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微血管减压术后疱疹病毒感染的临床特征分析

神经损伤与功能重建 2021年第4期16卷 199-201页

作者：张琪陈浩张作慧陈雪婷郑惠文刘洁 hafiz khuram raza 昝坤张沈阳王钰乔张尊胜徐州医科大学研究生学院江苏徐州221002 徐州医科大学附属医院神经内科江苏徐州221002

目的:探讨微血管减压术后疱疹病毒感染的临床特征、治疗及预后,以提高临床医生对此病的认识。方法:报道2例微血管减压术后疱疹病毒感染患者的临床资料并结合相关文献进行回顾性分析。结果:既往文献共有7例符合纳入标准,加上本文报道的2... 详细信息

目的:探讨微血管减压术后疱疹病毒感染的临床特征、治疗及预后,以提高临床医生对此病的认识。方法:报道2例微血管减压术后疱疹病毒感染患者的临床资料并结合相关文献进行回顾性分析。结果:既往文献共有7例符合纳入标准,加上本文报道的2例,共9例患者。其中5例为水痘带状疱疹病毒感染,3例为单纯疱疹病毒感染,1例病毒类型不明。6例原发病为三叉神经痛,3例为面肌痉挛。其最常见症状为面部疱疹(5例),部分患者出现不典型症状如发热头痛(4例)、眼结膜炎(1例)、面瘫(1例)、面肌痉挛(1例)。经阿昔洛韦抗病毒后所有患者临床症状均好转,且预后较好。结论:微血管减压术后如出现发热、面部疼痛、面肌痉挛、面瘫、眼部症状时,需考虑有无疱疹感染可能,确诊后需及时抗病毒治疗。

关键词：微血管减压术疱疹病毒三叉神经痛面肌痉挛脑炎

Experimental investigation of evaporative cooling systems for agricultural storage and livestock air-conditioning in Pakistan

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Building Simulation 2021年第3期14卷 617-631页

作者： hafiz M.U.raza Muhammad Sultan Majid Bahrami Alamgir A.Khan Department of Agricultural Engineering Bahauddin Zakariya UniversityBosan RoadMultan 60800Pakistan Laboratory for Alternative Energy Conversion(LAEC) School of Mechatronic Systems EngineeringSimon Fraser UniversitySurreyBCCanada Department of Agricultural Engineering Muhammad Nawaz Shareef University ofAgricultureMultan 60000Pakistan

Evaporative cooling(EC)is an ancient technique that is usually suitable for hot and dry climatic conditions due to the potential of water vapor *** this study,three kinds of evaporative cooling systems such as direct EC(DEC),indirect EC(IEC),and Maisotsenko cycle EC(MEC)were locally developed at *** performance of the systems was evaluated and compared for agricultural storage and livestock air-conditioning application in *** experiments were performed for climatic conditions of Multan city(Pakistan)and the data were collected for hourly and daily *** to the results,it was observed that the DEC system has the ability to reduce the temperature of ambient air to an average of 8.5℃.Whilst IEC and MEC systems were able to drop the temperature of ambient air to an average of 6.8℃and 8.9℃,*** per the results,the DEC system remained behind to provide desired conditions for livestock and agricultural product storage applications due to excessive *** the other hand,the IEC and MEC systems can achieve the desired conditions for livestock application,but could not provide feasible conditions for various fruits and vegetable *** study concludes that hybrid EC systems can be developed to provide desired conditions for a wide range of applications under varying climatic conditions.

关键词： evaporative cooling air-conditioning dew-point wet-bulb storage livestock

Fluvial Response to Sea Level Changes during the Evolution of the Indus Delta,Pakistan

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Fluvial Response to Sea Level Changes during the Evolution o...

作者： hafiz Ahmed raza Hassan 中国石油大学(华东)

学位级别：硕士

利用Sedsim软件对印度河三角洲进行地层正演模拟,在模拟面积为250 km x 250km,网格分辨率为2.5km的情况下,显示了印度河三角洲从距今200ka～5kyrs期间碎屑沉积物的时空展布。由于该地区缺乏第四纪沉积物的地震和井数据,本次研究为模拟... 详细信息

利用Sedsim软件对印度河三角洲进行地层正演模拟,在模拟面积为250 km x 250km,网格分辨率为2.5km的情况下,显示了印度河三角洲从距今200ka～5kyrs期间碎屑沉积物的时空展布。由于该地区缺乏第四纪沉积物的地震和井数据,本次研究为模拟海平面升降旋回过程中沉积过程及地层演化提供了一种有效方法。沉积层序的形成主要受基准面,沉降,沉积物供应,初始地形和波浪能量之间的相互作用控制。本文充分结合野外测量、陆地卫星影像、数字观测模型、水文变量和已发表数据建立沉积概念模型,该模型进一步用于生成地层正演模拟(Sedsim)的输入参数。沉积学响应涉及沉积构造,河流沉积物的体积和空间分布的变化,而形态学响应则决定了该区域河道的几何形状,起伏和坡度。印度河、阿拉伯海、塔尔沙漠和拉基高原是印度河三角洲平原的主要组成部分。构造上,印度三角洲平原由向上挠曲带、向下挠曲带组成,沉降自西向东呈增加的趋势。复合三角洲区由上三角洲平原(河流主导)和下三角洲平原(潮汐主导)组成。三角洲的结构受流量,流速和沉积物浓度等水文变量控制。三角洲平原的物源输入主要来自印度河,包括来自邻近高地和哈布河的粗碎屑物质,以及风成沉积的沉积物。总的模拟持续时间为最近二个冰期和间冰期旋回的时间周期。最终模拟结果由205层组成,每层代表1000年,反映了模拟时间段内的岩相,沉积相,古水深和伪地震剖面。自200ka到130ka,海平面下降,印度河继续为三角洲平原提供沉积物。这个时期被视为低位域。在130ka至60ka期间,海平面上升,气候条件温暖而潮湿。最大沉积界面位于该高位域时期。从60ka到18ka,海平面下降并达到了最后一次冰期的最低点。该低位域时期接受的沉积最少,且在三角洲平原发生了更多的侵蚀作用。后冰期(距今18ka～5kyrs)海平面迅速上升并伴随着强烈的季风气候条件。在高位域时期,随着自然截弯和加积作用,沉积速率升高。本次模拟合理预测三角洲平原厚度,其厚度从北到南,自西向东改变。东北方向三角洲的最大厚度可达175 m,滨岸带最大厚度可达200米左右,中部三角洲最大厚度可达100米左右。基于文献资料和卫星图像验证了模型的沉积厚度及相分布。此外,生成10口假井数据,其结果预测了三角洲平原的沉积速率和沉积物百分率。通过模拟得到的质量平衡方程,统计学上给出了模拟时期的沉积平衡。印度河沿岸在模拟时间内共经历了三个沉积演化阶段。对于未来5kyrs,模拟显示了海平面静止和海平面以1m/kyr的速度上升两种类型,分别揭示了海岸线稳定和泛滥的情况。陆上三角洲的发育,受到三角洲河道的自然截弯作用以及波浪、潮汐的侵蚀作用的影响。

关键词：印度河印度河三角洲平原海平面变化沉积演化沉积正演模拟 Sedsim

Ontological Model for Cohesive Smart Health Services Management

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Computers, Materials & Continua 2023年第2期74卷 3679-3695页

作者： Muhammad raza Naqvi Muhammad Waseem Iqbal Syed khuram Shahzad M.Usman Ashraf Khalid Alsubhi Hani Moaiteq Aljahdali Le Laboratoire Génie de Production de l’École Nationale d’Ingénieurs de Tarbes(LGP-INP-ENIT) Universitéde ToulouseCEDEXTarbes65016France Department of Software Engineering Superior UniversityLahore53700Pakistan Department of Informatics&Systems University of Management&TechnologyLahore54000Pakistan Department of Computer Science University of Management and TechnologySialkot51310Pakistan Department of Computer Science King Abdul-Aziz UniversityJeddah21577Saudi Arabia Faculty of Computing and Information Technology King Abdulaziz UniversityJeddah21577Saudi Arabia

Health care has become an essential social-economic concern for all stakeholders(e.g.,patients,doctors,hospitals etc.),health needs,private care and the elderly class of *** massive increase in the usage of health care Internet of things(IoT)applications has great technological evolvement in human *** are various smart health care services like remote patient monitoring,diagnostic,disease-specific remote treatments and *** applications are available in a split fashion and provide solutions for variant diseases,medical resources and remote service *** main objective of this research is to provide a management platform where all these services work as a single unit to facilitate the *** ontological model of integrated healthcare services is proposed by getting requirements from various existing healthcare *** were 26 smart health care services and 26 smart health care services to classify the knowledge-based ontological *** proposed ontological model is derived from different classes,relationships,and constraints to integrate health care *** model is developed using Protégébased on each interrelated/correlated health care service having different *** querying SPARQL protocol and RDF query language(SPARQL)were used for knowledge *** Pellet Reasoner is used to check the validity and relations coherency of the proposed ontology *** to other smart health care services integration systems,the proposed ontological model provides more cohesiveness.

关键词： Ontology internet of things smart health services integration

Jamun (Syzygium cumini) seed and fruit extract attenuate hyperglycemia in diabetic rats

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Asian Pacific Journal of Tropical Biomedicine 2017年第8期7卷 750-754页

作者： Ahmad raza Masood Sadiq Butt Iahtisham-Ul-Haq hafiz Ansar Rasul Suleria National Institute of Food Science & Technology Faculty of FoodNutrition & Home SciencesUniversity of AgricultureFaisalabadPakistan UQ School of Medicine Translational Research InstituteThe University of Queensland

To evaluate the potential of both jamun (Syzygium cumini) seed and fruit extracts against *** Sprague Dawley rats were used to evaluate hypoglycemic potential of jamun extracts. Purposely, jamun fruit and seed’s ethanolic extracts based diets were provided to normal and high sucrose diet induced hyperglycemic/diabetic rats for sixty days. The serum glucose and insulin levels were monitored at monthly intervals to evaluate hypoglycemic effect of jamun *** results of instant research depicted that both seed and fruit extracts reduce the blood glucose level significantly and also regulate the insulin levels in hyperglycemic rats. It was noted that jamun fruit extract attenuated serum glucose levels to 5.35% and 12.29% in normal and hyperglycemic rats, respectively; while insulin levels were improved by 2.82% and 6.19%, correspondingly. Whereas, jamun seed extract reduced glucose to 7.04% & 14.36% and showed 3.56% & 7.24% higher insulin levels in normal & hyperglycemic rats, *** present research revealed that both jamun fruit and seeds have potent prophylactic role against hyperglycemia. In this respect, diet based regimen may be tailored using jamun fruit/seed and their extracts to alleviate hyperglycemia.

关键词： Hyperglycemia Jamun seed and fruit extract Glucose Insulin

Machine Learning Based Psychotic Behaviors Prediction from Facebook Status Updates

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Computers, Materials & Continua 2022年第8期72卷 2411-2427页

作者： Mubashir Ali Anees Baqir hafiz Husnain raza Sherazi Asad Hussain Asma Hassan Alshehri Muhammad Ali Imran Department of Management Information and Production EngineeringUniversity of BergamoBergamo24129Italy Department of Environmental Sciences Informatics and StatisticsCa’Foscari University of VeniceVenice30123Italy School of Computing and Engineering University of West LondonLondonW55RFUK Department of Engineering and Applied Sciences University of BergamoBergamo24129Italy Durma College of Science and Humanities Shaqra UniversityShaqra11961Saudi Arabia School of Engineering University of GlasgowGlasgowG128QQUK

With the advent of technological advancements and the widespread Internet connectivity during the last couple of decades,social media platforms(such as Facebook,Twitter,and Instagram)have consumed a large proportion of time in our daily *** tend to stay alive on their social media with recent updates,as it has become the primary source of interactionwithin social *** social media platforms offer several remarkable features but are simultaneously prone to various critical *** studies have revealed a strong correlation between the usage of social media and associated mental health issues consequently leading to depression,anxiety,suicide commitment,and mental disorder,particularly in the young adults who have excessively spent time on socialmedia which necessitates a thorough psychological analysis of all these *** study aims to exploit machine learning techniques for the classification of psychotic issues based on Facebook status *** this paper,we start with depression detection in the first instance and then expand on analyzing six other psychotic issues(e.g.,depression,anxiety,psychopathic deviate,hypochondria,unrealistic,and hypomania)commonly found in adults due to extreme use of social media *** classify the psychotic issues with the user’s mental state,we have employed different Machine Learning(ML)classifiers i.e.,Random Forest(RF),Support Vector Machine(SVM),Naïve Bayes(NB),and K-Nearest Neighbor(KNN).The used ML models are trained and tested by using different combinations of features selection *** observe themost suitable classifiers for psychotic issue classification,a cost-benefit function(sometimes termed as‘Suitability’)has been used which combines the accuracy of the model with its execution *** experimental evidence argues that RF outperforms its competitor classifiers with the unigram feature set.

关键词： Psychotic behaviors mental health socialmedia machine learning

Estimating Anthropometric Soft Biometrics:An Empirical Method

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Intelligent Automation & Soft Computing 2023年第9期37卷 2727-2743页

作者： Bilal Hassan hafiz Husnain raza Sherazi Mubashir Ali Yusra Siddiqi Engineering&Environment Northumbria UniversityLondon CampusLondonE17HTUK School of Computing and Engineering University of West LondonLondonW55RFUK School of Computer Science University of BirminghamBirminghamB152TTUK

Following the success of soft biometrics over traditional biomet-rics,anthropometric soft biometrics are emerging as candidate features for recognition or retrieval using an image/*** soft biometrics uses a quantitative mode of annotation which is a relatively better method for annotation than qualitative annotations adopted by traditional ***,one of the most challenging tasks is to achieve a higher level of accuracy while estimating anthropometric soft biometrics using an image or *** level of accuracy is usually affected by several contextual factors such as overlapping body components,an angle from the camera,and ambient *** and developing such a collection of anthropometric soft biometrics that are less sensitive to contextual factors and are relatively easy to estimate using an image or video is a potential research domain and it has a lot of value for improved recognition or *** this purpose,anthro-pometric soft biometrics,which are originally geometric measurements of the human body,can be computed with ease and higher accuracy using landmarks information from the human *** this end,several key contributions are made in this paper;i)summarizing a range of human body pose estimation tools used to localize dozens of different multi-modality landmarks from the human body,ii)a critical evaluation of the usefulness of anthropometric soft biometrics in recognition or retrieval tasks using state of the art in the field,iii)an investigation on several benchmark human body anthropometric datasets and their usefulness for the evaluation of any anthropometric soft biometric system,and iv)finally,a novel bag of anthropometric soft biomet-rics containing a list of anthropometrics is presented those are practically possible to measure from an image or *** the best of our knowledge,anthropometric soft biometrics are potential features for improved seamless recognition or retrieval in both constrained

关键词： Anthropometrics soft biometrics landmark localization estimation

Travelers'attitudes toward carpooling in Lahore:motives and constraints

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Journal of Modern Transportation 2017年第4期25卷 268-278页

作者： Muhammad Ashraf Javid Tahir Mehmood hafiz Muhammad Asif Ahsan Ullah Vaince Mohsin raza College of Engineering and Architecture University of NizwaNizwaOman Department of Transportation Engineering and Management University of Engineering and TechnologyLahorePakistan Roadway Traffic and Transportation Safety Research CenterUnited Arab Emirates UniversityAl AinUAE

Traffic congestion has become a critical issue in developing countries,as it tends to increase social costs in terms of travel cost and time,energy consumption and environmental *** limited resources,reducing travel demand by influencing individuals’ travel behavior can be a better long-term *** achieve this objective,alternate travel options need to be provided so that people can commute comfortably and *** study aims to identify key motives and constraints in the consideration of carpooling policy with the help of stated preference questionnaire survey that was conducted in Lahore *** designed questionnaire includes respondents’ socioeconomic demographics,and intentions and stated preferences on carpooling *** analysis was conducted on travelers’ responses,and a structural model was developed for *** and modeling results reveal that social,environmental and economic benefits,disincentives on car use,preferential parking treatment for carpooling,and comfort and convenience attributes are significant determinants in promoting ***,people with strong belief in personal privacy,security,freedom in traveling and carpooling service constraints would have less potential to use thecarpooling *** addition,pro-auto and pro-carpooling attitudes,marital status,profession and travel purpose for carpooling are also underlying *** findings implicate that to promote carpooling policy it is required to consider appropriate incentives on this service and disincentives on use of private vehicle along with modification of people’s attitudes and intentions.

关键词： Travel behavior Travel demand management Carpooling Stated preference Questionnaire survey Lahore

Disease Diagnosis System Using IoT Empowered with Fuzzy Inference System

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Computers, Materials & Continua 2022年第3期70卷 5305-5319页

作者： Talha Mahboob Alam Kamran Shaukat Adel Khelifi Wasim Ahmad Khan hafiz Muhammad Ehtisham raza Muhammad Idrees Suhuai Luo Ibrahim A.Hameed Department of Computer Science and Information Technology Virtual University of PakistanLahorePakistan School of Information and Physical Sciences The University of NewcastleAustralia Department of Computer Science and Information Technology Abu Dhabi UniversityAbu DhabiUnited Arab Emirates School of Computer Science National College of Business Administration&EconomicsLahorePakistan Sir Syed College of Computer Science University of Engineering and TechnologyLahorePakistan Department of Data Science University of the PunjabLahorePakistan Department of ICT and Natural Sciences Norwegian University of Science and TechnologyTrondheimNorway

Disease diagnosis is a challenging task due to a large number of associated *** in the diagnosis process arises frominaccuracy in patient attributes,missing data,and limitation in the medical expert’s ability to define cause and effect relationships when there are multiple interrelated *** paper aims to demonstrate an integrated view of deploying smart disease diagnosis using the Internet of Things(IoT)empowered by the fuzzy inference system(FIS)to diagnose various *** Fuzzy Systemis one of the best systems to diagnose medical conditions because every disease diagnosis involves many uncertainties,and fuzzy logic is the best way to handle *** proposed system differentiates new cases provided symptoms of the ***,it becomes a time-sensitive task to discriminate symptomatic *** proposed system can track symptoms firmly to diagnose diseases through IoT and FIS smartly and *** coefficients have been employed to predict and compute the identified disease’s severity for each sign of *** study aims to differentiate and diagnose COVID-19,Typhoid,Malaria,and *** study used the FIS method to figure out the disease over the use of given data related to correlating with input *** tool is utilised for the implementation of *** procedure on the aforementioned given data presents that affectionate disease can derive from the *** results of our proposed method proved that FIS could be utilised for the diagnosis of other *** study may assist doctors,patients,medical practitioners,and other healthcare professionals in early diagnosis and better treat diseases.

关键词： Disease diagnosis system COVID-19 healthcare biomedical rules extraction