Intra-Individual Variation in the Jump Smash for Elite Malaysian Male Badminton Players by Yuvaraj Ramasamy, Yeap Ming Wei, Harley Towler, Mark King

“…Twenty-five jump smashes were recorded using a 3D motion capture system, with the three fastest (95.0 ± 3.6 m·s⁻¹) and three slowest (85.8 ± 5.8 m·s⁻¹) smashes per participant categorised into different groups. …”
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Emily and Charlotte Brontë’s Re-reading of the Byronic hero by Cristina Ceron

“…Even though several critics have actually labelled the character of Heathcliff as ‘Byronic hero’, the debate has not delved into the textual or thematic evidence of the relation between Brontë’s protagonist and Byron hypertexts. …”
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Integration of Wind Power for Sustainable Energy at Lagos State University of Science and Technology: A Feasibility Study by Akachukwu Oyim, Opeyemi Akerekan, Nwachukwu Ogbonna

“…Examination of wind speed at different heights underscores the significance of elevated turbine towers for capturing higher wind speeds and optimizing power output in the specific context of Lagos State University of Science and Technology. …”
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Distributed delays in a hybrid model of tumor-Immune system interplay by Giulio Caravagna, Alex Graudenzi, Alberto d’Onofrio

“…Thus, we follow this approach to model tumor cells, effector cells and Interleukin-2, in order to capture the Immune surveillance effect.   We here present a hybrid model with a generic delay kernel accounting that,due to many complex phenomena such as chemical transportation and cellular differentiation,the tumor-induced recruitment of effectors exhibits a lag period. …”
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CryoSCAPE: Scalable immune profiling using cryopreserved whole blood for multi-omic single cell and functional assays by Alexander T. Heubeck, Cole Phalen, Neel Kaul, Peter J. Wittig, Jessica Garber, Morgan Weiss, Palak C. Genge, Zachary Thomson, Claire Gustafson, Julian Reading, Peter J. Skene

“…Results Comparative analyses of matched human PBMC from cryopreserved whole blood and density gradient isolation demonstrate the efficacy of this methodology in capturing cell proportions and molecular features. …”
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Automated potato tuber mass estimation and grading with multiangle 2D images by Ayush K. Sharma, Lincoln Zotarelli, Alina Zare, Lakesh K. Sharma

“…Physical data of potato tubers from 23 different cultivars were collected, and their 2D images were captured under controlled light conditions from top and side angles. …”
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Effects of Payloads on Non-exhaust PM Emissions from A Hybrid Electric Vehicle during A Braking Sequence by Worawat Songkitti, Sutthiphong Sa-ard-iam, Chalermpol Plengsa-Ard, Ekathai Wirojaskunchai

“…The PM emission pattern during braking sequence is captured by the current PM measuring setup as seen in the literature. …”
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IMTLM-Net: improved multi-task transformer based on localization mechanism network for handwritten English text recognition by Qianfeng Zhang, Feng Liu, Wanru Song

“…Moreover, the localization mechanism (LM) is applied to enhance font structure feature extraction from image data, which in turn improves the model’s ability to capture complex details. Numerous experiments demonstrate that the proposed method achieves state-of-the-art results in handwritten text recognition.…”
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Extensive paralogism in the environmental pangenome: a key factor in the ecological success of natural SAR11 populations by Carmen Molina-Pardines, Jose M. Haro-Moreno, Francisco Rodriguez-Valera, Mario López-Pérez

“…Furthermore, this study demonstrates the power of long-read metagenomics in capturing the full genetic diversity of environmental SAR11 populations, overcoming the limitations of second-generation sequencing technologies in genome assembly. …”
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Importancia de la formación continua del profesorado en el área técnica y profesional by Víctor Servilio Arboleda García, Nixon Rolando Coronel Bermeo, Segress García Hevia

“…La información que sustentó la importancia, perspectivas y desafíos en la formación continua de los docentes, proviene de un estudio descriptivo con el cual se caracterizó las condiciones actuales que los docentes presentan con respecto a su formación y la manera como los conocimientos actualizados aportan al rendimiento académico de los estudiantes. …”
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Resilience in Crisis: A Longitudinal Study of Entrepreneurial Responses to COVID-19 pandemic by Yi Zhang, Xiaochen Bu

“…Semi-structured interviews were conducted with two Chinese entrepreneurs to capture evolving dynamics. Data analysis emphasises thematic coding and content analysis to identify the dimensions influencing entrepreneurs’ resilience and adaptability in the post-COVID-19 era. …”
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Model of the malicious traffic classification based on hypergraph neural network by Wenbo ZHAO, Zitong MA, Zhe YANG

“…As the use and reliance on networks continue to grow, the prevalence of malicious network traffic poses a significant challenge in the field of network security.Cyber attackers constantly seek new ways to infiltrate systems, steal data, and disrupt network services.To address this ongoing threat, it is crucial to develop more effective intrusion detection systems that can promptly detect and counteract malicious network traffic, thereby minimizing the resulting losses.However, current methods for classifying malicious traffic have limitations, particularly in terms of excessive reliance on data feature selection.To improve the accuracy of malicious traffic classification, a novel malicious traffic classification model based on Hypergraph Neural Networks (HGNN) was proposed.The traffic data was represented as hypergraph structures and HGNN was utilized to capture the spatial features of the traffic.By considering the interrelations among traffic data, HGNN provided a more accurate representation of the characteristics of malicious traffic.Additionally, to handle the temporal features of traffic data, Recurrent Neural Networks (RNN) was introduced to further enhance the model’s classification performance.The extracted spatiotemporal features were then used for the classification of malicious traffic, aiding in the detection of potential threats within the network.Through a series of ablative experiments, the effectiveness of the HGNN+RNN method was verified.These experiments demonstrate the model’s ability to efficiently extract spatiotemporal features from traffic, resulting in improved classification performance for malicious traffic.The model achieved outstanding classification accuracy across three widely-used open-source datasets: NSL-KDD (94% accuracy), UNSW-NB15 (95.6% accuracy), and CIC-IDS-2017 (99.08% accuracy).These results underscore the potential significance of the malicious traffic classification model based on hypergraph neural networks in enhancing network security and its capacity to better address the evolving landscape of network threats within the domain of network security.…”
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Constructing Attention-LSTM-VAE Power Load Model Based on Multiple Features by Chaoyue Ma, Ying Wang, Feng Li, Huiyan Zhang, Yong Zhang, Haiyan Zhang

“…Finally, the Attention-LSTM-VAE model is constructed to capture the temporal variations laws of load. The dataset includes 2 years of load values and weather data collected in Caojiaping, Hunan Province, China. …”
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Clinical utility of smartphone-based digital infrared thermal imaging in predicting vascular compromise in free flaps by Padmalakshmi Bharathi Mohan, S. Dineshkumar, Devi Prasad Mohapatra, Prasanth Penumadu, M.T. Friji, Ravi Kumar Chittoria

“…Digital thermal imaging captures and displays the infrared radiation emitted from an object. …”
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The influence of the processes of digitalization of the economy on the activities of non-financial institutions by G. N. Ryazanova, A. A. Sazanova, S. L. Sazanova

“…In the Russian Federation the development of digital technologies in various fields of activity is of great importance, which is reflected in official documents, targeted government programs, business analysts and business practices. All this actualizes the study of the problem of management transformation in non-financial organizations under the influence of the spread of digital technologies.The article examines the strategic challenges facing non-financial organizations of Russia in the digital economy. …”
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Information processes in Virtual 3D reconstruction of Roman Three-Bay Double Arch of Musti (Tunisia) by Jakub Franczuk

“…The study highlights the use of tools like Reality Capture, Archicad, Rhino, and Grasshopper to reconstruct historical monuments, focusing on accuracy in modeling and detailed parametric representations. …”
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Towards unbiased skin cancer classification using deep feature fusion by Ali Atshan Abdulredah, Mohammed A. Fadhel, Laith Alzubaidi, Ye Duan, Monji Kherallah, Faiza Charfi

“…The results demonstrate SWNet’s superiority, achieving an accuracy of 99.86% and an F1 score of 99.95%, underscoring its efficacy in gradient propagation and feature capture across various levels. This research highlights the significant potential of SWNet in advancing skin cancer detection and classification, providing a robust tool for accurate and early diagnosis. …”
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Propensity Score Matching: should we use it in designing observational studies? by Fei Wan

“…Common distance metrics cannot capture this “chance” nature in covariate imbalance, instead reflecting increasing variability in chance imbalance as units are pruned and the sample size diminishes. …”
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Assessment of Stroke Severity And Mortality (ASSAM): A hospital-based study from north-east India by Glennys Carvalho, Debabrata Goswami, Abdul Barik Ahmed

“…Mortality data were captured until day 30 of stroke onset, and epidemiological data on risk factors and other determinants was collected using a questionnaire. …”
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Spatiotemporal dynamic and regional differences of public attention to vaccination: An empirical study in China. by Yaming Zhang, Xiaoyu Guo, Yanyuan Su

“…Studying the spatiotemporal characteristics of the public's concern for vaccination can determine the spatiotemporal distribution of demand for vaccines in China, and capture the changes in the health awareness of the Chinese population, thus informing future vaccination strategies.…”
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