Computer Vision Algorithm for the detection of fracture cracks in Oil Hardening Non-Shrinking (OHNS) die steel after machining process by Akshansh Mishra, Vijaykumar S. Jatti, Nitin K. Khedkar, Rahul B. Dhabale, Ashwini V. Jatti

“…This type of neural network receives input from an image and extracts features from the image while also providing learnable parameters to effectively do the classification, detection, and many other tasks. In the present work, U-Net convolutional neural network is implemented on Jupyter platform by using Python programming for fracture surface image segmentation in Oil Hardening Non-Shrinking (OHNS) die steel after the machining process. …”
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Dynamical System Modeling for Disruption in Supply Chain and Its Detection Using a Data-Driven Deep Learning-Based Architecture by Víctor Hugo de la Cruz Madrigal, Liliana Avelar Sosa, Jose-Manuel Mejía-Muñoz, Jorge Luis García Alcaraz, Emilio Jiménez Macías

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Detection and diagnostic process of liver abscess secondary to chemotherapy by mucor indicus in a patient with acute leukemic disease: case report by Hong Liu, Junjie Xia, Ming Guan

“…It is difficult to diagnose, progresses rapidly, and has a high morbidity and mortality rate. …”
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Comprehensive surveillance and molecular detection of the Nipah virus in fruit bats (Pteropus vampyrus) across Indonesia: Insights from 2023 to 2024 by Reviany V. Nidom, Setyarina Indrasari, Dhani Prakoso, Astria N. Nidom, Balqis Afifah

“…The findings emphasize the urgent need for a continuous, nationally coordinated surveillance program integrating wildlife, livestock, and human health sectors. …”
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Analysis of Acoustic Emission Waveforms by Wavelet Packet Transform for the Detection of Crack Initiation Due to Fretting Fatigue in Solid Railway Axles by Marta Zamorano, María Jesús Gómez, Cristina Castejon, Michele Carboni

“…Acoustic emission techniques were used to monitor the damage progression, and post-processing of the emitted signals, by using wavelet-based tools, was conducted to identify early indicators of crack formation. …”
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Frequent mutations in EGFR, KRAS and TP53 genes in human lung cancer tumors detected by ion torrent DNA sequencing. by Xin Cai, Jianhui Sheng, Chuanning Tang, Vijayalakshmi Nandakumar, Hua Ye, Hong Ji, Haiying Tang, Yu Qin, Hongwei Guan, Feng Lou, Dandan Zhang, Hong Sun, Haichao Dong, Guangchun Zhang, Zhiyuan Liu, Zhishou Dong, Baishuai Guo, He Yan, Chaowei Yan, Lu Wang, Ziyi Su, Yangyang Li, Lindsey Jones, Xue F Huang, Si-Yi Chen, Taihua Wu, Hongli Lin

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Colorimetric Detection of microRNA-378 Based on Y-Shaped Structure Formed by Gold Nanoparticles and Catalytic Hairpin Self-Assembly by Yahui Gao, Jinru Pan, Bingyuan Fan, Shan Wang, Qian Wang, Wanru Liu, Fang Hu, Wei Meng

“…The timely and accurate detection of cancer is crucial for preventing disease progression and for the early treatment of confirmed cases. …”
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TextNeX: Text Network of eXperts for Robust Text Classification—Case Study on Machine-Generated-Text Detection by Emmanuel Pintelas, Athanasios Koursaris, Ioannis E. Livieris, Vasilis Tampakas

“…Efficient and accurate text classification is essential for a wide range of natural language processing applications, including sentiment analysis, spam detection and machine-generated text identification. …”
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Non-Contact Fall Detection System Using 4D Imaging Radar for Elderly Safety Based on a CNN Model by Sejong Ahn, Museong Choi, Jongjin Lee, Jinseok Kim, Sungtaek Chung

“…Progressive global aging has increased the number of elderly individuals living alone. …”
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Integrated Single-Step Terahertz Metasensing for Simultaneous Detection Based on Exosomal Membrane Proteins Enables Pathological Typing of Gastric Cancer by Qingzhe Jia, Zhaofu Ma, Yujia Wang, Mingjin Zhang, Guijun Zou, Bin Lan, Songyan Li, Zeqiu Lao, Wenbin Shen, Jing Lou, Yanan Jiao, Xiaohui Du

“…Exosomes (Exos) are emerging as noninvasive biomarkers for diagnosis and progression monitoring of gastric cancer (GC). However, the heterogeneity discrimination and ultrasensitive quantification of Exos presents a considerable analytical challenge, thereby impeding severely their clinical application. …”
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Evaluating the In Signia IFI27 expression assay for detecting viral respiratory infection compared to a traditional gene normalisation assay by Tiana M. Pelaia, Karan Kim, Nicole Lima, Claire Gibbs, Lee M. Smith, Sally Teoh, Ya Wang, Colin Denver, Elisa Mokany, Alison Todd, Sam Orde, Benjamin Tang, Anthony McLean, Maryam Shojaei

“…Notably the In Signia assay was more sensitive in detecting viral infection among hospital patients. …”
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Early Detection of Surface Mildew in Maize Kernels Using Machine Vision Coupled with Improved YOLOv5 Deep Learning Model by Yu Xia, Ao Shen, Tianci Che, Wenbo Liu, Jie Kang, Wei Tang

“…Mildew in maize kernels is typically caused by various fungi, necessitating prompt detection and treatment to minimize losses during harvest and storage. …”
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Incidentally detected diffuse multiple rice-grain soft tissue calcifications on plain X-rays: hidden implications and further approach by Gautam Shubhankar, Vikas Kumar Panwar, Md Taher Mujahid, Ankur Mittal, Arup Kumar Mandal

“…Abstract Introduction Incidentally detected "rice-grain" calcifications on X-ray suggest underlying systemic conditions with significant implications. …”
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Classification of tree mortality following drought-defoliation interaction using single date Landsat imagery and comparison to aerial detection surveys by Danielle N. Tanzer, Chandi Witharana, Robert T. Fahey

“…We applied random forest classification to identify mortality occurrence and severity using single-date Landsat-8 imagery and compared outcomes to annual USDA Insect and Disease Detection Surveys (IDS). Training data were produced by manually delineating mortality visible in high-resolution (1 m) 2018 US National Agriculture Imagery Program imagery and validated against field plot data. …”
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Detection of GenAI-produced and student-written C# code: A comparative study of classifier algorithms and code stylometry features by Adewuyi Adetayo Adegbite, Eduan Kotzé

“…Meanwhile, detecting GenAI code and differentiating between GenAI-produced and human-written code are becoming increasingly challenging. …”
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An Improved Model for Online Detection of Early Lameness in Dairy Cows Using Wearable Sensors: Towards Enhanced Efficiency and Practical Implementation by Xiaofei Dai, Guodong Cheng, Lu Yang, Yali Wang, Zhongkun Li, Shuqing Han, Jifang Liu

“…The recall and F1 score for lameness, including early and severe cases, reached 89.11% and 88.93%, demonstrating potential for early and progressive lameness detection. This study improves lameness detection efficiency and validates the feasibility and practical value of wearable sensor-based gait analysis for dairy cow health management, providing new approaches and technical support for monitoring and early intervention on large-scale farms.…”
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Porcine Nose Atrophy Assessed by Automatic Imaging and Detection of <i>Bordetella bronchiseptica</i> and Other Respiratory Pathogens in Lung and Nose by Hanna Lichterfeld, Sara Trittmacher, Kathrin Gerdes, Kathrin Schmies, Joaquín Miguel, Irene Galé, Alba Puigredon Fontanet, Isaac Ballarà, Krista Marie Tenbrink, Isabel Hennig-Pauka

“…All pigs showed various degrees of inflammatory lung tissue alterations, and 35.5% of the pigs had atrophy of the nasal turbinates with no relation to detection rates of <i>B. bronchiseptica</i> (54.5%) and <i>P. multocida</i> (29.0%) in the nose. …”
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Urinary MicroRNA-21 for Prostate Cancer Detection Using a Silver Nanoparticle Sensor: A Promising Diagnostic Tool by See-Tong Pang, Yueh-Er Chiou, Jasmine Lim, Yi-Chun Zhang, Wen-Zhen Zeng, Teng Aik Ong, Wen-Hui Weng

“…The results strongly suggest that the proposed miR-21 biosensor can be used as an auxiliary screening tool for the early detection of PCa and may effectively facilitate tracking of the progression of PCa, thus enabling more accurate healthcare decision making.…”
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Exonuclease-III assisted specific target recognition cooperating with primer exchange reaction for sensitive and label-free microRNA detection by Xiaoqin Fu, Xiaoyan Fu, Didi Wu, Yunyao Lu

“…Abstract MicroRNAs (miRNAs) play a crucial regulatory role in biological processes and are closely associated with disease progression. The accurate identification of miRNA biomarkers holds significant potential for early disease diagnosis and therapeutic intervention. …”
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Assessing variability and detecting the effective traits on yield of chickpea (Cicer arietinum L.) promising lines under drought stress condition by Sayyed Saeed Moosavi, Mohammad Reza Abdollahi, Fatemeh Abdi, Homayoun Kanouni

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