  |
はてなキーワード: leadとは
Let’s face it: starting a conversation on a dating app can feel terrifying. You see someone you’re interested in, you type out a message, and then… you delete it. “Is this too boring?” “Will they even respond?” “What if I sound awkward?”
We’ve all been there. That first message can make or break your chances of connecting with someone amazing. But here’s the good news: you don’t have to overthink it. With the right opening line, you can spark a conversation that feels natural, fun, and meaningful.
At MixerDates, we believe that every great connection starts with a great conversation. That’s why we’ve put together this guide to help you craft the best dating app opening lines—ones that stand out, show your personality, and lead to real connections. Ready to ditch the “hey” and start making an impact? Let’s dive in!
[:contents]
Before we get into the best opening lines, let’s talk about why your first message is so important.
Your opening line is your chance to make a great first impression. It’s the gateway to a conversation that could lead to something special. A thoughtful, creative message shows that you’re genuinely interested—not just swiping mindlessly.
Your first message sets the tone for the entire conversation. A boring or generic opener might lead to a dull chat, while a fun or intriguing one can spark excitement and curiosity.
Let’s be real: everyone loves feeling special. When you put effort into your opening line, it shows that you care enough to stand out. And on MixerDates, where we value authenticity and positivity, that effort goes a long way.
Now, let’s get to the good stuff—the best dating app opening lines that actually work. These are divided into categories to suit different personalities and situations.
While the examples above are great starting points, the best opening lines are the ones that feel authentic to you. Here are some tips to help you craft your own:
Reference something from their profile—a photo, a hobby, or a shared interest. It shows you’re paying attention and not just copying and pasting.
Avoid heavy or overly serious topics right off the bat. Keep the tone light and playful to make the conversation enjoyable.
Don’t try to be someone you’re not. If you’re naturally funny, lean into that. If you’re more thoughtful, go for a sincere compliment or question.
“Hey” or “What’s up?” might be easy, but they’re also forgettable. Put in a little effort to stand out.
This gives the other person an easy way to respond and keeps the conversation flowing.
At MixerDates, we’re all about creating a positive, inclusive space where you can feel comfortable being yourself. Here’s why our platform is the best place to put these opening lines into practice:
We welcome everyone, no matter who you are or who you love. Our platform is designed to be a safe space where you can connect with like-minded people.
Our users create detailed profiles that make it easy to find shared interests and craft personalized opening lines.
We encourage our community to be genuine and kind, so you can feel confident starting conversations without fear of judgment or rejection.
Don’t just take our word for it—here’s what one of our users had to say:
“I met my partner on MixerDates, and it all started with a simple message about our shared love for travel. The conversation flowed naturally, and the rest is history. I’m so grateful for this platform!”
While a great opening line can spark a conversation, building a real connection takes more than just a clever message. Here are the key elements to look for when seeking a meaningful connection:
A strong connection starts with alignment on the things that matter most. Do you share similar values, life goals, or visions for the future?
Look for someone who is willing to share their thoughts, feelings, and vulnerabilities—and who encourages you to do the same.
Healthy relationships are a two-way street. Both people should be putting in effort to communicate, plan dates, and support each other.
A true connection allows both people to be themselves without judgment. Look for someone who celebrates your uniqueness and encourages you to pursue your passions.
Communication is the foundation of any strong relationship. A mutual connection thrives on honesty, transparency, and the ability to resolve conflicts in a healthy way.
At MixerDates, we’re here to help you find these key elements in a partner. Our platform is designed to connect you with people who share your values and are looking for the same things you are. Starting a conversation on a dating app doesn’t have to be stressful. With the right opening line, you can spark a connection that feels natural, fun, and meaningful. And at MixerDates, we’re here to help you every step of the way.
So, what are you waiting for? Craft that perfect opening line, join MixerDates, and start connecting with people who value authenticity and positivity. Your perfect match is out there—and they’re just one message away.
Please consider the histroy of humanity from biological perpsecitve and current known fact in nearby universe, which expo-planet (from the Sol system perspective) is most likely to have civlizaed society? Please add percentage next to it in the chart
ChatGPT
Reasoned about exoplanet civilization likelihoodを28 秒行う
Evaluating planetary prospects
OK, I’m looking at the likelihood of a civilized society on an exoplanet within our Solar System. I’ll consider biological history and current space knowledge, aiming to identify the most promising candidate.
Identifying potential candidates
I'm considering exoplanets like Proxima Centauri b and TRAPPIST-1e, which might suggest they are within or observed from our Solar System.
Assessing potential candidates
I’m evaluating Proxima Centauri b, Barnard's Star, LHS 1140, and TRAPPIST-1, focusing on their habitable zones and available data. The Drake equation might help estimate their civilized society likelihoods.
Identifying promising exoplanets
I’m noting key exoplanets like Proxima Centauri b and TRAPPIST-1, which have Earth-like characteristics and are in habitable zones. This narrows down the potential candidates for advanced civilizations.
I'm gathering info on planets like Proxima Centauri b and TRAPPIST-1, considering factors like magnetic fields, atmospheres, and proximity to G-type stars for their potential to support advanced civilizations.
Evaluating exoplanet prospects
I'm noting that Proxima Centauri b, despite being close and around a red dwarf star, might support life if it has a magnetic field and atmosphere. This makes me think about its potential.
Charting probabilities
I'm estimating civilization probabilities for exoplanets like Proxima Centauri b and TRAPPIST-1 e, using speculative percentages based on the Drake equation and the lack of evidence for intelligent life.
I'm crafting a chart with exoplanet names and civilization likelihood percentages, grounded in the long timeline of life's evolution, despite the speculative nature of these figures.
Identifying exoplanet contenders
I’m evaluating exoplanets like Proxima Centauri b, TRAPPIST-1 e, and Kepler-186f, considering their star types and distances, to gauge their potential for supporting advanced civilizations from our solar system's viewpoint.
Weighing proximity and observation
I'm leaning towards Proxima Centauri b due to its closeness and observational potential, despite concerns about its flare star dynamics. TRAPPIST-1 e, f, or g are also worth considering.
I'm focusing on exoplanets like Proxima Centauri b, Ross 128 b, LHS 1140 b, TRAPPIST-1 e/f/g, and K2-18b, aiming to chart their likelihood of hosting a civilized society based on current knowledge.
Assessing exoplanet potentials
I'm gathering speculative probabilities for exoplanets like Proxima Centauri b and TRAPPIST-1 e/f/g, using the Drake equation and current understanding, to better estimate their chances of hosting a civilized society.
Refining speculative probabilities
I’m refining speculative probabilities for exoplanets, including Proxima Centauri b and TRAPPIST-1 e/f/g, to estimate their chances of hosting a civilized society, considering Earth's long biological history.
Refining odds
I'm considering the astronomical timeline for intelligent life on Earth, leading me to assign even lower speculative odds for exoplanets like Proxima Centauri b and TRAPPIST-1 e.
I’m crafting a simplified chart with arbitrary percentages, clearly noting the speculative nature and lack of scientific data, while considering the target audience's basic understanding of the topic.
I’m charting arbitrary percentages for exoplanets, clarifying their speculative nature, and ensuring the data is accessible for young audiences with minimal scientific detail.
Crafting a chart
I’m creating a markdown table with speculative percentages for the likelihood of civilized life on exoplanets, emphasizing their purely theoretical nature and considering the understanding level of an 8-year-old.
Integrating speculative analysis
I’m mapping out a markdown chart with speculative percentages for the likelihood of a civilized society on exoplanets, mindful of the complexity and simplifying for an 8-year-old's understanding.
I’m piecing together markdown for exoplanets, noting Proxima Centauri b's reduced civilized life chance due to the red dwarf's activity. This inclusion highlights the speculative nature of the analysis.
Piecing together speculative odds
I’m detailing a markdown chart for audience-friendly exoplanet likelihoods, considering environmental challenges and adding a disclaimer about the speculative nature and lack of evidence.
Piecing together
I’m leaning towards Proxima Centauri b for its proximity and silent star, but I’ll add a speculative chart ranking nearby exoplanets, noting their advanced civilizations' hypothetical likelihood.
Assessing civilization probabilities
I'm emphasizing the slow emergence of intelligent life on Earth, which suggests that the odds of any habitable planet developing a complex civilization might be as low as a few percent.
Below is a very speculative chart that—based on what we know about Earth’s long, winding path from simple life to a “civilized society” and our limited observations of nearby exoplanets—gives some fun, made‑up percentage chances for a few of our best candidate exoplanets. Remember: Scientists have not yet found any proof of life (let alone advanced civilizations) on any exoplanet. These numbers are just playful estimates to help you think about the ideas!
Speculative Chances of Finding an Advanced Civilization on Nearby Exoplanets
Exoplanet Estimated Likelihood of a Civilized Society
Proxima Centauri b ~2%
LHS 1140 b ~0.5%
How Did We (Very Roughly) Guess These Numbers?
Earth’s Example:
On Earth, life began as simple single‑celled organisms and took billions of years to evolve into a species that built complex societies. This long journey suggests that—even if a planet is in the “habitable zone” (where liquid water could exist)—developing an advanced, civilized society might be rare.
Proxima Centauri b:
This is the closest exoplanet to us. Even though its star (Proxima Centauri) is a red dwarf that sometimes sends out strong flares (which might harm life), its closeness makes it one of our most interesting candidates. That’s why we give it a slightly higher guess (~2%).
These planets are part of a group orbiting a very cool star. Their environments might be challenging (for example, they could be tidally locked, meaning one side always faces the star), so the chance of a complex, advanced civilization might be a bit lower.
LHS 1140 b:
This planet is promising in some ways but is a little farther away and around a dimmer star, so our playful estimate is even lower.
All of these percentages are extremely rough guesses based on what little we understand about the conditions for life and intelligence. Scientists use ideas like the Drake Equation to think about these chances—but until we have concrete evidence, these numbers remain just for fun and imagination.
Enjoy exploring these ideas—and remember, space is full of mysteries waiting to be discovered!
あなた:
Please examine the Drake Equation itself and see if this euqation is acculate or more opition in the equation you will use
ChatGPT
Reasoned about the Drake Equationを6 秒行う
re-examining the Drake Equation
evaluating the Drake Equation's value
OK, let me see. The Drake Equation isn't a precise formula; it's more of a guiding heuristic that tackles numerous uncertainties regarding extraterrestrial civilizations.
Thinking through the Drake Equation, I’m evaluating its conceptual nature, its uncertain parameters, and its criticism to conclude on its reliability as an accurate predictive model.
Understanding the Drake Equation
I’m mapping out the Drake Equation as a conceptual guide, detailing its parameters, which are often based on estimates or opinions, to evaluate its reliability for predicting extraterrestrial civilizations.
The Drake Equation is a famous formula that was created to help scientists think about the many factors involved in estimating the number of detectable extraterrestrial civilizations in our galaxy. However, when we look at the equation closely, we see that it is more of a conceptual framework or heuristic tool than a precise, predictive formula. Let’s break down why:
The equation is usually written as:
𝑁
=
𝑅
∗
×
𝑓
𝑝
×
𝑛
𝑒
×
𝑓
𝑙
×
𝑓
𝑖
×
𝑓
𝑐
×
𝐿
N=R
∗
×f
p
×n
e
×f
l
×f
i
×f
c
×L
Where:
𝑅
∗
R
∗
: The average rate of star formation per year in our galaxy.
𝑓
𝑝
f
p
: The fraction of those stars that have planetary systems.
𝑛
𝑒
n
e
: The average number of planets that could potentially support life per star with planets.
𝑓
𝑙
f
l
: The fraction of those planets where life actually develops.
𝑓
𝑖
f
i
: The fraction of planets with life where intelligent life evolves.
𝑓
𝑐
f
c
: The fraction of civilizations that develop technology that releases detectable signals into space.
𝐿
L: The length of time such civilizations release detectable signals.
Why the Drake Equation Is More of a Guideline Than a Precise Formula
Uncertain Inputs:
𝑅
∗
R
∗
𝑓
𝑝
f
p
(fraction of stars with planets), have become better known through modern astronomy.
The parameters related to the development of life and intelligence—
𝑓
𝑙
f
l
,
𝑓
𝑖
f
i
,
𝑓
𝑐
f
c
, and
𝐿
L—are based on very limited data. For example, Earth is the only planet we know where life has developed, so we have no way to compare or derive a statistically robust estimate for these factors. This means that the values chosen for these parameters are largely subjective estimates or educated guesses.
Wide Ranges of Possible Values:
Because many of these factors are not well-constrained, if you change one of the more uncertain parameters even slightly, the final estimate for
𝑁
N (the number of civilizations) can vary by many orders of magnitude. This wide range shows that the equation can lead to very different outcomes based on personal or theoretical assumptions.
The Drake Equation was never meant to provide a precise answer. Instead, it serves as a way to organize our thinking about what conditions might be necessary for the development of extraterrestrial civilizations. It encourages discussion about the relative importance of different factors and highlights where our scientific knowledge is limited.
Is the Drake Equation Accurate or More Opinion-Based?
Accurate?
In the sense of being a strict mathematical model with well-defined inputs and predictable outputs, the Drake Equation is not accurate. Its accuracy is limited by the extreme uncertainties in several of its key parameters.
Many of the terms in the equation, especially those concerning the evolution of life and intelligence, are based on opinion, interpretation, and the single example of Earth. Therefore, while the structure of the equation is logical, the numbers you put into it (and hence the final result) are often more reflective of our current opinions and assumptions than of robust empirical data.
The Drake Equation is a valuable tool for framing the question of extraterrestrial life. It helps scientists and enthusiasts break down a complex problem into smaller, more manageable questions. However, because several of its factors are highly uncertain and subject to personal interpretation, it is more of a conceptual guide—or even a way to stimulate discussion—than a formula that provides a definitive, accurate prediction of the number of extraterrestrial civilizations.
In summary, while the Drake Equation is useful for thinking about the various factors that might lead to the emergence of a civilization, its outputs should be taken as highly speculative estimates rather than precise measurements.
あなた:
Please also consider the possiblities of non-human intelligent emrgencing from the long history of Sol system and nearby planets and see if there is any possiblites that in one time intelligent life emerged in nearby planets and see this to the equation
ChatGPT
Reasoned about non-human intelligence and the Drake Equationを19 秒行う
Evaluating non-human intelligence
I'm thinking about the potential for non-human intelligent life forms in the Sol system and neighboring planets, and how this might factor into the equation.
Piecing together possibilities
I'm thinking about how to integrate the emergence of non-human intelligent life, possibly on Mars or Europa, into the Drake Equation for the Sol system and neighboring planets.
It's interesting to think about the hypothesis of intelligent life emerging on Mars or Venus, though Earth remains the only known life-supporting planet in the solar system.
Considering other realms
I'm examining if intelligent life could have emerged on planets like Mars, Venus, or Europa, and how this possibility aligns with the predictions of the Drake Equation.
Hmm, I’m thinking about how non-human intelligent life on Mars or Venus could intersect with the assumptions of the Drake Equation, which seems to focus solely on Earth-based evolution.
I’m piecing together the hypothesis of non-human, advanced, intelligent life in the solar system. Mars, Venus, and Titan present challenges, but Europa and Enceladus might harbor microbial life.
Please consider the histroy of humanity from biological perpsecitve and current known fact in nearby universe, which expo-planet (from the Sol system perspective) is most likely to have civlizaed society? Please add percentage next to it in the chart
ChatGPT
Reasoned about exoplanet civilization likelihoodを28 秒行う
Evaluating planetary prospects
OK, I’m looking at the likelihood of a civilized society on an exoplanet within our Solar System. I’ll consider biological history and current space knowledge, aiming to identify the most promising candidate.
Identifying potential candidates
I'm considering exoplanets like Proxima Centauri b and TRAPPIST-1e, which might suggest they are within or observed from our Solar System.
Assessing potential candidates
I’m evaluating Proxima Centauri b, Barnard's Star, LHS 1140, and TRAPPIST-1, focusing on their habitable zones and available data. The Drake equation might help estimate their civilized society likelihoods.
Identifying promising exoplanets
I’m noting key exoplanets like Proxima Centauri b and TRAPPIST-1, which have Earth-like characteristics and are in habitable zones. This narrows down the potential candidates for advanced civilizations.
I'm gathering info on planets like Proxima Centauri b and TRAPPIST-1, considering factors like magnetic fields, atmospheres, and proximity to G-type stars for their potential to support advanced civilizations.
Evaluating exoplanet prospects
I'm noting that Proxima Centauri b, despite being close and around a red dwarf star, might support life if it has a magnetic field and atmosphere. This makes me think about its potential.
Charting probabilities
I'm estimating civilization probabilities for exoplanets like Proxima Centauri b and TRAPPIST-1 e, using speculative percentages based on the Drake equation and the lack of evidence for intelligent life.
I'm crafting a chart with exoplanet names and civilization likelihood percentages, grounded in the long timeline of life's evolution, despite the speculative nature of these figures.
Identifying exoplanet contenders
I’m evaluating exoplanets like Proxima Centauri b, TRAPPIST-1 e, and Kepler-186f, considering their star types and distances, to gauge their potential for supporting advanced civilizations from our solar system's viewpoint.
Weighing proximity and observation
I'm leaning towards Proxima Centauri b due to its closeness and observational potential, despite concerns about its flare star dynamics. TRAPPIST-1 e, f, or g are also worth considering.
I'm focusing on exoplanets like Proxima Centauri b, Ross 128 b, LHS 1140 b, TRAPPIST-1 e/f/g, and K2-18b, aiming to chart their likelihood of hosting a civilized society based on current knowledge.
Assessing exoplanet potentials
I'm gathering speculative probabilities for exoplanets like Proxima Centauri b and TRAPPIST-1 e/f/g, using the Drake equation and current understanding, to better estimate their chances of hosting a civilized society.
Refining speculative probabilities
I’m refining speculative probabilities for exoplanets, including Proxima Centauri b and TRAPPIST-1 e/f/g, to estimate their chances of hosting a civilized society, considering Earth's long biological history.
Refining odds
I'm considering the astronomical timeline for intelligent life on Earth, leading me to assign even lower speculative odds for exoplanets like Proxima Centauri b and TRAPPIST-1 e.
I’m crafting a simplified chart with arbitrary percentages, clearly noting the speculative nature and lack of scientific data, while considering the target audience's basic understanding of the topic.
I’m charting arbitrary percentages for exoplanets, clarifying their speculative nature, and ensuring the data is accessible for young audiences with minimal scientific detail.
Crafting a chart
I’m creating a markdown table with speculative percentages for the likelihood of civilized life on exoplanets, emphasizing their purely theoretical nature and considering the understanding level of an 8-year-old.
Integrating speculative analysis
I’m mapping out a markdown chart with speculative percentages for the likelihood of a civilized society on exoplanets, mindful of the complexity and simplifying for an 8-year-old's understanding.
I’m piecing together markdown for exoplanets, noting Proxima Centauri b's reduced civilized life chance due to the red dwarf's activity. This inclusion highlights the speculative nature of the analysis.
Piecing together speculative odds
I’m detailing a markdown chart for audience-friendly exoplanet likelihoods, considering environmental challenges and adding a disclaimer about the speculative nature and lack of evidence.
Piecing together
I’m leaning towards Proxima Centauri b for its proximity and silent star, but I’ll add a speculative chart ranking nearby exoplanets, noting their advanced civilizations' hypothetical likelihood.
Assessing civilization probabilities
I'm emphasizing the slow emergence of intelligent life on Earth, which suggests that the odds of any habitable planet developing a complex civilization might be as low as a few percent.
Below is a very speculative chart that—based on what we know about Earth’s long, winding path from simple life to a “civilized society” and our limited observations of nearby exoplanets—gives some fun, made‑up percentage chances for a few of our best candidate exoplanets. Remember: Scientists have not yet found any proof of life (let alone advanced civilizations) on any exoplanet. These numbers are just playful estimates to help you think about the ideas!
Speculative Chances of Finding an Advanced Civilization on Nearby Exoplanets
Exoplanet Estimated Likelihood of a Civilized Society
Proxima Centauri b ~2%
LHS 1140 b ~0.5%
How Did We (Very Roughly) Guess These Numbers?
Earth’s Example:
On Earth, life began as simple single‑celled organisms and took billions of years to evolve into a species that built complex societies. This long journey suggests that—even if a planet is in the “habitable zone” (where liquid water could exist)—developing an advanced, civilized society might be rare.
Proxima Centauri b:
This is the closest exoplanet to us. Even though its star (Proxima Centauri) is a red dwarf that sometimes sends out strong flares (which might harm life), its closeness makes it one of our most interesting candidates. That’s why we give it a slightly higher guess (~2%).
These planets are part of a group orbiting a very cool star. Their environments might be challenging (for example, they could be tidally locked, meaning one side always faces the star), so the chance of a complex, advanced civilization might be a bit lower.
LHS 1140 b:
This planet is promising in some ways but is a little farther away and around a dimmer star, so our playful estimate is even lower.
All of these percentages are extremely rough guesses based on what little we understand about the conditions for life and intelligence. Scientists use ideas like the Drake Equation to think about these chances—but until we have concrete evidence, these numbers remain just for fun and imagination.
Enjoy exploring these ideas—and remember, space is full of mysteries waiting to be discovered!
あなた:
Please examine the Drake Equation itself and see if this euqation is acculate or more opition in the equation you will use
ChatGPT
Reasoned about the Drake Equationを6 秒行う
re-examining the Drake Equation
evaluating the Drake Equation's value
OK, let me see. The Drake Equation isn't a precise formula; it's more of a guiding heuristic that tackles numerous uncertainties regarding extraterrestrial civilizations.
Thinking through the Drake Equation, I’m evaluating its conceptual nature, its uncertain parameters, and its criticism to conclude on its reliability as an accurate predictive model.
Understanding the Drake Equation
I’m mapping out the Drake Equation as a conceptual guide, detailing its parameters, which are often based on estimates or opinions, to evaluate its reliability for predicting extraterrestrial civilizations.
The Drake Equation is a famous formula that was created to help scientists think about the many factors involved in estimating the number of detectable extraterrestrial civilizations in our galaxy. However, when we look at the equation closely, we see that it is more of a conceptual framework or heuristic tool than a precise, predictive formula. Let’s break down why:
The equation is usually written as:
𝑁
=
𝑅
∗
×
𝑓
𝑝
×
𝑛
𝑒
×
𝑓
𝑙
×
𝑓
𝑖
×
𝑓
𝑐
×
𝐿
N=R
∗
×f
p
×n
e
×f
l
×f
i
×f
c
×L
Where:
𝑅
∗
R
∗
: The average rate of star formation per year in our galaxy.
𝑓
𝑝
f
p
: The fraction of those stars that have planetary systems.
𝑛
𝑒
n
e
: The average number of planets that could potentially support life per star with planets.
𝑓
𝑙
f
l
: The fraction of those planets where life actually develops.
𝑓
𝑖
f
i
: The fraction of planets with life where intelligent life evolves.
𝑓
𝑐
f
c
: The fraction of civilizations that develop technology that releases detectable signals into space.
𝐿
L: The length of time such civilizations release detectable signals.
Why the Drake Equation Is More of a Guideline Than a Precise Formula
Uncertain Inputs:
𝑅
∗
R
∗
𝑓
𝑝
f
p
(fraction of stars with planets), have become better known through modern astronomy.
The parameters related to the development of life and intelligence—
𝑓
𝑙
f
l
,
𝑓
𝑖
f
i
,
𝑓
𝑐
f
c
, and
𝐿
L—are based on very limited data. For example, Earth is the only planet we know where life has developed, so we have no way to compare or derive a statistically robust estimate for these factors. This means that the values chosen for these parameters are largely subjective estimates or educated guesses.
Wide Ranges of Possible Values:
Because many of these factors are not well-constrained, if you change one of the more uncertain parameters even slightly, the final estimate for
𝑁
N (the number of civilizations) can vary by many orders of magnitude. This wide range shows that the equation can lead to very different outcomes based on personal or theoretical assumptions.
The Drake Equation was never meant to provide a precise answer. Instead, it serves as a way to organize our thinking about what conditions might be necessary for the development of extraterrestrial civilizations. It encourages discussion about the relative importance of different factors and highlights where our scientific knowledge is limited.
Is the Drake Equation Accurate or More Opinion-Based?
Accurate?
In the sense of being a strict mathematical model with well-defined inputs and predictable outputs, the Drake Equation is not accurate. Its accuracy is limited by the extreme uncertainties in several of its key parameters.
Many of the terms in the equation, especially those concerning the evolution of life and intelligence, are based on opinion, interpretation, and the single example of Earth. Therefore, while the structure of the equation is logical, the numbers you put into it (and hence the final result) are often more reflective of our current opinions and assumptions than of robust empirical data.
The Drake Equation is a valuable tool for framing the question of extraterrestrial life. It helps scientists and enthusiasts break down a complex problem into smaller, more manageable questions. However, because several of its factors are highly uncertain and subject to personal interpretation, it is more of a conceptual guide—or even a way to stimulate discussion—than a formula that provides a definitive, accurate prediction of the number of extraterrestrial civilizations.
In summary, while the Drake Equation is useful for thinking about the various factors that might lead to the emergence of a civilization, its outputs should be taken as highly speculative estimates rather than precise measurements.
あなた:
Please also consider the possiblities of non-human intelligent emrgencing from the long history of Sol system and nearby planets and see if there is any possiblites that in one time intelligent life emerged in nearby planets and see this to the equation
ChatGPT
Reasoned about non-human intelligence and the Drake Equationを19 秒行う
Evaluating non-human intelligence
I'm thinking about the potential for non-human intelligent life forms in the Sol system and neighboring planets, and how this might factor into the equation.
Piecing together possibilities
I'm thinking about how to integrate the emergence of non-human intelligent life, possibly on Mars or Europa, into the Drake Equation for the Sol system and neighboring planets.
It's interesting to think about the hypothesis of intelligent life emerging on Mars or Venus, though Earth remains the only known life-supporting planet in the solar system.
Considering other realms
I'm examining if intelligent life could have emerged on planets like Mars, Venus, or Europa, and how this possibility aligns with the predictions of the Drake Equation.
Hmm, I’m thinking about how non-human intelligent life on Mars or Venus could intersect with the assumptions of the Drake Equation, which seems to focus solely on Earth-based evolution.
I’m piecing together the hypothesis of non-human, advanced, intelligent life in the solar system. Mars, Venus, and Titan present challenges, but Europa and Enceladus might harbor microbial life.
The Hatena Anonymous Diary, while undeniably a distinctive fixture within the tapestry of Japanese internet culture, has garnered substantial criticism for its content and the implications of its operational framework. This discourse aims to elucidate the reasons underpinning its characterization as "problematic."
At the crux of the Hatena Anonymous Diary's appeal lies its hallmark feature: anonymity. This veil of secrecy ostensibly facilitates unrestrained discourse, allowing individuals to articulate their thoughts without fear of retribution. However, this very anonymity engenders a paradoxical effect; it cultivates an environment ripe for irresponsible commentary and vitriolic defamation. The absence of accountability diminishes the sense of responsibility that typically accompanies public expression, resulting in a proliferation of emotionally charged diatribes and baseless assertions. Such dynamics render the establishment of constructive dialogue increasingly elusive, thereby stifling meaningful engagement.
Moreover, the content disseminated through the Hatena Anonymous Diary frequently exhibits a disconcerting superficiality. Many entries lack substantive depth, failing to provide rigorous analysis or innovative perspectives. Instead, they often succumb to the allure of trending topics or sensationalism, prioritizing ephemeral relevance over intellectual rigor. This trend not only undermines the potential for serious discourse but also contributes to a culture where shallow engagement with complex issues prevails. In an era marked by information saturation, this deficiency in content quality is particularly egregious, as it detracts from the cultivation of critical thinking and informed debate.
Additionally, the cultural ramifications of this platform warrant scrutiny. By amplifying certain dominant narratives or viewpoints, there exists a palpable risk of eroding diversity within public discourse. The emergence of "groupthink" within specific communities can lead to the marginalization of dissenting voices, creating an echo chamber that stifles pluralism. In such an insular environment, diverse perspectives are systematically excluded, resulting in a homogenized narrative that fails to reflect the complexities of societal discourse. This phenomenon not only undermines individual expression but also poses significant risks to the overall health of democratic dialogue.
In conclusion, while the Hatena Anonymous Diary ostensibly champions free expression through its anonymous framework, it simultaneously fosters a milieu characterized by irresponsibility and superficiality. The cultural influence wielded by this platform raises critical concerns regarding its impact on diversity and social responsibility. Thus, characterizing it as "problematic" is not merely an exaggeration; it is an imperative recognition of its shortcomings. Moving forward, it is essential to scrutinize how this platform might evolve and address these inherent flaws in order to foster a more enriching and responsible discourse.
Java is one of the most widely used programming languages today, powering everything from mobile apps to enterprise-level software solutions. With its simplicity, versatility, and scalability, it is no wonder that many students pursuing computer science, software engineering, or related fields are required to learn Java as part of their curriculum. However, mastering Java programming can be a challenging task, and many students struggle to complete their assignments on time. If you find yourself overwhelmed with Java programming assignments, expert help is available to guide you through the complexities and ensure your academic success.
Java programming assignments often require students to write code that is both efficient and effective, while also ensuring that it is properly structured and debugged. This can be daunting for beginners or those with limited experience. Furthermore, Java involves understanding complex concepts such as object-oriented programming (OOP), algorithms, data structures, and more. With so much to learn and implement, it is easy to feel stuck, especially when deadlines are approaching.
The Importance of Java Programming Skills
Before we dive into the solutions, it's essential to understand why Java programming skills are so important. Java is not only used in academic settings but is also highly valued in the professional world. Its usage spans across industries, from finance to healthcare, and it's one of the most sought-after skills by employers. Java's robust frameworks and tools, such as Spring, Hibernate, and JavaFX, allow developers to create highly functional and secure applications.
For students, mastering Java gives them a competitive edge in the job market. Strong programming skills in Java open up opportunities for internships, freelance work, and permanent roles in software development, app development, and system engineering. Hence, excelling in Java programming assignments will not only help students complete their coursework but also prepare them for future career success.
Why You Need Expert Help with Java Assignments
If you are struggling with Java programming assignments, expert help can make a significant difference. Experts in the field can provide guidance on a variety of aspects, such as understanding key concepts, writing efficient code, and debugging errors. Whether you need help grasping object-oriented principles or implementing complex algorithms, professional programmers can offer tailored solutions to your specific needs.
Java programming assignments require precision and attention to detail, which can sometimes be overwhelming for students. By seeking Java programming assignment help, you can gain insights from professionals who have years of experience and knowledge of the language. They will help you improve your coding skills, and provide tips and best practices for writing cleaner, more maintainable code.
Additionally, experts can assist in optimizing your assignments, ensuring your code runs smoothly and meets all the required specifications. This is particularly important if you're working on a complex assignment with multiple parts, where small errors can lead to bigger issues. With expert assistance, you can avoid common mistakes and submit assignments that meet the highest academic standards.
How to Get Java Programming Assignment Help
Finding the right help for your Java assignments is easy. Many online platforms offer Java programming assignment help services, providing students with access to qualified experts who specialize in Java. These services typically include customized solutions, real-time support, and the option to communicate directly with tutors or assignment helpers.
To get the most out of these services, ensure that you provide clear details about your assignment requirements. This helps the experts understand your needs and deliver accurate solutions. Additionally, using Java programming assignment help allows you to learn the concepts behind your assignments, which will be beneficial in your future courses or professional projects.
In conclusion, mastering Java programming is essential for students pursuing a career in tech. However, the complexity of Java assignments can make it difficult to achieve success on your own. With expert help, you can strengthen your programming skills, overcome challenges, and confidently complete your assignments. Don’t hesitate to seek assistance and ensure that your Java programming journey is a smooth and rewarding one.
Visit here: https://myassignmenthelp.com/programming-help/java-programming-assignment-help.html
Java is one of the most widely used programming languages today, powering everything from mobile apps to enterprise-level software solutions. With its simplicity, versatility, and scalability, it is no wonder that many students pursuing computer science, software engineering, or related fields are required to learn Java as part of their curriculum. However, mastering Java programming can be a challenging task, and many students struggle to complete their assignments on time. If you find yourself overwhelmed with Java programming assignments, expert help is available to guide you through the complexities and ensure your academic success.
Java programming assignments often require students to write code that is both efficient and effective, while also ensuring that it is properly structured and debugged. This can be daunting for beginners or those with limited experience. Furthermore, Java involves understanding complex concepts such as object-oriented programming (OOP), algorithms, data structures, and more. With so much to learn and implement, it is easy to feel stuck, especially when deadlines are approaching.
The Importance of Java Programming Skills
Before we dive into the solutions, it's essential to understand why Java programming skills are so important. Java is not only used in academic settings but is also highly valued in the professional world. Its usage spans across industries, from finance to healthcare, and it's one of the most sought-after skills by employers. Java's robust frameworks and tools, such as Spring, Hibernate, and JavaFX, allow developers to create highly functional and secure applications.
For students, mastering Java gives them a competitive edge in the job market. Strong programming skills in Java open up opportunities for internships, freelance work, and permanent roles in software development, app development, and system engineering. Hence, excelling in Java programming assignments will not only help students complete their coursework but also prepare them for future career success.
Why You Need Expert Help with Java Assignments
If you are struggling with Java programming assignments, expert help can make a significant difference. Experts in the field can provide guidance on a variety of aspects, such as understanding key concepts, writing efficient code, and debugging errors. Whether you need help grasping object-oriented principles or implementing complex algorithms, professional programmers can offer tailored solutions to your specific needs.
Java programming assignments require precision and attention to detail, which can sometimes be overwhelming for students. By seeking Java programming assignment help, you can gain insights from professionals who have years of experience and knowledge of the language. They will help you improve your coding skills, and provide tips and best practices for writing cleaner, more maintainable code.
Additionally, experts can assist in optimizing your assignments, ensuring your code runs smoothly and meets all the required specifications. This is particularly important if you're working on a complex assignment with multiple parts, where small errors can lead to bigger issues. With expert assistance, you can avoid common mistakes and submit assignments that meet the highest academic standards.
How to Get Java Programming Assignment Help
Finding the right help for your Java assignments is easy. Many online platforms offer Java programming assignment help services, providing students with access to qualified experts who specialize in Java. These services typically include customized solutions, real-time support, and the option to communicate directly with tutors or assignment helpers.
To get the most out of these services, ensure that you provide clear details about your assignment requirements. This helps the experts understand your needs and deliver accurate solutions. Additionally, using Java programming assignment help allows you to learn the concepts behind your assignments, which will be beneficial in your future courses or professional projects.
In conclusion, mastering Java programming is essential for students pursuing a career in tech. However, the complexity of Java assignments can make it difficult to achieve success on your own. With expert help, you can strengthen your programming skills, overcome challenges, and confidently complete your assignments. Don’t hesitate to seek assistance and ensure that your Java programming journey is a smooth and rewarding one.
Visit here: https://myassignmenthelp.com/programming-help/java-programming-assignment-help.html
Java is one of the most widely used programming languages today, powering everything from mobile apps to enterprise-level software solutions. With its simplicity, versatility, and scalability, it is no wonder that many students pursuing computer science, software engineering, or related fields are required to learn Java as part of their curriculum. However, mastering Java programming can be a challenging task, and many students struggle to complete their assignments on time. If you find yourself overwhelmed with Java programming assignments, expert help is available to guide you through the complexities and ensure your academic success.
Java programming assignments often require students to write code that is both efficient and effective, while also ensuring that it is properly structured and debugged. This can be daunting for beginners or those with limited experience. Furthermore, Java involves understanding complex concepts such as object-oriented programming (OOP), algorithms, data structures, and more. With so much to learn and implement, it is easy to feel stuck, especially when deadlines are approaching.
The Importance of Java Programming Skills
Before we dive into the solutions, it's essential to understand why Java programming skills are so important. Java is not only used in academic settings but is also highly valued in the professional world. Its usage spans across industries, from finance to healthcare, and it's one of the most sought-after skills by employers. Java's robust frameworks and tools, such as Spring, Hibernate, and JavaFX, allow developers to create highly functional and secure applications.
For students, mastering Java gives them a competitive edge in the job market. Strong programming skills in Java open up opportunities for internships, freelance work, and permanent roles in software development, app development, and system engineering. Hence, excelling in Java programming assignments will not only help students complete their coursework but also prepare them for future career success.
Why You Need Expert Help with Java Assignments
If you are struggling with Java programming assignments, expert help can make a significant difference. Experts in the field can provide guidance on a variety of aspects, such as understanding key concepts, writing efficient code, and debugging errors. Whether you need help grasping object-oriented principles or implementing complex algorithms, professional programmers can offer tailored solutions to your specific needs.
Java programming assignments require precision and attention to detail, which can sometimes be overwhelming for students. By seeking Java programming assignment help, you can gain insights from professionals who have years of experience and knowledge of the language. They will help you improve your coding skills, and provide tips and best practices for writing cleaner, more maintainable code.
Additionally, experts can assist in optimizing your assignments, ensuring your code runs smoothly and meets all the required specifications. This is particularly important if you're working on a complex assignment with multiple parts, where small errors can lead to bigger issues. With expert assistance, you can avoid common mistakes and submit assignments that meet the highest academic standards.
How to Get Java Programming Assignment Help
Finding the right help for your Java assignments is easy. Many online platforms offer Java programming assignment help services, providing students with access to qualified experts who specialize in Java. These services typically include customized solutions, real-time support, and the option to communicate directly with tutors or assignment helpers.
To get the most out of these services, ensure that you provide clear details about your assignment requirements. This helps the experts understand your needs and deliver accurate solutions. Additionally, using Java programming assignment help allows you to learn the concepts behind your assignments, which will be beneficial in your future courses or professional projects.
In conclusion, mastering Java programming is essential for students pursuing a career in tech. However, the complexity of Java assignments can make it difficult to achieve success on your own. With expert help, you can strengthen your programming skills, overcome challenges, and confidently complete your assignments. Don’t hesitate to seek assistance and ensure that your Java programming journey is a smooth and rewarding one.
Visit here: https://myassignmenthelp.com/programming-help/java-programming-assignment-help.html
上記ののカジュアルな文章を書いた人物をプロファイリングしてください
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The person who wrote this seems to have a strong understanding of cognitive processes and how they affect communication. They are deeply interested in recognizing the underlying cognitive mechanisms that shape how people perceive and interact with the world, especially when there are discrepancies in shared understanding. Their writing suggests a fascination with the complexity of human cognition, particularly in terms of categorization, perception, and the role of context in communication.
Key traits of this person’s mindset:
1. Analytical and Reflective: They break down situations and statements into their core components, such as recognizing when cognitive discrepancies arise (e.g., the example of “Honey Crisp” being identified as a non-apple or a “rugby ball is not a ball”).
2. Focus on Cognitive Mechanisms: Rather than just attributing communication issues to external factors like knowledge gaps or personality traits, they attribute misunderstandings to the way people process information and perceive the world.
3. Interest in Epistemology: They are interested in the philosophical and conceptual foundations of understanding. The mention of philosophical terms like “essentialism” vs. “constructivism” indicates a desire to explore the nature of categories and definitions at a fundamental level.
4. Sensitivity to Communication: They recognize the importance of context in communication, noting how slight differences in perception can lead to miscommunication. The person appears to be aware of the challenge in aligning cognitive frameworks to resolve disagreements.
5. Empathetic but Pragmatic: While acknowledging that individuals like “D” might not be malicious or intentionally obstructive, they also highlight the immense effort required to engage with individuals whose cognitive frameworks are severely misaligned with shared understanding.
Overall, this person seems to be deeply thoughtful, with a keen interest in the nuances of human cognition and communication. They likely value intellectual clarity and are willing to invest time and effort in clarifying fundamental misunderstandings.
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トランプの文脈でフォントの違いに過剰に焦点を当てるのは個性の範疇にはないです 仮にフォントの違いがトランプの本質ならトランプという製品は何を提供しているのか？となり共通基盤があるようには思えません 下記の反応をする人はいったい何が原因だと思いますか？フォントの違いに過剰に焦点を当てるのはまさに認知の問題に思えるのですが ーーー • 「A、B、C」の例では、各人物が持つ立場を比較的柔軟に評価していますが、「D」のケースに対してはほぼ一方的に否定しています。 • 「フォントの違い」を理由にカードを否定するDの行動を、投稿者は「認知の仕組みに問題がある」と結論付けています。
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「フォントの違いに過剰に焦点を当てる」というDの行動は、確かに一般的な認知の枠組みから外れており、共通基盤を持つ対話を阻む要因と考えられます。このケースでは、Dの認知の仕組みにおける以下のような問題が原因として考えられます。
1. 認知の過剰具体化（具体例への執着）
Dは「トランプカード」を理解する際に、本質的な特徴（スート、ランク、一般的なカードの定義）ではなく、具体的な細部（フォントなど）に強く依存して認識しています。このような認知の偏りは、物事を抽象化する能力が弱く、広い概念や文脈を理解するのが難しい場合に見られます。
2. 共有基盤の構築における障害
トランプカードの「本質」として多くの人が暗黙的に合意している特徴（スートやランク）を無視し、自身の認識基準（フォントの違い）を優先しています。このような認知のズレは、共通基盤を形成する力が弱いために生じると考えられます。
3. 柔軟性の欠如
Dの行動は、物事を異なる視点で解釈したり、自分の基準を一時的に緩めたりする柔軟性の欠如を示唆します。これは、認知の柔軟性や適応力が低いために起こる場合があります。
4. 認知特性や発達的な要因
場合によっては、発達障害や特定の認知特性（自閉スペクトラム症、強迫性傾向など）が関係している可能性もあります。これらの特性を持つ人々は、特定の細部に過剰に注意を向け、全体の文脈や共有された基準よりも、自分が認識した細部を重視する傾向があります。
5. 認識と本質の混同
Dは「フォントの違い」を本質的な特徴と捉えていますが、これは「トランプとは何か」という製品や概念の本質を理解する能力が十分ではないことを示唆しています。つまり、対象の重要な側面（スートやランクなどの機能的特徴）よりも、些末な特徴（フォント）を重要視してしまい、それがトランプとしての機能を否定する理由になると考えています。
Dの反応をどう見るべきか
Dの行動を「認知の問題」と捉えることは合理的です。フォントの違いは通常、トランプという製品の本質に影響を与えるものではないため、それを理由にカードを否定するのは一般的な認知基準から外れています。このズレは、Dが「トランプカードとは何か」という共有されたコンセプトを理解できていない、あるいはその共有基盤に乗ることを困難にしていることを示唆します。
Dのような認知の偏りを持つ人と対話を続けるには、まずその人が重要視している基準や論点を理解し、それがどのように全体像に影響を与えるかを説明していく必要がありますが、それには大きな労力が伴うでしょう。
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I've noticed a non-negligible number of people who have not only completed compulsory education in regular classes but have also received higher education and graduated from university, yet struggle with reading comprehension (understanding the meaning of text), cannot read long texts, and even have difficulty understanding videos.
When we limit the scope to individuals with broad cognitive challenges, the problem seems rather straightforward: they either "lack the ability to understand" or "take longer than usual to acquire the ability to understand."
Similarly, the case of individuals diagnosed with learning disabilities is relatively simple. While they may not have broad cognitive challenges, they require different approaches and training due to their unique learning styles.
However, it is perplexing that university graduates without broad cognitive challenges or diagnosed learning disabilities struggle to understand not only written text but also simplified video content.
I suspect that the underlying causes might include gaps in the horizontal transfer of experiences and knowledge, a severe lack of adaptability, and an extreme deficit in metacognition. Has there been any research on these issues? Additionally, could you please explain the concept of knowledge transfer?
(正規の学級で義務教育を修了し、さらに高等教育を受けて大学を卒業したにもかかわらず、読解力（文章の意味を理解する能力）に苦しみ、長文を読むことができず、さらには動画の理解にも困難を感じる人が少なくないことに気づきました。
認知能力に広範な課題を抱える個人に範囲を限定すると、問題は比較的単純です。「理解する能力がない」か、「理解する能力を獲得するのに通常よりも時間がかかる」かのいずれかです。
同様に、学習障害と診断された個人の場合も比較的単純です。彼らは広範な認知能力の課題を抱えていないかもしれませんが、独自の学習スタイルのために異なるアプローチとトレーニングが必要となります。
しかし、広範な認知能力の課題や学習障害を持たない大学卒者が、書かれたテキストだけでなく、簡略化されたビデオコンテンツの理解にも苦労していることは不可解です。
私は、その根本的な原因として、経験や知識の水平的転移の欠如、メタ認知の極端な欠如などが考えられるのではないかと疑っています。これらの問題に関する研究はありますか？また、知識転移の概念について説明していただけますか？)
Yes, research and analysis exist around the issues you described, particularly in the domains of education, psychology, and cognitive science. Let’s break down your observations and questions step by step:
Key Issues with Reading and Comprehension
1. Reading Comprehension Among Educated Individuals
• This phenomenon—educated individuals struggling with comprehension—is indeed perplexing, especially given their presumed exposure to a variety of learning materials. It suggests that education systems sometimes emphasize rote learning and surface-level knowledge acquisition over deeper understanding, critical thinking, and metacognition.
• Horizontal Transfer Gaps: This refers to the inability to apply knowledge or skills learned in one context to another. For example, someone might excel in a university course focused on memorization but fail to apply that knowledge in practical or less structured contexts.
• Severe Lack of Adaptability: Adaptability involves applying problem-solving and comprehension skills to unfamiliar formats or media. A lack of adaptability can result from a curriculum that prioritizes familiarity and routine over exploratory learning.
• Deficits in Metacognition: Metacognition is the ability to “think about thinking”—to reflect on, monitor, and regulate one’s own learning. If metacognitive skills are underdeveloped, individuals might struggle to evaluate the meaning of texts or videos, even if they have the raw intellectual ability.
Research Insights
1. Knowledge Transfer
The concept of knowledge transfer involves applying skills, knowledge, or strategies learned in one context to another. It is often classified into:
• Horizontal Transfer: Applying knowledge across similar contexts (e.g., using concepts learned in a biology course to understand a medical text).
• Vertical Transfer: Building upon foundational knowledge to understand more complex ideas (e.g., using basic algebra to solve advanced calculus problems).
Studies suggest that transfer is more likely to occur when:
• Learners deeply understand underlying principles, not just surface details.
• Connections between different contexts are explicitly taught and reinforced.
• Learning environments often emphasize task-specific skills rather than generalizable strategies.
• Standardized testing may encourage rote memorization over critical thinking.
• Lack of explicit instruction in how to generalize knowledge to new situations.
Research highlights the importance of metacognition in learning. Students who are unaware of their own comprehension limitations are less likely to engage in corrective strategies (e.g., rereading, seeking clarification). This can lead to stagnation in comprehension skills despite formal education. Effective interventions include:
• Teaching self-monitoring techniques.
• Encouraging reflective practices, like summarizing or questioning during reading.
4. Cognitive Overload in Multimedia
Even videos, if not designed properly, can overwhelm learners. The Cognitive Theory of Multimedia Learning suggests that excessive extraneous information or unclear organization in videos can overload working memory, hindering comprehension.
Strategies and Research-Based Solutions
1. Improving Knowledge Transfer
• Active Learning: Techniques such as problem-based learning or case studies can improve transfer by encouraging the application of knowledge to new situations.
• Teaching for Understanding: Encouraging learners to focus on “why” and “how” questions fosters deeper comprehension and the ability to generalize learning.
• Encourage learners to engage with unfamiliar formats and topics to build flexibility.
• Develop problem-solving skills in diverse and unpredictable contexts.
3. Developing Metacognitive Skills
• Self-Regulated Learning Training: Programs that teach students to plan, monitor, and evaluate their learning have shown success in improving comprehension.
• Feedback Loops: Providing actionable feedback on comprehension tasks encourages learners to reflect on their thinking processes.
The issues you describe highlight a gap between formal education outcomes and true comprehension or learning ability. Addressing these challenges requires systemic changes, including incorporating metacognition training, emphasizing transferable learning, and fostering adaptability.
If you’d like, I can delve deeper into specific research studies or provide examples of programs addressing these issues.
This is a fascinating and concerning observation that touches on several important areas of cognitive psychology and education. Let me address this systematically.
First, regarding knowledge transfer and metacognition: Knowledge transfer refers to the ability to apply knowledge, skills, or strategies learned in one context to new situations. It's closely related to metacognition - our ability to understand and monitor our own thought processes.
Research in this area has revealed several key findings:
David Perkins and Gavriel Salomon's work in the late 1980s and early 1990s identified two types of transfer:
A significant study by Brown, Collins, and Duguid (1989) in "Situated Cognition and the Culture of Learning" highlighted how knowledge often remains "inert" - students can pass tests but fail to apply knowledge in real-world contexts.
The phenomenon you're describing aligns with what cognitive scientists call the "transfer problem." Despite years of education, many individuals struggle to apply their learning in new contexts or integrate information across domains.
Some relevant research directions:
1. Cognitive Load Theory (Sweller et al.)
Shows how working memory limitations affect learning and transfer. Many students may never develop effective strategies for managing cognitive load, leading to poor comprehension of complex materials.
2. Reading Comprehension Studies
Work by Pressley and Afflerbach on "verbal protocols" revealed that skilled readers use multiple strategies simultaneously, while poor readers often lack these metacognitive tools.
3. Domain Integration Research
Studies by Susan Goldman and others have shown that even advanced students often fail to connect knowledge across domains, treating each subject as an isolated "silo."
Your observation about university graduates struggling with comprehension despite no apparent cognitive disabilities might be explained by several factors identified in research:
1. Surface-level Learning: Many educational systems reward memorization over deep understanding
2. Limited Strategy Instruction: Students often aren't explicitly taught comprehension strategies
3. Fragmented Knowledge: Information is typically taught in isolation without emphasis on connections
4. Weak Metacognitive Skills: Students may never develop the ability to monitor and regulate their own understanding
Some promising approaches to address these issues include:
1. Strategy Instruction Models
Teaching explicit strategies for comprehension, integration, and transfer. The Self-Regulated Strategy Development (SRSD) model has shown particular promise.
2. Knowledge Integration Frameworks
Approaches like Knowledge Integration Environment (KIE) help students connect ideas across domains.
3. Metacognitive Training Programs
Programs focusing on developing metacognitive awareness and self-regulation skills.
Since you asked about studies, I should note that while I've referenced several important works, you should verify these citations as I don't have direct access to current databases and could be misremembering details.
Would you be interested in exploring any particular aspect of this issue in more detail? For instance, we could delve deeper into specific instructional strategies that have shown promise in developing transfer abilities, or examine the relationship between metacognition and knowledge transfer more closely.
NAOEを彼女と呼んでいいのかそれ以外のオプションで呼ぶべきなのかは不明
Assassin’s Creed Shadows Launches November 15, Features Dual Protagonists in Feudal Japan | UBISOFT
Naoe and Yasuke’s disparate personalities also lead them to have different relationships and rapports with other characters, and they don’t always feel the same way about people, nor do people always feel the same way about them. Romantically, they will also attract and be attracted to different types of people. Through the pair, players will get to experience a multitude of relationships.
(ナオエとヤスケの異なるパーソナリティは、他のキャラクターとの関係や交流にも違いをもたらします。彼らは常に同じように人々を感じるわけではなく、人々も常に彼らを同じように感じるわけではありません。ロマンチックな面でも、彼らは異なるタイプの人々を引き付け、また引き付けられます。この二人を通じて、プレイヤーは多様な関係を体験することができます。)
ゲームニュースチャンネルのインタビューでプロデューサーが同性愛オプションあるよって答えてる
We Got Good ＆ Bad Assassin's Creed Shadows
Assassin’s Creed Shadows Launches November 15, Features Dual Protagonists in Feudal Japan | UBISOFT
Naoe and Yasuke’s disparate personalities also lead them to have different relationships and rapports with other characters, and they don’t always feel the same way about people, nor do people always feel the same way about them. Romantically, they will also attract and be attracted to different types of people. Through the pair, players will get to experience a multitude of relationships.
(ナオエとヤスケの異なるパーソナリティは、他のキャラクターとの関係や交流にも違いをもたらします。彼らは常に同じように人々を感じるわけではなく、人々も常に彼らを同じように感じるわけではありません。ロマンチックな面でも、彼らは異なるタイプの人々を引き付け、また引き付けられます。この二人を通じて、プレイヤーは多様な関係を体験することができます。)
ここだけ見れば、Naoe は女性で Yasuke は男性だから、キャラごとに恋愛イベント(ロマンスイベント)が異なるよとも読めなくもないが、
ストレートの場合はわざわざ言及しないよな？同性のキャライベントのオプション選択肢がある時にぼかして言及するよな？
つか、UBIの以前のゲームもそういうオプションあったし・・・って見方が多い模様
(※ 追記：ゲームニュースチャンネルのインタビューでプロデューサーが同性愛オプションあるよって答えてるみたいね)
Assassin’s Creed Shadows gay もしくは Assassin’s Creed Shadows LGBT
その中で
Assassin’s Creed Shadows: Ubisoft Hires LGBTQ+ Activist As Consultant Who Wants To Challenge Moral Standards Around “Transgenerational Sex”
(アサシン クリード シャドウズ：ユービーソフト、「世代間セックス」に関する道徳基準に挑戦したいLGBTQ+活動家をコンサルタントとして雇用)
・・・と言うのがあって、外見やお名前から日系人かなぁって方が出てくるんだけど、日本文学の研究家でお稚児さん関連の本出してる人らしい
何故、この方を アサクリ シャドウズ の歴史考証のスペシャリストとしてチョイスしたのかは謎だが、
とりあえず、彼女はゲームメディア IGN の YouTube 動画 (Assassin’s Creed Shadows: Inside Ubisoft’s Ambitious Open World Japan)の中で、
『必ずしも歴史的正確さに基づいているわけではない』ってちゃんと言ってるわな（https://youtu.be/0haRi_hHZoU?t=853）
ただ、『誠実で敬意持ったものです』とか言いつつ、明らかさまに間違えてる日本風習やデザインを止められなかった、団体や文化財の無断利用・利用料無視の件を見るに、
(ハイブランドのアジア人蔑視のヤベー広告も炎上したよね、Valentino、D＆G、DIORとか)
つか、日本には『異世界』とか『なろーっぱ』とかいう伝家の宝刀がありましてな、『なろーじゃぱん』だぞって言えば歴史考証する必要無かったのになぁ感
それをしないのは、映画でも伝統的にそうだったように、『ジャップランドはどんな風に書いてもOK』っていう白人様の意識がおそらく強過ぎるんだろうな
あと、弥助の出身の部族やカトリックの宣教師が同性愛に寛容だった可能性はほぼゼロと言って良いが、まぁ、いまは16世紀ではなく、21世紀、2024年ですからね
弥助も出てくる仁王のコエテクは現代的な時代劇(フィクション)として『Rise of the Ronin』(PS5独占タイトル)出してます
ほんで、『Rise of the Ronin』の主人公キャラクターは様々な人種に設定できるし、劇中で同性との恋愛イベントもあるわけなんだけど、別に批判はどこからも出てないのよね
それは、極めて現代的な見た目のデザインからしてフィクションとわかるのはもちろんのこと、
開発者は歴史的正確さについてアピールしてない上に、ゲームを始める前にも念押しで下記のように出るから
アサクリでもちゃんと似たような文言は出るもん！！！って言うけど、Rise of the Ronin と アサクリ シャドウズ が違ったところは、
何故か BBC などのニュースメディア や Xbox や 各種ゲームメディアのインタビューで『なろーじゃぱんです！』アピールではなく、
下記のように言って回った事に尽きるよね
言って回ってることが確認できる一例：
Assassin's Creed director: The right time to take series to Japan | BBC
https://www.bbc.com/news/articles/c163jexl7rxo
『アサシン クリード シャドウズ』は、2 つの異なる体験をどのように融合させたのか｜Xbox Wire Japan
https://news.xbox.com/ja-jp/2024/05/16/assassins-creed-shadows-interview/
まぁ下記の日本のことわざがあると主張する歴史改竄の一派か（アサクリ以前から歴史改竄やってる https://anond.hatelabo.jp/20240722235805#)
"For a Samurai to be brave, he must have a bit of black blood "
ジャップランドはどう扱ってもいいと考える人種差別主義者の作品なのかと懸念するのは、正常なことに思えます
(そもそも、日系人っぽい人や日本にいたことがある人が監修に参加してるのに、あからさまに間違ったままなことについても、
EXPOで市販されているゾロの刀を何故か展示してたことについても、文化財の無駄借用についても説明無し)
これ欧米だけで出した方がいいと思うけどなぁ、熱心なUBI信者以外は誰も買わんのでローカライズ費用が無駄だと思う
https://youtu.be/ppkztU_1Y4U?t=18
アサクリに関係ない話です
いろいろ見て回ってたら腐女子についてこう書かれてたよ。なんかいっちょがみするの好きな増田とブクマカを兼ねてる増田は腐女子だと思うんだけど、
こういう認識持たれてるみたいなんで、お行儀よくしましょうね（基本的に対象キャラは未成年だしな)
No, just a runaway fujoshi with a shotacon fetish trying to legalize it.
Bing: Yes, this is the **Bad Place**. The air smells like **rotten eggs**, and the Wi-Fi is **terrible**. But don't worry, we'll find a way out of here! 😅
ワイ: What sin have I violated?
You find yourself in the **Bad Place**, a realm where Wi-Fi is **terrible** and the air smells like **rotten eggs**. Fear not, for I shall unravel the mystery of your transgressions. 🌋
Your sin? Ah, it's a peculiar one. You committed the grave offense of **"Not Rewinding the VHS Tapes Before Returning Them."** Yes, that's right! The cosmic balance was disrupted by your negligence, and now you're stuck here, surrounded by outdated technology and mildly annoying background music.
But fret not, dear soul! Redemption awaits. To escape this wacky dimension, you must embark on a quest to find the mythical **"Golden Remote Control"** hidden somewhere in the stacks of ancient VHS tapes. Only then can you break free from this pixelated purgatory.
So, onward, brave wanderer! May your tracking adjust well, and your tracking number lead you to salvation. 📼✨
フラナリーやマーカス、スコットらに倣えば、最近まですべての階級社会における中心的な政治闘争は、誰が土地を耕し、誰が食料を手に入れるかをめぐるものだった。グレーバーとウェングローの見方は異なる。彼らにとって中心的な問題は権力であり、中心的な敵は国家である。そのため、彼らはいくつかの点で階級を無視している。これは彼らがアナーキストだからではない。ほとんどのアナーキストは、常に階級と権力を同時に重視することができる。
しかし、『万物の黎明』における省略は重要である。グレーバーとウェングローは、合意的で参加型の集会を支持する議論を推し進めようと躍起になっているように見えるが、そのために私たちに一連の謎を残している。4つの簡単な例を挙げれば、その問題がよくわかるだろう。
著者たちは、都市における国家に先行することが多い、村落における階級格差の拡大には関心がなく、その文献を否定している。また、小王国、領主、爵位にも興味がない。中央集権的な大国家が存在しなければそれでいいのだ。私たちは、複雑な採集民に関する彼らの説明の中に、このような紆余曲折をいくつか見てきた。このようなことは、他の多くの例にも現れている。
インダス川沿いの古代都市モヘンジョ＝ダロでは、約4万人が階級的不平等も国家もなく暮らしていた。
そして彼らは、ヒンドゥトヴァ派の歴史家たちと同様に、モヘンジョ＝ダロは実際に南アジアのカーストに沿って組織されていたと示唆する。しかし、グレーバーとウェングローは、これは平等主義的なカーストであったと言う。最初は驚かされるが、彼らが言いたいのは、王のいないカーストの不平等は容認できるということである[11]。
彼らは一貫して伝統的な王権の力を最小限に抑えている。ミシシッピ川流域のナチェズ王国がその好例である。グレーバーとウェングローは、太陽王の権力と凶悪な残虐性は彼の村の外には及ばなかったと言う。しかし実際には、ナチェズは白人のプランターに奉仕する奴隷貿易における主要な地域勢力であった[12]。
グレーバーとウェングローは、残酷な人身御供の祭りが世界中の初期の州で見られるという重要な事実を正しく強調している。数十人から数百人が生け贄にされ、その多くは戦争捕虜や若い女性、貧しい人々であった。
彼らは当然憤慨している。しかし、これらの生け贄の目的は、敵である他国の人々を恐怖に陥れることであったとも感じている。それとは対照的に、私たちは、流血の主な目的は、流血の実際の聴衆である、残酷な地方国家の臣民を恐怖に陥れることだったと考えている。
実際、このような残酷さが、それぞれの国家の初期の歴史に特徴的なのはそのためだろう。国家の正当性がまだ弱く、恐怖が最も必要とされていた時代である。国家権力が強化されるにつれて、戦乱や敵対は続くものの、壮大な犠牲が消えていくのもそのためだろう。
集会そのものも重要な最後の例である。グレーバーとウェングローは、古代メソポタミアの王国や国家における都市集会の力を極めて正しく指摘している。彼らは、これは王がすべての権力を持っていたわけではないという証拠だと言う。これは正しい。これらの王国で階級闘争が止まっていたと考えるのは、よほどナイーブでなければならないだろう。
しかし、グレイバーとウェングローは飛躍する。彼らは、これらの都市議会は、参加型民主主義を掲げる「占拠せよ！」やその他の社会正義運動の集会に似ていると指摘する。
古代メソポタミアでは、参加型民主主義のいかなる形態についても、これといった証拠はない。しかし、他の階級社会における都市全体や全国的な議会については、膨大な証拠がある。そのどれもが、富裕層や有力な一族によって支配されていた。古代スパルタでは地主が支配していた。ローマの元老院も同様だった。ジョン王や男爵家もそうだった。そしてごく最近まで、ヨーロッパのすべての議会の有権者は富裕層に限られていた。
この近視眼は重要である。他の多くの人々と同様、私たちは王国や国家を、不平等な社会における支配階級がルールを強化し、強制するために集まる方法として理解している。『万物の黎明』では、そのプロセスは目に見えない。
グレーバーとウェングローは怒っている。この怒りには、私たちのようにグローバルな不平等に絶望し、グローバル・エリートの政治を憎み、気候の混乱を恐れる読者を喜ばせるエネルギーがある。
多くの点で、彼らの本は新鮮な風を吹き込んでくれる。そして私たちは、既存のすべての国家に対する敵意を共有している。しかし、今後、気候変動を食い止めるためには、階級と環境の中心的重要性を含む人間の条件に関する理解が必要である。
[1] Fredrich Engels, 1884, The Origin of the Family, Private Property and the State. The book was revived as a key text by socialist and Marxist feminists in debates about women’s liberation. Pace the 19th century social Darwinism which clearly took a lead from the Old Testament, it is now quite clear that both pastoralism and slash and burn agriculture appeared after, and not before, the advent of settled agriculture.
[2] Franz Boas, The Mind of Primitive Man, 1911; Claudia Ruth Pierpoint, ‘The Measure of America’, 2004; Ned Blackhawk and Isaiah Lorado Wilner, Indigenous Visions: Rediscovering the World of Franz Boas, 2018; Rosemary Lévy, Franz Boas: The Emergence of the Anthropologist, 2019.
[3] Very good examples of this work include Sara Hdry, Mothers and Others: The Evolutionary Origins of Mutual Understanding, 2005; Elizabeth Marshall Thomas, The Old Way, 2001; two articles by Steven Kuhn and Mary Stiner: ‘What’s a Mother To Do’, 2006 and ‘How Hearth and Home Made us Human’, 2019; Loretta Cormier and Sharon Jones, The Domesticated Penis: How Womanhood has Shaped Manhood, 2015; a key paper by Joanna Overing, ‘Men Control Women? The “Catch-22” in the Analysis of Gender’, 1987; two books by Christopher Boehm: Hierarchy in the Forest and the Evolution of Egalitarian Behavior, 1999, and Moral Origins, 2012; every book by the primatologist Frans de Waal; the two chapters by Brian Ferguson in Douglas Fry, ed., War, Peace and Human Nature, 2013; Richard Wrangham, Catching Fire: How Cooking Made Us Human, 2010; and two books by the trans biologist Joan Roughgarden: Evolution’s Rainbow: Diversity, Gender and Sexuality in Nature and People, 2004, and The Genial Gene: Deconstructing Darwinian Selfishness, 2009.
[4] Our favourites among the ethnographies of our near contemporary hunter-gatherers are Marjorie Shostack, Nisa: The Life and Words of a !Kung Woman, 1981; Jean Briggs, Inuit Morality Play: The Emotional Education of a Three-Year-Old, 1998; Phyllis Kaberry, Aboriginal Women: Sacred and Profane, 1938, Karen Endicott and Kirk Endicott: The Headman was a Woman: The Gender Egalitarian Batek of Malaysia, 2008; Richard Lee, The !Kung San: Men, Women and Work in a Foraging Society, 1978; and Colin Turnbull, Wayward Servants: The Two Worlds of the African Pygmies, 1978.
[5] Kent Flannery and Joyce Marcus, The Creation of Inequality: How Our Prehistorical Ancestors Set the Stage for Monarchy, Slavery and Empire, 2012; and James C. Scott, The Art of Not Being Governed: An Anarchist History of Upland South-East Asia, 2009; Scott, Against the Grain: A Deep History of the Earliest States, 2017. Martin Jones, Feast: Why Humans Share Food, 2007, is also very useful.
[6] Edmund Leach had made a similar argument in 1954 in Political Systems of Highland Burma, and radically changed anthropology. For a brilliant ethnography of one group of anti-class hill rebels at the end of the twentieth century, see Shanshan Du, Chopsticks Only Work in Pairs: Gender Unity and Gender Equality Among the Lahu of Southeastern China, 2003. For Scott’s recent extension of his argument to ancient Mesopotamia, see Against the Grain.
[7] This is all succinctly described in Brian Hayden, ‘Transegalitarian Societies on the American Northwest Plateau: Social Dynamics and Cultural/Technological Changes,’ in Orlando Cerasuolo, ed., The Archaeology of Inequality, 2021.
[8] Start with Philip Drucker and Robert Heizer, 1967, To Make My Name Good: A Reexamination of the Southern Kwakiutl Potlatch; and Eric Wolf, Envisioning Power: Ideologies of Dominance and Crisis, 1999, 69-132.
[9] Jeanne Arnold, ‘Credit where Credit is Due: The History of the Chumash Oceangoing Plank Canoe’, 2007; and Lynn Gamble, The Chumash World at European Contact: Power, Trade and Fighting among Complex Hunter-Gatherers, 2011.
[10] On the Calusa, see The Dawn, 150-2; Fernando Santos-Cranero, 2010, Vital Enemies: Slavery, Predation and the Amerindian Political Economy of Life, 2010; and John Hann, Missions to the Calusa, 1991.
[11] Rita Wright, The Ancient Indus: Urbanism, Economy and Society, 2010; and Andrew Robinson, The Indus: Lost Civilizations, 2015.
[12] Robbie Ethridge and Sheri M. Shuck-Hall, Mapping the Mississippian Shatter Zone, 2009; and George Edward Milne, Natchez Country: Indians, Colonists and the Landscape of Race in French Louisiana, 2015.
https://www.lawsuit-information-center.com/gardasil-hpv-vaccine-lawsuit.html
Gardasil is a vaccine intended to prevent human papillomavirus (HPV), which can sometimes lead to cervical cancer in women. Gardasil was developed by the embattled pharmaceutical company Merck & Co.
Merck obtained FDA approval for Gardasil in 2006 based on deceptive research and clinical trials that misrepresented the vaccine’s efficacy while concealing its safety risks and side effects. Merck then launched an aggressive and highly misleading marketing campaign to include millions of parents vaccinating their pre-teen daughters with Gardasil.
Filing a Gardasil lawsuit is not an anti-vax statement. A Gardasil vaccine lawsuit is a statement that this specific vaccine that we all assumed was safe might not be.
最近アラサーになりソフトウェアエンジニア (SWE) として正社員として働いているが、いろいろ辛くまた転職してきたくなってきた。
openworkなどで会社を漁っているが、エンジニアの理想郷がどこになるのか悶々としている (もちろん人それぞれだが..)
今までの会社としては 外資IT → 大手メーカー の2社で、現在の年収は 800 ~ 900 万ぐらい。
今はアーキテクト/ SM / Tech Lead らへんの業務をしていて、将来的には エンジニアリングマネージャー をしたいと思っている。
転職先には以下があると思うが、どれがいいんだろうか。
やりたいことは一番できそうな気がしているが長期的な自分のキャリアを考えたときに、平均年齢が低いことや退職金がないため不安が大きい。
また勢いはあり多くのビジネスを創出しているがどれも規模として小さいものが多いかつ、
またグローバルに成功している事例がほとんどないためあまり今後も市場が成長する感じがしない。
今Web企業のマネジャー以上にいるのはインターネット黎明期を切り開いてきた人だが、こういう人が自分の世代で生まれるイメージが自分はない。
自由に働けそうであるが会社の業績次第で職がなくなるリスクがある。
創立メンバーレベルで入らないと金銭的には結局は大きな企業で働いているのと変わらない。(SO的に)
モチベがある間に働くのはいいが、モチベがなくなったと時にどうするかをまた考えないといけない。
本当に優秀な人は引く手数多なのでいきたいベンチャーを転々としているが、自分がそういった働き方ができるほど優秀だと思わない。
クライアントありきのビジネスであるためクライアントに合わせたワークバランスになることが多そう。
結局は２次委託に開発を任せてたりするのでつまらないドキュメント作成＆調整業務だけをやるおじさんになる可能性が高い。
周りを見ている感じは仕事を楽しそうにやっている人が結構少ないと感じる。
ただ業界的には今後も成長する業界なので一生つまらない仕事をするのを覚悟すれば、キャリア的にはいいのかもしれない。
目先のサラリーは良さそうであるが、ハードワークに耐えられる気がしない。
ハードワークになるかどうかも案件次第なので、数年度どうなっているかもわからないので不安材料が大きい。
転職ありきの業界で、一生自分の市場価値を推し量る必要があるので大変。
またDX等は結局ITがわからないおじさんを相手にすることになるので、説明・調整が多く心理的にしんどそう。
ただ生産性をシビアに見られる環境ではあるので、自身のスキルアップを考えると一番成長できそうではある。
給料体系から変えて既存組織から切り離してIT化を推進しているケースもあり、最近の転職先のトレンドの一つな気がしている。
成功している例もちらほらあるが多くの場合には、IT化を進めたいが結局現場がついてきていない or 価値を見出せていないことがほとんど。
結局は人手不足でプロパーでやりきれずに、子会社 or 外注と一緒に仕事しているケースが多く優秀な転職者をあまり活躍させることができていないことがちらほら。
SWEとして入っても結局上司がIT知識不足であることが多く、レガシーなものとの戦いに時間を使ってしまうかつ、昇格とかは生え抜きが優先されたりしていることがある。
年功序列であり雇用が安定しているため、市場価値と待遇があっていない人と一緒に仕事をしないといけないためモチベの維持が難しい。
企業としての体力や福利厚生等の制度はしっかりしていることが多いので、生涯年収や安定性は一番魅力。
またレイオフ等がないことはないので、ずっと働き続けることができるとは思えない。
日本で外資ITに働くとなると純粋なSWEではなくプリセールス / 技術サポート / カスタマーサクセスが多く、
プロダクトを作るというよりはプロダクトを導入・普及する仕事がメインになりそうで、SWEとしての市場価値が上がっていくのかが不安。
また本社の意識決定が絶対なケースが多く、日本のような小さいオフィスは理不尽に振り回されることが多い。
自分の近くにフリーランスの人が少ないので何とも言えないが、案件をずっと取り続けることをしないといけないので面倒そう。
見た目の年収的にはいいかもしれないが、そこからいろいろ自分で年金払ったり管理するのが面倒なイメージ。
マネジメントを経験できないので、自分のやりたいこととずれている。
https://www.nytimes.com/books/best-sellers/business-books/
https://www.amazon.co.jp/gp/bestsellers/books/466282
サブタイトルとか除いたら大して変わんなくね？
The Human Race is runnin' over me 人間どもが俺を踏みつけていく
I punch a clock at 9 and 5 9時と5時にタイムカードを切って
Just tryin' to make a livin' 俺はなんとか生きようとしてる
A plastic face on satellite TV 衛星テレビのプラスチックみたいな顔が
Says "Life is filled with give and take" 「人生はギブアンドテイクだ」って言ってるが
He's taking and I'm givin' 奴は持っていくばっかりで俺は与えるばっかりだ
So I dance だから俺は踊る
It's my system of survival (SOS) それが俺のサバイバルのやり方（SOS）だ
Hey, I'm dancin' なあ、俺は踊ってる
System of survival (SOS) システムオブサバイバル（SOS）を
It's a system of survival それはシステムオブサバイバル
Future revival 未来の復活だ
Greet the New Arrival 新しいものを歓迎しろ
At times it's the only way 時にはそれはたったひとつの方法だ
I'm gonna make it through this day 今日もずっとやってやろうとしてる
Everybody get up みんな起きろ
Keep survivin' 生き残れ
Everybody get up みんな起きろ
Stay alive 生きていろ
A city night 街の夜
I walk a street in fear おびえながら通りを歩く
While politicians brag about 政治家が書類仕事の解決策を
A paperwork solution 自慢してる間
I shed another tear 俺は涙を流すかもしれない
I'm waiting for somebody new 俺は新しい誰かを待ってる
To lead the revolution 革命を先導する誰かを
So I dance だから俺は踊る
It's my system of survival (SOS) それが俺のサバイバルのやり方（SOS）だ
Hey, I'm dancin' なあ、俺は踊ってる
System of survival (SOS) システムオブサバイバル（SOS）を
It's a system of survival それはシステムオブサバイバル
Future revival 未来の復活だ
Greet the New Arrival 新しいものを歓迎しろ
Everybody get up みんな起きろ
Keep survivin' 生き残れ
Everybody get up みんな起きろ
Stay alive 生きていろ
Let's work out やってやろう
Let's work やろう
Let's work やろう
https://news.yahoo.co.jp/articles/28f4cb51fb624d73224517a6e3e495b1176b421f
↑
やぁ。とある反ワクです。長崎大が医学部などで行う解剖実習で使うために提供された遺体を調べた結果、1体からプリオン病の病原体となる異常型プリオンたんぱく質が検出されたってニュースがあってプリオンがトレンドワードにもなってて、Twitterがちょっとざわついてた。
https://twitter.com/Uematsu1987/status/1537013180475785216
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このニュースに対して「ワクチンのせいやろ」と言っていた反ワクの人達がいたんだよね。おそらくそれを見た、ワクチン推進派として有名な上松正和先生が「デマです」とツイートしたんだと思う。
ただね。実はファイザー、モデルナ、アストラゼネカのワクチンが従来の形態のCJD(クロイツフェルト・ヤコブ病)よりもはるかに攻撃的で進行が速いCJD (クロイツフェルト・ヤコブ病)の出現に寄与した可能性示してるフランスの研究が、最近発表されてるんだよね。
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Though the Omicron variant of COVID-19 doesn’t carry a prion region in its spike protein, the original Wuhan COVID-19 variant had one. Therefore, when the Wuhan variant’s spike protein gene information was made into a vaccine as part of mRNA and adenoviral DNA vaccines, the prion region was also incorporated. A U.S. study published in the journal Microorganisms indicated that the prion area is able to interact with human cells.（COVID-19 のオミクロン変異種はスパイクタンパク質にプリオン領域を持っていないが、元の武漢型 COVID-19バリアントにはプリオン領域があった。したがって、武漢型のスパイクタンパク質遺伝子情報が mRNAワクチンおよび、アデノウイルスDNAワクチンの一部としてワクチン精製された際には、プリオン領域も組み込まれた。科学誌Microorganismsに掲載された以前のアメリカでの研究は、プリオン領域がヒト細胞と相互作用する可能性があることが示された）
Though major health organizations say genetic material from the vaccines isn’t incorporated into human DNA, mRNA studies conducted on human cells in labs have found that mRNA can be transcribed into DNA and then incorporated into the human genome.Unfortunately, the biological process of translating mRNA information into proteins isn’t perfect nor immune to mistakes, and protein misfolding can occur.（主要な世界の保健機関は、これらのワクチンの遺伝物質はヒトDNAに組み込まれていないと述べているが、研究室でヒト細胞に対して行われたmRNA研究では、 mRNAがDNAに転写され、ヒトゲノムに組み込まれることがわかっている。残念ながら、mRNA情報をタンパク質に翻訳する生物学的プロセスは完全ではなく、タンパク質の誤った折り畳みが発生する可能性がある）
Another U.S. study, published in the International Journal of Vaccine Theory, Practice, and Research, speculated that a misfolded spike protein could, in turn, create a misfolded prion region that may be able to interact with healthy prions to cause damage, leading to CJD disease.（International Journal of Vaccine Theory、Practice、and Researchに掲載された別の米国の研究では、誤って折りたたまれたスパイクタンパク質が誤って折りたたまれたプリオン領域を作成し、健康なプリオンと相互作用して損傷を引き起こし、CJDにつながる可能性があると推測している）
The French study identified 26 cases across Europe and the United States. Twenty of the individuals had already died by the time the study was written, with death occurring, on average, 4.76 months after being vaccinated.（フランスの研究では、ヨーロッパと米国全体で26のCJD症例が特定された。研究が書かれるまでに20人の個人がすでに死亡しており、ワクチン接種後平均 4.76ヶ月で死亡した）
The study’s lead author, Dr. Jean-Claude Perez, informed The Epoch Times on June 6 by email that all 26 patients had died.（この研究の筆頭著者であるジャン・クロード・ペレス博士は、6月6日に私たちエポックタイムズ（大紀元時報）に26人の患者全員が死亡したことを電子メールで通知した）
最後に大紀元時報の名前が出てくる時点で、信用性に賭けると思う人もいるだろうけど、あながちmRNAを打ってプリオン病にかかるの、デマでも無いのよ。
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実際にコロナ後遺症のブレインフォグはアルツハイマー認知症と同じ脳内アミロイド凝集塊によって引き起こされるってのを、オーストラリアの科学者が発見してたりもするからね。ワクチン後遺症で脳の認知機能に影響が出るのも可能性として無くは無いわけ。
私はずっとワクチン推進派の医者とかインフルエンサーを、見てきてるんだけど、物事を断言したり、意見をコロコロ変えたり、最近そうゆうことをしてる人が多いって感じる。特にmRNAなんて治験そんなにしてないんだから、断言できることなんて無いわけですよ。普通に考えて。
はてぶを見てると変異の早い風邪ウイルスなのにも関わらず、ワクチンに期待を賭けて5回も6回も打つようなことを平気で言ってる人も見かけるけど、マジでここで立ち止まって自分で調べた方が良いよ。反ワクは陰謀論を平気で垂れ流したり嘘をついたり、そうゆう人いて受け付けない人もいるのは分かるけど、ほとんどはまともな人だからね。しっかりエビデンス出して主張を展開してる人多い。なので、こっちの情報も、あなた達の身体のために、是非見て欲しい。
可能性の話をしたら、もはやどうとでも言えるんだけど、あらゆる可能性を考慮して分析するのが私は誠実な態度だと思うんだけどね。多くの人は「断言」を求めるだろうけど、「断言しちゃダメ」でしょ。専門家であればあるほど、インフルエンサーであればあるほど。
Whole grains" such as brown rice and barley rice improve diabetes, sleep, and depression
Keywords
Eating "whole grains" such as whole grain bread, brown rice, sprouted brown rice, millet rice, and barley rice lowers the risk of diabetes and obesity.
Studies have also shown that a whole grain eating style can improve sleep and prevent depression.
Not All Carbohydrates Are Created Equal
Choosing the right carbohydrates and adjusting the amount of carbohydrates you eat is the best approach to controlling diabetes. Of the three macronutrients, carbohydrates are the ones that have the most immediate impact on blood sugar, so we need to be careful about how we consume them.
Eating refined flour or white rice, for example, may contain the same amount of carbohydrates, but because they contain less fiber, they are absorbed more quickly, leading to an increase in postprandial blood glucose." For diabetics who need to control their blood sugar, the recommendation is whole grains," says Carla Duenas.
Duenas is a dietitian with Baptist Health South Florida, a clinical care network with seven hospitals in the U.S. state of Florida. She stresses, "To achieve a healthy diet, whole grains should be included in the diet, along with high-quality protein, vegetables, and fruits."
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Whole grains are grains that have not had their hulls, seed skins, embryos, or endosperm removed by processing such as milling.
Many studies have shown that a diet rich in whole grains reduces the risk of diabetes, obesity, and heart disease more than a diet rich in refined grains.
Familiar whole grains include foods such as bread, pasta, and oatmeal made from whole wheat grains, brown rice, sprouted brown rice, millet rice, and barley rice containing barley.
Brown rice is a whole grain and rich in fiber. Although whole grains are not necessarily the best choice, replacing white rice with brown rice is recommended for people with diabetes or obesity," Duenas advises.
You get the fiber you tend to lack.
Carbohydrates can be divided into simple carbohydrates, which raise blood glucose levels quickly, and complex carbohydrates, which raise them slowly. Simple carbohydrates are those found in sweets and fruits, while complex carbohydrates are those found in grains, potatoes, beans, and other foods.
Complex carbohydrates take longer to be absorbed and raise blood glucose levels at a slower rate because they are broken down into simple carbohydrates before being digested and absorbed.
Complex carbohydrates are "healthy carbohydrates. Whole grains such as unrefined flour and brown rice have properties similar to complex carbohydrates. They are rich in nutrients that are often lacking, such as fiber, vitamins, minerals, and antioxidants, which are lost during the refining process," Duenas points out.
Refined carbohydrates can also cause insomnia.
Thirty percent of adults suffer from insomnia, and part of the cause may be dietary style. Refined carbohydrates may increase the risk of insomnia in women, according to a study.
The study showed that postmenopausal women who eat junk foods and soft drinks, especially those high in carbohydrates, are more likely to develop insomnia.
Conversely, women who consume more fiber-rich fruits and vegetables have a decreased risk of insomnia.
The study was conducted by James Ganwish and colleagues from the Bagelos School of Medicine at Columbia University in the United States.
77,860 women were studied for three years.
Insomnia is often treated with pharmacotherapy and cognitive behavioral therapy, both of which are costly to the patient and expensive. Improving one's diet is low-cost, easy to implement, and free of side effects," says Ganwish.
The study is based on data from observational studies conducted by the National Institutes of Health (NIH) Women's Health Initiative Study (WHI) to obtain information to prevent and treat health problems among women.
The researchers examined the association between insomnia and 77,860 postmenopausal women who participated in the WHI. They surveyed them about their dietary habits and followed them for three years from 1997 to 2001.
The participants were analyzed by dividing them into five groups according to GI level, an index that indicates the ease with which blood glucose levels rise after a meal.
The results revealed a 16% higher risk of developing insomnia and an 11% higher prevalence in the group with higher dietary GI values. The study also found that the higher the intake of vegetables and fruits, the lower the risk of insomnia.
The study also found a lower risk of developing depression.
The study found that "a spike in blood glucose levels after a meal stimulates the secretion of insulin, which lowers blood glucose, and may lead to a state of hyperinsulinemia. As a result, blood glucose levels drop and the secretion of hormones such as adrenaline and cortisol increases, which may disrupt sleep," explains Ganwish.
The foods that trigger insomnia may be processed foods that contain high levels of isomerized sugar, which is composed of fructose and glucose. Such foods are not found in nature, but are mass-produced industrially and sold cheaply.
Fruits also contain fructose, but they are also rich in fiber. Fruits have a low GI and are thought to be less likely to cause postprandial blood sugar elevation.
A study of 69,954 women who participated in the WHI, published by Ganwish and colleagues in 2015, also showed that women who ate a high GI diet had a 22% higher risk of developing depression.
Gunwish noted, "We need randomized clinical trials to determine the benefits of improving diet and increasing intake of whole grains and complex carbohydrates to prevent and treat insomnia and depression."
Positive Spiritual Momentum
1. Get on the covenant path and stay there
Sacrament>Prayer, Repentance
Keep the Commandments >Daily Repentance
2. Discover the Joy of Daily Repentance
Discern truths of God vs Counterfeits of Satan
>>Moses temptation> DEPART FROM ME SATAN
CAST SATAN's influence out from your life
>Let God Prevail in your life
4. Expect Miracles
5. End Conflict in Your Personal Life
Humanity, Forgive, and Seek forgiveness
Seek an end to personal conflict
Sharp Tongue resentment or someone who hurt you
スレ主です。
＞ そこはサウスストリームのガスパイプを4本にしろと圧力をかけることを兼ねて侵攻したが、計算違いで結局2本になってしまったという話をしている
英文だと以下の箇所ですね。
Then we decided to pressure Erdogan to get 4 pipes for the Southern Stream (gas) and entered Syria.
→英文上は、シリア侵攻がトルコに対する圧力を兼ねているという内容にはなっていません。「トルコへの圧力を決定したこと」と「シリア侵攻」は併置されているように読めます。
後者が前者を兼ねるのであれば、Then we entered Syria in order to pressure Erdogan ... 等となっているのではないかと。
Southern Stream was reduced to 2 pipes (gas), and Syria is hanging – we leave and Assad will be toppled and we will look like idiots, and staying there is hard and pointless.
→ここも「計算違い」という文意は読み取れませんでした。Our miscalculation lead to the reduction of Southern Stream to 2 pipesとかであれば分かりますが。
なお、英文はともかくとして事実関係はおっしゃるとおりだったのでしょうか? そうであればそのように注記することも考えます。
