Mycotoxicological monitoring. Part 1. Complete mixed feed for pigs and poultry (2009–2018) by G. P. Kononenko, A. A. Burkin, Ye. V. Zotova

“…General features of pig and poultry feed contamination as well as usefulness of regional surveys for intoxication risk prediction are described. …”
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Zero-Shot Remote Sensing Scene Classification Based on Automatic Knowledge Graph and Dual-Branch Semantic Correlation Supervision by Chao Wang, Jiajun Yang, Tanvir Ahmed, Yang Zhao, Tong Zhang, Bing Sun, Tao Xie, Jie Wang, Tianyu Chen

“…” This method starts with the scenes and automates the construction of a knowledge graph, “scene-landscape-ground objects” (ASLG-KG), by analyzing the composition and spatial distribution of ground objects in local regions. On this basis, the dual-branch semantic correlation supervised zero-shot remote sensing scene classification network (DBSS) supervises the mapping of semantic features to the visual space via both global and local branches, ensuring the visual space reflects the correlation structure of the semantic space. …”
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Staphylococcus aureus susceptibilities from wounds of patients who use illicit fentanyl by Drew T. Dickinson, Stephen Saw, Lauren Dutcher, Christina Maguire, Adrienne Terico, Margaret Lowenstein, Sonal Patel

“…Additional study is needed of PWUF in other regions. …”
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Integrated Machine Learning Approaches for Landslide Susceptibility Mapping Along the Pakistan–China Karakoram Highway by Mohib Ullah, Haijun Qiu, Wenchao Huangfu, Dongdong Yang, Yingdong Wei, Bingzhe Tang

“…The effectiveness of data-driven landslide susceptibility mapping relies on data integrity and advanced geospatial analysis; however, selecting the most suitable method and identifying key regional factors remains a challenging task. To address this, this study assessed the performance of six machine learning models, including Convolutional Neural Networks (CNNs), Random Forest (RF), Categorical Boosting (CatBoost), their CNN-based hybrid models (CNN+RF and CNN+CatBoost), and a Stacking Ensemble (SE) combining CNN, RF, and CatBoost in mapping landslide susceptibility along the Karakoram Highway in northern Pakistan. …”
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An Automatic Decision-Level Fusion Rice Mapping Method of Optical and SAR Images Based on Cloud Coverage by Xueqin Jiang, Song Gao, Huaqiang Du, Shenghui Fang, Yan Gong, Ning Han, Yirong Wang

“…The method effectively utilizes clear-sky pixels in images containing clouds and leverages the advantages of SAR features in heavily clouded regions. We tested and validated the Auto-OSDF method in Xiangyin County, Hunan Province, and analyzed the impact of different cloud coverage levels (10%–50%) on the accuracy of rice mapping based on this method. …”
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Next-generation sequencing and immuno-informatics for designing a multi-epitope vaccine against HSV-1-induced uveitis by He Cao, Zhi Cao, Yue Han, Jing Shan

“…These epitopes were systematically evaluated for conservancy, immunogenicity, non-allergenicity, non-glycosylated regions, and binding affinities. A multi-epitope construct was designed, incorporating these epitopes along with an adjuvant, a PADRE sequence, and suitable linkers. …”
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Chemical Changes Under Heat Stress and Identification of Dendrillolactone, a New Diterpene Derivative with a Rare Rearranged Spongiane Skeleton from the Antarctic Marine Sponge <i>... by Andrea Prófumo, Conxita Avila, Adele Cutignano

“…The waters around the western Antarctic Peninsula are experiencing fast warming due to global change, being among the most affected regions on the planet. This polar area is home to a large and rich community of benthic marine invertebrates, such as sponges, tunicates, corals, and many other animals. …”
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Evaluation of EGFR-TKIs and ICIs treatment stratification in non-small cell lung cancer using an encrypted multidimensional radiomics approach by Xingping Zhang, Xingting Qiu, Yue Zhang, Qingwen Lai, Yanchun Zhang, Guijuan Zhang

“…We developed one clinical model and three radiomics models based on clinical factors and radiomics scores (RadScore) of three distinct regions to evaluate treatment response. Additionally, an integrated radiomics-clinical model was created by combining clinical factors with RadScore. …”
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Microbiota, parasitic infections and their relationship with nutritional status and neurocognitive functioning in children from Ecuador—Proyecto Guagua: research protocol for a cro... by Sandra Victoria Abril-Ulloa, Tannia Valeria Carpio-Arias, Renata Alejandra Alvarado-Barba, Cristina Gabriela Ríos-Romero, Pamela Vinueza-Veloz, Sueny Paloma Lima-dos-Santos, Sueny Paloma Lima-dos-Santos, Igor Eduardo Astudillo-Skliarova, Igor Eduardo Astudillo-Skliarova, Ruth Irene Arias-Gutiérrez, Manuel Pérez-Quintana, Henk-Jan Boele, Henk-Jan Boele, Henk-Jan Boele, María Fernanda Vinueza-Veloz

“…It is being carried out in several counties across different geographical regions in Ecuador, including Galápagos. The study targets children regularly attending school, aged 6–12. …”
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Assessing the Direct Impact of Typhoons on Vegetation Canopy Structure and Photosynthesis by Yaoyao Zheng, Simin Zhan, Zaichun Zhu, Sen Cao, Jiana Chen, Pengjun Zhao, Weimin Wang, Ranga B. Myneni

“…Typhoons Nida, Hato, and Mangkhut caused canopy losses in 76.58%, 61.25%, and 89.67% of vegetated regions, respectively, leading to direct cumulative gross primary production losses of 0.36, 0.22, and 0.50 Tg C. …”
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A novel graph neural network based approach for influenza-like illness nowcasting: exploring the interplay of temporal, geographical, and functional spatial features by Jiajia Luo, Xuan Wang, Xiaomao Fan, Yuxin He, Xiangjun Du, Yao-Qing Chen, Yang Zhao

“…This study proposes a graph neural network (GNN)-based method to address the issue of cross-regional connectivity in predicting influenza outbreaks, aiming to achieve real-time and accurate influenza prediction. …”
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Structure of a Sulfated Capsular Polysaccharide from the Marine Bacterium <i>Cobetia marina</i> KMM 1449 and a Genomic Insight into Its Biosynthesis by Maxim S. Kokoulin, Yulia V. Savicheva, Alina P. Filshtein, Ludmila A. Romanenko, Marina P. Isaeva

“…The CPS biosynthetic gene cluster (BGC) of about 70 genes composes four regions encoding nucleotide sugar biosynthesis (dTDP-Rha and GDP-Man), assembly (GTs genes), translocation (ABC transporter genes), sulfation (PAPS biosynthesis and sulfotransferase genes) and lipid carrier biosynthesis (<i>wcb</i> operon). …”
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Characterizing wind, wave, and Stokes drift interactions in the upper ocean during Typhoon Doksuri using the COAWST model by Yaoyao Han, Changsheng Zuo, Zhizu Wang, Yucui Wang, Chengchen Tao, Xu Zhang, Juncheng Zuo

“…Comparative analysis indicates that COAWST has higher accuracy than WRF and ERA5, particularly in capturing the asymmetrical phenomena of wind and wave field. The high-value regions of the wind and wave fields are concentrated in the first quadrant around the typhoon center. …”
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Diagnosis of Coronary Heart Disease Through Deep Learning-Based Segmentation and Localization in Computed Tomography Angiography by Bo Zhao, Jianjun Peng, Ce Chen, Yongyan Fan, Kai Zhang, Yang Zhang

“…The segmentation outcomes are clinically significant as they provide quantitative assessments of arterial stenosis, plaque characterization, and ischemia-prone regions, supporting risk assessment and treatment planning. …”
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High nature value farming systems in Europe: A dataset encompassing the environmental impact assessment of farms and extensive ruminant food productsFigshare by M. Torres-Miralles, P. Jeanneret, M. Lamminen, F. Joly, B. Dumont, H. Tuomisto, I. Herzon

“…Despite their importance for ecological and socio-economic resilience of rural regions, these systems are often overlooked in Life Cycle Assessment (LCA) studies due to challenges in data compilation, especially from small local farms and because of the diversity of production. …”
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Surveying Nearshore Bathymetry Using Multispectral and Hyperspectral Satellite Imagery and Machine Learning by David Hartmann, Mathieu Gravey, Timothy David Price, Wiebe Nijland, Steven Michael de Jong

“…Future studies are recommended to train neural networks with images from various regions to increase generalization and method portability. …”
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Rapid Geographical Origin Identification and Quality Assessment of Angelicae Sinensis Radix by FT-NIR Spectroscopy by Zhen-yu Zhang, Ying-jun Wang, Hui Yan, Xiang-wei Chang, Gui-sheng Zhou, Lei Zhu, Pei Liu, Sheng Guo, Tina T. X. Dong, Jin-ao Duan

“…The coefficient of determination for calibration (R2C) for the best PLSR models established with the optimal spectral preprocessing method and selected important spectral regions for the quantitative determination of ferulic acid and Z-ligustilide was 0.9659 and 0.9611, respectively, while the coefficient of determination for prediction (R2P) was 0.9118 and 0.9206, respectively. …”
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Advanced Machine Learning Ensembles for Improved Precipitation Forecasting: The Modified Stacking Ensemble Strategy in China by Tiantian Tang, Yifan Wu, Yujie Li, Lexi Xu, Xinyi Shi, Haitao Zhao, Guan Gui

“…Accurate and reliable precipitation forecasting is vital for effective water resource management and disaster mitigation, especially in geographically diverse and climatically complex regions like China. This study proposes an advanced methodology for medium- and long-term hydrological forecasting by integrating multiple machine learning models through a modified stacking ensemble strategy (MSES). …”
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Influence of Meteorological Conditions and Fire Hotspots on PM0.1 in Northern Thailand during Strong Haze Episodes and Carbonaceous Aerosol Characterization by Chaiyoth Sresawasd, Thaneeya Chetiyanukornkul, Phuchiwan Suriyawong, Surajit Tekasakul, Masami Furuuchi, Mitsuhiko Hata, Rachane Malinee, Perapong Tekasakul, Racha Dejchanchaiwong

“…Because both organic and elemental carbon are the light-absorbing carbonaceous aerosols, the increase during the haze periods contributed to regional air quality and climate. This study enhances the understanding of PM0.1 behavior in Chiang Mai, Thailand, during the haze periods in upper southeast Asia.…”
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Diabetic Retinopathy in Type 2 Diabetes Mellitus Patients Attending the Diabetic Clinic of the University of Gondar Hospital, Northwest Ethiopia by Asamere Tsegaw, Shitaye Alemu, Abere Dessie, Christopher C. Patterson, Eldryd H. O. Parry, David I. W. Phillips, Elisabeth R. Trimble

“…These results compare well with the most recent results in well-equipped, wealthier regions of the world and show the importance of stable healthcare infrastructure for chronic-disease management.…”
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