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The Effectiveness of Psychotherapy on Posttraumatic Stress Disorder in Soldier:A Systematic Review

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International Journal of Mental Health Promotion 2024年第7期26卷 499-516页

作者： Wencen Lan Bin Wang Gai Li Jianming Liu School of Physical Education Central China Normal UniversityWuhan430079China

The objective of this systematic review is to examine the effectiveness of psychotherapy in treating Post-Traumatic Stress Disorder(PTSD)in military ***,Web of Science,The Cochrane Library,EBSCO and CNKI databases were searched from 1 January,2000 to November 2022 for Randomized Controlled Trials(RCTs)on psychotherapeutic interventions for military *** physical Therapy Evidence Database(PEDro)scale was used to evaluate the quality of the *** researchers conducted literature screening,data extraction,and risk bias assessment in accordance with inclusion and exclusion ***,49 RCTs were included,involving a total of 5073 veterans,retired and active military from four *** average score on the PEDro scale was *** primary psychotherapeutic modalities for military PTSD intervention include Cognitive-Behavioral Therapy,Exposure Therapy,Mindfulness interventions,psychotherapy based on new technological tools,and other emerging psychotherapeutic *** review highlights that Cognitive Processing Therapy(CPT)and Prolonged Exposure Therapy(PET)stand out as the primary psychotherapeutic modalities for treating PTSD in military *** cases where CPT and PET yield limited benefits,Mindfulness interventions emerge as effective ***,considering the diverse needs and high dropout rates in the military,population,the review suggests using web-based,computer,and virtual reality technology tools as supplements to first-line treatments(CPT/PET)to enhance overall intervention *** the advancement of future psychotherapeutic initiatives,there is a pronounced emphasis on prioritizing proven first-line interventions,CPT and PET while also recognizing the potential of mindfulness-based interventions as credible *** tandem with this,the active integration of technological tools is advocated to amplify the therapeutic impact of conventional psychological treatment modalities.

关键词： Soldiers psychotherapy cognitive behavior therapy exposure therapy post-traumatic stress disorder mindfulness intervention

Privacy-Preserving Healthcare and Medical Data Collaboration Service System Based on Blockchain and Federated Learning

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Computers, Materials & Continua 2024年第8期80卷 2897-2915页

作者： Fang Hu Siyi Qiu Xiaolian Yang ChaoleiWu Miguel Baptista Nunes Hui Chen College of Information Engineering Hubei University of Chinese MedicineWuhan430065China College of Information Engineering Zhongnan University of Economics and LawWuhan430073China School of Advanced Technologies Xi’an Jiaotong-Liverpool UniversitySuzhou215400China School of Information Management Central China Normal UniversityWuhan430079China

As the volume of healthcare and medical data increases from diverse sources,real-world scenarios involving data sharing and collaboration have certain challenges,including the risk of privacy leakage,difficulty in data fusion,low reliability of data storage,low effectiveness of data sharing,*** guarantee the service quality of data collaboration,this paper presents a privacy-preserving Healthcare and Medical Data Collaboration Service System combining Blockchain with Federated Learning,termed *** system is composed of three layers:Data extraction and storage,data management,and data *** on healthcare and medical data,a healthcare and medical blockchain is constructed to realize data storage,transfer,processing,and access with security,real-time,reliability,and *** improved master node selection consensus mechanism is presented to detect and prevent dishonest behavior,ensuring the overall reliability and trustworthiness of the collaborative model training ***,healthcare and medical data collaboration services in real-world scenarios have been discussed and *** further validate the performance of FL-HMChain,a Convolutional Neural Network-based Federated Learning(FL-CNN-HMChain)model is investigated for medical image *** model achieves better performance compared to the baseline Convolutional Neural Network(CNN),having an average improvement of 4.7%on Area Under Curve(AUC)and 7%on Accuracy(ACC),***,the probability of privacy leakage can be effectively reduced by the blockchain-based parameter transfer mechanism in federated learning between local and global models.

关键词： Blockchain technique federated learning healthcare and medical data collaboration service privacy preservation

Investigating the elliptic anisotropy of identified particles in p-Pb collisions with a multi-phase transport model

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Nuclear Science and Techniques 2024年第2期35卷 160-169页

作者： Si-Yu Tang Liang Zheng Xiao-Ming Zhang Ren-Zhuo Wan School of Mathematical and Physical Sciences Wuhan Textile UniversityWuhan 430200China School of Mathematics and Physics China University of Geosciences(Wuhan)Wuhan 430074China Key Laboratory of Quark and Lepton Physics(MOE)and Institute of Particle Physics Central China Normal UniversityWuhan 430079China Hubei Key Laboratory of Digital Textile Equipment Wuhan Textile UniversityWuhan 430200China School of Electronic and Electrical Engineering Wuhan Textile UniversityWuhan 430200China

The elliptic azimuthal anisotropy coefficient(v_(2))of the identified particles at midrapidity(|η|<0.8)was investigated in p-Pb collisions at√s_(NN)=5.02 TeV using a multi-phase transport model(AMPT).The calculatio... 详细信息

The elliptic azimuthal anisotropy coefficient(v_(2))of the identified particles at midrapidity(|η|centrality selections,whereas partonic scattering dominates in generating the elliptic anisotropy of the final *** study provides further insight into the origin of collective-like behavior in small collision systems and has referential value for future measurements of azimuthal anisotropy.

关键词： Azimuthal anisotropy Small collision systems Transport model

Probing valence quark width of the proton in deeply virtual Compton scattering at high energies

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Chinese Physics C 2024年第5期48卷 235-243页

作者：向文昌曹德文周代翠 Physics Division Guangzhou Maritime UniversityGuangzhou 510725China Key Laboratory of Quark and Lepton Physics(MOE) and Institute of Particle PhysicsCentral China Normal UniversityWuhan 430079China

We use the refined hot spot model to study the valence quark shape of the proton with the deeply virtual Compton scattering at high energies in the color glass condensate *** investigate the individual valence quark shape,a novel treatment of the valence quark width is *** calculate the cross-sections for coherent and incoherent deeply virtual Compton scattering using,for the first time,different widths(Bu and Bd)for the profile density distributions of the up and down quarks instead of using the same width as in the *** find that the cross-sections calculated with Bu≥Bd at each collision energy are consistent with each other,which is in agreement with theoretical expectations,whereas those computed with Bu

关键词： gluon saturation physics color glass condensate proton shape fluctuations

Variational Data Assimilation Method Using Parallel Dual Populations Particle Swarm Optimization Algorithm

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wuhan university Journal of Natural Sciences 2024年第1期29卷 59-66页

作者： WU Zhongjian LI Junyan Detroit Green Institute of Technology Hubei University of TechnologyWuhan 430068HubeiChina School of Information Management Central China Normal UniversityWuhan 430079HubeiChina

In recent years,numerical weather forecasting has been increasingly *** data assimilation furnishes precise initial values for numerical forecasting models,constituting an inherently nonlinear optimization *** enormity of the dataset under consideration gives rise to substantial computational burdens,complex modeling,and high hardware *** paper employs the Dual-Population Particle Swarm Optimization(DPSO)algorithm in variational data assimilation to enhance assimilation *** harnessing parallel computing principles,the paper introduces the Parallel Dual-Population Particle Swarm Optimization(PDPSO)Algorithm to reduce the algorithm processing *** were carried out using partial differential equations,and comparisons in terms of time and accuracy were made against DPSO,the Dynamic Weight Particle Swarm Algorithm(PSOCIWAC),and the TimeVarying Double Compression Factor Particle Swarm Algorithm(PSOTVCF).Experimental results indicate that the proposed PDPSO outperforms PSOCIWAC and PSOTVCF in convergence accuracy and is comparable to *** processing time,PDPSO is 40%faster than PSOCIWAC and PSOTVCF and 70%faster than DPSO.

关键词： parallel algorithm variational data assimilation dual-population particle swarm optimization algorithm diffusion mechanism

Evaluation of soil erosion vulnerability in Hubei Province of china using RUSLE model and combination weighting method

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Journal of Mountain Science 2024年第10期21卷 3318-3336页

作者： YANG Yanpan TIAN Pei JIA Tinghui WANG Fei YANG Yang HUANG Jianwu Key Laboratory for Geographical Process Analysis&Simulation of Hubei Province Central China Normal UniversityWuhan 430079China College of Urban and Environmental Sciences Central China Normal UniversityWuhan 430079China department of Civil and Environmental Engineering University of AlbertaEdmontonABT6G 1H9Canada

Soil erosion has been recognized as a critical environmental issue *** previous studies have primarily focused on watershed-scale soil erosion vulnerability from a natural factor perspective,there is a notable gap in understanding the intricate interplay between natural and socio-economic factors,especially in the context of spatial heterogeneity and nonlinear impacts of human-land *** address this,our study evaluates the soil erosion vulnerability at a provincial scale,taking Hubei Province as a case study to explore the combined effects of natural and socio-economic *** developed an evaluation index system based on 15 indicators of soil erosion vulnerability:exposure,sensitivity,and *** addition,the combination weighting method was applied to determine index weights,and the spatial interaction was analyzed using spatial autocorrelation,geographical temporally weighted regression and geographical *** results showed an overall decreasing soil erosion intensity in Hubei Province during 2000 and *** soil erosion vulnerability increased before 2000 and *** areas with high soil erosion vulnerability were mainly confined in the central and southern regions of Hubei Province(Xiantao,Tianmen,Qianjiang and Ezhou)with obvious spatial aggregation that intensified over *** factors(habitat quality index)had negative impacts on soil erosion vulnerability,whereas socio-economic factors(population density)showed substantial spatial variability in their *** was a positive correlation between soil erosion vulnerability and erosion intensity,with the correlation coefficients ranging from-0.41 and *** increase of slope was found to enhance the positive correlation between soil erosion vulnerability and intensity.

关键词： Soil erosion vulnerability RUSLE model Combination weighting method Driving factors Spatial heterogeneity

Spectral observation of symmetry-protected selection rules for dynamical high-dimensional parity in alignment magnetic resonance

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Science china(Physics,Mechanics & Astronomy) 2024年第10期67卷 1-11页

作者： Xu-Xing Geng Kai Jin Lu Zhou Wang-Wang Tang Guoqing Yang Shangqing Liang Shao-Ping Wu Guang-Ming Huang Gao-Xiang Li department of Physics Huazhong Normal UniversityWuhan 430079China College of Electronics and Information Hangzhou Dianzi UniversityHangzhou 310018China State Key Laboratory of Precision Spectroscopy School of Physics and Electronic ScienceEast China Normal UniversityShanghai 200241China

Multidimensional Floquet-driven alignment systems with dynamical symmetry present various exotic phenomena and ***,there are challenges in directly characterizing large-spin dynamical symmetry from ***,we first observe the symmetry-protected selection rules of dynamical high-dimensional parity in a large-spin(F=4)*** theoretically construct a Floquet-driven alignment system that can be used to reveal high-dimensional spatiotemporal *** the experiment,the system is implemented in Cs atomic gas subjected to two-dimensional Floquet-modulated magnetic resonance *** developing Floquet detection protocols of alignment double-sided spectra,we directly verify symmetry-protected selection rules of dynamical high-dimensional parity for large-spin *** work advances the exploration of dynamical symmetry to large spins,and unravels a universal Floquet scheme for the investigation of symmetry-protected selection rules.

关键词： dynamical high-dimensional symmetry symmetry-protected selection rules large-spin alignment magnetic resonance,Floquet two-mode detection

MATHEMATICAL MODELING AND BIFURCATION ANALYSIS FOR A BIOLOGICAL MECHANISM OF CANCER DRUG RESISTANCE

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Acta Mathematica Scientia 2024年第3期44卷 1165-1188页

作者：包康博梁桂珍田天海张兴安 School of Information Engineering and Artificial Intelligence Lanzhou University of Finance and EconomicsLanzhou730020China School of Mathematics and Statistics Central China Normal UniversityWuhan430079China School of Mathematics and Information Science Xinxiang UniversityXinxiang453003China School of Mathematical Sciences Monash UniversityMelbourneVIC3800Australia

Drug resistance is one of the most intractable issues in targeted therapy for cancer *** has also been demonstrated to be related to cancer heterogeneity,which promotes the emergence of treatment-refractory cancer cell *** on how cancer cells develop resistance during the encounter with targeted drugs and the immune system,we propose a mathematical model for studying the dynamics of drug resistance in a conjoint heterogeneous tumor-immune *** analyze the local geometric properties of the equilibria of the *** simulations show that the selectively targeted removal of sensitive cancer cells may cause the initially heterogeneous population to become a more resistant ***,the decline of immune recruitment is a stronger determinant of cancer escape from immune surveillance or targeted therapy than the decay in immune predation *** analysis of model parameters provides insight into the roles of the immune system combined with targeted therapy in determining treatment outcomes.

关键词： mathematical model drug resistance cancer heterogeneity immune system targeted therapy

Challenges and strategies of chlorine inhibition in anode systems for seawater electrolysis

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Science china Chemistry 2024年第10期67卷 3198-3208页

作者： Chuqiang Huang Zhouzhou Wang Shaojun Cheng Yunpeng Liu Binglu Deng Shaoyi Xu Luo Yu Ying Yu School of Materials Science and Hydrogen Energy Foshan UniversityFoshan 528000China Institute of Nanoscience and Nanotechnology College of Physical Science and TechnologyCentral China Normal UniversityWuhan 430079China department of Physics and Texas Center for Superconductivity at the university of Houston(TcSUH) University of HoustonHoustonTX 77204USA Laboratory of Solar Fuel Faculty of Materials Science and ChemistryChina University of GeosciencesWuhan 430074China

Seawater electrolysis for green hydrogen production is one of the key technologies for achieving carbon ***,in anode systems,the chloride ions(Cl^(-))in seawater will trigger an undesired chlorine evolution reaction(CER)that competes with an oxygen evolution reaction(OER),resulting in inferior OER activity and ***,the corrosive Cl^(-)and its derivative products will corrode anodes during seawater electrolysis,leading to poor ***,great efforts have been devoted to developing efficient strategies for chlorine inhibition to improve the activity,selectivity,and stability of anode ***,focusing on chlorine inhibition,we present a mini review to comprehensively and concisely summarize the recent progress in anode systems for boosting seawater *** particular,two strategies of physical and chemical regulation to inhibit Cl^(-)are summarized in some representative ***,some challenges and future opportunities in anode systems for seawater electrolysis are *** mini review aims to shed light on designing highly efficient anode materials for seawater electrolysis.

关键词： seawater electrolysis anode systems chlorine inhibition physical regulation chemical regulation