The use of ethanol as contrast enhancer in synchrotron X-ray phase-contrast imaging leads to heterogeneous myocardial tissue shrinkage: a case report by Gabriel Bernardino, Àngels Calvet-Mirabent, Hector Dejea, Eduard Guasch, Anne Bonnin, Patricia Garcia-Canadilla

“…One of the main limitations of conventional absorption-based X-ray micro-computed tomography imaging of biological samples is the low inherent X-ray contrast of soft tissue. To overcome this limitation, the use of ethanol as contrast agent has been proposed to enhance image contrast of soft tissues through dehydration. …”
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Research on collision avoidance path planning method for mining and anchoring equipment in narrow and restricted space of tunneling laneways by Wenjuan YANG, Ran ZHANG, Xuhui ZHANG, Sihao TIAN, Zeyao WANG, Xili ZHENG, Zhiteng REN, Jicheng WAN, Yuyang DU, Hanbing ZHANG

“…Considering the motion characteristics of the mining and anchoring equipment, this paper introduces a Multi-Agent Experience Sharing mechanism on the basis of the Soft Actor-Critic (SAC) algorithm, proposing the MAES-SAC algorithm. …”
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A Priority-Based CSMA/CA Mechanism to Support Deadline-Aware Scheduling in Home Automation Applications Using IEEE 802.15.4 by Mario Collotta, Gianfranco Scatà, Giovanni Pau

“…Most of home automation networks (depending on the specific application) are mainly characterized by periodic traffic flows. In soft real-time contexts, the main problem is represented by the efficient allocation of guaranteed time slots (GTSs) for periodic traffic flows transmission in IEEE 802.15.4 networks. …”
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Large language models design sequence-defined macromolecules via evolutionary optimization by Wesley F. Reinhart, Antonia Statt

“…Anthropic’s Claude 3.5 model outperforms an active learning scheme with handcrafted surrogate models and an evolutionary algorithm in selecting monomer sequences to produce targeted morphologies in macromolecular self-assembly. …”
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Estimation single output with a hybrid of ANFIS and MOPSO_HS by Aref Yelghi

“…In the field of soft computing, the Adaptive Neuro-Fuzzy Inference System (ANFIS) has been more well-liked in recent years for its predictive capabilities. …”
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Limited Incisional Drainage and Negative-Pressure Wound Therapy in an Acute Morel-Lavallée Lesion by Eui-Sung Choi, Jae-Young Yang, Byung-Hyun Ahn

“…A Morel-Lavallée lesion is a post-traumatic closed degloving soft tissue injury after blunt trauma. Infection and skin necrosis frequently occur if it is not treated properly in the early stages. …”
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Adaptive variable channel heat dissipation control of ground control station under various work modes by Dexin Wang, Jiali Tao, Jin Lei, Xinyan Qin, Yanqi Wang, Jie Song, Tianming Feng, Yujie Zeng

“…This research introduces an Adaptive Variable Channel Control (AVCC) cooling approach using the Deep Reinforcement Learning Soft Actor-Critic (SAC) algorithm. The primary contributions of this paper include: (1) the design of a distributed cooling module featuring multiple cooling fans, which enables a variable channel cooling structure; (2) the development of a multi-module temperature control platform that simulates the heat generation conditions of each module under six work modes, providing a training environment for the cooling control algorithm; (3) the formulation of a model-free control method based on the SAC algorithm, AVCC, to optimize the cooling efficiency and endurance of the GCS. …”
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Low-Carbon Dispatch Method for Active Distribution Network Based on Carbon Emission Flow Theory by Jiang Bian, Yang Wang, Zhaoshuai Dang, Tianchun Xiang, Zhiyong Gan, Ting Yang

“…Next, based on the carbon flow distribution of distribution networks, we construct a low-carbon dispatch model and formulate its optimization problem within a Markov Decision Process framework. We improve the Soft Actor–Critic (SAC) algorithm by adopting a Gaussian-distribution-based reward function to train and deploy agents for optimal low-carbon dispatch. …”
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Using Graph Neural Networks in Reinforcement Learning With Application to Monte Carlo Simulations in Power System Reliability Analysis by Oystein Rognes Solheim, Boye Annfelt Hoverstad, Magnus Korpas

“…For the actor part of this architecture, we have implemented both a deterministic agent being a variant of the Twin Delayed DDPG-algorithm, and a stochastic agent with similarities to the Soft Actor Critic-algorithm. …”
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Possibilities of magnet-resonance tomography usage while examining patients with reccurent genital prolapse by Banakhevych R.M.

“…The developed algorithm of dynamic magnetic resonance imaging in patients with recurrent pelvic hernia significantly improves the quality of diagnosis. …”
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Using video for reconstruction in SfM. The Capo d’Omo Tower on Mount Argentario by Fabio Lanfranchi, Piero Barlozzini, Luca Martelli

“…The most advanced photo-modelling programs are now able to process video clips directly, automatically selecting the photos suitable for input in scale-invariant feature transform (SIFT) and speeded up robust features (SURF) algorithms, essential aspects of structure from motion (SfM). …”
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UAV spatiotemporal crowdsourcing resource allocation based on deep reinforcement learning by Yaxi LIU, Xulong LI, Jiahao HUO, Wei HUANGFU

“…To solve this MDP, we employ the soft actor critic (SAC) algorithm, an advanced deep reinforcement learning method known for its sample efficiency and stability. …”
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Discriminator guided visible-to-infrared image translation by Decao Ma, Juan Su, Yong Xian, Shaopeng Li

“…Abstract This paper proposes a discriminator-guided visible-to-infrared image translation algorithm based on a generative adversarial network and designs a multi-scale fusion generative network. …”
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Optimal level and order of the Coiflets wavelet in the VAR time series denoise analysis by Intisar Ibrahim Elias, Taha Hussein Ali

“…In this research, an algorithm was proposed, and the level and order optimal of the Coiflets wavelet that provides the minimum Akaike information criterion (AIC) and Bayesian information criterion (BIC) for the VAR time series model is determined with universal and minimax threshold methods with soft rule. …”
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Picture fuzzy hypersoft topsis method based on correlation coefficient by V. Chinnadurai, A. Bobin

“…Also, we propose an algorithm for the TOPSIS method based on correlation coefficients to identify a suitable leader, who can bring changes to society in the socio-political context. …”
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Analysis and Application of Chinese Language and Literature Teaching Program Based on Computer Multimedia Technology by Zhaodi Wu

“…While maintaining the interest in Chinese language, the accuracy of spam article recognition algorithm is more than 85%, and the highest result can reach 94.5%.…”
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Adaptive Fractional Hybrid Impedance Control of Rotary Series Elastic Actuator in Flat Terrains by Muhammed Özdemir, Zafer Bingül

“…Unlike traditional impedance control methods, AFH‐IC, which is enhanced with fractional‐order control and an adaptive fuzzy algorithm, is designed to eliminate torque errors in time‐varying stiffness environments. …”
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Enhancing Relationship Link Prediction With Hierarchical Feature Enhancement by Zhouying Xu, Huiyue Wang

“…The network-level features are obtained through a soft-partitioning overlapping community detection algorithm, namely BIGCLAM(Cluster Affiliation Model for Big Networks). …”
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A robust resilient-oriented design for the cyber-physical distribution system against sequential typhoons by Shimei Li, Zhanghao Huang, Jinman Luo, Jianyong Zhan, Liyuan Liu, Die Cong, Xiaoxia Li, Yunan Lin, Ling Yu, Yu Nie, Wenlong Chen, Keng-Weng Lao

“…In the prevention response stage, line hardening, battery storage systems and soft open point deployment, as well as wireless communication configuration are conducted before typhoons. …”
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18 F sodium fluoride PET/CT in patients with prostate cancer: Quantification of normal tissues, benign degenerative lesions, and malignant lesions by Jorge Oldan, A Hawkins, Bennett Chin

“…These normal ranges, specifically for prostate cancer patients, will aid in clinical interpretation and also help to establish the basis of normal limits in a semiautomated data analysis algorithm.…”
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