Secondary Frequency Control of Islanded Microgrid Based on Deep Reinforcement Learning by Li WANG, Yuxiang JIANG, Xiangjun ZENG, Bin ZHAO, Junhao LI

“…The results show that, compared to traditional PID control and Q-Learning-based controllers, the proposed method achieves more stable secondary frequency control and adapts to coordinate the power allocation of distributed generation units according to their capacities, ensuring the stable operation of the system.…”
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Application of microscopic smartphone attachment for remote preoperative lab testing by Kefan Song, Kefan Song, Alexander T. Adams, Alexander T. Adams

“…Future enhancements, including wider field-of-view, adjustable magnification, more advanced and integrated algorithms as well as integration with a microfluidic channel for direct sample analysis, are proposed to expand the device’s functionality. …”
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Automotive DNN-Based Object Detection in the Presence of Lens Obstruction and Video Compression by Gabriele Baris, Boda Li, Pak Hung Chan, Carlo Alberto Avizzano, Valentina Donzella

“…Recent advances in sensing, processing, machine learning, and communication technologies are accelerating assisted and automated functions development for commercial vehicles. Environmental perception sensor data streams are processed to generate a correct and complete situational awareness. …”
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Health systems governance, shocks and resilience: a scoping review of key concepts and theories by Mauricio Avendano, Didier Wernli, Stéfanie Monod, Camille Poroes, Giulia Belloni, Nolwenn Bühler

“…To address this gap, the aim of this paper is to carry out a scoping review of conceptualisation and theories on the definition and relationship between governance and health system resilience in the context of shocks.Methods Six electronic databases were searched using the following keywords: resilience, health system, framework and governance. 835 abstracts were screened, and 47 full texts were extracted and analysed in MAXQDA using inductively generated codes. We analysed the conceptualisation of health system resilience, governance and shock and theories on the relationship between them.Results Although there are no collectively agreed definitions, health system resilience is typically defined as the capacity of a system to continue to perform its fundamental functions in the setting of acute disruptive events (shocks). …”
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Media portrayals and social stigma surrounding COVID-19 survivors: a content analysis of Chinese media coverage by Weili Wang, Wenxuan Zhang

“…While the negative impacts of COVID-19 on survivors’ labour and social capacities were not a major focus in most outlets, these impacts were still present, particularly in People’s Daily and Sanlian Lifeweek, which reported more significant negative effects on survivors’ social functions. …”
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Comparative Efficacy of Quadratus Lumborum Muscle Energy Technique with Gluteus Medius Strengthening Versus Gluteus Medius Strengthening Alone in Sacroiliac Joint Dysfunction: A Ra... by Rabail Rani Soomro, Hossein Karimi, Syed Amir Gilani

“…Methods: Using a computer-generated random number table, seventy patients with unilateral sacroiliac joint pain were divided equally and randomly into two groups. …”
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2LE-BO-DeepTrade: an integrated deep learning framework for stock price prediction by Zinnet Duygu Akşehir, Erdal Kılıç

“…The model within this framework, characterized by its optimized yet simple structure, demonstrated superior predictive performance compared to the more complex ICE2DE-MDL model in the literature. …”
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Quality of Life of Patients with Back Pain by Bianka Misiak, Katarzyna Krystyna Snarska

“…Back pain often included one or two sections of the spine and the degree of pain perceived generated deterioration in the quality of life caused by an increase in absence from work, severity of depression, limited social interaction, and difficulties in carrying out physiological functions. 2. …”
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Poisson random measure noise-induced coherence in epidemiological priors informed deep neural networks to identify the intensity of virus dynamics by Saima Rashid, Ayesha Siddiqa, Fekadu Tesgera Agama, Nazeran Idrees, Mohammed Shaaf Alharthi

“…The study depends on two functional scenarios to quantitatively clarify the theoretical results. …”
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MODERNIZING MOUNTAIN EDUCATION: ESTABLISHING A TECHNOLOGY-BASED ISLAMIC BOARDING SCHOOL TO ENHANCE LEARNING QUALITY by Agung Wijaksono, Albadri Albadri

“…The appropriate application of technology can strengthen Pondok Pesantren's role in preparing a more competitive generation for the digital age. …”
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Optimized multi‐biometric enhancement analysis by Saliha Artabaz, Layth Sliman, Karima Benatchba, Mouloud Koudil

“…To do so, the study applies different functions that are generated using genetic programming (GP) on the 2000 multi‐biometric instances produced by the fusion of different biometric matching scores. …”
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Zmiany modelu poznawczego uczniów w kontekście prac nad e-podręcznikiem by Jolanta Dyrda

“…The computer and multi-function mobile telephones accompany young people incessantly. …”
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Application of Electrochemical Impedance Spectroscopy for Diagnostics in Fuel Cells, Electrolyzers, and Batteries by Chanho Kim, Inyoung Jang

“…Fuel cells are recognized for their ability to generate electricity from hydrogen and oxygen, with water as the only byproduct, and can also function in reverse as energy storage systems by producing hydrogen. …”
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Prescribing Peritoneal Dialysis for Elderly Patients Starting Peritoneal Dialysis by Andrew Davenport

“…Increased availability of dialysis services has led to both an increase in the number of elderly, frail, co-morbid patients with advanced chronic kidney disease now being offered dialysis and starting dialysis with residual kidney function. Traditionally, these patients would have been offered in-centre haemodialysis. …”
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Transmission Scheme for Massive MIMO Systems Using Nulling-Based Approach by Prateek Anand, Arti M.K., Manoranjan Kumar

“…The statistical properties of the instantaneous signal-to-noise ratio are characterized at the receiver by deriving closed-form expressions of the moment-generating function (MGF). An approximate expression of the symbol error rate (SER) of the proposed scheme-based system is obtained by using the MGF expression. …”
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A method for benchmarking genetic screens reveals a predominant mitochondrial bias by Mahfuzur Rahman, Maximilian Billmann, Michael Costanzo, Michael Aregger, Amy H Y Tong, Katherine Chan, Henry N Ward, Kevin R Brown, Brenda J Andrews, Charles Boone, Jason Moffat, Chad L Myers

“…Abstract We present FLEX (Functional evaluation of experimental perturbations), a pipeline that leverages several functional annotation resources to establish reference standards for benchmarking human genome‐wide CRISPR screen data and methods for analyzing them. …”
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Muscle Fat and Volume Differences in People With Hip‐Related Pain Compared With Controls: A Machine Learning Approach by Chris Stewart, Evert O. Wesselink, Zuzana Perraton, Kenneth A. Weber II, Matthew G. King, Joanne L. Kemp, Benjamin F. Mentiplay, Kay M. Crossley, James M. Elliott, Joshua J. Heerey, Mark J. Scholes, Peter R. Lawrenson, Chris Calabrese, Adam I. Semciw

“…These changes may facilitate greater muscular efficiency for a given load, enabling the athlete to maintain their normal level of function. In addition, the CNNs for muscle segmentation was more efficient and demonstrated excellent reliability in comparison to manual segmentations.…”
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qGO: a novel method for quantifying the diversity of mitochondrial genome organization by Haihe Shi, Shuai Yang, Meicai Wei, Gengyun Niu

“…This method improves the comparability of genomes and allows a more accurate comparison of the diversity of mitochondrial genome organization across taxa. …”
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Performance evaluation of extreme value prediction methods for bridge traffic load effects by Miaomiao Xu, Xiao-Yi Zhou, Jie Shen, Deliang Ding, Sugong Cao, C. S. Cai

“…Accurately determining the distribution functions of maximum values is crucial for assessing bridge safety under traffic loads. …”
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Synthetic Microwave Focusing Techniques for Medical Imaging: Fundamentals, Limitations, and Challenges by Younis M. Abbosh, Kamel Sultan, Lei Guo, Amin Abbosh

“…Other approaches replace the simplified Green’s function with more representative functions. While these focusing techniques offer benefits like speed and low computational requirements, they face significant ongoing challenges in real-life applications due to their oversimplified linear solutions to the complex problem of non-linear medical microwave imaging. …”
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