Discovering emergent connections in quantum physics research via dynamic word embeddings by Felix Frohnert, Xuemei Gu, Mario Krenn, Evert van Nieuwenburg

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Ecological and Specific Evidence-Based Safe Return To Play After Anterior Cruciate Ligament Reconstruction In Soccer Players: A New International Paradigm by Florian Forelli, Nicolas Le Coroller, Maxime Gaspar, Geoffrey Memain, Georgios Kakavas, Nicholas Miraglia, Patrice Marine, Pascal Maille, Timothy E Hewett, Alexandre JM Rambaud

“…Nevertheless, these algorithms remain too standardized and do not include the situations experienced in games by soccer players. …”
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A machine learning model the prediction of athlete engagement based on cohesion, passion and mental toughness by Xin Zhang, Zhikang Lin, Song Gu

“…The construction and comparison methods of predictive models by machine learning algorithms are investigated to evaluate the level of predictive models in order to determine the optimal predictive model. …”
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Enhancing computational accuracy with parallel parameter optimization in variational quantum eigensolver by Daisuke Tsukayama, Jun-ichi Shirakashi, Tetsuo Shibuya, Hiroshi Imai

“…Variational quantum algorithms have promising applications in noisy intermediate-scale quantum (NISQ) devices. …”
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Exposing End-to-End Delay in Software-Defined Networking by Ting Zhang, Bin Liu

“…Understanding the packet delay in SDN-based large networks is crucial for the proper design of switch architecture and the optimization of network algorithms such as flow control algorithms. In this paper, we present a thorough systematic exploration on the end-to-end delay in SDN which consists of multiple nodes, fully exposing the components which contribute to the long delay. …”
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Methodology fundamentals for investigating violations of the laws and customs of war by O. O. Khan, O. V. Manyk

“…A typical structure of a separate methodology for investigating violations of the laws and customs of war has been proposed, which includes the following elements (blocks): 1) forensic characteristics of a war crime; 2) circumstances to be established; 3) peculiarities of detecting a crime and initiating criminal proceedings; 4) typical investigative situations, tasks and algorithms of the investigator regarding actions at the initial stage of the investigation; 5) typical investigative situations, tasks and algorithms of the investigator regarding actions at the next stage of the investigation; 6) organisation and planning of the investigation, interaction of the investigator with other subjects of criminal proceedings; 7) tactics of certain procedural actions: public and covert investigative (detective) actions, measures to ensure criminal proceedings, as well as tactical operations. …”
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Enhancing unity-based AR with optimal lossless compression for digital twin assets. by Mohammed Hlayel, Hairulnizam Mahdin, Mohammad Hayajneh, Saleh H AlDaajeh, Siti Salwani Yaacob, Mazidah Mat Rejab

“…This article applies multiple lossless compression algorithms to improve the efficiency of digital twin asset delivery in Unity's AssetBundle and Addressable asset management frameworks. …”
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Implementation and Performance of Lightweight Authentication Encryption ASCON on IoT Devices by Gabriela Cagua, Valerie Gauthier-Umana, Carlos Lozano-Garzon

“…Lightweight cryptographic algorithms have emerged to address these challenges, with ASCON gaining recognition for its robustness and efficiency. …”
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Process mining applications in healthcare: a systematic literature review by Lerina Aversano, Martina Iammarino, Antonella Madau, Giuseppe Pirlo, Gianfranco Semeraro

“…To achieve this goal, several articles focusing on the algorithms and data employed were selected and analyzed. …”
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Registered report protocol: A scoping review to identify potential predictors as features for developing automated estimation of the probability of being frail in secondary care. by Dirk H van Dalen, Angèle P M Kerckhoffs, Esther de Vries

“…We aim to identify potential predictors that could be used as features for modeling algorithms on the basis of routine hospital EHR data to incorporate in an automated tool for estimating the probability of being frail.…”
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An Infrared Small Moving Target Detection Method in Complex Scenes Based on Dual-Region Search by Huazhao Cao, Yuxin Hu, Ziming Wang, Jianwei Yang, Guangyao Zhou, Wenzhi Wang, Yuhan Liu

“…However, most existing algorithms for detecting small targets in infrared imagery encounter difficulties in achieving both high accuracy and speed, particularly in complex scenes. …”
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Enhancing safety in surface mine blasting operations with IoT based ground vibration monitoring and prediction system integrated with machine learning by Mangalpady Aruna, Harsha Vardhan, Abhishek Kumar Tripathi, Satyajeet Parida, N. V. Raja Sekhar Reddy, Krishna Moorthy Sivalingam, Li Yingqiu, P. V. Elumalai

“…The study also employed Support Vector Regression (SVR), Gradient Boosting Regression (GBR), and Random Forest (RF) algorithms to predict Peak Particle Velocity (PPV) values. …”
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An Application of Modified S-CLSVOF Method to Kelvin-Helmholtz Instability and Comparison with Theoretical Result by Naoki Shimada, Mako Sato, Yuta Yaegashi, Thorsten Koch, Thi Thai Le

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Rapid detection of drug abuse via tear analysis using surface enhanced Raman spectroscopy and machine learning by Yingbin Wang, Yulong Huang, Xiaobao Liu, Chishan Kang, Wenjie Wu

“…These algorithms achieved over 90% accuracy in distinguishing between EPH-injected and non-injected SD rats, with area under the ROC curve (AUC) values ranging from 0.9821 to 0.9911. …”
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Data and Knowledge-Driven Bridge Digital Twin Modeling for Smart Operation and Maintenance by Zhe Sun, Bin Liang, Shengyao Liu, Zhansheng Liu

“…However, most existing techniques and algorithms heavily rely on high-quality data, which are difficult to obtain during bridge O&M. …”
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A Smart Machine Learning Model for the Detection of Brain Hemorrhage Diagnosis Based Internet of Things in Smart Cities by Hang Chen, Sulaiman Khan, Bo Kou, Shah Nazir, Wei Liu, Anwar Hussain

“…To reduce the death rates and propose accurate treatment, this paper presents a smart IoT-based application using machine learning algorithms for the human brain hemorrhage diagnosis. …”
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A bird’s-eye view of the biological mechanism and machine learning prediction approaches for cell-penetrating peptides by Maduravani Ramasundaram, Honglae Sohn, Thirumurthy Madhavan

“…In conclusion, this review will encourage the use of ML algorithms for finding effective CPPs, which will have a positive impact on future research on drug delivery and therapeutics.…”
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Hot water treatment in autonomous heat supply systems with several water intake points by A. L. Toropov

“…Comparisons of the thermal power modulation algorithms of the specimens under consideration are given.Conclusions. …”
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A Dynamic Probabilistic Based Broadcasting Scheme for MANETs by Kannan Shanmugam, Karthik Subburathinam, Arunachalam Velayuthampalayam Palanisamy

“…A reasonable number of routing algorithms have been suggested for reducing the lethal impact of flooding the RREQ packets. …”
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Cross-Technology Interference-Aware Rate Adaptation in Time-Triggered Wireless Local Area Networks by Hanjin Kim, Young-Jin Kim, Won-Tae Kim

“…The rate selection algorithms predict CTI occurrence times and adjust the transmission rate accordingly, enhancing the performance of existing explicit and implicit interference mitigation methods. …”
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