Predicting ixodid tick distribution in Tamil Nadu domestic mammals using ensemble species distribution models by Ayyanar Elango, Hari Kishan Raju, Ananganallur Nagarajan Shriram, Ashwani Kumar, Manju Rahi

“…Haemaphysalis spinigera, the primary Kyasanur Forest Disease vector, was predicted along the Western Ghats using the MaxEnt model. …”
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Determining the status of ecosystem degradation trends and their implications for ecological integrity in the southern African grassland biome by L.R. Vukeya, T.M. Mokotjomela, N. Pillay

“…We recorded eleven prominent land cover use classes dominated by agricultural activities accounting for 31.9 % (365,629 km2) of which 27.4 % was cultivated area, and 4.5 % was forest plantation, and human settlement covered 4.2 %. …”
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Identification of Potential lncRNAs and miRNAs as Diagnostic Biomarkers for Papillary Thyroid Carcinoma Based on Machine Learning by Fei Yang, Jie Zhang, Baokun Li, Zhijun Zhao, Yan Liu, Zhen Zhao, Shanghua Jing, Guiying Wang

“…Optimal diagnostic lncRNA and miRNA biomarkers were identified via random forest. The regulatory network between optimal diagnostic lncRNA and mRNAs and optimal diagnostic miRNA and mRNAs was identified, followed by the construction of ceRNA network of lncRNA-mRNA-miRNA. …”
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Factors and Reasons Associated with Hesitating to Seek Care for Migraine: Results of the OVERCOME (US) Study by Robert E. Shapiro, Eva Jolanda Muenzel, Robert A. Nicholson, Anthony J. Zagar, Michael L. Reed, Dawn C. Buse, Susan Hutchinson, Sait Ashina, Eric M. Pearlman, Richard B. Lipton

“…Supervised machine learning (random forest, least absolute shrinkage and selection operator) identified factors associated with hesitation; logistic regression models assessed association of factors on hesitation. …”
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Analisis Perubahan Luas Lahan Hijau Di Kota Bogor Dengan Citra Landsat 8 Menggunakan Normalized Difference Vegetation Index by Asep Denih, Irma Anggraeni, Runanto

“…The use of land for infrastructure has a significant impact on the reduction of agricultural land and forests, which can automatically reduce the level of vegetation density. …”
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Estates in Slavonia after World War II: Confiscation of the property of Slavonian nobility after World War II by Gardaš Miro A., Repić Marko A.

“…Some large estates covered vast areas of forest and agricultural land, yielding significant income. …”
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Genome assembly of an endemic butterfly (Minois aurata) shed light on the genetic mechanisms underlying ecological adaptation to arid valley habitat by Wenqian Hu, Yi Wang, Xiaoxiao Chen, Jialong Huang, Jingge Kuang, Lei Wang, Kangshan Mao, Liang Dou

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The Effects of Exercise on Inhibitory Function Interventions for Patients With Major Depressive Disorder (MDD): A Systematic Review and Meta‐Analysis by Zhihui Xu, Cong Liu, Peng Wang, Xing Wang, Yuzhang Li

“…Evidence quality was assessed with the GRADE profiler software, and effect sizes were combined using Stata 17.0 software to create forest plots, test for publication bias, and perform sensitivity analyses. …”
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THE ROLE OF N. I. VAVILOV AND VIR’S SCIENTISTS IN DESERT RECLAMATION by N. I. Dzyubenko, A. A. Kochegina

“….), as well as evaluation of their suitability for rainfed and irrigated agriculture, productivity of natural pastures, hayfields, saxaul forests. Valuable food, fodder and technical plants were studied. …”
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Comparison of different GnRH compounds on fertility outcomes in ovulation synchronized and presynchronized beef cows by Nicola Oosthuizen, Lucas M. Goncalves, Samir Burato, Molly S. Smith, Kelsey M. Harvey, Graham Cliff Lamb, Graham Cliff Lamb, Pedro L. P. Fontes

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A Machine Learning Model for Predicting Prognosis in HCC Patients With Diabetes After TACE by Wu L, Chen L, Zhang L, Liu Y, Ouyang D, Wu W, Lei Y, Han P, Zhao H, Zheng C

“…The final random survival forest (RSF) model exhibited excellent performance in the internal validation cohort, with areas under the ROC curve (AUCs) of 0.824, 0.853, and 0.810 in the 1-, 2-, and 3-year survival groups, respectively. …”
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Bacteriocin-Producing Staphylococci and Mammaliicocci Strains for Agro-Food and Public Health Applications with Relevance of Micrococcin P1 by Rosa Fernández-Fernández, Carmen Lozano, Allelen Campaña-Burguet, Carmen González-Azcona, Tamara Álvarez-Gómez, Rocío Fernández-Pérez, Raquel Peña, Myriam Zarazaga, Jaime Carrasco, Carmen Torres

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Clinical Response and Transfusion Reactions of Sheep Subjected to Single Homologous Blood Transfusion by Rejane Santos Sousa, Antonio Humberto Hamad Minervino, Carolina Akiko Sato Cabral Araújo, Frederico Augusto Mazzocca Lopes Rodrigues, Francisco Leonardo Costa Oliveira, Clara Satsuki Mori, Janaina Larissa Rodrigues Zaminhan, Thiago Rocha Moreira, Isadora Karolina Freitas Sousa, Enrico Lippi Ortolani, Raimundo Alves Barrêto Júnior

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Assembly mechanisms, not species pool, shape β-diversity of soil methanotrophic communities in steppes of China by Yongping Kou, Zhe Feng, Huan Li, Yanjiao Liu, Yanjiao Liu, Lin Xu, Lin Xu, Xiangzhen Li

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Ten simple rules for working with high resolution remote sensing data by Mahood, Adam L., Joseph, Maxwell B., Spiers, Anna I., Koontz, Michael J., Ilangakoon, Nayani, Solvik, Kylen K., Quarderer, Nathan, McGlinchy, Joe, Scholl, Victoria M., St. Denis, Lise A., Nagy, Chelsea, Braswell, Anna, Rossi, Matthew W., Herwehe, Lauren, Wasser, Leah, Cattau, Megan E., Iglesias, Virginia, Yao, Fangfang, Leyk, Stefan, Balch, Jennifer K.

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WATER versus WATER II 5‐year update: Comparing Aquablation therapy for benign prostatic hyperplasia in 30–80‐cm3 and 80–150‐cm3 prostates by Mohamad Baker Berjaoui, David‐Dan Nguyen, Saud Almousa, Karim Daher, Neil Barber, Mo Bidair, Peter Gilling, Paul Anderson, Kevin C. Zorn, Gopal Badlani, Mitch Humphreys, Steven Kaplan, Ronald P. Kaufman Jr, Dean Elterman, Mihir Desai, Claus Roehrborn, Naeem Bhojani

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<i>‘Changing the Focus’</i>: Co-Design of a Novel Approach for Engaging People with Dementia in Physical Activity by Claudia Meyer, Den-Ching A. Lee, Michele Callisaya, Morag E. Taylor, Katherine Lawler, Pazit Levinger, Susan Hunter, Dawn C. Mackey, Elissa Burton, Natasha Brusco, Terry Haines, Christina L. Ekegren, Amelia Crabtree, Keith D. Hill

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Effects of mode of reproduction on genetic polymorphism and divergence in wild yams (Dioscoreaceae: Dioscorea) by Xin Wang, Qing-Hong Feng, Zhi-Hua Zeng, Zhi-Qiang Zhang, Jie Cai, Gao Chen, De-Zhu Li, Hong Wang, Wei Zhou

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Co-infection of SARS‐CoV‐2 and influenza A/B among patients with COVID-19: a systematic review and meta-analysis by Monireh Golpour, Hossein Jalali, Reza Alizadeh-Navaei, Masoumeh Rezaei Talarposhti, Tahoora Mousavi, Ali Asghar Nadi Ghara

“…A random effects model was used to determine prevalence rates, and a forest plot diagram was used to present results with 95% confidence intervals. …”
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Advances in machine learning applications to resource technology for organic solid waste by Hongzhi MA, Yichan LIU, Jihua ZHAO, Fan FEI, Ming GAO, Qunhui WANG

“…This study explores a range of commonly used ML models, including artificial neural network (ANN), support vector machine (SVM), decision tree, random forest, and extreme gradient boosting (XGBoost). These models have been used to predict waste characteristics, classify diverse types of OSW, and optimize treatment parameters across various processes, such as thermochemical conversion, anaerobic digestion, and aerobic composting. …”
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