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Structural, electronic, and optical studies of chalcogenides stannite Cu2CdSnX4（X=S, Se, and Te）: insights from the DFT study

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Optoelectronics Letters 2025年第2期21卷 69-76页

作者： jamal GUERROUM Mohamed AL-HATTAB Lhoucine MOUDOU Khalid RAHMANI Youssef LACHTIOUI Omar BAJJOU Laboratory of Engineering in Chemistry and Physics of Matter Faculty of Sciences and Technics Sultan Moulay Slimane University Ecole Normale Supérieure Mohammed V University in Rabat College of Graduate Studies University of South Africa

In this paper,we have calculated the structural,electronic,and optical properties of chalcogenide stannite Cu2CdSnX4（X=S,Se,Te） *** calculations are based on the density functional theory （DFT） method and are performed using the Cambridge sequential total energy package （CASTEP） code included in the Biovia Material Studio 20 *** optical properties have been studied in a domain that extends energetically from 10 meV to 40 *** results show that Cu2CdSnX4（X=S,Se,Te） stannite exhibits absorption in the visible region,the refractive index decreases with increasing energy,and the refractive index values are n=3.2,3.73 and 3.75 for Cu2CdSnS4,Cu2CdSnSe4and Cu2CdSnTe4,*** show also high conductivity,which implies that this material is promising for solar *** results argue in favor of the use of these materials in various potential *** density of state,band structures,and structural properties of Cu2CdSnX4（X=S,Se,and Te） stannite are also studied in this work.

关键词： Refractive index

Synthetic data as an investigative tool in hypertension and renal diseases research

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World Journal of Methodology 2025年第1期15卷 9-13页

作者： Aleena jamal Som Singh Fawad Qureshi Sidney Kimmel Medical College Thomas Jefferson UniversityPhiladelphiaPA 19107United States School of Medicine University of Missouri Kansas CityKansasMO 64106United States Division of Nephrology and Hypertension Mayo ClinicRochesterMN 55905United States

There is a growing body of clinical research on the utility of synthetic data derivatives,an emerging research tool in *** nephrology,clinicians can use machine learning and artificial intelligence as powerful aids in their clinical decision-making while also preserving patient *** is especially important given the epidemiology of chronic kidney disease,renal oncology,and hypertension ***,there remains a need to create a framework for guidance regarding how to better utilize synthetic data as a practical application in this research.

关键词： Synthetic data Artificial intelligence Nephrology Blood pressure Research Editorial

Total versus quantum correlations in a two-mode Gaussian state

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Communications in Theoretical Physics 2021年第5期73卷 38-45页

作者： jamal EI Qars Department of Physics Faculty of Applied SciencesAit-MelloulIbn Zohr UniversityAgadirMorocco EPTHE Department of PhysicsFaculty of SciencesIbn Zohr UniversityAgadirMorocco LPHE-MS Department of PhysicsFaculty of SciencesMohammed V UniversityRabatMorocco

In Li and Luo(2007 ***.A 76032327),the inequality(1/2)T≥Q was identified as a fundamental postulate for a consistent theory of quantum versus classical correlations for arbitrary measures of total T and quantum Q correlations in bipartite quantum ***,Hayden et al(2006 ***.26595)have conjectured that,in some conditions within systems endowed with infinite-dimensional Hilbert spaces,quantum correlations may dominate not only half of total correlations but total correlations ***,in a two-mode Gaussian state,quantifying T and Q respectively by the quantum mutual information I~G and the entanglement of formation(EoF)ε_(F)^(G),we verify thatε_(F)^(G),is always less than(1/2)I_(R)^(G( when I~G andε_(F)^(G) are defined via the Rényi-2 *** via the von Neumann entropy,ε_(F,V)^(G),may even dominate I_(V)^(G) itself,which partly consolidates the Hayden conjecture,and partly,provides strong evidence hinting that the origin of this counterintuitive behavior should intrinsically be related to the von Neumann entropy by which the EoFε_(F,V)^(G),is defined,rather than related to the conceptual definition of the EoFε_(F).The obtained results show that—in the special case of mixed two-mode Gaussian states—quantum entanglement can be faithfully quantified by the Gaussian Rényi-2 EoFε_(F,R)^(G),.

关键词： entanglement von Neumann and Rényi-2 entropies quantum mutual information Gaussian states spontaneous emission laser

Characterizing and monitoring global landscapes using GlobeLand30 datasets:the first decade of the twenty-first century

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International Journal of Digital Earth 2019年第6期12卷 642-660页

作者： jamal Jokar Arsanjani Geoinformatics Research Group Department of Planning and DevelopmentAalborg University CopenhagenCopenhagenDenmark

Global land cover maps are important sources of information for a wide range of studies including land change analysis and climate change *** the global land cover maps attempt to present a consistent and homogenous data in terms of the production process,the existing datasets offer coarse resolution data,e.g.1000 m for IGBP DISCover and 300 m for GlobeCover 2009 that is oftentimes ***,GlobeLand30 data based on Landsat archive for two timestamps of 2000 and 2010 has been *** presents a finer spatial resolution of 30 m,which provides numerous opportunities for a wide range of *** main objective of this study is to use this dataset for characterizing global land cover patterns,monitoring,and identifying extreme land change cases with their types and *** findings reveal massive land change patterns including deforestation,desertification,shrinkage of water bodies,and urbanization across the *** results and discussions of this research can help policy-makers,environmental planners,ecosystem services providers and climate change researchers to gain finer insights about the forms of global land *** research calls for further investigation of the underlying causes of the massive changes and their consequences on our ecosystems and human populations.

关键词： Globeland30 historical land change global land cover maps urbanization deforestation water bodies’shrinkage desertification

Factors affecting farmers'choice to adopt risk management strategies:The application of multivariate and multinomial probit models

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Journal of Integrative Agriculture 2024年第12期23卷 4250-4262页

作者： jamal Shah Majed Alharthi School of Business Department of EconomicsUniversity of DundeeDundee DD14HNUnited Kingdom Finance Department College of BusinessKing Abdulaziz UniversityRabigh 21911Saudi Arabia

This study investigates the factors that impact farmers'adoption of risk management strategies(RMS)in Pakistan during times of *** study examines farmers'adoption of RMS using both multinomial probit(MNP)and multivariate probit(MVP).Data were collected from 382 farmers sampled from four districts in KhyberPakhtunkhwa(KP)province of Pakistan via a multistage sampling *** study utilizes the MNP model,considering the assumption of Independence of Irrelevant Alternatives(IIA)and incorporating correlated error *** objective is to understand farmers'behavior in risky situations and determine if there is *** are compared with the MVP model to assess robustness and gain deeper understanding of farmers'decisionmaking *** research findings reveal that our results are robust,and farmers behave homogeneously in various RMS *** adopt RMS individually or in combination to mitigate the adverse effects of natural calamities on their *** risk-averse farmers,who perceive weather-related risks as a threat,access credits and information,and have farms close to a river are more likely to adopt RMS,irrespective of the format of the strategies ***,the predicted probabilities and correlation of the RMS and RM categories have strengthened our model *** findings provide insights into the behavior of farmers in adopting RMS which are helpful for policymakers and stakeholders in developing strategies to mitigate the impacts of natural calamities on farmers.

关键词： multinomial probit model multivariate probit model risk management strategies risk-attitude risk perception

Acute fatty liver of pregnancy:An update on pathogenesis and clinical implications

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World Journal of Gastroenterology 2006年第46期12卷 7397-7404页

作者： jamal A Ibdah Division of Gastroenterology School of Medicine University of Missouri at Columbia One Hospital Drive Columbia Missouri 65212 United States

Acute fatty liver of pregnancy (AFLP) is a serious maternal illness occurring in the third trimester of pregnancy with significant perinatal and maternal mortality. Till recently, it has been considered a mysterious illness. In this editorial, we review the recent advances in understanding the pathogenesis of AFLP and discuss the studies documenting a fetal-maternal interaction with a causative association between carrying a fetus with a defect in mitochondrial fatty acid oxidation and development of AFLP. Further, we discuss the impact of these recent advances on the offspring born to women who develop AFLP, such that screening for a genetic defect can be life saving to the newborn and would allow genetic counseling in subsequent pregnancies. The molecular basis and underlying mechanism for this unique fetal-maternal interaction causing maternal liver disease is discussed.

关键词： Acute fatty liver of pregnancy HELLP syndrome Mitochondrial Trifunctional Protein Mitochondrialfatty acid oxidation

Learning a Deep Predictive Coding Network for a Semi-Supervised 3D-Hand Pose Estimation

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IEEE/CAA Journal of Automatica Sinica 2020年第5期7卷 1371-1379页

作者： jamal Banzi Isack Bulugu Zhongfu Ye Sokoine University Morogoro 3000Tanzania University of Dar-es-Salaam Dar-es-Salaam 35091Tanzania Department of Electronic Engineering and Information Science University of Science and Technology of ChinaHefei 230026China IEEE

In this paper we present a CNN based approach for a real time 3 D-hand pose estimation from the depth *** discriminative approaches have achieved remarkable success but are facing two main challenges:Firstly,the methods are fully supervised hence require large numbers of annotated training data to extract the dynamic information from a hand ***,unreliable hand detectors based on strong assumptions or a weak detector which often fail in several situations like complex environment and multiple *** contrast to these methods,this paper presents an approach that can be considered as semi-supervised by performing predictive coding of image sequences of hand poses in order to capture latent features underlying a given image without *** hand is modelled using a novel latent tree dependency model(LDTM)which transforms internal joint location to an explicit *** the modeled hand topology is integrated with the pose estimator using data dependent method to jointly learn latent variables of the posterior pose appearance and the pose configuration ***,an unsupervised error term which is a part of the recurrent architecture ensures smooth estimations of the final *** on three challenging public datasets,ICVL,MSRA,and NYU demonstrate the significant performance of the proposed method which is comparable or better than state-of-the-art approaches.

关键词： Convolutional neural networks deep learning hand pose estimation human-machine interaction predictive coding recurrent neural networks unsupervised learning

A Generalized Accelerated Failure Time Model to Predict Restoration Time from Power Outages

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International Journal of Disaster Risk Science 2023年第6期14卷 995-1010页

作者： Tasnuba Binte jamal Samiul Hasan Department of Civil Environmentaland Construction EngineeringUniversity of Central FloridaOrlandoFL 32816USA

Major disasters such as wildfire, tornado, hurricane, tropical storm, and flooding cause disruptions in infrastructure systems such as power and water supply, wastewater management, telecommunication, and transportation facilities. Disruptions in electricity infrastructure have negative impacts on sectors throughout a region, including education, medical services,financial services, and recreation. In this study, we introduced a novel approach to investigate the factors that can be associated with longer restoration time of power service after a hurricane. Considering restoration time as the dependent variable and using a comprehensive set of county-level data, we estimated a generalized accelerated failure time(GAFT) model that accounts for spatial dependence among observations for time to event data. The model fit improved by 12% after considering the effects of spatial correlation in time to event data. Using the GAFT model and Hurricane Irma's impact on Florida as a case study, we examined:(1) differences in electric power outages and restoration rates among different types of power companies—investor-owned power companies, rural and municipal cooperatives;(2) the relationship between the duration of power outage and power system variables;and(3) the relationship between the duration of power outage and socioeconomic attributes. The findings of this study indicate that counties with a higher percentage of customers served by investor-owned electric companies and lower median household income faced power outage for a longer time. This study identified the key factors to predict restoration time of hurricane-induced power outages, allowing disaster management agencies to adopt strategies required for restoration process.

关键词： Generalized accelerated failure time model Hurricanes Investor-owned power companies Median income Power outage Restoration time

Trihydrazinotrazine-grafting Fe_(3)O_(4)/SiO_(2) core-shell nanoparticles with expanded porous structure for organic reactions

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Frontiers of Chemical Science and Engineering 2021年第4期15卷 1008-1020页

作者： jamal Rahimi Seyedeh Shadi Mirmohammadi Ali Maleki Catalysts and Organic Synthesis Research Laboratory Department of ChemistryIran University of Science and TechnologyTehran 16846-13114Iran

This study focuses on the synthesis and characterization of a novel magnetic nanocomposite 2,4,6-trihydrazino-1,3,5-triazine(THDT)-fimctionalized with silica-coated iron oxide magnetic nanoparticles(MNPs).This nanocomposite has porous morphology decorated with the spherical *** co-precipitation of iron salts,MNPs were *** prepared THDT was placed on the chlorine surface-modified *** present environment-friendly nanocatalyst intensely accelerated the synthesis of highly functionalized tetra-hydrobenzo[b]pyran derivatives as well as reduced the reaction times and increased yields of the products.

关键词： trihydrazino-triazine porous magnetic nanocatalyst green chemistry tetrahydrobenzo[b]pyrans