Method for approximate analytical calculation of electromagnetic wave reflection coefficients from a layer of inhomogeneous non-reciprocal chiral metamaterial taking into account d... by Dmitry N. Panin, Oleg V. Osipov, Yuliya S. Mamoshina

“…Inhomogeneous non-reciprocal chiral metamaterials are of particular interest due to their ability to control the polarization of electromagnetic waves and alter their properties. …”
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Parameter Sensitivity Analysis and Irrigation Regime Optimization for Jujube Trees in Arid Regions Using the WOFOST Model by Shihao Sun, Yingjie Ma, Pengrui Ai, Ming Hong, Zhenghu Ma

“…This management model ensures yield and maximizes crop water use efficiency (CWP), thus providing a scientific and efficient irrigation and fertilization regime for jujube trees in arid zones.…”
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On Realization of Intelligent Decision Making in the Real World: A Foundation Decision Model Perspective by Ying Wen, Ziyu Wan, Ming Zhou, Shufang Hou, Zhe Cao, Chenyang Le, Jingxiao Chen, Zheng Tian, Weinan Zhang, Jun Wang

“…Consequently, IDM should possess the ability to continuously acquire new skills and effectively generalize across a broad range of applications. …”
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Learning to Cycle: Body Composition and Balance Challenges in Balance Bikes Versus Training Wheels by Cristiana Mercê, David Catela, Rita Cordovil, Mafalda Bernardino, Marco Branco

“…The assessment of independent cycling was considered as the ability to perform, sequentially and unaided, and the various cycling milestones: self-launch, ride, and brake. …”
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Solvent-Driven Enrichment and Multiplex Analysis of Local Anesthetics by Thin-Layer Chromatography Coupled with Surface-Enhanced Raman Spectroscopy by Huimin Sui, Miao Li, Yangyang Gao, Jie Luo, Fangyuan Ban, Tao Xu, Shuang Fu, Chao-Yang Zhao, Hailin Wen, Cuiyan Han

“…Local anesthetics have been widely used in clinical analgesia due to their ability to provide effective regional pain management. …”
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Neural network quantification for solar radiation prediction: An approach for low power devices by Brenda Alejandra Villamizar-Medina, Angelo Joseph Soto Vergel, Byron Medina-Delgado, Darwin Orlando Cardozo-Sarmiento, Dinael Guevara-Ibarra, Oriana Alexandra Lopez-Bustamante

“… Accurate solar radiation prediction leverages various machine learning techniques, with artificial neural networks (ANN) being the most common and precise due to their ability to detect and learn relationships between meteorological variables and solar radiation. …”
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EgoSep: Egocentric On-Screen Sound Source Separation for Real-Time Edge Computing by Donghyeok Jo, Jun-Hwa Kim, Jihoon Jeon, Chee Sun Won

“…The ability to identify specific sounds in noisy environments can be improved by incorporating visual information through audio-visual integration, leveraging visual cues such as lip reading and sound-producing object recognition. …”
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Surface Defect and Malformation Characteristics Detection for Fresh Sweet Cherries Based on YOLOv8-DCPF Method by Yilin Liu, Xiang Han, Longlong Ren, Wei Ma, Baoyou Liu, Changrong Sheng, Yuepeng Song, Qingda Li

“…Second, a channel attention feature fusion mechanism (CAFM) is incorporated at the front end of the detection head, which enhances the model’s ability to identify fine defects on the cherry surface. …”
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Plant recognition of maize seedling stage in UAV remote sensing images based on H-RT-DETR by Yunlong Wu, Shouqi Yuan, Lingdi Tang

“…H-RT-DETR uses Hierarchical Feature Representation and Efficient Self-Attention as the backbone network for feature extraction, thereby improving the network's ability to extract features of maize seedling stage in UAV remote sensing images. …”
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Radiographic prediction model based on X-rays predicting anterior cruciate ligament function in patients with knee osteoarthritis by Guanghan Gao, Yaonan Zhang, Lei Shi, Lin Wang, Fei Wang, Qingyun Xue

“…Consequently, the authors established an efficient approach for accurate evaluation of ACL function in KOA patients.…”
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Deep Learning Framework Using Transformer Networks for Multi Building Energy Consumption Prediction in Smart Cities by Samuel Moveh, Emmanuel Alejandro Merchán-Cruz, Maher Abuhussain, Yakubu Aminu Dodo, Saleh Alhumaid, Ali Hussain Alhamami

“…The increasing complexity of urban building energy systems necessitates advanced prediction methods for efficient energy management. Urban buildings account for approximately 40% of global energy consumption, making accurate prediction crucial for sustainability goals. …”
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Advancing Neurodegenerative Disease Management: Technical, Ethical, and Regulatory Insights from the NeuroPredict Platform by Marilena Ianculescu, Lidia Băjenaru, Ana-Mihaela Vasilevschi, Maria Gheorghe-Moisii, Cristina-Gabriela Gheorghe

“…On a worldwide scale, neurodegenerative diseases, including multiple sclerosis, Parkinson’s, and Alzheimer’s, face considerable healthcare challenges demanding the development of novel approaches to early detection and efficient treatment. With its ability to provide real-time patient monitoring, customized medical care, and advanced predictive analytics, artificial intelligence (AI) is fundamentally transforming the way healthcare is provided. …”
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Multi-Feature Fusion for Estimating Above-Ground Biomass of Potato by UAV Remote Sensing by Guolan Xian, Jiangang Liu, Yongxin Lin, Shuang Li, Chunsong Bian

“…Compared with the traditional time-consuming and laborious method through destructive sampling, UAV remote sensing provides a timely and efficient strategy for estimating biomass. However, the universality of remote sensing retrieval models with multi-feature fusion under different management practices and cultivars are unknown. …”
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Enhancing 10-HDA production of Escherichia coli by heterologous expression of MexHID transporter proteins by Ziting Xu, Chaofan Du, Sheng Gao, Xinrui Yan, Pan Deng, Yuehan Liu, Junqing Wang, Junqing Wang, Ruiming Wang, Ruiming Wang, Nan Li, Nan Li

“…In this study, we mined a transporter protein from Pseudomonas aeruginosa, which possesses the ability to efficiently efflux 10-HDA, and constructed a transporter protein overexpression strain by using the multicopy chromosome integration technique, which further improved the efficiency of product efflux, weakened the feedback inhibition of 10-HDA to a certain degree, and increased the substrate conversion rate to 88.6%. 10-HDA was synthesized up to 0.94 g/L by the replenishment flow-addition technique, providing a simple and efficient pathway for the yield breakthrough of 10-HDA biosynthesis.…”
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Graph-based analysis of histopathological images for lung cancer classification using GLCM features and enhanced graph by Imam Dad, JianFeng He, Zulqarnain Baloch

“…This study advances computational pathology by unifying Graph Neural Networks (GNN) with interpretable feature engineering, offering a scalable, efficient solution for cancer subtype classification. …”
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Reducing impact load on RC-Slabs using Expanded Polystyrene (EPS) by Yosra El-Maghraby, John Wael, Aya Assem, Ahmad E. Khalil

“…Abstract Reinforced Concrete (RC) slabs are widely used in structural applications due to their ability to withstand heavy loads. However, under impact loading conditions such as falling objects or debris, their brittle nature makes them prone to cracking and damage. …”
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Slope Deformation Prediction Combining Particle Swarm Optimization-Based Fractional-Order Grey Model and <i>K</i>-Means Clustering by Zhenzhu Meng, Yating Hu, Shunqiang Jiang, Sen Zheng, Jinxin Zhang, Zhenxia Yuan, Shaofeng Yao

“…Overall, the proposed model offers a robust and data-efficient solution for slope deformation prediction, providing substantial potential for early warning systems and risk management.…”
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TSB-Forecast: A Short-Term Load Forecasting Model in Smart Cities for Integrating Time Series Embeddings and Large Language Models by Mohamed Mahmoud Hasan, Neamat El-Tazi, Ramadan Moawad, Amany H. B. Eissa

“…In smart cities, energy management systems are essential for efficient resource utilization, enhanced operational efficiency, and sustainability promotion. …”
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Advances in the Application of Infrared in Food Processing for Improved Food Quality and Microbial Inactivation by Christian K. Anumudu, Helen Onyeaka, Chiemerie T. Ekwueme, Abarasi Hart, Folayemi Isaac-Bamgboye, Taghi Miri

“…Infrared (IR) radiation has emerged as a transformative technology in food processing, offering a rapid, energy-efficient method for inactivating microbial cells and spores while preserving the nutritional and sensory attributes of food. …”
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An enhanced lightweight model for apple leaf disease detection in complex orchard environments by Ge Wang, Wenjie Sang, Fangqian Xu, Yuteng Gao, Yue Han, Qiang Liu

“…In order to enhance the network’s anti-interference ability in complex backgrounds and its capacity to differentiate between similar diseases, we incorporate an Efficient Multi-Scale Attention (EMA) within the deep structure of the network for in-depth feature extraction. …”
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