检索结果-南通市图书馆

Detecting somatisation disorder via speech:introducing the Shenzhen Somatisation Speech Corpus

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Intelligent Medicine 2024年第2期4卷 96-103页

作者： Kun Qian Ruolan Huang Zhihao Bao Yang Tan Zhonghao Zhao Mengkai Sun Bin Hu björn w.schuller Yoshiharu Yamamoto Key Laboratory of Brain Health Intelligent Evaluation and Intervention Ministry of EducationBeijing Institute of TechnologyBeijing 100081China School of Medical Technology Beijing Institute of TechnologyBeijing 100081China The First School of Clinical Medicine Southern Medical UniversityGuangzhouGuangdong 510515China Department of Neurology Shenzhen University General HospitalShenzhenGuangdong 518055China Group on Language Audio&MusicImperial College LondonLondon SW72AZUK Embedded Intelligence for Health Care and wellbeing University of AugsburgAugsburg 86159Germany Educational Physiology Laboratory Graduate School of EducationThe University of TokyoTokyo 113-0033Japan

Objective Speech recognition technology is widely used as a mature technical approach in many *** the study of depression recognition,speech signals are commonly used due to their convenience and ease of *** speech recognition is popular in the research field of depression recognition,it has been little studied in somatisation disorder *** reason for this is the lack of a publicly accessible database of relevant speech and benchmark *** this end,we introduced our somatisation disorder speech database and gave benchmark *** By collecting speech samples of somatisation disorder patients,in cooperation with the Shenzhen University General Hospital,we introduced our somatisation disorder speech database,the Shenzhen Somatisation Speech Corpus(SSSC).Moreover,a benchmark for SSSC using classic acoustic features and a machine learning model was proposed in our *** To obtain a more scientific benchmark,we compared and analysed the performance of different acoustic features,i.e.,the full ComPare feature set,or only Mel frequency cepstral coefficients(MFCCs),fundamental frequency(F0),and frequency and bandwidth of the formants(F1-F3).By comparison,the best result of our benchmark was the 76.0%unweighted average recall achieved by a support vector machine with formants F1–*** The proposal of SSSC may bridge a research gap in somatisation disorder,providing researchers with a publicly accessible speech *** addition,the results of the benchmark could show the scientific validity and feasibility of computer audition for speech recognition in somatization disorders.

关键词： Somatisation disorder Machine learning Healthcare Computer audition

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

跨越人工智能在精神疾病临床应用中的鸿沟

Science Bulletin 2023年第15期68卷 1606-1610页

作者：陆唐胜刘晓星孙杰鲍彦平 björn w.schuller 韩盈陆林 National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence Research Peking UniversityBeijing 100191China Peking University Sixth Hospital Peking University Institute of Mental HealthNHC Key Laboratory of Mental Health(Peking University)National Clinical Research Center for Mental Disorders(Peking University Sixth Hospital)Chinese Academy of Medical Sciences Research UnitPeking UniversityBeijing 100191China Pain Medicine Center Peking University Third HospitalBeijing 100191China GLAM-Group on Language Audio&MusicImperial College LondonLondon SW72AZUK Peking-Tsinghua Center for Life Sciences and PKU-IDG/McGovern Institute for Brain Research Peking UniversityBeijing 100871China

Mental disorder is one of the greatest health challenges of our time,attracting increasingly more public awareness and causing high disability and huge socioeconomic *** to the 2019 Global Burden of Disease led by the Institute for Health Metrics and Evaluation,12.5%of the global population has been suffering from a mental ***,mental illness contributes to 32.4%of years lived with disability and 13.0%of disability-adjusted life-years[1].

关键词：精神疾病人工智能 attracting

The Inverse Problems for Computational Psychophysiology:Opinions and Insights

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Cyborg and Bionic Systems 2022年第1期2022卷 262-264页

作者： Bin Hu Kun Qian Ye Zhang Jian Shen björn w.schuller School of Medical Technology Beijing Institute of TechnologyBeijing 100081China School of Mathematics and Statistics Beijing Inst itute of Technology Beijing 100081China GLAM-Group on Language AudioMusicImperial College LondonUK Chair of Embedded Itelligence for Health Care and wellbeing University of Augsburg Germany

*** Since a long time,measuring the psychological status of sub-jects in a quantitative paradigm is a challenging problem inthe scientific *** is known that there is not adirect way to measure the_psychological quanti... 详细信息

关键词： quantities Inverse

跨越人工智能在精神疾病临床应用中的鸿沟（英文）

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Science Bulletin 2023年第15期 1606-1610页

作者：陆唐胜刘晓星孙杰鲍彦平 bj?rn w.schuller 韩盈陆林 National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence Research Peking University Peking University Sixth Hospital Peking University Institute of Mental Health NHC Key Laboratory of Mental Health (Peking University) National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital) Chinese Academy of Medical Sciences Research Unit Peking University Pain Medicine Center Peking University Third Hospital GLAM-Group on Language Audio & Music Imperial College London Peking-Tsinghua Center for Life Sciences and PKU-IDG/Mc Govern Institute for Brain Research Peking University

Mental disorder is one of the greatest health challenges of our time,attracting increasingly more public awareness and causing high disability and huge socioeconomic *** to the 2019 Global Burden of Disease led by the Institute for Health Metrics and Evaluation,12.5%of the global population has been suffering from a mental ***,mental illness contributes to 32.4% of years lived with disability and 13.0%of disability-adjusted life-years [1].

关键词：

Violent collisions can reveal hexadecapole deformation of nuclei

同方期刊数据库评论

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

Nuclear Science and Techniques 2024年第7期35卷 1-3页

作者： björn Schenke Physics Department Brookhaven National LaboratoryUptonNY 11973USA

A new observable in heavy ion collision experiments was identified to be sensitive to the hexadecapole deformation of the colliding *** deformation is difficult to measure in traditional nuclear electric transition measurements,as it is often overwhelmed by the nuclear quadrupole *** opens the door to gain new insight into nuclear structure with experiments that were designed to study hot and dense nuclear matter.

关键词： deformation collision insight

Violent collisions can reveal hexadecapole deformation of nuclei

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Nuclear Science and Techniques 2024年第7期 70-72页

作者： bj?rn Schenke Physics Department Brookhaven National Laboratory

A new observable in heavy ion collision experiments was identified to be sensitive to the hexadecapole deformation of the colliding nuclei. Such deformation is difficult to measure in traditional nuclear electric transition measurements, as it is often overwhelmed by the nuclear quadrupole deformation. This opens the door to gain new insight into nuclear structure with experiments that were designed to study hot and dense nuclear *** structures are determined by the nuclear force, providing fundamental insight into the laws of nature. Deformations,quantifiedbydeviationsfromasphericalshape,area consequence of the interaction between the nuclear shell structure and the residual valence nucleons, whose detailed knowledge is crucial for understanding for example nucleosynthesis,nuclearfission,andneutrinolessdouble-beta decay.

关键词：

Accelerated design of high-performance Mg-Mn-based magnesium alloys based on novel bayesian optimization

同方期刊数据库评论

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

Journal of Magnesium and Alloys 2024年第2期12卷 750-766页

作者： Xiaoxi Mi Lili Dai Xuerui Jing Jia She bjørn Holmedal Aitao Tang Fusheng Pan College of Materials Science and Engineering Chongqing UniversityChongqing 400044China Southwest Technology and Engineering Research Institute Chongqing 400039China National Engineering Research Center for Magnesium Alloys Chongqing UniversityChongqing 400044China Department of Materials Science and Engineering Norwegian University of Science and Technology(NTNU)Trondheim 7051Norway

Magnesium(Mg),being the lightest structural metal,holds immense potential for widespread applications in various *** development of high-performance and cost-effective Mg alloys is crucial to further advancing their commercial *** the rapid advancement of machine learning(ML)technology in recent years,the“data-driven''approach for alloy design has provided new perspectives and opportunities for enhancing the performance of Mg *** paper introduces a novel regression-based Bayesian optimization active learning model(RBOALM)for the development of high-performance Mg-Mn-based wrought *** employs active learning to automatically explore optimal alloy compositions and process parameters within predefined ranges,facilitating the discovery of superior alloy *** model further integrates pre-established regression models as surrogate functions in Bayesian optimization,significantly enhancing the precision of the design *** RBOALM,several new high-performance alloys have been successfully designed and ***,after mechanical property testing of the designed alloys,the Mg-2.1Zn-2.0Mn-0.5Sn-0.1Ca alloy demonstrates exceptional mechanical properties,including an ultimate tensile strength of 406 MPa,a yield strength of 287 MPa,and a 23%fracture ***,the Mg-2.7Mn-0.5Al-0.1Ca alloy exhibits an ultimate tensile strength of 211 MPa,coupled with a remarkable 41%fracture elongation.

关键词： Mg-Mn-based alloys High-performance Alloy design Machine learning Bayesian optimization

Skeletal microstructures of cheilostome bryozoans(phylum Bryozoa,class Gymnolaemata):crystallography and secretion patterns

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Marine Life Science & Technology 2024年第3期6卷 405-424页

作者： Christian Grenier Erika Griesshaber wolfgang Schmahl björn Berning Antonio G.Checa Departamento de Estratigrafía y Paleontología Universidad de Granada18071 GranadaSpain Instituto Andaluz de Ciencias de La Tierra CSIC-Universidad de Granada18100 ArmillaSpain Department of Earth and Environmental Sciences Ludwig-Maximilians Universität80333 MunichGermany Institute for Geology University of Hamburg20146 HamburgGermany

Gymnolaemata bryozoans produce CaCO3 skeletons of either calcite,aragonite,or *** extensive research,their crystallography and biomineralization patterns remain *** present a detailed study of the microstructures,min-eralogy,and crystallography of eight extant cheilostome species using scanning electron microscopy,electron backscatter diffraction,atomic force microscopy,and micro-computed *** distinguished five basic microstructures,three calcitic(tabular,irregularly platy,and granular),and two aragonitic(granular-platy and fibrous).The calcitic microstruc-tures consist of crystal aggregates that transition from tabular or irregularly platy to granular *** aragonite consists of fibers arranged into *** all cases,the crystallographic textures are axial,and stronger in aragonite than in calcite,with the c-axis as the fiber *** reconstruct the biomineralization sequence in the different species by considering the distribution and morphology of the growth fronts of crystals and the location of the secretory *** bimineralic species,calcite formation always predates aragonite *** interior compound walls,growth proceeds from the cuticle toward the zooecium *** conclude that,with the exception of tabular calcite,biomineralization is remote and occurs within a relatively wide extrapallial space,which is consistent with the inorganic-like appearance of the *** biomineralization mode is rare among invertebrates.

关键词： Biomineralization Bryozoan Skeleton Calcite Aragonite Electron backscatter diffraction

Induction System for a Fusion Reactor: Quantum Mechanics Chained up

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of High Energy Physics, Gravitation and Cosmology 2024年第1期10卷 158-166页

作者： Friedrich björn Grimm CEO of RES-Institute Stuttgart Germany

In the quest for a sustainable and abundant energy source, nuclear fusion technology stands as a beacon of hope. This study introduces a groundbreaking quantum mechanically effective induction system designed for magnetic plasma confinement within fusion reactors. The pursuit of clean energy, essential to combat climate change, hinges on the ability to harness nuclear fusion efficiently. Traditional approaches have faced challenges in plasma stability and energy efficiency. The novel induction system presented here not only addresses these issues but also transforms fusion reactors into integrated construction systems. This innovation promises compact fusion reactors, marking a significant step toward a clean and limitless energy future, free from the constraints of traditional power sources. This revolutionary quantum induction system redefines plasma confinement in fusion reactors, unlocking clean, compact, and efficient energy production.

关键词： Fusion Reactor Plasma Confinement Quantum Mechanics Clean Energy