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). …”
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Innovative Peptide-Based Plasmonic Optical Biosensor for the Determination of Cholesterol by Ana Lia Bernardo, Anne Parra, Virginia Cebrián, Óscar Ahumada, Sergio Oddi, Enrico Dainese

“…Plasmonic-based biosensors have gained prominence as potent optical biosensing platforms in both scientific and medical research, attributable to their enhanced sensitivity and precision in detecting biomolecular and chemical interactions. However, the detection of low molecular weight analytes with high sensitivity and specificity remains a complex and unresolved issue, posing significant limitations for the advancement of clinical diagnostic tools and medical device technologies. …”
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Improvement of the sensitivity of circulating tumor DNA-based liquid biopsy: current approaches and future perspectives by Ekaterina S. Kuligina, Grigoriy A. Yanus, Evgeny N. Imyanitov

“…Liquid biopsy (LB) is a complex of procedures aimed at the detection of tumor-derived fragments (nucleic acids, proteins, cells, etc.) persisting in the blood or other body fluids. …”
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A versatile HPLC method collaborated with NaDES-ultrasound-assisted LLE and machine learning for purity testing and trace analysis of 1,4-benzodiazepines in crime scene evidence, h... by Walaa Nabil Abd-AlGhafar, Rasha Abo Shabana, Rania El-Shaheny, Manar M. Tolba

“…Therefore, the development of a fast, versatile, and high throughput method for the analysis of these compounds in hospital effluent and food samples from crime scenes is of paramount importance. However, efficient extraction from such complex matrices usually requires large volumes of toxic organic solvents, lengthy time, and high cost. …”
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DA-YOLOv7: A Deep Learning-Driven High-Performance Underwater Sonar Image Target Recognition Model by Zhe Chen, Guohao Xie, Xiaofang Deng, Jie Peng, Hongbing Qiu

“…New modules such as the Omni-Directional Convolution Channel Prior Convolutional Attention Efficient Layer Aggregation Network (OA-ELAN), Spatial Pyramid Pooling Channel Shuffling and Pixel-level Convolution Bilat-eral-branch Transformer (SPPCSPCBiFormer), and Ghost-Shuffle Convolution Enhanced Layer Aggregation Network-High performance (G-ELAN-H) are central to its design, which reduce the computational burden and enhance the accuracy in detecting small targets and capturing local features and crucial information. …”
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Advanced finite segmentation model with hybrid classifier learning for high-precision brain tumor delineation in PET imaging by K. Murugan, SatheeshKumar Palanisamy, N. Sathishkumar, Tagrid Abdullah N. Alshalali

“…Abstract Brain tumor segmentation plays a crucial role in clinical diagnostics and treatment planning, yet accurate and efficient segmentation remains a significant challenge due to complex tumor structures and variations in imaging modalities. …”
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Constant Weight Space-Time Codes for Dimmable MIMO-VLC Systems by Jia-Ning Guo, Jian Zhang, Yan-Yu Zhang, Gang Xin, Lin Li

“…Simultaneously, we also present the codeword structure and a low implementation complexity detection algorithm for the scheme. Finally, performance analysis and simulation results provide comparisons between the proposed scheme and other existing dimming control schemes.…”
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ILN-YOLOv8: A Lightweight Image Recognition Model for Crimped Wire Connectors by Xiaojian Zhou, Jicheng Kan, Nur Fatin Liyana Mohd Rosely, Xu Duan, Jiajing Cai, Zihan Zhou

“…After pruning and knowledge distillation, the model’s complexity and computational load significantly decreased while accuracy improved, meeting the industry’s requirements for crimped wire connectors detection and achieves superior performance. …”
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Integration of Artificial Neural Network in a IEEE 5 BUS System by T. L. Makosso, A. Almaktoof, K. Abo-Al-Ez

“…The data collected from that phase to phase voltage fault are computed and train in the proposed model and proves the higher efficiency and ability to detect faults or abnormal disturbances. …”
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AI-driven multi-agent reinforcement learning framework for real-time monitoring of physiological signals in stress and depression contexts by Thanveer Shaik, Xiaohui Tao, Lin Li, Haoran Xie, Hong-Ning Dai, Feng Zhao, Jianming Yong

“…The optimized agents adapt effectively to dynamic environments, ensuring timely detection of critical health deviations. Comparative evaluations reveal superior performance in metrics related to decision-making accuracy and response efficiency, highlighting the robustness of the framework. …”
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Unveiling smart contract vulnerabilities: Toward profiling smart contract vulnerabilities using enhanced genetic algorithm and generating benchmark dataset by Sepideh HajiHosseinKhani, Arash Habibi Lashkari, Ali Mizani Oskui

“…Many of them, such as rule-based methods, machine learning techniques, and neural networks, also struggle to detect complex vulnerabilities due to limited data availability. …”
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High accuracy inverse design of reconfigurable metasurfaces with transmission-reflection-integrated achromatic functionalities by Jiang Xiao-Qiang, Fan Wen-Hui, Chen Xu, Zhao Lv-Rong, Qin Chong, Yan Hui, Wu Qi, Ju Pei

“…Moreover, transmission-reflection-integrated achromatic THz imaging and edge detection can also be realized by the metasurfaces. …”
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A New [PMo₁₂O₄₀]³⁻-Based Ni^II Compound: Electrochemical and Photocatalytic Properties for Water Pollutant Removal by Guoqing Lin, Shufeng Liu, Dai Shi, Ying Yang, Fangle Yu, Tong Lu, Xiao-Yang Yu, Yuguang Zhao

“…Photocatalytic studies reveal that compound <b>1</b> functions as a bifunctional photocatalyst, which not only achieves efficient degradation of organic dyes but also demonstrates remarkable reduction efficiency for toxic Cr(VI). …”
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Automatic Evaluation of Bone Age Using Hand Radiographs and Pancorporal Radiographs in Adolescent Idiopathic Scoliosis by Ifrah Andleeb, Bilal Zahid Hussain, Julie Joncas, Soraya Barchi, Marjolaine Roy-Beaudry, Stefan Parent, Guy Grimard, Hubert Labelle, Luc Duong

“…<b>Background/Objectives:</b> Adolescent idiopathic scoliosis (AIS) is a complex, three-dimensional spinal deformity that requires monitoring of skeletal maturity for effective management. …”
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Using Digital Technology to Conduct COVID-19 Surveillance: A Systematic Review by Fitrisia Rahma, Fatmah Fatmah, Rachmadhi Purwana

“…Conclusion: Digital technology has demonstrated its pivotal role in strengthening public health surveillance during the pandemic, improving efficiency, accuracy, and capacity in pandemic response. …”
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Quantification of Salmonella in Raw Poultry Using Droplet Digital PCR With a Whole Cell, Enrichment-free Approach by Cheryl M. Armstrong, Chin-Yi Chen, Yicheng Xie, Javier Atencia, Sophie Pierre, Yiping He, Joe Lee, Gretchen E. Dykes, Kathleen Johnson, Brice Froment, Sean Martinos, Joseph Capobianco

“…This platform offers a robust, rapid, and precise tool for detecting low levels of Salmonella in poultry products without enrichment, making it a more accurate and efficient approach to bacterial quantification in complex food matrices.…”
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SEM Deep Learning Multiclass Noise Level Classification With Data Augmentation by Kai Liang Lew, Kok Swee Sim, Shing Chiang Tan

“…Overcoming noise in SEM images traditionally involves the use of various filters, such as the Wiener filter and Gaussian filter, but these methods are often limited in efficiency when handling complex noise patterns, and they can be time-consuming. …”
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A hybrid CFD and machine learning study of energy performance of photovoltaic systems with a porous collector: Model development and validation by Yinling Wang, Lei Yu, Mazhar Ali, Imran Ali Khan, Tahir Maqsood, Haining Gao, Qi Wang, Xiaolei Guo

“…These results demonstrated the capability of machine learning to accurately capture complex relationships within structured datasets.…”
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HalalChain: A decentralized blockchain model for enhanced data integrity, real-time compliance, and automated verification in halal food supply chain by Muhammad Muntasir Yakubu, Mohd Fadzil B Hassan, Kamaluddeen Usman Danyaro, Bello Musa Yakubu, Abdullah Abdulrahman Alabdulatif, S. Zulaikha Beevi, Aliyu Garba

“…The global halal food industry, valued at over $1.9 trillion, faces critical challenges in ensuring transparency, traceability, and compliance with Islamic dietary laws across complex supply chains. Traditional centralized systems are vulnerable to inefficiencies, fraud, and data tampering, undermining consumer trust. …”
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AgriSenAI: Automating UAV thermal and multispectral image processing for precision agriculture by Boaz B. Tulu, Fitsum Teshome, Yiannis Ampatzidis, Niguss Solomon Hailegnaw, Haimanote K Bayabil

“…However, processing and extracting useful information from UAV images is often complex, time-consuming, and requires specialized software, which limits its broader adoption for practical field implementations. …”
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