Assessment of rainfed wheat productivity in a changing climate in Irbid, Jordan using statistical downscaling and Random Forest Regression prediction under RCP4.5 & 8.5 pathways by Tasnim Dheif Allah Althalaj, Fayha Muhammed Al-Shibli, Amani Abdullah Alassaf

“…Future wheat yields were predicted using the Random Forest Regression model. The results revealed a non-significant increase in total annual precipitation of 1.8% and 13.8% and a rise in annual mean temperature of 5.4% and 2.7% for Irbid and Baqura stations, respectively during the baseline timeframe on which wheat yield increased by 21.3%. …”
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Ratio of Skeletal Muscle Mass to Visceral Fat Area Is a Useful Marker for Assessing Left Ventricular Diastolic Dysfunction among Koreans with Preserved Ejection Fraction: An Analysis of the Random Forest Model by Jin Kyung Oh, Yuri Seo, Wonmook Hwang, Sami Lee, Yong-Hoon Yoon, Kyupil Kim, Hyun Woong Park, Jae-Hyung Roh, Jae-Hwan Lee, Minsu Kim

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Estimation of 1 km Dawn–Dusk All-Sky Land Surface Temperature Using a Random Forest-Based Reanalysis and Thermal Infrared Remote Sensing Data Merging (RFRTM) Method by Yaohai Dong, Xiaodong Zhang, Xiuqing Hu, Jian Shang, Feng Zhao

“…Under this background, this study merged the observations of the Medium Resolution Spectrum Imager (MERSI-LL) on board the dusk–dawn-orbit Fengyun (FY)-3E satellite and Global Land Data Assimilation System (GLDAS) data to estimate dawn–dusk 1 km all-sky LST using a random forest-based method (RFRTM). The results showed that the model had good robustness, with an STD of 0.62–0.86 K of the RFRTM LST, compared with the original MERSI-LL LST. …”
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VGG-16, VGG-16 With Random Forest, Resnet50 With SVM, and EfficientNetB0 With XGBoost-Enhancing Bone Fracture Classification in X-Ray Using Deep Learning Models by Spoorthy Torne, Dasharathraj K. Shetty, Krishnamoorthi Makkithaya, Prasiddh Hegde, Manu Sudhi, Phani Kumar Pullela, T Tamil Eniyan, Ritesh Kamath, Staissy Salu, Pranav Bhat, S. Girisha, P. S. Priya

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Methodological Accounting of the Ecosystem Services Benefits of Community-based Restoration by Sony Baral, Aayoush Raj Regmi, Khagendra P. Joshi, Kishor Atreya

Subjects: “…Community Managed Forests…”
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Von Ungestörten Naturprozessen, Totem Holz und Angestammten Natur-Kultur-Ordnungen. Anmerkungen zur Kultur der „Neuen Wildnis“ by Harald Stahl

Subjects: “…Forests…”
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Floristic status of the Himalayan foothills in Haryana – vegetation composition, diversity and population structure by Dhiman Himanshi, Saharan Harikesh, Punia Harish, Jakhar Somveer

Subjects: “…tropical dry deciduous forests…”
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Funciones de forma de exponente variable para la estimación de diámetros a distintas alturas en eucalyptus grandis hill ex maiden. cultivado en la mesopotamia Argentina by H.E. Fassola, E. Crechi, A. Keller, S. Barth

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Caracterización de la oferta de recursos forestales del partido de Balcarce, provincia de Buenos Aires by M. MÓNACO, P. LACLAU

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Urban micro-forestry for climate adaptation in the smaller ports of the mid-Adriatic sea by Roberta Cocci Grifoni, Timothy D. Brownlee, Graziano Enzo Marchesani, Maria Federica Ottone

Subjects: “…micro-forestation…”
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"Avispa de la agalla del eucalipto", Leptocybe invasa Fischer & Lasalle (Hymenoptera: Eulophidae: Tetrastichinae), en Argentina by D.A. AQUINO, E.N. BOTTO, M.S. LOIÁCONO, P. PATHAUER

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Data normalization in machine learning by V. V. Starovoitov, Yu. I. Golub

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Classifying Food Items During an Eating Occasion: A Machine Learning Approach with Slope Dynamics for Windowed Kinetic Data by Ileana Baldi, Corrado Lanera, Mohammad Junayed Bhuyan, Paola Berchialla, Luca Vedovelli, Dario Gregori

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A Lightweight AI-Based Approach for Drone Jamming Detection by Sergio Cibecchini, Francesco Chiti, Laura Pierucci

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Multiplex genome editing for climate-resilient woody plants by Madhab Kumar Sen, Sunil Kanti Mondal, Rohit Bharati, Lucie Severova, Karel Šrédl

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Examination of empirical and Machine Learning methods for regression of missing or invalid solar radiation data using routine meteorological data as predictors by Konstantinos X Soulis, Evangelos E Nikitakis, Aikaterini N Katsogiannou, Dionissios P Kalivas

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Leveraging machine learning to predict residential location choice: A comparative analysis by Vahid Noferesti, Hamid Mirzahossein

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Enabling high-throughput quantitative wood anatomy through a dedicated pipeline by Jan Van den Bulcke, Louis Verschuren, Ruben De Blaere, Simon Vansuyt, Maxime Dekegeleer, Pierre Kibleur, Olivier Pieters, Tom De Mil, Wannes Hubau, Hans Beeckman, Joris Van Acker, Francis wyffels

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New Heuristics Method for Malicious URLs Detection Using Machine Learning by Maher Kassem Hasan

Subjects: “…Malicious URLs, Machine Learning, Cybersecurity, Logistic Regression, Random Forest, Support Vector Machines…”
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Nutritional contents and antimicrobial activity of the culinary-medicinal mushroom Leccinum scabrum by M.L. Gargano, G. Balenzano, G. Venturella, M.M. Cavalluzzi, N.P. Rotondo, G. Lentini, F. Cirlincione, G. Mirabile, E. Zapora, M. Wołkowycki, L. Pecoraro, V. Ferraro

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