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Composition of treatment alliance in bipolar disorder: A cross-sectional study of patients' perspectives

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World Journal of Psychiatry 2022年第6期12卷 814-826页

作者： Rajeet kumar Subho Chakrabarti abhishek Ghosh Department of Psychiatry Postgraduate Institute of Medical Education and ResearchChandigarh 160012India

BACKGROUND Treatment alliance has an impact on several key patient outcomes in all psychiatric disorders,including bipolar disorder(BD).It has been suggested that the construct of treatment alliance is different among patients from routine psychiatric settings compared to psychotherapeutic ***,research on the composition of treatment alliance in psychiatric disorders,such as BD,is relatively *** To determine whether a broader construct of treatment alliance was prevalent among outpatients with *** This is a cross-sectional study,conducted in the psychiatric unit of a multispecialty hospital in north India over 12 mo(September 2018 to September 2019).A consecutive sample of 160 remitted adult outpatients with BD on mood stabilizers for at least a year were *** principal instrument to assess treatment alliance was the Working Alliance Inventory-client version(WAIClient).Other potential constituents of the alliance explored were perceived trust in clinicians assessed by the Trust in Physicians(TRIP)scale,perceived support from clinicians assessed by the Psychosocial Care by Physicians(PCP)scale,and perceived treatment satisfaction assessed by the Patient Satisfaction Questionnaire(PSQ).Associations between scores on all scales were determined by correlational and multiple regression *** factor analysis of combined items of all scales was conducted using a principal components *** Scores on all the three WAI-Client subscales were significantly correlated with each other(r=0.66-0.81;P<0.0001).The total TRIP scores were associated with the total WAI-Client scores(r=0.28;P<0.01).The total TRIP scores and the total PCP scores were also significantly associated with the WAI-Client scores on the Task subscale(r=0.28-0.29;P<0.01).The total TRIP scores were significantly associated with the total PSQ scores(r=0.45;P<0.0001).Factor analysis yielded two independent and coherent factors,which explained 69%of the va

关键词： Treatment alliance Bipolar disorder Composition Factor-analysis

Advances in the Structural Composition of Biomass:Fundamental and Bioenergy Applications

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Journal of Renewable Materials 2021年第4期9卷 615-636页

作者： Neha srivastava Akshay Shrivastav Rajeev Singh Mohammed Abohashrh K.R.srivastava Safia Irfan Manish srivastava P.K.Mishra Vijai kumar Gupta Vijay kumar Thakur Department of Chemical Engineering and Technology Indian Institute of Technology(BHU)Varanasi221005India Department of Chemical Engineering Madan Mohan Malaviya University of TechnologyGorakhpur273010India Department of Environmental Studies Satyawati CollegeUniversity of DelhiDelhi110052India Department of Basic Medical Sciences College of Applied Medical SciencesKing Khalid UniversityAbhaSaudi Arabia Departentof Biotechnology Faculty of BiosciencesIntegral UniversityLucknow226026India Biorefining and Advanced Materials Research Center Scotland’s Rural College(SRUC)EdinburghEH93JGUK

Increased environmental pollution due to the organic wastes over the world is one of the most burning *** organic wastes lie under the category of biodegradable waste and can be effectively degraded from their complex compound into simple one by the action of microbes or other living ***,lignocellulosic biomass is a major part of the biodegradable waste and belongs to the group of renewable energy source,which can be very effective for bioenergy *** are made up of different compounds such as cellulose,hemicelluloses,lignin and *** from these components,based on the structural analysis biomass also consist of bioactive substances such as carotenoids,flavonoids,lignin and *** review explores a complete overview of the classification,component and the structure of the ***,it discusses how biomasses can play the key role of substrate in many sectors such as industrial bioenergy production including gaseous and liquid biofuels.

关键词： Biomass classification composition bioactive substance biofuels

A perspective on biochar for repairing damages in the soil-plant system caused by climate change-driven extreme weather events

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Biochar 2022年第1期4卷 817-839页

作者： abhishek kumar Tanushree Bhattacharya Santanu Mukherjee Binoy Sarkar Department of Civil and Environmental Engineering Birla Institute of TechnologyMesraRanchi 835215JharkhandIndia School of Agriculture Shoolini University of Biotechnology and Management SciencesSolan 173229India Lancaster Environment Centre Lancaster UniversityLancaster LA14YQUK

There has been more than 75%rise in the number of extreme weather events such as drought and flood during 2000-2019 compared to 1980-1999 due to the adverse effects of climate change,causing significant deterioration of the soil and water ***,the growing human population has been exerting pressure on available water and soil resources due to overuse or unplanned *** greenhouse gas emissions have intensified,the fertility of agricultural soils has declined globally due to the exposure of soils to frequent flooding,desertification,and salinization(resulting from extreme weather events).The current review aims to give an overview of damages caused to the soil-plant system by extreme weather events and provide a perspective on how biochar can repair the damaged *** is known to improve soil fertility,increase crop productivity and mitigate greenhouse gas emissions via sustainable recycling of *** properties of biochar such as alkaline pH,high cation exchange capacity,abundant surface functional groups,remarkable surface area,adequate porosity,excellent water holding capacity,and sufficient nutrient retention capacity can help repair the adverse effects of extreme weather events in the soil-plant *** paper recommends some cautious future approaches that can propel biochar’s use in improving the soil-plant systems and promoting sustainable functioning of extreme weather-affected areas via mitigation of the adverse effects.

关键词： Biochar Climate change Drought Flood Salinization Temperature rise

Synthesis and electroluminescence properties of tris-[5-choloro-8-hydroxyquinoline]aluminum Al(5-Clq)_3

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Journal of Semiconductors 2015年第6期36卷 35-38页

作者： Rahul kumar Parag Bhargava Ritu srivastava Priyanka Tyagi Indian Institute of Technology Bombay National Physical Laboratory

A new electroluminescent material tris- [5-choloro-8-hydroxyquinoline] aluminum has been synthesized and characterized. Solution of this material AI（5-Clq）3 in toluene showed absorption maxima at 385 nm which was attributed to the moderate energy （π-π＊） transitions of the aromatic rings. The photoluminescence spectrum of AI（5-Clq）3 in toluene solution showed a peak at 522 nm. This material shows thermal stability up to 400 ℃. The structure of the device is ITO/0.4 wt%F4-TCNQ doped α-NPD （35 nm） / AI（5-Clq）3 （30 nm） / BCP （6 nm）/ Alq3 （30 nm） / LiF （1 nm） / A1 （150 nm）. This device exhibited a luminescence peak at 585 nm （CIE coordinates, x = 0.39, y = 0.50）. The maximum luminescence of the device was 920 Cd/m2 at 25 V. The maximum current efficiency of OLED was 0.27 Cd/A at 20 V and maximum power efficiency was 0.04 lm/W at 18 V.

关键词： organometallic compounds chemical synthesis vapour deposition photoluminescence spectroscopy electrical properties luminescence

Emergence of the stromal vascular fraction and secretome in regenerative medicine

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World Journal of Stem Cells 2024年第10期16卷 896-899页

作者： Ratan kumar Choudhary Shanti Choudhary abhishek Tripathi College of Animal Biotechnology Guru Angad Dev Veterinary and Animal Sciences UniversityLudhiana 141004PunjabIndia Hilltop Animal Hospital PalatineIL 60074United States

Recently,we read a mini-review published by Jeyaraman et *** article explored the optimal methods for isolating mesenchymal stromal cells from adipose tissue-derived stromal vascular fraction(SVF).Key factors include tissue source,processing techniques,cell viability assessment,and the advantages/disadvantages of autologous vs allogeneic *** authors emphasized the need for standardized protocols for SVF isolation,ethical and regulatory standards for cell-based therapy,and safety to advance mesenchymal stromal cell-based therapies in human *** manuscript shares our perspective on SVF isolation in *** discussed future directions to potentiate effective regenerative medicine therapeutics in human and veterinary medicine.

关键词： Stromal vascular fraction Mesenchymal stem cells Veterinary regenerative medicine Isolation procedures,Canine model Secretome

Performance Estimation of Machine Learning Algorithms in the Factor Analysis of COVID-19 Dataset

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Computers, Materials & Continua 2021年第2期66卷 1921-1936页

作者： Ashutosh kumar Dubey Sushil Narang abhishek kumar Satya Murthy Sasubilli Vicente García-Díaz Chitkara University Institute of Engineering and Technology Chitkara UniversityPunjabIndia Workday Integration Architect Huntington ColumbusOHUSA Department of Computer Science University of OviedoOviedoSpain

Novel Coronavirus Disease(COVID-19)is a communicable disease that originated during December 2019,when China officially informed the World Health Organization(WHO)regarding the constellation of cases of the disease in the city of ***,the disease started spreading to the rest of the *** this point in time,no specific vaccine or medicine is available for the prevention and cure of the *** research works are being carried out in the fields of medicinal and pharmaceutical sciences aided by data analytics and machine learning in the direction of treatment and early detection of this viral *** present report describes the use of machine learning algorithms[Linear and Logistic Regression,Decision Tree(DT),K-Nearest Neighbor(KNN),Support Vector Machine(SVM),and SVM with Grid Search]for the prediction and classification in relation to *** data used for experimentation was the COVID-19 dataset acquired from the Center for Systems Science and Engineering(CSSE),Johns Hopkins University(JHU).The assimilated results indicated that the risk period for the patients is 12–14 days,beyond which the probability of survival of the patient may *** addition,it was also indicated that the probability of death in COVID cases increases with *** death probability was found to be higher in males as compared to *** with Grid search methods demonstrated the highest accuracy of approximately 95%,followed by the decision tree algorithm with an accuracy of approximately 94%.The present study and analysis pave a way in the direction of attribute correlation,estimation of survival days,and the prediction of death *** findings of the present study clearly indicate that machine learning algorithms have strong capabilities of prediction and classification in relation to COVID-19 as well.

关键词： COVID-19 linear and logistic regression DT KNN SVM SVMwith grid search

Organic bulk heterojunction enabled with nanocapsules of hydrate vanadium pentaoxide layer for high responsivity self-powered photodetector

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Journal of Semiconductors 2022年第9期43卷 39-45页

作者： Hemraj Dahiya Anupam Agrawal Ganesh D.Sharma abhishek kumar Singh The LNM Institute of Information Technology Department of PhysicsJaipurRajasthan 302031India Bhilai Institute of Technology DurgChhattisgarh491001India Rajiv Gandhi Institute of Petroleum Technology Department of Electronics EngineeringAmethiU.P.229304India

This article demonstrates the fabrication of organic-based devices using a low-cost solution-processable technique.A blended heterojunction of chlorine substituted 2D-conjugated polymer PBDB-T-2Cl,and PC71BM supported nanocapsules hy-drate vanadium penta oxides(HVO)as hole transport layer(HTL)based photodetector fabricated on an ITO coated glass sub-strate under ambient *** device forms an excellent organic junction diode with a good rectification ratio of~*** device has also shown excellent photodetection properties under photoconductive mode(at reverse bias)and zero bias for green light wavelength.A very high responsivity of~6500 mA/W and high external quantum efficiency(EQE)of 1400%have been reported in the *** proposed organic photodetector exhibits an excellent response and recovery time of~30 and~40 ms,respectively.

关键词： self-powered detector green light sensor HVO PBDB-T-2Cl detector processable solution sensor

Artificial Neural Network Modeling for Sorption of Cadmium from Aqueous System by Shelled Moringa Oleifera Seed Powder as an Agricultural Waste

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Journal of Water Resource and Protection 2010年第4期2卷 339-344页

作者： abhishek Kardam kumar Rohit Raj Jyoti kumar Arora Man Mohan srivastava Shalini srivastava 不详

A two-layer Artificial Neural Network (ANN) model was developed to predict the removal efficiency of Cd(II) ions from aqueous solution using shelled Moringa Oleifera seed (SMOS) powder. Batch experiments re-sulted into standardization of optimum conditions: biomass dosage (4.0 g), Cd(II) concentration (25 mg/L) volume (200 mL) at pH 6.5. A time of forty minutes was found sufficient to achieve the equilibrium. The ANN model was designed to predict sorption efficiency of SMOS for target metal ion by combining back propagation (BP) with principle component analysis. A sigmoid axon was used as transfer function for input and output layer. The Levenberg-Marquardt algorithm (LMA) was applied, giving a minimum mean squared error (MSE) for training and cross validation at the ninth place of decimal.

关键词： Artificial Neural Network Biosorption SMOS Cd(II) Removal

Neural Network Modeling for Ni(II) Removal from Aqueous System Using Shelled Moringa Oleifera Seed Powder as an Agricultural Waste

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Journal of Water Resource and Protection 2010年第4期2卷 331-338页

作者： kumar Rohit Raj abhishek Kardam Jyoti kumar Arora Man Mohan srivastava Shalini srivastava 不详

A single-layer Artificial Neural Network (ANN) model was developed to predict the removal efficiency of Ni(II) ions from aqueous solution using shelled Moringa Oleifera seed (SMOS) powder. Batch experiments resulted into standardization of optimum conditions: biomass dosage (4.0 g), Ni(II) concentration (25 mg/L) volume (200 mL) at pH 6.5. A time of forty minutes was found sufficient to achieve the equilibrium. The ANN model was designed to predict sorption efficiency of SMOS for target metal ion by combining back propagation (BP) with principle component analysis. A sigmoid axon was used as transfer function for input and output layers. The Levenberg–Marquardt Algorithm (LMA) was applied, giving a minimum mean squared error (MSE) for training and cross validation at the ninth place of decimal.

关键词： Artificial Neural Networks Biosorption Moringa Oleifera Ni(II) Removal