Electrochemical Immunosensors on Laser-Induced Graphene Platforms for Monitoring of Anti-RBD Antibodies After SARS-CoV-2 Infection by Beatriz R. Martins, Cristhianne Molinero R. Andrade, Guilherme F. Simão, Rhéltheer de Paula Martins, Lucas V. de Faria, Tiago A. Matias, Virmondes Rodrigues Júnior, Rodrigo Alejandro Abarza Munoz, Renata Pereira Alves

“…In this context, electrochemical biosensors present themselves as promising tools for the efficient monitoring of SARS-CoV-2 infection. We have developed a highly specific biosensor for the detection of anti-SARS-CoV-2 antibodies in patient sera. …”
Get full text

Accelerating Streaming Subgraph Matching via Vector Databases by Liuyi Chen, Yi Ding, Xushuo Tang, Fangyue Chen, Siyuan Gong, Xu Zhou, Zhengyi Yang

“…Graphs are widely used in applications such as social network analysis, bioinformatics, and recommendation systems to represent relationships and complex dependencies. Subgraph matching, which involves finding instances of a query subgraph within a larger graph, is crucial for tasks such as fraud detection, pattern recognition, and semantic search. …”
Get full text

Investigation of high fecundity genes by nanopore sequencing in sheep (Ovis aries) pituitary by Xue Xiao, Zhibin Ji, Tong Wang, Dejie Zhu, Zhonghui Li, Xinming Xu, Fen Li

Get full text

Enhanced Magnetic Resonance Imaging-Based Brain Tumor Classification with a Hybrid Swin Transformer and ResNet50V2 Model by Abeer Fayez Al Bataineh, Khalid M. O. Nahar, Hayel Khafajeh, Ghassan Samara, Raed Alazaidah, Ahmad Nasayreh, Ayah Bashkami, Hasan Gharaibeh, Waed Dawaghreh

“…Effective brain cancer detection is crucial for patients’ safety and health. …”
Get full text

Development of Coated Graphite and Wire Electrodes for Methyldopa Determination in Pharmaceutical and Pure Products by Hasan Amer, Omar Salih Hassan

“…The limit of detection of 1.4×10-6 M and a Nernstian slope of 57.12 mV/decade, Electrode B showed linearity over the range of concentrations of 4.0×10-8 to 1.0×10-2 .Methyldopa (MeD) exhibited a good selectivity over a wide range of inorganic cations, starch, and glucose, according to selectivity coefficients calculated using the separate solution method (SSM). …”
Get full text

ESR investigation of NR and IR rubber vulcanized with different cross-link agents by P. Posadas, M. A. Malmierca, A. Gonzalez-Jimenez, L. Ibarra, A. Rodriguez, J. L. Valentin, T. Nagaoka, H. Yajima, S. Toki, J. Che, L. Rong, B. S. Hsiao

“…Vulcanization of NR and IR always shows a radical pathway, where the different vulcanization systems dictate the concentration of radical species in the course of this complex process. The greatest concentration of radicals were detected during the vulcanization with sulfur/accelerator based on efficient systems (EV), followed by conventional (CV) and sulfur donor systems, whereas azide and organic peroxide agents showed smaller concentration of radicals. …”
Get full text

IoT Based Meat Freshness Classification Using Deep Learning by Zarif Wasif Bhuiyan, Syed Ali Redwanul Haider, Adiba Haque, Mohammad Rejwan Uddin, Mahady Hasan

“…This integrated approach significantly improves the accuracy, reliability, and efficiency of meat safety management within the food supply chain.…”
Get full text

APPLICATION OF HYBRID MEMETIC ALGORITHM IN OPTIMAL CONTROL NONLINEAR STOCHASTIC SYSTEMS WITH INCOMPLETE FEEDBACK PROBLEMS by A. V. Panteleev, V. N. Panovskiy

“…Several alternative forms of parametrization are considered: in the form of expansion by Legendre polynomials system and in the form of cosine-waves. The efficiency of the proposed algorithms was analyzed by means of created software complex. …”
Get full text

Deep Learning for Traffic Scene Understanding: A Review by Parya Dolatyabi, Jacob Regan, Mahdi Khodayar

“…The significance of Hyperparameter Optimization (HPO) is also discussed, emphasizing its critical role in enhancing model performance and efficiency, particularly in adapting DL models for practical, real-world use. …”
Get full text

Integration of Machine Learning and Wavelet Algorithms for Processing Probing Signals: An Example of Oil Wells by Zukhra Abdiakhmetova, Zhanerke Temirbekova

“…These signals can be obscured by noise or exhibit complex, non-stationary behavior, making them difficult to detect and analyze using conventional Fourier-based methods. …”
Get full text

Intersection collision prediction and prevention based on vehicle-to-vehicle (V2V) and cloud computing communication by Min Zeng, Mohd Sani Mohamad Hashim, Mohd Nasir Ayob, Abdul Halim Ismail, Qiling Zang

“…In modern transportation systems, the management of traffic safety has become increasingly critical as both the number and complexity of vehicles continue to rise. These systems frequently encounter multiple challenges. …”
Get full text

Path Planning for Lunar Rovers in Dynamic Environments: An Autonomous Navigation Framework Enhanced by Digital Twin-Based A*-D3QN by Wei Liu, Gang Wan, Jia Liu, Dianwei Cong

“…A high-fidelity digital twin simulation environment integrates a YOLOv5-based multimodal perception system for real-time obstacle detection and distance estimation. Experimental validation across low-, medium-, and high-complexity scenarios demonstrates superior performance: the method achieves shorter paths, zero collisions in dynamic settings, and 30% faster convergence than baseline D3QN. …”
Get full text

A Benzimidazole-Based Fluorescent Probe for the Selective Recognition of Cobalt (II) Ions by Jing Zhu, Hua-Fen Wang, Jia-Xiang Zhang, Man Wang, Yu-Wei Zhuang, Zhi-Guang Suo, Ye-Wu He, Yan-Chang Zhang, Min Wei, Hai-Yan Zhang

“…Fluorescent probes offer high sensitivity, selectivity, a rapid response, and ease of use, making them ideal for the accurate and efficient recognition of Co²⁺ in complex samples. …”
Get full text

Solutions on Establishing and Utilizing BIM for General Contractors in Key Scenarios of Digital Construction by Yang Peng, Fangqiang Yu, Ming Zhang, Jinglin Xu, Shang Gao

“…Third, the new model storage and indexing method are designed to reduce the complexity of model data and support rapid data retrieval, and a new BIM change detection method based on object metadata is provided. …”
Get full text

Energy aware computer vision algorithm deployment on heterogeneous architectures by Teymoor Ali, Deepayan Bhowmik, Robert Nicol

“…The results show that effective partitioning and scheduling of imaging algorithms on heterogeneous systems is a step towards better efficiency over traditional FPGA/GPU-only accelerators.…”
Get full text

An approach to arousal disorder classification using deformable convolution and adaptive multiscale features in EEG signals by Andia Foroughi, Fardad Farokhi, Fereidoun Nowshiravan Rahatabad, Alireza Kashaninia

“…Our proposed model, a hierarchical multiscale deformable attention module, excels at detecting complex and abnormal patterns in EEG data. …”
Get full text

Can Smart Electrochemical Sensors Sustainably Tackle PFAS-@Microplastics? by Andrea Lee, Riley Orr, Justin Sanchez-Almirola, Jasmina Casals-Terré, Ajeet Kaushik

“…Electrochemical sensors detect MPs (ppb) and PFAS (ppt) selectively, but simultaneous detection of both in the PFAS@MP complexation has not been demonstrated. …”
Get full text

Development status and key technologies of deep-sea towing autonomous underwater vehicles by Guanyu LU, Tiedong ZHANG, Zhenglin LI, Dapeng JIANG, Ming LEI, Wanzhen LUO

“…Third, towing AUVs may form clusters or heterogeneous networks to improve operational efficiency and accuracy, and they will exhibit stronger autonomy within the future network. …”
Get full text

An Improved U-Net-Based Framework for Estimating River Surface Flow Velocity by 周继威, 安国成, 王根一

“…Objective Accurate estimation of river surface flow velocity is critical for optimizing hydropower generation efficiency and enhancing flood warning systems. Existing deep learning models face challenges in generalization due to limited training samples and data heterogeneity across complex river environments. …”
Get full text

Acoustic monitoring with miniature drones shows reduced Myotis bat occurrence with altitude and drone movement by Lauren Dobie, David M. Bird, Kyle H. Elliott

“…We investigate how habitat, drone altitude, and drone movement influence bat sampling efficiency. A hovering drone detected more bats per minute than a moving drone for the EPNO complex (Eptesicus fuscus and Lasionycteris noctivagans) and all bats. …”
Get full text