Deep Learning‐Based 3D Microseismic Event Direct Location Using Simultaneous Surface and Borehole Data by Yuanyuan Yang, Omar M. Saad, Tariq Alkhalifah

“…The proposed method, based on distinct feature extraction blocks for the surface and borehole data, has potent compatibility for embracing diverse data sets. …”
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Realistic synthetic dataset generation for cyber-physical systems: a performance evaluation by Yaa Acquaah, Kaushik Roy

“…However, the correlation analysis revealed differences in feature relationships between real and synthetic datasets. …”
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Interfacial adhesion between dissimilar thermoplastics fabricated via material extrusion-based multi-material additive manufacturing by Felix Richter, Dazhong Wu

“…MMAM has been utilized to fabricate components with unique mechanical properties for applications such as damage detection, medical devices, sensors, and soft robotics. …”
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Leveraging machine learning for enhanced and interpretable risk prediction of venous thromboembolism in acute ischemic stroke care. by Youli Jiang, Ao Li, Zhihuan Li, Yanfeng Li, Rong Li, Qingshi Zhao, Guisu Li

“…Predictive models were developed using machine learning algorithms, including Gradient Boosting Machine (GBM), Random Forest (RF), and Logistic Regression (LR). Feature selection involved stepwise logistic regression and LASSO, with SHapley Additive exPlanations (SHAP) used to enhance model interpretability. …”
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Fusion of Personalized Federated Learning (PFL) with Differential Privacy (DP) Learning for Diagnosis of Arrhythmia Disease. by Syed Mohsin Bokhari, Sarmad Sohaib, Muhammad Shafi

“…By employing gated recurrent units (GRUs) for temporal sequence modeling along with feature fusion techniques and local differential privacy enforcement, FLPMDP ensures robust classification performance with data confidentiality. …”
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CircDock6 drives metabolic dysfunction–associated steatotic liver disease progression in mice and mouse hepatocytes via mmu-let-7g-5p/insulin-like growth factor 1 receptor regulati... by Hongpeng Lu, Xiaoyun Ding, Peifei Li

“…Methods Quantitative reverse transcription polymerase chain reaction was performed to determine circDock6 expression patterns in liver tissues from high-fat diet- and standard diet-fed mice in vivo. Triglyceride detection, western blot analysis, and oil red O staining were performed to evaluate the regulatory effect of circDock6 on metabolic dysfunction–associated steatotic liver disease in vitro. …”
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The quality of early breast cancer diagnosis in urban women by doctors of adult polyclinics by V. A. Kozlov, B. A. Polyakov, D. L. Mushnikov, E. L. Funtikova, D. A. Nedavniy

“…Analysis of expert opinions on advanced cases of breast cancer showed that the bulk of the defects detected are preventable and are associated with low cancer of doctors and failure to fully and properly perform the standard of examination oncopathology.…”
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Nerve ultrasound helps to distinguish CIDP patients with diabetes from patients with diabetic polyneuropathy by Bianka Heiling, Katharina Kneer, Winnie He, Thomas Lehmann, Nicolle Müller, Christof Kloos, Alexander Grimm, Hubertus Axer

“…An UPSS ≥ 2.5 had a sensitivity of 77.4% and a specificity of 68.7% to detect CIDP. An ONLS ≥ 1.5 had a sensitivity of 87.1% and a specificity of 81.9% to detect CIDP. …”
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Spatiotemporal prevalence of COVID-19 and SARS-CoV-2 variants in Africa by Li-Ping Gao, Can-Jun Zheng, Ting-Ting Tian, Alie Brima Tia, Michael K. Abdulai, Kang Xiao, Cao Chen, Dong-Lin Liang, Qi Shi, Zhi-Guo Liu, Xiao-Ping Dong, Xiao-Ping Dong

“…Strengthening the capacity of health institutions across African countries is essential for the timely detection of new SARS-CoV-2 variants and, consequently, for preparedness against future COVID-19 pandemics and other potentially infectious disease outbreaks.…”
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Epidemiological and genetic characteristics of enteroviruses associated with hand, foot, and mouth disease in Jiaxing, China from 2019 to 2022 by Shencong Lv, Yamei Zhou, Jimei Ji, Yong Yan, Guoying Zhu

“…A phylogenetic analysis revealed that the subgenogroups CVA6 D3a, CVA10 F, and CVA16 B1a B1b were predominant in Jiaxing. …”
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Identification of priority bacterial groups to optimize sanitary procedures at meat processing plants by A. A. Makhova, Yu. K. Yushina, E. V. Zaiko, M. A. Grudistova

“…At MPP No. 2, which allows the acceptance of raw materials with defects, a significant counts of Staphylococcus genus microorganisms were detected. Pseudomonas, Carnobacterium, and Enterobacteriaceae genera were detected at MPPs No. 3 and No. 4, where systematic spoilage of finished products was revealed. …”
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Richard Wright and Fyodor Dostoevsky: Crime and Punishment as a Praetext of Native Son and The Outsider by Olga Yu. Panova

“…Striking similarities between Dostoevsky’s and Wright’s novels are evident in plot construction (detective story formula, provocative chatters of the criminal and the detective, etc.), setting, atmosphere, characters and their relationships, as well as in philosophical dilemmas and conflicts. …”
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CXR-Seg: A Novel Deep Learning Network for Lung Segmentation from Chest X-Ray Images by Sadia Din, Muhammad Shoaib, Erchin Serpedin

“…In chest X-ray analysis, however, challenges remain in accurately segmenting and classifying organs such as the lungs, heart, diaphragm, sternum, and clavicles, as well as detecting abnormalities in the thoracic cavity. …”
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Action Recognition in Videos through a Transfer-Learning-Based Technique by Elizabeth López-Lozada, Humberto Sossa, Elsa Rubio-Espino, Jesús Yaljá Montiel-Pérez

“…The proposed method comprises four stages: (1) human detection and tracking, (2) motion estimation, (3) feature extraction, and (4) action recognition using a two-stream model. …”
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Rubinstein Taybi syndrome caused by EP300 gene mutation: what we learned from two cases and literature review by Yefeng Wang, Xinghan Wu, Sha Zhao, Ningan Xu

“…The candidate variants were verified by Sanger sequencing in the pedigree, followed by pathogenicity analysis.ResultsThe main clinical presentations of the two cases were growth retardation, special facial features, and mild intellectual disability. …”
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Dark Surfer-A Dark Pattern Analyzer & Classifier by Babu K. Srinivas, Nithin Bangari Sai, Raghuram E., Bharath A.

“…To avoid us cases we had come up with a website, which helps in analysing the dark patterns and detect them using URLS. We develop a classifier trained on a dataset of label UI elements, encompassing various types of dark patterns and benign design features. …”
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Prediction of black soldier fly larval sex and morphological traits using computer vision and deep learning by Sarah Nawoya, Quentin Geissmann, Henrik Karstoft, Kim Bjerge, Roseline Akol, Andrew Katumba, Cosmas Mwikirize, Grum Gebreyesus

“…The study explores algorithms utilizing You-Only-Look-Once (YOLOv8) in detection and segmentation, ResNet for feature extraction and classification, and regression analysis mechanisms. …”
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Machine-Learning-Assisted Aroma Profile Prediction in Five Different Quality Grades of Nongxiangxing Baijiu Fermented During Summer Using Sensory Evaluation Combined with GC×GC–TOF... by Dongliang Shao, Wei Cheng, Chao Jiang, Tianquan Pan, Na Li, Mengmeng Li, Ruilong Li, Wei Lan, Xianfeng Du

“…Principal component analysis (PCA) combined with orthogonal partial least squares discriminant analysis (OPLS-DA) enabled us to distinguish different samples, with eight VOCs emerging as primary contributors to the aroma of the samples, possessing variable importance in projection (VIP) values > 1. …”
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Metabolomics Insights into Salivary Profile in Dogs with <i>Babesia canis</i> Infection by Josipa Kuleš, Ivana Rubić, Dina Rešetar Maslov, Maša Efendić, Krešimir Martinković, Elizabeta Pongrac, Iva Šmit, Dalibor Potočnjak, Renata Barić Rafaj, Vladimir Mrljak

“…Metabolomic profiling was performed using a Dionex UltiMate 3000 UHPLC system coupled with a Thermo Orbitrap Q Exactive mass spectrometer. An untargeted analysis detected 2257 salivary features, of which, 868 were significantly altered, with seven metabolites identified by reference to standards. …”
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JWST/NIRSpec Observations of Brown Dwarfs in the Orion Nebula Cluster by K. L. Luhman, C. Alves de Oliveira, I. Baraffe, G. Chabrier, E. Manjavacas, R. J. Parker, P. Tremblin

“…It is the coolest and least massive object that has detections of these ice features. In addition, it appears to be the first candidate for a protostellar brown dwarf that has spectroscopy confirming its late spectral type.…”
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