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Threefold Optimized Forecasting of Electricity Consumption in Higher Education Institutions

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Computers, Materials & Continua 2022年第11期73卷 2351-2370页

作者： Majida Kazmi Hashim Raza Khan Lubaba Mohammad Hashir Bin khalid saad Ahmed Qazi Faculty of Electrical and Computer Engineering NED University of Engineering and TechnologyKarachi75270Pakistan Neurocomputation Lab National Center of Artificial IntelligenceKarachi75270Pakistan

Energy management benefits both consumers and utility companiesalike. Utility companies remain interested in identifying and reducing energywaste and theft, whereas consumers’ interest remain in lowering their energyexpenses. A large supply-demand gap of over 6 GW exists in Pakistan asreported in 2018. Reducing this gap from the supply side is an expensiveand complex task. However, efficient energy management and distributionon demand side has potential to reduce this gap economically. Electricityload forecasting models are increasingly used by energy managers in takingreal-time tactical decisions to ensure efficient use of resources. Advancementin Machine-learning (ML) technology has enabled accurate forecasting ofelectricity consumption. However, the impact of computation cost affordedby these ML models is often ignored in favour of accuracy. This studyconsiders both accuracy and computation cost as concurrently significantfactors because together they shape the technology environment as well ascreate economic impact. Thus, a three-fold optimized load forecasting modelis proposed which includes (1) application specific parameters selection, (2)impact of different dataset granularities and (3) implementation of specificdata preparation. It deploys and compares the widely used back-propagationArtificial Neural Network (ANN) and Random Forest (RF) models for theprediction of electricity consumption of buildings within a university. In addition to the temporal and historical power consumption date as input parameters, the study also embeds weather data as well as university operationalcalendars resulting in improved performance. The outcomes are indicativethat the granularity i.e. the scale of details in data, and set of reduced and fullinput parameters impact performance accuracies differently for ANN and RFmodels. Experimental results show that overall RF model performed betterboth in terms of accuracy as well as computational time for a 1-min, 15-minand 1-h dataset

关键词： Electricity forecasting short term higher educational institution artificial neural network random forest accuracy computational time

Social Distancing and Isolation Management Using Machine-to-Machine Technologies to Prevent Pandemics

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Computers, Materials & Continua 2021年第6期67卷 3545-3562页

作者： Muhammad saad Maaz Bin Ahmad Muhammad Asif khalid Masood Mohammad A.Al Ghamdi College of Computing and Information Sciences PAF KIETKarachiPakistan Department of Computer Science Lahore Garrison UniversityLahorePakistan Department of Computer Science Umm Al-Qura UniversityMakkah CitySaudi Arabia

Social distancing and self-isolation management are crucial preventive measures that can save millions of lives during challenging pandemics of diseases such as the Spanish u,swine u,and coronavirus disease 2019(COVID-19).This study describes the comprehensive and effective implementation of the Industrial Internet of Things and machine-to-machine technologies for social distancing and smart self-isolation *** technologies can help prevent outbreaks of any disease that can disperse widely and develop into a ***,a smart wristband is proposed that incorporates Bluetooth beacon technology to facilitate the tracing and tracking of Bluetooth Low Energy beacon packets for smart contact ***,the connectivity of the device with Android or iOS applications using long-term evolution technology is realized to achieve ***,mathematical formulations are proposed to measure the distance between coordinates in order to detect geo-fencing *** formulations are specically designed for the virtual circular and polygonal boundaries used to restrict suspected or infected persons from trespassing in predetermined areas,e.g.,at home,in a hospital,or in an isolation *** proposed framework outperforms existing solutions,since it is implemented on a wider scale,provides a range of functionalities,and is cost-effective.

关键词： Coronavirus disease 2019 pandemic machine-to-machine industrial internet of things social distance geo-fencing

Oral administration of Moringa oleifera leaf powder relieves oxidative stress,modulates mucosal immune response and cecal microbiota after exposure to heat stress in New Zealand White rabbits

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Journal of Animal Science and Biotechnology 2021年第4期12卷 1468-1482页

作者： Talat Bilal Yasoob Defu Yu Abdur Rauf khalid Zhen Zhang Xiaofeng Zhu Heba M.saad Suqin Hang National Center for International Research on Animal Gut Nutrition Nanjing Agricultural UniversityNo.1 WeiGangXuanwu regionNanjing 210095JiangsuChina Laboratory of Gastrointestinal Microbiology College of Animal Science and TechnologyNanjing Agricultural UniversityNanjing 210095China Faculty of Agricultural Sciences Ghazi UniversityDera Ghazi Khan 32200Pakistan Department of Livestock and Poultry Production Faculty of Veterinary SciencesBahauddin Zakariya UniversityMultan 60000Pakistan

Background:Heat stress(HS)disrupts the gut barrier allowing the uptake of lipopolysaccharide(LPS)and leads to an inflammatory response and changes in gut microbiota *** oleifera leaf powder(MOLP)has been proposed to combat HS,yet its alleviate role is currently under *** current study investigated the effects of chronic HS and MOLP supplementation on changes in redox status and immune response of cecal mucosa along with alteration in cecal ***:A total of 21 young New Zealand White(NZW)rabbits(male)about 32 weeks old(mean body weight of 3318±171 g)reared on a commercial pelleted diet were employed;divided into three groups(n=7):control(CON,25°C),heat stress(HS,35°C for 7 h daily),and HS supplemented orally with MOLP(HSM,35°C)at 200 mg/kg body weight per day for 4 ***:The results demonstrated that MOLP supplementation increased organ index of cecal tissue compared with the HS group(P>0.05).Levels of malonaldehyde(MDA)and activity of superoxide dismutase(SOD)as well as lactate dehydrogenase(LDH)were reduced in the cecal mucosa of the HSM group compared with the HS *** downregulated the contents of cecal mucosa LPS,several inflammatory markers(TNF-α/IL-1α/IL-1β),and myeloperoxidase(MPO)in the HSM group(P<0.05).Secretory immunoglobulin A(SIgA)was increased in the HSM group compared with the HS group(P<0.05).The transcriptome of cecal mucosa showed that MOLP reduced gene expression relative to several immune factors,including IL-10,IFNG,and RLA,whereas both HS and MOLP increased the gene expression of fat digestion and absorption pathway,including APOA1,FABP1,FABP2,MTTP,andLOC100344166,compared to the CON group(P<0.001).At the phylum level,the relative abundance of Proteobacteria was increased by HS,while Actinobacteria was significantly increased by HSM compared to other groups(P<0.05).At genus level,Papillibacter was higher in abundance in HSM groups compared to CON and HS groups(P<0.05).Higher butyrate conce

关键词： Cecal microbiota Heat stress Moringa oleifera leaf powder Rabbits Short chain fatty acids

New Ulva lactuca Algae Based Chitosan Bio-composites for Bioremediation of Cd(II)Ions

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Journal of Bioresources and Bioproducts 2021年第3期6卷 223-242页

作者： Eman M.saad Reda F.Elshaarawy Safaa A.Mahmoud khalid M.El-Moselhy Department of Chemistry Faculty of ScienceSuez UniversitySuezEgypt National Institute of Oceanography and Fisheries NIOFEgypt

The current article covers the production of chitosan(CS)from shells of shrimp waste and its utilization in the preparation of eco-friendly imprinting and non-imprinting composites with Ulva lactuca algae(Alg).These bio-composites namely(Imp-Alg-25wt%CS)and(NImp-Alg-25wt%CS)were used for removal of Cd(II)*** transform infrared(FT-IR)spectra,scanning electron microscope(SEM)equipped with electron dispersive X-ray(EDX),X-ray diffraction(XRD),and elemental analysis measurements were performed to characterize these bio-composites *** highest adsorption of these sorbents towards Cd(II)ions was determined as a function of solutions pH,contact time,Cd(II)ion concentration,beads dose,and *** equilibrium experimental data were treated using various mathematical isotherm and kinetic models to approve the maximum bio-sorption capacities of NImp-Alg-25wt%CS and Imp-Alg-25wt%CS(in mg/g).The results exhibited that Imp-Alg-25wt%CS gave higher removal capacity than NImp-Alg-25wt%CS at the same optimum ***-2nd order dynamic and Langmuir isotherm models were well described in these biosorption ***,the removal behavior of Cd(II)using both bio-composites was spontaneous at room *** reusability of the sorbents,NImp-Alg-25wt%CS and Imp-Alg-25wt%CS,showed three *** addition,comparative study was also conducted for Cd(II)removal onto some reported sorbents.

关键词： Cadmium Bio-sorbent Chitosan Algae Bio-composites

Water-filling algorithm based approach for management of responsive residential loads

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Journal of Modern Power Systems and Clean Energy 2018年第1期6卷 118-131页

作者： Zunaib Maqsood HAIDER Khawaja khalid MEHMOOD Muhammad Kashif RAFIQUE saad Ullah KHAN Soon-Jeong LEE Chul-Hwan KIM College of Information and Communication Engineering Sungkyunkwan University

Integration of large number of electric vehicles(EVs)with distribution networks is devastating for conventional power system devices such as transformers and power lines *** paper proposes a methodology for management of responsive household appliances management and EVs with water-filling *** the proposed scheme,the load profile of a transformer is retained below its rated capacity while minimally affecting the associated *** the instantaneous demand at transformer increases beyond its capacity,the proposed methodology dynamically allocates demand curtailment limit(DCL)to each home served by *** DCL allocation takes convenience factors,load profile and information of flexible appliances into account to assure the comfort of all the *** proposed scheme is verified by modeling and simulating five houses and a distribution *** smart appliances such as an HVAC,a water heater,a cloth dryer and an EV are also modeled for the *** show that the proposed scheme performs to reduce overloading effects of the transformer efficiently and assures comfort of the consumers at the same time.

关键词： Water-filling(WF) algorithm Responsive household appliances management(RHAM) Electric vehicle(EV) Demand curtailment limit(DCL) Convenience factor Load profile

Blockchain and IIoT Enabled Solution for Social Distancing and Isolation Management to Prevent Pandemics

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Computers, Materials & Continua 2023年第7期76卷 687-709页

作者： Muhammad saad Maaz Bin Ahmad Muhammad Asif Muhammad khalid Khan Toqeer Mahmood Elsayed Tag Eldin Hala Abdel Hameed College of Computing and Information Sciences Karachi Institute of Economics&TechnologyKarachiPakistan Department of Computer Science Lahore Garrison UniversityLahorePakistan Department of Computer Science National Textile UniversityFaisalabad37610Pakistan Faculty of Engineering and Technology Future University in Egypt New Cairo11835Egypt Faculty of Computer and Information Systems Fayoum UniversityFaiyumEgypt Khaybar Applied College Taibah UniversityMedinaSaudi Arabia

Pandemics have always been a nightmare for humanity,especially in developing *** lockdowns are considered one of the effective ways to deal with spreading such ***,developing countries cannot afford such solutions because these may severely damage the country’s ***,this study presents the proactive technological mechanisms for business organizations to run their standard business processes during pandemic-like situations *** novelty of this study is to provide a state-of-the-art solution to prevent pandemics using industrial internet of things(IIoT)and blockchain-enabled *** to existing studies,the immutable and tamper-proof contact tracing and quarantine management solution is *** use of advanced technologies and information security is a critical area for practitioners in the internet of things(IoT)and corresponding ***,this study also emphasizes information security,end-to-end solution,and experimental ***,a wearable wristband is proposed,incorporating 4G-enabled ultra-wideband(UWB)technology for smart contact tracing mechanisms in industries to comply with standard operating procedures outlined by the world health organization(WHO).Secondly,distributed ledger technology(DLT)omits the centralized dependency for transmitting contact tracing ***,a privacy-preserving tracing mechanism is discussed using a public/private key cryptography-based authentication ***,based on geofencing techniques,blockchain-enabled machine-to-machine(M2M)technology is proposed for quarantine *** step-by-step methodology and test results are proposed to ensure contact tracing and quarantine *** existing research studies,the security aspect is also considered in the realm of *** practical implementation of the proposed solution also obtains the *** results indicate the successful implementation of blockchain-enabled contac

关键词： Blockchain contact tracing distributed ledger technology geo-fencing internet of things industrial internet of things isolation management social distancing ultra-wideband

Nigella sativa oil alleviates doxorubicin-induced cardiomyopathy and neurobehavioral changes in mice:In vivo and in-silico study

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Asian Pacific Journal of Tropical Biomedicine 2022年第7期12卷 312-322页

作者： Md Jamir Anwar Sattam Khulaif Alenezi Faizul Azam Danish Mahmood Faisal Imam khalid saad Alharbi Department of Pharmacology and Toxicology Unaizah College of PharmacyQassim UniversityAl-QassimSaudi Arabia Department of Pharmaceutical Chemistry&Pharmacognosy Unaizah College of PharmacyQassim UniversityAl-QassimSaudi Arabia Department of Pharmacology and Toxicology College of PharmacyKing Saud UniversityRiyadhSaudi Arabia Department of Pharmacology College of PharmacyJouf UniversitySakakahSaudi Arabia

Objective:To investigate the effect of Nigella sativa oil on cardiomyopathy and neurobehavioral changes induced by doxorubicin in ***:Swiss strain of albino female mice were divided into 6 groups of 5 animals in each:GroupⅠ(control group),groupⅡ(doxorubicin,10 mg/kg,i.v.),groupⅢ,Ⅳ,andⅤ(Nigella sativa oil;1.5,3,and 6 mL/kg,respectively),groupⅥ(Nigella sativa oil per se;6 mL/kg,p.o.).The duration of treatment was 15 d(10 days’pre-treatment and 5 days’post-treatment)and doxorubicin was administered on day 11th of the treatment *** Nigella sativa oil treatment,neurobehavioral tests,cardiac hypertrophy tests,and biochemical tests in serum and tissues were *** tests included assessment of anxiety-like behavior in the elevated plus maze,spontaneous alternation behavior in the cross maze,and depression-like behavior in modified forced swim *** tests included serum lactate dehydrogenase and creatinine kinase-MB,malondialdehyde and reduced glutathione in ***,molecular docking was used to estimate the affinity of the phytoconstituents of Nigella sativa oil with histone ***:Nigella sativa oil treatment significantly(P<0.001)restored doxorubicin-induced neurobehavioral changes,decreased lactate dehydrogenase and creatinine kinase-MB in the plasma,malondialdehyde contents in tissues,and increased reduced glutathione ***,no significant alteration was observed in Nigella sativa oil per se group as compared to the *** docking showed that Nigella sativa oil components had appreciable binding affinitiy with the protein cavities of HDAC1 and ***:The result shows that Nigella sativa oil exerts anxiolytic,antidepressant,and memory-enhancing effects in addition to cardioprotective effect against doxorubicin-induced cardiomyopathy in *** modulatory effect of Nigella sativa oil on oxidative stress could contribute to the cardioprotective effect and associated neuro

关键词： Nigella sativa oil Doxorubicin Cardiomyopathy Neurobehavioral changes Lactate dehydrogenase Creatinine kinase-MB Malondialdehyde Reduced glutathione Mice HDAC docking

Efficient Training of Multi-Layer Neural Networks to Achieve Faster Validation

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Computer Systems Science & Engineering 2021年第3期36卷 435-450页

作者： Adel saad Assiri Management Information Systems Department College of BusinessKing Khalid UniversityAbhaSaudi Arabia

Artificial neural networks(ANNs)are one of the hottest topics in computer science and artificial intelligence due to their potential and advantages in analyzing real-world problems in various disciplines,including but not limited to physics,biology,chemistry,and ***,ANNs lack several key characteristics of biological neural networks,such as sparsity,scale-freeness,and *** concept of sparse and scale-free neural networks has been introduced to fill this *** sparsity is implemented by removing weak weights between neurons during the learning process and replacing them with random *** the network is initialized,the neural network is fully connected,which means the number of weights is four times the number of *** this study,considering that a biological neural network has some degree of initial sparsity,we design an ANN with a prescribed level of initial *** neural network is tested on handwritten digits,Arabic characters,CIFAR-10,and Reuters newswire *** show that it is possible to reduce the number of weights by up to 50%without losing prediction ***,in both cases,the testing time is dramatically reduced compared with fully connected ANNs.

关键词： Sparsity weak weights multi-layer neural network NN training with initial sparsity

Diabetes mellitus is not associated with worse short term outcome in patients older than 65 years old post-liver transplantation

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World Journal of Hepatology 2023年第2期15卷 274-281页

作者： saad Alghamdi Shaden Alamro Dhari Alobaid Elwy Soliman Ali Albenmousa khalid Ibrahim Bzeizi Saleh Alabbad Saleh A Alqahtani Dieter Broering Waleed Al-Hamoudi Liver and Small Bowel Health Centre Department KFSHRCRiyadh 11211Saudi Arabia Department of Medicine KFSHRCRiyadh 11211Saudi Arabia Department of Internal Medicine Minia UniversityMinya 61519Egypt Division of Gastroenterology and Hepatology Johns Hopkins UniversityBaltimoreMD 21287United States Liver Disease Research Center Department of MedicineCollege of MedicineKing Saud UniversityRiyadh 11451Saudi Arabia

BACKGROUND Non-alcoholic fatty liver disease is a global health care challenge and a leading indication of liver transplantation(LT).Hence,more patients with diabetes mellitus(DM)are undergoing LT,especially,above the age of *** To evaluate the impact of DM on short-term outcomes post-LT in patients over the age of *** We collected data of patients who underwent LT from January 2001 until December 2019 using our electronic medical *** assessed the impact of DM on short-term outcomes,one-year,post-LT based on the following variables:Survival at one year;acute cellular rejection(ACR)rates;intensive care unit(ICU)and hospital length of stay;and *** Total of 148 patients who are 65 year or older underwent LT during the study *** mean age is 68.5±3.3 years and 67.6%were *** median Model for End-stage Liver Disease score at time of transplantation was 22(6-39),39%of patients had hepatocellular carcinoma and 77.7%underwent living donor *** one-year survival was similar between DM patients and others,91%.ACR occurred in 13.5%of patients(P=0.902).The median ICU stay is 4.5-day P=*** rates of ICU and 90-d readmission were similar(P=0.821)and(P=0.194),*** The short-term outcome of elderly diabetic patients undergoing LT is similar to *** presence of DM in elderly LT candidates should not discourage physicians from transplant consideration in this cohort of patients.

关键词： Acute cellular rejection Diabetes mellitus Elderly Graft survival Liver transplantation