Effects of Multiple Treatments of Formic Acid on the Chemical Properties and Structural Features of Bamboo Powder by Hui Qiao, Yue Liu, Yongshun Feng, Xin Pan, Xiaowei Zhuang, Jia Ouyang

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The Influence of Pain Severity and Interference on Satisfaction with Pain Management among Middle-Aged and Older Adults by Tamara A. Baker, Jessica L. Krok-Schoen, Melissa L. O’Connor, Amber K. Brooks

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Data-Driven versus Köppen–Geiger Systems of Climate Classification by Vajira Lasantha, Taikan Oki, Daisuke Tokuda

“…We applied three clustering algorithms—k-means, ISODATA, and unsupervised random forest classification—to a dataset comprising 10 climatic variables and elevation; we then compared the obtained results with those from the Köppen–Geiger classification system. …”
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Deep Learning Landscape Evaluation System Integrating Poetic Emotion and Visual Features by Chuanyuan Li

“…Experimental results demonstrate that the proposed “Emotion-Visual Features” model achieves an accuracy of 88.09% in emotion classification, significantly outperforming traditional methods such as Support Vector Machine (SVM) (64.51%) and Random Forest (RF) (81.47%), representing increases of approximately 36.5% and 8.1%, respectively. …”
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La communauté Nova Esperança (PR) : l'incorporation des droits des migrants internationaux et des réfugiés aux revendications des mouvements de lutte pour le logement au Brésil... by Elaine Cristina Schimtt Ragnini, Daniele Regina Pontes, José Ricardo Vargas de Faria, Márcio de Oliveira

“…In the opposite direction, in the community, residents preserve the forest, organize solid waste collection, build biodigesters and certain septic tank structures to reduce soil and groundwater contamination. …”
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Utilising AI technique to identify depression risk among doctoral students by Changhong Teng, Chunmei Yang, Qiushi Liu

“…Based on the data from the 2019 Nature Global Doctoral Student Survey, we first screened 13 highly relevant features from a total of 37 features potentially related to the risk of depression among doctoral students by Random Forest algorithm. Subsequently, we trained the optimal prediction model to predict the doctoral students with depression risk using a Multilayer Perceptron (MLP), achieving an accuracy of 89.09% on the test set. …”
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Temporal Variation of N Isotopic Composition of Decomposing Legume Roots and Its Implications to N Cycling Estimates in N15 Tracer Studies in Agroforestry Systems by Riina Jalonen, Jorge Sierra

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Espacialização dos serviços ecossistêmicos na escala local em um contexto de desmatamento: que abordagens estatísticas e quais dados? by Solen Le Clec'h, Johan Oszwald, Simon Dufour, Thierry Desjardins, Nicolas Jegou, Michel Grimaldi

“…O Millenium Ecosystem Assessment (MEA) e os REDD (Reducing Emissions from Deforestation and Forest Degradation) defendem o desenvolvimento de novas abordagens para quantificar e espacializar os serviços ecossistêmicos (SEs). …”
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Current Situation and Developing Trend of Fatigue Life Prediction of Components based on Data-driven by Xiuhua Zhang, Huaiju Liu, Caichao Zhu, Peitang Wei, Shaojie Wu

“…The application of these methods in the life prediction of components is introduced，including neural network，support vector machine，random forest and deep learning，and the characteristics of each method are summarized，and the developing trend of the life prediction method of components based on data-driven is discussed. …”
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Leveraging Large Language Models for Enhanced Classification and Analysis: Fire Incidents Case Study by Eman H. Alkhammash

“…We evaluate this approach using two benchmark datasets: the Forest Fire dataset and the DFAN dataset. The results indicate that ChatGPT has significant potential for timely fire classification, making it a promising tool to complement existing fire detection technologies. …”
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Dickens and the American Millennium: The Uniformitarian Argument of Martin Chuzzlewit by Nancy Aycock Metz

“…He depicts human beings as small and vulnerable against ancient earthscapes of ocean, plain, forest, and wilderness, and exposes as myopic the narcissism of the vaunting, needy ego, with its self-centered construction of the world. …”
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La mise en politique des services environnementaux : la genèse du Programme de paiements pour services environnementaux au Costa Rica by Jean-Francois Le Coq, Denis Pesche, Thomas Legrand, Géraldine Froger, Fernando Saenz Segura

“…In this regard, Costa Rica is considered as a pioneer since it has integrated the ES notion in its forest law since 1996, setting the ground for the implementation of the national Program of PES (PPES). …”
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EPIDEMIOLOGICAL MONITORING OF AVIAN INFLUENZA IN THE REPUBLIC OF CRIMEA by D. V. Gadzevich, S. I. Danilchenko, S. G. Yerofeyev, M. A. Pasunkina, A. B. Grinchenko, V. N. Irza, M. S. Volkov, A. V. Varkentin

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Cloud Node Auto-Scaling System Automation Based on Computing Workload Prediction by Tri Fidrian Arya, Reza Fuad Rachmad, Achmad Affandi

“…From the results of this research, it was found that the stacking algorithm with the base learner Random Forest and XGBoost had better performance in producing predictive regression. …”
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Effect of Growth Rate on Physical and Mechanical Properties of 4-year-old Acacia mangium Wood from Wonogiri, Central Java by Fanny Hidayati, Ramadhani Ayu Purnama, Harry Praptoyo, Sri Sunarti

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An Optimal Routing Framework for an Integrated Urban Power–Gas–Traffic Network by Mohammad Jadidbonab, Hussein Abdeltawab, Yasser Abdel-Rady I. Mohamed

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A valorização das “taipas de pedras” como estratégia para a conservação da paisagem dos Campos de Altitude em São Francisco de Paula/ RS, Brasil by Ismael Jesus Klein, Márcia dos Santos Ramos Berreta

“…The objectives of this research are: a) to map the taipas in the territory of the municipality of São Francisco de Paula in order to spatially highlight the marks in the landscape, characterizing them by their uses; b) to evaluate the relationship of the preservation of the taipas as a cultural heritage with the conservation of the Campos de Altitude of the Atlantic Forest, constituting the same landscape of the Campos de Cima da Serra. …”
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Etude de cas : la bipédie des chimpanzés de la communauté de Sebitoli, Ouganda by Lise Pernel, Brigitte Senut, Dominique Gommery, John Paul Okimat, Edward Asalu, Sabrina Krief

“…Ten instances were related to vigilant postures at the edge of their forest habitat where there are cornfields guarded by farmers and 18 show bipedal behaviours associated with foraging for honey using stick-like tools. …”
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A Prediction Model Optimization Critiques through Centroid Clustering by Reducing the Sample Size, Integrating Statistical and Machine Learning Techniques for Wheat Productivity by Muhammad Islam, Farrukh Shehzad

“…This research is taken as follows: firstly three more effective numerical optimized datasets are generated (D1, D2, and D3) from D1 by taking the centroid points of features which decrease the sample size; secondly MLM is integrated with the traditional statistical models (TSMs) for multiple linear regression (MLR), and thirdly decision tree regression (DTR) and random forest regression (RFR) are deployed to get the optimized models able to predict the wheat productivity well with 75% datasets to train and 25% to test the model using the evaluation metrics (R2, RMSE), information criterion (AIC) with weights (AICW), evidence ration (E.R), and decompositions of prediction error. …”
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CLIMATE CHANGE AND LAND-BASED CONFLICT: THE IMPACT ON FOOD SECURITY IN NIGERIA by OGUIKE MIRIAM ADAEZE UJU

“…The aftermath of climate change is prominent on agricultural production such as livestock, crop, forest, fishery, nutrition, health and the general livelihood of the people. …”
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