Development of Dual ‘RT‐LAMP‐LFA’ Rapid Detection Technology With Gold Magnetic Nanoparticles for Influenza Virus by Haiyang Fan, Yonglong Gong, Mengying Chang, Juan Gao, Mengjia Li, Siyu Chen, Ruoyi Yang, Muxue Zhao, Yali Cui, Wenli Hui

“…However, current diagnostic tools often face limitations in speed, accuracy or complexity of result interpretation; there is a great need for more efficient detection technology for influenza virus, especially for use in resource‐limited settings or during large‐scale outbreaks. …”
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A Smart Ru‐Locked Chemiluminescence Probe via Bioorthogonal Activation for Highly Selective, Real‐Time and Noninvasive In Vivo Imaging of Thiol Dysregulation by Dongnan Guo, Dan Xu, Xiaofeng Wei, Chunying Fan, Bobo Wang, Laifu Li, Haixia Song, Wenguang Yang, Yujie Wang, Zhaojia Wang, Xiaofang Hou, Sicen Wang

“…The BAC probe overcomes many limitations that existed in other chemiluminescence probes via a highly selective “Ru‐locked” mechanism to achieve light‐independent, thiol‐triggered activation in the complex tumor microenvironment. …”
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Detecting Anomalies in Attributed Networks Through Sparse Canonical Correlation Analysis Combined With Random Masking and Padding by Wasim Khan, Mohammad Ishrat, Ahmad Neyaz Khan, Mohammad Arif, Anwar Ahamed Shaikh, Mousa Mohammed Khubrani, Shadab Alam, Mohammed Shuaib, Rajan John

“…Attributed networks are prevalent in the current information infrastructure, where node attributes enhance knowledge discovery. Anomaly detection in attributed networks is gaining attention for its potential uses in cybersecurity, finance, and healthcare. …”
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Coordinated Multimodal Transportation Infrastructure Planning in Megacities: An Agent-AI-Discrete Network Design Problem Approach Based on Chat-GPT by Jin Guo, Chenyang Wang, Linxiu Wang

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The Impact of Organizational and Managerial Factors on Integrated Resilience Engineering Indicators: A Case Study in a Petrochemical Complex Aimed at Enhancing Employee’s Health by Zahra KhosraviShapourAbadi, Zahra Naghavi-Konjin, Siavash Etemadinezhad, Jamshid Yazdani-Charati

“…Based on the DEA, 160 units were classified as efficient under the organizational condition, whereas only 146 units met the efficiency threshold when managerial factors were considered. …”
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Efficient provable dual receiver hybrid and light weight public key schemes based on the discrete logarithm problem without pairings by Eman Abouelkheir

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Efficient separation and purification of yttrium from zirconium onto anion exchange sorbent Amberlite A27 from acidic solution by O. A. Abdel Moamen, E. M. Abu Elgoud, B. A. Masry, H. M. Gayed, Y. A. El-Nadi, E. H. Borai

“…Additionally, the fractal time transient model provided insights into the complexity and heterogeneity of the sorption sites on the sorbent surface. …”
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Multi scale supervised entropy weighted binary pattern for texture classification by Xiaochun Xu, Bin Li

“…However, most existing multi-scale methods are overly complex and redundant, often neglecting the correlation of texture features across different scales. …”
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YOLO-LSD: A Lightweight Object Detection Model for Small Targets at Long Distances to Secure Pedestrian Safety by Ming-An Chung, Sung-Yun Chai, Ming-Chun Hsieh, Chia-Wei Lin, Kai-Xiang Chen, Shang-Jui Huang, Jun-Hao Zhang

“…The CBAM module improves feature selection by incorporating channel and spatial attention mechanisms, thereby enhancing the robustness of small-object detection under complex urban conditions. …”
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RFAG-YOLO: A Receptive Field Attention-Guided YOLO Network for Small-Object Detection in UAV Images by Chengmeng Wei, Wenhong Wang

“…The YOLO series of object detection methods have achieved significant success in a wide range of computer vision tasks due to their efficiency and accuracy. …”
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Simply cut out – Combining CRISPR/Cas9 RNPs and transiently selected telomere vectors for marker free-gene deletion in Trichoderma atroviride by Mario Gründlinger, Chiara Ellensohn, Leo Drechsel, Ulrike Schreiner, Siebe Pierson, Clara Baldin, Susanne Zeilinger

“…However, genetic manipulation in this organism remains challenging due to the limited availability of versatile and efficient molecular tools. Here, we present a CRISPR/Cas9-based method for targeted gene manipulation using ribonucleoprotein (RNP) complexes combined with a transiently stable telomere vector. …”
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AHN-YOLO: A Lightweight Tomato Detection Method for Dense Small-Sized Features Based on YOLO Architecture by Wenhui Zhang, Feng Jiang

“…When benchmarked against other lightweight models in the field, AHN-YOLO exhibits superior training efficiency and detection accuracy in complex, dense scenarios, demonstrating clear advantages.…”
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Deep Learning Method with Domain-Task Adaptation and Client-Specific Fine-Tuning YOLO11 Model for Counting Greenhouse Tomatoes by Igor Glukhikh, Dmitry Glukhikh, Anna Gubina, Tatiana Chernysheva

“…The large-scale implementation of computer vision systems in greenhouses requires approaches that reduce costs, time and complexity, particularly in creating training data and preparing neural network models. …”
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BuildNext-Net: A Network Based on Self-Attention and Equipped With an Efficient Decoder for Extracting Buildings From High-Resolution Remote Sensing Images by Changsheng OuYang, Hui Li

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State-of-the-Art Deep Learning Algorithms for Internet of Things-Based Detection of Crop Pests and Diseases: A Comprehensive Review by Jean Pierre Nyakuri, Celestin Nkundineza, Omar Gatera, Kizito Nkurikiyeyezu

“…Moreover, the research discusses the advantages and limitations of these techniques, emphasizing their architecture design, efficiency and accuracy. The findings demonstrate that there is a tradeoff between robustness and complexity among existing techniques, and authors recommend future trends aimed at creating robust models with fewer parameters that are more accurate and easily implementable on small IoT-based and portable devices suitable for in-field and real-time applications. …”
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Efficiency of PCR marker F311 of the SGR gene in assessing the resistance of cucumber lines to downy mildew <i>Pseudoperonospora cubensis</i> by D. D. Teplyakova

“…Based on the results of the experiment, we can conclude that the use of the F311 (SGR) marker will significantly speed up the process of selection and creation of hybrids resistant to Pseudoperonospora cubensis with a complex of economically valuable traits.…”
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Basic Introduction of New Energy Vehicles Structure and Research Progress on Fault Detection Methods of New Energy Vehicles by Ling Hao

“…Future research should refine the display of fault detection results to enhance maintenance efficiency.…”
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Negotiation impact in Supply Chain Management by Elena-Simona Ionel

“…It is determining critical decisions like supplier selection, contract terms, pricing, warranty, liability and dispute resolution becoming key activity in aligning with stakeholders objectives and mitigating risks in complex global markets. …”
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One-Step Cannulation and Distance Measurement during Aortic Branched Endograft Repair: The Neuron Catheter Trick by Gioele Simonte, Gianluigi Fino, Gianbattista Parlani, Rachele Simonte, Giacomo Isernia

“…Purpose: This paper aims to describe a straightforward, efficient, and reliable technique to simplify cannulation maneuvers during aortic branched endograft repair. …”
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Temporal Pyramid Alignment and Adaptive Fusion of Event Stream and Image Frame for Keypoint Detection and Tracking in Autonomous Driving by Peijun Shi, Chee-Onn Chow, Wei Ru Wong

“…Additionally, the framework incorporates a Dynamic Inference Path Selection mechanism, guided by input complexity, to optimize computational resource allocation, along with a dynamic noise suppression mechanism to improve the robustness of feature extraction. …”
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