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Analyzing COVID-2019 Impact on Mental Health Through Social Media Forum

Computers, Materials & Continua 2021年第6期67卷 3737-3748页

作者： Huma muhammad khalid sohail Nadeem Akhtar Dost muhammad Humaira Afzal muhammad Rafiq Mufti Shahid Hussain Mansoor Ahmed Department of Computer Science COMSATS UniversityIslamabad45550Pakistan Department of Management Sciences Bahria Business SchoolBahria UniversityIslamabad44000Pakistan Department of Computer Science&IT The Islamia University of BahawalpurBahawalpur.63100Pakistan Department of Computer Science Bahauddin Zakariya UniversityMultan60800Pakistan Department of Computer Science COMSATS University IslamabadVehari Campus61100Pakistan Department of Computer and Information Science University of OregonEugene97401OregonUSA

This study aims to identify the potential association of mental health and social media forum during the outbreak of COVID-19 ***-19 brings a lot of challenges to government *** the different strategies the most extensively adopted ones were lockdown,social distancing,and isolation among *** people with no mental illness history have been found with high risk of distress and psychological discomfort due to anxiety of being infected with the *** among people due to COVID-19 spread faster than the disease *** misinformation and excessive usage of social media in this pandemic era have adversely affected mental health across the *** to limited historical data,psychiatrists are finding it difficult to cure the mental illness of people resulting from the pandemic repercussion,fueled by social media *** this study the methodology used for data extraction is by considering the implications of social network platforms(such as Reddit)and levering the capabilities of a semi-supervised co-training technique-based use of Naïve Bayes(NB),Random Forest(RF),and Support Vector Machine(SVM)*** experimental results shows the efficacy of the proposed methodology to identify the mental illness level(such as anxiety,bipolar disorder,depression,PTSD,schizophrenia,and OCD)of those who are in anxious of being infected with this *** observed 1 to 5%improvement in the classification decision through the proposed method as compared to state-of-the-art classifiers.

关键词： SARS-CoV-2 mental health social media Reddit machine learning

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Analyzing COVID-19 Impact on the Researchers Productivity through Their Perceptions

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Computers, Materials & Continua 2021年第5期67卷 1835-1847页

作者： Syeda Javeria Shoukat Humaira Afzal muhammad Rafiq Mufti muhammad khalid sohail Dost muhammad Khan Nadeem Akhtar Shahid Hussain Mansoor Ahmed Department of Computer Science COMSATS UniversityIslamabad45550Pakistan Department of Computer Science Bahauddin Zakariya UniversityMultan60800Pakistan Department of Computer Science COMSATS University IslamabadVehari CampusIslamabad61100Pakistan Department of Management Studies Bahria Business SchoolBahria UniversityIslamabad44000Pakistan Department of Computer Science&IT The Islamia University of BahawalpurBahawalpur63100Pakistan Department of Computer and Information Science University of OregonEugeneOR97401USA

Context:Since the end of 2019,the COVID-19 pandemic had a worst impact on world’s economy,healthcare,and *** are several aspects where the impact of COVID-19 could be *** these,one aspect is the productivity of researcher,which plays a significant role in the success of an ***:There are several factors that could be aligned with the researcher’s productivity of each domain and whose analysis through researcher’s feedback could be beneficial for decision makers in terms of their decision making and implementation of mitigation plans for the success of an ***:We perform an empirical study to investigate the substantial impact of COVID-19 on the productivity of researchers by analyzing the relevant factors through their *** study aims to find out the impact of COVID-19 on the researcher’s productivity that are working in different *** this study,we conduct a questionnaire-based analysis,which included feedback of 152 researchers of certain *** researchers are currently involved in different research ***,we perform a statistical analysis to analyze the collected responses and report the ***:The results indicate the substantial impact of COVID-19 pandemics on the researcher’s productivity in terms of mental disturbance,lack of regular meetings,and field visits for the collection of primary ***:Finally,it is concluded that researcher’s daily or weekly meetings with their supervisors and colleagues are necessary to keep them more productive in task *** findings would help the decision makers of an organization in the settlement of their plan for the success of an organization.

关键词： COVID-19 researchers productivity statistical analysis

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Multi-Band Bandpass Filter Using Novel Topology for Next-Generation IoT Wireless Systems

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Computers, Materials & Continua 2022年第12期73卷 4819-4832页

作者： muhammad Faisal sohail khalid Departmnet of Electrical Engineering Riphah International UniversityIslamabad44000Pakistan

The design of single-and quad-band Bandpass Filter(BPF)topology has been presented in this paper for next-generation Internet of Things(IoT)*** main topology is constructed using the Split Ring Resonator(SRR),separated by the Anti-Parallel Coupled Line Structure(APCLS).A detailed analysis of APCLS has been presented,which is further used to construct the single-and quad-band *** single-band BPF design consists of SRR loaded with *** developed single-band BPF displays a dual-mode response with a center frequency of 2.65 GHz and a measured fractional bandwidth of 17.17%.Moreover,a quad-band bandpass filter has been achieved using the same topology with minor modification in the SRR and APCLS electrical *** developed quad-band BPF generates a dual-mode response having center frequencies of 1.2,2.4,3.5,and 4.7 GHz with the measured fractional bandwidth of 13%,26%,16%,and 5%,*** prototypes have been fabricated on the highfrequency substrate to validate the proposed *** high rejection in the stopbands region,little in-band insertion loss,and very selective passband have been measured for single-and quad-band *** measured and simulated results are well correlated.

关键词： Single-band BPF quad-band BPF anti-parallel coupled line structure split ring resonator internet of things

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Global trends in hepatitis C-related hepatocellular carcinoma mortality:A public database analysis(1999-2019)

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World Journal of Virology 2024年第1期13卷 69-83页

作者： Hassam Ali Fnu Vikash Vishali Moond Fatima khalid Abdur Rehman Jamil Dushyant Singh Dahiya Amir Humza sohail Manesh Kumar Gangwani Pratik Patel Sanjaya K Satapathy Department of Internal Medicine/Gastroenterology East Carolina University Brody School of MedicineGreenvilleNC 27834United States Department of Internal Medicine Jacobi Medical Center/Albert Einstein College of MedicineBronxNY 10461United States Department of Internal Medicine Saint Peter's University Hospital/Robert Wood Johnson Medical SchoolNew BrunswickNJ 08901United States Department of Internal Medicine Quaid-e-Azam Medical CollegeBahawalpur 63100PunjabPakistan Department of Internal Medicine Samaritan Medical CentreWatertownMA 13601United States Division of Gastroenterology Hepatology&MotilityThe University of Kansas School of MedicineKansas CityKS 66160United States Department of Surgery New York University Winthrop HospitalNew YorkMineloaNY 11501United States Department of Internal Medicine The University of ToledoToledoOH 43606United States Department of Gastroenterology Mather Hospital/Hofstra University Zucker School of MedicineNY 11777United States Division of Hepatology Department of MedicineNorth Shore University HospitalManhassetNY 11030United States

BACKGROUND Hepatitis C is the leading cause of chronic liver disease worldwide and it significantly contributes to the burden of hepatocellular carcinoma(HCC).However,there are marked variations in the incidence and mortality rates of HCC across different geographical *** the advent of new widely available treatment modalities,such as direct-acting antivirals,it is becoming increasingly imperative to understand the temporal and geographical trends in HCC mortality associated with Hepatitis ***,gender disparities in HCC mortality related to Hepatitis C are a crucial,yet underexplored aspect that adds to the disease's global *** some studies shed light on gender-specific trends,there is a lack of comprehensive data on global and regional mortality rates,particularly those highlighting gender *** gap in knowledge hinders the development of targeted interventions and resource allocation *** The results of our study show an overall decline in the mortality rates of patients with hepatitis C-related HCC over the last two ***,females exhibited a remarkable decrease in mortality compared to ***,East Asia and the Pacific displayed a significant decline in mortality,while Europe and Central Asia witnessed an upward *** America and the Caribbean also experienced an increase in mortality ***,no significant difference was observed in the Middle East and North *** America exhibited a notable upward *** Asia and Sub-Saharan Africa significantly declined throughout the study *** raises the hope of identifying areas for implementing more targeted *** some progress,multiple challenges remain in meeting the WHO 2030 goal of eliminating viral hepatitis[24].

关键词： Carcinoma Hepatocellular Antiviral agents Global Burden of Disease Quality indicators Health care Liver neoplasms Hepatitis C Chronic hepatitis C

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HRNetO:Human Action Recognition Using Unified Deep Features Optimization Framework

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计算机、材料和连续体（英文） 2023年第4期75卷 1089-1105页

作者： Tehseen Ahsan sohail khalid Shaheryar Najam muhammad Attique Khan Ye Jin Kim Byoungchol Chang Department of Electrical Engineering Riphah International UniversityPeshawar Rdnear Hajj ComplexI-14IslamabadIslamabad Capital Territory46000Pakistan Departmnt of Computer Science HITEC UniversityTaxila47080Pakistan Department of Computer Science Hanyang UniversitySeoul04763Korea Center for Computational Social Science Hanyang UniversitySeoul04763Korea

Human action recognition(HAR)attempts to understand a subject’sbehavior and assign a label to each action *** is more appealingbecause it has a wide range of applications in computer vision,such asvideo surveillance and smart *** attempts have been made in theliterature to develop an effective and robust framework for ***,theprocess remains difficult and may result in reduced accuracy due to severalchallenges,such as similarity among actions,extraction of essential features,and reduction of irrelevant *** this work,we proposed an end-toendframework using deep learning and an improved tree seed optimizationalgorithm for accurate *** proposed design consists of a *** the first step,frame preprocessing is *** the second step,two pre-trained deep learning models are fine-tuned and trained throughdeep transfer learning using preprocessed video *** the next step,deeplearning features of both fine-tuned models are fused using a new ParallelStandard Deviation Padding Max Value *** fused features arefurther optimized using an improved tree seed algorithm,and select the bestfeatures are finally classified by using the machine learning *** was carried out on five publicly available datasets,including UTInteraction,Weizmann,KTH,Hollywood,and IXAMS,and achieved higheraccuracy than previous techniques.

关键词： Action recognition features fusion deep learning features selection

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Non-Invasive Early Diagnosis of Obstructive Lung Diseases Leveraging Machine Learning Algorithms

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Computers, Materials & Continua 2022年第9期72卷 5681-5697页

作者： Mujeeb Ur Rehman Maha Driss Abdukodir Khakimov sohail khalid Department of Electrical Engineering Riphah International UniversityIslamabad44000Pakistan Security Engineering Lab Prince Sultan UniversityRiyadh12435Saudi Arabia RIADI Laboratory National School of Computer ScienceUniversity of ManoubaManouba2010Tunisia Peoples’Friendship University of Russia(RUDN University) Moscow117198Russia

Lungs are a vital human body organ,and different Obstructive Lung Diseases(OLD)such as asthma,bronchitis,or lung cancer are caused by shortcomings within the ***,early diagnosis of OLD is crucial for such patients suffering from OLD since,after early diagnosis,breathing exercises and medical precautions can effectively improve their health state.A secure non-invasive early diagnosis of OLD is a primordial need,and in this context,digital image processing supported by Artificial Intelligence(AI)techniques is reliable and widely used in the medical field,especially for improving early disease ***,this article presents an AIbased non-invasive and secured diagnosis for OLD using physiological and iris *** research work implements different machine-learning-based techniques which classify various subjects,which are healthy and effective *** iris features include gray-level run-length matrix-based features,gray-level co-occurrence matrix,and statistical *** features are extracted from iris ***,ten different classifiers and voting techniques,including hard and soft voting,are implemented and tested,and their performances are evaluated using several parameters,which are precision,accuracy,specificity,F-score,and *** on the statistical analysis,it is concluded that the proposed approach offers promising techniques for the non-invasive early diagnosis of OLD with an accuracy of 97.6%.

关键词： Obstructive lung disease non-invasive diagnosis machine learning physiological features voting techniques

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Argemone mexicana extract alleviates gastrointestinal disorders by stimulating muscarinic receptors and blocking voltage-gated L-type calcium channels

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Asian Pacific Journal of Tropical Biomedicine 2021年第5期11卷 214-221页

作者： Rabia Iqbal Irfan Hamid khalid Hussain Janbaz muhammad Furqan Akhtar Ammara Saleem Ali Sharif Sohaib Peerzada Bushra Akhtar Kashif sohail Sajid Ali Faculty of Pharmacy The University of LahoreLahorePakistan Cadson College of Pharmacy University of the PunjabLahorePakistan Department of Pharmacology Bahauddin Zakariya UniversityMultanPakistan Riphah Institute of Pharmaceutical Sciences Riphah International UniversityLahore CampusLahorePakistan Department of Pharmacology Faculty of Pharmaceutical SciencesGovernment College University FaisalabadFaisalabadPakistan Department of Pharmacology Faculty of Pharmaceutical and Allied health SciencesLahore College for Women UniversityLahorePakistan Institute of Pharmacy Physiology and PharmacologyUniversity of AgricultureFaisalabadPakistan Akson College of Pharmacy Mirpur University of Science and TechnologyMirpurAJKPakistan

Objective:To investigate the pharmacological potential of Argemone mexicana in treating constipation and emesis by using in vitro and in vivo ***:The spasmogenic and spasmolytic effects were evaluated on isolated rabbit jejunum fragments loaded in a tissue organ *** response was recorded with an isotonic transducer attached with Power Lab Data Acquisition *** laxative and antiemetic activities were assessed in BALB-c mice and poultry chicks challenged with carbamylcholine and copper sulphate stimulated emesis,***:The total phenolic and total flavonoids contents of the extract were(267.75±5.77)mg GAE/g and(73.86±6.01)mg QE/g,*** mexicana extract exerted spasmogenic effect on isolated rabbit jejunum segments with an EC_(50)value of 0.016 mg/m L,which was blocked by atropine(0.3μM).Argemone mexicana extract exerted spasmolytic effect in atropine treated jejunum fragments with an EC_(50)value of 2.185 mg/***,Argemone mexicana extract relaxed potassium(80 mM)-induced contractions(EC_(50):9.07 mg/mL),similar to a standard drug *** calcium channel blocker activity was confirmed by a rightward shift of concentration-response curve of calcium in the presence of Argemone mexicana extract(1-5 mg/mL)and verapamil(0.1-1μM).In addition,the extract increased the distance travelled by a charcoal in the gastrointestinal tract and exhibited antiemetic effect on copper sulphate induced emesis in ***:Argemone mexicana shows cholinergic agonist and calcium channel blocker activities,as well as antiemetic *** may be used as a potential agent for treating gastrointestinal disorders.

关键词： Argemone mexicana Muscarinic agonist Calcium channel blocker Constipation Emesis

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High Refractive Index Ti3O5 Films for Dielectric Metasurfaces

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Chinese Physics Letters 2017年第8期34卷 141-143页

作者： sohail Abdul Jalil Mahreen Akram Gwanho Yoon Ayesha khalid Dasol Lee Niloufar Raeis-Hosseini Sunae So Inki Kim Qazi Salman Ahmed Junsuk Rho muhammad Qasim Mehmoo Department of Electrical Engineering Information Technology University of the Punjab Lahore 54000 Pakistan Department of Mechanical Engineering Pohang University of Science and Technology (POSTECH) Pohang 37673 Republic of Korea Department of Chemical Engineering Pohang University of Science and Technology (POSTECH) Pohang 37673 Republic of Korea Centre for Advanced Studies in Physics GCU Lahore 54000 Pakistan

Ti33O55 films are deposited with the help of an electron beam evaporator for their applications in metasurfaces. The film of subwavelength （632nm） thickness is deposited on a silicon substrate and annealed at 400℃. The ellipsometry result shows a high refractive index above 2.5 with the minimum absorption coefficient in the visible region, which is necessary for high efficiency of transparent metasurfaces. Atomic force microscopy analysis is employed to measure the roughness of the as-deposited films. It is seen from micrographs that the deposited films are very smooth with the minimum roughness to prevent scattering and absorption losses for metasurface devices. The absence of grains and cracks can be seen by scanning electron microscope analysis, which is favorable for electron beam lithography. Fourier transform infrared spectroscopy reveals the transmission and reflection obtained from the film deposited on glass substrates. The as-deposited film shows high transmission above 60%, which is in good agreement with metasurfaces.

关键词： High Refractive Index Ti3O5 Films for Dielectric Metasurfaces Ti

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Effects of different planting systems on yield of potato crop in Kaghan Valley: A mountainous region of Pakistan

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Agricultural Sciences 2013年第4期4卷 175-179页

作者： muhammad Qasim Salma khalid Alia Naz muhammad Zafarullah Khan sohail Ahmad Khan Department of Agriculture Extension and Communication Agricultural University Peshawar Peshawar Pakistan Department of Environmental Sciences Abdul Wali Khan University Mardan Mardan Pakistan

Conversion of potato from conventional methods to wide bed planting systems may increase water and nitrogen use efficiency in commercial potato production system by reducing the amount of irrigation water and water applied nitrogen fertilizer bypassing the potato root zone. Potato (Solanum tuberosum L) cv. Desiree was tested against different planting system for yield and yield components at Kaghan, a high mountainous Himalayan region ofPakistan. The experiment was carried out at Himalayan Agricultural Research Station (HARS), Kaghan during the summer season of 2005. The results showed that maximum tuber growth (88.7%), number of stems per plant (3.5), plant expansion (45.5 cm), average number of tubers per plant (10.1) and yield per hectare (12.4 t/ha) were significantly different and higher when potatoes were planted on wide bed and covered with soil from one side. Tallest plants (53.4 cm) were observed when potatoes were sown on the ridges. Maximum number of green potatoes (12.5) and injured potatoes (5.3%) were observed when the tubers were planted following local farmers’ method. Keeping in view the soil type, land slopping, we recommend sowing potatoes on relatively plain wide beds and covering it with soil from one side, for potato cultivation in the area.

关键词： Potato (Solanum tuberosum L) Planting Systems Yield Response Kaghan Valley Pakistan

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Countrywide Survey for MERS-Coronavirus Antibodies in Dromedaries and Humans in Pakistan

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Virologica Sinica 2018年第5期33卷 410-417页

作者： Ali Zohaib muhammad Saqib muhammad Ammar Athar Jing Chen Awais-ur-Rahman Sial Saeed Khan Zeeshan Taj Halima Sadia Usman Tahir muhammad Haleem Tayyab muhammad Asif Qureshi muhammad khalid Mansoor muhammad Ahsan Naeem Bing-Jie Hu Bilal Ahmed Khan Ikram Din Ujjan Bei Li Wei Zhang Yun Luo Yan Zhu Cecilia Waruhiu Iahtasham Khan Xing-Lou Yang muhammad sohail Sajid Victor Max Corman Bing Yan Zheng-Li Shi CAS Key Laboratory of Special Pathogens and Biosafety Wuhan Institute of VirologyChinese Academy of SciencesWuhan 430071China University of Ctunese Academy of Sciences Beijing 100049China Faculty of Veterinary Medicine University of AgricultureFaisalabad 38040Pakistan Laboratory of Cancer Biomarkers and Liquid Biopsy College of PharmacyHenan UniversityHenan 475004China Department of Clinical Studies Faculty of Veterinary and Animal SciencesPMAS-Arid Agriculture UniversityRawalpindi 46000Pakistan Dow University of Health Science Pakistan Karachi 74200 Department of Microbiology Government College University FaisalabadFaisalabad 38000Pakistan Livestock and Dairy Development Department(L&DD) Lahore 54000Pakistan College of Veterinary and Animal Sciences The Islamia University of BahawalpurBahawalpur 63100Pakistan State Key Laboratory of Agricultural Mlcroblology Huazhong Agricultural UniversityWuhan 430070China Liaqat University of Medical and Health Science Pakistan Jamshoro 76090 Section of Epidemiology and Public Health Department of Chnical SciencesUniversity of Veterinary and Animal SciencesLahore subcampusJhang 35200Pakistan Institute of Virology Chadte-Universitatsmedizin BerlinCorporate member of Free UniversityHumboldt-University and Berlin Institute of HealthBerlin 10117Germany German Center for Infection Research(DZIF) Berlin 10117Germany

Middle East Respiratory Syndrome Coronavirus (MERS-CoV) is a zoonotic pathogen capable of causing severe respiratory disease in humans. Although dromedary camels are considered as a major reservoir host, the MERS-CoV infection dynamics in camels are not fully understood. Through surveillance in Pakistan, nasal (n = 776) and serum (n = 1050)samples were collected from camels between November 2015 and February 2018. Samples were collected from animal markets, free-roaming herds and abattoirs. An in-house ELISA was developed to detect IgG against MERS-CoV. A total of 794 camels were found seropositive for MERS-CoV. Prevalence increased with the age and the highest seroprevalence was recorded in camels aged [ 10 years (81.37%) followed by those aged 3.1–10 years (78.65%) and B 3 years (58.19%).Higher prevalence was observed in female (78.13%) as compared to male (70.70%). Of the camel nasal swabs, 22 were found to be positive by RT-qPCR though with high Ct values. Moreover, 2,409 human serum samples were also collected from four provinces of Pakistan during 2016–2017. Among the sampled population, 840 humans were camel *** we found a high rate of MERS-CoV antibody positive dromedaries (75.62%) in Pakistan, no neutralizing antibodies were detected in humans with and without contact to camels.

关键词： Middle East Respiratory Syndrome Coronavirus (MERS-CoV) Camel -Human Pakistan

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