Fractional tackles: leveraging player tracking data for within-play tackling evaluation in American football by Quang Nguyen, Ruitong Jiang, Meg Ellingwood, Ronald Yurko

“…Abstract Tackling is a fundamental defensive move in American football, with the main purpose of stopping the forward motion of the ball-carrier. …”
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Revolutionizing Underwater Sensor Performance: Tackling Rayleigh Scattering Challenges by Pseudo Random Noise by Qihao Hu, Fan Shang, Lina Ma, Wujie Wang, Yi Yu, Yujie Bian, Xiaoqian Zhu, Junqiang Song

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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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Traumatic Hip Dislocation in an NCAA DI Football Player with Occult Sequelae: A Case Report by Daniel W Safford, Marisa Pontillo, Brian J Sennett

“…# Background and Purpose American football generates the most sports-related injuries in the United States, with tackling as the leading injury mechanism. Overall injury rate at the collegiate level has been reported as 8.61 per 1,000 athlete exposures (AEs) – twice the rate of high school levels; competition injury rates are reported as high as 36.94/1000 AEs. …”
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Graphene and its derivatives (GO, rGO and GQD): a comprehensive review of their role in combating COVID-19 by Spandan Guha, Shanta Chakrabarty

“…The COVID-19 pandemic has ignited a search for innovative solutions to tackle viral transmission and ensure early detection. …”
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A Comparative Analysis of Support Vector Machine and K-Nearest Neighbors Models for Network Attack Traffic Detection by Han Zhuoxi

“…Moreover, the research highlights future directions to strengthen the resilience and precision of network intrusion detection systems, ensuring the development of more effective defenses against the ever-evolving landscape of cybersecurity risks.…”
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Cognitive Wireless Networks Based Spectrum Sensing Strategies: A Comparative Analysis by Anandakumar Haldorai, Jeevanandham Sivaraj, Munivenkatappa Nagabushanam, Michaelraj Kingston Roberts

“…As a modern innovation, cognitive radio aims to tackle this challenge by proactively utilizing the spectrum. …”
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A cooperative jamming decision-making method based on multi-agent reinforcement learning by Bingchen Cai, Haoran Li, Naimin Zhang, Mingyu Cao, Han Yu

“…Results show that MA-CJD significantly reduces the time defense units are detected while minimizing jamming resource consumption. …”
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ImagTIDS: an internet of things intrusion detection framework utilizing GADF imaging encoding and improved Transformer by Peng Wang, Yafei Song, Xiaodan Wang, Xiangke Guo, Qian Xiang

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Graph Neural Network-Based Approach for Detecting False Data Injection Attacks on Voltage Stability by Shahriar Rahman Fahim, Rachad Atat, Cihat Kececi, Abdulrahman Takiddin, Muhammad Ismail, Katherine R. Davis, Erchin Serpedin

“…This provides strong evidence for the effectiveness of proposed strategy in tackling cyberattacks on voltage regulation.…”
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Enhancing Security With Hybrid Active- Passive RIS: A DRL Approach Against Eavesdropping and Jamming by Abdul Wahid, Syed Zain Ul Abideen, Nouman Imtiaz, Mian Muhammad Kamal, Abdullah Alharbi, Amr Tolba, M. A. Al-Khasawneh, Inam Ullah

“…To tackle this, we employ a Deep Reinforcement Learning (DRL) approach using the Deep Deterministic Policy Gradient (DDPG) algorithm, enabling efficient and dynamic optimization. …”
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Antibacterial Activity of Rationally Designed Antimicrobial Peptides by Marius B. Tincho, Thureyah Morris, Mervin Meyer, Ashley Pretorius

“…The reasons may either be the antibiotic resistance towards the available therapeutic molecules or the slow rate of producing adequate therapeutic regimens to tackle the rapid growth of new infectious diseases, as well as the toxicity of current treatment regimens. …”
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A hybrid stochastic-interval Mean–CVaR model for the wind-storage system offering strategy under uncertainties by Ziang Wang, Xiuli Wang, Zhicheng Wang, Jing Huang, Xiancheng Ren, Mengfu Tu

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Tumor microenvironment-responsive engineered hybrid nanomedicine for photodynamic-immunotherapy via multi-pronged amplification of reactive oxygen species by Jinglin Zou, Cong Jiang, Qiangsheng Hu, Xinlin Jia, Shuqi Wang, Shiyue Wan, Yuanqing Mao, Dapeng Zhang, Peng Zhang, Bin Dai, Yongsheng Li

“…To tackle this issue, we develop a pH/redox dual-responsive nanomedicine based on the remodeling of cancer-associated fibroblasts (CAFs) for multi-pronged amplification of ROS (ZnPP@FQOS). …”
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Chimeric cytokine receptor TGF-β RⅡ/IL-21R improves CAR-NK cell function by reversing the immunosuppressive tumor microenvironment of gastric cancer by Yaojun Ren, Min Xue, Xinhui Hui, Xiuyu Liu, Muhammad Asad Farooq, Yiran Chen, Yuzhou Ji, Yixin Duan, Iqra Ajmal, Jie Yao, Wenzheng Jiang

“…Natural killer (NK) cells play a crucial role in the body’s anti-cancer defense, and chimeric antigen receptor (CAR)–NK cell therapy is gaining attention as a cutting-edge and promising treatment method. …”
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Le réseau hydraulique à Pompéi (Italie) de l’époque des Samnites à Auguste (fin ive-fin ier s. av. J.-C.) by Federico Giletti

“…For this reason, the growing tendency to build sumptuous dwellings, with an enviable viewpoint overlooking the Sarno plain below, led to buildings being extended above and beyond the defensive walls, even reusing structural parts that were no longer considered necessary.In the same way, many of the cisterns behind them lost their function, being converted into rooms in the house or used as stairways or corridors.The large basins seem to have retained their function until the advent of the aqueduct system, introduced in Pompeii in the Augustan age. …”
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Randomized radial basis function neural network for solving multiscale elliptic equations by Yuhang Wu, Ziyuan Liu, Wenjun Sun, Xu Qian

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EVOLUTION OF CONFLICT STUDIES IN THE INTERNATIONAL SECURITY CONTEXT IN POST-SOVIET RUSSIA by A. I. Nikitin

“…As a separate direction of studies article tackles studies of post-soviet conflicts by foreign institutes and centers, like UNIDIR (Geneva), SIPRI (Stockholm), EU ISS (Paris), British Royal institute of International Affairs. …”
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