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Automatic recognition of depression based on audio and video:A review

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World Journal of Psychiatry 2024年第2期14卷 225-233页

作者： meng-meng Han Xing-yun Li Xin-Yu Yi yun-Shao Zheng Wei-Li Xia Ya-Fei liu Qing-Xiang Wang Shandong Mental Health Center Shandong UniversityJinan 250014Shandong ProvinceChina Key Laboratory of Computing Power Network and Information Security Ministry of EducationShandong Computer Science Center(National Supercomputer Center in Jinan)Qilu University of Technology(Shandong Academy of Sciences)Jinan 250353Shandong ProvinceChina Shandong Engineering Research Center of Big Data Applied Technology Faculty of Computer Science and TechnologyQilu University of Technology(Shandong Academy of Sciences)Jinan 250353Shandong ProvinceChina Shandong Provincial Key Laboratory of Computer Networks Shandong Fundamental Research Center for Computer ScienceJinan 250353Shandong ProvinceChina Department of Ward Two Shandong Mental Health CenterShandong UniversityJinan 250014Shandong ProvinceChina

Depression is a common mental health disorder.With current depression detection methods,specialized physicians often engage in conversations and physiological examinations based on standardized scales as auxiliary measures for depression assessment.Non-biological markers-typically classified as verbal or non-verbal and deemed crucial evaluation criteria for depression-have not been effectively utilized.Specialized physicians usually require extensive training and experience to capture changes in these features.Advancements in deep learning technology have provided technical support for capturing non-biological markers.Several researchers have proposed automatic depression estimation(ADE)systems based on sounds and videos to assist physicians in capturing these features and conducting depression screening.This article summarizes commonly used public datasets and recent research on audio-and video-based ADE based on three perspectives:Datasets,deficiencies in existing research,and future development directions.

关键词： Depression recognition Deep learning Automatic depression estimation System Audio processing Image processing Feature fusion Future development

Multidisciplinary comprehensive treatment of massive hepatocellular carcinoma with hemorrhage:A case report and review of literature

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World Journal of Gastrointestinal Oncology 2024年第5期16卷 2225-2232页

作者： Xian-Shuai Kou Fan-Fan Li yun meng Jian-Ming Zhao Sheng-Fen liu Lan Zhang The First Clinical Medical College Gansu University of Chinese MedicineLanzhou 730000Gansu ProvinceChina Department of Thoracic Surgery The First Hospital of Lanzhou UniversityLanzhou 730000Gansu ProvinceChina Department of Surgery Gansu Provincial HospitalLanzhou 730000Gansu ProvinceChina Department of Orthopedics Gansu Provincial HospitalLanzhou 730000Gansu ProvinceChina

BACKGROUND Hepatocellular carcinoma(HCC),a major contributor to cancer-related deaths,is particularly prevalent in Asia,largely due to hepatitis B virus infection.Its prognosis is generally poor.This case report contributes to the medical literature by detailing a unique approach in treating a large HCC through multidisciplinary collaboration,particularly in patients with massive HCC complicated by ruptured bleeding,a scenario not extensively documented previously.CASE SUMMARY The patient presented with large HCC complicated by intratumoral bleeding.Treatment involved a multidisciplinary approach,providing individualized care.The strategy included drug-eluting bead transarterial chemoembolization,sorafenib-targeted therapy,laparoscopic partial hepatectomy,and standardized sintilimab monoclonal antibody therapy.Six months after treatment,the patient achieved complete radiological remission,with significant symptom relief.Imaging studies showed no lesions or recurrence,and clinical assessments confirmed complete remission.This report is notable as possibly the first docu-mented case of successfully treating such complex HCC conditions through integrated multidisciplinary efforts,offering new insights and a reference for future similar cases.CONCLUSION This study demonstrated effective multidisciplinary treatment for massive HCC with intratumoral bleeding,providing insights for future similar cases.

关键词： Hepatocellular carcinoma Transarterial chemoembolization Sintilimab Sorafenib Translational therapy Multidisciplinary team Case report

A Dynamic Covalent Bonding-based Nanoplatform for Intracellular Co-Delivery of Protein Drugs and Chemotherapeutics with Enhanced Anti-Cancer Effect

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Chinese Journal of Polymer Science 2024年第5期42卷 559-569,I0005页

作者： Sai-Nan liu Jia-Hui meng Li-yun Cui Hua Chen Lin-Qi Shi Ru-Jiang Ma Key Laboratory of Functional Polymer Materials of Ministry of Education Institute of Polymer ChemistryTianjin Key Laboratory of Functional Polymer MaterialsState Key Laboratory of Medicinal Chemical BiologyFrontiers Science Center for New Organic MatterCollege of ChemistryNankai UniversityTianjin300071China Haihe Laboratory of Sustainable Chemical Transformations Tianjin300192China

Efficient intracellular delivery of protein drugs is critical for protein therapy.The combination of protein drugs with chemotherapeutics represents a promising strategy in enhancing anti-cancer effect.However,co-delivery systems for efficient delivery of these two kinds of drugs are still lacking because of their different properties.Herein,we show a well-designed delivery system based on dynamic covalent bond for efficient intracellular co-delivery of ribonuclease A(RNase A)and doxorubicin(DOX).Two polymers,PEG-b-P(Asp-co-AspDA)and PAE-b-P(Asp-co-AspPBA),and two 2-acetylphenylboronic acid(2-APBA)-functionalized drugs,2-APBA-RNase A and 2-APBA-DOX,self-assemble into mixed-shell nanoparticles(RNase A/DOX@MNPs)via dynamic phenylboronic acid(PBA)-catechol bond between PBA and dopamine(DA)moieties.The PBA-catechol bond endows the nanoparticles with high stability and excellent stimulus-responsive drug release behavior.Under the slight acidic environment at tumor tissue,RNase A/DOX@MNPs are positively charged,promoting their endocytosis.Upon cellular uptake into endosome,further protonation of PAE chains leads to the rupture of endosomes because of the proton sponge effect and the cleavage of PBA-catechol bond promotes the release of two drugs.In cytoplasm,the high level of GSH removed the modification of 2-APBA on drugs.The restored RNase A and DOX show a synergistic and enhanced antic-cancer effect.This system may be a promising platform for intracellular co-delivery of protein drugs and chemotherapeutics.

关键词： Drug co-delivery Combination therapy Dynamic covalent bond

Endogenous Candida albicans endophthalmitis in a patient with chronic renal failure on hemodialysis

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International Journal of Ophthalmology(English edition) 2024年第5期17卷 979-981页

作者： meng-Ya liu Zhi-Fan Chen Hao-Sheng liu Qian-Li meng Department of Ophthalmology Guangdong Provincial People’s Hospital(Guangdong Academy of Medical Sciences)Southern Medical UniversityGuangzhou 510080Guangdong ProvinceChina The Fourth Affiliated Hospital of Guangzhou Medical University Guangzhou 511400Guangdong ProvinceChina

Dear Editor,We report a rare case of endogenous endophthalmitis caused by Candida albicans in a patient with chronic renal failure concomitant hemodialysis.A 71-year-old man with a history of hypertension and 2-year chronic renal failure on hemodialysis via a native arteriovenous fistula(AVF)was presented to the local hospital due to fever 3wk ago.No pathogens were detected through blood culture on admission,and his fever gradually subsided with intravenous ceftriaxone sodium.After a week of fever,he experienced progressive blurred vision in both eyes,accompanied by pain and headaches.Subsequent magnetic resonance imaging(MRI)of the brain revealed sinusitis.He had not undergone any previous eye surgeries or trauma.

关键词： hemodialysis albicans fever

Nuclear volume effects in kinetic isotope fractionation:A case study of mercury oxidation by chlorine species

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Acta Geochimica 2024年第3期43卷 411-423页

作者： Chenlu Yang Yining Zhang yun liu Research Center for Planetary Science College of Earth and Planetary SciencesChengdu University of TechnologyChengdu 610059China State Key Laboratory of Ore Deposit Geochemistry Institute of GeochemistryChinese Academy of SciencesGuiyang 550081China

It is well-known that the equilibrium isotope fractionation of mercury(Hg)includes classical massdependent fractionations(MDFs)and nuclear volume effect(NVE)induced mass-independent fractionations(MIFs).However,the effect of the NVE on these kinetic processes is not known.The total fractionations(MDFs+NVEinduced MIFs)of several representative Hg-incorporated substances were selected and calculated with ab initio calculations in this work for both equilibrium and kinetic processes.NVE-induced MIFs were calculated with scaled contact electron densities at the nucleus through systematic evaluations of their accuracy and errors using the Gaussian09 and DIRAC19 packages(named the electron density scaling method).Additionally,the NVE-induced kinetic isotope effect(KIE)of Hg isotopes are also calculated with this method for several representative Hg oxidation reactions by chlorine species.Total KIEs for 202 Hg/^(198)Hg ranging from−2.27‰to 0.96‰are obtained.Three anomalous^(202)Hg-enriched KIEs(δ^(202)Hg/^(198)Hg=0.83‰,0.94‰,and 0.96‰,)caused by the NVE are observed,which are quite different from the classical view(i.e.,light isotopes react faster than the heavy ones).The electron density scaling method we developed in this study can provide an easier way to calculate the NVE-induced KIEs for heavy isotopes and serve to better understand the fractionation mechanisms of mercury isotope systems.

关键词： Nuclear volume effect Kinetic fractionation Hg isotopes Ab initio calculations

Recent breakthrough in AI-driven materials science:tech giants introduce groundbreaking models

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Materials Futures

Materials Futures 2024年第2期3卷 170-174页

作者： Miao liu Sheng meng Institute of Physics Chinese Academy of SciencesBeijing 100190People’s Republic of China Songshan Lake Materials Laboratory DongguanGuangdong 523808People’s Republic of China

A close look at Google’s GNoME inorganic materials dataset(Merchant et al 2023 Nature 62480–85),and 11 things you would like to know.

关键词： AI GNoME dataset AI+materials science

MRm-DLDet:a memory-resident malware detection framework based on memory forensics and deep neural network

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Cybersecurity 2024年第1期7卷 88-109页

作者： Jiaxi liu yun Feng Xinyu liu Jianjun Zhao Qixu liu Institute of Information Engineering Chinese Academy of SciencesBeijing 100085China School of Cyber Security University of Chinese Academy of SciencesBeijing 100049China

Cyber attackers have constantly updated their attack techniques to evade antivirus software detection in recent years.One popular evasion method is to execute malicious code and perform malicious actions only in memory.Mali-cious programs that use this attack method are called memory-resident malware,with excellent evasion capability,and have posed huge threats to cyber security.Traditional static and dynamic methods are not effective in detect-ing memory-resident malware.In addition,existing memory forensics detection solutions perform unsatisfactorily in detection rate and depend on massive expert knowledge in memory analysis.This paper proposes MRm-DLDet,a state-of-the-art memory-resident malware detection framework,to overcome these drawbacks.MRm-DLDet first builds a virtual machine environment and captures memory dumps,then creatively processes the memory dumps into RGB images using a pre-processing technique that combines deduplication and ultra-high resolution image cropping,followed by our neural network MRmNet in MRm-DLDet to fully extract high-dimensional features from memory dump files and detect *** receives the labeled sub-images of the cropped high-resolution RGB images as input of ResNet-18,which extracts the features of the sub-images.Then trains a network of gated recurrent units with an attention mechanism.Finally,it determines whether a program is memory-resident malware based on the detection results of each sub-image through a specially designed voting layer.We created a high-quality dataset consisting of 2,060 benign and memory-resident programs.In other words,the dataset contains 1,287,500 labeled sub-images cut from the MRm-DLDet transformed ultra-high resolution RGB images.We implement MRm-DLDet for Windows 10,and it performs better than the latest methods,with a detection accuracy of up to 98.34%.Moreover,we measured the effects of mimicry and adversarial attacks on MRm-DLDet,and the experimental results demonstrated the robustness of MRm-DLDet.

关键词： Memory-resident malware Memory forensics Malware detection Deep learning Ultra-high resolution image

Ischemia-reperfusion injury:molecular mechanisms and therapeutic targets

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Signal Transduction and Targeted Therapy 2024年第2期9卷 558-596页

作者： meng Zhang Qian liu Hui meng Hongxia Duan Xin liu Jian Wu Fei Gao Shijun Wang Rubin Tan Jinxiang Yuan The Collaborative Innovation Center Jining Medical UniversityJiningShandong 272067China Clinical Medical College Jining Medical UniversityJiningShandong 272067China Second Clinical Medical College Jining Medical UniversityJiningShandong 272067China Shanghai Institute of Cardiovascular Diseases Zhongshan Hospital and Institutes of Biomedical SciencesFudan UniversityShanghaiChina Institute of Zoology Chinese Academy of SciencesBeijingChina Department of Physiology Basic medical schoolXuzhou Medical UniversityXuzhou 221004China

Ischemia-reperfusion(I/R)injury paradoxically occurs during reperfusion following ischemia,exacerbating the initial tissue damage.The limited understanding of the intricate mechanisms underlying I/R injury hinders the development of effective therapeutic interventions.The Wnt signaling pathway exhibits extensive crosstalk with various other pathways,forming a network system of signaling pathways involved in I/R injury.This review article elucidates the underlying mechanisms involved in Wnt signaling,as well as the complex interplay between Wnt and other pathways,including Notch,phosphatidylinositol 3-kinase/protein kinase B,transforming growth factor-β,nuclear factor kappa,bone morphogenetic protein,N-methyl-D-aspartic acid receptor-Ca2+-Activin A,Hippo-Yes-associated protein,toll-like receptor 4/toll-interleukine-1 receptor domain-containing adapter-inducing interferon-β,and hepatocyte growth factor/mesenchymal-epithelial transition factor.In particular,we delve into their respective contributions to key pathological processes,including apoptosis,the inflammatory response,oxidative stress,extracellular matrix remodeling,angiogenesis,cell hypertrophy,fibrosis,ferroptosis,neurogenesis,and blood-brain barrier damage during I/R injury.Our comprehensive analysis of the mechanisms involved in Wnt signaling during I/R reveals that activation of the canonical Wnt pathway promotes organ recovery,while activation of the non-canonical Wnt pathways exacerbates injury.Moreover,we explore novel therapeutic approaches based on these mechanistic findings,incorporating evidence from animal experiments,current standards,and clinical trials.The objective of this review is to provide deeper insights into the roles of Wnt and its crosstalk signaling pathways in I/R-mediated processes and organ dysfunction,to facilitate the development of innovative therapeutic agents for I/R injury.

关键词： therapeutic reperfusion damage

Defining two subpopulations of marginal zone B cells

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Cellular & Molecular Immunology 2024年第4期21卷 412-413页

作者： Xiaojing liu Fei-Long meng Key Laboratory of RNA Science and Engineering Shanghai Institute of Biochemistry and Cell BiologyCenter for Excellence in Molecular Cell ScienceChinese Academy of SciencesUniversity of Chinese Academy of SciencesShanghai200031China

Marginal zone(MZ)B cells,which are composed of heterogeneous subpopulations,are participate in the rapid response to antigens.Lee et al.showed that MZ B cells can be divided into two distinct subpopulations based on CD80 expression.These two subpopulations of MZ B cells exhibit differential autoreactivity,radiosensitivity,and functional capacities.

关键词： expression. subpopulations al.