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Epigenetic modification in liver fibrosis:Promising therapeutic direction with significant challenges ahead

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Acta Pharmaceutica Sinica B 2024年第3期14卷 1009-1029页

作者： Runping Liu Yajing Li Qi Zheng Mingning Ding Huiping Zhou Xiaojiaoyang Li school of Chinese Materia Medica Beijing University of Chinese MedicineBeijing 102400China school of Life Sciences Beijing University of Chinese MedicineBeijing 102400China Department of Microbiology and Immunology Virginia Commonwealth UniversityRichmondVA 22460USA

Liver fibrosis,characterized by scar tissue formation,can ultimately result in liver ***’s a major cause of morbidity and mortality globally,often associated with chronic liver diseases like hepatitis or alcoholic and non-alcoholic fatty liver ***,current treatment options are limited,highlighting the urgent need for the development of new *** a reversible regulatory mechanism,epigenetic modification is implicated in many biological processes,including liver *** the epigenetic mechanisms involved in liver fibrosis could provide valuable insights into developing new treatments for chronic liver diseases,although the current evidence is still *** review provides a comprehensive summary of the regulatory mechanisms and critical targets of epigenetic modifications,including DNA methylation,histone modification,and RNA modification,in liver fibrotic *** potential cooperation of different epigenetic modifications in promoting fibrogenesis was also ***,available agonists or inhibitors regulating these epigenetic mechanisms and their potential application in preventing liver fibrosis were *** summary,elucidating specific druggable epigenetic targets and developing more selective and specific candidate medicines may represent a promising approach with bright prospects for the treatment of chronic liver diseases.

关键词： Liver fibrosis Epigenetics regulation DNA methylation Histone acetylation Histone methylation mRNA methylation Non-coding RNA Drug development

Psychiatric comorbidities in children with conduct disorder:a descriptive analysis of real-world data

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General Psychiatry 2024年第2期37卷 301-305页

作者： Tashalee R Brown Anita S Kablinger Robert Trestman Eraka Bath Cynthia Rogers Binx Yezhe Lin Kevin Young Xu University of California Los Angeles David Geffen school of medicine Los AngelesCaliforniaUSA Department of Psychiatry and Behavioral medicine Virginia Tech Carilion School of MedicineRoanokeVirginiaUSA Washington University in St Louis school of medicine St LouisMissouriUSA Clinical Research Center for Mental Disorders Chinese-German Institute of Mental HealthShanghai Pudong New Area Mental Health CenterSchool of MedicineTongji UniversityShanghaiChina Department of Psychosomatic medicine Shanghai East HospitalTongji University School of MedicineShanghaiChina Department of Psychiatry Washington University School of Medicine in Saint LouisSt LouisMissouriUSA

To the editor:Two recent advisories from the US surgeon general have underscored the unprecedented public health crisis in youth mental health and emphasised the need for“timely data collection and research to identify and respond to youth mental health needs more rapidly”.1 Increased rates of suicidal behaviour,depression and anxiety symptoms and substance use.

关键词： morbid Psychiat editor

Robotic-assisted versus laparoscopic repair of type II, III and IV hiatal hernias: A retrospective study comparing adverse outcomes

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Laparoscopic, Endoscopic and Robotic Surgery 2024年第1期7卷 11-15页

作者： Payton Kooiker Shane Monnett Stephanie Thompson Bryan Richmond West virginia school of Osteopathic medicine LewisburgWV24901United States Department of Surgery Charleston Area Medical CenterCharlestonWV25304United States

Objective:Robotic-assisted surgery(RAS)is continuing to expand in use in surgical specialties,including foregut *** available data on its use in large hiatal hernia(HH)repair are limited and *** study sought to determine whether there are significant differences in adverse outcomes following HH repair performed with a robotic approach vs.a laparoscopic *** study was limited to outcomes in patients with type II,III,and IV HHs,as these hernias are typically more challenging to ***:A retrospective analysis was performed from data obtained from TriNetX,a large deidentified clinical database,over a 10-year *** patients who underwent type II,III,or IV HH repair were included in the *** with robotic repair was compared to laparoscopic *** were propensity score matched for demographic information and *** ratios,risk differences(RDs)with 95%confidence intervals(CIs),and t test for each examined adverse outcome were used to estimate the effects of robotic repair *** ***:In total,20,016 patients who met the inclusion criteria were identified;1,515 patients utilized RAS,and 18,501 used *** to matching,there were significant differences in age,sex,comorbidity,and BMI between the two *** 1:1 propensity score matching,analyses of 1,514 well-matched patient pairs revealed no significant differences in demographics or *** who underwent robotic repair were more likely to experience major complications,including venous thromboembolism(RD:0.007,95%CI:0.003,0.011;p?0.002),critical care(RD:0.023,95%CI:0.007,0.039;p?0.004),urinary/renal complications(RD:0.027,95%CI:0.014,0.041;p<0.001),and respiratory complications(RD:0.046,95%CI:0.028,0.064;p<0.001).RAS was associated with a significantly shorter length of stay(32.4±27.5 h vs.35.7±50.1 h,p?0.031),although this finding indicated a reduction in the length of stay of less than 4 *** statist

关键词： Hiatal hernia Robotic-assisted surgery Laparoscopic surgery Adverse outcomes

Joint fuzzy background and adaptive foreground model for moving target detection

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Frontiers of Computer Science 2024年第2期18卷 93-106页

作者： Dawei ZHANG Peng WANG Yongfeng DONG Linhao LI Xin LI school of Artificial Intelligence Hebei University of TechnologyTianjin 300401China Lane Department of Computer Science and Electrical Engineering West Virginia UniversityMorgantownWV 26506-6109USA

Moving target detection is one of the most basic tasks in computer *** conventional wisdom,the problem is solved by iterative optimization under either Matrix Decomposition(MD)or Matrix Factorization(MF)*** utilizes foreground information to facilitate background *** uses noise-based weights to fine-tune the *** both noise and foreground information contribute to the recovery of the *** jointly exploit their advantages,inspired by two framework complementary characteristics,we propose to simultaneously exploit the advantages of these two optimizing approaches in a unified framework called Joint Matrix Decomposition and Factorization(JMDF).To improve background extraction,a fuzzy factorization is *** fuzzy membership of the background/foreground association is calculated during the factorization process to distinguish their contributions of both to background *** describe the spatio-temporal continuity of foreground more accurately,we propose to incorporate the first order temporal difference into the group sparsity constraint *** temporal constraint is adjusted *** foreground and the background are jointly estimated through an effective alternate optimization process,and the noise can be modeled with the specific probability *** experimental results of vast real videos illustrate the effectiveness of our *** with the current state-of-the-art technology,our method can usually form the clearer background and extract the more accurate ***-noise experiments show the noise robustness of our method.

关键词： matrixdecomposition matrix factorization generalized sparsity noise modeling

Physical activity with or without dietary intervention for the prevention of cardiovascular diseases

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Journal of Sport and Health Science 2024年第6期13卷 753-755页

作者： Carl J.Lavie Salvatore Carbone Leandro Slipczuk The John Ochsner Heart and Vascular Institute Ochsner Clinical Schoolthe University of Queensland School of MedicineNew OrleansLA 70121USA Department of Kinesiology and Health Sciences College of Humanities and SciencesVirginia Commonwealth UniversityRichmondVA 23284USA Montefiore Health System/Albert Einstein College of medicine BronxNY 10461USA

We and others have published extensively on the benefits of physical activity(PA),exercise training,and cardiorespiratory fitness(CRF)to decrease the prevalence of cardiovascular diseases(CVDs)and CVD and all-cause morbidity and mortality.^(1-5)Both PA and CRF are important;however,CRF,which is mostly obtained through PA,although there is a genetic component,seems to be even more important than PA for predicting prognosis.^(1,4-6)Certainly,the wealth of data from across the world has indicated that increasing PA to enhance CRF while mitigating sedentary behavior would go a long way to lessen the world-wide obesity epidemic and reduce CVD and all-cause mortality.

关键词： mortality prevention diseases

A Deep Reinforcement Learning-Based Technique for Optimal Power Allocation in Multiple Access Communications

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Intelligent Automation & Soft Computing 2024年第1期39卷 93-108页

作者： Sepehr Soltani Ehsan Ghafourian Reza Salehi Diego Martín Milad Vahidi Department of Industrial Engineering College of EngineeringUniversity of HoustonHoustonTX77204USA Department of Computer Science Iowa State UniversityAmesIowaUSA ETSI de Telecomunicación Universidad Politécnica de MadridMadridSpain Faculty of school of Plant and Environmental Sciences Virginia Polytechnic Institute and StateUniversityBlacksburgVirginia24060USA

Formany years,researchers have explored power allocation(PA)algorithms driven bymodels in wireless networks where multiple-user communications with interference are ***,data-driven machine learning methods have become quite popular in analyzing wireless communication systems,which among them deep reinforcement learning(DRL)has a significant role in solving optimization issues under certain *** this purpose,in this paper,we investigate the PA problem in a k-user multiple access channels(MAC),where k transmitters(e.g.,mobile users)aim to send an independent message to a common receiver(e.g.,base station)through wireless *** this end,we first train the deep Q network(DQN)with a deep Q learning(DQL)algorithm over the simulation environment,utilizing offline ***,the DQN will be used with the real data in the online training method for the PA issue by maximizing the sumrate subjected to the source ***,the simulation results indicate that our proposedDQNmethod provides better performance in terms of the sumrate compared with the available DQL training approaches such as fractional programming(FP)and weighted minimum mean squared error(WMMSE).Additionally,by considering different user densities,we show that our proposed DQN outperforms benchmark algorithms,thereby,a good generalization ability is verified over wireless multi-user communication systems.

关键词： Deep reinforcement learning deep Q learning multiple access channel power allocation

Direct 4D printing of functionally graded hydrogel networks for biodegradable,untethered,and multimorphic soft robots

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International Journal of Extreme Manufacturing 2024年第2期6卷 407-416页

作者： Soo Young Cho Dong Hae Ho Sae Byeok Jo Jeong Ho Cho Department of Chemical and Biomolecular Engineering Yonsei UniversitySeoul 03722Republic of Korea Department of Mechanical Engineering Virginia TechBlacksburgVA 24061United States of America school of Chemical Engineering Sungkyunkwan UniversitySuwon 16419Republic of Korea SKKU Institute of Energy Science and Technology(SIEST) Sungkyunkwan UniversitySuwon 16419Republic of Korea

Recent advances in functionally graded additive manufacturing(FGAM)technology have enabled the seamless hybridization of multiple functionalities in a single *** robotics can become one of the largest beneficiaries of these advances,through the design of a facile four-dimensional(4D)FGAM process that can grant an intelligent stimuli-responsive mechanical functionality to the printed ***,we present a simple binder jetting approach for the 4D printing of functionally graded porous multi-materials(FGMM)by introducing rationally designed graded multiphase feeder *** graded cross-linking agents gradually form stable porous network structures within aqueous polymer particles,enabling programmable hygroscopic deformation without complex mechanical ***,a systematic bed design incorporating additional functional agents enables a multi-stimuli-responsive and untethered soft robot with stark stimulus *** biodegradability of the proposed 4D-printed soft robot further ensures the sustainability of our approach,with immediate degradation rates of 96.6%within 72 *** proposed 4D printing concept for FGMMs can create new opportunities for intelligent and sustainable additive manufacturing in soft robotics.

关键词： intelligent and sustainable additive manufacturing multi-material four-dimensional printing untethered soft robot multi-stimuli-responsive soft robot biodegradable soft robotics

护理专业国际学生短期访学教育项目的设计与实施

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International Journal of Nursing Sciences 2024年第1期11卷 83-90页

作者： Ubolrat Piamjariyakul Saima Shafique Dana L.Friend Kimberly A.Adams Wiyakarn Sanghuachang Trisha M.Petitte Stephanie Young school of Nursing West Virginia UniversityMorgantownWVUSA Boromarajonani College of Nursing Saraburi SaraburiThailand

目的旨在描述制定及评估一项短期留学生研究和教育项目。方法研究分为项目制定与实施及评价2部分。根据1名国际学生的短期访学需求,护理学院的全球护理项目协调员和首席导师共同确定项目基本内容和团队成员。该项目学习活动考虑了该国... 详细信息

目的旨在描述制定及评估一项短期留学生研究和教育项目。方法研究分为项目制定与实施及评价2部分。根据1名国际学生的短期访学需求,护理学院的全球护理项目协调员和首席导师共同确定项目基本内容和团队成员。该项目学习活动考虑了该国际学生对老年人和居家临终关怀的兴趣,包括4项内容:.开展研究工作,参与教学活动,参与临床实践活动,以及特殊活动和专业发展培训课程。在为期6个月的访学结束时,对参与此次教学活动的教师、研究生及留学生进行访谈和简短问卷调查。结果通过访谈了解到3个方面的内容:通过参与该项目中获得的经验(增强了教育和研究的多样性,获得了新的全球医疗保健知识,对文化意识的自我反思和促进);项目实施的障碍和挑战(签证申请过程,英语语言障碍,缺乏公共交通设施,时间安排冲突);克服这些障碍和挑战的策略(在课程中增加文化多样性信息;与其他同学一起学习英语;使用不同的沟通技巧;在签证申请过程中与大学全球事务办公室持续合作;提供互动体验)。所有项目参与者都对该项目表示非常满意(4.67±0.50),认为对他们在科研、教学和临床实践方面的护理技能有很大影响(4.67±0.50)。结论此次项目的参与者均获得了相关经验,可用于今后的教学指导活动。国际护理专业学生需要得到帮助才能更好地适应访学环境,教师必须具有文化敏感性,了解学生的学习需求,并倡导营造适合学生学习的环境。

关键词：评价国际学生护理教育课程

Automated,economical,and environmentally-friendly asphalt mix design based on machine learning and multi-objective grey wolf optimization

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Journal of Traffic and Transportation Engineering(English Edition) 2024年第3期11卷 381-405页

作者： Jian Liu Fangyu Liu Linbing Wang Department of Civil and Environmental Engineering Virginia Polytechnic Institute and State UniversityBlacksburgVA 24061USA school of Environmental CivilAgricultural and Mechanical EngineeringUniversity of GeorgiaAthensGA 30602USA Illinois Center for Transportation Department of Civil and Environmental EngineeringUniversity of Illinois Urbana-ChampaignUrbanaIL 61801USA

The increasing impact of the greenhouse effect on ecosystems is prompting transportation agencies to seek methods for reducing CO_(2)emissions during pavement construction and ***,the laboratory mix design process,which involves selecting aggregate gradation and binder content,is time-consuming and *** accelerate the traditional mix design procedure,this study presented a mix design procedure that can automatically determine gradation and binder content based on machine learning(ML)and a meta-heuristic ***,ML approaches were employed to model the relationship between volumetric properties(mixture bulk specific gravity(Gmb)and air void(VV))and both mixture component properties and mixture proportion,based on a dataset collected from literature with 660 mixture *** with the prediction of ML models and the modified multi-objective grey wolf optimization(MOGWO)algorithm,an automatic asphalt mix design was proposed to pursue three goals,including VV,cost,and CO_(2)*** results indicated that least squares support vector regression(LSSVR)and e Xtreme gradient boosting(XGBoost)achieved the highest prediction accuracies(correlation coefficient:0.92 for VV and 0.96 for Gmb).The MOGWO algorithm successfully found the 26 optimal mix designs for the case of VV *** ***_(2)*** to the traditional laboratory design,the optimal mixture with VV of4%achieves a cost saving of 2.46%and a reduction of 4.03%in carbon *** volumetric properties of the mixtures output by the approach also align closely with values measured in a laboratory.

关键词： Asphalt mix design Machine learning MOGWO CO_(2)emission Volumetric properties