Asynchronous Distributed Model Predictive Control for Multi-Agent Systems by Xiaoxiao Mi, Yuanjiang Liao, Hongzheng Zeng

“…This paper primarily focuses on the asynchronous cooperation control problem of multi-agent systems with external disturbances. …”
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Advanced Monte Carlo for Acquisition Sampling in Bayesian Optimization by Javier Garcia-Barcos, Ruben Martinez-Cantin

“…Bayesian optimization (BO) has proved to be a suitable optimization method in these situations thanks to its sample efficiency and principled way of learning from previous data, but it typically requires that experiments are sequentially performed. …”
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Noise-augmented chaotic Ising machines for combinatorial optimization and sampling by Kyle Lee, Shuvro Chowdhury, Kerem Y. Camsari

“…Abstract Ising machines are hardware accelerators for combinatorial optimization and probabilistic sampling, using stochasticity to explore spin configurations and avoid local minima. …”
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EPPTA: Efficient partially observable reinforcement learning agent for penetration testing applications by Zegang Li, Qian Zhang, Guangwen Yang

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Computerised Method of Multiparameter Optimisation of Predictive Control Algorithms for Asynchronous Electric Drives by Grygorii Diachenko, Serhii Semenov, Katarzyna Marczak, Gernot Schullerus, Ivan Laktionov

“…The results obtained can be used to design and operate energy-efficient control systems for asynchronous electric drives in industrial and transport applications. …”
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Event-Triggered Asynchronous Dissipative Control for Markov Jump Systems With Unknown Probabilities by Huiying Chen, Mingshuai Jiang, Renwei Liu, Zuxin Li, Yanfeng Wang

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National dissemination of an online research mentor training intervention: Evidence of an asynchronous model to promote learning outcomes and behavior change by Anne Marie Weber-Main, Kimberly Spencer, Emma Dums, So Hee Hyun, Christine Pfund

“…This article reports on the usage and impact of the University of Minnesota Clinical and Translational Science Institute’s online mentor training module, Optimizing the Practice of Mentoring (OPM). Among the 1,124 OPM users in our contemporary evaluation sample (Feb 2019–June 2022), retrospective pre-to-post gains were observed in respondents’ self-rated mentorship skills (11 items), perceptions of the overall quality of mentoring they provide, and mentoring confidence. …”
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Joint Optical Performance Monitoring and Modulation Format/Bit-Rate Identification by CNN-Based Multi-Task Learning by Xiaojie Fan, Yulai Xie, Fang Ren, Yiying Zhang, Xiaoshan Huang, Wei Chen, Tianwen Zhangsun, Jianping Wang

“…A novel technique is proposed for joint multi-impairment optical performance monitoring (OPM) with bit-rate and modulation format identification (BR-MFI) in next-generation heterogeneous optic communication networks by convolution neural network (CNN)-based deep multi-task learning (MTL) on asynchronous delay-tap sampling phase portraits. Instead of treating the monitoring and identification tasks as separate problems, a novel MTL technique is used to joint optimization of them utilizing the ability of feature extraction and feature sharing. …”
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Electric Drive and Automation of Sampling System for Chimney Fas Analyzer by V. I. Emeliantchikov, E. E. Loikuts, O. F. Opeiko

“…To ensure the optimal trajectory of the sampler in the chimney section, it is necessary to use an asynchronous electric motor with a frequency converter and a position sensor. …”
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Power Harmonic Analysis via Neural Network and Quasi-synchronous Sampling Method by PENG Daming, XIAO Shenping, ZHOU Huanxi

“…Aiming at the accuracy of power system harmonic analysis with asynchronous sampling, a harmonic analysis algorithm based on quasi synchronous sampling algorithm and neural network is proposed in this paper. …”
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Synchronization and Optimal Operation of a 140 kVA Inverter in On-Grid Mode Using Mamdani Controllers in Cascade by Jesús Rodríguez-Flores, Victor Herrera-Perez, Javier Gavilanes, Andrés Morocho, Jorge Hernandez-Ambato

“…The applied correlational technique to achieve the synthesis of the sinusoid and the synchronization presented optimal performance when using 17 samples per signal period. …”
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Stochastic Polling Interval Adaptation in Duty-Cycled Wireless Sensor Networks by Sungryoul Lee

“…Furthermore, our simulation results demonstrate that the polling interval asymptotically converges to the optimal value.…”
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Software Methodology for Data Control and Collection for Autonomous Monitoring Systems with a Large Amount of Generated Information on the Example of Software for a Hydrological Ra... by I. S. Serdiukov, V. I. Veremyev, Van Tuan Nguyen

“…In some applications, such a flow is redundant and can be optimized through the use of various algorithms for the primary processing of information. …”
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Comparing In-Person, Standard Telehealth, and Remote Musculoskeletal Examination With a Novel Augmented Reality Exercise Game System: Pilot Cross-Sectional Comparison Study by Richard Wu, Keerthana Chakka, Sara Belko, Ninad Khargonkar, Kevin Desai, Balakrishnan Prabhakaran, Thiru Annaswamy

“… Abstract BackgroundCurrent telemedicine technologies are not fully optimized for conducting physical examinations. The Virtual Remote Tele-Physical Examination (VIRTEPEX) system, a novel proprietary technology platform using a Microsoft Kinect-based augmented reality game system to track motion and estimate force, has the potential to assist with conducting asynchronous, remote musculoskeletal examinations. …”
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Impact of digital interdisciplinary consultation on secondary care referrals by general practitioners: a protocol for a stepped-wedge cluster randomised controlled trial by Maarten Postma, Danielle Jansen, Henk van der Worp, Marco H Blanker, Henk Schers, Sanne Sanavro, Joke Stoffelen, Paul Koning, Michiel de Boer, Guus Janus

“…Introduction Optimal collaboration between general practice and hospital care is crucial to maintain affordable and sustainable access to healthcare for the entire population. …”
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Blended form of education as an innovative approach in the training of medical students: The experience of Ukraine by Natalia M. Kalyniuk, Valentyn V. Franchuk, Petro R. Selskyy, Nadiia V. Humenna, Olena I. Hladii

“…It is a multifaceted work related to the search for the optimal balance between traditions, rich historical experience, and innovation and is combined in a blended form of education. …”
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Adaptive high frequency data streaming for Soft Real-Time Industrial AI: A scalable microservices based architecture with dynamic downsampling by Telmo Fernández De Barrena, Alcides Fernandes, Juan Luis Ferrando, Ander García, Hugo Landaluce, Ignacio Angulo

“…The system leverages asynchronous messaging protocols (MQTT and ZMQ) and a Docker-based microservices framework to ensure scalable and efficient data processing. …”
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Adverse events associated with the delivery of telerehabilitation: A scoping review protocol. by Thomas Yau, McKyla McIntyre, Josh Chan, Damanveer Bhogal, Angie Andreoli, Mark Bayley, Carl Froilan D Leochico, Ailene Kua, Meiqi Guo, Sarah Munce

“…All modes of telerehabilitation delivery (asynchronous, synchronous, or hybrid) will be included. …”
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Electronic Communication Between Children’s Caregivers and Health Care Teams: Scoping Review on Parental Caregiver’s Perceptions and Experience by Mary Jo Gamper, Rebecca Singer Cohen, Maryam Esperanza Razaz, Elaina Parrillo, Clifton P Thornton, Aleksandra Wec, Kathryn McDonald, Kelly T Gleason

“… Abstract BackgroundAsynchronous communication via electronic modes (e-communication), including patient portals, secure messaging services, SMS text messaging, and email, is increasingly used to supplement synchronous face-to-face medical visits; however, little is known about its quality in pediatric settings. …”
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Addressing the dynamic nature of reference data: a new nucleotide database for robust metagenomic classification by Jose Manuel Martí, Car Reen Kok, James B. Thissen, Nisha J. Mulakken, Aram Avila-Herrera, Crystal J. Jaing, Jonathan E. Allen, Nicholas A. Be

“…This approach is crucial for ensuring accuracy and reliability of metagenomic analysis, especially as databases continue to expand in size and complexity.IMPORTANCEAccurately identifying the diverse microbes present in a sample, whether from the human gut, a soil sample, or a crime scene, is crucial for fields ranging from medicine to environmental science. …”
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