Effects of poultry by-product meal and complete replacement of fish oil with alternative oils on growth performance and gut health of rainbow trout (Oncorhynchus mykiss): a FEEDNET... by Imam Hasan, Simona Rimoldi, Biagina Chiofalo, Marianna Oteri, Micaela Antonini, Rosangela Armone, Violeta Kalemi, Laura Gasco, Genciana Terova

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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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Distribution Characteristics and Coupling Relationship Between Soil Erosion and Hydrologic and Sediment Connectivity in Changchong River Basin by LI Jianing, ZHANG Hongli, TIAN Changyuan, ZHANG Yi, ZHA Tonggang

“…[Results] (1) The average soil erosion modulus in the Changchong River Basin was 380 t/(hm2·a), and the soil erosion intensity was mainly slight erosion, which gradually intensified from north to south. (2) The high hydrological and sediment connectivity is mainly distributed in cultivated land, and the opposite is true in forest and grassland land. The higher value is mainly located in the low-lying flat area with low slope and easy water accumulation, while the lower value is mainly in the steep mountainous area. (3) Topographic factors and land use types significantly affected soil erosion and hydrological and sediment connectivity (p<0.01). …”
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Evaluating the impact of roof rainwater harvesting on hydrological connectivity and urban flood mitigation by Quang-Oai Lu, Reza Bahramloo, Jesús Rodrigo-Comino, Jun Wang, Ali Talebi, Quynh Thi Phuong Tran, Afshin Ghahramani, Mehdi Sepehri

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Evaluation of the impact of the environment on the genetic improvement of the buffalo species by Rafael Emilio Rincón-Márquez, Néstor Simón Montiel-Urdaneta, José Raúl Pérez-González

“…On 5 May 2004, a buffalo farm was started in Finca, Florida, in Zulia state’s arid tropical forest zone (DTFZ). Furthermore, on 9 May 2012, the herd was transferred to Finca Miraflores, located in a premontane rainforest zone (PRZ) in Mérida state. …”
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Glossina pallidipes Density and Trypanosome Infection Rate in Arba Minch Zuria District of Gamo Zone, Southern Ethiopia by Ephrem Tora, Wasihun Seyoum, Firew Lejebo

“…Relatively higher Glossina pallidipes and biting flies, respectively, were caught in a wood-grass land (15.87 F/T/D and 3.69 F/T/D) and riverine forest (15.13 F/T/D and 3.42 F/T/D) than bush land vegetation types (13.87 F/T/D and 1.76 F/T/D). …”
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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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<i>Broussonetia papyrifera</i> Extract Can Be Used as a Raw Material Source for a Sterility Agent for <i>Microtus fortis</i> by Shuangye Wang, Tian Lan, Yunlin Zhao, Wanfu Liu, Tian Huang, Meiwen Zhang, Zhiyuan Hu, Zhenggang Xu

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Ethnobotanical survey of plants locally used in the control of termite pests among rural communities in northern Uganda by Betty C. Okori, Christine Oryema, Robert Opiro, Acur Amos, Gilbert I. Obici, Karlmax Rutaro, Geoffrey M. Malinga, Eric Sande

“…Abstract Background Termites are the most destructive pests in many agricultural and forest plantations in Uganda. Current control of termites mostly relies on chemical pesticides. …”
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Microsatellite instability and somatic gene variant profile in solid organ tumors by Ibrahim Halil Erdogdu, Seda Orenay-Boyacioglu, Olcay Boyacioglu, Nesibe Kahraman-Cetin, Habibe Guler, Merve Turan, Ibrahim Meteoglu

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Identification of EGR1 as a Key Diagnostic Biomarker in Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD) Through Machine Learning and Immune Analysis by Wu X, Pan T, Fang Z, Hui T, Yu X, Liu C, Guo Z, Liu C

“…We employed three machine learning methods—LASSO, SVM, and Random Forest (RF)—to identify hub genes associated with MASLD. …”
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Risk factors and machine learning prediction models for intrahepatic cholestasis of pregnancy by Yingchun Ren, Xiaoying Shan, Gengchao Ding, Ling Ai, Weiying Zhu, Ying Ding, Fuzhou Yu, Yun Chen, Beijiao Wu

“…Thirteen machine learning techniques, including Random Forest, Support Vector Machine, and Artificial Neural Network, were employed. …”
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Marine ecological information prediction by using adjacent location spatiotemporal deep learning model with ensemble learning techniques by Yue-Shan Chang, Shu-Ting Huang, Basanta Haobijam, Satheesh Abimannan, Takayuki Kushida

“…In this study, we evaluate the proposed model's performance using metrics such as Mean Absolute Error (MAE), Root Mean Square Error (RMSE), and the coefficient of determination (R2), alongside comparative analyses against SVR (Support Vector Regression), AdaBoost, and RF (Random Forest) models. The results show that STH-MLR-LSTM achieves the best average prediction results across the six locations. …”
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Assessing national exposure to and impact of glacial lake outburst floods considering uncertainty under data sparsity by H. Chen, Q. Liang, J. Zhao, S. B. Maharjan

“…In the innovative framework, multi-temporal imagery is utilised with a random forest model to extract glacial lake water surfaces. …”
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Sunlight exposure practice and its associated factors among infants in Ethiopia, systematic review and meta-analysis. by Fanos Yeshanew Ayele, Natnael Kebede, Asnakew Molla Mekonen, Mengistu Mera Mihiretu, Yawkal Tsega, Elsabeth Addisu, Niguss Cherie, Tesfaye Birhane, Chala Daba, Ahmed Hussien Asfaw, Zinet Abegaz, Abel Endawekie, Anissa Mohammed, Dagnachew Melak, Fekade Demeke Bayou, Husniya Yasin, Aregash Abebayehu Zerga, Fikre Bayu Gebeyehu, Birhanu Wagaye

“…Meta-analysis was conducted by using STATA 17 software. Forest plots were used to present the pooled prevalence of good sunlight exposure practices. …”
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Assessing the Effects of Land Use Practices on the Environment in Rugarama North Ntungamo District. by Turyahabwe, Deus

“…There is need for policy making concerning environmental conservation measures through a forestation thus discouraging or reducing deforestation and education of masses should be encouraged relating to the efficient use of land use practices on environment through sensitizing people on dangers of mining and mining related effects.…”
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Models based on dietary nutrients predicting all-cause and cardiovascular mortality in people with diabetes by Fang Wang, Yukang Mao, Jinyu Sun, Jiaming Yang, Li Xiao, Qingxia Huang, Chenchen Wei, Zhongshan Gou, Kerui Zhang

“…The least absolute shrinkage and selection operator (LASSO) regression and random forest (RF) algorithm were applied to identify key mortality-related dietary factors, which were subsequently incorporated into risk prediction nomogram models. …”
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A new signature associated with anoikis predicts the outcome and immune infiltration in nasopharyngeal carcinoma by Yonglin Luo, Wenyang Wei, Yaxuan Huang, Jun Li, Weiling Qin, Quanxiang Hao, Jiemei Ye, Zhe Zhang, Yushan Liang, Xue Xiao, Yonglin Cai

“…A risk score based on t 3-ARG feature was developed to stratify NPC patients into two distinct risk groups using the optimal model, Random Survival Forest. NPC patients with high-risk scores experienced notably shorter progression-free survival in comparison to those with low-risk scores. …”
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Combining UAV Remote Sensing with Ensemble Learning to Monitor Leaf Nitrogen Content in Custard Apple (<i>Annona squamosa</i> L.) by Xiangtai Jiang, Lutao Gao, Xingang Xu, Wenbiao Wu, Guijun Yang, Yang Meng, Haikuan Feng, Yafeng Li, Hanyu Xue, Tianen Chen

“…A two-layer ensemble model is built to quantitatively estimate leaf nitrogen using the stacking ensemble learning (Stacking) principles. Random Forest (RF), Adaptive Boosting (ADA), Gradient Boosting Decision Trees (GBDT), Linear Regression (LR), and Extremely Randomized Trees (ERT) are among the basis estimators that are integrated in the first layer. …”
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