Classification of tomato leaf disease using Transductive Long Short-Term Memory with an attention mechanism by Aarthi Chelladurai, D.P. Manoj Kumar, S. S. Askar, Mohamed Abouhawwash, Mohamed Abouhawwash

“…Thus, numerous research studies have been introduced based on deep learning models for the efficient classification of tomato leaf disease. However, the usage of a single architecture does not provide the best results due to the limited computational ability and classification complexity. …”
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Redefining Urban Traffic Dynamics With TCN-FL Driven Traffic Prediction and Control Strategies by K. M. Karthick Raghunath, C. Rohith Bhat, Venkatesan Vinoth Kumar, Velmurugan Athiyoor Kannan, T. R. Mahesh, K. Manikandan, N. Krishnamoorthy

“…Using this cooperative method not only improves the model’s ability to forecast outcomes accurately but also enables efficient real-time traffic management, with the ability to adapt to changing conditions. …”
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Isolation of Diverse Phosphate- and Zinc-Solubilizing Microorganisms from Different Environments by Samira Islas-Valdez, Antisar Afkairin, Benjamin Rovner, Jorge M. Vivanco

“…Notably, <i>Aspergillus awamori</i>, <i>Fusarium circinatum</i>, <i>Fusarium longifundum</i>, and <i>Mucor circinelloides</i>, isolated from cultivated soils and soil amendments, emerged as the most efficient PSMs and ZnSMs. <i>Mucor circinelloides</i> exhibited the highest solubilization ability for broths containing β-TCP, CaP, RP, ZnO, and ZnP, with log2-fold changes of 3.7, 1.8, 8.9, 7.8, and 2.4, respectively, compared to the control. …”
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Effect of improving lumbar mobility, spinal stability ; with core stability training to achieve personal best runner by Zulhasniati Zulhasniati, Yudik Prasetyo, Nugroho Susanto, Andre Igoresky, Yogi Arnaldo Yogi Arnaldo, Gema Fitriady, Khoiril Anam, Zhanneta Kozina, Ratko Pavlovic, Ozgur Eken, Francesca Latino, Francesco Tafuri, Pradicta Nurhuda

“…The results of this study show that the application of core stability exercises can increase the ability of lumbar mobility and spinal stability, so if the core stability exercises are done properly, they can increase stability in the spine and mobility in the lumbar, which causes dynamic limb movement to be more efficient. …”
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Research on Combustion State System Diagnosis Based on Voiceprint Technology by Jidong Yan, Yuan Wang, Liansuo An, Guoqing Shen

“…It is found that CNN has the strongest classification ability, can accurately distinguish the four states, has the lowest misclassification rate, has very strong generalization ability, and has a diagnostic accuracy of 93.49%. …”
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The Effect of Hydroxyl Moieties and Their Oxosubstitution on Bile Acid Association Studied in Floating Monolayers by Márta Szekeres, Béla Viskolcz, Mihalj Poša, János Csanádi, Dušan Škorić, Erzsébet Illés, Ildikó Y. Tóth, Etelka Tombácz

“…Bile salt aggregates are promising candidates for drug delivery vehicles due to their unique fat-solubilizing ability. However, the toxicity of bile salts increases with improving fat-solubilizing capability and so an optimal combination of efficient solubilization and low toxicity is necessary. …”
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Reducing severity of inflammatory bowel disease through colonization of Lactiplantibacillus plantarum and its extracellular vesicles release by Yuanyuan Wu, Xinyue Huang, Qianbei Li, Chaoqun Yang, Xixin Huang, Hualongyue Du, Bo Situ, Lei Zheng, Zihao Ou

“…This protective effect is dependent on the efficient uptake of L. plant-EVs by intestinal cells. …”
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DT-YOLO: An Improved Object Detection Algorithm for Key Components of Aircraft and Staff in Airport Scenes Based on YOLOv5 by Zhige He, Yuanqing He, Yang Lv

“…We then introduced a novel module named D-CTR in the backbone, which integrates the global feature extraction capability of Transformers with the limited receptive field of convolutional neural networks (CNNs) to enhance the feature representation ability and overall performance. A dropout layer was introduced to reduce redundant and noisy features, prevent overfitting, and improve the model’s generalization ability. …”
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MultiV_Nm: a prediction method for 2′-O-methylation sites based on multi-view features by Lei Bai, Fei Liu, Yile Wang, Junle Su, Lian Liu

“…By integrating the powerful local feature extraction ability of convolutional neural networks, the ability of graph attention networks to capture global structural information, and the efficient interaction advantage of cross-attention mechanisms for different features, it deeply explores and integrates multi-view features, and finally realizes the prediction of Nm modification sites. …”
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Pure Disturbance Sliding-Mode Feedback Control Based on Disturbance Observation for CCD-Assisted Line-of-Sight Stabilization by Yong Luo, Yi Cheng, Yongmei Huang, Qiongyan Wu, Dong He, Ge Ren, Guan Wang, Shi Zheng

“…Excellent disturbance rejection ability is essential for a photoelectric tracking system (PTS) based on the Charge-Couple Device (CCD) sensor, which is a premise guarantee for obtaining highly accurate tracking, especially under the condition of moving carriers with intense disturbances. …”
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Citric acid is more effective than sodium thiosulfate in chelating calcium in a dissolution model of calcinosis by Kyle A. Burgess, Richard E. P. Winpenny, Alberto Saiani, Aline F. Miller, Ariane L. Herrick, Rachel E. B. Watson

“…Dissolution performance was further assessed via ability to dissolve a calcified matrix laid down in vitro. …”
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Research on highway road condition intelligent assessment and optimization system based on deep learning and internet of things by Tingquan He, Changhai Wang, Riyan Lan, Haiyu Luo

“…One of the core components of an intelligent highway road condition assessment system is the ability to accurately detect and classify objects in real-time, such as potholes, cracks, debris, and traffic signs. …”
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Improving rainfall forecasting using deep learning data fusing model approach for observed and climate change data by Farhan Amir Fardush Sham, Ahmed El-Shafie, Wan Zurina Binti Wan Jaafar, S. Adarsh, Mohsen Sherif, Ali Najah Ahmed

“…The performance of several advanced machine learning models was assessed, with the Efficient Linear Support Vector Machine (ELSVM) showing the highest accuracy in daily rainfall forecasting, yielding an R² value of 0.3868, indicating its ability to effectively capture the variability in rainfall. …”
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YOLO-TARC: YOLOv10 with Token Attention and Residual Convolution for Small Void Detection in Root Canal X-Ray Images by Yin Pan, Zhenpeng Zhang, Xueyang Zhang, Zhi Zeng, Yibin Tian

“…YOLO-TARC can contribute to more accurate and efficient objective postoperative evaluation of root canal treatments.…”
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In-Season Predictions Using Chlorophyll <i>a</i> Fluorescence for Selecting Agronomic Traits in Maize by Andrija Brkić, Sonja Vila, Domagoj Šimić, Antun Jambrović, Zvonimir Zdunić, Miroslav Salaić, Josip Brkić, Mirna Volenik, Vlatko Galić

“…The model with 10 latent variables showed a higher predictive ability for grain yield (GY) than other models. The efficiency of the indirect selection for GY using biophysical parameters was lower than direct selection efficiency, while the indirect selection efficiency for grain moisture using biophysical parameters was relatively high. …”
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A review of the research progress of ammonia combustion enhancement technology by ZHANG Yu, ZHAO Yijun*, ZENG Guang, ZHANG Wenda, ZHANG Linyao, SUN Shaozeng

“…Combustion enhancement and NO_x emission control are of great significance to realize clean and efficient ammonia combustion in the future.…”
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THE MAIN FEATURES OF ENSURING THE COMPETITIVENESS OF TERRITORIAL COMMUNITIES OF THE BLACK SEA ECONOMIC REGION by Hennadiy B. Nikolenko, Vitalii G. Storozhuk

“…The horizontal dimension of competitiveness implies the ability of a community to use its own socio-economic opportunities with minimal involvement of external resources by reducing energy costs, improving the quality of housing and communal services, creating new jobs, supporting small and medium-sized businesses, training and engaging third-party specialists, and efficient use of land and natural resources. …”
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BESW-YOLO: A Lightweight SAR Image Detection Model Based on YOLOv8n for Complex Scenarios by Xiao Tang, Kun Cao, Yunzhi Xia, Enkun Cui, Weining Zhao, Qiong Chen

“…Synthetic aperture radar (SAR) is a vital technology for ship detection due to its ability to capture high-resolution remote sensing images. …”
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Water Volume and 3D Topographic Analysis of Hub Dam, Karachi, Using Remote Sensing and Global Bathymetry Data by Imran Ahmed Khan, Altaf Hussain Lahori

“…This process enabling an efficient workflow for handling and analysing large datasets. …”
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Cationic Lipid Derived from a Basic Amino Acid: Design and Synthesis by Diana M. Bravo-Estupiñan, Mariela Montaño-Samaniego, Rodrigo A. Mora-Rodríguez, Miguel Ibáñez-Hernández

“…However, to date, no transfection method is 100% safe and efficient. Within the spectrum of non-viral genetic vectors, cationic liposomes formed by cationic lipids stand out for their ability to protect and deliver therapeutic NA. …”
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