GenFedRL: a general federated reinforcement learning framework for deep reinforcement learning agents by Biao JIN, Yikang LI, Zhiqiang YAO, Yulin CHEN, Jinbo XIONG

“…To solve the problem that intelligent devices equipped with deep reinforcement learning agents lack effective security data sharing mechanisms in the intelligent Internet of things, a general federated reinforcement learning (GenFedRL) framework was proposed for deep reinforcement learning agents.The joint training through model-sharing technology was realized by GenFedRL without the need to share the local private data of deep reinforcement learning agents.Each agent device’s data and computing resources could be effectively used without disclosing the privacy of its private data.To cope with the complexity of the real communication environment and meet the need to accelerate the training speed, a model-sharing mechanism based on synchronization and parallel was designed for GenFedRL.Combined with the model structure characteristics of common deep reinforcement learning algorithms, general federated reinforcement learning algorithm suitable for single network structure and multi-network structure was designed based on the FedAvg algorithm, respectively.Then, the model sharing mechanism among agents with the same network structure was implemented to protect the private data of various agents better.Simulation experiments show that common deep reinforcement learning algorithms still perform well in GenFedRL even in the harsh communication environment where most data nodes cannot participate in training.…”
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Sensitivity of Model Estimates of CME Propagation and Arrival Time to Inner Boundary Conditions by Lauren A. James, Christopher J. Scott, Luke A. Barnard, Mathew J. Owens, Matthew S. Lang, Shannon R. Jones

“…For the 12 December 2008 Earth‐directed CME event, we compute ensembles using the HUXt solar wind model to analyze CME distortion with a structured solar wind and explore hindcast arrival time error (ATE). …”
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Stress-Strength Reliability of Two-Parameter Exponential Distribution Based on Progres- sively Type-II Censored Data by Sajad Rostamian

“…Methods: The maximum likelihood and the best linear unbiased estimates of  are obtained, and the Bayes estimates of  are computed under the squared error, linear-exponential, and Stein loss functions. …”
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Sacral Stress Fracture following the Bone Union of Lumbar Spondylolysis by Tatsuro Sasaji, Hideki Imaizumi, Hiroyuki Takano, Hideo Saitoh, Taishi Murakami, Ryuichi Kanabuchi, Motohiko Sekiya

“…After 1 year, a lumbar spine computed tomography revealed the bone union of the spondylolysis. …”
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Changes in the Size of a Ruptured Pheochromocytoma after Transcatheter Arterial Embolization by Takahiro Ichikawa, Chikako Oyabu, Megumi Minamida, Yusuke Ichijo, Yoshitaka Hashimoto, Mai Asano, Hiroya Iwase, Toru Tanaka, Michiaki Fukui

“…A 60-year-old Japanese woman was referred to the emergency department of another hospital with a sudden onset of left lateral pain. Computed tomography of the abdomen revealed adrenal hemorrhage with a 5.7 cm adrenal mass, and she was transferred to our hospital for treatment. …”
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A Multistage Decision-Feedback Receiver Design for LTE Uplink in Mobile Time-Variant Environments by Juinn-Horng Deng, Shu-Min Liao

“…Instead of using a conventional equalizer, this work uses a group frequency-domain equalizer (GFDE) to reduce computational complexity. Furthermore, this work utilizes a dual iterative structure of group parallel interference cancellation (GPIC) and frequency-domain group parallel interference cancellation (FPIC) to mitigate the ICI effect. …”
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A Case of Large Perianal Mucinous Adenocarcinoma Arising from Recurrent Abscess and Complex Fistulae by Fahmi Pramaditto Azmi, Nur Afdzillah Abdul Rahman, Luqman Mazlan, Normala Basiron, Farrah-Hani Imran

“…An incisional biopsy from the ulcer revealed mucinous adenocarcinoma. Contrast-enhanced computed tomography (CT) scan and magnetic resonance imaging (MRI) scan showed a localized perianal growth which involves the internal and external sphincter as well as suspicious involvement in the posterior aspect of the levator ani/puborectalis sling, which was further confirmed with colonoscopy (see figures). …”
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Control Characteristics Analysis of Multi-Section Morphing Wing Based on Centroid Self-Trimming by Hang Ma, Zhongbin Zhou, Dingshan Zhang

“…This research selects stable roll and pitching motion to investigate the feasibility and effectiveness of using the asymmetric change of sweep angle as the control input and using the reverse collaborative morphing of the inner and outer wing sections to achieve centroid self-trimming. The computational analysis results show: 1) The asymmetry morphing of the sweep angle can significantly improve the maneuvering control performance of the UAV with a large lift coefficient. 2) The overall control efficiency of the UAV can be effectively improved by increasing the deflection rate of the sweep angle and the system parameters of the main controller and supervisory controller. 3) Increasing the feedback value of the integral term of the PI compensator in the inner loop can reduce the oscillation degree of the inner loop system in tracking the target signal when the Mach number is large, and improve the tracking accuracy of the inner loop system. 4) Increasing the wingspan ratio of the inner wing section can reduce the elevator deflection angle required to track the target pitch signal during the morphing process. …”
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Research Progress of Silicon based Micro Ring Resonators by HOU Linjun, FENG Song, OUYANG Jie, HU Xiangjian, LI Haojie, GUO Shaokai, LIU Yong, WANG Di, CHEN Menglin, FENG Lulu, ZHOU Ran, WU Jianyang, ZENG Yuling, HE Xinyi

“…With the rapid growth of big data demand, electronic chips and their interconnection technologies cannot meet the requirements of high-speed data transmission and high energy efficiency in computing and storage systems. Compared to traditional electronic chips, Silicon based Photonic (SiP) integrated chips have lower costs, higher integration density, and larger communication capacity. …”
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Symptomatic Intracranial Atherosclerosis in an Australian Context: Common and Underdiagnosed in Multiple Ethnic Groups by Davor Pavlin‐Premrl, Michael Waters, Vincent Thijs, Peter J. Mitchell, Nawaf Yassi, Mark W. Parsons, Louise Weir, Lauren Pesavento, Julian Maingard, Geoffrey Cloud, Vimal Stanislaus, Mei Ngun, Bruce C.V. Campbell

“…Symptomatic ICAD was independently identified by 2 blinded stroke neurologists using multiplanar reformats and maximum intensity projections of routinely acquired thin slice computed tomography angiography data, with disagreements resolved by a third blinded stroke neurologist. …”
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Unraveling mechanisms of electrolyte wetting process in three-dimensional electrode structures: Insights from realistic architectures by Fei Chen, Tianxin Chen, Zhenxuan Wu, Zihan Zhou, Kunjie Lu, Jinyao Su, Yihua Wang, Jianfeng Hua, Xin Lai, Xuebin Han, Minggao Ouyang, Yuejiu Zheng

“…Using advanced X-ray computed tomography, three-dimensional electrode structures are reconstructed, and permeability and capillary action are evaluated as key parameters. …”
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Analyzing Morphometry of Foramen Magnum using CBCT: A Forensic Radiology Study by Deepankar Misra, Sumit Bateja

“…Objectives: The study’s objective was to do morphometric analysis of foramen magnum and to obtain any gender-wise or age-wise correlation between these measurements of foramen magnum in population of Western Uttar Pradesh using cone beam computed tomography (CBCT). Methods: 450 CBCT scans of the subjects aged between 11 and 70 years were used in the study. …”
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Compressive SAR Imaging Based on Modified Low-Rank and Sparse Decomposition by Jeong-Il Byeon, Wookyung Lee, Jihoon Choi

“…Numerical simulations using SAR modeling data validate the convergence of the proposed method and compare its computational complexity with baseline CS-SAR imaging schemes. …”
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Yindanxinnaotong, a Chinese compound medicine, synergistically attenuatesatherosclerosis progress by Long Cheng, Guo-feng Pan, Xiao-dong Zhang, Jian-lu Wang, Wan-dan Wang, Jian-yong Zhang, Hui Wang, Ri-xin Liang, Xiao-bo Sun

“…We initiallyperformed a computational prediction based on a network pharmacology simulation,which clued YD exerted synergistically anti-atherosclerosis properties by vascularendothelium protection, lipid-lowering, anti-inflammation and anti-oxidation. …”
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Bidirectional Brush Seals – Post-Test Analysis by Robert C. Hendricks, Jack Wilson, Tom Y. Wu, Ralph Flower, Robert L. Mullen

“…This difference could explain the departure of experimental data from computational fluid dynamics flow predictions for well-packed arrays at higher pressure drops. …”
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Micro-PET/CT Monitoring of Herpes Thymidine Kinase Suicide Gene Therapy in a Prostate Cancer Xenograft: The Advantage of a Cell-specific Transcriptional Targeting Approach by Mai Johnson, Makoto Sato, Jeremy Burton, Sanjiv S. Gambhir, Michael Carey, Lily Wu

“…Serial bioluminescence imaging, positron emission tomography, and computed tomography revealed restriction of gene expression to the tumors when prostate-specific vector was employed. …”
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Assessment of groundwater potential zones using geospatial techniques in Mangalore Taluk, Dakshina Kannada District, Karnataka, India by Eka Putri Elsa, Hamidi Masyhuri, M Shet Suraj, S A Swapna

“…Each weighted thematic layer was computed statistically for the groundwater potential zones. …”
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Cranial osteology and neuroanatomy of the late Permian reptile Milleropsis pricei and implications for early reptile evolution by Xavier A. Jenkins, Roger B. J. Benson, David P. Ford, Claire Browning, Vincent Fernandez, Elizabeth Griffiths, Jonah Choiniere, Brandon R. Peecook

“…We provide a detailed description of the late Permian millerettid Milleropsis pricei using synchrotron X-ray phase-contrast micro-computed tomography focusing on the cranial anatomy of three individuals known from a burrow aggregation. …”
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On the estimation of inverse-probability-of-censoring weights for the evaluation of survival prediction error. by Thomas Prince, Andrea Bommert, Jörg Rahnenführer, Matthias Schmid

“…A key requirement of the IPCW Brier score is the estimation of the censoring distribution, which is needed to compute the weights. The established paradigm of splitting a dataset into a training and a test set for model fitting and evaluation raises the question which of these datasets to use in order to fit the censoring model. …”
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CT-sensitized nanoprobe for effective early diagnosis and treatment of pulmonary fibrosis by Jiwei Hou, Qijian Ji, Tianyu Tang, Yonger Xue, Lin Gao, Li Dai, Jinbing Xie

“…The distinct honeycombing patterns observed in computed tomography (CT) for the primary diagnosis of PF are typically only visible in patients with moderate to severe disease, often leading to missed opportunities for early intervention. …”
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