Automatic detection of optic canal fractures and recognition and segmentation of anatomical structures in the orbital apex based on artificial intelligence by Yu-Lin Li, Yu-Hao Li, Mu-Yang Wei, Guang-Yu Li

“…Timely and accurate diagnosis and treatment are crucial for preserving visual function. However, diagnosing OCF can be challenging for inexperienced clinicians due to atypical OCF changes in imaging studies and variability in optic canal anatomy. …”
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Effect of long-term exercise-based interventions on thyroid function in hypothyroidism: A systematic review and meta-analysis of randomized controlled trials by Habiba Sundus, Sohrab Ahmad Khan, Sahar Zaidi, Charu Chhabra, Irshad Ahmad, Hiba Khan

“…Exercise interventions, alongside conventional treatment, appear to improve thyroid function by reducing TSH and increasing T4 levels.…”
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Application of Convolutional Neural Network (CNN) Algorithm with ResNet-101 Architecture for Monkey Pox Detection in Human by Al Fathir Rizal Januar, Jamaludin Indra, Dwi Sulistya Kusumaningrum, Sutan Faisal

“…It is transmitted through direct contact with skin lesions, respiratory droplets, or contaminated objects. Early and accurate detection is crucial to reduce the risk of transmission and improve treatment effectiveness. …”
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KT-SRAF-LVD-Based Signal Coherent Integration Method for High-Speed Target Detecting in Airborne Radar by Wenwen Xu, Yuhang Wang, Jianyin Cao, Hao Wang

“…Therefore, developing motion error compensation and coherent integration methods with reduced computational complexity and a high detection performance is of critical importance. …”
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Short‐term echocardiographic evaluation by global longitudinal strain in patients with heart failure treated with sacubitril/valsartan by Simone Mazzetti, Chiara Scifo, Raffaele Abete, Davide Margonato, Margherita Chioffi, Jessica Rossi, Matteo Pisani, Giovanni Passafaro, Massimiliano Grillo, Daniele Poggio, Andrea Mortara

“…Global longitudinal strain (GLS) assessment uses a semi‐automatic procedure to provide a reliable and repeatable method that improves the detection of early changes of contractile function. …”
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Latent Space Classification for Cardiovascular Disease Detection: A Deep Convolutional Autoencoder-Based Approach for Telemedicine Applications by G Antoni Gracy, Sheena Christabel Pravin

“…Cardiovascular disease is a leading global cause of mortality, often due to abnormal heart function. Early detection and timely treatment are essential to prevent fatalities. …”
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Application of Improved YOLOv8 Image Model in Urban Manhole Cover Defect Management and Detection: Case Study by Yanqiong Ding, Baojiang Han, Hua Jiang, Hao Hu, Lei Xue, Jiasen Weng, Zhili Tang, Yuzhang Liu

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Can Broadening the Kidney Biopsy Criteria Reduce Misleading Diagnoses in Young Patients with End-Stage Renal Diseases? A Survey on the Sicilian Registry of Nephrology, Dialysis, an... by Vincenzo Calabrese, Giovanni Conti, Giulio Geraci, Ligia J. Dominguez, Valeria Cernaro, Maria Teresa Zicarelli, Guido Gembillo, Elisa Longhitano, Domenico Santoro

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Functional circuits of LYL1 controlled by supraphysiological androgen in prostate cancer cells to regulate cell senescence by Mehdi Heidari Horestani, Katrin Schindler, Aria Baniahmad

“…Regulatory feedback loops were identified by rescue experiments. Functional analysis revealed that KD of BHLHE40 reduces whereas LYL1 KD enhances p27kip1 levels. …”
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A high‐throughput RNAi screen for detection of immune‐checkpoint molecules that mediate tumor resistance to cytotoxic T lymphocytes by Nisit Khandelwal, Marco Breinig, Tobias Speck, Tillmann Michels, Christiane Kreutzer, Antonio Sorrentino, Ashwini Kumar Sharma, Ludmila Umansky, Heinke Conrad, Isabel Poschke, Rienk Offringa, Rainer König, Helga Bernhard, Arthur Machlenkin, Michael Boutros, Philipp Beckhove

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Real-time detection and identification of fish skin health in the underwater environment based on improved YOLOv10 model by Duanrui Wang, Meng Wu, Xingyue Zhu, Qiwei Qin, Shaowen Wang, Haibin Ye, Kaiyuan Guo, Chi Wu, Yi Shi

“…DCW-YOLO substitutes the CIoU loss function in YOLOv10 with the NWD loss function, thereby improving the model’s ability to detect densely packed targets. …”
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Fault Detection and Identification for Nonlinear Process Based on Inertia-Based KEPCA and a New Combined Monitoring Index by Loubna El Fattahi, El Hassan Sbai

“…KEPCA plays double roles. First, it reduces the data in the high-dimensional space. Second, it constructs the model. …”
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Improved longevity and in vivo performance of neurotransmitter detection using 30 µm cone-shaped carbon fiber microelectrode by Haeun Kwon, Hyun-U Cho, Jeongeun Sim, Kyung-Jun Boo, Kyung-Jun Boo, Yumin Kang, Sangmun Hwang, Youngjong Kwak, Jaehyun Jang, Kyung Min Kim, Se Jin Jeon, Chan Young Shin, Kevin E. Bennet, Kevin E. Bennet, Yoonbae Oh, Yoonbae Oh, Hojin Shin, Hojin Shin, Kendall H. Lee, Kendall H. Lee, Dong Pyo Jang, Dong Pyo Jang

“…However, in vivo dopamine detection was significantly reduced in 30 µm bare CFMEs (12.9 ± 8.1 nA, n = 5) relative to 7 µm CFMEs (24.6 ± 8.5 nA, n = 5), likely due to tissue damage. …”
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Android malware detection via efficient application programming interface call sequences extraction and machine learning classifiers by Tanjie Wang, Yueshen Xu, Xinkui Zhao, Zhiping Jiang, Rui Li

“…We generate the transition matrix as classification features and investigate three types of machine learning classifiers to complete the malware detection task. The experiments are performed on real‐world Android Packages (APKs), and the results demonstrate that our method significantly reduces the running time and produces high detection accuracy.…”
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ratiometric detection of nucleic acid using hybridization chain reaction and color-switching DNA-templated silver nanoclusters by Jessica Sui Ying Ooi, Zheng Wei Wong, Siu Yee New

“…Abstract Enzyme-free nucleic acid amplification techniques, such as hybridization chain reaction (HCR), are often coupled with various nanomaterials to fabricate biosensors for nucleic acid amplification and detection, thereby reducing reliance on sophisticated instruments and complicated protocols. …”
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Mixed-Effects Model to Assess the Effect of Disengagements on Speed of an Automated Shuttle with Sensors for Localization, Navigation, and Obstacle Detection by Abhinav Grandhi, Ninad Gore, Srinivas S. Pulugurtha

“…The automated shuttle uses sensors for localization, navigation, and obstacle detection. A multi-level mixed-effects Gaussian regression model with a log-link function was employed to analyze the effect of disengagement events on the automated shuttle speed, while accounting for control variables such as roadway geometry, weather conditions, time-of-the-day, day-of-the-week, and number of intermediate stops. …”
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MoSViT: a lightweight vision transformer framework for efficient disease detection via precision attention mechanism by Yuanqi Chen, Aiping Wang, Ziyang Liu, Jie Yue, Enxu Zhang, Fei Li, Ning Zhang

“…Built on the MobileViT V2 framework, MoSViT integrates the CLA focus mechanism, DRB module, MoSViT Block, and the LeakyRelu6 activation function to enhance feature extraction accuracy while reducing computational complexity. …”
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Experimental Investigation of Concrete Crack Depth Detection Using a Novel Piezoelectric Transducer and Improved AIC Algorithm by Weijie Li, Jintao Zhu, Kaicheng Mu, Wenwei Yang, Xue Zhang, Xuefeng Zhao

“…The type of transducer and the algorithm for extracting the arrival time of the ultrasonic signal significantly impact the accuracy of crack depth detection. To reduce the energy loss in piezoceramic-based sensors, a high-performance piezoceramic-enabled smart aggregate (SA) was employed as the ultrasonic transducer. …”
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Autoimmune gastritis detection from preprocessed endoscopy images using deep transfer learning and moth flame optimization by Fadiyah M. Almutairi, Sara A. Althubiti, Shabnam Mohamed Aslam, Habib Dhahri, Omar Alhajlah, Nitin Mittal

“…Autoimmune Gastritis (AIG) is a chronic inflammatory GTD and timely detection and treatment is crucial to reduce its harshness. …”
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Detection of Cognitive Performance Deterioration Due to Cold-Air Exposure in Females Using Wearable Electrodermal Activity and Electrocardiogram by Youngsun Kong, Riley McNaboe, Md Billal Hossain, Hugo F. Posada-Quintero, Krystina Diaz, Ki H. Chon, Jeffrey Bolkhovsky

“…Our results demonstrate the feasibility of detecting performance deterioration from females who underwent cold exposure using wearable EDA and ECG, allowing for preventive measures to reduce risk in cold environments, especially for female military personnel.…”
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