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Adherence to Advisory Committee on Immunization Practices in diabetes mellitus patients in Saudi Arabia:A multicenter retrospective study

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World Journal of Diabetes 2024年第3期15卷 440-454页

作者： Saleh Fahad Alqifari Aya K Esmail Dalal M Alarifi Ghalya Y Alsuliman Maram M Alhati May R Mutlaq Mohammed Aldhaeefi Shaden A Alshuaibi Palanisamy Amirthalingam Abrar Abdallah Afaf S Wasel Heba R Hamad Shoroq Alamin tasneem H Atia Tariq Alqahtani Department of Pharmacy Practice University of TabukTabuk 71491Saudi Arabia Department of Clinical Sciences Sulaiman Alrajhi UniversityQassim 52726Saudi Arabia Department of Family Medicine International Medical CenterJeddah 23214Saudi Arabia Clinical and Administrative Pharmacy Sciences College of PharmacyHoward UniversityWashingtonDC 20059United States Department of Pharmacology King Saud Bin Abdulaziz University for Health SciencesKing Abdullah International Medical Research CenterRiyadh 11481Saudi Arabia

BACKGROUND Patients with diabetes mellitus(DM)are predisposed to an increased risk of infection signifying the importance of vaccination to protect against its potentially severe *** Centers for Disease Control and Prevention/Advisory Committee on Immunization Practices(CDC/ACIP)issued immunization recommendations to protect this patient *** To assess the adherence of patients with DM to the CDC/ACIP immunization recommendations in Saudi Arabia and to identify the factors associated with the vaccine adherence *** An observational retrospective study conducted in 2023 was used to collect data on the vaccination records from 13 diabetes care centers in Saudi Arabia with 1000 eligible patients in phase I with data collected through chart review and 709 patients in phase II through online *** Among participants,10.01%(n=71)had never received any vaccine,while 85.89%(n=609)received at least one dose of the coronavirus disease 2019(COVID-19)vaccine,and 34.83%(n=247)had received the annual influenza *** 2.96%(n=21),2.11%(n=15),and 1.12%(n=8)received herpes zoster,tetanus,diphtheria,and pertussis(Tdap),and human papillomavirus(HPV)vaccines,*** patients with DM in Saudi Arabia,the rate of vaccination for annual influenza and COVID-19 vaccines was higher compared to other vaccinations such as herpes zoster,Tdap,pneumococcal,and *** such as vaccine recommendations provided by family physicians or specialists,site of care,income level,DM-related hospitalization history,residency site,hemoglobin A1c(HbA1c)level,and health sector type can significantly influence the vaccination rate in patients with *** non-vaccinated patients with DM,the most reported barriers were lack of knowledge and fear of side *** signifies the need for large-scale research in this area to identify additional factors that might facilitate adherence to CDC/ACIP vaccine recommendations in patients with *** In S

关键词： Diabetes mellitus Vaccine recommendation COVID-19 vaccine Influenza vaccine Pneumococcal vaccine Immunization Retrospective study

Hyperparameter Optimization Based Deep Belief Network for Clean Buses Using Solar Energy Model

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Intelligent Automation & Soft Computing 2023年第7期37卷 1091-1109页

作者： Shekaina Justin Wafaa Saleh tasneem Al Ghamdi J.Shermina College of Engineering Princess Nourah Bint Abdulrahman UniversityRiyadh 84428Kingdom of Saudi Arabia Transport Engineering School of Engineering and The Built Environment Edinburgh Napier UniversityEdinburgh EH105DUK Department of Computing Muscat CollegeUniversity of SterlingUK

Renewable energy has become a solution to the world’s energy concerns in recent ***(PV)technology is the fastest technique to convert solar radiation into ***-powered buses,metros,and cars use PV *** technologies are always *** in the parameters that need to be analysed and examined include PV capabilities,vehicle power requirements,utility patterns,acceleration and deceleration rates,and storage module type and capacity,among *** is intermit-tent and *** forecasting and modelling of PV sys-tem output power are key to managing storage,delivery,and smart *** unparalleled data granularity,a data-driven system could better anticipate solar *** learning(DL)models have gained popularity due to their capacity to handle complex datasets and increase computing *** article introduces the Galactic Swarm Optimization with Deep Belief Network(GSODBN-PPGF)*** GSODBN-PPGF model predicts PV power *** GSODBN-PPGF model normalises data using data *** is used to forecast PV power *** GSO algorithm boosts the DBN model’s predicted ***-PPGF projected 0.002 after 40 h but observed *** GSODBN-PPGF model validation is compared to existing *** showed that the GSODBN-PPGF model outperformed recent *** shows that the proposed model is better at forecasting than other models and can be used to predict the PV power output for the next day.

关键词： Photovoltaic systems solar energy power generation prediction model deep learning

Supporting tuberculosis program in active contact tracing:a case study from Pakistan

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Infectious Diseases of Poverty 2022年第2期11卷 72-76页

作者： Babar tasneem Shaikh Ahmed Khan Laghari Sulaiman Durrani Alina Chaudhry Nabeela Ali Integrated Health System Strengthening and Service Delivery(IHSS-SD)Activity JSI Research&Training Institute Inc.Mezzanine FloorThe Grand Hotel Street 1Sector E-11/1Islamabad 44000Pakistan

Tuberculosis(TB)is on the rise in Pakistan and there could be multiple reasons including poverty,difficulty in access to TB treatment services,non-compliance with treatment,social stigma *** to the TB program managers,limited treatment and testing sites for tuberculosis and lack of trained human resources play a major role in compromising TB management.A major lacuna in the TB control program is the absence of active contact tracing *** is essential for a disease where positive cases are known to be able to infect a further 10-15 individuals in a *** tuberculosis in Pakistan has been beleaguered by funding challenges and other systems’bottlenecks such as lack of skilled human resources and insufficient supply of medicines,despite the fact that disease burden is one of the highest in the *** it is a notifiable disease,active case finding,contact tracing and reporting is notoriously low throughout the *** to diagnostics and treatment facilities has been limited and stigma attached to the disease remains deeply entrenched among the *** have shown that enhanced and active approaches to contact investigation effectively identifies additional patients with TB among household contacts at a relatively modest ***’s Integrated Health Systems Strengthening and Service Delivery Activity extended support to the Health Departments of Sindh and Khyber Pakhtunkhwa *** collaboration with the two provincial TB programs,community based active contact tracing was conducted on 17,696 individuals,based on the index *** the contacts traced,243 cases were diagnosed as drug sensitive or drug resistant *** sessions were conducted to sensitize people on the various aspects of disease and importance of getting *** project also supported establishing three satellite Programmatic Management of Drug Resistant Tuberculosis(PMDT)sites for drug resistant TB treatment,enhancing the programs

关键词： Active contact tracing Community awareness Tuberculosis Pakistan

AI-based small arms firing skill evaluation system in the military domain

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Defence Technology（防务技术） 2023年第11期29卷 164-180页

作者： Rezoanul Hafiz Chandan Nusrat Sharmin Muhaimin Bin Munir Abdur Razzak Tanvir Ahamad Naim tasneem Mubashshira Mokhlesur Rahman Department of Computer Science and Engineering Military Institute of Science and TechnologyDhakaBangladesh

Evaluation system of small arms firing has an important effect in the context of military domain. A partially automated evaluation system has been conducted and performed at the ground level. Automation of such system with the inclusion of artificial intelligence is a much required process. This papers puts focus on designing and developing an AI-based small arms firing evaluation systems in the context of military environment. Initially image processing techniques are used to calculate the target firing score. Additionally, firing errors during the shooting have also been detected using a machine learning algorithm. However, consistency in firing requires an abundance of practice and updated analysis of the previous results. Accuracy and precision are the basic requirements of a good shooter. To test the shooting skill of combatants, firing practices are held by the military personnel at frequent intervals that include 'grouping' and 'shoot to hit' scores. Shortage of skilled personnel and lack of personal interest leads to an inefficient evaluation of the firing standard of a firer. This paper introduces a system that will automatically be able to fetch the target data and evaluate the standard based on the fuzzy *** it will be able to predict the shooter performance based on linear regression ***, it compares with recognized patterns to analyze the individual expertise and suggest improvements based on previous values. The paper is developed on a Small Arms Firing Skill Evaluation System, which makes the whole process of firing and target evaluation faster with better accuracy. The experiment has been conducted on real-time scenarios considering the military field and shows a promising result to evaluate the system automatically.

关键词： Machine learning Processing Firing system Artificial intelligence

Long non-coding RNA(lncRNA):A potential therapeutic target in acute lung injury

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Genes & Diseases 2022年第5期9卷 1258-1268页

作者： Almaz Zaki M.Shadab Ali Vijay Hadda Syed Mansoor Ali Anita Chopra tasneem Fatma Department of Pulmonary Critical Care and Sleep MedicineAll India Institute of Medical SciencesNew Delhi 110029India Department of Biosciences Jamia Millia Islamia UniversityNew Delhi 110025India Department of Biotechnology Jamia Millia Islamia UniversityNew Delhi 110025India Lab Oncology Dr.BRA-IRCHAll India Institute of Medical SciencesNew Delhi 110029India

Acute Lung Injury(ALI)and its severe form Acute Respiratory Distress Syndrome(ARDS)are the major cause of ICU death ***/ARDS is characterized by severe hypoxemia and inflammation that leads to poor lung *** many advances in understanding and management,ALI/ARDS is still causing significant morbidity and *** non-coding RNA(lncRNA)is a fast-growing topic in lung inflammation and *** is a class of non-coding RNA having a length of more than 200 *** has been a center of research for understanding the pathophysiology of various diseases in the past few *** studies have shown that lncRNAs are abundant in acute lung injury/injuries in mouse models and cell *** targeting these long non-coding RNAs,many investigators have demonstrated the alleviation of ALI in various mouse ***,lncRNAs show great promise as a therapeutic target in *** review provides the current state of knowledge about the relationship between lncRNAs in various biological processes in acute lung injury and its use as a potential therapeutic target.

关键词： Acute lung injury Apoptosis Inflammation Long non-coding RNA(lncRNA) Macrophage polarization

Adsorption and desorption of acetone by TiO_(2) clusters:Transition state theory and sensing analysis

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ChemPhysMater 2023年第4期2卷 351-355页

作者： Mudar Ahmed Abdulsattar tasneem Hassan Mahmood Hussein Hakim Abed Hayder M.Abduljalil Department of Pharmacy Al-Rasheed University CollegeBaghdad 10011Iraq Ministry of Science and Technology Baghdad 10011Iraq Department of Physics College of Science for WomenUniversity of BaghdadBaghdad 10011Iraq Department of Physics College of ScienceUniversity of BabylonBabylon 51005Iraq

TiO_(2) cluster sensitivity to acetone adsorption using transition state theory is ***_(10)O_(20) cluster is used to perform the calculations using density functional theory with dispersion *** state and transition state are calculated via thermodynamic energies,i.e.,Gibbs free energy of adsorption and *** rate,response,response time,and recovery time as a function of temperature and acetone concentration are *** burning in the air due to autoignition is considered using a logistic *** results of the theory are compared with available experimental findings that revealed the quality of both theoretical and experimental *** response time decreases with respect to acetone *** the other hand,the recovery time in the desorption phase increases with acetone *** temperature of maximum response is 356℃,while the maximum response value is 2.9.

关键词： TiO_(2) Acetone Transition state Sensor Density functional theory

Revolution in the diagnosis and management of hepatitis C virus infection in current era

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World Journal of Hepatology 2022年第4期14卷 647-669页

作者： Farina M Hanif Zain Majid Nasir Hassan Luck Abbas Ali tasneem Syed Muddasir Laeeq Muhammed Mubarak Department of Hepatogastroenterology Sindh Institute of Urology and TransplantationKarachi 74200SindhPakistan Department of Histopathology Sindh Institute of Urology and TransplantationKarachi 74200SindhPakistan

Chronic hepatitis C virus(HCV)infection is a major global public health problem,particularly in developing part of the *** advances have been made in the early diagnosis and treatment of the *** management has been particularly revolutionized during the past two *** this review,we summarize the major advances in the diagnostic and management armamentarium for chronic HCV *** focus of the present review is on the newer directly acting anti-viral agents,which have revolutionized the management of chronic HCV *** of uncomplicated chronic HCV infection and of specific complications and special at-risk populations of patients will be covered in *** the advent and approval of highly effective and well tolerable oral agents,still many challenges remain,particularly the affordability,the equitable distribution and access to later *** World Health Organization aims to eliminate viral hepatitis including HCV by 2030 since its poses a major public health *** is an urgent need to ensure uniform and early access to diagnostic and therapeutic facilities throughout the world if the later goal has to be realized.

关键词： Hepatitis C virus Interferons Diagnosis Management Directly acting antiviral agents

Identification of wild and farmed broadhead catfish (Clarias macrocephalus Günther,1864) based on morphometry,digestive indexes and flesh quality

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Journal of Oceanology and Limnology 2018年第5期36卷 1788-1797页

作者： Wilawan WHAN-AIR Karun THONGPRAJUKAEW tasneem SALAEHARAE Krueawan YOONRAM Department of Applied Science Faculty of Science Prince of Songkla University

Wild and farmed fish generally dif fer in their nutritional composition. In this study, adult wild and farmed broadhead catfish( Clarias macrocephalus Günther, 1864) were collected and were assessed for various characteristics, namely morphometrics, digestive indexes, and flesh quality. The morphometrics(standard length, body depth, eye width, fin height and tentacle length) and the digestive indexes(intestosomatic index, digestosomatic index, perivisceral fat index and activities of pepsin and lipase) diff ered significantly between the groups(P <0.05) and can be used to distinguish wild fish from farmed fish. In terms of protein synthesis capacity and color, the flesh quality was similar between the groups. However, radical scavenging activities and reducing power were significantly higher in the wild fish than in the farmraised group. The thermal transition characteristics of sarcoplasmic proteins, as well as myosin denaturation enthalpy and fatty acid profiles(C18:2 n6, C20:0, C22:1 n9, C24:0, Σpolyunsaturated fatty acids, and Σn–6) also exhibited potential to enable calls about the fish origin. The proximate chemical composition of whole body did not diff er between the two fish populations. Our findings suggest bioindicators, in terms of morphometrics, digestive indexes and flesh quality, that can be used to identify the origin of fish for forensic purposes, of for conservation biology of this near threatened species. The new nutritional information may be of interest to marketing, consumers, and has a connection to nutritional eff ects on human health.

关键词：养殖鱼类生物学水产业养殖技术

Recognizing production options for pearl millet in Pakistan under changing climate scenarios

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Journal of Integrative Agriculture 2017年第4期16卷 762-773页

作者： Asmat Ullah Ashfaq Ahmad tasneem Khaliq Javaid Akhtar Agro-climatology Laboratory Department of Agronomy University of Agriculture Faisalabad 38040 Pakistan Directorate of Agronomy Ayub Agricultural Research Institute (AARI) Faisalabad 38850 Pakistan Institute of Soil and Environmental Sciences University of Agriculture Faisalabad 38040 Pakistan

Climate change is making the lands a harsher environment all over the world including Pakistan. It is expected to oppose us with three main challenges： increase in temperature up to 2-5℃ （heat stress）, increasing water stress and severe malnourishment due to climate change. It has been foreseen that there will be a 10% increase of dryland areas with climate change in the world, with more variability and incidences of short periods of extreme events （drought and heat stress）. Pearl millet is a hardy, climate smart grain crop, idyllic for environments prone to drought and heat stresses. The crop continues to produce highly nutritious grain sustainably, thereby encouraging the fight against poverty and food insecurity due to its resilience. The crop is more responsive to good production options （planting time, planting density, inter/intra row spacing, nitrogen application and irrigation）. It has high crop growth rate, large leaf area index and high radiation use efficiency that confers its high potential yield. In most of the cases, pearl millet is remained our agricultural answer to the climate calamity that we are facing, because it is selected as water saving, drought tolerant and climate change complaint crop. In view of circumstances, pearl millet cultivation must be retrieved by recognizing production options in context to changing climate scenarios of Pakistan using crop modeling techniques.

关键词： pearl millet production options climate change nitrogen use efficiency radiation use efficiency