Fault Prediction and Reconfiguration Optimization in Smart Grids: AI-Driven Approach by David Carrascal, Paula Bartolomé, Elisa Rojas, Diego Lopez-Pajares, Nicolas Manso, Javier Diaz-Fuentes

“…This process should minimize power losses while optimizing distribution by balancing loads across the grid. …”
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Health and Environmental Impact of Xenobiotics in Water Quality Evaluation: A Review by Suleiman, U. F., Ibrahim, S.

“…It also gave a general overview of the process of discharging and detecting xenobiotics and their potential environmental fates.  …”
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Graphene oxide doped polyacrylonitrile-co-maleic acid nanofibers for high-performance liquid chromatography determination of amoxicillin and Oxytetracycline in milk by Shaymaa A. Mohamed, Waleed Alahmad, Ibrahim A. Darwish, Mohamed Aly Saad Aly, Puttaruksa Varanusupakul

“…Abstract Detecting and quantifying trace amounts of antibiotics like amoxicillin and oxytetracycline in milk and environmental water samples is crucial for public health and environmental monitoring. …”
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Evaluating the impact of common clinical confounders on performance of deep-learning-based sepsis risk assessment by Shikha Chaganti, Vivek Singh, Alasdair Edward Gent, Rishikesan Kamaleswaran, Ali Kamen

“…To address the challenge of label uncertainty as a part of the training process, we explore two different definitions, namely, Sepsis-3 and Adult Sepsis Event. …”
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The Immune Escape Strategy of Rabies Virus and Its Pathogenicity Mechanisms by Abraha Bahlbi Kiflu

“…But incomplete autophagy during pathogenic RABV infection failed to destroy the viruses and might aid the virus in dodging detection by antigen-presenting cells, which could otherwise elicit adaptive immune activation. …”
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Comparing large Language models and human annotators in latent content analysis of sentiment, political leaning, emotional intensity and sarcasm by Ljubiša Bojić, Olga Zagovora, Asta Zelenkauskaite, Vuk Vuković, Milan Čabarkapa, Selma Veseljević Jerković, Ana Jovančević

“…Large Language Models (LLMs) offer potential for automating this process, yet comprehensive assessments comparing their performance to human annotators across multiple dimensions are lacking. …”
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Cross-Subject Transfer Learning for Boosting Recognition Performance in SSVEP-Based BCIs by Yue Zhang, Sheng Quan Xie, Chaoyang Shi, Jun Li, Zhi-Qiang Zhang

“…The extensive experimental results validated the feasibility of the proposed method for improving SSVEP detection.…”
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Beyond extraction accuracy: addressing the quality of geographical named entity through advanced recognition and correction models using a modified BERT framework by Liuchang Xu, Jiajun Zhang, Chengkun Zhang, Xinyu Zheng, Zhenhong Du, Xingyu Xue

“…Subsequently, a Geographical Named Entity Error Correction Model (GNEECM) was constructed by training GNESM with standard GNE data and incorporating error detection and correction modules, achieving a remarkable accuracy of 96.6% in error detection and correction tasks. …”
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Recent Advances in Monitoring Technologies for Cardiac Troponin I: A Pivotal Biomarker in Cardiovascular Diseases by Ning Zhang, Yusong Wang, Fachuang Li, Yuxin Zhu, Zheng Fu, Mengda Jia, Xiaoran Zhan, Wanqing Zhang

“…The ability to rapidly detect cTnI with high sensitivity is critical throughout the diagnosis and treatment process of AMI. …”
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Evaluation of GSJ intrusive rocks JG1, JG2, JG3, JG1a, and JGb1 by an objective outlier rejection statistical procedure by Mirna Guevara, Surendra P. Verma, Fernando Velasco-Tapia

“…These groups were tested for systematic differences using analysis of variance (ANOVA). After this process, the databases were evaluated by means of statistical tests for detection of possible outliers at a strict confidence level of 99%, minimizing the danger of rejecting a valid observation as an outlier. …”
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Solvato/Vapochromism‐Based Alcohol Sensing through Metal–Organic Framework Thin Films with Coordinatively Unsaturated Metal Sites by Yuto Toki, Kenji Okada, Arisa Fukatsu, Yuta Tsuji, Masahide Takahashi

“…This unique behavior allows for the precise and reliable detection of EtOH across the entire concentration range. …”
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Automatic identification and characteristics analysis of crack tips in rocks with prefabricated defects based on deep learning methods. by Mingtao Gao, Minhui Li, Lu Chen, Zihao Guo, Chengyang Guo, Liping Li, Changsen Bu

“…The microsecond-level expansion process of multi-directional cracks is monitored by utilizing an ultrafast camera in the rock specimens. …”
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Point-of-care colorimetric glucose biosensor using Cu-MOF@N-doped graphite nanoparticles with enhanced peroxidase-like activity by Shymaa S. Soliman, Mona A. Abdel Rahman, Amr M. Mahmoud, Norhan Badr ElDin, Dina A. El Mously

“…In the current study, a Cu-MOF@N-dGr with peroxidase-mimicking activity was synthesized to design a colorimetric assay for glucose detection. The Cu-MOF@N-dGr was prepared in a two-step process, firstly, nitrogen-doped graphite was synthesized using soft-nitriding and secondly, a solvothermal method was adopted to anchor Cu-MOF on the N-dGr surface. …”
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Automatic Chest CT Image Findings of Novel Coronavirus Pneumonia (COVID-19) Using U-Net Based Convolutional Neural Network by S. Akila Agnes, J. Anitha, A. Arun Solomon

“…The continuing outbreak of COVID-19 pneumonia is globally concerning. Timely detection of infection ensures prompt quarantine of patient which is crucial for preventing the rapid spread of this contagious disease and also supports the patient with necessary medication. …”
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Artificial Intelligence in Medicine and Dentistry: Transforming Research into Clinical Impact by Robert ILEŞAN, Paul FARAGO

“…This presentation explores AI’s impact in two key areas: medical image segmentation and early Parkinson’s disease (PD) detection. Medical image segmentation remains a crucial yet labor-intensive process, traditionally requiring expert input. …”
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Modified triple modular redundancy based fault-tolerant three-phase matrix converter design with AI driven diagnostic capabilities by Faizan Ahmad, Mohaira Ahmad, Faisal Hayat, Sami ud Din, Muhammad Adnan, Arslan Ahmed Amin

“…To prevent system shutdowns and ensure process continuity, this system can detect faulty switches, isolate them, and then replace them with redundant ones. …”
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Development of a Simple HPLC Method for the Analysis of Ergosterol and UV-Enriched Vitamin D₂ in Mushroom Powders by Judit Bajzát, András Misz, József Rácz, Máté Vágvölgyi, Csaba Csutorás, Csaba Vágvölgyi

“…The method, designed for routine analysis, involves a simple sample preparation process combining saponification and solid–liquid extraction, followed by HPLC-UV detection. …”
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Molecular biomarkers in salivary diagnostic materials: Point-of-Care solutions — PoC-Diagnostics and -Testing by Ziyad S. Haidar

“…AI-driven algorithms now process and analyze salivary proteomic data with remarkable accuracy, identifying patterns and biomarkers associated with diseases such as oral cancer at an early stage. …”
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Analyzing social psychological impact on emotional expression through peer communication using crayfish optimization algorithm with deep learning model by Umkalthoom Alzubaidi

“…Initially, the text pre-processing stage contains various levels to clean, normalize, and structure raw text data to improve the performance. …”
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Design of an Intelligent Pear Bagging End-Effector Based on Yolov8 and SGBM Algorithm by Jing Ruijun, Liu JingKai, LiXin, ZhiguoZhao

“…We constrain the matching process based on the model’s detected candidate bounding boxes and binocular prior knowledge, which improves the matching accuracy of the model while reducing the computational load. …”
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