Cultivating crayfish (Procambarus clarkii) significantly enhances the quantity and diversity of soil microorganisms: evidence from the comparison of rice-wheat and rice-crayfish ro... by Hui Xu, Hui Xu, Dan Wang, Dan Wang, Dan Wang, Xuguang Li, Xuguang Li, Jiajia Li, Jiajia Li, Yu Xu, Yu Xu, Zhiqiang Xu, Zhiqiang Xu

“…The Similarity Percentages (SIMPER) analysis indicated that these species also had the highest contribution to the differences in microbial composition between the two groups. Random forest prediction analysis was employed to identify potential biomarkers to distinguish the two microbial communities. …”
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Exploring the impact of aging on motor imagery abilities: a systematic review with meta-analysis by José Fierro-Marrero, José Fierro-Marrero, José Fierro-Marrero, Mario González-Iglesias, Alberto Melis-Romeu, Javier Andrés López-Vidal, Alba Paris-Alemany, Alba Paris-Alemany, Alba Paris-Alemany, Roy La Touche, Roy La Touche, Roy La Touche

“…Mental chronometry in upper limb movements was analyzed visually in forest plot indicating tendencies of greater time in older adults. …”
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Earliness and morphotypes of common wheat cultivars of Western and Eastern Siberia by S. E. Smolenskaya, V. M. Efimov, Y. V. Kruchinina, B. F. Nemtsev, G. Y. Chepurnov, E. S. Ovchinnikova, I. A. Belan, E. V. Zuev, Chenxi Zhou, V. V. Piskarev, N. P. Goncharov

“…The retrospective analysis based on the cultivars’ zoning time included in the “State Register for Selection Achievements Admitted for Usage” brought us to the conclusion that the earliness/lateness of modern Siberian commercial cultivars was not regionally but rather zonally-associated (taiga, subtaiga, forest-steppe and steppe zones).…”
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Modeling the determinants of attrition in a two-stage epilepsy prevalence survey in Nairobi using machine learning by Daniel M. Mwanga, Isaac C. Kipchirchir, George O. Muhua, Charles R. Newton, Damazo T. Kadengye, Abankwah Junior, Albert Akpalu, Arjune Sen, Bruno Mmbando, Charles R. Newton, Cynthia Sottie, Dan Bhwana, Daniel Mtai Mwanga, Damazo T. Kadengye, Daniel Nana Yaw, David McDaid, Dorcas Muli, Emmanuel Darkwa, Frederick Murunga Wekesah, Gershim Asiki, Gergana Manolova, Guillaume Pages, Helen Cross, Henrika Kimambo, Isolide S. Massawe, Josemir W. Sander, Mary Bitta, Mercy Atieno, Neerja Chowdhary, Patrick Adjei, Peter O. Otieno, Ryan Wagner, Richard Walker, Sabina Asiamah, Samuel Iddi, Simone Grassi, Sloan Mahone, Sonia Vallentin, Stella Waruingi, Symon Kariuki, Tarun Dua, Thomas Kwasa, Timothy Denison, Tony Godi, Vivian Mushi, William Matuja

“…Hyperparameters were tuned using 10-fold cross-validation, and model performance evaluated using metrics like Area under the curve (AUC), accuracy, Brier score and F1 score over 500 bootstrap samples of the test data. Results: Random forest (AUC = 0.98, accuracy = 0.95, Brier score = 0.06, and F1 = 0.94), extreme gradient boost (XGB) (AUC = 0.96, accuracy = 0.91, Brier score = 0.08, F1 = 0.90) and support vector machine (SVM) (AUC = 0.93, accuracy = 0.93, Brier score = 0.07, F1 = 0.92) were the best performing models (base learners). …”
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The alphavirus determinants of intercellular long extension formation by Caroline K. Martin, Judy J. Wan, Peiqi Yin, Thomas E. Morrison, William B. Messer, Vanessa Rivera-Amill, Jonathan R. Lai, Nina Grau, Félix A. Rey, Thérèse Couderc, Marc Lecuit, Margaret Kielian

“…Infection by alphaviruses including CHIKV and the closely related Semliki Forest virus (SFV) can induce the formation of filopodia-like intercellular long extensions (ILEs). …”
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The Status of Wild Grapevine (<i>Vitis vinifera</i> L. subsp. <i>sylvestris</i> (C.C. Gmel.) Hegi) Populations in Georgia (South Caucasus) by Gabriele Cola, Gabriella De Lorenzis, Osvaldo Failla, Nikoloz Kvaliashvili, Shengeli Kikilashvili, Maia Kikvadze, Londa Mamasakhlisashvili, Irma Mdinaradze, Ramaz Chipashvili, David Maghradze

“…Their main natural vegetations are forests and open woodlands, with some individuals in the Southeast found in steppes. …”
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Evaluating Fine-Scale Winter Nighttime PM_2.5 Concentrations and Population Exposure Using SDGSAT-1 Glimmer Imagery by Xuting Liu, Linlin Lu, Huadong Guo, Zilu Li, Xi Li, Muhammad Bilal

“…To address this limitation, an improved simple spatial random forest model was employed to estimate PM_2.5 concentrations using SDGSAT-1 Glimmer NTL data. …”
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Characterization of NOD-like receptor-based molecular heterogeneity in glioma and its association with immune micro-environment and metabolism reprogramming by Chunlin Lu, Huihao Ma, Jie Wang, Fei Sun, Fei Sun, Mingyang Fei, Ying Li, Jing Liu, Bin Dong

“…Single-cell sequencing analysis showed that the NLR gene was mainly active in myeloid cells within GBM. The random forest algorithm identified the crucial role of TRIP6 gene in NLR pathway. …”
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Carbon sequestration in different urban vegetation types in Southern Finland by L. Thölix, L. Backman, M. Havu, M. Havu, E. Karvinen, J. Soininen, J. Trémeau, O. Nevalainen, J. Ahongshangbam, L. Järvi, L. Järvi, L. Kulmala

“…In this study, we examined the performance of three models – the Jena Scheme for Biosphere–Atmosphere Coupling in Hamburg (JSBACH), the Lund–Potsdam–Jena General Ecosystem Simulator (LPJ-GUESS), and the Surface Urban Energy and Water Balance Scheme (SUEWS) – in estimating carbon sequestration rates in both irrigated and non-irrigated lawns, park trees (<i>Tilia cordata</i>), and urban forests (<i>Betula pendula</i>) in Helsinki, Finland. …”
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Development and validation of a biomarker-based prediction model for metastasis in patients with colorectal cancer: Application of machine learning algorithms by Erfan Ayubi, Sajjad Farashi, Leili Tapak, Saeid Afshar

“…Subsequently, the prediction model was developed and internally validated using five machine learning (ML) algorithms including lasso and elastic-net regularized generalized linear model (glmnet), k-nearest neighbors (kNN), support vector machine (SVM) with Radial Basis Function Kernel, random forest (RF), and eXtreme Gradient Boosting (XGBoost). …”
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Proteomic and serologic assessments of responses to mRNA-1273 and BNT162b2 vaccines in human recipient sera by Thomas E. Hickey, Uma Mudunuri, Heidi A. Hempel, Troy J. Kemp, Nancy V. Roche, Keyur Talsania, Brian A. Sellers, James M. Cherry, Ligia A. Pinto

“…Sera from male recipients of BNT162b2 demonstrated upregulated markers of immune response to doublestranded RNA and cell-cycle G(2)/M transition at 1-month. Random Forest analysis of proteomic data from pre-third-dose sera identified 85 markers used to develop a model predictive of robust or weaker IgG responses and antibody levels to SARS-CoV-2 spike protein at 6-months following boost; no specific markers were individually predictive of 6-month IgG response. …”
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Modeling the tropical fish community related to land uses and environmental determinants by N. Takarina, O. Chuan, M. Afifudin, L. Tristan, I. Arif, A. Adiwibowo

“…This study aims to assess and compare the environment and tropical fish community between disturbed and intact sites, represented by coasts dominated by settlements and coasts dominated by mangrove forests in West Java, Indonesia.METHODS: Fish sampling was carried out at two sites: Jakarta as the disturbed site and Subang as the intact site; water quality was also measured at these sites. …”
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Specific shoot formation in Miscanthus sacchariflorus (Poaceae) under different environmental factors and DNA passportization using ISSR markers by O. V. Dorogina, N. S. Nuzhdina, G. A. Zueva, Yu. A. Gismatulina, O. Yu. Vasilyeva

“…., which has good prospects for growing under the conditions of the forest-steppe area in Western Siberia. The goals of our study were: (1) to determine the peculiarities of shoot formation, (2) to assess the cellulose and lignin accumulation in M. sacchariflorus populations under different lighting conditions and (3) to perform a DNA passportization of the Miscanthus population by ISSR marking. …”
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Impacts of free-roaming dogs on spatiotemporal niches of native carnivores in Taiwan by Hsin-Cheng Ho, Tzung-Su Ding, Hsiao-Wei Yuan, Jo-Szu Tsai, Guo-Jing Weng, Yu-Hsiu Lin, Hsiang Ling Chen, Yu-Bo Huang, Shih-Ching Yen

“…However, crab-eating mongooses co-occurred with dogs spatially (SIF > 1), possibly due to their strong dependence on specific environments (i.e., forests around freshwater environments). We did not detect changes in spatiotemporal niche overlap among native carnivores. …”
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Data-driven insights into pre-slaughter mortality: Machine learning for predicting high dead on arrival in meat-type ducks by Chalita Jainonthee, Phutsadee Sanwisate, Panneepa Sivapirunthep, Chanporn Chaosap, Raktham Mektrirat, Sudarat Chadsuthi, Veerasak Punyapornwithaya

“…This classification was performed using machine learning (ML) algorithms such as Least Absolute Shrinkage and Selection Operator (LASSO), Support Vector Machine (SVM), Decision Tree (DT), Random Forests (RF), and Extreme Gradient Boosting (XGBoost). …”
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Unveiling new therapeutic horizons in rheumatoid arthritis: an In-depth exploration of circular RNAs derived from plasma exosomes by Guoqing Li, Hongyi Chen, Jiacheng Shen, Yimin Ding, Jingqiong Chen, Yongbin Zhang, Mingrui Tang, Nan Xu, Yuxuan Fang

“…A diagnostic xgboost model was developed using common hub genes identified by random forest and least absolute shrinkage and selection operator (LASSO), with intersection genes derived from overlapping machine learning-selected genes. …”
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El rol de los actores sociales y sus implicancias en la configuración territorial de Moquehue, Neuquén, Argentina by Celia Viviana Torrens, Elsie Marcela Jurio, Vanesa Yanina Cappelletti, Germán Gabriel Pérez, Daiana Elcira Cara Plá, Gimena Nathalie Cuevas, María Silvina Hauw, Pablo Alejandro Leyes

“…It aroses in the 40's, as a product of the development of cattle raising and forestation. Since these activities began, the permanent settlement and first commercial activities appeared, in order to cover the new demands. …”
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Assessing tick attachments to humans with citizen science data: spatio-temporal mapping in Switzerland from 2015 to 2021 using spatialMaxent by Lisa Bald, Nils Ratnaweera, Tomislav Hengl, Patrick Laube, Jürg Grunder, Werner Tischhauser, Netra Bhandari, Dirk Zeuss

“…Our study reveals that tick attachment to humans is particularly high at the edges of settlement areas, especially in sparsely built-up suburban regions with green spaces, while it is lower in densely urbanized areas. Additionally, forested areas near cities also show increased risk levels. …”
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Saberes forestales y cambio climático en cacao (Theobroma cacao), majo (Oenocarpus bataua) y asaí (Euterpe precatoria), en el norte de La Paz by Yuri Sandoval-Montes, Javier Nuñez Villalba, Carla Machicado Sanchez, Leonardo Cabrera

“…Esto, llevó a vincular el trabajo de campo con la recolección de información sobre saberes ancestrales, gestión forestal y cambio climático, relacionados con las especies investigadas: asaí (Euterpe precatoria), majo (Oenocarpus bataua) y cacao silvestre (Theobroma cacao); que se producen en contextos principalmente forestales. …”
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Evaluating the Performance of Artificial Intelligence-Based Large Language Models in Orthodontics—A Systematic Review and Meta-Analysis by Farraj Albalawi, Sanjeev B. Khanagar, Kiran Iyer, Nora Alhazmi, Afnan Alayyash, Anwar S. Alhazmi, Mohammed Awawdeh, Oinam Gokulchandra Singh

“…The meta-analysis indicated that the LLMs, such as ChatGPT-4 and other models, do not significantly differ in generating responses to queries related to the specialty of orthodontics. The forest plot revealed a Standard Mean Deviation of 0.01 [CI: 0.42–0.44]. …”
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