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Diagnostic Delay and Associated Clinical Features of Tuberculosis among Adult Patients with Acute Myeloid Leukemia in Doha, Qatar

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Journal of Tuberculosis Research 2018年第1期6卷 49-62页

作者： Halima El Omri Ruba Taha Wanis Ibrahim Nancy Kassem Lajos Szabados Hesham El sabah Fatma Ben Abid Amna Gamiel Aisha Al Khinji Wojciech Szmeigielski saba hasan Ibrahim Al Hijji Hematology and Medical Oncology Hamad Medical Corporation Doha Qatar Internal Medicine Hamad Medical Corporation Doha Qatar Clinical Pharmacy NCCCR Hamad Medical Corporation Doha Qatar Nuclear Medicine and PET-CT Hamad Medical Corporation Doha Qatar Infection Disease Hamad Medical Corporation Doha Qatar Radiology NCCCR Hamad Medical Corporation Doha Qatar

Background: Tuberculosis is currently the world’s leading cause of death arising from a single infectious condition. While T cell mediated immunity is recognized to have a major contribution to tuberculosis activation, the present investigation confirmed that TB was more prevalent among patients with acute myeloid rather than lymphoid leukemia and such association was frequently overlooked. The primary objective of this study is to estimate the diagnostic delay of tuberculosis among patients with acute myeloid leukemia (AML) and compare it to the general population in Qatar. Secondary objective is to study the clinical and epidemiologic characteristics of tuberculosis in patients with AML. Methods: This is a retrospective study of tuberculosis cases diagnosed in subjects with AML during the period from January 2008 till December 2016. Results: Among 215 subjects with AML identified during the study period, 12 (5.58%) received the diagnosis of tuberculosis. The estimated incidence of tuberculosis among AML cases was 7.14 cases per 1000 per year. The mean delay in diagnosis of tuberculosis was 64.2 days (95% CI: 26.8 - 101.5) and the median was 45 days (interquartile range;Q1 - Q3, 29.5 - 97.5). Prolonged fever was the most common presentation (100% of cases). Parenchymal lung involvement was the most common radiologic abnormality (83.3% of cases). Three patients (25%) died and 8 patients completed 9 to 12 months of anti-tuberculous treatment with clinical and radiological remission. Conclusion: Infections caused by Mycobacterium tuberculosis are not uncommon in patients with AML especially in patients from tuberculosis endemic regions. It constitutes a diagnostic challenge so high index of suspicion is of paramount importance.

关键词： Tuberculosis Acute Myeloid Leukemia Neutropenia

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A Synergistic Multi-Attribute Decision-Making Method for Educational Institutions Evaluation Using Similarity Measures of Possibility Pythagorean Fuzzy Hypersoft Sets

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Computer Modeling in Engineering & Sciences 2025年第1期142卷 501-530页

作者： Khuram Ali Khan saba Mubeen Ishfaq Atiqe Ur Rahman Salwa El-Morsy Department of Mathematics University of SargodhaSargodha40100Pakistan Department of Mathematics University of Management and TechnologyLahore54000Pakistan Department of Mathematics College of ScienceQassim UniversityBuraydah51452Saudi Arabia

Due to the numerous variables to take into account as well as the inherent ambiguity and uncertainty,evaluating educational institutions can be *** concept of a possibility Pythagorean fuzzy hypersoft set(pPyFHSS)is more flexible in this regard than other theoretical fuzzy set-like models,even though some attempts have been made in the literature to address such *** study investigates the elementary notions of pPyFHSS including its set-theoretic operations union,intersection,complement,OR-and *** results related to these operations are also modified for ***,the similarity measures between pPyFHSSs are formulated with the assistance of numerical examples and ***,an intelligent decision-assisted mechanism is developed with the proposal of a robust algorithm based on similarity measures for solving multi-attribute decision-making(MADM)problems.A case study that helps the decision-makers assess the best educational institution is discussed to validate the suggested *** algorithmic results are compared with the most pertinent model to evaluate the adaptability of pPyFHSS,as it generalizes the classical possibility fuzzy set-like theoretical ***,while considering significant evaluating factors,the flexibility of pPyFHSS is observed through structural comparison.

关键词： Hypersoft set Pythagorean fuzzy hypersoft set computational complexity multi-attribute decision-making optimization similarity measures uncertainty

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Particle shape consideration in numerical simulation of assemblies of irregularly shaped particles

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Particuology 2011年第4期9卷 387-397页

作者： saba Abedi Ali Asghar Mirghasemi School of Civil Engineering College of Engineering University of Tehran

The mechanical behavior of granular materials depends much on the shape of the constituent particles. Therefore appropriate modeling of particle, or grain, shape is quite important. This study employed the method of direct modeling of grain shape （Matsushima ＆ Saomto, 2002）, in which, the real shape of a grain is modeled by combining arbitrary number of overlapping circular elements which are connected to each other in a rigid way. Then, accordingly, a discrete-element program is used to simulate the assembly of grains. In order to measure the effects of grain shape on mechanical properties of assembly of grains, three types of grains-high angular grains, medium angular grains and round grains are considered where several biaxial tests are conducted on assemblies with different grain types, The results show that the angularity of grains greatly affects the behavior of granular soil.

关键词： Discrete element method Granular soil Angularity Confining pressure

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ASLP-DL—A Novel Approach Employing Lightweight Deep Learning Framework for Optimizing Accident Severity Level Prediction

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Computers, Materials & Continua 2024年第2期78卷 2535-2555页

作者： saba Awan Zahid Mehmood Department of Software Engineering University of Engineering and TechnologyTaxila47050Pakistan Department of Computer Engineering University of Engineering and TechnologyTaxila47050Pakistan

Highway safety researchers focus on crash injury severity,utilizing deep learning—specifically,deep neural networks(DNN),deep convolutional neural networks(D-CNN),and deep recurrent neural networks(D-RNN)—as the preferred method for modeling accident *** learning’s strength lies in handling intricate relation-ships within extensive datasets,making it popular for accident severity level(ASL)prediction and *** prior success,there is a need for an efficient system recognizing ASL in diverse road *** address this,we present an innovative Accident Severity Level Prediction Deep Learning(ASLP-DL)framework,incorporating DNN,D-CNN,and D-RNN models fine-tuned through iterative hyperparameter selection with Stochastic Gradient *** framework optimizes hidden layers and integrates data augmentation,Gaussian noise,and dropout regularization for improved *** and factor contribution analyses identify influential *** on three diverse crash record databases—NCDB 2018–2019,UK 2015–2020,and US 2016–2021—the D-RNN model excels with an ACC score of 89.0281%,a Roc Area of 0.751,an F-estimate of 0.941,and a Kappa score of 0.0629 over the NCDB *** proposed framework consistently outperforms traditional methods,existing machine learning,and deep learning techniques.

关键词： Injury severity prediction deep learning feature

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Trustworthy Explainable Recommendation Framework for Relevancy

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Computers, Materials & Continua 2022年第12期73卷 5887-5909页

作者： saba Sana Mohammad Shoaib Department of Computer Science University of Engineering and TechnologyLahore54000Pakistan

Explainable recommendation systems deal with the problem of‘Why’.Besides providing the user with the recommendation,it is also explained why such an object is being *** helps to improve trustworthiness,effectiveness,efficiency,persuasiveness,and user satisfaction towards the *** recommend the relevant information with an explanation to the user is *** systems provide the top-k recommendation options to the user based on ratings and reviews about the required object but unable to explain the matched-attribute-based recommendation to the user.A framework is proposed to fetch the most specific information that matches the user requirements based on Formal Concept Analysis(FCA).The ranking quality of the recommendation list for the proposed system is evaluated quantitatively with Normalized Discounted Cumulative Gain(NDCG)@k,which is better than the existing *** is provided qualitatively by considering trustworthiness criterion i.e.,among the seven explainability evaluation criteria,and its metric satisfies the results of proposed *** framework can be enhanced to accommodate for more effectiveness and trustworthiness.

关键词： Explainable recommendation data analysis formal concept analysis(FCA)approach

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On Graded Betti Numbers of a Class of Graphs

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Algebra Colloquium 2018年第2期25卷 335-348页

作者： saba Yasmeen Tongsuo Wu Department of Mathematics Shanghai Jiaotong University Shanghai 200240 China

In this paper, Betti numbers are evaluated for several classes of graphs whose complements are bipartite graphs. Relations are established for the general case, and counting formulae are given in several particular ca... 详细信息

关键词： graded Betti numbers disjoint union of graphs bipartite graphs

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Profiling Casualty Severity Levels of Road Accident Using Weighted Majority Voting

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Computers, Materials & Continua 2022年第6期71卷 4609-4626页

作者： saba Awan Zahid Mehmood Hassan Nazeer Chaudhry Usman Tariq Amjad Rehman Tanzila saba Muhammad Rashid Department of Software Engineering University of Engineering and TechnologyTaxila47050Pakistan Department of Computer Engineering University of Engineering and TechnologyTaxila47050Pakistan Department of Electronics Information and BioengineeringPolitecnico di MilanoMilano20122Italy College of Computer Engineering and Sciences Prince Sattam bin Abdulaziz UniversityAl-Kharj11942Saudi Arabia College of Computer and Information Sciences Prince Sultan UniversityRiyadhSaudi Arabia Department of Computer Engineering Umm Al-Qura UniversityMakkah21421Saudi Arabia

To determine the individual circumstances that account for a road traffic accident,it is crucial to consider the unplanned connections amongst various factors related to a crash that results in high casualty *** of the road accident data concentrated mainly on categorizing accidents into different types using individually built classification methods which limit the prediction accuracy and fitness of the *** this article,we proposed a multi-model hybrid framework of the weighted majority voting(WMV)scheme with parallel structure,which is designed by integrating individually implemented multinomial logistic regression(MLR)and multilayer perceptron(MLP)classifiers using three different accident datasets i.e.,IRTAD,NCDB,and *** proposed WMV hybrid scheme overtook individual classifiers in terms of modern evaluation measures like ROC,RMSE,Kappa rate,classification accuracy,and performs better than state-of-theart approaches for the prediction of casualty severity ***,the proposed WMV hybrid scheme adds up to accident severity analysis through knowledge representation by revealing the role of different accident-related factors which expand the risk of casualty in a road *** aspects related to casualty severity recognized by the proposed WMV hybrid approach can surely support the traffic enforcement agencies to develop better road safety plans and ultimately save lives.

关键词： Prediction hybrid framework severity class casualty

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Effect of CuO Doping on the Electrical Behavior of ZrO2

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Chinese Journal of Chemistry 2007年第8期25卷 1112-1115页

作者： saba Beg SARITA POOJA Varshney Department of Chemistry Aligarh Muslim University Aligarh 202002 India

Electrical conductivity has been measured at different temperatures for ZrO2 doped with various molar ratios of CuO. The conductivity increases due to migration of vacancies, created by doping. The conductivity was found to increase with increase in temperature till 220℃ and thereafter decrease due to collapse of the fluorite framework. A second rise in conductivity around 500 ℃ was observed due to phase transition of ZrO2. X-ray powder diffraction, DTA and IR studies were carried out for confirming doping effect and phase transition in ZrO2.

关键词： oxide doping effect electrical conductivity XRD

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Assessment of Cu(Ⅱ) removal from an aqueous solution by raw Gundelia tournefortii as a new low-cost biosorbent: Experiments and modelling

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Chinese Journal of Chemical Engineering 2019年第8期27卷 1945-1955页

作者： saba Golshan Shandi Faramarz Doulati Ardejani Fereydoun Sharifi School of Mining College of EngineeringUniversity of TehranTehranIran Faculty of Mining Petroleum and GeophysicsShahrood University of TechnologyShahroodIran

Lignocellulosic materials can be used as biosorbent for refinement of the wastewaters when they are available in large quantities. Many studies were conducted to uptake Cu(Ⅱ) ion from aqueous *** this paper, the biosorption efficiency of Cu(Ⅱ) ions from a synthetic aqueous solution was investigated using Gundelia tournefortii(GT), without any pre-treatment. Fourier transform infrared spectroscopy,scanning electron microscopy and determining the point of zero charge were employed to characterise the biosorbent. Batch experiments were performed to study the influence of p H, biosorbent dosage, contact time, temperature and initial Cu(Ⅱ) concentration on Cu(Ⅱ) removal. The biosorption isotherms were investigated using the Langmuir, Freundlich, Temkin and D-R isotherm models. The findings show that the biosorption isotherm was better fitted by the Langmuir equation and the maximum adsorption capacity of GT was found to be 38.7597 mg·g^-1. The kinetics data were analysed by pseudo-first order,pseudo-second order, and intra-particle diffusion equations. The results indicate that the pseudosecond-order model was found to explain the adsorption kinetics most effectively. The values of thermodynamic parameters including Gibbs free energy(△G°), enthalpy(△H°), and entropy(△S°) demonstrate that the biosorption process was exothermic and spontaneous. The multiple nonlinear regression(MnLR)and artificial neural network(ANN) analyses were applied for the prediction of biosorption capacity. A relationship between the predicted and observed data was obtained and the results show that the Mn LR and ANN models provided successful predictions.

关键词： Adsorption Batch experiment Kinetics Isotherms Thermodynamic Multiple nonlinear regression Artificial neural network

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Enhancing pharmaceutical potential and oral bioavailability of Allium cepa nanosuspension in male albino rats using response surface methodology

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Asian Pacific Journal of Tropical Biomedicine 2022年第1期12卷 26-38页

作者： Fatiqa Zafar Nazish Jahan Shaukat Ali saba Jamil Riaz Hussain saba Aslam Department of Chemistry University of SahiwalSahiwalPakistan Department of Chemistry University of AgricultureFaisalabadPakistan Department of Chemistry University of OkaraOkaraPakistan Govt.Graduate College for Women Sargodha RoadFaisalabadPakistan

Objective:To enhance the pharmaceutical potential and oral bioavailability of quercetin contents of Allium cepa peel extract by novel nanosuspension ***:Nanoprecipitation approach was successfully used for the formulation of *** obtain pharmaceutical-grade nanosuspension with minimum particle size and polydispersity index,sodium lauryl sulphate was selected as a *** formulation parameters were statistically optimized by the response surface methodology *** optimized nanosuspension was subjected to stability and in vitro dissolution testing and characterized by scanning electron microscopy,atomic force microscopy,Fourier transform infrared spectroscopy,and zeta *** evaluate the preeminence of nanosuspension over coarse suspension,comparative bioavailability studies were carried out in male albino *** pharmaceutical potential of developed nanosuspension was evaluated by antioxidant,antimicrobial,and toxicity ***:The optimized nanosuspension showed an average particle size of 275.5 nm with a polydispersity index and zeta potential value of 0.415 and−48.8 mV,*** force microscopy revealed that the average particle size of nanosuspension was below 100 *** formulated nanosuspension showed better stability under refrigerated *** showed an improved dissolution rate and a 2.14-fold greater plasma concentration of quercetin than coarse ***,the formulated nanosuspension exhibited enhanced antioxidant and antimicrobial potential and was ***:Optimization of nanosuspension effectively improves the pharmaceutical potential and oral bioavailability of Allium cepa extract.

关键词： Allium cepa Nanoprecipitation Pharmaceutical potential Particle size Polydispersity index Stability Toxicity Quercetin

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