Multi-channel HD-SDI video transmission system based on Hi3559 by Wang Yi, Zhang Yu, Qian Hongwen

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Enhancing forest biodiversity indicators in inventories through harmonized protocols by Moreno-Fernández D, Breidenbach J, Cañellas I, Chirici G, D’Amico G, Ferretti M, Giannetti F, Puliti S, Schnell S, Shackleton R, Skudnik M, Alberdi I

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Paraneoplastic Leser-Trélat Syndrome: Clinical Manifestations, Diagnosis and Treatment by T. A. Gaydina, A. S. Dvornikov, P. A. Skripkina

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Predicting chronic pain using wearable devices: a scoping review of sensor capabilities, data security, and standards compliance by Johannes C. Ayena, Johannes C. Ayena, Amina Bouayed, Amina Bouayed, Myriam Ben Arous, Myriam Ben Arous, Youssef Ouakrim, Youssef Ouakrim, Karim Loulou, Karim Loulou, Darine Ameyed, Isabelle Savard, Leila El Kamel, Neila Mezghani, Neila Mezghani

“…Data extraction focused on device types, sensor quality, compliance with health standards, and the predictive algorithms employed.ResultsWearable devices show promise in correlating physiological markers with CP, but few studies integrate predictive models. …”
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The current state of the problem of tick-borne encephalitis in Russia and the world by N. M. Kolyasnikova, A. A. Ishmukhametov, V. G. Akimkin

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Design and Prototype Verification of a 3-meter Aperture Wrap-rib Reflector by ZHANG Han, YAN Zhongxi, XIANG Ping, WU Minger

“…Currently, the application of this type of deployable reflector mainly faces two challenges: ensuring the reliability of stowage and deployment strategies for large-deformation wrapping, and achieving and maintaining surface accuracy of the flexible wrap-rib reflector. …”
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A gene signature related to programmed cell death to predict immunotherapy response and prognosis in colon adenocarcinoma by Lei Zheng, Jia Lu, Dalu Kong, Yang Zhan

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Comparative analysis of the frequency of comorbid diseases in axial psoriatic arthritis and other variants of axial spondyloarthritis. Data from a hospital cohort by A. A. Yanushonite, Yu. L. Korsakova, T. V. Korotaeva, E. E. Gubar, E. Yu. Loginova, M. M. Urumova, A. E. Dimitreva, S. I. Glukhova

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Evaluating and Forecasting the Probability of Lightning Occurrence in Rasht City by Afsaneh Ghasemi, Jamil Amanollahi

“…Finally, SPSS Modeler software was used to predict occurrence and non-occurrence of lightning in future using by CART, CHAID, C5 trees and Multi Layer Perceptron (MLP), Radial Basis Function (RBF) and Support Vector Machine (SVM). In this research, the training data set contains 70% of the data and testing data set contains 30% of the data. …”
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Identification and analysis of neutrophil extracellular trap-related genes in periodontitis via bioinformatics and experimental verification by Miao Yu, Zhenqi Ye, Zixin Ye, Yaping Wu, Xiang Wu

“…Results Eighty-three DE-NRGs were identified and mainly correlated with multiple periodontitis-related pathways. …”
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Learning from Octopuses: Cutting-Edge Developments and Future Directions by Jinjie Duan, Yuning Lei, Jie Fang, Qi Qi, Zhiming Zhan, Yuxiang Wu

“…These studies mainly explore how humans can learn from the physiological characteristics of octopuses for sensor design, actuator development, processor architecture optimization, and intelligent optimization algorithms. …”
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Defending CNN Against FGSM Attacks Using Beta-Based Personalized Activation Functions and Adversarial Training by Hanen Issaoui, Asma Eladel, Ahmed Zouinkhi, Mourad Zaied, Lazhar Khriji, Sarvar Hussain Nengroo

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Advancing the accuracy of tyrosinase inhibitory peptides prediction via a multiview feature fusion strategy by Watshara Shoombuatong, Nalini Schaduangrat, Nutta Homdee, Saeed Ahmed, Pramote Chumnanpuen

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Review of Demand Response-based Optimal Scheduling of Electric and Thermal Integrated Energy Systems by Jingshan MO, Guangxian YAN, Na SONG, Mingyang YUAN

“…Artificial intelligence algorithms are primarily divided into methods based on group optimization problems and machine learning algorithms. …”
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DLTM: a deep learning method for tearing mode simulation and prediction by Zhipeng Chang, Baofeng Gao, Ruijie Yin, Xiaofei Zhao

“…Tearing modes are harmful magnetohydrodynamic instabilities in tokamaks that reduce plasma confinement by altering the magnetic field and forming magnetic islands. Traditional research methods, mainly relying on theories, numerical simulations or experiments, face challenges due to the enormous data, complexity of experiments and high computational costs. …”
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Predicting software reuse using machine learning techniques-A case study on open-source Java software systems. by Matthew Yit Hang Yeow, Chun Yong Chong, Mei Kuan Lim, Yuen Yee Yen

“…This paper proposes automating software reuse prediction by leveraging machine learning (ML) algorithms, enabling future research and practitioners to better identify highly reusable software. …”
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Non-Destructive Monitoring of External Quality of Date Palm Fruit (<i>Phoenix dactylifera</i> L.) During Frozen Storage Using Digital Camera and Flatbed Scanner by Younes Noutfia, Ewa Ropelewska, Zbigniew Jóźwiak, Krzysztof Rutkowski

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Dealing with Multiple Optimization Objectives for UAV Path Planning in Hostile Environments: A Literature Review by Thomas Quadt, Roy Lindelauf, Mark Voskuijl, Herman Monsuur, Boris Čule

“…Finally, we identify several directions for future research, mainly related to aligning the mathematical optimum to the MPS.…”
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Imaging genomics of cancer: a bibliometric analysis and review by Xinyi Gou, Aobo Feng, Caizhen Feng, Jin Cheng, Nan Hong

“…The top 2 keywords plus were “survival” and “classification”. The current research mainly focuses on the central nervous system (121) and the genitourinary system (110, including 44 breast cancer articles). …”
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Safety of selective non-steroidal anti-inflammatory drugs: analysis of the last years data by N. A. Shostak, A. A. Klimenko, N. A. Demidova, D. A. Anichkov

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