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Translational application of neuroimaging in major depressive disorder:a review of psychoradiological studies

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Frontiers of Medicine 2021年第4期15卷 528-540页

作者： Ziqi Chen Xiaoqi Huang Qiyong Gong bharat b.biswal Huaxi MR Research Center(HMRRC) Department of RadiologyWest China Hospital of Sichuan UniversityChengdu 610041China Research Unit of Psychoradiology.Chinese Academy of Medical Sciences Chengdu 610041China Functional and Molecular Imaging Key Laboratory of Sichuan Province Chengdu 610041China Department of biomedical Engineering New Jersey Institute of TechnologyNewarkNJ 07102USA The Clinical Hospital of Chengdu brain Science Institute MOE Key Lab for NeuroinformationUniversity of Electronic Science and Technology of ChinaChengdu 610054China

Major depressive disorder(MDD)causes great decrements in health and quality of life with increments in healthcare costs,but the causes and pathogenesis of depression remain largely unknown,which greatly prevent its early detection and effective *** the advancement of neuroimaging approaches,numerous functional and structural alterations in the brain have been detected in MDD and more recently attempts have been made to apply these findings to clinical *** this review,we provide an updated summary of the progress in translational application of psychoradiological findings in MDD with a specified focus on potential clinical *** foreseeable clinical applications for different MRI modalities were introduced according to their role in disorder classification,subtyping,and *** evidence of cerebral structural and functional changes associated with MDD classification and subtyping was heterogeneous and/or sparse,the ACC and hippocampus have been consistently suggested to be important biomarkers in predicting treatment selection and treatment *** findings underlined the potential utility of brain biomarkers for clinical practice.

关键词： psychoradiology major depressive disorder MRI biomarker

L-Proline catalyzed one-pot multi-component synthesis of 2-(1,3-diphenyl-1H-pyrazol-4-yl)quinazolin-4(3H)-one derivatives and their biological studies

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Chinese Chemical Letters 2014年第5期25卷 741-744页

作者： Hemal b. Mehta bharat C. Dixit Ritu b. Dixit Ashok and Rita Patel Institute of Integrated Study and Research in biotechnology and Allied Sciences Chemistry Departments V. P. and R. P. T. P Science CollegeAffiliated to Sardar Patel University

A new series of quinazolin-4（3H）-one derivatives containing a（1 3-diphenyl-1H-pyrazol-4-yl） core with substituents at the 2-position and aromatic or heteroaromatic substituents at the 3-position were synthesized using an L-proline catalyzed one-pot multi-component reaction *** the synthesized compounds were characterized and screened for their antimicrobial,antifungal and anti-tubercular activities.

关键词： Quinazolin-4(3H)-one Pyrazole L-Proline Antimicrobial Antifungal Anti-tubercular activity

Polymer-capped gold nanoparticles and ZnO nanorods form binary photocatalyst on cotton fabrics: Catalytic breakdown of dye

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Frontiers of Materials Science 2021年第3期15卷 431-447页

作者： bharat bARUAH Christopher KELLEY Grace b.DJOKOTO Kelly M.HARTNETT Department of Chemistry and biochemistry Kennesaw State UniversityKennesawGA 30144-5591USA Division of Natural Sciences Oglethorpe UniversityAtlantaGA 30319USA

This work reports the immobilization of zinc oxide(ZnO)nanostructures and gold nanoparticles(AuNPs)on cotton fabrics(CFs).The ZnO and AuNPs containing CF composite materials demonstrated excellent photocatalytic activity towards degradation of the model organic dye molecule.A two-step method was used to first create zinc oxide nanorods(ZnONRs)on the CF ***,these ZnONRs were decorated with cationic polymer-capped AuNPs to yield the composite materials.A one-pot synthetic route was developed to synthesize polymer-capped *** water-soluble cationic polymers used here are polyguanidino oxanorbornenes(PGONs)at 20 kDa and polyamino oxanorbornenes(PAONs)at 20 ***-vis was utilized to monitor the composite materials’photocatalytic activity in degrading model organic dye *** the materials were characterized by FTIR,UV-visible DRS,SEM,EDX,and *** composite materials exhibited excellent photocatalytic activity and recyclability in the presence of UV light.

关键词： cationic polymer polymer-capped nanoparticles ZnO nanorods fabric photocatalysis

Kinematic Modeling for biped Robot Gait Trajectory Using Machine Learning Techniques

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Journal of bionic Engineering 2022年第2期19卷 355-369页

作者： bharat Singh Ankit Vijayvargiya Rajesh Kumar Department of Electrical Engineering Malaviya National Institute of TechnologyJaipur 302017India

This paper presents the predictive models for biped robot trajectory *** models are parametrizing as a continuous function of joint angle *** a previous work,the authors had collected the human locomotion dataset at RAMAN Lab,MNIT,Jaipur,*** MNIT gait dataset consists of walking data on a plane surface of 120 human subjects from different age groups and ***-two machine learning models(linear,support vector,k-nearest neighbor,ensemble,probabilistic,and deep learning)trained using the collected *** addition,two types of mapping,(a)one-to-one and(b)many-to-one,are presented for each *** mapping models act as a reference policy for the control of joints and prediction of state for the next time instant in advance if the onboard sensor *** show that the deep learning and probabilistic learning models perform better for both types of ***,the probabilistic model outperforms the deep learning-based models in terms of maximum error,because the probabilistic model effectively deals with the prediction *** addition,many-to-one outperforms the one-to-one mapping because it captures the correlation between knee,hip,and ankle ***,this study suggests a many-to-one mapping using the probabilistic model for biped robot trajectory generation.

关键词： Kinematic Locomotion Machine learning Prediction Regression

Habitat Range of two Alpine Medicinal Plants in a Trans-Himalayan Dry Valley,Central Nepal

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Journal of Mountain Science 2009年第1期6卷 66-77页

作者： bharat babu SHRESTHA Pramod Kumar JHA Central Department of botany Tribhuvan UniversityKathmanduNepal

Understanding of the habitat range of threatened Himalayan medicinal plants which are declining in their abundance due to high anthropogenic disturbances is essential for developing conservation strategies and agrotechnologies for cultivation. In this communication, we have discussed the habitat range of two alpine medicinal plants, Aconitum naviculare （bruehl） Stapf and Neopicrorhiza scrophulariiflora （Pennel） Hong in a trans-Himalayan dry valley of central Nepal, Manang district. They are the most prioritized medicinal plants of the study area in terms of ethnomedicinal uses. A. naviculare occurs on warm and dry south facing slopes between 4090-4650 m asl along with sclerophyllous and thorny alpine scrubs, while N. scrophulariiflora is exclusively found on cool and moist north facing slope between 4000 and 4400 m asl where adequate water is available from snow melt to create a suitable habitat for this wetland dependent species. The soil in rooting zone of the two plants differs significantly in organic carbon （OC）, organic matter （OM）, total nitrogen （N） and carbon to nitrogen （C/N） ratio. Due to cool and moist condition of N. scrophulariiflora habitat, accumulation of soil OC is higher, but soil N content is lower probably due to slow release from litter, higher leaching loss and greater retention in perennial live biomass of the plant. The C/N ratio of soil is more suitable in A. navuculare habitat than that of N scrophulariiflora for N supply. Warm and sunny site with N rich soil can be suitable for cultivation ofA. naviculare, while moist and cool site with organic soil for N. scrophulariiflora. The populations of both the plants are fragmented and small. Due to collection by human and trampling damage by livestock, the population of A. naviculare was found absent in open areas in five of the six sampling sites and it was confined only within the bushes of alpine scrubs. For N. serophulariiflora, high probability of complete receding of small glaeiers may be

关键词： Aconitum naviculare Neopicrorhizascrophulariiflora habitat degradation nitrogen organic carbon radiation Manang Nepal

Test-Retest Reliability of Functional Magnetic Resonance Imaging Activation for a Vergence Eye Movement Task

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Neuroscience bulletin 2020年第5期36卷 506-518页

作者： Cristian Morales Suril Gohel Xiaobo Li Mitchell Scheiman bharat b.biswal Elio M.Santos Chang Yaramothu Tara L.Alvarez biomedical Engineering New Jersey Institute of TechnologyNewarkNJ 07102USA Pennsylvania College of Optometry Salus UniversityPhiladelphiaPA 19027USA Department of Health Informatics Rutgers University School of Health ProfessionsNewarkNJ 07107USA

Vergence eye movements are the inward and outward rotation of the eyes responsible for binocular *** studies have mapped and investigated the neural substrates of vergence,it is not well understood whether vergence eye movements evoke the blood oxygen level-dependent signal reliably in separate experimental *** test-retest reliability of stimulus-induced vergence eye movement tasks during a functional magnetic resonance imaging(fMRI)experiment is important for future randomized clinical trials(RCTs).In this study,we established region of interest(ROI)masks for the vergence neural ***-seven binocularly normal young adults participated in two functional imaging sessions measured on different days on the same 3 T Siemens *** fMRI experiments used a block design of sustained visual fixation and rest blocks interleaved between task blocks that stimulated eight or four vergence eye *** test-retest reliability of task-activation was assessed using the intraclass correlation coefficient(ICC),and that of spatial extent was assessed using the Dice *** activation during the vergence eye movement task of eight movements compared to rest was repeatable within the primary visual cortex(ICC=0.8),parietal eye fields(ICC=0.6),supplementary eye field(ICC=0.5),frontal eye fields(ICC=0.5),and oculomotor vermis(ICC=0.6).The results demonstrate significant test-retest reliability in the ROIs of the vergence neural substrates for functional activation magnitude and spatial extent using the stimulus protocol of a task block stimulating eight vergence eye movements compared to sustained *** ROIs can be used in future longitudinal RCTs to study patient populations with vergence dysfunctions.

关键词： Vergence eye movement Test-retest reliability Functional MRI Vergence region of interest masks

Transcriptomic and Macroscopic Architectures of Multimodal Covariance Network Reveal Molecular–Structural–Functional Co-alterations

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Research 2024年第1期2023卷 471-487页

作者： Lin Jiang Yueheng Peng Runyang He Qingqing Yang Chanlin Yi Yuqin Li bin Zhu Yajing Si Tao Zhang bharat b.biswal Dezhong Yao Lan Xiong Fali Li Peng Xu The Clinical Hospital of Chengdu brain Science Institute MOE Key Lab for NeuroinformationUniversity of Electronic Science and Technology of ChinaChengdu 611731China School of Life Science and Technology Center for Information in BioMedicineUniversity of Electronic Science and Technology of ChinaChengdu 611731China School of Psychology Xinxiang Medical UniversityXinxiang 453003China School of Science Xihua UniversityChengdu 610039China Department of biomedical Engineering New Jersey Institute of TechnologyNewarkNJUSA School of Electrical Engineering Zhengzhou UniversityZhengzhou 450001China Research Unit of NeuroInformation Chinese Academy of Medical Sciences2019RU035ChengduChina Montreal Neurological Institute and Hospital McGill UniversityMontrealQCCanada Department of Electrical and Computer Engineering Faculty of Science and TechnologyUniversity of MacaoMacaoChina Radiation Oncology Key Laboratory of Sichuan Province 610041 ChengduChina Rehabilitation Center Qilu Hospital of Shandong UniversityJinan 250012China

Human cognition is usually underpinned by intrinsic structure and functional neural co-activation in spatially distributed brain *** to lacking an effective approach to quantifying the covarying of structure and functional responses,how the structural–functional circuits interact and how genes encode the relationships,to deepen our knowledge of human cognition and disease,are still ***,we propose a multimodal covariance network(MCN)construction approach to capture interregional covarying of the structural skeleton and transient functional activities for a single *** further explored the potential association between brain-wide gene expression patterns and structural–functional covarying in individuals involved in a gambling task and individuals with major depression disorder(MDD),adopting multimodal data from a publicly available human brain transcriptomic atlas and 2 independent *** analysis showed a replicable cortical structural–functional fine map in healthy individuals,and the expression of cognition-and disease phenotype-related genes was found to be spatially correlated with the corresponding MCN *** analysis of cell type-specific signature genes suggests that the excitatory and inhibitory neuron transcriptomic changes could account for most of the observed correlation with task-evoked MCN differences.

关键词： alterations evoked spatially

Discovery of 2716 hot emission-line stars from LAMOST DR5

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Research in Astronomy and Astrophysics 2021年第11期21卷 165-179页

作者： baskaran Shridharan blesson Mathew Sabu Nidhi Ravikumar Anusha Roy Arun Sreeja S.Kartha Yerra bharat Kumar Department of Physics and Electronics CHRIST(Deemed to be University)Bangalore 560029India Key Laboratory of Optical Astronomy National Astronomical ObservatoriesChinese Academy of SciencesBeijing 100101China

We present a catalog of 3339 hot emission-line stars(ELSs)identified from 451695 O,b and A type spectra,provided by LAMOST Data Release 5(DR5).We developed an automated Python routine that identified 5437 spectra having a peak between 6561 and 6568.False detections and bad spectra were removed,leaving 4138 good emission-line spectra of 3339 unique *** re-estimated the spectral types of 3307 spectra as the LAMOST Stellar Parameter Pipeline(LASP)did not provide accurate spectral types for these emission-line *** Herbig Ae/be stars exhibit higher excess in near-infrared and mid-infrared wavelengths than classical Ae/be stars,we relied on 2 MASS and WISE photometry to distinguish ***,we report 1089 classical be,233 classical Ae and 56 Herbig Ae/be stars identified from LAMOST *** addition,928 b[em]/A[em]stars and 240 CAe/Cbe potential candidates are *** our sample of 3339 hot ELSs,2716 ELSs identified in this work do not have any record in the SIMbAD database and they can be considered as new *** of such a large homogeneous set of emission-line spectra will help the community study the emission phenomenon in detail without worrying about the inherent biases when compiling from various sources.

关键词： stars:early-type methods:data analysis techniques:photometric astronomical databases:catalogs

Predicting defect behavior in b2 intermetallics by merging ab initio modeling and machine learning

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npj Computational Materials 2016年第1期2卷 1-10页

作者： bharat Medasani Anthony Gamst Hong Ding Wei Chen Kristin A Persson Mark Asta Andrew Canning Maciej Haranczyk Computational Research Division Lawrence Berkeley National LaboratoryBerkeleyCA 94720USA Physical and Computational Sciences Directorate Pacific National Northwest LaboratoryRichlandWA 99354USA biostatistics and bioinformatics University of CaliforniaSan DiegoCA 92093USA Department of Materials Science&Engineering University of CaliforniaBerkeleyCA 94720USA Energy Technologies Area Division Lawrence Berkeley National LaboratoryBerkeleyCA 94720USA Energy Technologies Area Lawrence Berkeley National LaboratoryBerkeleyCA 94720USA Department of Mechanical Materials and Aerospace EngineeringIllinois Institute of TechnologyChicagoIL 60616USA Materials Sciences Division Lawrence Berkeley National LaboratoryBerkeleyCA 94720USA

We present a combination of machine learning and high throughput calculations to predict the points defects behavior in binary intermetallic(A–b)compounds,using as an example systems with the cubic b2 crystal structure(with equiatomic Ab stoichiometry).To the best of our knowledge,this work is the first application of machine learning-models for point defect *** throughput first principles density functional calculations have been employed to compute intrinsic point defect energies in 100 b2 intermetallic *** systems are classified into two groups:(i)those for which the intrinsic defects are antisites for both A and b rich compositions,and(ii)those for which vacancies are the dominant defect for either or both composition *** data was analyzed by machine learning-techniques using decision tree,and full and reduced multiple additive regression tree(MART)*** these three schemes,a reduced MART(r-MART)model using six descriptors(formation energy,minimum and difference of electron densities at the Wigner–Seitz cell boundary,atomic radius difference,maximal atomic number and maximal electronegativity)presents the highest fit(98%)and predictive(75%)*** model is used to predict the defect behavior of other b2 compounds,and it is found that 45%of the compounds considered feature vacancies as dominant defects for either A or b rich compositions(or both).The ability to predict dominant defect types is important for the modeling of thermodynamic and kinetic properties of intermetallic compounds,and the present results illustrate how this information can be derived using modern tools combining high throughput calculations and data analytics.

关键词： intermetallic intermetallics defect