Machine Learning-Based Prediction of Ecosystem-Scale CO₂ Flux Measurements by Jeffrey Uyekawa, John Leland, Darby Bergl, Yujie Liu, Andrew D. Richardson, Benjamin Lucas

“…We compared the performance of seven machine learning algorithms using 35 environmental drivers and site-specific variables as predictors. We found that Extreme Gradient Boosting (XGBoost) consistently produced the most accurate predictions (Root Mean Squared Error of 1.81 μmolm⁻²s⁻¹, R² of 0.86). …”
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Conventional endotracheal tubes versus polymer-coated tubes in ventilator-associated pneumonia development: A systematic review and meta-analysis by Oscar Inácio de Mendonça Bisneto, Luanna Paula Garcez de Carvalho Feitoza, Larissa Calixto Hespanhol, Sávio Benvindo Ferreira, Caroline Serafim Dagostin, Roberto Augusto Mazetto Silva Vieira, Lucas Alencar Queiroz, Lucas Chen, Taniela Marli Bes, Ho Yeh Li

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Political Crisis in France: «Gilets Jaunes» and the End of the «First Period» of the Emmanuel Macron’s Governance by E. O. Obichkina

“…The current crisis is partly a consequence of the protracted identity crisis at both extremes of French political spectrum, resulting from a long period of relatively conflict-free alternation of left and center-right parties in a relatively favorable economic environment that accompanies the development of a consumer society and a social state. …”
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Analysis of spatio-temporal fungal growth dynamics under different environmental conditions by Liselotte De Ligne, Guillermo Vidal-Diez de Ulzurrun, Jan M. Baetens, Jan Van den Bulcke, Joris Van Acker, Bernard De Baets

“…When defining optimal growth conditions for a fungus, it is therefore of primordial importance that the effect of temperature and RH is assessed simultaneously. At the most extreme conditions we tested, the mycelium most probably experienced water stress when developing over the inert Petri dish surface. …”
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About One Memorable Date in the History of Spain by G. I. Volkova

“…It is not coincidental that regional identity in Spain is still extremely strong, while the interethnic consolidation of the Spanish nation can be characterized as incomplete, which can be seen, particularly, in the intensification in recent decades of radical nationalist and separatist sentiments in Catalonia, the Basque Country and some other autonomies. …”
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Diagnosis Osteoporosis Risk: Using Machine Learning Algorithms Among Fasa Adults Cohort Study (FACS) by Saghar Tabib, Seyed Danial Alizadeh, Aref Andishgar, Babak Pezeshki, Omid Keshavarzian, Reza Tabrizi

“…Methods We analysed the data related to osteoporosis risk factors obtained from the Fasa Adults Cohort Study in eight ML methods, including logistic regression (LR), baseline LR, decision tree classifiers (DT), support vector classifiers (SVC), random forest classifiers (RF), linear discriminant analysis (LDA), K nearest neighbour classifiers (KNN) and extreme gradient boosting (XGB). For each algorithm, we calculated accuracy, precision, sensitivity, specificity, F1 score and area under the curve (AUC) and compared them. …”
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CAR T-cell detection scoping review: an essential biomarker in critical need of standardization by Naomi Taylor, Nirali N Shah, David P Turicek, Victoria M Giordani, Josquin Moraly

“…The current reporting of non-interconvertible metrics and limited provision of quantitative data make cross-trial and cross-CAR T-cell construct comparisons extremely challenging. Establishing a standardized approach for collecting and reporting data is urgently needed and would represent a substantial advancement in the ability to improve outcomes for patients receiving CAR T-cell therapies.…”
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Autoencoder untuk Sistem Prediksi Berat Lahir Bayi by Fitra Septia Nugraha, Hilman Ferdinandus Pardede

“…By using precise prediction methods extreme estimates of baby birth weight can be detected more or less so that some precautions can be taken before delivery. …”
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Effect on Movement and Balance Function with Robot Training for Stroke Patients in Lower Limb Rehabilitation by Zhiyuan WU, Kunbin LI, Shuwei LOU, Xianli YAO, Pingge SUN, Xiaoxing LI

“…BBS score and FMA score of the observation group were significantly higher than those of the control group at the same time after treatment, and NIHSS score was significantly lower than that of the control group, with statistically significant differences (<italic>P</italic>&lt;0.05).Conclusion:The application of lower limb rehabilitation robot training can reduce the neurological deficit in stroke patients, and promote the recovery of balance function and lower extremity motor function.…”
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A Case of Exacerbation of Chronic Pancreatitis Against the Background of COVID-19 Complicated by Pancreaticopleural Fistula with Enzymatic Pleurisy by I. I. Kotov, I. Yu. Kalinina, A. R. Propp, D. A. Sulim

“…In primary chronic pancreatitis, pancreaticopleural fistulas develop extremely rarely, while abdominal symptoms may not be expressed, and pleural effusion syndrome comes first in the clinical picture, so it is difficult to establish the true cause of exudative pleurisy in such a situation. …”
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Farmers’ Perception of the Impacts of Climate Variability and Change on Food Security in Rubanda District, South Western Uganda by Willbroad, Byamukama, Bello N.J, Omoniyi T.E

“…Climate variability and change factors have the potential for climatic stress on food security according to the observed agricultural production decline and farmers are seasonally faced with problems of food deficits due to unpredicted extreme weather events. The study established that policies, improved access to climate forecasting and dissemination and accessible extension service should be directed toward interventions to improve agriculture productivity by addressing issues concerning aspects of climate variability and change that constantly affect the dimensions of food security.…”
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Predicting 30-day mortality in severely injured elderly patients with trauma in Korea using machine learning algorithms: a retrospective study by Jonghee Han, Su Young Yoon, Junepill Seok, Jin Young Lee, Jin Suk Lee, Jin Bong Ye, Younghoon Sul, Se Heon Kim, Hong Rye Kim

“…Four machine learning models—logistic regression, decision tree, random forest, and eXtreme Gradient Boosting (XGBoost)—were developed to predict 30-day mortality. …”
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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’ (&lt;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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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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Development of a Novel Clinical Classification for Radiation-induced Cystitis: The Portuguese Navy Radiation-induced Cystitis (PNRC) Scale by Tiago Ribeiro de Oliveira, Carla D’Espiney Amaro, Sérgio Henriques Pereira, Afonso Sousa Castro, Pedro Gomes Monteiro, João Cardoso Felício, Guilherme Bernardo, João Chambino, José Palma dos Reis, Chandra Shekhar Biyani

“…Background and objective: Radiation-induced cystitis (RIC) is an important consequence of pelvic radiotherapy that can cause high morbidity and, in extreme cases, mortality. The lack of a widely accepted classification system makes it difficult to compare treatment regimens. …”
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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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The CD4/CD8 ratio is associated with T lymphocyte functions in long-term virally suppressed patients with HIV by Qing Xiao, Fengting Yu, Liting Yan, Xiaojie Lao, Xuelei Liang, Hongxin Zhao, Liuyue Zhai, Zailin Yang, Xiaomei Zhang, Yao Liu, Fujie Zhang

“…Methods 125 PLWHs and 31 HIV-uninfected controls (UCs) were enrolled and categorized into four groups based on their CD4/CD8 ratios: extremely low ratio (ELR) group: 0.4 < CD4/CD8; low ratio (LR) group: 0.4 ≤ CD4/CD8<0.7; medium ratio (MR) group: 0.7 ≤ CD4/CD8<1; high ratio (HR) group: CD4/CD8 ≥ 1. …”
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Use of Machine Learning to Predict the Incidence of Type 2 Diabetes Among Relatively Healthy Adults: A 10-Year Longitudinal Study in Taiwan by Ying-Qiang Liu, Tzu-Wei Chang, Lung-Chun Lee, Chia-Yu Chen, Pi-Shan Hsu, Yu-Tse Tsan, Chao-Tung Yang, Wei-Min Chu

“…Ultimately, 6687 adults were included in the final analysis, where we implemented three different ML algorithms, including logistic regression (LR), random forest (RF) and extreme gradient boosting (XGBoost) in order to predict diabetes. …”
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