Machine learning insights into early mortality risks for small cell lung cancer patients post-chemotherapy by Min Liang, Min Liang, Fuyuan Luo

“…Predictive modeling was performed using advanced machine learning algorithms, including XGBoost, Multilayer Perceptron, K-Nearest Neighbor, and Random Forest. Additionally, traditional models, such as logistic regression and AJCC staging, were employed for comparison. …”
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How does playfulness (re)frame the world? Evidence for selective cognitive and behavioral redirecting in times of adversity by Xiangyou Shen, Zoe Crawley

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Construction of the Giant Panda National Park corridor and restoration of edible bamboo: A case study of from the Chengdu area region by Xing Wang, Yu-Ting Yang, Yan Wu, Yu Xie, Pei Tu, Mei-Ling Liu, Mei-Jiao Zhang, Tao Lu

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Species-Level Saltmarsh Vegetation Fractional Cover Estimation Based on Time Series Sentinel-2 Imagery with the Assistance of Sample Expansion by Jinghan Sha, Zhaojun Zhuo, Qingqing Zhou, Yinghai Ke, Mengyao Zhang, Jinyuan Li, Yukui Min

“…We chose the Yellow River Delta as the study area and utilized the time series Sentinel-2 imagery and random forest regression model for species-level FVC estimation with the assistance of FVC-WGAN-generated samples. …”
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Tunnel squeezing prediction based on partially missing dataset and optimized machine learning models by Peng Guan, Guangzhao Ou, Feng Liang, Weibang Luo, Qingyong Wang, Chengyuan Pei, Xuan Che

“…To achieve precise prediction of tunnel squeezing, this study constructed six reliable machine learning (ML) classification models for this purpose, including Support Vector Machine (SVM), Random Forest (RF), Decision Tree (DT), Extreme Gradient Boosting (XGBoost), Light Gradient Boosting Machine (LGBM), and K-Nearest Neighbors (KNN). …”
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Multiple PM Low-Cost Sensors, Multiple Seasons’ Data, and Multiple Calibration Models by S Srishti, Pratyush Agrawal, Padmavati Kulkarni, Hrishikesh Chandra Gautam, Meenakshi Kushwaha, V. Sreekanth

“…The ML models included (i) Decision Tree, (ii) Random Forest (RF), (iii) eXtreme Gradient Boosting, and (iv) Support Vector Regression (SVR). …”
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Monitoring Urban Expansion and Loss of Agriculture on the North Coast of West Java Province, Indonesia, Using Google Earth Engine and Intensity Analysis by Laju Gandharum, Djoko Mulyo Hartono, Asep Karsidi, Mubariq Ahmad

“…Landsat data and a robust random forest (RF) classifier available in GEE were chosen for producing LULC maps. …”
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Habitat use and spatial distribution patterns of endangered pheasants on the southern slopes of the HimalayasFigshare by Kai Zhao, Ning Wang, Jiliang Xu, Shan Tian, Yanyun Zhang

“…The results indicate that Satyr Tragopan is primarily distributed in riverine forests at altitudes between 2700 m and 3600 m. Its occupancy probability was significantly influenced by altitude, human activity disturbances, and forest cover proportion. …”
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Effect of Fertilization with Ash from Biomass Combustion on the Fatty Acid Composition of Winter Rapeseed Oil by Ewa Szpunar-Krok, Anna Wondołowska-Grabowska

“…The response to this challenge is a three-year field experiment (2018–2021) where the effect of fertilization with ash from forest biomass (approx. 70%) and agricultural biomass (approx. 30%), and soil type (Gleyic Chernozem and Haplic Luvisol), on the fatty acid (FA) profile of winter rape seeds (<i>Brassica napus</i> L. ssp. …”
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Conflits armés et environnement by Al–Hamandou Dorsouma, Michel-André Bouchard

“…From degradation of natural resources, such as water, agricultural land, forest and biodiversity to collateral environmental damages such as oil spills, and finally to the collapse of environmental governance, environmental impacts of conflicts may seriously affect post conflict rehabilitation and reconstruction and may sustain conditions of personal civil unrest afterwards. …”
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Knowledge and Awareness of Medical and Dental Students About Oral Cancer Risk Factors: A Systematic Review and Meta-Analysis by Lilibeth-Stephania Escoto-Vasquez MSc, Mario Alberto Alarcón-Sánchez MSc, Ruth Rodríguez-Montaño PhD, Julieta Sarai Becerra-Ruiz PhD, Sarah Monserrat Lomelí-Martínez PhD, Artak Heboyan PhD

“…Meta-analysis results were systematically illustrated in a forest plot and expressed as odds ratio with 95% confidence interval. …”
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Reconstruction of radiation-induced damage in patients with facial hemangiomas using free anterolateral thigh flap by Trần Thiết Sơn, Phan Tuấn Nghĩa, Nguyễn Hữu Trọng, Phạm Thị Việt Dung, Tạ Thị Hồng Thuý, Christopher Runyan

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Analysis of Roadside Land Use Changes and Landscape Ecological Risk Assessment Based on GF-1: A Case Study of the Linghua Expressway by Mengdi Wen, Liangliang Zhang, Huawei Wan, Peirong Shi, Longhui Lu, Zixin Zhao, Zhiru Zhang, Jinhui Wu

“…The results revealed a decrease in cropland and forest land, accompanied by an increase in the grassland and road areas. …”
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Long term study on blood glucose levels in wintering great tits Parus major in sites differing in artificial food availability by Adam Kaliński, Michał Glądalski, Marcin Markowski, Joanna Skwarska, Jarosław Wawrzyniak, Jerzy Bańbura, Piotr Zieliński

“…We showed that both females and males were characterised by significantly higher glucose levels at the study site, which was characterised by the high accessibility to human-provided food sources (forest clearing) than at the site with low and irregular artificial feeding. …”
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Evaluating Urban Sewage Sludge Distribution on Agricultural Land Using Interpolation and Machine Learning Techniques by Andrea Lazzari, Simone Giovinazzo, Giovanni Cabassi, Massimo Brambilla, Carlo Bisaglia, Elio Romano

“…Interpolation methods, such as spline, cubic spline, and inverse distance weighting (IDW) were used to model the distribution, while machine learning models (k-nearest neighbors, random forest, neural networks) classified spatial patterns. …”
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CryoProtect: A Web Server for Classifying Antifreeze Proteins from Nonantifreeze Proteins by Reny Pratiwi, Aijaz Ahmad Malik, Nalini Schaduangrat, Virapong Prachayasittikul, Jarl E. S. Wikberg, Chanin Nantasenamat, Watshara Shoombuatong

“…This study addresses this issue by predicting AFPs directly from sequence on a large set of 478 AFPs and 9,139 non-AFPs using machine learning (e.g., random forest) as a function of interpretable features (e.g., amino acid composition, dipeptide composition, and physicochemical properties). …”
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Automation of image processing through ML algorithms of GRASS GIS using embedded Scikit-Learn library of Python by Polina Lemenkova

“…Supervised learning models of GRASS GIS were tested and compared including the Gaussian Naive Bayes (GaussianNB), Multi-layer Perceptron classifier (MLPClassifier), Support Vector Machines (SVM) Classifier, and Random Forest Classifier (RF). Though each algorithms was developed to serve different objectives of ML applications in RS data processing, their technical implementation and practical purposes present valuable approaches to cartographic data processing and image analysis. …”
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Mineralization Dynamics of Pineapple Harvest Residues as Affected by Placement on Acrisoil in Benin by Elvire Line Sossa, Codjo Emile Agbangba, Pierre Gbènoukpo Tovihoudji, Jamali Oladédji Ayifimi, Bana Donsaré Nadège Bouko, Oloushègun Isidore Achille Falolou, Guillaume Lucien Amadji

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QTL‐Based Evidence of Population Genetic Divergence in Male Territorial Aggressiveness of the Japanese Freshwater Threespine Stickleback by Haruka Yamazaki, Seiichi Mori, Osamu Kishida, Atsushi J. Nagano, Tomoyuki Kokita

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Nitrogen Cycling in a Norway Spruce Plantation in Denmark — A SOILN Model Application Including Organic N Uptake by Claus Beier, Henrik Eckersten, Per Gundersen

“…A dynamic carbon (C) and nitrogen (N) circulation model, SOILN, was applied and tested on 7�years of control data and 3 years of manipulation data from an experiment involving monthly N addition in a Norway spruce (Picea abies, L. Karst) forest in Denmark. The model includes two pathways for N uptake: (1) as mineral N after mineralisation of organic N, or (2) directly from soil organic matter as amino acids proposed to mimic N uptake by mycorrhiza. …”
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