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Metric-Based Resolvability of Quartz Structure

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Computers, Materials & Continua 2022年第4期71卷 2053-2071页

作者： Muhammad imran Ali Ahmad Muhammad Azeem Kashif Elahi Department of Mathematical Sciences United Arab Emirates UniversityAl AinUnited Arab Emirates College of Computer Science&Information Technology Jazan University JazanSaudi Arabia Department of Aerospace Engineering Faculty of EngineeringUniversiti Putra MalaysiaMalaysia Deanship of E-learning and Information Technology Jazan UniversityJazanSaudi Arabia

Silica has three major varieties of crystalline. Quartz is the main andabundant ingredient in the crust of our earth. While other varieties are formedby the heating of quartz. Silica quartz is a rich chemical structure containingenormous properties. Any chemical network or structure can be transformedinto a graph, where atoms become vertices and the bonds are converted toedges, between vertices. This makes a complex network easy to visualize towork on it. There are many concepts to work on chemical structures in termsof graph theory but the resolvability parameters of a graph are quite advanceand applicable topic. Resolvability parameters of a graph is a way to getting agraph into unique form, like each vertex or edge has a unique identification bymeans of some selected vertices, which depends on the distance of vertices andits pattern in a particular graph. We have dealt some resolvability parametersof SiO2 quartz. We computed the resolving set for quartz structure and itsvariants, wherein we proved that all the variants of resolvability parameters ofquartz structures are constant and do not depend on the order of the graph.

关键词： Quartz polycyclic aromatic hydrocarbon related structure metric dimension metric or distance-based resolvability parameters

Wi-Fi Positioning Dataset with Multiusers and Multidevices Considering Spatio-Temporal Variations

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Computers, Materials & Continua 2022年第3期70卷 5213-5232页

作者： imran Ashraf Sadia Din Soojung Hur Yongwan Park Department of Information and Communication Engineering Yeungnam UniversityGyeongsan-si38541Korea

Precise information on indoor positioning provides a foundation for position-related customer *** the emergence of several indoor positioning technologies such as ultrawideband,infrared,radio frequency identification,Bluetooth beacons,pedestrian dead reckoning,and magnetic field,Wi-Fi is one of the most widely used ***,Wi-Fi fingerprinting is the most popular method and has been researched over the past two ***-Fi positioning faces three core problems:device heterogeneity,robustness to signal changes caused by human mobility,and device attitude,i.e.,varying *** existing methods do not cover these aspects owing to the unavailability of publicly available *** study introduces a dataset that includes the Wi-Fi received signal strength(RSS)gathered using four different devices,namely Samsung Galaxy S8,S9,A8,LG G6,and LG G7,operated by three surveyors,including a female and two *** addition,three orientations of the smartphones are used for the data collection and include multiple buildings with a multifloor *** levels of human mobility have been considered in dynamic *** analyze the time-related impact on Wi-Fi RSS,data over 3 years have been considered.

关键词： Wi-fi positioning dataset smartphone sensors benchmark analysis indoor positioning and localization spatio-temporal data

Exploiting Data Science for Measuring the Performance of Technology Stocks

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Computers, Materials & Continua 2023年第9期76卷 2979-2995页

作者： Tahir Sher Abdul Rehman Dongsun Kim imran Ihsan Department of Creative Technologies Air UniversityIslamabad44230Pakistan School of Computer Science and Engineering Kyungpook National UniversityDaegu41566Korea

The rise or fall of the stock markets directly affects investors’interest and ***,it is necessary to measure the performance of stocks in the market in advance to prevent our assets from suffering significant *** our proposed study,six supervised machine learning(ML)strategies and deep learning(DL)models with long short-term memory(LSTM)of data science was deployed for thorough analysis and measurement of the performance of the technology *** discussion are Apple Inc.(AAPL),Microsoft Corporation(MSFT),Broadcom Inc.,Taiwan Semiconductor Manufacturing Company Limited(TSM),NVIDIA Corporation(NVDA),and Avigilon Corporation(AVGO).The datasets were taken from the Yahoo Finance API from 06-05-2005 to 06-05-2022(seventeen years)with 4280 *** already noted,multiple studies have been performed to resolve this problem using linear regression,support vectormachines,deep long short-termmemory(LSTM),and many other *** this research,the Hidden Markov Model(HMM)outperformed other employed machine learning ensembles,tree-based models,the ARIMA(Auto Regressive IntegratedMoving Average)model,and long short-term memory with a robust mean accuracy score of *** statistical analyses and measurements for machine learning ensemble algorithms,the Long Short-TermModel,and ARIMA were also carried out for further investigation of the performance of advanced models for forecasting time series ***,the proposed research found the best model to be HMM,and LSTM was the second-best model that performed well in all aspects.A developedmodel will be highly recommended and helpful for early measurement of technology stock performance for investment or withdrawal based on the future stock rise or fall for creating smart environments.

关键词： Machine learning data science smart environments stocks movement deep learning stock marketing

A Transfer Learning-Based Approach to Detect Cerebral Microbleeds

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Computers, Materials & Continua 2022年第4期71卷 1903-1923页

作者： Sitara Afzal imran Ullah Khan Jong Weon Lee Mixed Reality and Interaction Lab Department of SoftwareSejong UniversitySeoul143-747Korea

Cerebral microbleeds are small chronic vascular diseases that occur because of irregularities in the cerebrum *** and elderly people with brain injury and dementia can have small microbleeds in their brains.A recent study has shown that cerebral microbleeds could be remarkably risky in terms of life and can be riskier for patients with *** this study,we proposed an efficient approach to automatically identify microbleeds by reducing the false positives in openly available susceptibility-weighted imaging(SWI)data *** proposed structure comprises two different pretrained convolutional models with four *** stages include(i)skull removal and augmentation,(ii)making clusters of data samples using the k-mean classifier,(iii)reduction of false positives for efficient performance,and(iv)transfer-learning *** proposed technique was assessed using the SWI dataset available for 20 *** our findings,we attained an accuracy of 97.26%with a 1.8%false-positive rate using data augmentation on the AlexNet transfer learning model and a 1.1%false-positive rate with 97.89%accuracy for the ResNet 50 model with data augmentation *** results show that our models outperformed the existing approach for the detection of microbleeds.

关键词： Microbleeds deep convolutional neural network ResNet50 AlexNet computer-vision

From Molecular Pathology of COVID-19 to Nigella Sativum as a Treatment Option:Scientific Based Evidence of Its Myth or Reality

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Chinese Journal of Integrative Medicine 2022年第1期28卷 88-95页

作者： Muhammad Atif Farrah Naz Junaid Akhtar Muhammad imran Sidrah Saleem Javed Akram Muhammad imran Muhammad Ikram Ullah Department of Clinical Laboratory Sciences College of Applied Medical SciencesJouf UniversitySakaka(75471)Saudi Arabia Department of Microbiology Government College UniversityFaisalabad(38000)Pakistan Department of Microbiology University of Health SciencesLahore(54600)Pakistan Department of Allied Health Sciences Sargodha Medical CollegeUniversity of SargodhaSargodha(40100)Pakistan University of Health Sciences Lahore(54600)Pakistan University Institute of Diet and Nutritional Sciences Faculty of Allied Health SciencesThe University of LahoreLahore(54590)Pakistan

COVID-19 virus is a causative agent of viral pandemic in human beings which specifically targets respiratory system of humans and causes viral *** unusual viral pneumonia is rapidly spreading to all parts of the world,currently affecting about 105 million people with 2.3 million *** review described history,genomic characteristics,replication,and pathogenesis of COVID-19 with special emphasis on Nigella sativum(***)as a treatment *** seeds are historically and religiously used over the centuries,both for prevention and treatment of different *** review summarizes the potential role of *** seeds against COVID-19 infection at levels of in silico,cell lines and animal models.

关键词： coronavirus nCoV-19 COVID-19 Nigella sativum review

Financing Strategy of Low-Carbon Supply Chain with Capital Constraint under Cap-and-Trade Regulation

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Computers, Materials & Continua 2021年第1期66卷 437-455页

作者： Changli Lu Ming Zhao imran Khan Peerapong Uthansakul School of Economics and Management Shanghai Maritime UniversityShanghai201306China School of Economics and Management Pingdingshan UniversityPingdingshan467000China Department of Electrical Engineering University of Engineering and Technology PeshawarPeshawarPakistan School of Telecommunication Engineering Suranaree University of TechnologyNakhon RatchasimaThailand

Cap-and-trade regulation provides incentives for manufacturers to reduce carbon emissions,but manufacturers’insufficient capital can disrupt the implementation of low-carbon emission reduction *** alleviate capital constraints,manufacturers can adopt external financing for low-carbon emission reduction *** paper studies the independent financing and financing cooperation behavior in a supply chain in which the manufacturer and retailer first implement low-carbon emission reduction technologies and then organize production and sales in accordance with wholesale price *** comparing the optimal profits and low-carbon emission reduction levels under the independent financing and financing cooperation mode,we come to the following conclusions:(1)Although financing interest increases the cost of the supply chain,manufacturers prefer to invest in reducing carbon emissions rather than buying carbon quotas.(2)When financing independently,a decentralized decision-making mode(MD)is the best choice for manufacturers.(3)In cooperative financing,when the supply chain adopts a decentralized decision-making mode(SD)in which the retailer determines the financing cost-sharing ratio according to their optimal profit,the profits of the supply chain and its members are significantly improved.(4)When manufacturers and retailers adopt a centralized decision-making model(SC)in cooperative financing,they jointly determine the financing cost-sharing ratio and the level of low-carbon emission *** the financing cost-sharing ratio meets a certain threshold range,the profits of manufacturers and retailers achieve Pareto improvement,indicating that this cooperative financing model is effective.

关键词： Cooperative financing cap-and-trade supply chain coordination

Rational synthesis of carbon shell coated polyaniline/ MoS2 monolayer composites for high-performance supercapacitors

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Nano Research 2016年第4期9卷 951-962页

作者： Chao Yang Zhongxin Chen imran Shakir Yuxi Xu Hongbin Lu State Key Laboratory of Molecular Engineering of Polymers Department of Macromolecular Science Collaborative Innovation Center of Polymers and Polymer Composite Materials Fudan University Shanghai 200433 China Sustainable Energy Technologies (SET) center College of Engineering King Saud University PO-BOX 800 Riyadh 11421 Kingdom of Saudi Arabia

Conducting polymers generally show high specific capacitance but suffer from poor rate capability and rapid capacitance decary which greatly limits their practical applications in supercapacitor electrodes. To this end, many studies have focused on improving the overall capacitive performance by synthesizing nanostructured conducting polymers or by depositing a range of coatings to increase the active surface area exposed to the electrolyte and enhance the charge transport efficiency and structural stability. Despite this, simultaneously achieving high specific capacitance, good rate performance, and long cycle life remains a considerable challenge. Among the various two-dimensional （2D） layered materials, octahedral （1T） phase molybdenum disulfide （MoS2） nano- sheets have high electrical conductivity, large specific surface areas, and unique surface chemical characteristics, making them an interesting substrate for the controlled growth of nanostructured conducting polymers. This paper reports the rational synthesis of carbon shell-coated polyaniline （PANI） grown on 1T MoS2 monolayers （MoS2/PANI@C）. The composite electrode comprised of MoS2/ PANI@C with a -3 nm carbon shell exhibited a remarkable specific capacitance of up to 678 F-g-1 （1 mV.s-1）, superior capacity retention of 80% after 10,000 cycles and good rate performance （81% at 10 mV.s-1） due to the multiple synergic effects between the PANI nanostructure and 1T MoS2 substrates as well as protection by the uniform thin carbon shell. These properties are comparable to the best overall capacitive performance achieved for conducting polymers-based supercapacitor electrodes reported thus far.

关键词： supercapadtor polyaniline molybdenum disulfide carbon shell cycle stability

Molecular Characterization of a Cytosolic Malate Dehydrogenase Gene（GhcMDH1） from Cotton

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Chemical Research in Chinese Universities 2017年第1期33卷 87-93页

作者： imran Muhammad ZHANG Bing TANG Kai LIU Jinyuan Laboratory of Plant Molecular Biology Center for Plant Biology School of Life Sciences Tsinghua University Beijing 100084 R R. China Institute of Botany Chinese Academy of Sciences Nanjing 210014 P R. China

Malate dehydrogenase（MDH） is a key enzyme that catalyzes the reversible oxidation of oxaloacetate to malate and plays an important role in the physiological processes of plant growth and development. However, cyto- solic malate dehydrogenase（cMDH）, which is crucial for malate synthesis in the cytosol, still has not been extensively characterized in plants. Here, we isolated a cytosolic malate dehydrogenase gene, designated as GhcMDH1, from Gossypium hirsutum and characterized its possible molecular function in cotton fiber. The cloned cDNA of GhcMDH1 is 1520 base pairs in length, and has an open reading frame of 999 base pairs, encoding for 332 amino acid residues with an estimated molecular weight of 35580 and pI of 6.35. Sequence alignment showed that the de- duced amino acid sequence of GhcMDH1 protein shared a high similarity to other plant cMDHs. Confocal and im- munological analysis confirmed that GhcMDH1 protein was subcellularly localized to the cytosol. Quantitative real-time polymerase chain reaction（PCR） revealed that GhcMDH1 was constitutively expressed in all vegetative cotton tissues, with slightly lower levels in roots than stems and leaves. Interestingly, the transcripts of GhcMDH1 were detected in 5--25 d post anthesis（DPA） fibers and highly abundant at 15 DPA fibers. The total MDH activities and malate contents of cotton fibers were positively correlated with the fiber elongation rates, suggesting that GhcMDH1 may function in malate synthesis in fast fiber elongation. In agreement with this suspicion, the recombi- nant His-GhcMDH1 protein mainly drives the reaction towards malate generation in vitro. In conclusion, our mole- cular characterization of the GhcMDH1 gene provides valuable insights to further investigate the malate equilibrium in cotton fiber development.

关键词： Cotton Cytosolic malate dehydrogenase Malate synthesis Fiber development

Design optimization of composite egg-shaped submersible pressure hull for minimum buoyancy factor

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Defence Technology（防务技术） 2021年第6期17卷 1817-1832页

作者： Muhammad imran Dongyan Shi Lili Tong Hafiz Muhammad Waqas Muqeem Uddin College of Mechanical and Electrical Engineering Harbin Engineering University Harbin150001China College of Aerospace and Civil Engineering Harbin Engineering University Harbin150001China Pakhtunkhwa Energy Development Organization(PEDO) Khyber PakhtunkhwaPakistan

This paper describes a design optimization study of the composite egg-shaped submersible pressure hull employing optimization and finite element analysis(FEA)tools as a first attempt to provide an optimized design of the composite egg-shaped pressure hull for manufacturing or further investigations.A total of 15 optimal designs for the composite egg-shaped pressure hull under hydrostatic pressure are obtained in terms of fibers’angles and the number of layers for 5 lay-up arrangements and 3 unidirectional(UD)composite *** optimization process is performed utilizing a genetic algorithm and FEA in *** minimization of the buoyancy factor eB:FT is selected as the objective for the optimization under constraints on both material failure and buckling *** buckling analysis is conducted for one optimal design considering both geometric nonlinearity and imperfections.A sensitivity study is also conducted to further investigate the influence of the design variables on the optimal design of the egg-shaped pressure hull.

关键词： Composite egg-shaped pressure hull Design optimization Buoyancy factor Material failure Buckling instability