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Investigation of coupling effect on the evolution of Richtmyer-Meshkov instability at double heavy square bubbles

Science China(Physics,Mechanics & Astronomy) 2024年第1期67卷 52-70页

作者： Satyvir Singh Dhouha Taib Jalleli Applied and Computational Mathematics RWTH Aachen UniversityAachen 52056Germany Department of Mathematics Graphic Era Deemed to be UniversityDehradun 244712India Mathematics Department University College in DarbJazan UniversityAbu As Sadad 89653Saudi Arabia

This study investigates numerically the coupling effect on the evolution of Richtmyer-Meshkov instability at double heavy square *** scenarios are considered,each with varying initial separations S/L(where L demotes the side length of the square)ranging from 0.125 to *** are filled with SF6gas,and are enclosed by *** simulations of shock-induced multispecies flow are performed by solving the two-dimensional compressible Euler equations with a higher-order explicit modal discontinuous Galerkin *** simulations demonstrate that the flow morphology resulting from the coupling effect is highly dependent on the separation between two *** the separation is large,the squares experience a weaker coupling effect and evolve ***,as the separation reduces,the coupling effect manifests earlier in the interaction and becomes more *** a result,this phenomenon greatly intensifies the motion of inner upstream/downstream vortex rings towards the symmetry axis,leading to the emergence of multiple jets such as the twisted downward,upward,and coupled jets.A thorough exploration of the coupling effect of double squares is conducted by analyzing the vorticity ***,a significant quantity of vorticity is produced along the squares interface for smaller ***,these coupling effects result in various interface features(upstream/downstream movement,and height/width evolution),and temporal variations of various spatially integrated ***,the analysis of the flow structure also considers the interaction between two more flow parameters,the Mach and Atwood numbers,in order to evaluate the coupling effects.

关键词： RM instability shock wave double square bubbles coupling effect

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Universal insertion of molecules in ionic compounds under pressure

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National Science Review 2024年第1期11卷 120-128页

作者： Feng Peng Yanming Ma Chris J.Pickard Hanyu Liu Maosheng Miao College of Physics and Electronic Information Luoyang Normal University Department of Chemistry and Biochemistry California State University Northridge State Key Laboratory of Superhard Materials & Key Laboratory of Material Simulation Methods and Software of Ministry of Education College of Physics Jilin University International Center of Future Science Jilin University Department of Materials Science & Metallurgy University of Cambridge Advanced Institute for Materials Research Tohoku University Department of Earth Science University of California Santa Barbara

Using first-principles calculations and crystal structure search methods, we found that many covalently bonded molecules such as H2, N2, CO2, NH3, H2O and CH4may react with NaC l, a prototype ionic solid,and form stable compounds under pressure while retaining their molecular structure. These molecules,despite whether they are homonuclear or heteronuclear, polar or non-polar, small or large, do not show strong chemical interactions with surrounding Na and Cl ions. In contrast, the most stable molecule among all examples, N2, is found to transform into cyclo-N5-anions while reacting with NaC l under high pressures. It provides a new route to synthesize pentazolates, which are promising green energy materials with high energy density. Our work demonstrates a unique and universal hybridization propensity of covalently bonded molecules and solid compounds under pressure. This surprising miscibility suggests possible mixing regions between the molecular and rock layers in the interiors of large planets.

关键词： molecule-solid hybrid materials high-pressure crystal structure prediction density functional theory planet interior

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FaSRnet:a feature and semantics refinement network for human pose estimation

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Frontiers of Information Technology & Electronic Engineering 2024年第4期25卷 513-526页

作者： Yuanhong ZHONG Qianfeng XU Daidi ZHONG Xun YANG Shanshan WANG School of Microelectronics and Communication Engineering Chongqing UniversityChongqing 400044China Bioengineering College of Chongqing university Chongqing UniversityChongqing 400044China School of Information Science and Technology University of Science and Technology of ChinaHefei 230039China Institutes of Physical Science and Information Technology Anhui UniversityHefei 230039China

Due to factors such as motion blur,video out-of-focus,and occlusion,multi-frame human pose estimation is a challenging *** temporal consistency between consecutive frames is an efficient approach for addressing this ***,most methods explore temporal consistency through refinements of the final *** heatmaps contain the semantics information of key points,and can improve the detection quality to a certain ***,they are generated by features,and feature-level refinements are rarely *** this paper,we propose a human pose estimation framework with refinements at the feature and semantics *** align auxiliary features with the features of the current frame to reduce the loss caused by different feature *** attention mechanism is then used to fuse auxiliary features with current *** terms of semantics,we use the difference information between adjacent heatmaps as auxiliary features to refine the current *** method is validated on the large-scale benchmark datasets PoseTrack2017 and PoseTrack2018,and the results demonstrate the effectiveness of our method.

关键词： Human pose estimation Multi-frame refinement Heatmap and offset estimation Feature alignment Multi-person

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Imaging mass spectrometry: a molecular microscope for studying the role of lipids in Parkinson's disease

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Neural Regeneration Research 2024年第6期19卷 1179-1180页

作者： Vinata Vedam-Mai Jacob M.Samuel Boone M.Prentice Department of Neurology University of Florida Department of Chemistry University of Florida

Parkinson’s disease–A lipidopathy? The histopathological hallmark of Parkinson’s disease(PD) and dementia with Lewy bodies are inclusions enriched in α-synuclein(α-syn), known as Lewy bodies, which are not only composed of proteins, but also a core of lipid species. PD has been thus far principally thought of as a “proteinopathy” caused by the misfolding of α-syn. However,

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Explainable-AI-based two-stage solution for WSN object localization using zero-touch mobile transceivers

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Science China(Information Sciences) 2024年第7期67卷 27-45页

作者： Kai FANG Junxin CHEN Han ZHU Thippa Reddy GADEKALLU Xiaoping WU Wei WANG School of Mathematics and Computer Science Zhejiang A&F University School of Software Dalian University of Technology Faculty of Applied Sciences Macao Polytechnic University Department of Electrical and Computer Engineering Lebanese American University School of Information Engineering Huzhou University Guangdong-Hong Kong-Macao Joint Laboratory for Emotional Intelligence and Pervasive Computing Artificial Intelligence Research Institute Shenzhen MSU-BIT University

Artificial intelligence technology is widely used in the field of wireless sensor networks(WSN).Due to its inexplicability, the interference factors in the process of WSN object localization cannot be effectively eliminated. In this paper, an explainable-AI-based two-stage solution is proposed for WSN object localization. In this solution, mobile transceivers are used to enlarge the positioning range and eliminate the blind area for object localization. The motion parameters of transceivers are considered to be unavailable,and the localization problem is highly nonlinear with respect to the unknown parameters. To address this,an explainable AI model is proposed to solve the localization problem. Since the relationship among the variables is difficult to fully include in the first-stage traditional model, we develop a two-stage explainable AI solution for this localization problem. The two-stage solution is actually a comprehensive consideration of the relationship between variables. The solution can continue to use the constraints unused in the firststage during the second-stage, thereby improving the performance of the solution. Therefore, the two-stage solution has stronger robustness compared to the closed-form solution. Experimental results show that the performance of both the two-stage solution and the traditional solution will be affected by numerical changes in unknown parameters. However, the two-stage solution performs better than the traditional solution, especially with a small number of mobile transceivers and sensors or in the presence of high noise. Furthermore,we have also verified the feasibility of the proposed explainable-AI-based two-stage solution.

关键词： explainable AI object localization semidefinite relaxation mobile transceiver two-stage solution closed-form solution

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A flexible,thin-film microchannel electrode array device for selective subdiaphragmatic vagus nerve recording

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Microsystems & Nanoengineering 2024年第1期10卷 115-128页

作者： Jongcheon Lim Peter A.Zoss Terry L.Powley Hyowon Lee Matthew P.Ward Weldon School of Biomedical Engineering Purdue UniversityWest LafayetteINUSA Birck Nanotechnology Center Purdue UniversityWest LafayetteINUSA Center for Implantable Devices Purdue UniversityWest LafayetteINUSA Department of Psychological Sciences Purdue UniversityWest LafayetteINUSA Purdue Institute of Integrative Neuroscience Purdue UniversityWest LafayetteINUSA Indiana university School of Medicine IndianapolisINUSA

The vagus nerve(VN)plays an important role in regulating physiological conditions in the gastrointestinal(GI)tract by communicating via the parasympathetic pathway to the enteric nervous system(ENS).However,the lack of knowledge in the neurophysiology of the VN and GI tract limits the development of advanced treatments for autonomic dysfunctions related to the *** better understand the complicated underlying mechanisms of the VN-GI tract neurophysiology,it is necessary to use an advanced device enabled by microfabrication *** several candidates including intraneural probe array and extraneural cuff electrodes,microchannel electrode array devices can be used to interface with smaller numbers of nerve fibers by securing them in the separate channel *** microchannel electrode array devices to interface teased nerve structures are relatively bulky with thickness around 200µ*** thick design can potentially harm the delicate tissue structures,including the nerve *** this paper,we present a flexible thin film based microchannel electrode array device(thickness:11.5µm)that can interface with one of the subdiaphragmatic nerve branches of the VN in a *** demonstrated recording evoked compound action potentials(ECAP)from a transected nerve ending that has multiple nerve ***,our analysis confirmed that the signals are from C-fibers that are critical in regulating autonomic neurophysiology in the GI tract.

关键词： electrode recording film

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Fully flexible implantable neural probes for electrophysiology recording and controlled neurochemical modulation

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Microsystems & Nanoengineering 2024年第3期10卷 317-333页

作者： Mohammad Hassan Malekoshoaraie Bingchen Wu Daniela DKrahe Zabir Ahmed Stephen Pupa Vishal Jain Xinyan Tracy Cui Maysamreza Chamanzar Electrical and Computer Engineering Carnegie Mellon UniversityPittsburghPA 15213USA Bioengineering University of PittsburghPittsburghPA 15260USA Center for Neural Basis of Cognition University of Pittsburgh and Carnegie Mellon UniversityPittburgh 15213USA McGowan Institute for Regenerative Medicine University of PittsburghPittsburgh 15219USA Carnegie Mellon Neuroscience Institute Carnegie Mellon UniversityPittsburgh 15213USA

Targeted delivery of neurochemicals and biomolecules for neuromodulation of brain activity is a powerful technique that,in addition to electrical recording and stimulation,enables a more thorough investigation of neural circuit *** have designed a novel,flexible,implantable neural probe capable of controlled,localized chemical stimulation and electrophysiology *** neural probe was implemented using planar micromachining processes on Parylene C,a mechanically flexible,biocompatible *** probe shank features two large microelectrodes(chemical sites)for drug loading and sixteen small microelectrodes for electrophysiology recording to monitor neuronal response to drug *** reduce the impedance while keeping the size of the microelectrodes small,poly(3,4-ethylenedioxythiophene)(PEDOT)was electrochemically coated on recording *** addition,PEDOT doped with mesoporous sulfonated silica nanoparticles(SNPs)was used on chemical sites to achieve controlled,electrically-actuated drug loading and *** neurotransmitters,including glutamate(Glu)and gamma-aminobutyric acid(GABA),were incorporated into the SNPs and electrically triggered to release *** in vitro experiment was conducted to quantify the stimulated release profile by applying a sinusoidal voltage(0.5 V,2 Hz).The flexible neural probe was implanted in the barrel cortex of the wild-type Sprague Dawley *** expected,due to their excitatory and inhibitory effects,Glu and GABA release caused a significant increase and decrease in neural activity,respectively,which was recorded by the recording *** novel flexible neural probe technology,combining on-demand chemical release and high-resolution electrophysiology recording,is an important addition to the neuroscience toolset used to dissect neural circuitry and investigate neural network connectivity.

关键词： Parylene recording release

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Guest Editorial:Knowledge‐based deep learning system in bio‐medicine

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CAAI Transactions on Intelligence Technology 2024年第4期9卷 787-789页

作者： Yu‐Dong Zhang Juan Manuel Górriz university of Leicester LeicesterUK university of Granada GranadaSpain

Numerous healthcare procedures can be viewed as medical sector *** the modern era,computers have become indispensable in the realm of medical decision‐***-ever,the common view of computers in the medical field typically extends only to applications that support doctors in diagnosing *** more tightly intertwine computers with the biomedical sciences,professionals are now more frequently utilising knowledge‐driven deep learning systems(KDLS)and their foundational technologies,especially in the domain of neuroimaging(NI).

关键词： learning computer doctor

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Guest Editorial:Special issue on trustworthy machine learning for behavioural and social computing

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CAAI Transactions on Intelligence Technology 2024年第3期9卷 541-543页

作者： Zhi-Hui Zhan Jianxin Li Xuyun Zhang Deepak Puthal Nankai university TianjinChina Deakin university BurwoodVictoriaAustralia Macquarie university SydneyNew South WalesAustralia Khalifa university Abu DhabiUAE

Machine learning has been extensively applied in behavioural and social computing,encompassing a spectrum of applications such as social network analysis,click stream analysis,recommendation of points of interest,and sentiment *** datasets pertinent to these applications are inherently linked to human behaviour and societal dynamics,posing a risk of disclosing personal or sensitive information if mishandled or subjected to attacks.

关键词： computing handle learning

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Granger causal representation learning for groups of time series

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Science China(Information Sciences) 2024年第5期67卷 56-68页

作者： Ruichu CAI Yunjin WU Xiaokai HUANG Wei CHEN Tom Z.J.FU Zhifeng HAO School of Computer Science Guangdong University of Technology Peng Cheng Laboratory College of Science Shantou University

Discovering causality from multivariate time series is an important but challenging *** existing methods focus on estimating the Granger causal structures among multivariate time series,while ignoring the prior knowledge of these time series, e.g., the group of the time series. Focusing on discovering the Granger causal structures among groups of time series, we propose a Granger causal representation learning method to solve this problem. First, we use the multiset canonical correlation analysis method to learn the Granger causal representation of each group of time series. Then, we model the Granger causal relationships among the learned Granger causal representations using a recurrent neural network with temporal information. Finally, we formulate the above two stages into one unified optimization problem, which is efficiently solved using the augmented Lagrangian method. We conduct extensive experiments on synthetic and real-world datasets to validate the correctness and effectiveness of the proposed method.

关键词： Granger causal discovery Granger causal representation learning time series data recurrent neural network multiset canonical correlation analysis

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