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聚乙二醇IFN α在hIV/hCV合并感染的持续病毒学应答者和无应答者中的药效动力学

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世界核心医学期刊文摘（胃肠病学分册） 2006年第10期2卷 51-52页

作者： talal a.h. Ribeiro R.M. Powers K.A. 王铮 Weill Medical College of Cornell University 525 E.68th StreetJ321New YorkNY 10021United States.Dr

Pegylated interferon (PEG-IFN) has become standard therapy for hepatitis C virus (hCV) infection. We evaluated whether PEG-IFN pharmacodynamics and pharmacokinetics account for differences in treatment outcome and whether these parameters might be predictors of therapeutic outcome. Twenty-four IFN-nave, hCV/human immunodeficiency virus-coinfected patients received PEG-IFN α-2b (1.5 μg/kg) once weekly plus daily ribavirin (1,000 or 1,200 mg) for up to 48 weeks. hCV RNA and PEG-IFN αconcentrations were obtained from samples collected frequently after the first 3 PEG-IFN doses. We modeled hCV kinetics incorporating pharmacokinetic and pharmacodynamic parameters. Although PEG-IFN concentrations and pharmacokinetic parameters were similar in sustained virological responders (SVRs) and nonresponders (NRs), the PEG-IFN α-2b concentration that decreases hCV production by 50%(EC50) was lower in SVRs compared with NRs (0.04 vs. 0.45 μg/L [P = .014]). Additionally, the median therapeutic quotient (i.e., the ratio between average PEG-IFN concentration and EC50 [ ˉC/EC50]), and the PEG-IFN concentration at day 7 divided by EC50 (C(7)/EC50) were significantly increased in SVRs compared with NRs after the first (10.1 vs. 1.0 [P = .012], 2.8 vs. 0.3 [P = .007], respectively) and second (14.0 vs. 1.1 [P = .016], 5.4 vs. 0.4 [P = .02], respectively) PEG-IFN doses. All 3 parameters may be used to identify NRs. In conclusion, PEG-IFN concentrations and pharmacokinetic parameters do not differ between SVRs and NRs. In contrast, pharmacodynamic measurements-namely EC50, the therapeutic quotient, and C(7)/EC50-are different in coinfected SVRs and NRs. These parameters might be useful predictors of treatment outcome during the first month of therapy.

关键词：持续病毒学应答 hIV/hCV IFN 药效动力学应答者药代动力学指标丙型肝炎病毒代谢动力学

Optimizing Average Electric Power During the Charging of Lithium-Ion Batteries Through the Taguchi Method

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Transactions of Tianjin University 2024年第2期30卷 152-166页

作者： Mohd h.S.Alra.h.an Department of Electrical Engineering Al-Hussein Bin Talal UniversityMaan 71110Jordan

In recent times, lithium-ion batteries have been widely used owing to their high energy density, extended cycle lifespan, and minimal self-discharge rate. The design of high-speed rechargeable lithium-ion batteries faces a significant challenge owing to the need to increase average electric power during charging. This challenge results from the direct influence of the power level on the rate of chemical reactions occurring in the battery electrodes. In this study, the Taguchi optimization method was used to enhance the average electric power during the charging process of lithium-ion batteries. The Taguchi technique is a statistical strategy that facilitates the systematic and efficient evaluation of numerous experimental variables. The proposed method involved varying seven input factors, including positive electrode thickness, positive electrode material, positive electrode active material volume fraction, negative electrode active material volume fraction, separator thickness, positive current collector thickness, and negative current collector thickness. Three levels were assigned to ea.h.control factor to identify the optimal conditions and maximize the average electric power during charging. Moreover, a variance assessment analysis was conducted to validate the results obtained from the Taguchi analysis. The results revealed that the Taguchi method was an eff ective approa.h.for optimizing the average electric power during the charging of lithium-ion batteries. This indicates that the positive electrode material, followed by the separator thickness and the negative electrode active material volume fraction, was key factors significantly infl uencing the average electric power during the charging of lithium-ion batteries response. The identification of optimal conditions resulted in the improved performance of lithium-ion batteries, extending their potential in various applications. Particularly, lithium-ion batteries with average electric power of 16 W and 17

关键词： Lithium-ion batteries Average electric power during charging Taguchi method COMSOL Multiphysics software C rate L27 orthogonal array

Innovations in education:A prospective study of storytelling narratives to enhance hepatitis C virus knowledge among substance users

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World Journal of hepatology 2022年第5期14卷 972-983页

作者： Andrew h talal Yu-Xin Ding Marianthi Markatou Department of Medicine University at BuffaloState University of New YorkBuffaloNY 14203United States Department of Biostatistics University at BuffaloState University of New YorkBuffaloNY 14214United States

BACKGROUND Even though substance users have the highest hepatitis C virus(hCV)burden,many lack knowledge about the *** of knowledge is an important obstacle to pursuing hCV *** printed materials are conventionally utilized to disseminate hCV-related knowledge,narrative story-telling videos may be an *** are extremely limited,however,in the ability of storytelling videos to increase hCV knowledge among substance *** this study,we hypothesized that a story-telling narrative video would increase substance user’s immediate and 1-month hCV-related knowledge compared to a printed *** To assess immediate and 1-month hCV-related knowledge retention among substance users comparing education delivered via a storytelling narrative video compared to a printed *** We conducted a prospective matched,case-control study among substance users actively prescribed buprenorphine enrolled from two *** intervention site received the video and the control site,the ***(n=176)were matched on age,gender,and *** obtained extensive patient and stakeholder input on the video’s design,validated the video’s content,and developed a recruitment plan to guide participant *** was assessed by administration of a 25-item instrument immediately before,immediately after,or one month after the *** were analyzed using nonparametric and generalized linear mixed-effects *** We recruited a total of 176 substance users,90 and 86 individuals,from ea.h.site,***-month follow up occurred in 92%and 94%of enrollees in the control and intervention groups,*** comparison with the pre-intervention scores,immediate knowledge recall increased significantly for both the intervention(PhCV-related knowledge and retention(P=0.033)among participants who viewed the storytelling video.

关键词： hepatitis C virus education hepatitis C Virus hepatitis C virus knowledge Persons with opioid use disorder Decision-making in healthcare

Middle East respiratory syndrome coronavirus in pediatrics: a report of seven cases from Saudi Arabia

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Frontiers of Medicine 2019年第1期13卷 126-130页

作者： Sarah h. Alfaraj Jaffar A. Al-Tawfiq talal A. Altuwaijri Ziad A. Memish University of British Columbia VancouverV6T 1Z4Canada Corona Center Infectious Diseases DivisionDepartment of PediatricPrince Mohamed Bin Abdulaziz HospitalMinistry of HealthRiyadh 11676Saudi Arabia Indiana University School of Medicine IndianapolisIN 46202USA Johns hopkins Aramco healthcare Dhahran 31311Saudi Arabia Department of Surgery King Saud UniversityRiyadh 11692Saudi Arabia College of Medicine Alfaisal UniversityRiyadh 11533Saudi Arabia Infectious Diseases Division Department of MedicinePrince Mohamed Bin Abdulaziz HospitalMinistry of HealthRiyadh 11676Saudi Arabia Department of Global health Rollins School of Public HealthEmoiy UniversityAtlantaGA 30322USA

Infection with Middle East respiratory syndrome coronavirus (MERS-CoV) emerged in 2012 as an important respiratory disease with high fatality rates of 40%—60%. Despite the increased number of cases over subsequent years, the number of pediatric cases remained low. A review of studies conducted from June 2012 to April 19, 2016 reported 31 pediatric MERS-CoV cases. In this paper, we present the clinical and laboratory features of seven patients with pediatric MERS. Five patients had no underlying medical illnesses, and three patients were asymptomatic. Of the seven cases, four (57%) patients sought medical advice within 1-7 days from the onset of symptoms. The three other patients (43%) were asymptomatic and were in contact with patients with confirmed diagnosis of MERS-CoV. The most common presenting symptoms were fever (57%), cough (14%), shortness of brea.h.(14%), vomiting (28%), and diarrhea (28%). Two (28.6%) patients had platelet counts of had an underlying end-stage renal disease. The remaining patients presented with normal blood count, liver function, and urea and creatinine levels. The documented MERS-CoV Ct values were 32 38 for four of the seven cases. Two patients (28.6%) had abnormal chest radiogra.h.c findings of bilateral infiltration. One patient (14.3%) required ventilator support, and two patients (28.6%) required oxygen supplementation. All the seven patients were discharged without complications.

关键词： Middle East respiratory syndrome coronavirus MERS-CoV pregnancy pediatrics

harnessing Blockchain to Address Plasma Donation Network Challenges

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Computers, Materials & Continua 2023年第7期76卷 631-646页

作者： Shivani Batra Mohammad Zubair Khan Gatish Priyadarshi Ayman Noor talal h.Noor Namrata Sukhija Praka.h.Srivastava Department of Computer Science and Engineering SRM UniversityDelhi-NCR1310029India Department of Computer Science and Information Taibah UniversityMedina42353Saudi Arabia Department of Computer Science and Engineering KIET Group of InstitutionsDelhi-NCRGhaziabad201206India College of Computer Science and Engineering Taibah UniversityMadinahSaudi Arabia College of Computer Science and Engineering Taibah UniversityYanbuMadinahSaudi Arabia Department of Computer Science and Engineering Banasthali VidyapithRajasthan304022India Department of Computer Science and Engineering Graphic Era(Deemed to Be University)Dehradun248002India

Plasma therapy is an extensively used treatment for critically unwell *** this procedure,a legitimate plasma donor who can continue to supply plasma after healing is ***,significant dangers are associated with supply management,such as the ambiguous provenance of plasma and the spread of infected or subpar blood into medicinal ***,from an ideological standpoint,less powerful people may be exploited throughout the contribution ***,there is a danger to the logistics system because there are now just some plasma *** research intends to investigate the blockchain-based solution for blood plasma to facilitate authentic plasma *** parameters,including electronic identification,chain code,and certified ledgers,have the potential to exert a substantial,profound influence on the distribution and implementation process of blood *** understand the practical ramifications of blockchain,the current study provides a proof of concept approa.h.that aims to simulate the procedural code of modern plasma distribution ecosystems using a blockchain-based *** agent-based modeling used in the testing and evaluation mimics the supply chain to assess the blockchain’s feasibility,advantages,and constraints for the plasma.

关键词： Blockchain hyperledger fabric information visibility plasma donation network plasma quality

An IoT-Based Energy Conservation Smart Classroom System

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Intelligent Automation & Soft Computing 2023年第3期35卷 3785-3799页

作者： talal h.Noor El-Sayed Atlam Abdulqader M.Almars Ayman Noor Amer S.Malki College of Computer Science and Engineering Taibah UniversityYanbu46421-7143MedinahKSA Department of Computer Science Faculty of ScienceTanta UniversityTantaEgypt College of Computer Science and Engineering Taibah UniversityMedinahKSA

With the increase of energy consumption worldwide in several domains such as industry,education,and transportation,several technologies played an inﬂuential role in energy conservation such as the Internet of Things(IoT).In this article,we describe the design and implementation of an IoT-based energy conser-vation smart classroom system that contributes to energy conservation in the edu-cation *** proposed system not only allows the user to access and control IoT devices(e.g.,lights,projectors,and air conditions)in real-time,it also has the capability to aggregate the estimated energy consumption of an IoT device,the smart classroom,and the building based on the energy consumption and cost model that we ***,the proposed model aggregates the estimated energy cost according to the Saudi Electricity Company(SEC)***,the model aggregates in real-time the estimated energy conservation percentage and estimated money-saving percentage compared to data collected when the system wasn't *** feasibility and beneﬁts of our system have been validated on a real-world scenario which is a classroom in the college of computer science and engineering,Taibah University,Yanbu *** results of the experimental studies are promising in energy conservation and cost-saving when using our proposed system.

关键词： Energy consumption energy conservation energy cost Internet of Things(IoT) smart classroom

hepatitis C virus knowledge improves hepatitis C virus screening practices among primary care physicians

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World Journal of hepatology 2018年第2期10卷 319-328页

作者： Sandeep T Samuel Anthony D Martinez Yang Chen Marianthi Markatou Andrew h talal Department of Medicine University at BuffaloState University of New YorkBuffaloNY 14203United States Department of Biostatistics University at BuffaloState University of New YorkBuffaloNY 14214United States

AIM To understand the role of knowledge as a promoter of hepatitis C virus(hCV) screening among primary care physicians(PCP).METhODS A 45-item online questionnaire assessing knowledge of hCV natural history, risk factors, and treatment was distributed to 163 PCP. Logistic regression, adjusted for survey responses, assessed associations between PCP knowledge of hCV natural history and treatment and birth cohort(i.e., birth between 1945 and 1965) screening. Response stratification and weighting were used to account for nonresponse and to permit extension of responses to the entire survey population. Associations between various predictors including demogra.h.c characteristics, level of training, and hCV treatment experience and hCV knowledge were *** Ninety-one individuals(55.8%) responded. Abnormal liver enzymes(49.4%), assessment of hCV-related risk factors(30.6%), and birth cohort membership(20%) were the leading hCV screening indications. Most PCP(64.7%) felt that the combination of risk-factor and birth cohort screening utilizing a self-administered survey while awaiting the physician(55.3%) were the most efficient screening practices. Implementation of birth cohort screening was associated with awareness of the recommendations(P-value = 0.01), knowledge of hCV natural history(P-value hCV patients(P-value h knowledge of hCV treatment was also knowledgeable about hCV natural history(P-value h hCV treatment knowledge(P-value = 0.03).CONCLUSION Comprehensive knowledge of hCV is critical to motivate hCV screening. PCP-targeted educational interventions are required to expand the hCV workforce and linkageto-care opportunities as we seek global hCV eradication.

关键词： Viral hepatitis hepatitis C virus global eradication hepatitis C virus diagnosis hepatitis C virus surveillance Knowledge of hepatitis C virus

Adapting Integrated high Concentrated PV Modules and Evacuated Tube Collectors to Minimize Building Energy Consumption in hot Climate

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Smart Grid and Renewable Energy 2019年第10期10卷 237-256页

作者： talal h. Alzanki Kandil M. Kandil Public Authority for Applied Education and Training (PAAET) Electronic Engineering Department College of Technological Studies Shuwaikh Kuwait Public Authority for Applied Education and Training (PAAET) Applied Sciences Department College of Technological Studies Shuwaikh Kuwait

Energy consumption in buildings is considered a significant portion of gross power dissipation, so a great effort is required to design efficient construction. In severe hot wea.h.r conditions as Kuwait, energy required for building cooling and heating results in a.h.ge energy loads and consumption and accordingly high emission rates of carbon dioxide. So, the main purpose of the current work is to convert the existing institutional building to near net-zero energy building (nNZEB) or into a net-zero energy building (NZEB). A combination of integrated high concentrated photovoltaic (hCPV) solar modules and evacuated tube collectors (ETC) are proposed to provide domestic water heating, electricity load as well as cooling consumption of an institutional facility. An equivalent circuit model for single diode is implemented to evaluate triple junction hCPV modules efficiency considering concentration level and temperature effects. A code compatible with TRNSYS subroutines is introduced to optimize evacuated tube collector efficiency. The developed models are validated through comparison with experimental data available from literature. The efficiency of integrated hCPV-ETC unit is optimized by varying the different system parameters. Transient simulation program (TRNSYS) is adapted to determine the performance of various parts of hCPV-ETC system. Furthermore, a theoretical code is introduced to evaluate the environmental effects of the proposed building when integrated with renewable energy systems. The integrated hCPV-ETC fully satisfies the energy required for building lighting and equipment. Utilizing hCPV modules of orientation 25? accomplishes a minimum energy payback time of about 8 years. Integrated solar absorption chiller provides about 64% of the annual air conditioning consumption needed for the studied building. The energy payback period (EPT) or solar cooling system is about 18 years which is significantly larger than that corresponding to hCPV due to the e

关键词： high Concentrated Photovoltaic Evacuated Tube Collector Net-Zero Energy Building Avoided CO2 Emission

Parameter Prediction of Stretch-Blow Molding Process of PET Using Neural Networks

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Journal of Software Engineering and Applications 2019年第7期12卷 278-292页

作者： talal h. Alzanki Mutaz M. Jafar Electronic Engineering Department College of Technological Studies Public Authority for Applied Education and Training (PAAET) Shuwaikh Kuwait

This study presents a parameter selection strategy developed for the Stretch-Blow Molding (SBM) process to minimize the weight of preforms used. The method is based on a predictive model developed using Neural Networks. The temperature distribution model of the preform was predicted using a 3-layer NN model with supervised backpropagation learning. In addition, the model was used to predict the uniform air pressure applied inside the preform, taking into account the relationship between the internal air pressure and the volume of the preform. Parameters were validated using in situ tests and measurements performed on several weights and lengths of a 0.330 Liter Polyethylene Terephthalate (PET) bottles. Tests showed that the model adequately predicts both the blowing kinematics, mainly zone temperatures and blowing and stretching pressures along the walls of the bottle while maintaining the bottle strength and top load requirements. In the second step, the model was combined to automatically compute the lowest preform weight that can be used for a particular 330 ml bottle design providing a uniform wall thickness distribution.

关键词： Stretch-Blow Molding (SBM) Process Polyethylene Terephthalate (PET) Bottles Temperature Distribution Model Uniform Wall Thickness Distribution