Marker-Less Navigation System for Anterior Cruciate Ligament Reconstruction with 3D Femoral Analysis and Arthroscopic Guidance by Shuo Wang, Weili Shi, Shuai Yang, Jiahao Cui, Qinwei Guo

“…The system’s two-stage registration framework, combining SIFT-ICP algorithms, achieves accurate alignment between preoperative models and arthroscopic views. …”
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Robotic Integration of Massage and Real-Time Tissue Assessment: A Technological Framework by Yizhong Zhang, Hui Zhang, Chen Qiu, Shaosong Xie, Min Tang, Yue-Guang Fan

“…Compared with traditional soft tissue assessment devices, the massage robot equipped with a stiffness assessment system that leverages integrated sensors, enables real-time monitoring of soft tissue conditions during massage, thus integrates detection and treatment seamlessly. …”
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Flexible thin-film thermal sensor for estimating thermal transport properties designed for biomaterial applications by Takahiro Okabe, Ayumi Shiroto, Yuto Hiyama, Katsuhisa Taguchi

“…A trust-region reflective algorithm was used for robust minimization of the objective function. …”
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GNSS signal processing based on improved lifting wavelet transform with prior constraint by Chen Jiang, Wenbo Yang, Yiya Wang, Dongbao Zhao

“…Therefore, an improved three-segment soft threshold function was proposed to control the influence of the noises, and it is the prerequisite for extracting useful vibration information. …”
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Simulation and Prediction of Springback in Sheet Metal Bending Process Based on Embedded Control System by Jinhan Xu, Jun Yan, Yan Huang, Dawei Ding

“…To address this need and to enhance the efficacy of the bending process, this study presents the design and development of an embedded soft PLC (Programmable Logic Controller) rooted in the Codesys development platform and leveraging the ARM Cortex-A55 architecture. …”
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MATHEMATICAL ASPECTS OF AIRCRAFT ENGINES RUNNING OPTIMIZATION FOR MINIMUM FUEL CONSUMPTION WHILE LANDING by Y. M. Chinyuchin, V. A. Belkin

“…The mathematical apparatus and a set mathematical model of aircraft spatial motion allow to analyze aircraft behavior on the stage before landing and to draw optimal flight path for minimum fuel consumption with fixed time.For effective problem solving the choice and realization of optimal flight paths are made. The algorithm for the problem of optimal civil aircraft flight control aimed at the most accurate realization of chosen soft path under limited time conditions is proposed. …”
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Detection of egg appreance based on Fasternet and YOLOv5 model by WEI Jingxin, CHEN Zhongju, XU Haoran

“…The model used the Kmeans ++ algorithm to re-cluster the dataset and optimizeed the bounding box. …”
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Minimal cyclic behavior in sheared amorphous solids by Chloe W Lindeman, Sidney R Nagel

“…Although jammed packings of soft spheres exist in potential energy landscapes with a vast number of minima, when subjected to cyclic shear they may revisit the same configurations repeatedly. …”
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Theory and Practice of the Use of Metronidazole Topical Preparations in Dermatology by V. I. Kocherovets

“…Updated clinical and pharmaceutical characteristics of metronidazole preparations for systemic and topical use in diseases of the skin and soft tissues are considered. It has been established that the algorithm for the medicinal use of metronidazole in dermatology differs from that in surgery, therapy, obstetrics and gynecology, and pediatrics. …”
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OPTIMIZATION OF HEMISPHERICAL RESONATOR GYROSCOPE STANDING WAVE PARAMETERS by O. S. Khalyutina

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N3LL + O α s 2 $$ \mathcal{O}\left({\alpha}_s^2\right) $$ predictions of lepton-jet azimuthal angular distribution in deep-inelastic scattering by Shen Fang, Mei-Sen Gao, Hai Tao Li, Ding Yu Shao

“…In this study, jets are defined in the lab frame using the anti-k T clustering algorithm and the winner-take-all recombination scheme. …”
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Trajectories of a magnetic sphere in a shaken three-dimensional granular bed under low gravity by Ke Cheng, Meiying Hou, Wei Sun, Zhihong Qiao, Xiang Li, Tuo Li, Mingcheng Yang

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Thermal boundary condition optimization of feed system based on RSM-IRIME by Haiyang Liu, Xianying Feng, Ming Yao, Anning Wang, Yandong Liu

“…Inspired by the accumulation of soft and hard-rime, the Tent chaotic map and Lévy flight strategy are introduced, and an improved rime algorithm (IRIME) is proposed to optimize the thermal boundary parameters. …”
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MEL-YOLO: A Novel YOLO Network With Multi-Scale, Effective, and Lightweight Methods for Small Object Detection in Aerial Images by Yang Yang, Fangtao Feng, Guisuo Liu, Juxing Di

“…Furthermore, we explore the Soft-NMS algorithm to effectively mitigate small object occlusion and reduce missed detection. …”
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A Study on Path Planning for Curved Surface UV Printing Robots Based on Reinforcement Learning by Jie Liu, Xianxin Lin, Chengqiang Huang, Zelong Cai, Zhenyong Liu, Minsheng Chen, Zhicong Li

“…Experimental results show that the proposed method outperforms traditional path planning methods, as well as Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). …”
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The Safety of Hyperbaric Oxygen Therapy in the Treatment of Covid-19 by O. A. Levina, A. K. Еvseev, A. K. Shabanov, V. V. Kulabukhov, N. Y. Kutrovskaya, I. V. Goroncharovskaya, K. A. Popugaev, D. A. Kosolapov, D. S. Slobodeniuk, S. S. Petrikov

“…Before and after each HBO session, the subjective indicators of the patient’s condition were assessed and the blood oxygen saturation was measured.Results. An algorithm for HBO course management was developed, which consists in using “soft” modes (up to 1.4 AT) during the first session, followed by pressure adjustment (not higher than 1.6 AT) during the course to achieve maximum therapeutic effect and comfort for the patient. …”
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Better Cone-Beam CT Artifact Correction via Spatial and Channel Reconstruction Convolution Based on Unsupervised Adversarial Diffusion Models by Guoya Dong, Yutong He, Xuan Liu, Jingjing Dai, Yaoqin Xie, Xiaokun Liang

“…However, CBCT images of low-density soft tissues are often plagued with artifacts and noise, which can lead to missed diagnoses and misdiagnoses. …”
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Artificial neural networking for computational assessment of ternary hybrid nanofluid flow caused by a stretching sheet: implications of machine-learning approach by Imad Khan, M. Waleed Ahmed Khan

“…Researchers are mainly interested in using soft computing artificial intelligence (AI) methods due to their broad applications in analysis, modelling and simulations. …”
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Improving the Classification Accuracy for Near-Infrared Spectroscopy of Chinese Salvia miltiorrhiza Using Local Variable Selection by Lianqing Zhu, Haitao Chang, Qun Zhou, Zhongyu Wang

“…Combining the strengths of the local algorithm and interval partial least squares, the spectra data have firstly been divided into several pairs of classes in sample direction and equidistant subintervals in variable direction. …”
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AI-based online VoI-aware healthcare and medical monitoring task computing by Akbar Asgharzadeh-Bonab, Jalil Mazloum, Ali Nouruzi

“…To solve this optimization problem, we employ a deep reinforcement learning (DRL) based solution, outperforming other baselines. We propose a soft actor-critic (SAC)-based algorithm, named SAC-based VoI-aware healthcare networks (SACVAHC), to handle uncertainties in the healthcare network. …”
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