Heat Tolerance Differences Between Hu Sheep and Hu Crossbred Sheep in Microbial Community Structure and Metabolism by Jing-Da Yuan, Li-Wei Wang, Shao-Yin Fu, Ri-Ge-Li-Tu E, Xiao-Qi Ren, Hua Sun, Fang Liu, Biao Wang, Jiang-Hong An, Meng-Ran Zhao, Jiang-Feng He, Xiao-Long He

“…Background: The frequent occurrence of extreme temperature events causes significant economic losses to the livestock industry. …”
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Bridging incremental to transformative hazard management strategies on the Tule River Indian Reservation by Natalie Herbert, Caroline Beckman, Kerri Vera, Eric Coles, Thomas Kim, Seung-Hyun Cho, Gabrielle Wong-Parodi

“…The Reservation is rural and isolated, and many of the 2000 members manage chronic health conditions like diabetes alongside increasing wildfire and wildfire smoke, extreme heat, drought, and flooding hazards. We ask: how do emergency managers and health practitioners on the Reservation characterize hazards and the vulnerabilities of the people they serve, and how do these understandings determine viable pathways for adaptation to support community health? …”
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Human soft tissue sarcomas harbor an intratumoral viral microbiome which is linked with natural killer cell infiltrate and prognosis by William J Murphy, Robert J Canter, Nikhil Joshi, Sean J Judge, Morgan A Darrow, Steve W Thorpe, Alicia A Gingrich, Lauren M Perry, Sylvia M Cruz, Kara T Kleber, Louis B Jones, Ugur N Basmaci, Matthew L Settles, Blythe P Durbin-Johnson, Arta Monir Monjazeb, Janai Carr-Ascher, Jonathan A Eisen

“…Most tumors were located at an extremity (67%) and were histologic grade 3 (87%). 40% were well-differentiated/dedifferentiated liposarcoma histology. …”
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Quantitative proteomic analysis unveils a critical role of VARS1 in hepatocellular carcinoma aggressiveness through the modulation of MAGI1 expression by Natalia Hermán-Sánchez, Mercedes del Rio-Moreno, Rubén Ciria, Marina E. Sánchez-Frias, Maite G. Fernández-Barrena, Iker Uriarte, Eduardo Chicano-Galvez, Ignacio Ortea, Ángela Peralbo-Molina, Javier Briceño, Matías A. Avila, Manuel Rodríguez-Perálvarez, Raúl M. Luque, Juan L. López-Cánovas, Manuel D. Gahete

“…VARS1-overexpressing Hep3B cells were used for in vivo studies [Extreme Limiting Dilution Assay (ELDA) and orthotopic tumour formation]. …”
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Comparison of fracture risk calculators in elderly fallers: a hospital-based cross-sectional study by Sophia von Widekind, Georgi Todorov, Susan Brook, Nicole Quah Qin Xian, Bernard Freudenthal, Alexander N Comninos

“…Objective Elderly patients presenting with falls are known to carry an extremely high risk of future fragility fractures. …”
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Spatiotemporal Dynamics of Drought in the Huai River Basin (2012–2018): Analyzing Patterns Through Hydrological Simulation and Geospatial Methods by Yuanhong You, Yuhao Zhang, Yanyu Lu, Ying Hao, Zhiguang Tang, Haiyan Hou

“…As climate change intensifies, extreme drought events have become more frequent, and investigating the mechanisms of watershed drought has become highly significant for basin water resource management. …”
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Chitosan oligosaccharide alleviates DON-induced liver injury via suppressing ferroptosis in mice by Mengjie Liu, Zhenlin Li, Jie Li, Guorong Yan, Chaoqi Liu, Qingqiang Yin, Yeqiang Liu, Xiaoxiang Xu

“…Deoxynivalenol (DON) is a prevalent mycotoxin, causing extreme liver damage. However, the mechanism whereby COS alleviates DON-induced liver injury remains unclear. …”
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Development and internal validation of the Edmonton Obesity Staging System-2 Risk screening Tool (EOSS-2 Risk Tool) for weight-related health complications: a case-control study in... by Evan Atlantis, P Fahey, Kathryn Williams, Paul Dugdale, James Rufus John, SL Hocking, Kath Peters

“…The EOSS-2 Risk Tool (index test) classified 89% of those at ‘extremely high risk’ (≥25 points), 67% of those at ‘very high risk’ (7–24 points) and 42% of those at ‘high risk’ (<7 points) of meeting diagnostic criteria for EOSS≥2 (reference).Conclusion The EOSS-2 Risk Tool is a simple, safe and accurate screening tool for diagnostic criteria for clinically significant weight-related complications for potential application in general practice. …”
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Circulations migratoires des peuples de l’Ouest Cameroun : impacts culturels et cultuels by Gisèle PIEBOP

“…Résumé : Reconnus mondialement pour leur dynamisme économique qui leur vaut le sobriquet de « poumon de l’économie camerounaise », les peuples de la région de l’Ouest au Cameroun se démarquent également par leur extrême propension expansive aussi bien à l’intérieur qu’au-delà des frontières du triangle national camerounais. …”
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RCE-IFE: recursive cluster elimination with intra-cluster feature elimination by Cihan Kuzudisli, Burcu Bakir-Gungor, Bahjat Qaqish, Malik Yousef

“…Furthermore, RCE-IFE surpasses several state-of-the-art FS methods, such as Minimum Redundancy Maximum Relevance (MRMR), Fast Correlation-Based Filter (FCBF), Information Gain (IG), Conditional Mutual Information Maximization (CMIM), SelectKBest (SKB), and eXtreme Gradient Boosting (XGBoost), obtaining an average AUC of 0.76 on five gene expression datasets. …”
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Integrating Remote Sensing and Soil Features for Enhanced Machine Learning-Based Corn Yield Prediction in the Southern US by Sayantan Sarkar, Javier M. Osorio Leyton, Efrain Noa-Yarasca, Kabindra Adhikari, Chad B. Hajda, Douglas R. Smith

“…Four regression and machine learning algorithms were evaluated for yield prediction: linear regression, random forest, extreme gradient boosting, and gradient boosting regressor. …”
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Using remote sensing and machine learning to generate 100-cm soil moisture at 30-m resolution for the black soil region of China: Implication for agricultural water management by Liwen Chen, Boting Hu, Jingxuan Sun, Y. Jun Xu, Guangxin Zhang, Hongbo Ma, Jingquan Ren

“…Secondly, leveraging the Extreme Gradient Boosting (XGBoost) model along with reanalysis and in-situ measurements, we estimate soil moisture information across depths of 0–100 cm depth by 10 cm interval over large geographical extents. …”
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PROTON RADIATION THERAPY: CLINICAL APPLICATION OPPORTUNITIES AND RESEARCH PROSPECTS by M. V. Zabelin, V. A. Klimanov, J. J. Galyautdinova, A. S. Samoilov, A. O. Lebedev, E. V. Shelyhina

“…In treatment of non-small cell cancer of mild advantage of proton therapy aren’t absolutely proved yet. There are data on extreme toxicity of a combination of a chemotherapy and photon radiation. …”
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ŽINOJIMO SOCIALUMO PROBLEMA ŠIUOLAIKINĖJE SOCIALINĖJE EPISTEMOLOGIJOJE: DU POŽIŪRIAI by Audronė Rimkutė

“…So contemporary social epistemology vacillates meantime between two extremities: the individualistic concept of knowledge, which doesn’t help to solve the problems of collective knowledge production, and sociologistic one, which reduces knowledge seeking to social actions and therefore can’t provide base for the adequate knowledge and science policy. …”
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An investigation of machine learning methods applied to genomic prediction in yellow-feathered broilers by Bogong Liu, Huichao Liu, Junhao Tu, Jian Xiao, Jie Yang, Xi He, Haihan Zhang

“…In this study, seven different ML methods—support vector regression (SVR), random forest (RF), gradient boosting decision tree (GBDT), extreme gradient boosting (XGBoost), light gradient boosting machine (LightGBM), kernel ridge regression (KRR) and multilayer perceptron (MLP) were employed to predict the genomic breeding values of laying traits, growth and carcass traits in a yellow-feathered broiler breeding population. …”
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Silver-based plasmonic nanoparticles for biosensor organophosphate pesticides using a single film containing acetylcholinesterase/choline oxidase by D. Hermanto, N. Ismillayli, H. Muliasari, R. Wirawan, S.R. Kamali

“…Hydrogen peroxide reacts with the silver nanoparticles, and the discoloration of the brown solution occurs due to the oxidation of silver+.FINDINGS: As a biosensor indicator, silver nanoparticles were extremely accurate, sensitive, and stable over a long period of storage. …”
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TransRAUNet: A Deep Neural Network with Reverse Attention Module Using HU Windowing Augmentation for Robust Liver Vessel Segmentation in Full Resolution of CT Images by Kyoung Yoon Lim, Jae Eun Ko, Yoo Na Hwang, Sang Goo Lee, Sung Min Kim

“…Consequently, it would be extremely useful to develop a deep learning-based automatic liver vessel segmentation method. …”
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A conceptual model for advanced/metastatic gastric or gastroesophageal junction cancer: a review of qualitative studies and results from patient interviews by France Ginchereau Sowell, Thom de Milliano, Keri J. S. Brady, Ginamarie Foglia, Medha Sasane, Samira Bensfia, Matthew Reaney

“…The 12 most important symptoms (mentioned by ≥ 50% of patients; average disturbance ratings: ≥5, scale: 0 'not disturbing' to 10 'extremely disturbing') were: nausea, fatigue, temperature sensitivity, indigestion, weakness, diarrhea, vomiting, early satiety, swallowing difficulties, taste alterations, abdominal pain, general pain. …”
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Heatstroke characteristics and meteorological conditions in Hefei, China: thresholds and driving factors by Xueliang Deng, Liang Zhao, Changchun Xiao, Rui Dai, Qianqian Xu, Yeqing Yao, Caimeng Liang, Lei Yao, Dongyan He

“…The reduced physical fitness of elderly people raised the risk of heatstroke more than other age groups in extremely high temperatures. Conclusions A meteorological threshold system had been established to forecast heatstroke occurrence in a short-term time, and a key climate driving factor of heatstroke was found for long-term heatstroke prediction in Hefei. …”
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The BASIDIN effector of the fungus Moniliophthora perniciosa promotes positive effects on the seed germination and seedlings development of Lactuca sativa by Keilane Silva Farias, Monaliza Macêdo Ferreira, Ivina Barbosa De Oliveira, Ronaldo José Durigan Dalio, Carlos Priminho Pirovani

“…Since lettuce propagates through seeds, the use of high-quality seeds is extremely important for establishing the crop. Several studies have demonstrated the potential of alternative methods of seed treatment with the aim of increasing productivity. …”
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