DNA Damage prevention by the use of Computational Designed Microlpastics adsorbing Chemicals. by Khadija Abbas Sahan, Zahraa Abbas Sahan

“…In this study we tried to Design a compound for the efficient absorption of microplastics by the use of PubChem, Avogadro, PyMOL, and SWISSADME. …”
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Dynamic Graph Neural Network for Garbage Classification Based on Multimodal Feature Fusion by Yuhang Yang, Yuanqing Luo, Yingyu Yang, Shuang Kang

“…Amid the accelerating pace of global urbanization, the volume of municipal solid garbage has surged dramatically, thereby demanding more efficient and precise garbage management technologies. …”
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A Novel Ginsenoside-Transforming α-L-Rhamnosidase from <i>Bifidobacterium</i>: Screening, Characterization and Application by Chang-Hao Cui, Doohang Shin, Byung-Serk Hurh, Wan-Taek Im

“…In this study, we aimed to bridge this gap by evaluating eight putative rhamnosidases for their ability to transform ginsenosides. Among them, a novel rhamnosidase (C118) from <i>Bifidobacterium</i> was identified as being efficient at hydrolyzing ginsenoside Re. …”
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Ebers–Moll model inspired equivalent circuit for quantum thermal transistors by Anuradhi Rajapaksha, Sarath D. Gunapala, Malin Premaratne

“…The widespread success of electronic transistors is partly due to their ability to be modeled using equivalent circuits, which not only enables detailed analysis and efficient design but also provides greater insight for designers, facilitating the development of complex electronic systems. …”
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Dual-Stream Enhanced Deep Network for Transmission Near-Infrared Dorsal Hand Vein Age Estimation with Attention Mechanisms by Zhenghua Shu, Zhihua Xie, Xiaowei Zou

“…To this end, this paper proposes an efficient dorsal hand vein age estimation model using a deep neural network with attention mechanisms. …”
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Advances and Challenges in Using Ammonia as a Hydrogen Carrier for a Sustainable Energy Future by Zhou Yuanhao

“…Ammonia is rapidly emerging as a critical player in the global shift toward hydrogen-based energy, which offers a practical answer to one of the clean energy transition’s toughest challenges: How to store and move hydrogen efficiently. With a hydrogen content of 17.6 wt% and a volumetric density of 121 kg H₂/m³, which is nearly double then that of liquid hydrogen, ammonia provides efficient, large-scale storage and transport capabilities. …”
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Integration of BIM and ar with VSLAM to assist in construction site inspection by Wei-Liang Kuo, Bo-Kai Huan, Shang-Hsien Hsieh, Yuan-Hao Tsai, Yun-Tsui Chang

“… Building Information Modeling (BIM) has been widely adopted for construction inspections due to its ability to integrate multiple data sources. Engineers use BIM to identify and review site issues, yet inspection systems face several challenges. …”
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Adaptive Task Scheduling in Fog Computing Using Federated DQN and K-Means Clustering by Prashanth Choppara, S. Sudheer Mangalampalli

“…For all dataset sizes small, medium, and large datasets, it reduces makespan by up to 30%, improves throughput, and reduces energy by distributing tasks on the most efficient node based on current system states. The results demonstrate the ability of FLDQN to optimize task execution in real time, while addressing the scalability and privacy issues inherent in fog computing. …”
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Enhanced nattokinase production by Bacillus subtilis from glycerol and okara: optimization of culture medium via response surface methodology by Yaling Duan, WanTing Du, Yang Xu, Gege Guo, Zhaoxing Liu, Ning Hao

“…The co-expression of glpF and glpK significantly enhanced the strain’s ability to metabolize glycerol. Building upon this, fermentation conditions using glycerol as the carbon source and okara as the nitrogen source were optimized. …”
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Research on the Classification Method of Tea Tree Seeds Quality Based on Mid-Infrared Spectroscopy and Improved DenseNet by Di Deng, Hao Li, Jiawei Luo, Jiachen Jiang, Hongbo Mu

“…Aiming at the deficiencies of DenseNet121 in one-dimensional spectral processing, such as insufficient generalization ability and weak feature extraction, the ECA-DenseNet model was proposed. …”
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Non-destructive detection of early wheat germination via deep learning-optimized terahertz imaging by Guangming Li, Hongyi Ge, Yuying Jiang, Yuan Zhang, Xi Jin

“…Terahertz (THz) technology provides a promising solution due to its ability to perform non-invasive imaging of internal structures. …”
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Research on multi dimensional feature extraction and recognition of industrial and mining solid waste images based on mask R-CNN and graph convolutional networks by Shuqin Wang, Na Cheng, Yan Hu

“…Abstract Aiming at the problems of traditional methods for multi-dimensional feature extraction of industrial and mining solid waste images, such as single feature extraction, difficult fusion, missing high-order features, weak generalization ability and low computational efficiency, an innovative solution combining Mask R-CNN with Graph Convolutional Networks (GCN) was proposed to achieve automatic, multi-dimensional and efficient feature extraction. …”
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A lightweight weed detection model for cotton fields based on an improved YOLOv8n by Jun Wang, Zhengyuan Qi, Yanlong Wang, Yanyang Liu

“…Abstract In modern agriculture, the proliferation of weeds in cotton fields poses a significant threat to the healthy growth and yield of crops. Therefore, efficient detection and control of cotton field weeds are of paramount importance. …”
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Comparison of Bayesian Models to Estimate Survival From Dead‐Recovery Alone and Together With Live‐Encounter Data: Challenges and Opportunities by Michael Schaub, Jaume A. Badia‐Boher

“…The marginalized state‐space and multinomial models were the most computationally efficient. The models evaluated do not differ in their ability to model temporal covariates but do differ for individual continuous covariates. …”
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Improved printed circuit board defect detection scheme by Lufeng Bai, Wen Hao Xu

“…Furthermore, in order to further enhance the interaction and fusion of multi-scale features, we also add a SlimNeck module to the neck structure, which realizes efficient information transfer through streamlined design and reduces computational complexity at the same time. …”
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Cyclodextrin Metal–Organic Frameworks for Catalytic Applications: Current Research and Future Outlook by Edgar Clyde R. Lopez

“…Further investigations focuses into the nanoconfined environment of CD-MOFs, showcasing their ability to influence the regio- and stereoselectivity of photodimerization reactions. …”
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Revising Common Approaches for Calibration: Insights From a 1‐D Tracer‐Aided Hydrological Model With High‐Dimensional Parameters and Objectives by Songjun Wu, Doerthe Tetzlaff, Chris Soulsby

“…NSGA‐II is effective and efficient after aggregating objectives to ≤4, but failed when calibrating against all 24 objectives. …”
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Fusion of Visual Attention and Scene Descriptions With Deep Reinforcement Learning for AAV Indoor Autonomous Navigation by Hussein Samma, Ahmed Abubaker, Mubarak Badamasi Aremu, Mohammed Abdel-Nasser, Sami El-Ferik

“…These two models enhance the ability of DRL to adjust the AAV trajectory. This ensures safe and efficient navigation in complex indoor spaces. …”
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Voltage Quality Enhancement of Low-Voltage Smart Distribution System Using Robust and Optimized DVR Controllers: Application of the Harris Hawks Algorithm by Mohamed Metwally Mahmoud, Yahia M. Esmail, Basiony Shehata Atia, Omar Makram Kamel, Kareem M. AboRas, Mohit Bajaj, Syed Sabir Hussain Bukhari, Daniel Eutyche Mbadjoun Wapet

“…The benefits of the optimized controller system are inferred from the results, including their robustness, simplicity, efficient harmonic rejection, minimal tracking error, quick response, and sinusoidal reference track. …”
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GE-YOLO for Weed Detection in Rice Paddy Fields by Zimeng Chen, Baifan Chen, Yi Huang, Zeshun Zhou

“…Weeds are a significant adverse factor affecting rice growth, and their efficient removal necessitates an accurate, efficient, and well-generalizing weed detection method. …”
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