Advanced Multi-Scale CNN-BiLSTM for Robust Photovoltaic Fault Detection by Xiaojuan Zhang, Bo Jing, Xiaoxuan Jiao, Ruixu Yao

“…The increasing deployment of photovoltaic (PV) systems necessitates robust fault detection mechanisms to ensure operational reliability and safety. …”
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In vivo detection of extrapancreatic insulin gene expression in diabetic mice by bioluminescence imaging. by Xiaojuan Chen, Courtney S Larson, Jason West, Xiaomin Zhang, Dixon B Kaufman

“…An average of 5.7 fold increase in the liver signal intensity was detected in the mice that were exposed to hyperglycemia for 8 days. …”
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Real time wire rope detection method based on Rockchip RK3588 by Mengpeng Qian, Yong Wang, Shaoqing Liu, Zhanghou Xu, Zhenshan Ji, Ming Chen, Hailong Wu, Zuchao Zhang

“…This paper’s innovation lies not in creating algorithmic components from scratch, but in their synergistic integration and targeted optimization to solve the specific challenges of real-time defect detection on resource-constrained edge devices. To optimize the Neural Network Processing Unit (NPU) for computational performance, a thread pool is implemented with the C++ programming language to partition and accelerate the output processing of the model. …”
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Application of Modern Technical Means of Chemical Reconnaissance and Control for the Detection and Identification of Explosives by V. A. Inozemcev, I. N. Efimov, A. A. Pozvonkov, А. S. Samorodov, V. N. Ponomarev, S. S. Kolbinev

“…The purpose of this work is to analyze the possibilities of using modern technical means of chemical reconnaissance and control for the detection and identification of explosives. In order to achieve this goal, the authors assessed the analytical characteristics and features of the technical means of chemical reconnaissance and the indication methods implemented in them to determine the possibility of detecting and identifying the components of the EDs. …”
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Optimizing Pre-Trained Code Embeddings With Triplet Loss for Code Smell Detection by Ali Nizam, Ertugrul Islamoglu, Omer Kerem Adali, Musa Aydin

“…An experimental dataset that contains code from Java, Python, and PHP programming languages and 4 different code smells is created by collecting code from open-source repositories on GitHub. …”
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Detection of Amylin-β-amyloid Hetero-Oligomers by Enzyme-Linked Immunosorbent Assay by Noah Leibold, Deepak Kotiya, Nirmal Verma, Florin Despa

“…Additionally, using AD model rats, we provided evidence that our assay can be employed for the detection of amylin-Aβ in blood. This assay and protocol are important innovations in the field of AD research because they meet an unmet need to detect mixed amyloid plaques that, if targeted therapeutically, could reduce AD progression and severity.…”
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Intraoperative predictive model for the detection of metastasis in non-sentinel axillary lymph nodes by José Antonio García-Mejido, Miguel Sanchez-Sevilla, Rocio García-Jimenez, Ana Fernández-Palacín, José Antonio-Sainz

“…These parameters were progressively added according to the simplicity of their evaluation and their predictive value to detect metastasis in non-sentinel lymph-nodes. …”
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САР1 AS A SERUM MARKER FOR EARLY DETECTION OF LARYNGEAL AND HYPOPHARYNGEAL CANCERS by G. V. Kakurina, D. A. Shishkin, O. V. Cheremisina, I. V. Kondakova, E. L. Choinzonov

“…Currently, there are no available markers that can accurately predict the risk of progression of epithelial dysplasia to squamous cell carcinoma. …”
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First Detection of West Nile Virus by Nasopharyngeal Swab, Followed by Phylogenetic Analysis by Carlo Zuddas, Sergio Piras, Stefano Cappai, Federica Loi, Giulia Murgia, Giantonella Puggioni, Giovanni Savini, Federica Monaco, Andrea Polci, Fabrizia Valleriani, Giorgia Amatori, Valentina Curini, Maurilia Marcacci, Germano Orrù, Antonio Ledda, Elena Poma, Riccardo Cappai, Ferdinando Coghe

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Insights into correlations between H. pylori infection and chronic hepatitis C disease progression: A Comparative study in the Egyptian population by Ahmed Ragab, Asmaa M Elbrolosy, Naglaa S Elabd, Ayman Elgamal, Mahmoud Rizk, Ali Nada, Marwa M Omar, Sama S Eleowa, Sanaa S Hamam, Amira S Elmaghraby

“… Background: Accumulating evidence implicated H. pylori infection in the disease progression of patients with chronic liver. Highly virulent H. pylori mediate proinflammatory cytokines and ensuing inflammatory alterations. …”
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Detecting Malicious URLs Using Classification Algorithms in Machine Learning and Deep Learning by Sira Astour, Ahmad Hasan

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DNA: detecting early signs of neurodegenerative diseases through activity and sleep analysis by Hasina Attaullah, Sanaullah Sanaullah, Annika Peters, Qazi Arbab Ahmed, Justin Baudisch, Thorsten Jungeblut

“…Early detection of neurodegenerative diseases, such as Alzheimers and Parkinsons, is essential for timely intervention, which can improve patients' quality of life and slow down disease progression. …”
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Multimodal Detection of Agitation in People With Dementia in Clinical Settings: Observational Pilot Study by Abeer Badawi, Somayya Elmoghazy, Samira Choudhury, Sara Elgazzar, Khalid Elgazzar, Amer M Burhan

“… Abstract BackgroundDementia is a progressive neurodegenerative condition that affects millions worldwide, often accompanied by agitation and aggression (AA), which contribute to patient distress and increased health care burden. …”
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Utilizing artificial intelligence for the detection of hemarthrosis in hemophilia using point-of-care ultrasonography by Pascal N. Tyrrell, María Teresa Alvarez-Román, Nihal Bakeer, Brigitte Brand-Staufer, Victor Jiménez-Yuste, Susan Kras, Carlo Martinoli, Mauro Mendez, Azusa Nagao, Margareth Ozelo, Janaina B.S. Ricciardi, Marek Zak, Johannes Roth

“…This difficulty is compounded as hemophilic arthropathy progresses. Objectives: Our system aims to utilize artificial intelligence and ultrasonography (US; point-of-care and handheld) to enable providers, and ultimately patients, to detect joint bleeds at the bedside and at home. …”
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DNA methylation in esophageal cancer: technological advances and early detection clinical applications by Jiyu Tang, Jiyu Tang, Xiaoming Shi, Xiaoming Shi, Chao Song, Chao Song, Wenjing Zhang, Wenjing Zhang, Yan Yan, Yan Yan, Linchao Dai, Linchao Dai, Di Wu, Di Wu, Jie Qiu, Jie Qiu, Jiahuan Liu, Jiahuan Liu, Tao Wang, Tao Wang, Zuhong Lu, Zuhong Lu, Zuhong Lu

“…As our comprehension of the role of DNA methylation in cancer progression deepens, the development of targeted therapies based on methylation profiles may also become a reality. …”
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Enhancing surgical object detection in laparoscopic cholecystectomy with explicit positional relationship modeling by Yinan Xu, Yutong Ban, Yue Zhao, Dolores Krauss, Christiane Bruns, Jennifer Eckhoff, Hans Fuchs

“…In this study, a relation-based model was proposed to enhance surgical object detection in LC images. The model employs a positional relation encoder and refines progressive attention mechanism to analyze object relationships. …”
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The Role of Paraclinical Investigations in Detecting Inflammation in Children and Adolescents with Obesity and Metabolic Syndrome by Mihaela-Andreea Podeanu, Ștefănița Bianca Vintilescu, Claudiu Marinel Ionele, Raluca Elena Sandu, Carmen Elena Niculescu, Mirela-Marinela Florescu, Mioara Desdemona Stepan

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Detection and Classification Expression of Visual Information Based on Artificial Intelligent Review Work by Nashwan J. Hussein, Amar A. Mahawish, Ibrahim Sami Attar

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Constructing a Software Tool for Detecting Face Mask-wearing by Machine Learning by Ashraf Abdulmunim Abdulmajeed, Tawfeeq Mokdad Tawfeeq, Marwa Adeeb Al-jawaherry

“…The purpose of this paper is to construct a software tool called Face Mask Detection (FMD) to detect any face that does not wear a mask in a specific public area by using CCTV (closed-circuit television). …”
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The diagnostic utility of glycosaminoglycans (GAGs) in the early detection of cancer: a systematic review by Sarah Douglah, Reem Khalil, Reem Kanaan, Moza Almeqbaali, Nada Abdelmonem, Marc Abdelmessih, Yousr Khairalla, Natheer H. Al-Rawi

“…Conclusion GAGs hold potential as early cancer detection biomarkers. Further validation with larger, diverse populations is needed to validate their diagnostic accuracy and clinical utility.…”
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