EDT-Net: A Lightweight Tunnel Water Leakage Detection Network Based on LiDAR Point Clouds Intensity Images by Zhenyu Liu, Xianjun Gao, Yuanwei Yang, Lei Xu, Shaoning Wang, Ningsheng Chen, Zhiwei Wang, Yuan Kou

“…Tailored for multiscale point cloud intensity images, we devised a lightweight object detection network to identify areas affected by water leakage promptly. Integrating efficient receptive field expansion convolution into lightweight network models facilitated efficient feature extraction. …”
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Identification and Application of a Novel Patulin Degrading Enzyme From Meyerozyma guilliermondii by Yu Zhang, Qianhua Zhao, Solairaj Dhanasekaran, Esa Abiso Godana, Yue Zhang, Xue Bai, Qiya Yang, Hongyin Zhang

“…Notably, MgSDR1 shows efficient PAT degradation ability in fresh pear juice while maintaining key quality parameters, such as color parameters, pH, polyphenol oxidase activity, the contents of vitamin C, total phenols, titratable acidity, and soluble solids. …”
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Unified estimation of rice canopy leaf area index over multiple periods based on UAV multispectral imagery and deep learning by Haixia Li, Qian Li, Chunlai Yu, Shanjun Luo

“…Leaf area index (LAI) is a key indicator for assessing the growth condition and yield potential of rice, and the traditional methods for obtaining LAI have problems such as low efficiency and large error. With the development of remote sensing technology, unmanned aerial multispectral remote sensing combined with deep learning technology provides a new way for efficient and accurate estimation of LAI in rice. …”
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Token Mixing for Breast Cancer Diagnosis: Pre-Trained MLP-Mixer Models on Mammograms by Hosameldin O. A. Ahmed, Asoke K. Nandi

“…Breast cancer remains a leading cause of mortality among women, necessitating accurate and computationally efficient diagnostic solutions. Deep learning, particularly convolutional neural networks (CNNs), has significantly advanced mammographic analysis by automating feature extraction and improving early detection. …”
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Preparation and Anti-cancer Evaluation of Methotrexate-loaded Inositol-6 Phosphate Cross-linked Chitosan Nanoparticles on Breast Cancer by Masoud Farshbaf, Nasrin Gobakhlou, Muhammad Sarfraz, Javid Shahbazi-Mojarrad, Mohammad Feyzizadeh, Hamed Hamishehkar, Parvin Zakeri-Milani, Hadi Valizadeh

“…Purpose: Chitosan nanoparticles (CNs) have directed considerable research efforts towards developing biocompatible, biodegradable, inexpensive and efficient particulate drug delivery systems. Methods: In the present investigation, we utilized green and safe inositol hexaphosphate (InsP6) as a physical cross-linker to obtain CNs (InsP6CNs) and compared their size, zeta potential and cell uptake ability with the CNs cross-linked with tripolyphosphate (TPP) as a commonly used cross-linker (TPPCNs). …”
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Accelerated development of multi-component alloys in discrete design space using Bayesian multi-objective optimisation by Osman Mamun, Markus Bause, Bhuiyan Shameem Mahmood Ebna Hai

“…Bayesian optimisation (BO) protocols grounded in active learning (AL) principles have gained significant recognition for their ability to efficiently optimize black-box objective functions. …”
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Barlow Twins deep neural network for advanced 1D drug–target interaction prediction by Maximilian G. Schuh, Davide Boldini, Annkathrin I. Bohne, Stephan A. Sieber

“…The use of our hybrid approach of deep learning and gradient boosting machine as the underlying predictor ensures fast and efficient predictions without the need for substantial computational resources. …”
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Combining household surveys and interviews to understand irrigation technology adoption among farmers in Maharashtra (India) by Anja Šaponjić, Soham Adla, Lisa Scholten, Erik Mostert, Saket Pande

“…Farmers who adopt micro irrigation systems are often more well-off than farmers adopting furrow irrigation systems and their ability to invest outweighs the importance of saving water through the adoption of efficient micro irrigation systems. …”
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Optimization of the Traceability of Perishable Products Through Light Blockchain and IoT in the Food Industry by William Villegas-Ch, Jaime Govea, Pablo Santiago Moncayo-Moncayo, Alexandra Maldonado Navarro, Carlos Chavez-Pirca

“…These solutions are often insufficient to ensure fast response times, energy efficiency, and scalability in dynamic scenarios, negatively impacting the quality and safety of food products. …”
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Research on Lightweight Open-Pit Mine Driving Obstacle Detection Algorithm Based on Improved YOLOv8s by Bo Xu, Wubin Xu, Bing Li, Hanwen Zhang, Yuanbin Xiao, Weixin Zhou

“…In order to enhance the ability of the backbone to capture features, the idea of the guidance module (CGBlock) of contextual information is introduced to construct a new CGC2f module; the efficient squeeze excitation (ESE) attention mechanism is embedded in the feature fusion layer to make the model pay more attention to the channels containing important feature information; in order to enhance the model’s learning ability for obstacles of different sizes in the open-pit mine, a more suitable dynamic head network (DyHead) is used at the output end; in order to further improve real-time performance, the layer-based adaptive amplitude pruning (LAMP) score algorithm is used to prune redundant weight parameters. …”
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Visuoperceptual Impairment in Children with NF1: From Early Visual Processing to Procedural Strategies by Sara Bulgheroni, Matilde Taddei, Veronica Saletti, Silvia Esposito, Roberto Micheli, Daria Riva

“…Copy style was poor and less efficient in children with NF1 and correlated to copy and recall ability, but the effect of the group in the RCFT copy and recall remained significantly controlling for strategic approach. …”
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Unlocking the power of MgFe-LDHcal/TiO2 heterojunctions for superior photocatalytic detoxification of industrial wastewater by Alaka Samal, Dipti P. Das

“…The persistence of these dyes in effluents poses significant environmental concerns due to their cytotoxic, mutagenic, and carcinogenic properties, as well as their ability to inhibit mitochondrial functions. This study presents the first-ever report on the synthesis and photocatalytic application of MgFe-LDHcal/TiO₂ heterojunctions for the efficient detoxification of industrial wastewater. …”
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Fast Fourier Asymmetric Context Aggregation Network: A Controllable Photo-Realistic Clothing Image Synthesis Method Using Asymmetric Context Aggregation Mechanism by Haopeng Lei, Ying Hu, Mingwen Wang, Meihai Ding, Zhen Li, Guoliang Luo

“…In the FCAN, we introduce the Asymmetric Context Aggregation Mechanism (ACAM), which leverages multi-scale and multi-stage heterogeneous features to achieve efficient global visual context modeling, significantly enhancing the model’s ability to integrate guiding information. …”
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Solar Cell Defects Detection Based on Photoluminescence Images and Upgraded YOLOv5 Model by Gengcong Xu, Jinhua Huang, Weidong Gong, Jiahui Teng

“…In order to further improve the convolutional network’s ability to capture target features, a series SPPF module combined with soft pooling is proposed to reduce the number of repeated operations, improve network efficiency, and focus on extracting higher level features from the input. …”
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A practical guide to optimizing industrial thermal spraying through comparative multi-objective optimization by Wolfgang Rannetbauer, Simon Hubmer, Carina Hambrock, Ronny Ramlau

“…This paper applies three multi-objective optimization algorithms to determine optimal process parameters for high-velocity oxygen fuel (HVOF) thermal spraying. Their ability to enhance coating performance while maintaining process efficiency is systematically evaluated, considering practical constraints and industrial feasibility. …”
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An improved Red-billed blue magpie feature selection algorithm for medical data processing. by Chenyi Zhu, Zhiyi Wang, Yinan Peng, Wenjun Xiao

“…To further enhance the performance, this paper also constructs the V2IRBMO variant by combining the S-shaped and V-shaped transfer functions, which further enhances the robustness and generalization ability of the algorithm. Experiments demonstrate that IRBMO exhibits high efficiency, generality and excellent generalization ability in feature selection tasks. …”
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Simulation analysis of path planning for workpiece clamping robots based on digital twin technology by Xin PAN, Min LIANG, Yanchao YIN, Zhong CHEN

“…These results underscore the ability of the algorithm to efficiently and cost-effectively navigate complex obstacle configurations. …”
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Optimization of Agrobacterium tumefaciens-Mediated Immature Embryo Transformation System and Transformation of Glyphosate-Resistant Gene 2mG2-EPSPS in Maize (Zea mays L.) by Gui-rong YU, Yan LIU, Wen-ping DU, Jun SONG, Min LIN, Li-yuan XU, Fang-ming XIAO, Yong-sheng LIU

“…In the current study, several elite corn lines were tested for suitability of Agrobacterium tumefaciens-mediated transformation by using immature embryos as explants. Infection ability and efficiency of transformation of A. tumefaciens sp. strains EHA105 and LBA4404, different heat treatment times of immature embryos before infection, influence of L-cysteine addition in co-cultivation medium after transformation, and how different ways of selection and cultivation influence the efficiency of transformation were compared. …”
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Optimization Design of Hub Reducer Based on Improved Sparrow Search Algorithm by LI Jian-wei, YU Guang-bin

“…After optimization， the volume of the reducer is reduced by 53.44% with the same efficiency.…”
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Traffic signal active control method for short-distance intersections. by Yulin Tian, Shuqing Liu, Lu Wei, Zhen Li, Shaohu Tang, Yuchen Zhang, Tao Zhu

“…The experimental results show that this method can not only ensure the overall traffic efficiency of short-distance intersections and reduce the travel delay but also can actively sense the change of overflow state, improve the overflow prevention and control ability of the target scenario, and reduce the overflow risk.…”
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