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Quality Assessment of Online Patient Education Materials for Diabetic Foot

Journal of Biosciences and Medicines 2024年第9期12卷 28-41页

作者： Dana Hendie Eyman Haj-Ali Muhammad Candragupta Jihwaprani Hagar Khaled Marah Alrahal Faisal zain Mohammed Al-Zabidi Nazmus Saquib Juliann Saquib College of Medicine Sulaiman Al Rajhi University Bukaryiah Saudi Arabia

Background: The quality of online Arabic educational materials for diabetic foot syndrome (DFS) is unknown. This study evaluated Arabic websites as patients’ sources of information for DFS. Methods: The study assessed patient-related websites about DFS using a modified Ensuring Quality of Information for Patients (EQIP) tool (score 0 - 35). Specific terms were searched in Google to identify DFS websites;eligibility criteria were applied to 20 pages of search results to select the included websites. Data on country of origin, source types and subtypes, and website traffic were extracted. Additional therapeutic information regarding prevention and conservative, pharmacological, and surgical treatments was also recorded and analyzed. Results: Among 559 websites, 157 were eligible for inclusion. The median EQIP score was 16 out of 35, indicating poor quality in one of three domains (content, identification, or structure). Most sources originated from Arab countries (75.8%) were non-governmental (94.9%), and were medical information websites (46.5%). High-scoring websites were significantly more likely than low-scoring websites to describe information on prevention (30.9% vs. 2.9%, p = 0.001), conservative treatment (34.1% vs. 13%, p = 0.002), or pharmacological treatment (32.5% vs. 16.8%, p = 0.024). There were increased odds of scoring high if a website provided information on prevention (OR = 12.9, 95% CI [1.68 - 98.57], p = 0.014). Conclusion: Most Arabic online patient information on DFS is of poor quality. Quality control measures are needed to ensure accurate health information for the public.

关键词： Diabetic Foot Disease Diabetic Foot Ulcer Online Resources Patient Education Patient Education Materials

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Factors behind not using child restrain(t) among hospital employees and general population：A case control study

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World Journal of Emergency Medicine 2017年第4期8卷 269-275页

作者： Emad Siddiqui badar Afzal Ghazala Kazi Asher Feroz Rubaba Naeem Tarab Mansoor Ahreen Allana Saif Siddiqui zain Siddiqui Department of Emergency Medicine Aga Khan University Hospital Karachi Pakistan

BACKGROUND: Motor vehicle crash(MVC) related injury has been identified as a major public health concern. Child restrain(CR) seat belts can minimize the mortality and morbidity from MVC. The use for seat belts is substantially low in developing countries like Pakistan even though its use has been shown to decrease morbidity and mortality by a significant ***: This was a case control study with cases from the general population(GP) and controls from the Aga Khan University(AKU) employees in a 3:1 ratio. The study questionnaire was based on parameters like gender, education level, awareness and presence of CR and also assessed the frequency of usage, reasons for not using CR and the source of knowledge regarding CR ***: Out of 848 respondents, 212 were from AKU and 636 were from the GP. 96.7% from AKU had at least a bachelor's degree while less than half(42.6%) of those from the GP were graduate or above(P<0.001). A statistically signif icant difference was found between the two groups with drivers from AKU being generally more aware about CR and its use. 81.1% of the group from AKU compared to 59.7% from the general population were found to be aware of child restraint use(P<0.001). Media(40.6%) was found to be the most common source of information amongst the AKU ***: Most motor vehicle related injuries in children can be prevented or their severity may be reduced by the use of appropriate child restraint seat belts.

关键词： Child restrain Seat belt Injury Pakistan

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Underground blast effects on structural pounding

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Earthquake Engineering and Engineering Vibration 2022年第3期21卷 617-639页

作者： Muhammed zain Kangda Nilesh Mate Sachin Bakre School of Civil Engineering REVA UniversityBengaluru 560064India Amrutvahini College of Engineering SangamnerAhmednagar 422608India Department of Applied Mechanics Visvesvaraya National Institute of TechnologyNagpur 440010India

In the present study,actual three-dimensional structures are converted into a stick model of multi degree of-freedom(MDOF)systems for understanding the macro-behavior of *** study investigates the performance of three closely spaced,adjacent G+10,fixed-base MDOF systems with the mass aligned at the same levels and subjected to accidental underground blast *** acceleration time history of underground blast loading is generated based on past empirical *** blast charge weight varies from 10 to 75 t while keeping the charge distance constant(R=100 m).The entire formulation is solved with the MATLAB solver,using the state space form *** cases are considered,based on changing the position of the three stick *** first case considered left building rigid,middle building moderate rigid,and right building *** second assumed left building flexible,middle building rigid,and right building moderate *** third examined the left building as moderate rigid,the middle building as flexible,and the right building *** analysis of the results shows that the arrangement with low stiffness,high stiffness,and moderately stiff buildings placed to the left,middle,and right side,respectively,yields minimum structural response when compared to the other two combinations.

关键词： structural pounding building positions MDOF stick system stiffness factor blast ground motion

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Dynamic properties of fuzzy Petri net model and related analysis

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Journal of Central South University 2015年第12期22卷 4717-4723页

作者：周恺卿 Azlan Mohd zain 莫礼平 Soft Computing Research Group Faculty of ComputingUniversiti Teknologi Malaysia UTM Skudai College of Information Science and Engineering Jishou University

Fuzzy Petri net(FPN) has been extensively applied in industrial fields for knowledge-based systems or systems with *** the applications of FPN are known to be successful,the theoretical research of FPN is still at an initial *** pave a way for further study,this work explores related dynamic properties of FPN including reachability,boundedness,safeness,liveness and *** whole methodology is divided into two *** the first phase,a comparison between elementary net system(EN_system) and FPN is established to prove that the FPN is an extensive formalism of Petri nets using a backwards-compatible extension ***,current research results of dynamic properties are utilized to analyze FPN *** results illustrate that FPN model is bounded,safe,weak live and fair,and can support theoretical evidences for designing related decomposition algorithm.

关键词： fuzzy Petri net elementary net system backwards-compatible extension method dynamic properties

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Deep Learning-Based Robust DC Fault Protection Scheme for Meshed HVDC Grids

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CSEE Journal of Power and Energy Systems 2023年第6期9卷 2423-2434页

作者： Muhammad zain Yousaf Hui Liu Ali Raza Ali Mustafa the School of Electrical Engineering Guangxi UniversityNanning 530004China the School of Electrical Engineering University of LahoreLahore 39161Pakistan the School of Electrical Engineering Xi’an Jiaotong UniversityXi’an 710049China

Fast and reliable detection of faults is a significant technical challenge in transient-based protection for a modular multi-level converter(MMC)based high voltage direct current(HVDC)*** is because existing protection schemes rely heavily upon setting a complicated protective threshold,the failure of which causes high DC-fault currents in HVDC grids,and MMC is prone to such strong transient *** this context,this paper proposes a DC-line fault diagnosis technique based on a tuned long-short-term memory(LSTM)algorithm to improve the response and accuracy of transient-based *** discrete wavelet transform(DWT)extracts the transient features of DC-line voltages in the frequency-time *** healthy and faulty samples are incorporated during training even by considering the noise *** training,numerous test samples are run to evaluate the proposed algorithm’s robustness under various fault *** results show the proposed algorithm can detect DC faults and has a high recognition accuracy of 98.6%.Compared to contemporary techniques,it can perform well to identify DC-line faults because of the efficient training of characteristic features.

关键词： High voltage direct current(HVDC) longshort-term-memory(LSTM) primary protection voltage source converters(VSC)

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Reconfigurable intelligent surface-aided wireless communications: An overview

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Intelligent and Converged Networks 2022年第1期3卷 33-63页

作者： Muhammad zain Siddiqi Talha Mir Department of Electronic Engineering Tsinghua UniversityBeijing 100084China Department of Electronic Engineering Faculty of ICTBUITEMSQuetta 87300Pakistan

The reconfigurable intelligent surface(RIS)is an emerging technology,which will hopefully bring a new revolution in wireless *** RIS technology can be deployed in an indoor/outdoor environment to dynamically manipulate the propagation *** RIS consists of a large number of independently controllable passive elements,and these elements are involved in realizing high passive beamforming *** from the conventional active phased antenna array,there is no dedicated radio-frequency(RF)chain installed at the RIS to perform complex signal processing ***,it does not incur additional noise while retransmitting the incident wave,which is substantially a unique feature from the conventional wireless communication *** advantage of its working principle,RIS has been deployed in various practical *** this tutorial,at first we will review the latest advances in RIS,including the application scenarios such as the system and channel model,the information theoretic analysis,the physical realization and design,key signal processing techniques such as precoding and channel estimation,and ***,we discuss interesting future research problems for the RIS-aided communications.

关键词： reconfigurable intelligent surface(RIS) wireless communications new paradigm

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Multi-omics insights into neuronal regeneration and re-innervation

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Neural Regeneration Research 2021年第2期16卷 296-297页

作者： Muhammad zain Chauhan Sanjoy K.Bhattacharya University of Arkansas for Medical Sciences(UAMS) Little RockARUSA(Chauhan MZ)Miami Integrative Metabolomics Research CenterBascom Palmer Eye Institute Program In Biomedical Sciences and Neuroscience Graduate Program University of MiamiMiamiFLUSA

The regeneration of peripheral nervous system and central nervous system(CNS)neurons after injury remains *** have come a long way since the identification of a 37 k Da protein specific for regenerating peripheral ner... 详细信息

关键词： al. nerves insight

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LexDeep:Hybrid Lexicon and Deep Learning Sentiment Analysis Using Twitter for Unemployment-Related Discussions During COVID-19

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计算机、材料和连续体（英文） 2023年第4期75卷 1577-1601页

作者： Azlinah Mohamed Zuhaira Muhammad zain Hadil Shaiba Nazik Alturki Ghadah Aldehim Sapiah Sakri Saiful Farik Mat Yatin Jasni Mohamad zain Institute for Big Data Analytics and Artificial Intelligence Universiti Teknologi MARA(UiTM)Shah AlamMalaysia College of Computer and Information Sciences Princess Nourah bint Abdulrahman UniversityRiyadhSaudi Arabia Faculty of Computer and Mathematical Sciences Universiti Teknologi MARA(UiTM)Shah AlamMalaysia

The COVID-19 pandemic has spread globally,resulting in financialinstability in many countries and reductions in the per capita grossdomestic *** analysis is a cost-effective method for acquiringsentiments based on household income loss,as expressed on social ***,limited research has been conducted in this domain using theLexDeep *** study aimed to explore social trend analytics usingLexDeep,which is a hybrid sentiment analysis technique,on Twitter to capturethe risk of household income loss during the COVID-19 ***,tweet data were collected using Twint with relevant keywords before(9 March2019 to 17 March 2020)and during(18 March 2020 to 21 August 2021)***,the tweets were annotated using VADER(lexiconbased)and fed into deep learning classifiers,and experiments were conductedusing several embeddings,namely simple embedding,Global Vectors,andWord2Vec,to classify the sentiments expressed in the *** performanceof each LexDeep model was evaluated and compared with that of a supportvector machine(SVM).Finally,the unemployment rates before and duringCOVID-19 were analysed to gain insights into the differences in unemploymentpercentages through social media input and *** resultsdemonstrated that all LexDeep models with simple embedding outperformedthe *** confirmed the superiority of the proposed LexDeep modelover a classical machine learning classifier in performing sentiment analysistasks for domain-specific *** terms of the risk of income loss,the unemployment issue is highly politicised on both the regional and globalscales;thus,if a country cannot combat this issue,the global economy will alsobe *** research should develop a utility maximisation algorithmfor household welfare evaluation,given the percentage risk of income lossowing to COVID-19.

关键词： Sentiment analysis sentiment lexicon machine learning imbalanced data deep learning method unemployment rate

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Designing Bayesian New Group Chain Sampling Plan For Quality Regions

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Computers, Materials & Continua 2022年第2期70卷 4185-4198页

作者： Waqar Hafeez Nazrina Aziz Zakiyah zain Nur Azulia Kamarudin School of Quantitative of Sciences Universiti Utara MalaysiaSintok06010Malaysia Institute of Strategic Industrial Decision Modelling(ISIDM) Universiti Utara MalaysiaSintok06010Malaysia

Acceptance sampling is a well-established statistical technique in quality *** sampling is used to decide,acceptance or rejection of a lot based on the inspection of its random *** concur that the Bayesian approach is the best approach to make a correct decision,when historical knowledge is *** paper suggests a Bayesian new group chain sampling plan(BNGChSP)to estimate average probability of *** distribution function is used to differentiate between defective and non-defective *** distribution is considered as a suitable prior *** is completed for the estimation of the average proportion of *** study includes four quality regions namely:(i)probabilistic quality region(PQR),(ii)quality decision region(QDR),(iii)limiting quality region(LQR),and(iv)indifference quality region(IQR).The estimated values for the BNGChSPare tabulated and the inflection point values are derived,based on different combinations of design parameters including both consumer’s and producer’s *** comparison with the existing plan,the operating characteristic curves expose that BNGChSP is a better substitute for industrial practitioners.

关键词： Binomial beta distribution consumer’s risk producer’s risk quality region

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Bayesian Group Chain Sampling Plan for Poisson Distribution with Gamma Prior

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Computers, Materials & Continua 2022年第2期70卷 3891-3902页

作者： Waqar Hafeez Nazrina Aziz Zakiyah zain Nur Azulia Kamarudin School of Quantitative Sciences Universiti Utara MalaysiaUUM Sintok06010KedahMalaysia Institute of Strategic Industrial Decision Modelling(ISIDM) Universiti Utara MalaysiaUUM Sintok06010KedahMalaysia

Acceptance sampling is a statistical quality control technique that consists of procedures for sentencing one or more incoming lots of finished *** or rejection is based on the inspection of sampled products drawn randomly from the *** theory of previous acceptance sampling was built upon the assumption that the process from which the lots are produced is stable and the process fraction nonconforming is a *** variability is inevitable due to random fluctuations,which may inadvertently lead to quality *** an alternative to traditional sampling plans,Bayesian approach can be used by considering prior information of the *** different combinations of design parameters,this study introduces a Bayesian group chain sampling plan(BGChSP).For the first time in group chain sampling plan,the probability of lot acceptance is derived by using Poisson distribution to estimate an average number of *** distribution is used as a prior distribution with Poisson *** into account both consumer’s and producer’s risks,this research considers two quality regions namely,probabilistic quality region(PQR)and indifference quality region(IQR).By minimizing consumer’s and producer’s risks,BGChSP can be used to minimize the average number of defective products in industry.

关键词： Bayesian acceptance sampling gamma produce risk consumer risk

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