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An Eigenspace Method for Detecting Space-Time Disease Clusters with Unknown Population-Data

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Computers, Materials & Continua 2022年第1期70卷 1945-1953页

作者： Sami Ullah Nurul Hidayah Mohd Nor Hanita Daud Nooraini Zainuddin hadi Fanaee-T Alamgir Khalil Department of Fundamental&Applied Sciences Universiti Teknologi PETRONASSeri Iskandar32610PerakMalaysia Center for Applied Intelligent Systems Research(CAISR) Halmstad UniversityHalmstadSE-30118Sweden Department of Statistics University of PeshawarPakistan

Space-time disease cluster detection assists in conducting disease surveillance and implementing control *** state-of-the-art method for this kind of problem is the Space-time Scan Statistics(SaTScan)which has limitations for non-traditional/non-clinical data sources due to its parametric model assumptions such as Poisson orGaussian *** this problem,an Eigenspace-based method called Multi-EigenSpot has recently been proposed as a nonparametric ***,it is based on the population counts data which are not always available in the least developed *** addition,the population counts are difficult to approximate for some surveillance data such as emergency department visits and over-the-counter drug sales,where the catchment area for each hospital/pharmacy is *** extend the population-based Multi-EigenSpot method to approximate the potential disease clusters from the observed/reported disease counts only with no need for the population *** proposed adaptation uses an estimator of expected disease count that does not depend on the population *** proposed method was evaluated on the real-world dataset and the results were compared with the population-based methods:Multi-EigenSpot and *** result shows that the proposed adaptation is effective in approximating the important outputs of the population-based methods.

关键词： Space-time disease clusters Eigenspace method nontraditional data sources nonparametric methods

A Sliding Mode Controller Based on Robust Model Reference Adaptive Proportional-integral Control for Stand-alone Three-phase Inverter

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Journal of Modern Power Systems and Clean Energy 2021年第3期9卷 668-678页

作者： hadi Esmaeili Mehdi Asadi Arak University of Technology ArakIran

This paper proposes a sliding mode controller based on robust model reference adaptive proportional-integral(RMRA-PI)control for a stand-alone voltage source inverter(SA-VSI).The proposed controller has two control loops where the coefficients of PI controller are regulated by the adaptive sliding *** method is used to regulate the output voltage of the inverter under different load conditions and uncertainty,and adapts the output to the reference model to reduce the total harmonic distortion(THD).In this paper,the stability of the proposed controller is proven by using Lyapunov's theory and Barbalet’s *** proposed controller performs well in voltage regulation such as low THD under sudden load change and ***,the results of the proposed controller are compared with PI controller to show the effectiveness of the presented control system.

关键词： Robust model reference adaptive proportional-integral(RMRA-PI)control stand-alone inverter three-phase inverter voltage control Lyapunov's theory

Uncertainty propagation in dynamics of composite plates: A semi-analytical non-sampling-based approach

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Frontiers of Structural and Civil Engineering 2020年第6期14卷 1359-1371页

作者： Mahdi FAKOOR hadi PARVIZ Faculty of New Sciences and Technologies University o f TehranTehran 14395-1561Iran

In this study,the influences of spatially varying stochastic properties on free vibration analysis of composite plates were investigated via development of a new approach named the deterministic-stochastic Galerkin-based semi-analytical *** material properties including tensile modulus,shear modulus,and density of the plate were assumed to be spatially varying and *** fields with first-order Markov kernels were utilized to define the aforementioned material *** stochastic fields were decomposed via application of the K arhunen-Loeve theorem.A first-order shear deformation theory was assumed,following which the displacement field was defined using admissible trigonometric modes to derive the potential and kinetic *** stochastic equations of motion of the plate were obtained using the variational *** deterministic-stochastic Galerkin-based method was utilized to find the probability space of natural frequencies,and the corresponding mode shapes of the plate were determined using a polynomial chaos *** proposed method significantly reduced the size of the mathematical models of the structure,which is very useful for enhancing the computational efficiency of stochastic *** methodology was verifed using a stochastic finite element method and the available results in *** sensitivity of natural frequencies and corresponding mode shapes due to the uncertainty of material properties was investigated,and the results indicated that the higher-order modes are more sensitive to uncertainty propagation in spatially varying properties.

关键词： composite plate spatially varying stochastic properties Galerkin method polynomial chaos approach semi-analytical approach

Evaluating the effect of montelukast tablets on respiratory complications in patients following blunt chest wall trauma:A double-blind,randomized clinical trial

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Chinese Journal of Traumatology 2023年第2期26卷 116-120页

作者： Soleyman Heydari hadi Khoshmohabat Ali Taheri Akerdi Fathollah Ahmadpour Shahram Paydar Department of Surgery Baqiyatallah University of Medical SciencesTehranIran Trauma Research Center Baqiyatallah University of Medical SciencesTehranIran Trauma Research Center Shahid Rajaee(Emtiaz)Trauma HospitalShiraz University of Medical SciencesShirazIran

Purpose:Patients with multiple traumas are at high risk of developing respiratory complications,including pneumonia and acute respiratory distress *** pulmonary complications are associated with systemic inflammation and pulmonary neutrophilic ***-receptor antagonists are anti-inflammatory and anti-oxidant drugs subsiding airway *** present study investigates the effectiveness of montelukast in reducing pulmonary complications among trauma ***:This randomized,double-blind,placebo-control trial was conducted in patients with multiple blunt traumas and evidence of lung contusion detected via CT *** excluded patients if they met at least one of the following conditions: 0.05).At the end of the study,the mean (SD) of pulmonary contusion volume (mm3) (right side = 116748.74 (361705.12),left side = 64522.03 (117266.17)) of the treatment group were comparable to that of the placebo group (right side = 40051.26 (64081.56),left side = 25929.12 (47417.13),p = 0.228 and 0.082,respectively).Moreo

关键词： Acute respiratory distress syndrome Montelukast Leukotrienes Contusions Injuries

An Influence Statistic For Linear Measurement Error Models

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Acta Mathematicae Applicatae Sinica 2017年第3期33卷 619-632页

作者： hadi EMAMI Department of statistics University of ZanjanZanjanIran

Detection of multiple outliers or subset of influential points has been rarely considered in the linear measurement error models. In this paper a new influence statistic for one or a set of observations is generalized and characterized based on the corrected likelihood in the linear measurement error models. This influence statistic can be expressed in terms of the residuals and the leverages of linear measurement error regression. Unlike Cook＇s statistic, this new measure of influence has asymptotically normal distribution and is able to detect a subset of high leverage outliers which is not identified by Cook＇s statistic. As an illustrative example, simulation studies and a real data set are analysed.

关键词： cook's statistic corrected likelihood diagnostics leverages outlier

Data-driven estimation of joint roughness coefficient

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Journal of Rock Mechanics and Geotechnical Engineering 2021年第6期13卷 1428-1437页

作者： hadi Fathipour-Azar Faculty of Mining Engineering Petroleum and GeophysicsShahrood University of TechnologyShahroodIran

Joint roughness is one of the most important issues in the hydromechanical behavior of rock ***,the joint roughness coefficient(JRC)estimation is of paramount importance in geomechanics engineering *** show that the application of statistical parameters alone may not produce a sufficiently reliable estimation of the JRC ***,alternative data-driven methods are proposed to assess the JRC *** this study,Gaussian process(GP),K-star,random forest(RF),and extreme gradient boosting(XGBoost)models are employed,and their performance and accuracy are compared with those of benchmark regression formula(i.e.Z2,Rp,and SDi)for the JRC *** analyze the models’performance,112 rock joint profile datasets having eight common statistical parameters(R_(ave),R_(max),SD_(h),iave,SD_(i),Z_(2),R_(p),and SF)and one output variable(JRC)are utilized,of which 89 and 23 datasets are used for training and validation of models,*** interpretability of the developed XGBoost model is presented in terms of feature importance ranking,partial dependence plots(PDPs),feature interaction,and local interpretable model-agnostic explanations(LIME)*** of results show that machine learning models demonstrate higher accuracy and precision for estimating JRC values compared with the benchmark empirical equations,indicating the generalization ability of the data-driven models in better estimation accuracy.

关键词： Joint roughness coefficient(JRC) Statistical parameters Gaussian process(GP) K-star Random forest(RF) Extreme gradient boosting(XGBoost) Correlation Machine learning(ML) Sensitivity analysis

FAIR Versus Open Data: A Comparison of Objectives and Principles

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Data Intelligence 2022年第4期4卷 867-881,1037页

作者： Putu hadi Purnama Jati Yi Lin Sara Nodehi Dwy Bagus Cahyono Mirjam van Reisen Leiden University 2333 CA Leidenthe Netherlands Politeknik Statistika STIS Tilburg University P.O.Box 901535000the Netherlands Leiden University Medical Centre(LUMC) Leiden University1310 Leidenthe Netherlands

This article assesses the difference between the concepts of ‘open data’ and ‘FAIR data’ in data management. FAIR data is understood as data that complies with the FAIR Guidelines—data that is Findable, Accessible, Interoperable and Reusable—while open data was born out of awareness of the need to democratise data by improving its accessibility, based on the idea that data should not have limitations that prevent people from using it. This study compared FAIR data with open data by analysing relevant documents using a coding analysis with conceptual labels based on Kingdon’s theory of agenda setting. The study found that in relation to FAIR data the problem stream focuses on the complexity of data collected for research, while open data primarily emphasises giving the public access to non-confidential data. In the policy stream, the two concepts share common standpoints in terms of making data available and reusable, although different approaches are adopted in practice to accomplish these goals. In the politics stream, stakeholders with different objectives support FAIR data and from those who support open data.

关键词： FAIR Guidelines FAIR data Open data Data management

Can Social Media be Used to Control Academic Stress?An Application of the Theory of Planned Behavior

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International Journal of Mental Health Promotion 2022年第1期24卷 25-38页

作者： Maliheh Shadi Nooshin Peyman Ali Taghipour Alireza Jafari hadi Tehrani Department of Health Education&Health Promotion School of HealthStudent Research CommitteeMashhad University of Medical SciencesMashhad13131-99137Iran Health Education&Health Promotion Social Determinants of Health Research CenterMashhad University of Medical SciencesMashhad13131-99137Iran Epidemiology Social Determinants of Health Research CenterMashhad University of Medical SciencesMashhad13131-99137Iran Social Determinants of Health Research Center Gonabad University of Medical SciencesGonabadIran

The present study was conducted aiming at investigating the effect of social media-based intervention according to the Theory of Planned Behavior(TPB)to control the academic stress of the *** study comes in two descriptive and quasi-experimental sections in the Academic Year *** order to determine the effect of planned behavioral constructs on stress levels,the descriptive study was conducted on 320 *** quasiexperimental study was organized to determine the effect of a social media-based educational intervention on the TPB on 180 *** collection was conducted through questionnaires of personal information,Gadzella’s Student-Life Stress Inventory,and researcher-made questionnaire based on the TPB,with a confirmed validity and *** predicted 15.1%of the variance of academic stress among students and the perceived behavioral control construct had the most significant effect(p<0.001).The mean score of knowledge and subject norms in the experimental group was significantly increased during the study(p<0.05).The social media intervention could reduce the students’academic stress to some extent and lead to the student’s subject norms development.

关键词： Academic stress social media students

Histogram of the node strength and histogram of the edge weight: two new features for RGB-D person re-identification

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Science China(Information Sciences) 2018年第9期61卷 112-125页

作者： Zeynab IMANI hadi SOLTANIZADEH Electrical and Computer Engineering Faculty Semnan Univercity

Person re-identification is a classical task for any multi-camera surveillance system. Most of the existing researches on re-identification are based on features extracted from RGB images. However,there are many deficiencies in RGB image processing, some of which are requiring a lot of illumination and high computation. In this paper, novel features are proposed for RGB-D person re-identification. First, the complex network approach in texture recognition is modified and its threshold function is changed for using in depth images extracted by RGB-D sensors. Then, two novel measurements named the histogram of the edge weight(HEW) and the histogram of the node strength(HNS) are introduced on complex *** features fit both single-shot and multi-shot person re-identification. In the single-shot case, the HNS is extracted from only one frame while for the multi-shot case it is extracted from both one frame and multi-frames. These proposed measurements are called histogram of the spatial node strength(HSNS)and histogram of the temporal node strength(HTNS) respectively. Subsequently, these measurements are combined with skeleton features using score-level fusion. The method is evaluated using two benchmark databases and the results show that ours outperforms some state-of-the-art methods.

关键词： complex network edge weight graph node strength person re-identification skeleton features