Search Results (3,992)

Greenflation or inflation for green energy transition in Europe becomes a structural problem of new scarcity and poverty, under Austrian Economics analysis. The current European public agenda on the Green Deal and its fiscal and monetary policies are closer to coercive central planning, against the markets, economic calculus, and Mises’ theorem. In this paper, attention is paid to the green financial bubble and the European greenflation paradox: in order to achieve greater future social welfare, due to a looming climate risk, present wellbeing and wealth is being reduced, causing a real and ongoing risk of social impoverishment (to promote the SGD 13 on climate action, it is violated by SGD 1–3 on poverty and hunger and 7–12 on affordable energy, economic growth, sustainable communities, and production). According to the European Union data, the relations are explained between green transition and public policies (emissions, tax, debt, credit boom, etc.), GDP variations (real–nominal), and the increase of inflation and poverty. As many emissions are reduced, there is a decrease of GDP (once deflated) and GDP per capita, evidencing social deflation, which in turn means more widespread poverty and a reduction of the middle-class. Also, there is a risk of a green-bubble, as in the Great Recession of 2008 (but this time supported by the European Union) and possible stagflation (close to the 1970s). To analyze this problem generated by mainstream economics (econometric and normative interventionism), this research offers theoretical and methodological frameworks of mainline economics (positive explanations based on principles and empirical illustrations for complex social phenomena), especially the Austrian Economics and the New-Institutional Schools (Law and Economics, Public Choice, and Comparative Constitutional Economics). Full article

The aim of this study is to explore civic literacy as an approach to counter disinformation in democracies. From group interviews, we elicit, categorize, and analyze diverse perspectives on disinformation in Sweden, previously upheld as a country with high civic literacy levels. We focus on people’s understandings of disinformation, their assessment of their own abilities to discern disinformation, and their ideas about how increased resilience to disinformation could be achieved. Our findings, based on input from 73 interviewees across Sweden, suggest that shared basic knowledge on disinformation is lacking. Moreover, there is a related weak understanding of what constitutes authentic information. Those with low awareness operate on a logic of beliefs, implying that measures to improve factuality and objectivity could not even be aspired for. Still, there are also constituents showing advanced understandings. The majority of respondents call for new measures to strengthen citizen knowledge and skills and generate many proposals to that end. Our results indicate that citizen competence needs to increase considerably to keep up with the rapidly evolving disinformation environment. A concerted drive to boost citizen knowledge and skills, tailored to different constituencies, is needed for the democratic system to work as intended. Full article

This article discusses the relationship between Ludwig Wittgenstein’s and Rudolf Carnap’s philosophies of logic during the time of Wittgenstein’s interactions with the Vienna Circle and up to 1934 when the German edition of Carnap’s The Logical Syntax of Language was published. Whilst Section 1 focuses on the relationship between Carnap and Wittgenstein’s Tractatus, including Wittgenstein’s accusation of plagiarism against Carnap in 1932, Section 2 discusses the relationship between Carnap’s principle of tolerance and Wittgenstein’s similar principle of the arbitrariness of grammar. I argue that, although Carnap’s claim in Logical Syntax to ‘go beyond’ Wittgenstein has certain justification in relation to the Tractatus, so does Wittgenstein’s priority claim. The relationship between Carnap’s philosophy of logic and the Tractatus is thus more complicated than is often recognized. If the reference point is Wittgenstein in the early 1930s, however, Carnap cannot be described as going beyond him, and by 1934, Wittgenstein had advanced further than Carnap would ever venture. Despite evidence that Carnap knew about Wittgenstein’s principle of the arbitrariness of syntax well before his first articulations of his principle of tolerance, the extent of the influence of Wittgenstein’s principle on Carnap remains unclear. What can be established with certainty is that Wittgenstein’s principle predates Carnap’s and that Carnap resisted acknowledging him despite being urged to do so. Arguably, Wittgenstein’s account of syntax as both arbitrary and non-arbitrary is also superior in clarity to Carnap’s misleading claim about a ‘complete freedom’ implied by the principle of tolerance, because such a freedom only exists for idle syntactical systems that are not put to work. In Section 3, I discuss the relationship between Carnap’s notion of expediency and Wittgenstein’s account of the correctness or truth of logical accounts. As my discussion of Wittgenstein’s account brings out, Carnap’s rejection of truth in logic for expediency as the goal of logical clarifications does not follow from the principle of tolerance and is not justified by it. It remains unclear what justifies Carnap’s rejection of truth as the goal of logical clarification. Again, Wittgenstein’s account seems preferable, given the vacuity of the claim that expediency constitutes the basis of choice between different logical languages and clarifications. Full article

In universities, perceived unfairness is associated with negative outcomes, such as dissatisfaction, lower engagement, higher drop-out and stress, and poorer mental health. It is, however, still unclear which aspects constitute perceived unfairness in students. Therefore, this qualitative study explored students’ perceptions of unfairness with twenty semi-structured interviews. The interviews were audiotaped, transcribed verbatim, and analyzed following Mayring’s qualitative content analysis. A set of main codes and subcodes was developed and refined. The identified sources of unfairness can be summarized as organizational aspects, such as the registration and administration processes, the treatment of students, including the behavioural patterns of lecturers and university staff, and the individual situation of students. This study identified different sources of perceived unfairness in the university setting, potentially related to less engagement, higher drop-out rates, and worse mental health of the students. To keep students engaged and healthy, it seems beneficial to address the sources of unfairness. Full article

In Italy, there are hundreds of research, monitoring, and surveillance activities targeting emerging and re-emerging pathogens. These activities heavily rely on hunters for sample collection and early identification of morbidity/mortality events. The objective of this review is to describe and quantify the contribution of hunters in the context of disease research, monitoring, and surveillance in wild populations. A literature review and descriptive summary statistics were performed following PRISMA-2020 guidelines; articles were obtained from major scientific databases, abstracts from national and international conferences, proceedings, graduate-level theses from online library repositories, and direct contact with academic experts. The contribution of hunters in terms of sample collection for health-related activities on wildlife amounts to 400,000 sampled animals. Wild boars were involved in 158 surveillance systems/research studies, followed by red deer (71), foxes (63), and roe deer (59). The pathogens under surveillance were mainly zoonotic (Salmonella spp.), emerging (Hepatitis E virus), and/or vector-borne (West Nile virus). The temporal distribution of scientific papers followed a positive trend that reflects the growing interest in wildlife from different sectors. These results highlight how wildlife health-related efforts are a paradigm of the concept of One Health, in which the role of hunters is crucial to ensure sample availability, and it constitutes the base of much current wildlife health research, monitoring, and surveillance. Full article

This paper shows the usage of a numerical analysis model that enables the calculation of the life of railway wheels used for low-floor freight wagons as a function of its primary operating factors, which allows for carrying out sensitivity analyses. Low-floor wagons are being increasingly used for combined transport applications, and many types of bogies have been proposed to constitute the wagons. Due to the uniqueness of this type of wagon, the bogie configurations in terms of wheelbase and axle load have hardly been analyzed so far. The numerical analysis model used addresses the primary challenges that arise in the vehicle–track interaction and establishes the relations among them. The main aspects of this model have been described in this paper, which has been later used to calculate the life of an ordinary-diameter wheel for several wheelbase and axle load values. This study has been replicated with reduced-diameter wheels, which are commonly used for low-floor wagons. In this way, it is possible to know the evolution of the life depending on the wheelbase and the axle load. The observed behaviors are not so dissimilar for the different types of wheels, and they point out huge increases in wear as the axle load and the wheelbase rise, especially with axle load. The root causes can be explained by the entire understanding of the rolling phenomenon provided by the full analytical work. Full article

Urban space constitutes a complex system, the quality of which directly impacts the quality of life for residents. In high-density cities, factors such as the green coverage in street spaces, color richness, and accessibility of services are crucial elements affecting daily life. Moreover, the application of advanced technologies, such as deep learning combined with street view image analysis, has certain limitations, especially in the context of high-density urban streets. This study focuses on the street space quality within the urban fabric of the Macau Peninsula, exploring the characteristics of the street space quality within the context of high-density urban environments. By leveraging street view imagery and multi-source urban data, this research employs principal component analysis (PCA) and deep-learning techniques to conduct a comprehensive analysis and evaluation of the key indicators of street space quality. Utilizing semantic segmentation and ArcGIS technology, the study quantifies 16 street space quality indicators. The findings reveal significant variations in service-related indicators such as the DLS, ALS, DCE, and MFD, reflecting the uneven distribution of service facilities. The green coverage index and color richness index, along with other service-related indicators, are notably influenced by tourism and commercial activities. Correlation analysis indicates the presence of land-use conflicts between green spaces and service facilities in high-density urban settings. Principal component analysis uncovers the diversity and complexity of the indicators, with cluster analysis categorizing them into four distinct groups, representing different combinations of spatial quality characteristics. This study innovatively provides a quantitative assessment of street space quality, emphasizing the importance of considering multiple key factors to achieve coordinated urban development and enhance spatial quality. The results offer new perspectives and methodologies for the study of street space quality in high-density urban environments. Full article

In the context of ecological civilization construction, resource-based cities (RBCs) are tasked with the dual responsibility of national energy supply and transformation amidst complex social contradictions. These cities face the resource curse dilemma, characterized by resource depletion, conflicts in spatial production, in living, and in ecological spaces, and intertwined ecological–economic–social issues. Enhancing their ecological resilience is a crucial indicator of successful transformation strategies. This study focuses on Jinzhong City in Shanxi Province, employing Morphological Spatial Pattern Analysis (MSPA) to assist in the spatial analysis of urban ecological resilience. Additionally, Conefor Sensinode is utilized to identify key ecological sources that significantly contribute to urban resilience. A novel Risk-Connectivity-Potential (RCP) model is developed to construct a framework of indicators affecting the resilience of RBCs, which is used to assess the ecological resilience of Jinzhong City, particularly in relation to the spatial distribution of mining areas. The results indicate the following: (1) important ecological source areas within the city constitute approximately 39.47% of the total city area, predominantly located in woodland regions; (2) the overall assessment of ecological resilience reveals a heterogeneous pattern, increasing from west to east, with lower resilience observed in low-lying terrains and higher resilience in mountainous plateaus; (3) mines within significant ecological source areas are primarily situated in low-resilience zones near built land and agriculture land, while other mining areas are mainly found between high-resilience zones, posing risks of increased ecological resistance, reduced ecological connectivity, and potential ecological issues. This study explores the application of the ecological resilience framework in RBCs, providing a scientific basis and reference for the rational utilization of resources and urban transformation and development.The methodology and findings can be applied to similar cities globally, offering valuable insights for balancing resource management and ecological protection in the context of sustainable urban development. Full article

Fermented foods can provide many benefits to our health. These foods are created by the action of microorganisms and help support our digestive health and immune system. Fermented foods include yogurt, kimchi, pickles, kefir, beer, wine, and more. Fermented foods contain probiotics, lactic acid bacteria (LAB), yeast, organic acids, ethanol, or antimicrobial compounds, which help balance the gut microbiome and improve digestive health. Fermented foods can also benefit your overall health by increasing the diversity of your gut microbiome and reducing inflammation. By routinely consuming fermented foods with these benefits, we can continue to improve our health. Probiotics from fermented foods are beneficial strains of bacteria that are safe for human health and constitute an important component of human health, even for children and the elderly. Probiotics can have a positive impact on your health, especially by helping to balance your gut microbiome and improve digestive health. Probiotics can also boost your immune system and reduce inflammation, which can benefit your overall health. Probiotics, which can be consumed in the diet or in supplement form, are found in many different types of foods and beverages. Research is continuing to investigate the health effects of probiotics and how they can be utilized. The potential mechanisms of probiotics include anti-cancer activity, preventing and treating immune system-related diseases, and slowing the development of Alzheimer’s disease and Huntington’s disease. This is due to the gut–brain axis of probiotics, which provides a range of health benefits beyond the digestive and gastrointestinal systems. Probiotics reduce tumor necrosis factor-α and interleukins through the nuclear factor-kappa B and mitogen-activated protein kinase pathways. They have been shown to protect against colon cancer and colitis by interfering with the adhesion of harmful bacteria in the gut. This article is based on clinical and review studies identified in the electronic databases PubMed, Web of Science, Embase, and Google Scholar, and a systematic review of clinical studies was performed. Full article

Despite impressive progress, obtaining appropriate data for instance-level lane segmentation remains a significant challenge. This limitation hinders the refinement of granular lane-related applications such as lane line crossing surveillance, pavement maintenance, and management. To address this gap, we introduce a benchmark for lane instance segmentation called InstLane. To the best of our knowledge, InstLane constitutes the first publicly accessible instance-level segmentation standard for lane line detection. The complexity of InstLane emanates from the fact that the original data are procured using cameras mounted laterally, as opposed to traditional front-mounted sensors. InstLane encapsulates a range of challenging scenarios, enhancing the generalization and robustness of the lane line instance segmentation algorithms. In addition, we propose GeoLaneNet, a real-time, geometry-aware lane instance segmentation network. Within GeoLaneNet, we design a finer localization of lane proto-instances based on geometric features to counteract the prevalent omission or multiple detections in dense lane scenarios resulting from non-maximum suppression (NMS). Furthermore, we present a scheme that employs a larger receptive field to achieve profound perceptual lane structural learning, thereby improving detection accuracy. We introduce an architecture based on partial feature transformation to expedite the detection process. Comprehensive experiments on InstLane demonstrate that GeoLaneNet can achieve up to twice the speed of current State-Of-The-Artmethods, reaching 139 FPS on an RTX3090 and a mask AP of 73.55%, with a permissible trade-off in AP, while maintaining comparable accuracy. These results underscore the effectiveness, robustness, and efficiency of GeoLaneNet in autonomous driving. Full article

Spontaneous convexity subarachnoid hemorrhage (cSAH) is a vascular disease different from aneurysmal SAH in neuroimaging pattern, causes, and prognosis. Several causes might be considered in individual patients, with a limited value of the patient’s age for discriminating among these causes. Cerebral amyloid angiopathy (CAA) is the most prevalent cause in people > 60 years, but reversible cerebral vasoconstriction syndrome (RCVS) has to be considered in young people. CAA gained attention in the last years, but the most known manifestation of cSAH in this context is constituted by transient focal neurological episodes (TFNEs). CAA might have an inflammatory side (CAA-related inflammation), whose diagnosis is relevant due to the efficacy of immunosuppression in resolving essudation. Other causes are hemodynamic stenosis or occlusion in extracranial and intracranial arteries, infective endocarditis (with or without intracranial infectious aneurysms), primary central nervous system angiitis, cerebral venous thrombosis, and rarer diseases. The diagnostic work-up is fundamental for an etiological diagnosis and includes neuroimaging techniques, nuclear medicine techniques, and lumbar puncture. The correct diagnosis is the first step for choosing the most effective and appropriate treatment. Full article

Lung cancer remains the leading cause of cancer-related mortality worldwide, with non-small cell lung cancer (NSCLC) constituting 85% of cases. Among NSCLCs, squamous cell carcinoma (SqCC) is strongly associated with smoking. However, lung cancer in never smokers (LCINS) represents approximately 25% of lung cancer cases globally and shows increasing incidence, particularly in East Asia. LCINS-SqCC is less well-characterized, especially regarding its genomic alterations and their impact on clinical outcomes. We conducted a retrospective analysis over a 20-year period (July 2003–July 2023) at two major tertiary centers in the UK. The cohort included 59 patients with LCINS-SqCC who underwent radical surgical resection. Data collected included demographic information, comorbidities, histopathological details, and outcome metrics such as disease-free and overall survival. Molecular sequencing of tumor specimens was performed to identify genomic aberrations. The cohort had a median age of 71 years (IQR 62–77) and a median BMI of 25.4 (IQR 22.8–27.8), with a slight male predominance (53%). The majority of patients (93%) had a preoperative MRC of 1–2. Recurrent disease was observed in 23 patients (39%), and 32 patients (54%) had died at a median follow-up of 3 years. Median disease-free survival was 545 days (IQR 132–1496), and overall survival was 888 days (IQR 443–2071). Preoperative creatinine levels were higher in patients who experienced recurrence (p = 0.037). Molecular analysis identified biallelic SMARCB1 loss in two younger patients, associated with rapid disease progression despite R0 resection. These patients’ tumors were PDL1-negative, TTF-1-negative, and positive for cytokeratin, CD56, and p40. SMARCB1-deficient SqCC in never smokers represents a highly aggressive variant with poor disease-free survival, highlighting the importance of integrating advanced molecular diagnostics in clinical practice. This study underscores the necessity for personalized treatment strategies, including targeted therapies such as EZH2 inhibitors and immune checkpoint blockade, to address the unique molecular pathways in SMARCB1-deficient cancers. Further clinical trials are essential to optimize therapeutic approaches for this challenging subgroup of lung cancer. Full article

The Sustainable Development Goals (SDGs) have set the agenda for 2030, calling for collective global efforts to deal with climate change while seeking a balance between economic development and environmental protection. Although many countries are exploring emission reduction paths, mainly from government and corporate perspectives, addressing climate change is also an individual responsibility and requires public participation in collective action. The millennial generation constitutes the current workforce and will be the leaders in climate action for the next 30 years. Therefore, our study focuses on the Chinese millennial generation, conducting in-depth semi-structured interviews with 50 participants in qualitative research to explore their low-carbon lifestyles, the barriers, and enablers in switching to a wider range of low-carbon lifestyles. There are three main results: (1) Based on our study samples, there is an indication that Chinese millennials have a positive attitude towards transitioning to a low-carbon lifestyle. Women demonstrate a stronger willingness to adopt low-carbon behaviors in their daily household activities compared to men. However, their involvement in governance in the context of transitioning to a low-carbon society is limited, with most women assuming execution roles in climate action rather than decision-making positions. (2) Millennial’s low-carbon life transition is accompanied by technological innovation and progress. However, this progress brings some new forms of resource waste, and reasonable policy-making is essential. (3) Personal economic interests and the satisfaction of their consumption needs will drive millennials to reduce carbon emissions in their daily lives, but it requires the guidance of reasonable policy-making and synergies among various stakeholders. This research will help policymakers better understand the current status and potential issues related to people’s low-carbon actions, enabling the formulation of more rational guiding policies. It can also help other stakeholders learn about millennials’ demands and take more effective collective action toward carbon reduction. Full article

Traumatic brain injuries (TBIs) constitute a significant public health issue and a major source of disability and death in the United States and worldwide. TBIs are strongly associated with high morbidity and mortality rates, resulting in a host of negative health outcomes and long-term complications and placing a heavy financial burden on healthcare systems. One promising avenue for the prevention and treatment of brain injuries is the design of TBI-specific supplementation and dietary protocols centred around nutraceuticals and biochemical compounds whose mechanisms of action have been shown to interfere with, and potentially alleviate, some of the neurophysiological processes triggered by TBI. For example, evidence suggests that creatine monohydrate and omega-3 fatty acids (DHA and EPA) help decrease inflammation, reduce neural damage and maintain adequate energy supply to the brain following injury. Similarly, melatonin supplementation may improve some of the sleep disturbances often experienced post-TBI. The scope of this narrative review is to summarise the available literature on the neuroprotective effects of selected nutrients in the context of TBI-related outcomes and provide an evidence-based overview of supplementation and dietary protocols that may be considered in individuals affected by—or at high risk for—concussion and more severe head traumas. Prophylactic and/or therapeutic compounds under investigation include creatine monohydrate, omega-3 fatty acids, BCAAs, riboflavin, choline, magnesium, berry anthocyanins, Boswellia serrata, enzogenol, N-Acetylcysteine and melatonin. Results from this analysis are also placed in the context of assessing and addressing important health-related and physiological parameters in the peri-impact period such as premorbid nutrient and metabolic health status, blood glucose regulation and thermoregulation following injury, caffeine consumption and sleep behaviours. As clinical evidence in this research field is rapidly emerging, a comprehensive approach including appropriate nutritional interventions has the potential to mitigate some of the physical, neurological, and emotional damage inflicted by TBIs, promote timely and effective recovery, and inform policymakers in the development of prevention strategies. Full article

A novel modeling solution (MS) was created that can provide realistically accurate results on the natural frequencies of a railway subgrade layer in the context of a railway infrastructure numerical simulation. This MS was specifically developed for implementation in a multibody simulation (MBS) model, which constitutes a step forward in relation to the state-of-art of this specific topic. The main obstacle was to find a criterion to define the geometry and dimensions of the subgrade elements inside the numerical model, so that the resulting resonance frequencies would be realistically accurate and representative. The proposed MS combines four theoretical models to create a set of equations that enables a deterministic relationship between the height and the diameter of a cylindrically shaped subgrade layer element to be implemented in the MBS model. This MS is dedicated to simulating scenarios involving railway infrastructure and a railway vehicle. However, its background theoretical models are adaptable to simulating other model configurations. This article details the MS and a sensitivity analysis that was performed to assess it. These tests were performed using the MBS software Simpack^® (version 2021x). The results obtained from these tests support the selected theoretical equations and the overall validity of the proposed MS. Full article