Needle‐Plug/Piston‐Based Modular Mesoscopic Design Paradigm Coupled With Microfluidic Device for Point‐of‐Care Pooled Testing by Baobao Lin, Bao Li, Wu Zeng, Yulan Zhao, Huiping Li, Yin Gu, Peng Liu

“…Using this approach, an ultra‐sensitive nucleic acid detection system is developed with a limit of detection of ten copies of SARS‐CoV‐2 per mL. …”
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Integration of acoustic, optical, and electrical methods in picoliter droplet microfluidics for rare particles enrichment by Huasheng Zhuo, Chunhua He, Canfeng Yang, Xian Jiang, Fan Li, Xiangliang Yang, Hai Yang, Tuying Yong, Zhiyong Liu, Yan Ma, Lei Nie, Guanglan Liao, Tielin Shi

“…Traditional enrichment methods encounter obstacles such as low efficiency, high cost, and complexity. Acoustic focusing, optical fiber detection, and electrical manipulation have shown potential in microfluidics for particle manipulation and analysis. …”
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Correlated Photon Lidar Based on Time-Division Multiplexing by Yun Jiang, Bo Liu, Zixun Wang, Fengyun Huang, Taibei Liu, Lan Luo, Feifan He, Yongqi Yang, Bin Zhao

“…Single-photon lidar (SPL) exhibits high sensitivity, making it particularly suitable for detecting weak echoes over long distances. However, its susceptibility to background noise necessitates the implementation of advanced filtering techniques and complex algorithms, which can significantly increase system cost and complexity. …”
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Optimizing additive manufacturing workflows using model-based systems engineering by Mohamed Amine Daoud, Khadija Bekkay Haouari, Meriem Hayani Mechkouri, Amine Ennawaoui, Hicham El hadraoui, Ilias Naser, Mustapha Ouardouz, Kamal Reklaoui

“…Additive Manufacturing (AM) is a transformative technology enabling the production of complex geometries with reduced waste and lead times. …”
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Laser-cooled ^{137}BaF molecules for measuring nuclear-spin-dependent parity violation by Felix Kogel, Tatsam Garg, Marian Rockenhäuser, Tim Langen

“…Our results pave the way for efficient state preparation, detection, and cooling in precision measurements using this species and other similar species.…”
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A Comprehensive Review of Deep Learning Applications in Cotton Industry: From Field Monitoring to Smart Processing by Zhi-Yu Yang, Wan-Ke Xia, Hao-Qi Chu, Wen-Hao Su, Rui-Feng Wang, Haihua Wang

“…DL enhances accuracy, efficiency, and adaptability, promoting the modernization of cotton production and precision agriculture. …”
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Enhancing gastroenterology with multimodal learning: the role of large language model chatbots in digestive endoscopy by Yuanyuan Qin, Yuanyuan Qin, Jianming Chang, Li Li, Li Li, Mianhua Wu, Mianhua Wu

“…IntroductionAdvancements in artificial intelligence (AI) and large language models (LLMs) have the potential to revolutionize digestive endoscopy by enhancing diagnostic accuracy, improving procedural efficiency, and supporting clinical decision-making. …”
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Symmetric anion exchange membranes enhance arsenic removal and overcome conductivity limitations in FCDI systems by Siyao Zhang, Purui Wang, Wenchao Xue, Wanni Zhang, Fangyuan Liu, Chaoge Yang, Hanlong Liu, Yang Zhang, Zimeng Zhang, Chunpeng Zhang

“…Relative to conventional designs, the symmetric-AEM configuration demonstrated an approximate 19.4% enhancement in arsenic removal efficiency. For influent streams with initial arsenic concentrations of 1000 μg·L⁻¹, effluent concentrations were diminished below the analytical detection limit (0.02 μg·L⁻¹) employing a two-stage sequential process. …”
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Capacity Estimation and Knee Point Prediction Using Electrochemical Impedance Spectroscopy for Lithium Metal Battery Degradation via Machine Learning by Qianli Si, Shoichi Matsuda, Yasunobu Ando, Toshiyuki Momma, Yoshitaka Tateyama

“…Conversely, high‐frequency features related to charge transfer resistance play a dominant role in the KP detection. To reduce data complexity and improve model efficiency, the input by selecting specific frequency points based on SHAP values is further optimized. …”
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MMTraP: Multi-Sensor Multi-Agent Trajectory Prediction in BEV by Sushil Sharma, Arindam Das, Ganesh Sistu, Mark Halton, Ciaran Eising

“…Accurate detection and trajectory prediction of moving vehicles are essential for motion planning in autonomous driving systems. …”
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Integrating type-2 fuzzy logic controllers with digital twin and neural networks for advanced hydropower system management by Yali Zeng, Zahraa Abed Hussein, Mustafa Habeeb Chyad, Amirfarhad farhadi, Jianyong Yu, Hesam Rahbarimagham

“…Specifically, the hybrid system achieved a 10.96% increase in load management efficiency and a 12.64% reduction in fault detection time compared to traditional methods. …”
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Special Issue on Contemporary Research Studies in Operations Research, Business Analytics, and Business Intelligence by Viswanath Kumar Ganesan, S. Vinodh, Malolan Sundararaman, M. Vimala Rani, M. Mathirajan

“…Optimization Algorithms: Developing efficient algorithms to solve linear fractional transshipment problem with multi-objective linear fractional functions. 4. …”
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Explainable artificial intelligence for sustainable urban water systems engineering by Shofia Saghya Infant, Sundaram Vickram, A Saravanan, C M Mathan Muthu, Devarajan Yuarajan

“…Explainable Artificial Intelligence (XAI) has potential for revolutionary improvements in operational efficiency, resilience, and decision-making in the engineering of sustainable urban water systems. …”
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Integrated Leakage Control Technology for Underground Structures in Karst Terrains: Multi-Stage Grouting and Zoned Remediation at Guangzhou Baiyun Metro Station by Yanhong Wang, Wentian Xu, Shi Zheng, Jinsong Liu, Muyu Li, Yili Yuan

“…This study presents a comprehensive treatment system for addressing leakage challenges in underground structure construction within complex karst terrains, demonstrated through the case of Baiyun Station in Guangzhou. …”
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Implementation of a Flexible Real-Time Radar Architecture of Vital Signs Based on Cyclic Temporal Moment Algorithms Using SDR Technology by Fatima Sekak, Fouzia Elbahhar, Madjid Haddad

“…Various algorithms can be employed for this purpose, and the choice depends on factors, such as accuracy, computational efficiency, and the application’s specific requirements. …”
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LGFaware-meshing: online mesh reconstruction from LiDAR point cloud with awareness of local geometric features by Yaoqian Niu, Hao Chen, Jun Li, Chun Du, Jiangjiang Wu, Yunsheng Zhang

“…Recently, online mesh reconstruction from light detection and ranging (LiDAR) measurements has garnered significant interest because of its high efficiency. …”
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A Comparison of Machine Learning Algorithms for Predicting Alzheimer’s Disease Using Neuropsychological Data by Zakaria Mokadem, Mohamed Djerioui, Bilal Attallah, Youcef Brik

“…These findings highlight the robustness and efficiency of ensemble learning algorithms, especially in handling complex, non-linear data structures. …”
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Research on Intelligent Diagnosis of Corrosion in the Operation and Maintenance Stage of Steel Structure Engineering Based on U-Net Attention by Zhen Duan, Xinghong Huang, Jia Hou, Wei Chen, Lixiong Cai

“…Intelligent corrosion diagnosis plays a crucial role in enhancing the efficiency of operation and maintenance for steel structures. …”
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A framework for assessing reliability of observer annotations of aerial wildlife imagery, with insights for deep learning applications. by Rowan L Converse, Christopher D Lippitt, Steven E Sesnie, Grant M Harris, Matthew J Butler, David R Stewart

“…There is growing interest in using deep learning models to automate wildlife detection in aerial imaging surveys to increase efficiency, but human-generated annotations remain necessary for model training. …”
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RACF: A Multimodal Deep Learning Framework for Parkinson’s Disease Diagnosis Using SNP and MRI Data by Jiangbo Cao, Xiaojing Long

“…The multimodal diagnosis of PD is confronted with two enduring challenges: (1) the dependence on pre-existing knowledge of established genetic risk loci, and (2) the low efficiency and limited interpretability in handling interactions among cross-modal features. …”
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