A multi-layer neural network-based evaluation of MHD radiative heat transfer in Eyring–Powell fluid model by Muflih Alhazmi, Zahoor Shah, Muhammad Asif Zahoor Raja, Nafisa A. Albasheir, Maryam Jawaid

“…In the modern era, artificial intelligence (AI) has been applied as one of the transformative factors for scientific research in many fields that could provide new solutions to extremely complicated and complex physical models. …”
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Influence of climate factors on the formation of radial increment of walnut wood by Leonid Osadсhuk, Volodymyr Mahuran, Liubov Kondratiuk

“…In the growing season of 2004-2023, with an increase in the intensity and frequency of extreme weather conditions during the vegetative development of plants, such as high air temperatures and moisture deficit, the negative impact of these phenomena on the growth of walnuts was observed. …”
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Gluten-Free Diet Adherence Evaluation in Adults with Long-Standing Celiac Disease by Marek K. Kowalski, Danuta Domżał-Magrowska, Piotr Szcześniak, Magdalena Bulska, Daria Orszulak-Michalak, Ewa Małecka-Wojciesko

“…Following a gluten-free diet is extremely problematic, and patients often make unconscious deviations from the diet. …”
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Assessing the fall risk with Stay Independent Questionnaire in people with stroke by Peiming Chen, Peiming Chen, T. W. Liu, Shamay S. M. Ng, Shamay S. M. Ng

“…Additionally, individuals with stroke were evaluated using the Fugl–Meyer Assessment of Lower Extremity (FMA-LE), ankle dorsiflexion and plantarflexion strength, Berg Balance Scale (BBS), Timed-Up and Go Test (TUG), 10-meter walk test (10 mWT), Activities-specific Balance Confidence (ABC) Scale, Stroke Impact Scale (SIS), and Community Integration Measure (CIM). …”
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Psychological well-being and academic performance of Ukrainian medical students under the burden of war: a cross-sectional study by Mykhaylo Korda, Arkadii Shulhai, Oksana Shevchuk, Oleksandra Shulhai, Anna-Mariia Shulhai, Anna-Mariia Shulhai

“…A total of 776 students filled out the DASS-21 scale and 491 IES-R scale, respectively.ResultsFollowing the first 18 months of the war, 62.5, 59.6, and 58.8% of Ukrainian medical students self-reported signs of stress, anxiety, and depression, respectively. Severe and extremely severe depressive symptoms were observed in 25.6% of students, anxiety in 31.9%, and stress in 29.7%, with a higher prevalence among female students. …”
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Spatiotemporal evolution and driving force analysis of drought characteristics in the Yellow River Basin by Meiying Wang, Yangbo Chen, Jingyu Li, Yanjun Zhao

“…Global warming intensifies extreme precipitation events, impacting society significantly, and drought is one of the most important stress factors for the ecological security of the Yellow River Basin (YRB). …”
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Analysis of geothermal impact on metabolite compounds of heat-tolerant plant species using clustering and similarity cliff by N.B. Maulydia, K. Khairan, T.E. Tallei, F. Mohd Fauzi, R. Idroes

“…BACKGROUND AND OBJECTIVES: Geothermal zones, famous for their extreme temperatures and exceptional environmental features, offer captivating locations for exploring. …”
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Halophilic bacteria of salt lakes and saline soils of the Peri-Caspian lowland (Republic of Daghestan) and their biotechnological potential by E. A. Khalilova, S. T. Kotenko, E. A. Islammagomedova, A. A. Abakarova, N. A. Chernyh, D. A. Aliverdiyeva

“…G2 (MW386470) with a similarity of the nucleotide sequences of the 16S rRNA genes is 95 %. Strain G2 is an extreme halophile capable of growing in the range of 5–25 % NaCl (optimum 25 %) and forming a carotenoid pigment. …”
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Designing host-associated microbiomes using the consumer/resource model by Germán Plata, Karthik Srinivasan, Madan Krishnamurthy, Lukas Herron, Purushottam Dixit

“…Our approach aids the analysis and design of microbial communities associated with host phenotypes of interest.IMPORTANCEGenerative models are extremely popular in modern biology. They have been used to model the variation of protein sequences, entire genomes, and RNA sequencing profiles. …”
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A Local Adversarial Attack with a Maximum Aggregated Region Sparseness Strategy for 3D Objects by Ling Zhao, Xun Lv, Lili Zhu, Binyan Luo, Hang Cao, Jiahao Cui, Haifeng Li, Jian Peng

“…To minimize the attack camouflage regions, a sparseness regularization is designed to make the mask weights tend toward a U-shaped distribution and limit extreme values. Additionally, neural rendering is used to obtain gradient-propagating multi-angle augmented data and suppress the model’s detection to locate universal critical decision regions from multiple angles. …”
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Factors associated with the injury severity of falls from a similar height and features of the injury site in Korea: a retrospective study by Dae Hyun Kim, Jae-Hyug Woo, Yang Bin Jeon, Jin-Seong Cho, Jae Ho Jang, Jea Yeon Choi, Woo Sung Choi

“…Injuries in the lower and upper extremities were more common in intentional and unintentional falls, respectively.…”
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Autonomous International Classification of Diseases Coding Using Pretrained Language Models and Advanced Prompt Learning Techniques: Evaluation of an Automated Analysis System Usin... by Yan Zhuang, Junyan Zhang, Xiuxing Li, Chao Liu, Yue Yu, Wei Dong, Kunlun He

“…Its performance was compared against robustly optimized BERT pretraining approach, extreme language network, and various BERT-based fine-tuning pipelines. …”
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A Blueprint for the Problem Formulation Phase of EPA-Type Ecological Risk Assessments for 316(b) Determinations by Webster Van Winkle, William P. Dey, Steve M. Jinks, Mark S. Bevlhimer, Charles C. Coutant

“…For some facilities, we anticipate that the assessment can be completed based on consideration of susceptibility alone. At the other extreme, a high level of regulatory concern combined with the availability of extensive information and consideration of costly CWIS mitigation options may result in the ecological risk assessment relying on analyses at all levels. …”
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Comparing C3, 4, and 5 nerve root block and interscalene with intermediate cervical plexus block in diaphragmatic motion for clavicle surgery by Qi Li, Xiaoxiao Chen, Junde Han, Yaming Xie, Chentao Gu

“…Secondary outcomes included the rate of complete hemi-diaphragmatic paralysis at 15 min and the degree of diaphragmatic motion restoration at 2, 4, 6, and 8 h post-blockade, onset time of block, motor block score in upper extremity, and adverse events. Results showed that only one patient (5%) in the C345 group vs. fifteen (75%) in the ISB + ICPB group experienced complete hemi-diaphragmatic paralysis at 30 min during deep breathing (P = 0.001). …”
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Study on the changes and influencing factors of depression in Chinese women with cancer: an analysis based on CHARLS panel data by Na Wang, Mengran Chang, Shidong Liu, Bing Chen

“…BackgroundThe social problems caused by depressive disorders and psychological behaviors in women are increasingly prominent, with extreme incidents occurring from time to time. Therefore, the issue concerning “how to prevent and resolve the risk of depression in women” is gaining significant attention across various sectors. …”
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Remarkable Phytochemical Characteristics of Chi-Nan Agarwood Induced from New-Found Chi-Nan Germplasm of Aquilaria sinensis Compared with Ordinary Agarwood by Meng Yu, Yangyang Liu, Jian Feng, Deli Chen, Yun Yang, Peiwei Liu, Zhangxin Yu, Jianhe Wei

“…The difference is mainly manifested in the average contents of 2-(2-phenylethyl)chromone and 2-[2-(4′-methoxybenzene)ethyl]chromone, which are 170 and 420 times higher in Chi-Nan agarwood than in ordinary agarwood, respectively, while the contents of 5,6,7,8-diepoxy-2-(2-phenylethyl)chromones(DEPECs), 5,6-epoxy-2-(2-phenylethyl)chromones(EPECs), and 5,6,7,8-tetrahydro-2-(2-phenylethyl)chromones(THPECs) such as agarotetrol are extremely low. The content of the main sesquiterpenes in Chi-Nan agarwood was higher than that in ordinary agarwood, especially in regard to guaiane and eudesmane derivatives. …”
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Antibody-based delivery of interleukin-2 modulates the immunosuppressive tumor microenvironment and achieves cure in pancreatic ductal adenocarcinoma syngeneic mice by Carmine Carbone, Roberto De Luca, Emanuele Puca, Antonio Agostini, Alessia Caggiano, Lorenzo Priori, Annachiara Esposito, Serena Ascrizzi, Geny Piro, Lisa Salvatore, Francesco De Sanctis, Stefano Ugel, Vincenzo Corbo, Dario Neri, Giampaolo Tortora

“…Abstract Background Pancreatic ductal adenocarcinoma (PDAC) is one of the most aggressive and deadly type of cancer, with an extremely low five-year overall survival rate. To date, current treatment options primarily involve various chemotherapies, which often prove ineffective and are associated with substantial toxicity. …”
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A cross-sectional study exploring the predictors of herpes zoster vaccination for people aged over 50 years old in Chaoyang district, Beijing by Jiao Zhang, Shuo Zhang, Bin Jia, Yunhua Bai, Zhen Li, Fang Liu, Yingxue Hu, Xiaojing Guo, Jianxin Ma, Shuming Li, Qian Shi

“…The coverage of herpes zoster vaccination is extremely low in China, and there is a notable lack of research investigating the barriers to promoting the herpes zoster vaccine in China.ObjectivesThis study aims to survey the status of herpes zoster (HZ) vaccination and its associated factors among individuals aged 50 years and older, it also seeks to identify the barriers to vaccination and dissemination, thereby providing a scientific foundation for enhancing the vaccination rate of herpes zoster.MethodsFrom March to August 2023, a questionnaire survey was conducted using a multi-stage sampling method on permanent residents aged 50 years and older in Chaoyang district of Beijing. …”
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Estimation of chlorophyll-a in uncrewed aircraft systems imagery using autonomous surface vessel data with machine learning algorithms and feature selection techniques by Mohammad Shakiul Islam, Padmanava Dash, Abduselam M. Nur, Hafez Ahmad, Rajendra M. Panda, Jessica S. Wolfe, Gray Turnage, Lee Hathcock, Gary D. Chesser, Jr, Robert J. Moorhead

“…Among the 10 ML algorithms tested, the extreme gradient boosting (XGB) algorithm demonstrated superior performance, achieving the highest R2 score of 0.848. …”
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Predictive modelling and identification of critical variables of mortality risk in COVID-19 patients by Olawande Daramola, Tatenda Duncan Kavu, Maritha J. Kotze, Jeanine L. Marnewick, Oluwafemi A. Sarumi, Boniface Kabaso, Thomas Moser, Karl Stroetmann, Isaac Fwemba, Fisayo Daramola, Martha Nyirenda, Susan J. van Rensburg, Peter S. Nyasulu

“…This study aimed to investigate the performance and interpretability of several ML algorithms, including deep multilayer perceptron (Deep MLP), support vector machine (SVM) and Extreme gradient boosting trees (XGBoost) for predicting COVID-19 mortality risk with an emphasis on the effect of cross-validation (CV) and principal component analysis (PCA) on the results. …”
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