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Tocilizumab in severe COVID-19-A randomized,double-blind,placebo-controlled trial

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Infectious Medicine 2022年第2期1卷 88-94页

作者： Muhammad Irfan Malik Sardar Al Fareed Zafar Fabiha Qayyum Muna Malik Muhammad Sohaib Asghar Muhammad Junaid Tahir Ammarah Arshad Fatima Khalil Hafiza Shafia Naz mudassar aslam Jodat Saleem Abdul Aziz Mustafa Usman Azhar Muhammad Naqash Zohaib Yousaf Postgraduate Medical Institute LahorePakistan Lahore General Hospital LahorePakistan Ameer-ud-Din Medical College LahorePakistan Dow University of Health Sciences-Ojha Campus KarachiPakistan Sheikh Zayed Medical College Rahim Yar KhanPakistan Hamad Medical Corporation DohaQatar

Background:The therapeutic effectiveness of interleukin-6 receptor inhibitor in critically ill hospitalized patients with coronavirus disease 2019(COVID-19)is ***:To evaluate the efficacy and safety of the outcome as recovery or death of tocilizumab for severe acute respiratory syndrome-coronavirus-2(SARS-CoV-2)infection,we conducted a randomized,double-blinded,placebo-controlled phase 2 trial in critically ill COVID-19 adult *** patients were randomly assigned in a 4:1 ratio to receive standard medical treatment plus the recommended dose of either tocilizumab or the placebo *** was *** primary outcome was the recovery or death after administration of tocilizumab or a placebo *** secondary outcomes were clinical recovery or worsening of the patients’symptoms and inflammatory markers and discharge from the ***:Of 190 patients included in this study,152 received tocilizumab,and 38 received a *** duration of hospital stay of the interventional group was 12.9±9.2,while the placebo group had a more extended hospital stay(15.6±8.8).The mortality ratio for the primary outcome,ie,mortality or recovery in the tocilizumab group was 17.8%;p=0.58 by log-rank test).The mortality ratio in the placebo group was 76.3%;p=0.32 by log-rank test).The inflammatory markers in the tocilizumab group significantly declined by day 16 compared to the placebo ***:The use of tocilizumab was associated with decreased mortality,earlier improvement of inflamma-tory markers,and reduced hospital stay in patients with severe COVID-19.

关键词： Inflammatory Infectious Immunosuppression COVID-19 Therapy Trial

Deep Convolutional Neural Networks for Accurate Classification of Gastrointestinal Tract Syndromes

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Computers, Materials & Continua 2024年第1期78卷 1207-1225页

作者： Zahid Farooq Khan Muhammad Ramzan mudassar Raza Muhammad Attique Khan Khalid Iqbal Taerang Kim Jae-Hyuk Cha Department of Computer Science COMSATS University IslamabadWah CampusWah47040Pakistan Department of Computer Science and Mathematics Lebanese American UniversityBeirut13-5053Lebanon Department of Computer Science HITEC UniversityTaxila47080Pakistan Department of Computer Science COMSATS University IslamabadAttock CampusAttock43600Pakistan Department of Computer Science Hanyang UniversitySeoul04763Korea

Accurate detection and classification of artifacts within the gastrointestinal(GI)tract frames remain a significant challenge in medical image *** science combined with artificial intelligence is advancing to automate the diagnosis and treatment of numerous *** to this is the development of robust algorithms for image classification and detection,crucial in designing sophisticated systems for diagnosis and *** study makes a small contribution to endoscopic image *** proposed approach involves multiple operations,including extracting deep features from endoscopy images using pre-trained neural networks such as Darknet-53 and ***,feature optimization utilizes the binary dragonfly algorithm(BDA),with the fusion of the obtained feature *** fused feature set is input into the ensemble subspace k nearest neighbors(ESKNN)*** Kvasir-V2 benchmark dataset,and the COMSATS University Islamabad(CUI)Wah private dataset,featuring three classes of endoscopic stomach images were *** assessments considered various feature selection techniques,including genetic algorithm(GA),particle swarm optimization(PSO),salp swarm algorithm(SSA),sine cosine algorithm(SCA),and grey wolf optimizer(GWO).The proposed model excels,achieving an overall classification accuracy of 98.25% on the Kvasir-V2 benchmark and 99.90% on the CUI Wah private *** approach holds promise for developing an automated computer-aided system for classifying GI tract syndromes through endoscopy images.

关键词： Feature fusion Darknet-53 Xception binary dragonfly algorithm ensemble

Bond-Slip Behavior of Steel Bar and Recycled Steel Fibre-Reinforced Concrete

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Journal of Renewable Materials 2024年第1期12卷 167-186页

作者： Ismail Shah Jing Li Nauman Khan Hamad R.Almujibah Muhammad mudassar Rehman Ali Raza Yun Peng School of Architecture and Civil Engineering Yunnan Agricultural UniversityKunming650000China Institute of Mountain Hazards and Environment Chinese Academy of SciencesChengdu610041China Yunnan International Joint R&D Center of Smart Agriculture and Water Security Yunnan Agricultural UniversityKunming650201China School of Water Conservancy Yunnan Agricultural UniversityKunming650201China School of Civil Engineering Guizhou UniversityGuiyang550025China Department of Civil Engineering College of EngineeringTaif UniversityP.O.Box 11099Taif City21974Saudi Arabia School of Civil Engineering Zhengzhou UniversityZhengzhou450001China

Recycled steel fiber reinforced concrete is an innovative construction material that offers exceptional mechanical properties and *** is considered a sustainable material due to its low carbon footprint and environmental friendly *** study examines the key influencing factors that affect the behavior of this material,such as the steel fiber volume ratio,recycled aggregate replacement rate,concrete strength grade,anchorage length,and stirrup *** study investigates the bond failure morphology,bond-slip,and bond strength constitutive relationship of steel fiber recycled *** results show that the addition of steel fibers at 0.5%,1.0%,and 1.5%volume ratios can improve the ultimate bond strength of pull-out specimens by 9.05%,6.94%,and 5.52%,*** replacement rate of recycled aggregate has minimal effect on the typical bond strength of pull-out ***,the ultimate bond strengths of pull-out specimens with concrete strength grades C45 and C60 have improved compared to those with C30 *** specimens with longer anchorage lengths exhibit lower ultimate bond strength,with a reduction of 33.19%and 46.37%for anchorage lengths of 5D and 7D,respectively,compared to those without *** restraint of 1φ8 and 2φ8 improves the ultimate bond strength by 5.29%and 6.90%,*** fibers have a significant effect on the behavior of concrete after it cracks,especially during the stable expansion stage,crack instability expansion stage,and failure stage.

关键词： Recycled coarse aggregates(RCA) steel fiber bonding performance bond-slip environmental challenges

Recent Developments in Authentication Schemes Used in Machine-Type Communication Devices in Machine-to-Machine Communication: Issues and Challenges

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Computers, Materials & Continua 2024年第4期79卷 93-115页

作者： Shafi Ullah Sibghat Ullah Bazai Mohammad Imran Qazi mudassar Ilyas Abid Mehmood Muhammad Asim Saleem Muhmmad Aasim Rafique Arsalan Haider Ilyas Khan Sajid Iqbal Yonis Gulzar Kauser Hameed Department of Computer Engineering Balochistan University of Information TechnologyEngineering and Management SciencesQuetta87300Pakistan Department of Information Technology Balochistan University of Information TechnologyEngineeringand Management SciencesQuetta87300Pakistan Department of Information Systems College of Computer Sciences and Information TechnologyKing Faisal UniversityHofuf in Al-Ahsa31982Saudi Arabia Department of Management Information Systems College of Business AdministrationKing Faisal UniversityHofuf in Al-Ahsa31982Saudi Arabia Department of Software Engineering College of ComputingRiphah International UniversityFaisalabad44000Pakistan Department of Electrical Engineering Balochistan University of Information Technology Engineeringand Management SciencesQuetta87300Pakistan Department of Mathematics College of Science Al-ZulfiMajmaah UniversityAl-Majmaah11952Saudi Arabia

Machine-to-machine (M2M) communication plays a fundamental role in autonomous IoT (Internet of Things)-based infrastructure, a vital part of the fourth industrial revolution. Machine-type communication devices(MTCDs) regularly share extensive data without human intervention while making all types of decisions. Thesedecisions may involve controlling sensitive ventilation systems maintaining uniform temperature, live heartbeatmonitoring, and several different alert systems. Many of these devices simultaneously share data to form anautomated system. The data shared between machine-type communication devices (MTCDs) is prone to risk dueto limited computational power, internal memory, and energy capacity. Therefore, securing the data and devicesbecomes challenging due to factors such as dynamic operational environments, remoteness, harsh conditions,and areas where human physical access is difficult. One of the crucial parts of securing MTCDs and data isauthentication, where each devicemust be verified before data transmission. SeveralM2Mauthentication schemeshave been proposed in the literature, however, the literature lacks a comprehensive overview of current M2Mauthentication techniques and the challenges associated with them. To utilize a suitable authentication schemefor specific scenarios, it is important to understand the challenges associated with it. Therefore, this article fillsthis gap by reviewing the state-of-the-art research on authentication schemes in MTCDs specifically concerningapplication categories, security provisions, and performance efficiency.

关键词： Authentication cyber security internet of things machine-type communication devices machine-to-machine communication

Mass transfer area in a multi-stage high-speed disperser with split packing

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Chinese Journal of Chemical Engineering 2019年第4期27卷 772-780页

作者： Tao Ai aslam M.mudassar Ziqi Cai Zhengming Gao State Key Laboratory of Chemical Resource Engineering School of Chemical Engineering Beijing University of Chemical Technology Beijing 100029 China Beijing Advanced Innovation Center for Soft Matter Science and Engineering Beijing University of Chemical Technology Beijing 100029 China

In this study, the mean droplet diameter in the cavity zone and the total mass transfer area of a multi-stage highspeed disperser(HSD) reactor with different packing combinations were measured and evaluated. The effects of rotational speed and packing radius, as well as the packing ring radius and numbers, on the mean droplet diameter and the total mass transfer area were evaluated. A model was established to calculate the mass transfer area in the cavity zone in the HSD reactor, and it was found that the packings contribute 61%–82% of the total mass transfer area. A correlation for predicting the mass transfer area in the packing zone was regressed by the dimensionless analysis method. An enhancement factor based on the mass transfer area in the packing zone was proposed to evaluate the effect of packing combination on mass transfer area. Two optimum packing combinations were proposed in consideration of the mean droplet diameter and the enhancement factor.

关键词： High-speed disperser Mean droplet diameter Mass transfer area Split packing

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不同国家黄油和黄油乳脂理化性质的比较评价

中国油脂 2024年第7期49卷 29-39页

作者：邹孝强蒋邦智郑磊胡纪洁潘月超王钦民 IMAD Khan mudassar Hussain 江南大学食品学院食品科学与资源挖掘国家重点实验室国家功能食品工程技术研究中心粮食发酵与食品生物制造国家工程研究中心江苏无锡214122 伽力森食品生物科技(江苏)有限公司江苏泰州225700

为帮助食品生产商和消费者选择适用于不同应用途径的黄油,并为生产更受消费者喜爱的黄油替代品提供理论支持,选取了11个国家的黄油并提取黄油乳脂,对黄油及黄油乳脂的理化性质进行了系统的比较评价。结果表明:11个国家黄油中的脂肪、水... 详细信息

为帮助食品生产商和消费者选择适用于不同应用途径的黄油,并为生产更受消费者喜爱的黄油替代品提供理论支持,选取了11个国家的黄油并提取黄油乳脂,对黄油及黄油乳脂的理化性质进行了系统的比较评价。结果表明:11个国家黄油中的脂肪、水分、蛋白质含量和滑动熔点分别为82.97%~86.40%、12.84%~16.14%、0.45%~0.78%、31.5~33.9℃,酸值(KOH)和过氧化值分别不超过0.32 mg/g、0.029 g/100 g。中国黄油的L值最高(86.87),而新西兰黄油的b值最高(35.28)。所有黄油共检出29种脂肪酸和42种甘油三酯,蛋白质主要由αs1-酪蛋白、β-酪蛋白、κ-酪蛋白、α-乳白蛋白和Adipophilin组成。爱尔兰黄油的不饱和脂肪酸含量最高(35.65%),固体脂肪含量(SFC)较低,而美国、荷兰和澳大利亚黄油的饱和脂肪酸和SFC含量较高。不同国家的黄油和黄油乳脂的晶体均为均匀精细的球晶,其中美国黄油和黄油乳脂的晶体均呈现部分聚集,且绝大多数晶体主要由β′型晶体组成。质地和流变学分析表明,爱尔兰黄油和黄油乳脂的硬度最低,所有黄油和黄油乳脂都表现出良好的黏弹性和剪切变稀性能。综上,不同国家黄油在基本理化性质、脂肪酸和甘油酯组成、SFC及硬度等方面存在差异,在食品工业中需要根据成品、加工工艺等有针对性地选择黄油,在新型人造奶油的构建中,也可依据各黄油特点进行定向研究。

关键词：黄油黄油乳脂理化性质晶体质构流变

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Utilizing a new soil effective temperature scheme and archived satellite microwave brightness temperature data to estimate surface soil moisture in the Nagqu region, Tibetan Plateau of China

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Journal of Arid Land 2018年第1期10卷 84-100页

作者： TIAN Hui mudassar IQBAL Key Laboratory of Land Surface Process and Climate Change in Cold and Arid Regions Northwest Institute of Eco-Environment and ResourcesChinese Academy of SciencesLanzhou 730000China University of Chinese Academy of Sciences Beijing 100049China

Since the early 2000s, many satellite passive microwave brightness temperature （BT） archives, such as the Advanced Microwave Scanning Radiometer for the Earth Observing System （AMSR-E） BTs, have become the useful resources for assessing the changes in the surface and deep soil moistures over both arid and semi-arid regions. In this study, we used a new soil effective temperature （T scheme and the archived AMSR-E BTs to estimate surface soil moisture （SM） over the Nagqu region in the central Tibetan Plateau, China. The surface and deep soil temperatures required for the calculation of regional-scale T were obtained from outputs of the Community Land Model version 4.5 （CLM4.5）. In situ SM measurements at the CEOP-CAMP/Tibet （Coordinated Enhanced Observing Period Asia-Australia Monsoon Project on the Tibetan Plateau） experimental sites were used to validate the AMSR-E-based SM estimations at regional and single-site scales. Furthermore, the spatial distribution of monthly mean surface SM over the Nagqu region was obtained from 16 daytime AMSR-E BT observations in July 2004 over the Nagqu region. Results revealed that the AMSR-E-based surface SM estimations agreed well with the in situ-based surface SM measurements, with the root mean square error （RMSE） ranging from 0.042 to 0.066 m3/m3 and the coefficient of determination （R2） ranging from 0.71 to 0.92 during the nighttime and daytime. The regional surface soil water state map showed a clear spatial pattern related to the terrain. It indicated that the lower surface SM values occurred in the mountainous areas of the northern, mid-western and southeastern parts of Nagqu region, while the higher surface SM values appeared in the low elevation areas such as the Tongtian River Basin, Namco Lake and bog meadows in the central part of Nagqu region. Our analysis also showed that the new T^scheme does not require special fitting parameters or additional assumptions, which simplifies the data requirements for regional-scale ap

关键词： soil effective temperature archived AMSR-E brightness temperature CLM4.5 soil temperature output Cumulative Distribution Function (CDF) matching surface soil moisture Tibetan Plateau

Hybrid lipopolymer vesicle drug delivery and release systems

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The Journal of Biomedical Research 2021年第4期35卷 301-309页

作者： Erik Reimhult mudassar Mumtaz Virk Department of Nanobiotechnology Institute for Biologically Inspired MaterialsUniversity of Natural Resources and Life SciencesVienna1190 ViennaAustria.

Hybrid lipopolymer vesicles are membrane vesicles that can be self-assembled on both the micro-and *** the nanoscale,they are potential novel smart materials for drug delivery systems that could combine the relative strengths of liposome and polymersome drug delivery systems without their respective ***,little is known about their properties and how they could be ***,most methods of investigation are limited to the *** we provide a brief review on hybrid vesicle systems with a specific focus on recent developments demonstrating that nanoscale hybrid vesicles have different properties from their macroscale counterparts.

关键词： hybrid vesicles lipopolymersomes polymersomes drug delivery lipid domains triggered release

Estimating the basic reproduction number for single-strain dengue fever epidemics

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Infectious Diseases of Poverty 2014年第1期3卷 100-116页

作者： Adnan Khan Muhammad Hassan mudassar Imran Department of Mathematics Lahore University of Management SciencesDHALahorePakistan Department of Mathematics Swiss Federal Institute of Technology(ETH)ZurichRämistrasse 1018092 ZurichSwitzerland

Background:Dengue,an infectious tropical disease,has recently emerged as one of the most important mosquito-borne viral diseases in the *** perform a retrospective analysis of the 2011 dengue fever epidemic in Pakistan in order to assess the transmissibility of the *** obtain estimates of the basic reproduction number R0 from epidemic data using different methodologies applied to different epidemic models in order to evaluate the robustness of our ***:We first estimate model parameters by fitting a deterministic ODE vector-host model for the transmission dynamics of single-strain dengue to the epidemic data,using both a basic ordinary least squares(OLS)as well as a generalized least squares(GLS)***,we perform the same analysis for a direct-transmission ODE model,thereby allowing us to compare our results across different *** addition,we formulate a direct-transmission stochastic model for the transmission dynamics of dengue and obtain parameter estimates for the stochastic model using Markov chain Monte Carlo(MCMC)*** each of the cases we have considered,the estimate for the basic reproduction number R0 is initially greater than unity leading to an epidemic ***,control measures implemented several weeks after the initial outbreak successfully reduce R0 to less than unity,thus resulting in disease ***,it is observed that there is strong agreement in our estimates for the pre-control value of R0,both across different methodologies as well across different ***,there are also significant differences between our estimates for the post-control value of the basic reproduction number across the two different ***:In conclusion,we have obtained robust estimates for the value of the basic reproduction number R0 associated with the 2011 dengue fever epidemic before the implementation of public health control ***,we have shown that there is close agreement

关键词： Epidemiology Dengue fever Statistical inference Stochastic model Markov chain Monte Carlo