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Ontological Model for Cohesive Smart Health Services Management

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

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Mutualistic fungal endophytes produce phytohormones and organic acids that promote japonica rice plant growth under prolonged heat stress

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Journal of Zhejiang University-Science B(Biomedicine & Biotechnology) 2015年第12期16卷 1011-1018页

作者： muhammad WAQAS Abdul Latif khan Raheem shahzad Ihsan ULLAH Abdur Rahim khan In-Jung LEE School of Applied Biosciences Kyungpook National University Department of Agriculture Extension UoN Chair of Oman's Medicinal Plants & Marine Natural Products University of Nizwa Institute of Biotechnology and Genetic Engineering the University of Agriculture

This study identifies the potential role in heat-stress mitigation of phytohormones and other secondary metabolites produced by the endophytic fungus Paecilomyces formosus LWL1 in japonica rice cultivar Dongjin. The japonica rice was grown in controlled chamber conditions with and without P. formosus LWL1 under no stress （NS） and prolonged heat stress （HS） conditions. Endophytic association under NS and HS conditions significantly improved plant growth attributes, such as plant height, fresh weight, dry weight, and chlorophyll content. Furthermore, P. for- mosus LWL1 protected the rice plants from HS compared with controls, indicated by the lower endogenous level of stress-signaling compounds such as abscisic acid （25.71%） and jasmonic acid （34.57%） and the increase in total protein content （18.76%-33.22%）. Such fungal endophytes may be helpful for sustainable crop production under high environmental temperatures.

关键词： Paecilomyces formosus LWL1 Plant-growth promotion Heat-stress mitigation Phytohormones Organicacids Endophytes

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Validating a point of care lactate meter in adult patients with sepsis presenting to the emergency department of a tertiary care hospital of a low-to middle-income country

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World Journal of Emergency Medicine 2017年第3期8卷 184-189页

作者： muhammad Akbar Baig Hira shahzad Erfan Hussain Asad Mian Department of Emergency Medicine Aga Khan University Hospital Department of Medicine Aga Khan University Hospital Adult Critical Care Services Aga Khan University Hospital Department of Emergency Medicine Pediatrics and Child Health Aga Khan University Hospital

BACKGROUND: Timely identifi cation of high blood lactate levels in septic patients may allow faster detection of those patients requiring immediate resuscitation. Point-of-care(POC) testing is being increasingly utilized in the emergency department(ED). We examined the accuracy and timesaving effect of a handheld POC lactate device for the measurement of fingertip and whole blood lactate as compared with reference laboratory blood testing in septic ED ***: A convenience sample of adult ED patients receiving serum lactate testing were enrolled prospectively in the ED of a multidisciplinary tertiary care hospital serving the population of one of the major cities of Pakistan. Participants underwent fi ngertip POC lactate measurement with a portable device and simultaneous whole blood sampling for analysis by both the POC lactate device and standard laboratory method. Lactate measurements were compared by intraclass correlation(ICC) and Bland and Altman ***: Forty-three septic patients were included in the study. The fingertip POC & whole blood POC lactate measurements each correlated tightly with the reference method(ICC=0.93 & ICC=0.92, respectively). Similarly at 6 hours, the fingertip POC & whole blood POC lactate measurements demonstrated satisfactory correlation with the reference method(ICC=0.95 & ICC=0.97, respectively).CONCLUSION: Fingertip POC lactate measurement is an accurate method to determine lactate levels in septic ED *** WORDS: Sepsis; Point of care; Lactate; Emergency department;

关键词： Sepsis Point of care Lactate Emergency department Pakistan

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A Multi-Modal Deep Learning Approach for Emotion Recognition

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Intelligent Automation & Soft Computing 2023年第5期36卷 1561-1570页

作者： H.M.shahzad Sohail Masood Bhatti Arfan Jaffar muhammad Rashid The Superior University LahorePakistan National University of Technology IslamabadPakistan Intelligent Data Visual Computing Research(IDVCR) LahorePakistan

In recent years,research on facial expression recognition(FER)under mask is *** a mask for protection from Covid 19 has become a compulsion and it hides the facial expressions that is why FER under the mask is a difﬁcult *** prevailing unimodal techniques for facial recognition are not up to the mark in terms of good results for the masked face,however,a multi-modal technique can be employed to generate better *** proposed a multi-modal methodology based on deep learning for facial recognition under a masked face using facial and vocal *** multimodal has been trained on a facial and vocal *** have used two standard datasets,M-LFW for the masked dataset and CREMA-D and TESS dataset for vocal *** vocal expressions are in the form of audio while the faces data is in image form that is why the data is *** order to make the data homogeneous,the voice data is converted into images by taking spectrogram.A spectrogram embeds important features of the voice and it converts the audio format into the ***,the dataset is passed to the multimodal for *** network and the experimental results demonstrate that the proposed multimodal algorithm outsets unimodal methods and other state-of-the-art deep neural network models.

关键词： Deep learning facial expression recognition multi-model neural network speech emotion recognition spectrogram covid-19

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Automatic Eyewitness Identification During Disasters by Forming a Feature-Word Dictionary

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Computers, Materials & Continua 2022年第9期72卷 4755-4769页

作者： shahzad Nazir muhammad Asif Shahbaz Ahmad Hanan Aljuaid Shahbaz Ahmad Yazeed Ghadi Zubair nawaz Department of Computer Science National Textile UniversityFaisalabadPakistan Computer Sciences Department College of Computer and Information SciencesPrincess Nourah bint Abdulrahman University(PNU)P.O.Box 84428Riyadh 11671Saudi Arabia Department of Software Engineering and Computer Science Al Ain UniversityAbu DhabiUnited Arab Emirates Department of Data Science University of the PunjabPakistan

Social media provide digitally interactional technologies to facilitate information sharing and exchanging ***,in case of disasters,a massive corpus is placed on platforms such as *** accounts can benefit humanitarian organizations and agencies,but identifying the eyewitness Tweets related to the disaster from millions of Tweets is *** approaches have been developed to address this kind of *** recent state-of-the-art system was based on a manually created dictionary and this approach was further refined by introducing linguistic ***,these approaches suffer from limitations as they are dataset-dependent and not *** this paper,we proposed a method to identify eyewitnesses from *** experiment,we utilized 13 features discovered by the pioneer of this domain and can classify the tweets to determine the *** each feature,a dictionary of words was created with the Word Dictionary Maker algorithm,which is the crucial contribution of this *** algorithm inputs some terms relevant to a specific feature for its initialization and then creates the words ***,keyword matching for each feature in tweets is *** a feature exists in a tweet,it is termed as 1;otherwise,***,for 13 features,we created a file that reflects features in each *** classify the tweets based on features,Naïve Bayes,Random Forest,and Neural Network were *** approach was implemented on different disasters like earthquakes,floods,hurricanes,and Forest *** results were compared with the state-of-the-art linguistic rule-based system with 0.81 F-measure *** the same time,the proposed approach gained a 0.88 value of *** results were comparable as the proposed approach is not ***,it can be used for the identification of eyewitness accounts.

关键词： Word dictionary social media eyewitness identification disasters

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Influence of Plant Growth Promoting Rhizobacterial Inoculation on Wheat Productivity Under Soil Salinity Stress

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Phyton-International Journal of Experimental Botany 2019年第2期88卷 119-129页

作者： muhammad Zafar-ul-Hye Tariq shahzad Bhutta muhammad Shaaban Shahid Hussain muhammad Farooq Qayyum Umar Aslam Zahir Ahmad Zahir Department of Soil Science Faculty of Agricultural Sciences and TechnologyBahauddin Zakariya UniversityMultanPakistan Institute of Soil and Environmental Sciences Faculty of AgricultureUniversity of AgricultureFaisalabadPakistan.

Soil salinity affects the growth and yield of *** stress of soil salinity on plants can be mitigated by inoculation of plant growth promoting bacteria(PGPR).The influence of PGPR inoculation on wheat(Triticum aestivum L.)crop productivity under salinity stress has not been properly addressed so ***,the present study was conducted to investigate the effects of various PGPR strains(W14,W10 and 6K;alone and combined)at several growth attributes of wheat plant under different soil salinity gradients(3,6 and 9 dS m-1).The growth attributes of wheat(height,roots,shoots,spikes,grains quality,biological and economical yield,nutrients nitrogen,phosphorus and potassium in grains)were highly affected by salinity and decreased with increasing salinity *** PGPR inoculation substantially promoted growth attributes of wheat and prominent results were observed in W14×W10×6K treatment at all salinity *** results suggest that inoculation of PGPR is a potential strategy to mitigate salinity stress for improving wheat growth and yield.

关键词： PGPR abiotic stress soil salinity ethylene wheat

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Ion-acoustic wave structures in the fluid ions modeled by higher dimensional generalized Korteweg-de Vries-Zakharov-Kuznetsov equation

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Journal of Ocean Engineering and Science 2023年第6期8卷 623-635页

作者： U.Younas J.Ren muhammad Z.Baber muhammad W.Yasin T.shahzad State Key Laboratory of Power Grid Environmental Protection/Henan Academy of Big Data Zhengzhou UniversityZhengzhou 450001China Department of Mathematics and Statistics The University of LahoreLahorePakistan Department of mathematics University of NarowalNarowalPakistn Department of Basic Sciences and Humanities Narowal CampusUniversity of Engineering and Technology Lahore 54890Pakistan

In this paper,the higher dimensional generalized Korteweg-de-Varies-Zakharov-Kuznetsov(gKdV-ZK)equation is under *** model is used in the field of plasma physics which describes the effects of magnetic field on the weak ion-acoustic *** have applied two techniques,called asφ^(6)-model expansion method and the Hirota bilinear method(HBM)to explore the diversity of wave *** solutions are expressed in the form of hyperbolic,periodic and Jacobi elliptic function(JEF)***,the solitary wave solutions are also extracted.A comparison of our results to well-known results is made,and the study concludes that the solutions achieved here are ***,3-dimensional and contour profiles of achieved outcomes are drawn in order to study their dynamics as a function of parameter *** the basis of the obtained results,we can assert that the pro-posed computational methods are straightforward,dynamic,and well-organized,and will be useful for solving more complicated nonlinear problems in a variety of fields,particularly in nonlinear sciences,in conjunction with symbolic ***,our discoveries provide an important milestone in comprehending the structure and physical behavior of complex *** hope that our findings will contribute significantly to our understanding of ocean *** study,we hope,is appropriate and will be of significance to a broad range of experts involved in ocean engineering models.

关键词： Wave solutions gKdV-ZK equation Bilinear transformation φ^(6)-model expansion method

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Framework for Effective Utilization of Distributed Scrum in Software Projects

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Computer Systems Science & Engineering 2023年第1期44卷 407-422页

作者： Basit shahzad Wardah Naeem Awan Fazal-e-Amin Ahsanullah Abro muhammad Shoaib Sultan Alyahya Department of Software Engineering National University of Modern LanguagesIslamabad44000Pakistan Department of Software Engineering College of Computer and Information SciencesKing Saud UniversityRiyadh11543Saudi Arabia Department of Computer Science Sukkur IBA UniversitySindh65200Pakistan Department of Information Systems College of Computer and Information SciencesKing Saud UniversityRiyadh11543Saudi Arabia

There is an emerging interest in using agile methodologies in Global Software Development(GSD)to get the mutual benefits of both *** is currently admired by many development teams as an agile most known meth-odology and considered adequate for collocated *** the same time,stake-holders in GSD are dispersed by geographical,temporal,and socio-cultural *** to the controversial nature of Scrum and GSD,many significant challenges arise that might restrict the use of Scrum in *** conducted a Sys-tematic Literature Review(SLR)by following Kitchenham guidelines to identify the challenges that limit the use of Scrum in GSD and to explore the mitigation strategies adopted by practitioners to resolve the *** validate our reviewfindings,we conducted an industrial survey of 305 *** results of our study are consolidated into a research *** framework represents current best practices and recommendations to mitigate the identified distributed scrum challenges and is validated byfive experts of distributed *** of the expert review were found supportive,reflecting that the framework will help the stakeholders deliver sustainable products by effectively mitigating the identified challenges.

关键词： Global software development distributed Scrum sustainable development challenges mitigation strategies

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Assessment of Sea Water Inundation Along Daboo Creek Area in Indus Delta Region, Pakistan

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Journal of Ocean University of China 2017年第6期16卷 1055-1060页

作者： ZIA Ibrahim ZAFAR Hina shahzad muhammad I. MERAJ Mohsin KAZMI Jamil H. National Institute of Oceanography (NIO) Karachi 75600 Pakistan Department of Geography University of Karachi 75270 Pakistan Earth & Atmospheric Remote Sensing Laboratory (EARL) Department of Meteorology COMSATS Institute of Information Technology (CIIT) Park Road Islamabad 45550 Pakistan

Indus Deltaic Region(IDR) in Pakistan is an erosion vulnerable coast due to the high deep water wave energy. Livelihood of millions of people depends on the fisheries and mangrove forests in IDR. IDR consists of many creeks where Daboo is a major creek located at southeast of the largest city of Pakistan, Karachi. Unfortunately, there has been no detailed study to analyze the damages of sea water intrusion at a large temporal and spatial scale. Therefore, this study is designed to estimate the effects of sea water inundation based on changing sea water surface salinity and sea surface temperature(SST). Sea surface salinity and SST data from two different surveys in Daboo creek during 1986 and 2010 are analyzed to estimate the damages and extent of sea water intrusion. Mean salinity has increased 33.33% whereas mean SST decreased 13.79% from 1987 to 2010. Spatio-temporal analysis of creek area using LANDSAT 5 Thematic mapper(TM) data for the years 1987 and 2010 shows significant amount of erosion at macro scale. Creek area has increased approximately 9.93%(260.86 m^2 per year) which is roughly equal to 60 extensive sized shrimp farms. Further Land Use Land Cover(LULC) analyses for years 2001 and 2014 using LANDSAT 7 Enhanced Thematic Mapper Plus(ETM+) has indicated 42.3% decrease in cultivated land. Wet mud flats have spread out at the inner mouth of creek with enormous increase of 123.3%. Significant sea water intrusion has increased the area of barren land by 37.9%. This also resulted in overall decrease of 6.7% in area covered by mangroves. Therefore, this study recorded a significant evidence of sea water intrusion in IDR that has caused serious damages to community living in the area, economical losses. Additionally, it has also changed the environment by reducing creek biological productivity as reported by earlier studies over other regions of the world.

关键词： sea water intrusion SST salinity Ambro creek CTD

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Radiative properties of matter based on quantum statistical method

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Chinese Physics B 2017年第7期26卷 234-243页

作者： Rukhsana Kouser G Tasneem muhammad Saleem shahzad S Sardar Amjad Ali M H Nasim M Salahuddin Department of Physics and Applied Mathematics Pakistan Institute of Engineering and Applied Sciences Hefei National Laboratory for Physical Sciences at Microscale and Department of Modern Physics University of Science and Technology of China

We present the preliminary results of our code OPAQS（opacity calculation using quantum statistical model） that is based on the self consistent Hartree-Fock-Slater model for the average atom. The code is capable of performing robust calculations of average charge state, frequency-dependent and mean opacities. The accuracy of the atomic model is verified by comparing the calculations of average charge state with various published results. The monochromatic opacities for iron computed at different sets of temperatures and densities are compared with LEDCOP. The Rosseland and Planck opacities for iron and aluminum are validated with some state-of-the-art codes. The results are in good agreement with the published data.

关键词： self-consistent average atom model average ionization state Rosseland opacity Planck opacity

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