Experimental Study on Stress Evolution and Microseismic Signals under Vibration Conditions of Coal during Excavation and Subsequent Waiting Time by Qifei Wang, Chengwu Li, Pingyang Lyu, Yuechao Zhao, Dihao Ai, Beijing Xie

“…The microseismic signal and the stress evolution law can provide a reasonable explanation for the forward movement of the concentrated stress and coal failure during roadway excavation.…”
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Study on In Situ Stress Distribution Law of the Deep Mine: Taking Linyi Mining Area as an Example by Xuelong Li, Shaojie Chen, Sheng Wang, Meng Zhao, Hui Liu

“…The study of in situ stress measurement and its distribution characteristics has always been a basic and very important work in mine production. …”
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Development and Evaluation of in situ eye gel for delivery of gatifloxacin and betamethasone sodium phosphate by Fatima Mustafa Ali, Athmar Dhahir Habeeb Al-Shohani, Asma Buanz

“…Conclusion: F3 in situ gel was used to produce a simultaneous and prolonged release of the two drugs. …”
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Determination of β-Cyano-L-alanine, γ-Glutamyl-β-cyano-L-alanine, and Common Free Amino Acids in Vicia sativa (Fabaceae) Seeds by Reversed-Phase High-Performance Liquid Chromatogra... by Cristina Megías, Isabel Cortés-Giraldo, Julio Girón-Calle, Javier Vioque, Manuel Alaiz

“…A method for determination of β-cyano-L-alanine, γ-glutamyl-β-cyano-L-alanine and other free amino acids in Vicia sativa is presented. …”
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Personal transformations of the elements of behavioral component of law enforcement officers’ professional activity by N. Ye. Tverdokhliebova

“…MA students use practically the same with third-year students a set of models of coping behavior, search for social support and interaction with people. …”
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The effect of different anesthetics on the incidence of AKI and AKD after neurosurgical procedures. by Vedran Premuzic, Vasilije Stambolija, Marin Lozic, Josip Kovacevic, Vladimir Prelevic, Marina Peklic, Miroslav Scap, Ante Sekulic, Nikolina Basic-Jukic, Slobodan Mihaljevic, Kianoush B Kashani

“…Renal toxicity of sevoflurane is pronounced in hypotension during operation and with a history of diabetes and coronary disease.…”
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Lymphoepithelial Cysts of the Pancreas: CT and MRI Features by Temel Tirkes, Aashish Patel, Harvey Cramer, Sehnaz Evrimler, John M. DeWitt, Mohammad Al-Haddad

“…All of the patients had CT scans and six patients had both a CT and MRI. The final diagnosis was established either by fine-needle aspiration with cytopathology (n=6) or surgical resection (n=7). …”
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Overview of Community-Acquired Pneumonia and the Role of Inflammatory Mechanisms in the Immunopathogenesis of Severe Pneumococcal Disease by Helen C. Steel, Riana Cockeran, Ronald Anderson, Charles Feldman

“…Community-acquired pneumonia (CAP) remains a leading cause of morbidity and mortality among the infectious diseases. …”
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Adversarial patch defense algorithm based on PatchTracker by Zhenjie XIAO, Shiyu HUANG, Feng YE, Liqing HUANG, Tianqiang HUANG

“…The application of deep neural networks in target detection has been widely adopted in various fields.However, the introduction of adversarial patch attacks, which add local perturbations to images to mislead deep neural networks, poses a significant threat to target detection systems based on vision techniques.To tackle this issue, an adversarial patch defense algorithm based on PatchTracker was proposed, leveraging the semantic differences between adversarial patches and image backgrounds.This algorithm comprised an upstream patch detector and a downstream data enhancement module.The upstream patch detector employed a YOLOV5 (you only look once-v5) model with attention mechanism to determine the locations of adversarial patches, thereby improving the detection accuracy of small-scale adversarial patches.Subsequently, the detected regions were covered with appropriate pixel values to remove the adversarial patches.This module effectively reduced the impact of adversarial examples without relying on extensive training data.The downstream data enhancement module enhanced the robustness of the target detector by modifying the model training paradigm.Finally, the image with removed patches was input into the downstream YOLOV5 target detection model, which had been enhanced through data augmentation.Cross-validation was performed on the public TT100K traffic sign dataset.Experimental results demonstrated that the proposed algorithm effectively defended against various types of generic adversarial patch attacks when compared to situations without defense measures.The algorithm improves the mean average precision (mAP) by approximately 65% when detecting adversarial patch images, effectively reducing the false negative rate of small-scale adversarial patches.Moreover, compared to existing algorithms, this approach significantly enhances the accuracy of neural networks in detecting adversarial samples.Additionally, the method exhibited excellent compatibility as it does not require modification of the downstream model structure.…”
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Emergence of power law distributions in protein-protein interaction networks through study bias by David B Blumenthal, Marta Lucchetta, Linda Kleist, Sándor P Fekete, Markus List, Martin H Schaefer

“…Degree distributions in protein-protein interaction (PPI) networks are believed to follow a power law (PL). However, technical and study biases affect the experimental procedures for detecting PPIs. …”
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Digital Twin-Empowered Robotic Arm Control: An Integrated PPO and Fuzzy PID Approach by Yuhao Cen, Jianjue Deng, Ye Chen, Haoxian Liu, Zetao Zhong, Bo Fan, Le Chang, Li Jiang

“…In this paper, we present a digital twin-empowered robotic arm system and propose a control policy using deep reinforcement learning, specifically the proximal policy optimization approach. …”
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Comparative Analysis of Pre-trained based CNN-RNN Deep Learning Models on Anomaly-5 Dataset for Action Recognition by Fayaz Ahmed Memon, Umair Ali Khan, Pardeep Kumar, Imtiaz Ali Halepoto, Farida Memon

“…This comparative analysis may guide the researchers in selecting appropriate models for real-world applications for action recognition. In addition of this, a new dataset is developed called Anomaly-5 that can helps as a valuable resource for training and evaluating action recognition algorithms. …”
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UTILIZACIÓN DEL COMERCIO ELECTRÓNICO EN LAS MEDIANAS EMPRESAS DE PALMIRA - VALLE DEL CAUCA - COLOMBIA - 2010 by José Luis Montaño Hurtado, Julio Cesar Montoya Rendón

“…Como recomendación, se propone que el gobierno y los gremios económicos divulguen, apoyen y capaciten a los empresarios palmiranos para que capitalicen todo el potencial del comercio electrónico a su favor.…”
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Evaluating Safety Issues for Taxi Transport Management by Kayvan Aghabayk, Sina Rejali, Seyed Alireza Samerei, Nirajan Shiwakoti

“…This study aims to evaluate the safety issues of taxi transport management through a case study of the Tehran Taxi Organization. A questionnaire survey was conducted with 22 regional managers and 20 transportation specialists of the Tehran Taxi Organization. …”
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Electrochemical Fingerprint Analyses Using Voltammetry and Liquid Chromatography Coupled with Multivariate Analyses for the Discrimination of Schisandra Fruits by Koichi Machida, Akira Kotani, Tomoya Osaki, Ayaka Kobayashi, Kazuhiro Yamamoto, Hideki Hakamata

“…The data sets of the oxidation current values from voltammograms of SSF and SCF samples ranging from +0.5 to +1.0 V were applied to perform a partial least squares discriminant analysis (PLS-DA). …”
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Protective Role of Black Tea Extract against Nonalcoholic Steatohepatitis-Induced Skeletal Dysfunction by Subhra Karmakar, Sangita Majumdar, Anasuya Maiti, Monalisa Choudhury, Aniruddha Ghosh, Asankur S. Das, Chandan Mitra

“…Conclusion. Results suggest a potential role of BTE as a protective agent against NASH-induced changes in bone metabolism in rats.…”
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The Role of Mechanical Mixing and Biologically Active Additives in Enhancing Cutlet Quality by Tetiana Prylipko, Tetiana Koval, Volodymyr Kostash, Volodymyr Tkachuk, Vita Kostash

“…In the course of the study, a comprehensive analysis of the effect of various parameters of mechanical mixing and the use of various biologically active additives on the structural and mechanical characteristics of the cutlet mass was carried out. …”
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Hybrid LSTM-PSO optimization techniques for enhancing wind power bidding efficiency in electricity markets by Viet Anh Truong, Ngoc Sang Dinh, Thanh Long Duong, Ngoc Thien Le, Cong Dinh Truong, Linh Tung Nguyen

“…It also delivers an optimal wind power bidding strategy, yielding peak annual revenue, while recommending a 16 % reduction in bidding output power variance in models that integrate wind power with thermal power and energy storage systems (ESS). …”
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Age-related morphological changes of the pubic symphyseal surface: using three-dimensional statistical shape modeling by Yuyoung Kim, Kang-Woo Lee, Sookyoung Lee, Eun Jin Woo, Kyung-Seok Hu

“…To bridge this gap, the study utilizes statistical shape modeling (SSM), a versatile tool capable of describing diverse morphological variations within populations. …”
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Generating Rainfall IDF Curves Using IMD Reduction Formula and Choosing the Best Distribution for Babylon City, Iraq by Sajad Khalil Al‐Jalili, Haider M. Zwain, Ali Mohsen Hayder

“…This study examined daily rainfall data collected from the Iraqi Authority of Meteorology and Seismic Monitoring for a period of 32 years, from 1991 to 2022. The IMD reduction formula was used to calculate rainfall intensity for shorter durations (5, 10, 20, 30, 60, 120, 360, 720, and 1440 min) and custom return periods (2, 5, 10, 25, 50, and 100 years). …”
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