GENERAL PRINCIPLES OF TREATMENT FOR MUSCULOSKELETAL PAIN: INTERDISCIPLINARY CONSENSUS by E. L. Nasonov, N. N. Yakhno, A. E. Karateev, L. I. Alekseeva, A. N. Barinov, A. E. Barulin, O. S. Davydov, A. B. Danilov, M. V. Zhuravleva, B. V. Zavodovsky, S. S. Kopenkin, M. L. Kukishkin, V. A. Parfenov, M. A. Strakhov, V. P. Tyurin, N. V. Chichasova, S. A. Chorbinskaya

“…The main manifestation of joint and spine diseases, such as osteoarthritis, nonspecific back pain, and soft tissue rheumatic disorders, is musculoskeletal pain (MSP). …”
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Automated detection of hard exudates in retinal fundus images for diabetic retinopathy screening using textural-based radon transform and morphology reconstruction by Esmat Ramezanzadeh, Naser Shoeibi, Akram Feizabadi, Touka Banaee, Mohammad Hossein Bahreyni Tussi, Meysam Tavakoli

“…Method: The proposed algorithm was evaluated on two datasets, DIARETDB1 (89 images) and MUMS-DB (32 images). …”
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A Mixed Chaotic Image Encryption Method Based on Parallel Rotation Scrambling in Rubik’s Cube Space by Lu Xu, Yun Chen, Yanlin Qin, Zhichao Yang

“…Most image encryption methods based on Rubik’s cube scrambling adopt the idea of cyclic shift or map the image pixels to the cube surface, not fully considering the cube’s three-dimensional (3D) properties. …”
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Towards Automatic Expressive Pipa Music Transcription Using Morphological Analysis of Photoelectric Signals by Yuancheng Wang, Xuanzhe Li, Yunxiao Zhang, Qiao Wang

“…In this paper, we assess different transcription processes and algorithms applied to signals captured by optical sensors mounted on a pipa—a traditional Chinese plucked instrument—played using a range of techniques. …”
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Enhancing Secure Energy Efficiency of SWIPT IoT Network Considering IRS and Artificial-Noise: A Deep Learning Approach by Kimchheang Chhea, Jung-Ryun Lee

“…To solve this problem, we propose a deep neural network (DNN) algorithm that utilizes a loss function derived from Lagrange duality function. …”
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Coupling an Autonomous UAV With a ML Framework for Sustainable Environmental Monitoring and Remote Sensing by Faris A. Almalki, Shafaa M. Salem, Waad M. Fawzi, Norah S. Alfeteis, Shams A. Esaifan, Anoud S. Alharthi, Reef Z. Alnefaiey, Qamar H. Naith

“…The dual architecture of the drones, combined with the ground-level IoT system, creates a comprehensive framework that not only enhances agricultural technologies but also aligns with environmental conservation goals, embodying a paradigm shift towards a greener and more sustainable future. …”
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Example of internal function for Sponge scheme built on the basis of the generalized AES design methodology by R. M. Ospanov, Ye. N. Seitkulov, B. B. Yergaliyeva, N. M. Sisenov

“…The most common approach is to use a permutation based on a symmetric block encryption algorithm with constants as the key. This article builds an internal  function  using  the  generalized  AES  design  methodology. …”
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Improving energy efficiency for intelligent reflecting surface assisted PD-NOMA in EH relaying network by Hong Nguyen-Thi, Thuc Kieu-Xuan, Thang Le-Nhat, Anh Le-Thi

“…We also construct a Particle swarm optimization (PSO)-based program to optimize the EE depending on power allocation for NOMA users and phase shift of the IRS elements. To determine the efficiency of PSO, we consider two other techniques: Genetic Algorithm (GA) and Exhaustive Search (ES). …”
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Paint shop vehicle sequencing based on quantum computing considering color changeover and painting quality by Jing Huang, Qing Chang, Hua-Tzu Fan

“…With typically hundreds of vehicles in one shift, the paint shop sequencing problem is intractable in classical computing. …”
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The Orbital Angular Momentum Encoding System With Radial Indices of Laguerre–Gaussian Beam by Zhongyi Guo, Zikun Wang, Maxime Irene Dedo, Kai Guo

“…Meanwhile, the combination of the phase-shift factor and centroid algorithm can realize the simultaneous detection of the radial indices in each channel and efficient decoding of information. …”
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Reinforcement-Learning-Based Edge Offloading Orchestration in Computing Continuum by Ioana Ramona Martin, Gabriel Ioan Arcas, Tudor Cioara

“…Addressing these is essential to shift the workloads from the cloud to the edge and across the entire computing continuum. …”
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Machine learning-based fatigue lifetime prediction of structural steels by Konstantinos Arvanitis, Pantelis Nikolakopoulos, Dimitrios Pavlou, Mina Farmanbar

“…While traditional methodologies based on S-N curve models remain prevalent in industry, there is a contemporary shift towards employing Artificial Intelligence and Machine Learning techniques to significantly refine the accuracy of fatigue lifetime predictions. …”
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Secure energy efficiency maximization for joint ITS and IRS assisted satellite downlink communications by Shaochuan Yang, Kaizhi Huang, Hehao Niu, Yi Wang, Ya Liu, Zheng Chu

“…The aim is to maximize the secure energy efficiency by jointly designing ITS beamforming, IRS phase shift, jammer precoding vector, and transmit power allocation. …”
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First-Principles Study of the Quasi-Particle and Excitonic Effect in o-BC2N: The GW + BSE Study by Genene Shiferaw Aga, Pooran Singh, Chernet Amente Geffe

“…Furthermore, using the BSE algorithm, we calculate the optical bandgap of type II o-BC2N to be 4.0 eV with the excitonic effect and 4.4 eV without the excitonic effect. …”
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Enhanced Spectral Efficiency in RIS-Assisted MIMO Systems Through Joint Precoding and RIS Configuration by Mohammed Adil Abbas, Aqiel N. Almamori, Ahmed Jumaa Lafta, Asaad H. Sahar

“…Unlike conventional approaches that optimize RIS phase shifts and transmitter precoding separately, our method jointly optimizes both using an iterative strategy. …”
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A Computationally Efficient Estimator for the Target Angle, Delay, and Doppler Parameters in Passive Radar by Jing Yang, Chengcheng Liu, Jie Huang, Dapeng Liu, Ting Ding, Jiandong Zhu, Xia Li

“…The azimuth, elevation, time delay (TD), and Doppler shift (DS) of the target echo signal are important parameters for target localization in passive radar. …”
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Play, watch, share: the dissemination of the cultural presence of games on video-based social media by Qiaohe Zhang, Yixuan Shao, Xu Li

“…Black Myth: Wukong is the first Chinese digital game to shift from a hit game to a cultural phenomenon. Previous studies have shown that cultural presence is crucial for cultural dissemination. …”
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Influence of simulated traffic on foundation pit deformation via machine vision technology by Xi Wu, Miao-Miao Sun, Zhi-Yu Xie, Song-Qiang Chen, Zhen-Yu Zhang, Xing-Lang Fan, Hai-Min Qian

“…The research employs the YOLO (You Only Look Once) detector coupled with a multi-object tracking algorithm for vehicle classification and tracking. …”
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Lavender hydrosol analysis using UV spectroscopy data and partial least squares regression by Sára Preiner, Bálint Levente Tarcsay, Dóra Pethő, Norbert Miskolczi

“…The aim of our work was to estimate the composition of hydrosol produced as a byproduct of lavender steam distillation using UV–Vis spectrophotometry in the 200–600 nm wavelength range through a machine learning algorithm. The dissolved components of lavender essential oil (EO) from lavender hydrosol samples were extracted via liquid-liquid extraction, using three different solvents (pentane, heptane and diethyl ether). …”
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Fault Diagnosis of Rolling Bearing Using Improved Wavelet Threshold Denoising and Fast Spectral Correlation Analysis by Shaoning Tian, Dong Zhen, Junchao Guo, Haiyang Li, Hao Zhang, Fengshou Gu

“…In the new threshold function, the adjuster α is introduced to improve the traditional wavelet denoising algorithm, so as to enhance the signal-to-noise ratio (SNR) of the original signal more effectively. …”
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