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Anticoagulant use before COVID-19 diagnosis prevent COVID-19 associated acute venous thromboembolism or not:A systematic review and meta-analysis

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World Journal of Methodology 2024年第3期14卷 141-162页

作者： Kinza Iqbal Akshat Banga Taha Bin Arif Sawai Singh Rathore Abhishek Bhurwal Syeda Kisa Batool Naqvi muhammad Mehdi Pankaj Kumar Mitali Madhu Salklan Ayman Iqbal jawad Ahmed Nikhil Sharma Amos Lal Rahul Kashyap Vikas Bansal Juan Pablo Domecq Department of Internal Medicine Dow Medical CollegeKarachi 74200Pakistan Department of Internal Medicine Sawai Man Singh Medical CollegeJaipur 302004India Department of Internal Medicine Dr.Sampurnanand Medical CollegeJodhpur 342003RajasthanIndia Department of Gastroenterology and Hepatology Rutgers Robert Wood Johnson School of MedicineNew BrunswickNJ 08901United States Department of Internal Medicine Pandit Bhagwat Dayal Sharma Post Graduate Institute of Medical SciencesRohtak 124001HaryanaIndia Department of Nephrology and Hypertension Mayo ClinicRochesterMN 55905United States Department of Medicine Division of Pulmonary and Critical Care MedicineMayo ClinicRochesterMN 55905United States Department of Research Wellspan HealthYorkPA 17403United States

BACKGROUND Coagulopathy and thromboembolic events are associated with poor outcomes in coronavirus disease 2019(COVID-19)*** is conflicting evidence on the effects of chronic anticoagulation on mortality and severity of COVID-19 *** To summarize the body of evidence on the effects of pre-hospital anticoagulation on outcomes in COVID-19 *** A Literature search was performed on LitCovid PubMed,WHO,and Scopus databases from inception(December 2019)till June 2023 for original studies reporting an association between prior use of anticoagulants and patient outcomes in adults with *** primary outcome was the risk of thromboembolic events in COVID-19 patients taking *** outcomes included COVID-19 disease severity,in terms of intensive care unit admission or invasive mechanical ventilation/intubation requirement in patients hospitalized with COVID-19 infection,and *** random effects models were used to calculate crude and adjusted odds ratios(aORs)with 95%confidence intervals(95%CIs).RESULTS Forty-six observational studies met our inclusion *** unadjusted analysis found no association between prior anticoagulation and thromboembolic event risk[n=43851,9 studies,odds ratio(OR)=0.67(0.22,2.07);P=0.49;I2=95%].The association between prior anticoagulation and disease severity was non-significant[n=186782;22 studies,OR=1.08(0.78,1.49);P=0.64;I2=89%].However,pre-hospital anticoagulation significantly increased all-cause mortality risk[n=207292;35 studies,OR=1.72(1.37,2.17);P<0.00001;I2=93%].Pooling adjusted estimates revealed a statistically non-significant association between pre-hospital anticoagulation and thromboembolic event risk[aOR=0.87(0.42,1.80);P=0.71],mortality[aOR=0.94(0.84,1.05);P=0.31],and disease severity[aOR=0.96(0.72,1.26);P=0.76].CONCLUSION Prehospital anticoagulation was not significantly associated with reduced risk of thromboembolic events,improved survival,and lower disease seve

关键词： Prior anticoagulation COVID-19 Prehospital anticoagulation Chronic anticoagulation Mortality Severity Thromboembolic events

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Ontology-Based News Linking for Semantic Temporal Queries

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Computers, Materials & Continua 2023年第2期74卷 3913-3929页

作者： muhammad Islam Satti jawad Ahmed Hafiz Syed muhammad Muslim Akber Abid Gardezi Shafiq Ahmad Abdelaty Edrees Sayed Salman Naseer muhammad Shafiq Faculty of Computing Riphah International UniversityI-14 CampusIslamabad44000Pakistan Department of Computer Science Zabsolutions SZABISTIslamabadPakistan Department of Computer Science COMSATS University IslamabadIslamabad45550Pakistan Industrial Engineering Department College of EngineeringKing Saud UniversityP.O.Box 800Riyadh11421Saudi Arabia Department of Information Technology University of the Punjab Gujranwala CampusGujranwala52250Pakistan Department of Information and Communication Engineering Yeungnam UniversityGyeongsan38541Korea

Daily newspapers publish a tremendous amount of information disseminated through the *** available and easily accessible large online repositories are not indexed and are in an un-processable *** major hindrance in developing and evaluating existing/new monolingual text in an image is that it is not linked and *** is no method to reuse the online news images because of the unavailability of standardized benchmark corpora,especially for South Asian *** corpus is a vital resource for developing and evaluating text in an image to reuse local news systems in general and specifically for the Urdu *** of indexing,primarily semantic indexing of the daily news items,makes news items impracticable for any ***,the most straightforward search facility does not support these unindexed news *** study addresses this gap by associating and marking the newspaper images with one of the widely spoken but under-resourced languages,i.e.,*** present work proposed a method to build a benchmark corpus of news in image form by introducing a web *** corpus is then semantically linked and annotated with daily news *** techniques are proposed for image annotation,free annotation and fixed cross examination *** second technique got higher *** news ontology in protégéusing OntologyWeb Language(OWL)language and indexed the annotations under *** application is also built and linked with protégéso that the readers and journalists have an interface to query the news items ***,news items linked together will provide complete coverage and bring together different opinions at a single location for readers to do the analysis themselves.

关键词： Annotations corpus information retrieval semantic ontology

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非开挖喷涂内衬修复对金属管道力学行为的影响研究

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非开挖技术 2024年第2期 32-42页

作者： Saif jawad 李一凡(译) 孙平贺(译) 不详中南大学地球科学与信息物理学院长沙410083

埋在地下数十年的金属波纹管(CMP)可能会被腐蚀,失去支撑地表荷载的结构能力,从而导致其使用寿命的结束。对于这些锈蚀的金属波纹管,实践中通常采用三种维护方案:维修、修复和更换。通过挖掘来更换埋在路面下的CMP的维护方案往往会扰乱... 详细信息

埋在地下数十年的金属波纹管(CMP)可能会被腐蚀,失去支撑地表荷载的结构能力,从而导致其使用寿命的结束。对于这些锈蚀的金属波纹管,实践中通常采用三种维护方案:维修、修复和更换。通过挖掘来更换埋在路面下的CMP的维护方案往往会扰乱交通,并且需要大量的时间和预算。因此,非开挖修复方法,如水泥砂浆(喷涂)衬砌、滑动衬砌、就地固化管道、折叠成型管道、定点修复和螺旋缠绕等,已越来越多地用于修复道路下腐蚀的CMP。然而,对使用喷涂衬里方法修复的CMP行为进行评估的研究还很有限。本研究使用FLAC3D软件进行了数值分析,以评估采用喷涂衬砌法修复的埋地腐蚀CMP的行为。首先利用现有的腐蚀CMP现场测试结果对数值模型进行了验证。然后进行了参数研究,考察了CMP直径、埋入深度、喷涂衬里的抗压强度和厚度以及路面类型对水平和垂直直径变化的影响,以及在五次卡车载荷循环下路面表面沉降的影响。数值结果表明,修复后的CMP的衬里厚度增加和(即从20增加到30和),垂直和水平直径的变化就会减少和。当水泥衬砌的非收缩抗压强度减小到一半时,垂直和水平直径变化增加了约16%。

关键词：埋地管道变形腐蚀波纹钢管修复喷涂内衬

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Smart-City-based Data Fusion Algorithm for Internet of Things

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Computers, Materials & Continua 2022年第11期73卷 2407-2421页

作者： jawad Khan muhammad Amir Khan N.Z.Jhanjhi Mamoona Humayun Abdullah Alourani Department of Computer Science IIC University of TechnologyPhnom PenhCambodia Department of Computer Science COMSATS University IslamabadAbbottabad Campus22060Pakistan School of Computer Science and Engineering SCETaylor’s UniversitySubang JayaSelangorMalaysia Department of Information Systems College of Computer and Information SciencesJouf Universityal-JoufKSA Department of Computer Science and Information College of Science in ZulfiMajmaah UniversityAl-Majmaah11952Saudi Arabia

Increasingly,Wireless Sensor Networks(WSNs)are contributing enormous amounts of *** the recent deployments of wireless sensor networks in Smart City infrastructures,significant volumes of data have been produced every day in several domains ranging from the environment to the healthcare system to *** wireless sensor nodes,a Smart City environment may now be shown for the benefit of *** Smart City delivers intelligent infrastructure and a stimulating environment to citizens of the Smart Society,including the elderly and ***,Quality of Service(QoS)and poor data performance are common problems in WSNs,caused by the data fusion method,where a small amount of bad data can significantly impact the total fusion *** our proposed research,a WSN multisensor data fusion technique employing fuzzy logic for event *** the new proposed Algorithm,sensor nodes will collect less repeated data,and redundant data will be used to increase the data’s overall *** network’s fusion delay problem is investigated,and a minimum fusion delay approach is provided based on the nodes’fusion waiting *** proposed algorithm performs well in fusion,according to the results of the *** a result of these discoveries,It is concluded that the algorithm describe here is effective and dependable instrument with a wide range of applications.

关键词： Internet of things data fusion wireless sensor network fuzzy inference system

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Classification of Citrus Plant Diseases Using Deep Transfer Learning

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Computers, Materials & Continua 2022年第1期70卷 1401-1417页

作者： muhammad Zia Ur Rehman Fawad Ahmed muhammad Attique Khan Usman Tariq Sajjad Shaukat Jamal jawad Ahmad Iqtadar Hussain Department of Electrical Engineering HITEC UniversityTaxilaPakistan Department of Computer Science HITEC UniversityTaxilaPakistan College of Computer Engineering and Sciences Prince Sattam Bin Abdulaziz UniversityAl-KhrajSaudi Arabia Department of Mathematics College of ScienceKing Khalid UniversityAbhaSaudi Arabia School of Computing Edinburgh Napier UniversityUK Department of Mathematics Statisticsand PhysicsQatar UniversityDoha2713Qatar

In recent years,the field of deep learning has played an important role towards automatic detection and classification of diseases in vegetables and *** in turn has helped in improving the quality and production of vegetables and *** fruits arewell known for their taste and nutritional *** are one of the natural and well known sources of vitamin C and planted *** are several diseases which severely affect the quality and yield of citrus *** this paper,a new deep learning based technique is proposed for citrus disease *** different pre-trained deep learning models have been used in this *** increase the size of the citrus dataset used in this paper,image augmentation techniques are ***,to improve the visual quality of images,hybrid contrast stretching has been *** addition,transfer learning is used to retrain the pre-trainedmodels and the feature set is enriched by using feature *** fused feature set is optimized using a meta-heuristic algorithm,the Whale Optimization Algorithm(WOA).The selected features are used for the classification of six different diseases of citrus *** proposed technique attains a classification accuracy of 95.7%with superior results when compared with recent techniques.

关键词： Citrus plant disease classification deep learning feature fusion deep transfer learning

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Aggregation of graphene oxide and its environmental implications in the aquatic environment

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中国化学快报：英文版 2023年第2期34卷 141-149页

作者： jawad Ali Yang Li Enxiang Shang Xinjie Wang Jian Zhao muhammad Mohiuddin Xinghui Xia State Key Laboratory of Water Environment Simulation School of EnvironmentBeijing Normal UniversityBeijing 100875China College of Science and Technology Hebei Agricultural UniversityHuanghua 061100China Department of Environmental Sciences Kohsar UniversityMurree 47150Pakistan

Graphene oxide(GO) with unique characteristics grasps striking potentials in both academic and industrial applications. After being released into natural waters, the dispersity and stability of GO might be altered by the chemical conditions in the receiving water bodies. In this review, we summarized that the aggregation of GO in aquatic environments is mostly dependent on properties of nanoparticles(size,structure, and functional groups) and complex water chemistry(p H, temperature, light, ionic strength,and dissolved organic matter). The knowledge about the aggregation/stability of GO is still insufficient due to the variations in GO properties and complex system of natural waters. Although studies about environmental transformation of graphene-related materials can be accessed but a systematic study taking into consideration the various factors of GO and aquatic systems responsible for aggregation of GO is still lacking. Therefore, we summarized that GO homoaggregation or heteroaggregation with other solid particles can affect the distribution in different depths of rivers and toxicity toward plankton or benthic organisms. More studies are needed to investigate the stability of GO in the long term, the effect of other nanomaterial on GO aggregation, the alteration of water constituents at different regions/time and its effect on GO aggregation, to understand the transportation and impact of GO in the environment.

关键词： Graphene oxide Aggregation Colloidal behavior Transport/mobility Toxicity

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Genome wide identification andcharacterization of light-harvesting Chloroa/b binding(LHC) genes reveals theirpotential role in enhancing droughttolerance in Gossypium hirsutum

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Journal of Cotton Research 2021年第2期

作者： MEHARI Teame Gereziher XU Yanchao MAGWANGA Richard Odongo UMER muhammad jawad KIRUNGU Joy Nyangasi CAI Xiaoyan HOU Yuqing WANG Yuhong YU Shuxun WANG Kunbo ZHOU Zhongli LIU Fang

MEHARI Teame Gereziher1,2, XU Yanchao1, MAGWANGA Richard Odongo1,3, UMER muhammad jawad1,KIRUNGU Joy Nyangasi1, CAI Xiaoyan1, HOU Yuqing1, WANG Yuhong1, YU Shuxun1, WANG Kunbo1,ZHOU Zhongli1*and LIU Fang1,4*

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Zariski Topologies for Coprime and Second Submodules

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Algebra Colloquium 2015年第1期22卷 47-72页

作者： jawad Abuhlail Department of Mathematics and StatisticsKing Fahd University of Petroleum & Minerals Dhahran 31261 Saudi Arabia

Let M be a non-zero module over an associative （not necessarily commutative） ring. In this paper, we investigate the so-called second and coprime submodules of M. Moreover, we topologize the spectrum Spec-s（M） of second submodules of M and the spectrum Spec-c（M） of coprime submodules of M, study several properties of these spaces and investigate their internlay with the algebraic properties of M.

关键词： dual Zariski topology multiplication module comultiplication module co-prime submodule second submodule

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Prediction of the SARS-CoV-2 Derived T-Cell Epitopes’Response Against COVID Variants

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Computers, Materials & Continua 2023年第5期75卷 3517-3535页

作者： Hassam Tahir muhammad Shahbaz Khan Fawad Ahmed Abdullah M.Albarrak Sultan Noman Qasem jawad Ahmad Department of Electrical Engineering HITEC UniversityTaxila47080Pakistan Department of Cyber Security Pakistan Navy Engineering CollegeNUSTKarachi75350Pakistan Computer Science Department College of Computer and Information SciencesImam Mohammad Ibn Saud Islamic University(IMSIU)Riyadh11432Saudi Arabia School of Computing Edinburgh Napier UniversityEdinburghEH105DTU.K

TheCOVID-19 outbreak began in December 2019 andwas declared a global health emergency by the World Health *** four most dominating variants are Beta,Gamma,Delta,and *** the administration of vaccine doses,an eminent decline in new cases has been *** COVID-19 vaccine induces neutralizing antibodies and T-cells in our ***,strong variants likeDelta and Omicron tend to escape these neutralizing antibodies elicited by COVID-19 ***,it is indispensable to study,analyze and most importantly,predict the response of SARS-CoV-2-derived t-cell epitopes against Covid variants in vaccinated and unvaccinated *** this regard,machine learning can be effectively utilized for predicting the response of COVID-derived t-cell *** this study,prediction of T-cells Epitopes’response was conducted for vaccinated and unvaccinated people for Beta,Gamma,Delta,and Omicron *** dataset was divided into two classes,i.e.,vaccinated and unvaccinated,and the predicted response of T-cell Epitopes was divided into three categories,i.e.,Strong,Impaired,and *** the aforementioned prediction purposes,a self-proposed Bayesian neural network has been designed by combining variational inference and flow normalization ***,the Hidden Markov Model has also been trained on the same dataset to compare the results of the self-proposed Bayesian neural network with this state-of-the-art statistical *** experimentation and results demonstrate the efficacy of the proposed network in terms of accurate prediction and reduced error.

关键词： Omicron COVID-19 hidden Markov model Bayesian neural network

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Machine learning empowered COVID-19 patient monitoring using non-contact sensing:An extensive review

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Journal of Pharmaceutical Analysis 2022年第2期12卷 193-204页

作者： Umer Saeed Syed Yaseen Shah jawad Ahmad muhammad Ali Imran Qammer H.Abbasi Syed Aziz Shah Research Centre for Intelligent Healthcare Coventry UniversityCoventryCV15FBUK School of Computing Engineering and Built EnvironmentGlasgow Caledonian UniversityGlasgowG40BAUK School of Computing Edinburgh Napier UniversityEdinburghEH114BNUK James Watt School of Engineering University of GlasgowGlasgowG128QQUK

The severe acute respiratory syndrome coronavirus 2(SARS-CoV-2),which caused the coronavirus disease 2019(COVID-19)pandemic,has affected more than 400 million people *** the recent rise of new Delta and Omicron variants,the efficacy of the vaccines has become an important *** goal of various studies has been to limit the spread of the virus by utilizing wireless sensing technologies to prevent human-to-human interactions,particularly for healthcare *** this paper,we discuss the current literature on invasive/contact and non-invasive/noncontact technologies(including Wi-Fi,radar,and software-defined radio)that have been effectively used to detect,diagnose,and monitor human activities and COVID-19 related symptoms,such as irregular *** addition,we focused on cutting-edge machine learning algorithms(such as generative adversarial networks,random forest,multilayer perceptron,support vector machine,extremely randomized trees,and k-nearest neighbors)and their essential role in intelligent healthcare ***,this study highlights the limitations related to non-invasive techniques and prospective research directions.

关键词： Artificial intelligence Non-invasive healthcare Machine learning Non-contact sensing COVID-19

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