Breaking Digital Health Barriers Through a Large Language Model–Based Tool for Automated Observational Medical Outcomes Partnership Mapping: Development and Validation Study by Meredith CB Adams, Matthew L Perkins, Cody Hudson, Vithal Madhira, Oguz Akbilgic, Da Ma, Robert W Hurley, Umit Topaloglu

“…The architecture combines Unified Medical Language System semantic frameworks with asynchronous processing for efficient concept mapping, made available through an open-source implementation. …”
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Advancing confidence and competence in junior doctors: specialist medicine weekend teaching programme by Sooraj Mannil, Masooma Hussain, Sonali Katti, Jay Patel, Latif Rahman

“…Significant gains were seen in audits, conference presentations and specialty training applications. Overwhelmingly positive feedback highlights the programme’s effectiveness in professional development, benefiting both doctors and the healthcare system.…”
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Adaptive Sharding for UAV Networks: A Deep Reinforcement Learning Approach to Blockchain Optimization by Kaiyin Lu, Xinguang Zhang, Tianbo Zhai, Mengjie Zhou

“…As unmanned aerial vehicle (UAV) technology expands into diverse applications, the demand for enhanced performance intensifies. …”
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Extreme synchronization transitions by Seungjae Lee, Lennart J. Kuklinski, Marc Timme

“…Motivated by recent experimental observations, we here uncover an intriguing class of transitions in coupled oscillators, extreme synchronization transitions, from asynchronous disordered states to synchronous states with almost completely ordered phases. …”
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A neuromorphic electronic artist for robotic painting by Lioba Schürmann, Giulia D’Angelo, Liat Grayver, Chiara Bartolozzi, Giacomo Indiveri

“…Neuromorphic cameras, which capture light intensity changes through asynchronous events, and mixed-signal neuromorphic processors, which implement biologically plausible spiking neural networks, offer a promising alternative. …”
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Collective behavior of higher-order globally coupled oscillatory networks in response to positive and negative couplings by Lixin Yang, Mengjiao Li, Jun Jiang

“…Collective behavior is among the most fascinating complex dynamics in coupled networks with applications in various fields. Recent works have shown that higher-order interactions widely exist in complex systems. …”
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Performance Evaluation of Fixed-Point Continuous Monitoring Systems: Influence of Averaging Time in Complex Emission Environments by David Ball, Nathan Eichenlaub, Ali Lashgari

“…Real-world emission scenarios can involve dynamic operational background emissions and temporally overlapping asynchronous emission events with varying rates from multiple sources. …”
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Efficient Tactile Perception in Robotics: Reducing Data Redundancy through Compression and Normalization in Spiking Graph Convolutional Networks by Elahe Rezaee Ahvanooii, Sheis Abolmaali

“…Recent developments in electronic skin technology have brought robots closer to achieving human-like tactile perception by enabling asynchronous responses to temperature and pressure changes, thereby enhancing robotic precision in tasks like object manipulation and grasping. …”
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Multimodal GRU with directed pairwise cross-modal attention for sentiment analysis by Zhenkai Qin, Qining Luo, Zhidong Zang, Hongpeng Fu

“…However, current methods often face challenges in handling asynchronous signals and capturing long-term dependencies between different modalities. …”
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Learning Difficulties and Coping Mechanisms of Education Students in the Shift to Flexible Learning Modality amidst COVID-19 Pandemic by Rowel Olila

“…As educational institutions struggle to continue despite the ensuing COVID-19 Pandemic, online resources, learning management systems, synchronous and asynchronous teaching and learning modalities, blended and flexible learning, and a thousand different online applications and platforms were sought to facilitate the delivery of quality education still. …”
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Black-Box Wiener-Hammerstein Model With Polytopic Dynamic Structure for Highly Non-Linear DC-DC Power Electronic Converters by Fernando Perez, Airan Frances, Javier Uceda

“…Moreover, converters are known for their non-linear nature, which limits the applicability of linear models in applications where the operating point changes substantially, like in DC microgrids with renewable sources. …”
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PixelCraftSR: Efficient Super-Resolution with Multi-Agent Reinforcement for Edge Devices by M. J. Aashik Rasool, Shabir Ahmed, S. M. A. Sharif, Mardieva Sevara, Taeg Keun Whangbo

“…Single-image super-resolution imaging methods are increasingly being employed owing to their immense applicability in numerous domains, such as medical imaging, display manufacturing, and digital zooming. …”
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A Long-Term Target Search Method for Unmanned Aerial Vehicles Based on Reinforcement Learning by Dexing Wei, Lun Zhang, Mei Yang, Hanqiang Deng, Jian Huang

“…This paper addresses this critical issue by introducing a novel method—temporally asynchronous grouped environment reinforcement learning (TAGRL). …”
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A Review of Distributed Ledger Technologies for Satellite Operations by Beth Probert, Ruaridh A. Clark, Erik Blasch, Malcolm Macdonald

“…By examining analogous applications in swarms of Uncrewed Aerial Systems, and the Internet of Things, key system requirements for decentralised satellite coordination are defined. …”
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Genome-wide analysis of DNA replication and DNA double-strand breaks using TrAEL-seq. by Neesha Kara, Felix Krueger, Peter Rugg-Gunn, Jonathan Houseley

“…Replication maps are similar to those obtained by Okazaki fragment sequencing; however, TrAEL-seq is performed on asynchronous populations of wild-type cells without incorporation of labels, cell sorting, or biochemical purification of replication intermediates, rendering TrAEL-seq far simpler and more widely applicable than existing replication fork direction profiling methods. …”
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Efficient Multi-Sensor Fusion for Cooperative Autonomous Vehicles Leveraging C-ITS Infrastructure and Machine Learning by Jiwon Kwak, Hayoung Jeon, Seokil Song

“…The widespread deployment of Cooperative Intelligent Transport Systems (C-ITS) has elevated the need for robust, real-time sensor fusion strategies capable of handling noisy, asynchronous data from multiple infrastructure sensors. …”
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Research on Adhesion Utilization Control Strategy for Permanent Magnet Direct Drive of Rail Transit Train by ZENG Kairuo, DENG Hao, LI Ke, LIU Dongwei, HUANG Shenpei, ZHANG Xun

“…Despite the absence of a transmission gear structure and large given motor torque, under wheelset slip-slide conditions, rail transit train with permanent magnet direct drive system exhibits more severe fluctuations in adhesion output torque compared with the train with asynchronous traction system, which reduce the utilization rate of wheel-rail adhesion and negatively impact riding comfort. …”
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Students Collaboratively Prompting ChatGPT by Maria Perifanou, Anastasios A. Economides

“…In a course on the Applications of Information Systems, 153 undergraduate students were organized into teams of 3. …”
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High-efficiency sparse convolution operator for event-based cameras by Sen Zhang, Fusheng Zha, Fusheng Zha, Xiangji Wang, Mantian Li, Wei Guo, Pengfei Wang, Xiaolin Li, Lining Sun

“…Event-based cameras are bio-inspired vision sensors that mimic the sparse and asynchronous activation of the animal retina, offering advantages such as low latency and low computational load in various robotic applications. …”
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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

“…However, in some applications, reducing the data flow is impossible, since the received information is processed with a delay. …”
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