Parcel-scale crop planting structure extraction combining time-series of Sentinel-1 and Sentinel-2 data based on a semantic edge-aware multi-task neural network by Zhiguang Tang, Xiangdong Wang, Qin Jiang, Haizhu Pan, Gang Deng, He Chen, Yuanhong You, Sijia Li, Haiyan Hou

“…Subsequently, the Global Separability Index (GSI) was used to optimize feature selection. Ultimately, a parcel-scale random forest (RF) model was developed to enable accurate crop type classification and spatial delineation of crop planting structures. …”
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A Novel Hybrid Model for Automatic Non-Small Cell Lung Cancer Classification Using Histopathological Images by Oguzhan Katar, Ozal Yildirim, Ru-San Tan, U Rajendra Acharya

“…This model processes deep, textural and contextual features obtained by using EfficientNet-B0, local binary pattern (LBP) and vision transformer (ViT) encoder as feature extractors, respectively. …”
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Coordinated Development and Spatiotemporal Evolution Trends of China’s Agricultural Trade and Production from the Perspective of Food Security by Yueyuan Yang, Chunjie Qi, Yumeng Gu, Cheng Gui

“…The research finds that the development levels of China’s agricultural trade and production show an upward trend but currently still exhibit the pattern of higher levels in Eastern China and lower levels in Western China. …”
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Geography, poverty and development: An interdisciplinary debate / Geografi a, pobreza e desenvolvimento: um debate interdisciplinar by Anand Prasad Mishra

“…n emerging feature of contemporary development studies in India is the deployment of an interdisciplinary approach involving geographical location, level of poverty, nature of development and planning etc. …”
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Development and evaluation of deep neural networks for the classification of subtypes of renal cell carcinoma from kidney histopathology images by Amit Kumar Chanchal, Shyam Lal, Shilpa Suresh

“…Cross-channel features refer to the relationships and dependencies between different data channels, while inter-spatial features refer to patterns within small spatial regions. …”
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SH-SDS: a new static-dynamic strategy for substation host security detection by Yang Diao, Hui Chen, Wei Liu, Abdur Rasool

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Development of an Optimal Machine Learning Model to Predict CO₂ Emissions at the Building Demolition Stage by Gi-Wook Cha, Choon-Wook Park

“…In this study, research on the development of optimal machine learning (ML) models was conducted to predict CO₂ emissions at the demolition stage. …”
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Machine learning approach for 2D abrasion mapping in Sediment Bypass Tunnels: a case study of Koshibu SBT, Japan by Ahmed Emara, Sameh A. Kantoush, Mohamed Saber, Tetsuya Sumi, Vahid Nourani, Emad Mabrouk

“…The controlling factors for abrasion were developed based on geometric and hydraulic features. …”
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Mechanisms and thresholds of land use affecting surface water quality in Hangzhou City’s residential areas by Qianhu Chen, Jinye Huang

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Genome-wide characterization and expression profiling of the TGA gene family in sweet orange (Citrus sinensis) reveal CsTGA7 responses to multiple phytohormones and abiotic stresse... by Min Wang, Min Wang, Yue Ma, Yu-Xin Qiu, Si-Si Long, Wen-Shan Dai, Wen-Shan Dai

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Belt and Road Initiative and Urban Landscapes: Quantifying Land Use Changes and Development Strategies in Minsk, Vientiane, and Djibouti by Chuan Zhang, Xiang Jing, Zihao Wang, Hongsheng Chen

“…This study examines the China-Belarus Industrial Park in Minsk, the Saysettha Development Zone in Vientiane, and the Djibouti International Free Trade Zone, using remote sensing data and the patch-generating land use simulation (PLUS) model to analyze land use changes and driving forces in these three cities from 2000 to 2020, thereby revealing regional land-use patterns and their developmental differences. …”
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Expression analysis of glutathione S-transferase genes in Lasioderma serricorne (Coleoptera: Anobiidae) subjected to CO₂-enriched atmosphere by XU Kangkang, DING Tianbo, YAN Yi, LI Can, YANG Wenjia

“…Temporal expression profile revealed that all the three GSTs genes were constitutively expressed in the testing stages, exhibited similar developmental expression patterns, with the highest expression level measured in the early larval stage. …”
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Hematopoietic sphingosine 1-phosphate lyase deficiency decreases atherosclerotic lesion development in LDL-receptor deficient mice. by Martine Bot, Paul P Van Veldhoven, Saskia C A de Jager, Jason Johnson, Niels Nijstad, Peter J Van Santbrink, Marijke M Westra, Gerd Van Der Hoeven, Marion J Gijbels, Carsten Müller-Tidow, Georg Varga, Uwe J F Tietge, Johan Kuiper, Theo J C Van Berkel, Jerzy-Roch Nofer, Ilze Bot, Erik A L Biessen

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Regional differences and distributional dynamic evolution of science and technology innovation driven green development efficiency in Chinese agriculture by Lingling Wang, Min Li, Panpan Zhang

“…This study assesses the spatiotemporal efficiency of ASTI in promoting green agricultural development across 30 Chinese provinces, aiming to uncover persistent regional disparities and dynamic evolution patterns.MethodsConstructing an evaluation model and indicator system for science, technology and innovation driven green development in agriculture, applying the network Slack-Based Measure (SBM) model to measure the level of efficiency, and analyzing regional differences and dynamic features through the Theil index, kernel density estimation and spatial Markov methods.Results and discussionThis study explores the regional differences and distributional dynamic evolution of the efficiency of Agricultural science and technology innovation (ASTI) driven green development in China. …”
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Strategies for Scientific and Practicall Search: is There Any Correlation Between the Development of the Gut-Brain Axis and the Sleep Characteristics in Infants? by Irina A. Belyaeva, Tatiana V. Turti, Elena P. Bombardirova, Pavel E. Sadchikov, Alexander Yu. Nagonov

“…The review provides the analysis of modern publications on the topic of correlation between development of intestinal microbiota and maturation of neurophysiological activity patterns (on the example of sleep age structure development). …”
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Meeting Global Health Needs via Infectious Disease Forecasting: Development of a Reliable Data-Driven Framework by Ravikiran Keshavamurthy, Karl T Pazdernik, Colby Ham, Samuel Dixon, Samantha Erwin, Lauren E Charles

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Growth and development characteristics of fruit and vegetative bud outgrowth of Prunus sibirica L. in relation to physiological fruit drop by Yongqiang Sun, Pengkai Wang, Ce Zhang, Biao Li, Ying Kang, Jindi Yang, Tingting Ren, Jianhua Chen, Shengjun Dong

“…However, there are few reports on P. sibirica fruit development and physiological fruit drop. Results In this study, we investigated the characteristics of fruit development, vegetative bud outgrowth, and fruit abscission, and explored the dynamic features of sugar metabolism in different tissues during physiological fruit drop and its relationship with fruit drop. …”
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Development and characterization of fluorescent cholesteryl probes with enhanced solvatochromic and pH-sensitive properties for live-cell imaging by Vicente Rubio, Nicholas McInchak, Genesis Fernandez, Dana Benavides, Diana Herrera, Catherine Jimenez, Haylee Mesa, Jonathan Meade, Qi Zhang, Maciej J. Stawikowski

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Development and characterization of magnesium-derived metal-organic framework-74 for post-combustion CO2 capture applications by Major M. Mabuza, Glory N. Makuwa

“…The growing global concern over greenhouse gas emissions, specifically carbon dioxide (CO2), has led to extensive research efforts to develop innovative materials and technologies to combat the impacts of climate change. …”
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Development and validation of machine learning-based diagnostic models using blood transcriptomics for early childhood diabetes prediction by Xin Huang, Xin Huang, Di Ouyang, Weiming Xie, Huawei Zhuang, Siyu Gao, Pan Liu, Lizhong Guo

“…The identified transcriptomic signatures and validated predictive models provide a foundation for developing clinically translatable, non-invasive diagnostic tools. …”
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