RDRM-YOLO: A High-Accuracy and Lightweight Rice Disease Detection Model for Complex Field Environments Based on Improved YOLOv5 by Pan Li, Jitao Zhou, Huihui Sun, Jian Zeng

“…Existing deep learning-based methods for rice leaf disease detection struggle with inadequate sensitivity to subtle disease features, high computational complexity, and degraded accuracy under complex field conditions, such as background interference and fine-grained disease variations. …”
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Population dynamics by E. G. Cooch, A. A. Dhondt

“…Using a Markov Chain Monte Carlo (MCMC) approach (which eliminates the need for some of the standard assumption often invoked in use of a Kalman filter), Brooks and colleagues describe methods to combine information, including potentially relevant covariates that might explain some of the variation, within a larger framework that allows for discrimination (selection) amongst alternative models. …”
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Mass and stiffness sensing performance of nanomechanical resonators: viability of infectious virus detection by Manuel Gómez-Moreno, Juan Molina, José J. Ruz, Óscar Malvar, Javier Tamayo, Montserrat Calleja, Álvaro San Paulo

“…Particularly, stiffness resolution can reach levels well below the stiffness variations observed in some viruses as a consequence of maturation, enabling an integrated approach for infectivity assessment. …”
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Dual-Branch Seasonal Error Elimination Change Detection Framework Using Target Image Feature Fusion Generator by Hongming Zhu, Jipeng Zhang, Zeju Wang, Xinyu Liu, Qin Liu, Bowen Du

“…Many existing change detection methods do not specifically address the performance degradation caused by seasonal errors. …”
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S3FCD: a single-temporal self-supervised learning framework for remote sensing image change detection by Wenqian Lv, Nian Shi, Keming Chen, Guangyao Zhou, Chunlei Huo

“…Existing deep learning-based change detection methods achieve high performance by utilizing annotated and registered bi-temporal images. …”
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Demonstrating Agroecological Practices in Potato Production with Conservation Tillage and <i>Pseudomonas</i> spp., <i>Azotobacter</i> spp., <i>Bacillus</i> spp. Bacterial Inoculant... by Jana Marjanović, Abdulrahman Maina Zubairu, Sandor Varga, Shokhista Turdalieva, Fernanda Ramos-Diaz, Apolka Ujj

“…Conducted at the SZIA Agroecological Garden MATE in Gödöllő, Hungary, the research utilizes 12 plots to evaluate different conservation tillage methods, including minimum and no-tillage, with and without microbial inoculation. …”
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Estimation of Rice Leaf Nitrogen Content Using UAV-Based Spectral–Texture Fusion Indices (STFIs) and Two-Stage Feature Selection by Xiaopeng Zhang, Yating Hu, Xiaofeng Li, Ping Wang, Sike Guo, Lu Wang, Cuiyu Zhang, Xue Ge

“…However, challenges such as spectral saturation and canopy structural variations across different growth stages complicate this task. …”
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The Contribution of Education, Health, and Unemployment on HDI in East Java, Indonesia by Amrun Rosyid, Elok Damayanti, Sarmilah Sarmilah, ST Rohani, Syalwa Shabila

“…Future research should incorporate qualitative methods and longitudinal data to capture broader determinants of human development. …”
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Deciphering the evolutionary imprints of Camellia oleifera Abel.: delineating its distinct phylogeographic structure and demographic history through microsatellite and plastid frag... by Tao Chen, Tingting Xiang, Qian Zheng, Xuekun Kuang, Qingbo Kong, Jiasi Zhou, Heng Wang, Lijun Zhou, Shiling Feng, Ming Yuan, Hongyu Yang, Chunbang Ding

“…The integrated Approximate Bayesian Computation (ABC) and ecological niche modeling (ENM) were utilized to analyze the demographic and evolutionary history. …”
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Comparison of Surface Roughness of Class V Cavity Preparation using Diamond Abrasive Point and Ultrasonic Tip and Measurement of Shear Bond Strength after Restoration with Composit... by Abhijit Ghosh, Priti D Desai, Ipsita Maity, Paromita Mazumdar

“…However, no statistically significant variations have been observed in shear bond strength among the two methods, suggesting that ultrasonic tips may be considered as an alternative to diamond abrasive points in clinical settings, avoiding their drawbacks while achieving adequate restoration retention.…”
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Pedagogical content knowledge for teaching numbers and operations: a study with prospective teachers by André Joaquim, Paula Catarino, Maria Nascimento, Ana Paula Aires

“…Objective: To understand the PCK needed to teach Numbers and Operations to future teachers in initial training. Methods: A quantitative methodology was adopted, using a questionnaire to collect data from 136 future teachers in training from four public higher education institutions in Angola. …”
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Characterizing heterogeneity in Alzheimer’s disease progression: a semiparametric model by Fatih Gelir, Suneel Babu Chatla, Md. Shenuarin Bhuiyan, Elizabeth A. Disbrow, Steven A. Conrad, John A. Vanchiere, Christopher G. Kevil, Emrah Gecili, Mohammad Alfrad Nobel Bhuiyan

“…Abstract The progression of Alzheimer’s disease (AD), a leading cause of dementia worldwide, is known for its variability and complexity, challenging the conventional methods of monitoring and predicting disease trajectories. …”
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Epidemiology of piroplasm infections in humans, animals, and tick vectors in China (1982–2022): a One Health systematic review by Yijun Chai, Jin Che, Jinming Wang, Jianxun Luo, Shuaiyang Zhao, Guiquan Guan, Hong Yin

“…Data were extracted for molecular diagnostic methods, epidemiological surveys, and tick population monitoring. …”
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Comparative analysis of stability models for identifying rice inter-subspecific breeding lines adapted to different temperature regimes for exploitation in hybrid breeding by Bonipas Antony John, Saraswathi Ramaswamy, Manonmani Swaminathan, Kumaresan Dharmalingam, Gunasekaran Mahalingam, Pushpa Raman, Ramalingam Jegadeesan

“…The analysis results revealed a significant genotype-environment interaction in the current study, with temperature being a key factor influencing genotype variation across environments. Various stability models were assessed for efficiency based on correlation and genetic gain results, which indicated that integrating yield performance with stability indices such as GGE (17.51), RPGV (17.51), HMGV (17.51), and WAASBY (166.32) led to higher genetic gain. …”
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Multi-omics analysis reveals immunosuppression in oesophageal squamous cell carcinoma induced by creatine accumulation and HK3 deficiency by Yingzhen Gao, Siyu He, Xiaoyan Meng, Kun Zheng, Heyang Cui, Yikun Cheng, Xinyuan Shen, Yuanfang Zhai, Binbin Zou, Fang Wang, Hongyi Li, Pengzhou Kong, Yanqiang Wang, Xuefei Feng, Bin Yang, Ruifang Sun, Yongsheng Meng, Enwei Xu, Yanlin Guo, Ning Ding, Weimin Zhang, Xiaolong Cheng, Lunzhi Dai, Yongping Cui, Ling Zhang

“…Importantly, ESCC patients were stratified into three subtypes (S1, S2, and S3) on the basis of integrated metabolomic and proteomic data. A robust subtype prediction model was developed and validated across two independent cohorts. …”
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LLMs for product classification in e-commerce: A zero-shot comparative study of GPT and claude models by Konstantinos I. Roumeliotis, Nikolaos D. Tselikas, Dimitrios K. Nasiopoulos

“…Traditional product classification methods, which depend heavily on labeled data and manual effort, struggle with scalability and adaptability to diverse product categories. …”
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A Novel Grey Prediction Model: A Hybrid Approach Based on Extension of the Fractional Order Discrete Grey Power Model with the Polynomial-Driven and PSO-GWO Algorithm by Baohua Yang, Xiangyu Zeng, Jinshuai Zhao

“…Traditional forecasting models often struggle to accurately capture the complex patterns of change within the data. Methods: To this end, this study introduces a novel polynomial-driven discrete grey power model (<i>PFDPGM</i>(1,1)) that includes time perturbation parameters, enabling a flexible representation of complex variation patterns in the data. …”
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A Multi-Strategy Visual SLAM System for Motion Blur Handling in Indoor Dynamic Environments by Shuo Huai, Long Cao, Yang Zhou, Zhiyang Guo, Jingyao Gai

“…Typical SLAM systems adhere to the assumption of environment rigidity, which limits their functionality when deployed in the dynamic indoor environments commonly encountered by household robots. Prevailing methods address this issue by employing semantic information for the identification and processing of dynamic objects in scenes. …”
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Adaptation and Grain Yield Stability Analysis of Winter Wheat Cultivars with and Without Fungicides Treatment from National Variety Trials in Sweden by Admas Alemu, Pawan K. Singh, Aakash Chawade

“…The multi-environment evaluation of wheat genotypes for grain yield is an integral part of germplasm enhancement since it plays a pivotal role in sustainable production. …”
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Anomaly Detection on Laminated Composite Plate Using Self-Attention Autoencoder and Gaussian Mixture Model by Olivier Munyaneza, Jung Woo Sohn

“…While traditional unsupervised machine learning methods have been used in structural health monitoring (SHM), their high false positive rates limit their reliability in real-world applications. …”
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