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Zinc oxide nanoparticles accelerate the healing of methicillin-resistant Staphylococcus aureus(MRSA)-infected wounds in rabbits

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Asian Pacific Journal of Tropical Biomedicine 2023年第11期13卷 488-496,I0002页

作者： Muhammad Asif Ayesha Safdar Chaudhry Ambreen Ashar hamad bin rashid Muhammad Hassan Saleem Hassaan bin Aslam Abdul Aziz Department of Veterinary Surgery University of Veterinary and Animal SciencesLahorePunjabPakistan TECS Department Wilson College of TextilesNC State UniversityRaleigh 27606USA Department of Veterinary Medicine University of Veterinary and Animal SciencesLahorePunjabPakistan Institute of Microbiology University of Veterinary and Animal SciencesLahorePunjabPakistan Department of Veterinary Clinical Sciences University of PoonchRawalakot 12350Pakistan

Objective:To synthesize zinc oxide nanoparticles(ZnONPs)and evaluate their antibacterial and wound healing effects against wounds infected with methicillin-resistant Staphylococcus aureus(MRSA).Methods:ZnONPs were prepared by sol-gel method and characterized by X-ray diffraction(XRD)analysis and scanning electron microscopy(SEM).A total of 18 rabbits were divided into three groups:the ZnONPs group,the gentamicin group and the control group.A wound of 3 cm^(2) was inflicted on each rabbit and contaminated with MRSA *** was started from the fourth day *** healing,microbiological analysis,and histopathological analysis were performed to assess the efficacy of ZnONPs ***:XRD analysis confirmed the hexagonal wurtzite structure of the ZnONPs with an average crystallite size of 29.23 *** revealed discoid-shaped ZnONPs with a rough surface and an average size of 48.36 ***-dispersive X-ray analysis confirmed the purity of ***,the particle size ranged from 100-700 nm with a high agglomeration *** with ZnONPs promoted MRSA-infected wound *** addition,ZnONPs showed a good antibacterial effect as evidenced by a dose-dependent increase in the zone of ***:ZnONPs accelerate the healing of MRSA-infected ***,it can be explored for the treatment of MRSA infection.

关键词： MRSA Wound healing ZnO Nanoparticles Ointment

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Critical analysis of key determinants and barriers to digital innovation adoption among architectural organizations

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Frontiers of Architectural Research 2014年第4期3卷 431-451页

作者： Runddy Ramilo Mohamed rashid bin Embi Department of Architecture Faculty of Built Environment University of Technology Malaysia Johor 81310Malaysia

The development and use of design technology for architecture in the modem world have ted to the emergence of various design methodologies. Current design research has focused on a computationaUy mediated design process. This method is essentially concerned with finding forms and building performance simulation, i.e., structural, environmental, constructional, and cost performance, by integrating physics and algorithms. From the emergence of this process, design practices have been increasingly aided by and dependent on the technology, which has resulted in a major paradigm shift. Advancement of the new technology has the potential to improve design and productivity dramatically. However, related literature shows that substantial technical and organizational barriers exist. These barriers inhibit the effective adoption of these technologies. The effect of these obstacles on architectural practice varies depending on the size of an architectural organization. To further understand the problem, we conducted an in-depth study on several small, medium, and large architectural organizations. This study involves in-depth evaluation of technological, financial, organizational, governmental, psychological, and process barriers encountered in the adoption of digital innovation. Results reveal relevant attributes and patterns of variables, which can be used to establish a framework for digital innovation adoption. Valuable findings of this study reveal that smatter architectural organizations present more barriers to digital innovation compared with their larger counterparts. This study is important because it contributes to the research on digital innovation in architecture and addresses the barriers faced by different sizes of architectural organizations.

关键词： Disital innovation Architectural organizations Technologies Digital innovation barriers

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Evolution of Islamic geometric patterns

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Frontiers of Architectural Research 2013年第2期2卷 243-251页

作者： Yahya Abdullahi Mohamed rashid bin Embi Faculty of Built Environment Universiti Teknologi Malaysia Johor 81310 Malaysia

This research demonstrates the suitability of applying Islamic geometrical patterns （IGPs） to architectural elements in terms of time scale accuracy and style matching. To this end, a detailed survey is conducted on the decorative patterns of 100 surviving buildings in the Muslim architectural world. The patterns are analyzed and chronologically organized to determine the earliest surviving examples of these adorable ornaments. The origins and radical artistic movements throughout the history of IGPs are identified. With consideration for regional impact, this study depicts the evolution of IGPs, from the early stages to the late 18th century.

关键词： Islamic geometrical patterns Islamic art Islamic architecture History of Islamicarchitecture History ofarchitecture

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Smart Objects Identification System for Robotic Surveillance

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International Journal of Automation and computing 2014年第1期11卷 59-71页

作者： Amir Akramin Shafie Azhar bin Mohd Ibrahim Muhammad Mahbubur rashid Department of Mechatronics Engineering Faculty of EngineeringInternational Islamic University Malaysia

Video surveillance is an active research topic in computer *** this paper,humans and cars identifcation technique suitable for real time video surveillance systems is *** technique we proposed includes background subtraction,foreground segmentation,shadow removal,feature extraction and *** feature extraction of the extracted foreground objects is done via a new set of afne moment invariants based on statistics method and these were used to identify human or *** the partial occlusion occurs,although features of full body cannot be extracted,our proposed technique extracts the features of head *** proposed technique can identify human by extracting the human head-shoulder up to 60%–70%***,it has a better classifcation to solve the issue of the loss of property arising from human occluded easily in practical *** whole system works at approximately 16 29 fps and thus it is suitable for real-time *** accuracy for our proposed technique in identifying human is very good,which is 98.33%,while for cars identifcation,the accuracy is also good,which is 94.41%.The overall accuracy for our proposed technique in identifying human and car is at 98.04%.The experiment results show that this method is efective and has strong robustness.

关键词： Humans and cars identifcation partially occluded human afne moment invariants video surveillance systems machine vision

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Flexible pavement longitudinal joint quality evaluation using non-destructive testing

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Journal of Road Engineering 2024年第2期4卷 189-202页

作者： hamad bin Muslim Syed Waqar Haider Lev Khazanovich Department of Civil and Environmental Engineering Michigan State UniversityEast LansingMI 48824USA Department of Civil and Environmental Engineering University of PittsburghPittsburghPA 15261USA

Longitudinal joint construction quality is critical to the life of flexible *** deteriorated longitudinal joints has become a challenge for many highway *** the joint's quality through better compaction during construction can help achieve flexible pavements with longer service lives and less *** quality control(QC)and quality assurance(QA)plans provide limited ***,the risk of missing areas with poor joint compaction is significant.A density profiling system(DPS)is a non-destructive alternative to conventional destructive evaluation *** can provide quick and continuous real-time coverage of the compaction during construction in *** paper presents several case studies comparing various types of longitudinal joints and demonstrating the use of DPS to evaluate the joint's compaction *** paper shows that dielectric measurements can provide valuable insight into the ability of various construction techniques to achieve adequate levels of compaction at the longitudinal *** paper proposes a dielectric-based longitudinal joint quality index(LJQI)to evaluate the relative compaction of the joint during *** also shows that adopting DPS for assessing the compaction of longitudinal joints can minimize the risk of agencies accepting poorly constructed joints,identify locations of poor quality during construction,and achieve better-performing flexible pavements.

关键词： Sustainable pavements Dielectric/density profiling system Quality assurance Non-destructive testing Asphalt longitudinal joint

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Cache in fog computing design,concepts,contributions,and security issues in machine learning prospective

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Digital Communications and Networks 2023年第5期9卷 1033-1052页

作者： Muhammad Ali Naeem Yousaf bin Zikria rashid Ali Usman Tariq Yahui Meng Ali Kashif Bashir School of Science Guangdong University of Petrochemical TechnologyMaoming525000China Department of Information and Communication Engineering Yeungnam UniversityGyeongsan38541Republic of Korea Department of Information and Communication Technologies Universitat Pompeu FabraBarcelonaSpain College of Computer Engineering and Sciences Prince Sattam Bin Abdulaziz UniversityAl-Kharj11942Saudi Arabia Department of Computing and Mathematics Manchester Metropolitan UniversityManchesterUnited Kingdom Woxsen School of Business Woxsen UniversityHyderabadIndia Department of Computer Science and Mathematics Lebanese American UniversityBeirutLebanon

The massive growth of diversified smart devices and continuous data generation poses a challenge to communication *** deal with this problem,communication networks consider fog computing as one of promising technologies that can improve overall communication *** brings on-demand services proximate to the end devices and delivers the requested data in a short *** computing faces several issues such as latency,bandwidth,and link utilization due to limited resources and the high processing demands of end *** this end,fog caching plays an imperative role in addressing data dissemination *** study provides a comprehensive discussion of fog computing,Internet of Things(IoTs)and the critical issues related to data security and dissemination in fog ***,we determine the fog-based caching schemes and contribute to deal with the existing issues of fog ***,this paper presents a number of caching schemes with their contributions,benefits,and challenges to overcome the problems and limitations of fog *** also identify machine learning-based approaches for cache security and management in fog computing,as well as several prospective future research directions in caching,fog computing,and machine learning.

关键词： Internet of things Cloud computing Fog computing Caching Latency

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The Investigation of the Fractional-View Dynamics of Helmholtz Equations Within Caputo Operator

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Computers, Materials & Continua 2021年第9期68卷 3185-3201页

作者： rashid Jan Hassan Khan Poom Kumam Fairouz Tchier Rasool Shah Haifa bin Jebreen Department of Mathematics and Statistics Bacha Khan UniversityCharsadda24420Pakistan Department of Mathematics Abdul Wali Khan UniversityMardan23200Pakistan Department of Mathematics Near East University TRNCMersin10Turkey Center of Excellence in Theoretical and Computational Science(TACS-CoE)&Department of Mathematics Faculty of ScienceKing Mongkut’s University of Technology Thonburi(KMUTT)126 Pracha-Uthit RoadBang ModThung Khru10140BangkokThailand Department of Medical Research China Medical University HospitalChina Medical UniversityTaichung 40402Taiwan Mathematics Department King Saud UniversityRiyadhSaudi Arabia

It is eminent that partial differential equations are extensively meaningful in physics,mathematics and *** phenomena are formulated with partial differential equations and are solved analytically or numerically to interrogate the system’s dynamical *** the present research,mathematical modeling is extended and the modeling solutions Helmholtz equations are discussed in the fractional view of ***,the Helmholtz equations are presented in Caputo’s fractional *** Natural transformation,along with the decomposition method,is used to attain the series form solutions of the suggested *** justification of the proposed technique,it is applied to several numerical *** graphical representation of the solutions shows that the suggested technique is an accurate and effective technique with a high convergence rate than other *** less calculation and higher rate of convergence have confirmed the present technique’s reliability and applicability to solve partial differential equations and their systems in a fractional framework.

关键词： Fractional-order Helmholtz equations fractional calculus natural transform decomposition method analytic solution

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Prediction Models for COVID-19 Integrating Age Groups, Gender, and Underlying Conditions

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Computers, Materials & Continua 2021年第6期67卷 3009-3044页

作者： Imran Ashraf Waleed SAlnumay rashid Ali Soojung Hur Ali Kashif Bashir Yousaf bin Zikria Department of Information and Communication Engineering Yeungnam UniversityGyeongsan-si38541Korea Department of Computer Science King Saud UniversityRiyadhSaudi Arabia School of Intelligent Mechatronics Engineering Sejong UniversityKorea Department of Computing and Mathematics Manchester Metropolitan UniversityManchesterUnited Kingdom

The COVID-19 pandemic has caused hundreds of thousands of deaths,millions of infections worldwide,and the loss of trillions of dollars for many large *** poses a grave threat to the human population with an excessive number of patients constituting an unprecedented challenge with which health systems have to *** from many domains have devised diverse approaches for the timely diagnosis of COVID-19 to facilitate medical *** the same vein,a wide variety of research studies have investigated underlying medical conditions for indicators suggesting the severity and mortality of,and role of age groups and gender on,the probability of COVID-19 *** study aimed to review,analyze,and critically appraise published works that report on various factors to explain their relationship with *** studies span a wide range,including descriptive analyses,ratio analyses,cohort,prospective and retrospective *** studies that describe indicators to determine the probability of infection among the general population,as well as the risk factors associated with severe illness and mortality,are critically analyzed and these ndings are discussed in detail.A comprehensive analysis was conducted on research studies that investigated the perceived differences in vulnerability of different age groups and genders to severe outcomes of *** incorporating important demographic,health,and socioeconomic characteristics are highlighted to emphasize their ***,the lack of an appropriated dataset that contains demographic,personal health,and socioeconomic information implicates the efcacy and efciency of the discussed *** are overstated on the part of both exclusion of quarantined and patients with mild symptoms and inclusion of the data from hospitals where the majority of the cases are potentially ill.

关键词： COVID-19 age&gender vulnerability for COVID-19 machine learning-based prognosis COVID-19 vulnerability psychological factors prediction of COVID-19

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TelG Mote: A Green Wireless Sensor Node Platform for Smart Home and Ambient Assisted Living

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Journal of Electronic Science and Technology 2016年第3期14卷 211-219页

作者： Mohd Rozaini bin Abd Rahim Rozeha A.rashid Norsheila Fisal Zubair Khalid Abdul Hadi Fikri Abd Hamid Universiti Teknologi Malaysia

The wireless sensor network （WSN） consists of sensor nodes that interact with each other to collectively monitor environmental or physical conditions at different locations for the intended users. One of its potential deployments is in the form of smart home and ambient assisted living （SHAAL）to measure patients or elderly physiological signals, control home appliances, and monitor home. This paper focuses on the development of a wireless sensor node platform for SHAAL application over WSN which complies with the IEEE 802.15.4 standard and operates in 2.4 GHz ISM （industrial, scientific, and medical） band. The initial stage of SHAAL application development is the design of the wireless sensor node named TelG mote. The main features of TelG mote contributing to the green communications include low power consumption, wearable, flexible, user-friendly, and small sizes. It is then embedded with a self-built operating system named WiseOS to support customized operation. The node can achieve a packet reception rate （PRR） above 80% for a distance of up to 8 m. The designed TelG mote is also comparable with the existing wireless sensor nodes available in the market.

关键词： Smart home and ambient assisted living wireless sensor network wireless sensor node.

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Nodule Detection Using Local binary Pattern Features to Enhance Diagnostic Decisions

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Computers, Materials & Continua 2024年第3期78卷 3377-3390页

作者： Umar rashid Arfan Jaffar Muhammad rashid Mohammed S.Alshuhri Sheeraz Akram Faculty of Computer Science and Information Technology The Superior UniversityLahore54600Pakistan Intelligent Data Visual Computing Research(IDVCR) Lahore54600Pakistan Department of Computer Science National University of TechnologyIslamabad45000Pakistan Department of Radiological Sciences and Medical Imaging College of AppliedMedical SciencesPrince Sattam Bin Abdulaziz UniversityAl-Kharj16278Saudi Arabia Information Systems Department College of Computer and Information SciencesImam Mohammad Ibn Saud Islamic University(IMSIU)Riyadh12571Saudi Arabia

Pulmonary nodules are small, round, or oval-shaped growths on the lungs. They can be benign (noncancerous) or malignant (cancerous). The size of a nodule can range from a few millimeters to a few centimeters in diameter. Nodules may be found during a chest X-ray or other imaging test for an unrelated health problem. In the proposed methodology pulmonary nodules can be classified into three stages. Firstly, a 2D histogram thresholding technique is used to identify volume segmentation. An ant colony optimization algorithm is used to determine the optimal threshold value. Secondly, geometrical features such as lines, arcs, extended arcs, and ellipses are used to detect oval shapes. Thirdly, Histogram Oriented Surface Normal Vector (HOSNV) feature descriptors can be used to identify nodules of different sizes and shapes by using a scaled and rotation-invariant texture description. Smart nodule classification was performed with the XGBoost classifier. The results are tested and validated using the Lung Image Consortium Database (LICD). The proposed method has a sensitivity of 98.49% for nodules sized 3–30 mm.

关键词： Pulmonary nodules segmentation histogram thresholding

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