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Search Results (4,750)

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22 pages, 13312 KiB  
Article
Extracting Wetlands in Coastal Louisiana from the Operational VIIRS and GOES-R Flood Products
by Tianshu Yang, Donglian Sun, Sanmei Li, Satya Kalluri, Lihang Zhou, Sean Helfrich, Meng Yuan, Qingyuan Zhang, William Straka, Viviana Maggioni and Fernando Miralles-Wilhelm
Remote Sens. 2024, 16(20), 3769; https://doi.org/10.3390/rs16203769 - 11 Oct 2024
Abstract
Visible Infrared Imaging Radiometer Suite (VIIRS) and Advanced Baseline Imager (GOES-R ABI) flood products have been widely used by the National Weather Service (NWS) for river flood monitoring, and by the Federal Emergency Management Agency (FEMA) for rescue and relief efforts. Some water [...] Read more.
Visible Infrared Imaging Radiometer Suite (VIIRS) and Advanced Baseline Imager (GOES-R ABI) flood products have been widely used by the National Weather Service (NWS) for river flood monitoring, and by the Federal Emergency Management Agency (FEMA) for rescue and relief efforts. Some water bodies, like wetlands, are detected as water but not marked as permanent or normal water, which may result in their misclassification as floodwaters by VIIRS and GOES-R flood products. These water bodies generally do not cause significant property damage or fatalities, but they can complicate the identification of truly hazardous floods. This study utilizes the severe Louisiana flood event caused by Hurricane Ida to demonstrate how to differentiate wetlands from real-hazard flooding. Since Hurricane Ida made landfall in 2021, and there was no major flood event in 2022, VIIRS and ABI flood data from 2021 and 2022 were selected. The difference in annual total flooding days between 2021 and 2022 was calculated and combined with long-time flood frequency to distinguish non-hazard floodwaters due to wetlands identified from real-hazard floods caused by the hurricane. The results were compared with the wetlands from the change detection analysis. The confusion matrix analysis indicated an accuracy of 91.58%, precision of 89.97%, and F1-score of 76.63% for the VIIRS flood products. For the GOES-R ABI flood products, the confusion matrix analysis yielded an accuracy of 86.88%, precision of 97.49%, and F1-score of 75.21%. The accuracy and F1-score values for the GOES-R ABI flood products are slightly lower than those for the VIIRS flood products, possibly due to their lower spatial resolution, but still within a feasible range. Full article
(This article belongs to the Special Issue Big Earth Data for Climate Studies)
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10 pages, 2341 KiB  
Article
A Reference Database of Reptile Images
by Peter H. Uetz, Maya Patel, Zainab Gbadamosi, Angel Nguyen and Stacey Shoope
Taxonomy 2024, 4(4), 723-732; https://doi.org/10.3390/taxonomy4040038 - 11 Oct 2024
Abstract
While there are millions of reptile images available online, they are not well organized and not easily findable, accessible, interoperable, or reproducible (FAIR). More importantly, they are not standardized and thus hardly comparable. Here we present a reference database of more than 14,000 [...] Read more.
While there are millions of reptile images available online, they are not well organized and not easily findable, accessible, interoperable, or reproducible (FAIR). More importantly, they are not standardized and thus hardly comparable. Here we present a reference database of more than 14,000 standardized images of 1045 reptile species (969 lizard and 76 snake species) that are based on preserved specimens in 20 different collections, including 533 type species of genera and type specimens of 72 species. All images were taken with standardized views, including dorsal and ventral body shots as well as dorsal, ventral, and lateral views of the heads and other body parts. Although only 11 out of the 20 collections are cross-referenced in VertNet, some others are indexed in GBIF, and this fraction will certainly grow in the near future. The utility of this and similar image collections will further grow with additional material and further cross-referencing, e.g., to DNA sequence databases or citizen science projects. The images are searchable and freely available on Morphobank (Project 5121) and on Figshare. Full article
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13 pages, 301 KiB  
Article
A Longitudinal Study on Body Image Perception and Size among Italian Early Adolescents: Changes over Time and Discrepancies between Genders
by Emanuela Gualdi-Russo, Sabrina Masotti, Natascia Rinaldo, Federica De Luca, Stefania Toselli, Gianni Mazzoni, Simona Mandini and Luciana Zaccagni
Nutrients 2024, 16(20), 3439; https://doi.org/10.3390/nu16203439 - 11 Oct 2024
Abstract
Background/Objectives: The discrepancy between the current perceived body image (BI) and beauty ideals leads to dissatisfaction, which is believed to be common among adolescents. This study aimed to investigate the stability in BI perceptions and dissatisfaction during early adolescence. Another aim was to [...] Read more.
Background/Objectives: The discrepancy between the current perceived body image (BI) and beauty ideals leads to dissatisfaction, which is believed to be common among adolescents. This study aimed to investigate the stability in BI perceptions and dissatisfaction during early adolescence. Another aim was to highlight differences in dissatisfaction according to Body Mass Index (BMI) and inconsistencies in weight status perception. Methods: Two hundred and nine participants (mean age at first survey: 11.33 ± 0.38 years) were enrolled in this longitudinal study with three years of follow-up. Data on size and BI perceptions were collected through individual interviews. Stature and weight were directly measured. Results: Findings indicated significant changes over three years in anthropometric traits but not in weight status prevalence or BI perception and dissatisfaction, except for the ideal figure in males and weight control in females. The results also indicated a significant difference in BI perception and dissatisfaction by BMI categories. Self-reported body measurements were found to be unreliable with a weak-to-moderate agreement between self-perceived and actual weight status. Conclusions: BI perception appears quite stable across the three years considered. Dissatisfaction is similar in both genders, although a tendency toward different gender aesthetic ideals is already appreciable in early adolescence. We suggest that the lower frequency of normal-weight adolescents compared with peers in previous studies is attributable to the effects of the recent pandemic. Given the growing dissatisfaction with increasing BMI and misinterpretations of weight status, school actions to promote a healthy lifestyle and positive BI should be undertaken. Full article
(This article belongs to the Special Issue Body Image and Nutritional Status among Adolescents and Adults)
13 pages, 5341 KiB  
Article
Effects of Different Fields of View and Rotation Angles on Radiation Doses to Highly Radiosensitive Organs in Children Using Dental Cone Beam Computed Tomography
by Misaki Ito, Ikuho Kojima, Masahiro Iikubo, Shu Onodera, Masahiro Sai, Masaki Fujisawa, Toshiki Kato, Masaaki Nakamura, Masayuki Zuguchi and Koichi Chida
Appl. Sci. 2024, 14(19), 9154; https://doi.org/10.3390/app14199154 - 9 Oct 2024
Abstract
Dental cone beam computed tomography (CBCT) is a diverse 3D X-ray imaging technique that has enabled clear visualization of the teeth and surrounding structures. The most common diagnostic purpose of dental CBCT examination in children is ectopic eruption and impacted teeth, and a [...] Read more.
Dental cone beam computed tomography (CBCT) is a diverse 3D X-ray imaging technique that has enabled clear visualization of the teeth and surrounding structures. The most common diagnostic purpose of dental CBCT examination in children is ectopic eruption and impacted teeth, and a small field of view (FOV) is often used. Since it is difficult for children to control their body movements, reducing the rotation angle is effective. However, no studies have examined the effects of different rotation angles on radiation doses to highly radiosensitive organs in children using small FOVs. The purpose of this study was to examine the effects of small FOVs (4 × 4 cm and 6 × 6 cm) and rotation angles (360° and 180°) on doses that highly sensitize organs in children using dental CBCT. The entrance surface doses to lenses, thyroid lobes, parotid glands, and sublingual glands of a pediatric whole-body phantom were measured. By reducing the FOV from 6 × 6 cm to 4 × 4 cm, the dose to the sublingual gland could be significantly decreased. Additionally, by reducing the rotation angle from 360° to 180°, the lens dose can be decreased significantly. As the rate of dose reduction varies among organs, it is important to consider the relative positions of different organs with respect to the FOV and the trajectory of the X-ray tube. Full article
(This article belongs to the Special Issue Advances in Diagnostic and Therapeutic Radiology — 2nd Edition)
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14 pages, 927 KiB  
Article
Validation of the Chinese Version of the Body Image Flexibility and Inflexibility Scale among Chinese College Students
by Ruichao Jiao, Dan Zheng, Dongdong Xue, Xiaowei Guo, Hongxing Meng and Xiaozhuang Wang
Behav. Sci. 2024, 14(10), 910; https://doi.org/10.3390/bs14100910 - 8 Oct 2024
Abstract
Body image flexibility is a specific type of psychological flexibility relevant to body image. The development of the Body Image Flexibility and Inflexibility Scale (BIFIS) expands the concept and structure of body image flexibility and provides more detailed measurement indicators for theoretical research [...] Read more.
Body image flexibility is a specific type of psychological flexibility relevant to body image. The development of the Body Image Flexibility and Inflexibility Scale (BIFIS) expands the concept and structure of body image flexibility and provides more detailed measurement indicators for theoretical research and clinical practice. However, the tool’s applicability to the Chinese population is still unclear. This study aims to test the reliability and validity of the BIFIS among Chinese college students. A total of 1446 Chinese college students were surveyed and completed a series of scales, including the Chinese version of the BIFIS (i.e., C-BIFIS). A total of 99 participants were retested one month later. Confirmatory factor analysis supported the second-order factor structure of the BIFIS. The C-BIFIS showed measurement invariance across genders. The scale also exhibited good internal consistency and test–retest reliability. The higher-order body image flexibility and inflexibility factors were significantly correlated with unidimensional body image flexibility, body satisfaction, body appreciation, intuitive eating, and life satisfaction. Incremental validity tests indicated that two higher-order factors remained unique predictors of intuitive eating and life satisfaction. In conclusion, the Chinese version of the BIFIS has good psychometric properties and could be used to study body image flexibility in Chinese college student populations. Full article
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8 pages, 6039 KiB  
Case Report
Cystic Angiomyofibroblastoma of the Uterus Mimicking Ovarian Cancer
by Jae Yoon Jo, Hyo Jung An, In Ae Jo, Jeong Kyu Shin, Won Jun Choi and Jong Chul Baek
Medicina 2024, 60(10), 1645; https://doi.org/10.3390/medicina60101645 - 8 Oct 2024
Abstract
Angiomyofibroblastoma (AMFB) is an exceedingly rare mesenchymal tumor of the lower genital tract. AMFB primarily affects the pelviperineal region, especially the vulvar in premenopausal women. Typically, AMFB is a benign disease and does not have the potential for metastasis or recurrence, requiring complete [...] Read more.
Angiomyofibroblastoma (AMFB) is an exceedingly rare mesenchymal tumor of the lower genital tract. AMFB primarily affects the pelviperineal region, especially the vulvar in premenopausal women. Typically, AMFB is a benign disease and does not have the potential for metastasis or recurrence, requiring complete surgical excision. Its accurate differentiation from aggressive angiomyxoma is critical due to varying prognoses. A 51-year-old woman, diagnosed with mucinous carcinoma of the breast, presented with a 12 cm abdominopelvic mass identified during breast cancer staging. Imaging suggested an ovarian origin; however, surgical exploration revealed a stalk-attached cystic mass in the anterior body of the uterus. Histopathology confirmed AMFB. Immunohistochemical analysis showed positivity for estrogen and progesterone receptors and smooth muscle actin. The patient continued breast cancer treatment postoperatively without pelvic mass recurrence or complications for a postoperative follow-up period of one year. This case highlights AMFB’s potential uterine body origin, expending known tumor sites and complicating diagnosis due to overlapping features with other mesenchymal tumors. Accurate diagnosis using immunohistochemical markers and pathological features is essential to avoid unnecessary aggressive treatments. The uterine location in this case suggests a possible shared pathogenesis with uterine myomas, warranting further research into their connection. Reporting the first case of AMFB originating in the uterine body enhances understanding of this rare condition and underscores the importance of clinical awareness and precise diagnostic strategies to guide management and improve outcomes. Full article
(This article belongs to the Section Obstetrics and Gynecology)
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11 pages, 2834 KiB  
Article
Factors Influencing Background Parenchymal Enhancement in Contrast-Enhanced Mammography Images
by Daniel Wessling, Simon Männlin, Ricarda Schwarz, Florian Hagen, Andreas Brendlin, Sebastian Gassenmaier and Heike Preibsch
Diagnostics 2024, 14(19), 2239; https://doi.org/10.3390/diagnostics14192239 - 8 Oct 2024
Abstract
Background: The aim of this study is to evaluate the correlation between background parenchymal enhancement (BPE) and various patient-related and technical factors in recombined contrast-enhanced spectral mammography (CESM) images. Material and Methods: We assessed CESM images from 62 female patients who underwent CESM [...] Read more.
Background: The aim of this study is to evaluate the correlation between background parenchymal enhancement (BPE) and various patient-related and technical factors in recombined contrast-enhanced spectral mammography (CESM) images. Material and Methods: We assessed CESM images from 62 female patients who underwent CESM between May 2017 and October 2019, focusing on factors influencing BPE. A total of 235 images, all acquired using the same mammography machine, were analyzed. A region of interest (ROI) with a standard size of 0.75 to 1 cm2 was used to evaluate the minimal, maximal, and average pixel intensity enhancement. Additionally, the images were qualitatively assessed on a scale from 1 (minimal BPE) to 4 (marked BPE). We examined correlations with body mass index (BMI), age, hematocrit, hemoglobin levels, cardiovascular conditions, and the amount of pressure applied during the examination. Results: Our study identified a significant correlation between the amount of pressure applied during the examination and the BPE (Spearman’s ρ = 0.546). Additionally, a significant but weak correlation was observed between BPE and BMI (Spearman’s ρ = 0.421). No significant associations were found between BPE and menopausal status, cardiovascular preconditions, hematocrit, hemoglobin levels, breast density, or age. Conclusions: Patient-related and procedural factors significantly influence BPE in CESM images. Specifically, increased applied pressure and BMI are associated with higher BPE. Full article
(This article belongs to the Special Issue Diagnosis and Precision in Breast Cancer)
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14 pages, 1903 KiB  
Review
Recent Advancements in High-Frequency Ultrasound Applications from Imaging to Microbeam Stimulation
by Min Gon Kim, Changhan Yoon and Hae Gyun Lim
Sensors 2024, 24(19), 6471; https://doi.org/10.3390/s24196471 - 8 Oct 2024
Abstract
Ultrasound is a versatile and well-established technique using sound waves with frequencies higher than the upper limit of human hearing. Typically, therapeutic and diagnosis ultrasound operate in the frequency range of 500 kHz to 15 MHz with greater depth of penetration into the [...] Read more.
Ultrasound is a versatile and well-established technique using sound waves with frequencies higher than the upper limit of human hearing. Typically, therapeutic and diagnosis ultrasound operate in the frequency range of 500 kHz to 15 MHz with greater depth of penetration into the body. However, to achieve improved spatial resolution, high-frequency ultrasound (>15 MHz) was recently introduced and has shown promise in various fields such as high-resolution imaging for the morphological features of the eye and skin as well as small animal imaging for drug and gene therapy. In addition, high-frequency ultrasound microbeam stimulation has been demonstrated to manipulate single cells or microparticles for the elucidation of physical and functional characteristics of cells with minimal effect on normal cell physiology and activity. Furthermore, integrating machine learning with high-frequency ultrasound enhances diagnostics, including cell classification, cell deformability estimation, and the diagnosis of diabetes and dysnatremia using convolutional neural networks (CNNs). In this paper, current efforts in the use of high-frequency ultrasound from imaging to stimulation as well as the integration of deep learning are reviewed, and potential biomedical and cellular applications are discussed. Full article
(This article belongs to the Special Issue Ultrasonic Imaging and Sensors II)
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34 pages, 7963 KiB  
Article
Impact of Lyophilized Milk Kefir-Based Self-Nanoemulsifying System on Cognitive Enhancement via the Microbiota–Gut–Brain Axis
by Mai M. Anwar, Amira A. Boseila, Abeer A. Mabrouk, Abdelfattah A. Abdelkhalek and Amr Amin
Antioxidants 2024, 13(10), 1205; https://doi.org/10.3390/antiox13101205 - 7 Oct 2024
Abstract
Chronic inflammatory bowel disorders (IBDs) are characterized by altered intestinal permeability, prompting inflammatory, oxidative stress, and immunological factors. Gut microbiota disorders impact brain function via the bidirectional gut–brain axis, influencing behavior through inflammatory cascades, oxidative stress, and neurotransmitter levels. This study highlights the [...] Read more.
Chronic inflammatory bowel disorders (IBDs) are characterized by altered intestinal permeability, prompting inflammatory, oxidative stress, and immunological factors. Gut microbiota disorders impact brain function via the bidirectional gut–brain axis, influencing behavior through inflammatory cascades, oxidative stress, and neurotransmitter levels. This study highlights the potential effect of integrating lyophilized milk kefir alone and lyophilized milk kefir as solid carriers loaded with a self-nanoemulsifying self-nanosuspension (SNESNS) of licorice extract on an induced chronic IBD-like model in rats. Licorice-SNESNS was prepared by the homogenization of 30 mg of licorice extract in 1 g of the selected SNEDDS (30% Caraway oil, 60% Tween 20, and 10% propylene glycol (w/w)). Licorice-SNESNS was mixed with milk kefir and then freeze-dried. Dynamic TEM images and the bimodal particle size curve confirmed the formation of the biphasic nanosystems after dilution (nanoemulsion and nanosuspension). Daily oral administration of lyophilized milk kefir (100 mg/kg) loaded with SNESNS (10 mg/kg Caraway oil and 1 mg/kg licorice) restored normal body weight and intestinal mucosa while significantly reducing submucosal inflammatory cell infiltration in induced rats. Importantly, this treatment demonstrated superior efficacy compared to lyophilized milk kefir alone by leading to a more significant alleviation of neurotransmitter levels and improved memory functions, thereby addressing gut–brain axis disorders. Additionally, it normalized fecal microbiome constituents, inflammatory cytokine levels, and oxidative stress in examined tissues and serum. Moreover, daily administration of kefir-loaded SNESNS normalized the disease activity index, alleviated histopathological changes induced by IBD induction, and partially restored the normal gut microbiota. These alterations are associated with improved cognitive functions, attributed to the maintenance of normal neurotransmitter levels and the alleviation of triggered inflammatory factors and oxidative stress levels. Full article
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24 pages, 34599 KiB  
Article
Diverse Humanoid Robot Pose Estimation from Images Using Only Sparse Datasets
by Seokhyeon Heo, Youngdae Cho, Jeongwoo Park, Seokhyun Cho, Ziya Tsoy, Hwasup Lim and Youngwoon Cha
Appl. Sci. 2024, 14(19), 9042; https://doi.org/10.3390/app14199042 - 7 Oct 2024
Abstract
We present a novel dataset for humanoid robot pose estimation from images, addressing the critical need for accurate pose estimation to enhance human–robot interaction in extended reality (XR) applications. Despite the importance of this task, large-scale pose datasets for diverse humanoid robots remain [...] Read more.
We present a novel dataset for humanoid robot pose estimation from images, addressing the critical need for accurate pose estimation to enhance human–robot interaction in extended reality (XR) applications. Despite the importance of this task, large-scale pose datasets for diverse humanoid robots remain scarce. To overcome this limitation, we collected sparse pose datasets for commercially available humanoid robots and augmented them through various synthetic data generation techniques, including AI-assisted image synthesis, foreground removal, and 3D character simulations. Our dataset is the first to provide full-body pose annotations for a wide range of humanoid robots exhibiting diverse motions, including side and back movements, in real-world scenarios. Furthermore, we introduce a new benchmark method for real-time full-body 2D keypoint estimation from a single image. Extensive experiments demonstrate that our extended dataset-based pose estimation approach achieves over 33.9% improvement in accuracy compared to using only sparse datasets. Additionally, our method demonstrates the real-time capability of 42 frames per second (FPS) and maintains full-body pose estimation consistency in side and back motions across 11 differently shaped humanoid robots, utilizing approximately 350 training images per robot. Full article
(This article belongs to the Special Issue Computer Vision, Robotics and Intelligent Systems)
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13 pages, 18381 KiB  
Article
Sound and Perception in Ridley Scott’s Blade Runner (1982)
by Audrey Scotto le Massese
Arts 2024, 13(5), 154; https://doi.org/10.3390/arts13050154 - 5 Oct 2024
Abstract
This paper discusses the renewal of the conception of film sound and music following the technological advances of the late 1970s. It analyses the ways in which film sound and music freed themselves from traditional uses and became elements to be designed creatively. [...] Read more.
This paper discusses the renewal of the conception of film sound and music following the technological advances of the late 1970s. It analyses the ways in which film sound and music freed themselves from traditional uses and became elements to be designed creatively. The soundtrack composed by Vangelis for Blade Runner (1982) is exceptional in this regard: produced in parallel to the editing of the film, it forged an intimate connection between sound and image. Through the method of reduced listening put forward by Michel Chion in Audio-Vision (2019), this paper scrutinizes the specific ways in which sound shapes the perception of the image and narrative in Blade Runner. The first part of this paper analyses how sounds come to replace music to characterize moods and atmospheres. Ambient sounds create a concrete, sonically dense diegetic world, while music is associated with an abstract, extra-diegetic world where spectators are designated judges. This contrast is thematically relevant and delineates the struggle between humans and replicants; sound and music are used for their metaphorical implications rather than in an effort for realism. The second part discusses the agency of characters through the sonorousness of their voices and bodies. Intonations, pronunciation, and acousmatic sounds anchor characters’ natures as humans or replicants to their bodies. Yet, these bodies are revealed to be mere vessels awaiting definition; in the third part, we explore how sound is used to craft synaesthetic depictions of characters, revealing their existence beyond the human/replicant divide. Full article
(This article belongs to the Special Issue Film Music)
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21 pages, 10386 KiB  
Article
Microscopic Simulation of RE3+ Migration in Ion-Type Rare Earth Ores Based on Navier–Stokes Equation—Exchange Reaction—Ion Migration Coupling
by Dan Wang, Fuyu Wu, Yunzhang Rao, Zhilian Zhao, Wei Xu and Min Han
Metals 2024, 14(10), 1130; https://doi.org/10.3390/met14101130 - 4 Oct 2024
Abstract
In the in-situ leaching method of ionic rare earth, ion exchange reaction between rare earth ions and leaching agent ions is carried out, which allows the rare earth ions to be leached from the ore body as the leaching solution flows through the [...] Read more.
In the in-situ leaching method of ionic rare earth, ion exchange reaction between rare earth ions and leaching agent ions is carried out, which allows the rare earth ions to be leached from the ore body as the leaching solution flows through the pores. This indicates that the leaching process of rare earth ions is closely related to the seepage field, ion exchange field, and ion migration process of the leaching solution. In this study, an ionic rare earth mine located in Longnan of Jiangxi Province was taken as the research object. By conducting nuclear magnetic resonance scanning on the ore samples of this mine and vectorizing the nuclear magnetic resonance images, a two-dimensional geometric model of pores was obtained. Then, COMSOL Multiphysics software was used to establish a coupled numerical model of seepage–exchange–migration of the ionic rare earth mine during the leaching process at the pore scale to study the seepage situation of leaching solution with different injection strengths and concentrations, as well as the exchange and migration process. The results show that increasing the concentration of magnesium ions can increase the difference of ion diffusion concentration, accelerate the forward exchange rate of ions, promote the forward exchange reaction, and improve the concentration gradient of rare earth ions in the leaching solution. The more significant the diffusion effect, the higher the ion migration rate, while at the same time inhibiting the reverse adsorption of rare earth ions, and accelerating the leaching efficiency of rare earth ions. In addition, increasing the strength of the injection solution allows rare earth ions to leach out of the ore body earlier, shortens the leaching cycle, and thus reduces the peak concentration of leached rare earth ions. By analyzing the effects of the strength of the injection solution and leaching concentration on ionic rare earth leaching, the influence of those two factors on engineering economy can be briefly evaluated, which can be provided as a reference for the optimization of ionic rare earth mining technology. Full article
(This article belongs to the Special Issue Advances in Mineral Processing and Hydrometallurgy—3rd Edition)
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19 pages, 558 KiB  
Systematic Review
Comprehensive Scoping Review on Body Image Perceptions and Influences in Children and Adolescents
by Suellem Zanlorenci, Leticia Gonçalves, Mikael Seabra Moraes, Leandro Narciso Santiago, Matheus Silveira Pedroso and Diego Augusto Santos Silva
Eur. J. Investig. Health Psychol. Educ. 2024, 14(10), 2716-2734; https://doi.org/10.3390/ejihpe14100179 - 4 Oct 2024
Abstract
Conducting a scoping review helps identify research gaps and opportunities, avoid duplication, guide the selection of appropriate methodologies, and base studies on existing evidence. The aim of this study was to map the literature on body image in children and adolescents (0 to [...] Read more.
Conducting a scoping review helps identify research gaps and opportunities, avoid duplication, guide the selection of appropriate methodologies, and base studies on existing evidence. The aim of this study was to map the literature on body image in children and adolescents (0 to 19 years). The present study follows the recommendations of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA). The search was conducted in the following databases: PubMed, Web of Science, Scopus, SPORTDiscus, LILACS, SciELO, PsycINFO, CINAHL, and the Cochrane Library. A total of 3257 articles were found, of which 2147 were duplicates, resulting in 1110 articles. Of these, 41 met the inclusion criteria. The results were divided into analytical dimensions, including measurement instruments, programs and interventions, social media, sociodemographic aspects, physical activity, personality and cognitive thinking, and studies with specific populations. The results highlight that peer influence, physical activity, media, and the school environment play crucial roles in shaping young people’s body image; factors such as sex, age, and socioeconomic context emerge as important variables in understanding body perceptions, and educational interventions and health promotion programs have been shown to be effective in preventing and reducing body dissatisfaction, underscoring the need for multifactorial and collaborative approaches. Full article
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16 pages, 2921 KiB  
Article
Improving Stroke Outcome Prediction Using Molecular and Machine Learning Approaches in Large Vessel Occlusion
by Madhusmita Rout, April Vaughan, Evgeny V. Sidorov and Dharambir K. Sanghera
J. Clin. Med. 2024, 13(19), 5917; https://doi.org/10.3390/jcm13195917 - 3 Oct 2024
Abstract
Introduction: Predicting stroke outcomes in acute ischemic stroke (AIS) can be challenging, especially for patients with large vessel occlusion (LVO). Available tools such as infarct volume and the National Institute of Health Stroke Scale (NIHSS) have shown limited accuracy in predicting outcomes [...] Read more.
Introduction: Predicting stroke outcomes in acute ischemic stroke (AIS) can be challenging, especially for patients with large vessel occlusion (LVO). Available tools such as infarct volume and the National Institute of Health Stroke Scale (NIHSS) have shown limited accuracy in predicting outcomes for this specific patient population. The present study aimed to confirm whether sudden metabolic changes due to blood-brain barrier (BBB) disruption during LVO reflect differences in circulating metabolites and RNA between small and large core strokes. The second objective was to evaluate whether integrating molecular markers with existing neurological and imaging tools can enhance outcome predictions in LVO strokes. Methods: The infarction volume in patients was measured using magnetic resonance diffusion-weighted images, and the 90-day stroke outcome was defined by a modified Rankin Scale (mRS). Differential expression patterns of miRNAs were identified by RNA sequencing of serum-driven exosomes. Nuclear magnetic resonance (NMR) spectroscopy was used to identify metabolites associated with AIS with small and large infarctions. Results: We identified 41 miRNAs and 11 metabolites to be significantly associated with infarct volume in a multivariate regression analysis after adjusting for the confounders. Eight miRNAs and ketone bodies correlated significantly with infarct volume, NIHSS (severity), and mRS (outcome). Through integrative analysis of clinical, radiological, and omics data using machine learning, our study identified 11 top features for predicting stroke outcomes with an accuracy of 0.81 and AUC of 0.91. Conclusions: Our study provides a future framework for advancing stroke therapeutics by incorporating molecular markers into the existing neurological and imaging tools to improve predictive efficacy and enhance patient outcomes. Full article
(This article belongs to the Special Issue Stroke Diagnosis and Outcome Prediction)
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11 pages, 365 KiB  
Article
Unraveling Pneumomediastinum in COVID-19 Patients: Insights from a High-Volume-Center Case–Control Study
by Khrystyna Kuzmych, Marcello Covino, Mattia Paratore, Annalisa Campanella, Ludovico Abenavoli, Giuseppe Calabrese, Antonio Giulio Napolitano, Carolina Sassorossi, Stefano Margaritora and Filippo Lococo
Diseases 2024, 12(10), 242; https://doi.org/10.3390/diseases12100242 - 3 Oct 2024
Abstract
Background: Pneumomediastinum (PNM) is a severe complication in COVID-19 patients, potentially exacerbating morbidity and requiring heightened clinical attention. This study aims to identify risk factors, clinical characteristics, and outcomes associated with PNM in COVID-19 patients hospitalized for respiratory failure in our institution. Methods: [...] Read more.
Background: Pneumomediastinum (PNM) is a severe complication in COVID-19 patients, potentially exacerbating morbidity and requiring heightened clinical attention. This study aims to identify risk factors, clinical characteristics, and outcomes associated with PNM in COVID-19 patients hospitalized for respiratory failure in our institution. Methods: Among 4513 patients admitted in our institution and testing positive for COVID-19 infection during the peak of the COVID-19 pandemic in Italy (1 March 2020 to 31 July 2020), we conducted a single-center, retrospective case–control study focusing our analysis on those with severe disease (respiratory failure). The cohort included a total of 65 patients (32 with PNM and 33 without PNM in the same period). Data were retrospectively collected from hospital records, including demographics, comorbidities, smoking history, clinical and laboratory findings, and imaging results. Statistical analyses were performed using Fisher’s exact test and Student’s t-test, with significance set at α = 0.05. Results: Patients with PNM were significantly younger (54.9 ± 18.5 vs. 65.4 ± 14.3 years, p = 0.0214) and exhibited higher inflammatory markers, particularly white blood cells count (WBC) at admission (11.4 ± 5.4 vs. 6.5 ± 4.1, p < 0.0001). Although smoking status, body mass index (BMI), and major comorbidities did not differ significantly between groups, COPD was more prevalent in the PNM group (46.9% vs. 15.1%, p = 0.0148). Radiologically, ground-glass opacities (GGOs) and consolidations were more frequent in PNM patients (93.7% vs. 51.5%, p = 0.0002; 78.1% vs. 42.2%, p = 0.0051, respectively). PNM was associated with longer hospital stays (28.5 ± 14.9 vs. 12.0 ± 7.2 days, p < 0.0001) and a higher need for invasive mechanical ventilation (53.1% vs. 30.3%, p = 0.0619). However, mortality rates did not differ significantly between groups. Conclusions: PNM in patients with severe COVID-19 infection is associated with younger age, elevated inflammatory markers, and extensive lung involvement, contributing to increased morbidity and prolonged hospitalization. Early detection and tailored management strategies, including optimized respiratory support and aggressive anti-inflammatory therapies, are crucial in mitigating the adverse outcomes associated with PNM. Further research is needed to validate these findings and improve clinical protocols for managing this complication. Full article
(This article belongs to the Special Issue COVID-19 and Global Chronic Disease 2024: The Post-pandemic Era)
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