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哺乳动物细胞多不饱和脂肪酸合成酶系的重建将亚油酸代谢转变为二十二碳六烯酸

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生物工程学报 2015年第2期31卷 281-290页

作者：朱贵明 abdulmomen ali mohammed saleh Said Ahmed Bahwal 邱立红孙洁商宇江旭东葛堂栋张涛佳木斯大学基础医学院黑龙江佳木斯154007

二十二碳六烯酸(DHA,22:6n-3)是一种长度为22个碳原子且含有6个双键的ω-3系多不饱和脂肪酸,在人体中具有重要生物学功能。人体及其他哺乳动物体内只能合成少量的DHA,更多的需求必须从食物中获取。然而,DHA的天然资源(主要是深海鱼类等... 详细信息

二十二碳六烯酸(DHA,22:6n-3)是一种长度为22个碳原子且含有6个双键的ω-3系多不饱和脂肪酸,在人体中具有重要生物学功能。人体及其他哺乳动物体内只能合成少量的DHA,更多的需求必须从食物中获取。然而,DHA的天然资源(主要是深海鱼类等海洋产品)日趋枯竭,开发新型资源以满足不断扩大的市场需求势在必行。本研究利用转基因技术,在哺乳动物细胞中使Δ6和Δ5脂肪酸去饱和酶以及Δ6和Δ5脂肪酸延长酶超表达,同时表达来源于秀丽隐杆线虫Caenorhabditis elegans的Δ15去饱和酶和小眼虫Euglena gracilis的Δ4去饱和酶,结果表明,这6种酶的表达或超表达能将ω-6系的亚油酸(LA,18:2n-6)有效地转化为DHA(22:6n-3),后者的含量从对照组的16.74%提高到实验组的25.3%。本研究的策略及技术路线为将来利用遗传改造的哺乳动物生产珍稀的DHA(22:6n-3)等长链多不饱和脂肪酸产品提供了重要的启示。

关键词：多不饱和脂肪酸脂肪酸去饱和酶脂肪酸延长酶多基因表达载体转基因

Kaoline-based catalyst for a high stability desulfurization of sour heavy naphtha in a three-phase oscillatory baffled reactor

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Particuology 2024年第1期84卷 249-260页

作者： Hassan M.Hmood Saba A.Gheni Safaa M.R.Ahmed Mudheher M.ali Hamid Yonis saleh mohammed H.mohammed Awad E.mohammed Marwan A.Mahomood Hiba R.mohammed Ahmed A.Hassan Adam Harvey North Refineries Company Ministry of OilIraq Chemical Engineering Department Tikrit UniversityIraq Ministry of Oil Iraq AL-Hawija Technical Institute Northern Technical UniversityMoselIraq School of Engineering Newcastle UniversityUK

To meet the rapidly increasing demand for energy and the dramatic depletion of conventional crude oil,it is imperative to utilize sour *** no coke being produced,oxidative desulfurization(ODS)of naphtha lowers its sulfur content and average molecular *** this article,we outline a method for heavy naphtha non-extractive ODS using a very stable *** technique involves the use of a solid catalyst with oxygen gas as the *** necessitated relatively high mixing intensities;hence a three-phase Oscillatory Baffled Reactor(OBR)was *** catalyst was based on the zeolite ZSM-5,prepared from natural kaolin by a series of delamination and activation steps and impregnated with Fe.A TiO2 nanolayer was applied,using the sol-gel method,to prevent rapid *** reactor performance was evaluated to minimize the sulfur content in the naphtha *** to the protective coating,the sulfur conversion stabilized at 90%.The results of this work establish the use of natural clay-based catalysts in a continuous,three-phase ODS,particularly with regard to proving long-term *** also showed that modest ODS can be achieved using an environmentally friendly oxidant,at mild operating conditions,whilst maintaining stability.

关键词： Natural kaoline Desulfurization Three-phase Oscillatory baffled reactor

The Impact of Blood Transfusion on the Efficiency of Stem Cell Transplants

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Case Reports in Clinical Medicine 2024年第8期13卷 328-338页

作者： Amer Saud AL-Humaidan saleh Saud Almutairi mohammed Hussain Khubrani Raffah Mahdi Bajudah Waleed Mohammad Alzabidi mohammed Hafiz Almasabi Bader mohammed saleh Alhomaid Waad ali Alshehri Wejdan saleh Alghamdi Raghad Abdullah Alwthinani Department of Pathology and Laboratory King Abdulaziz Medical City Ministry of National Guard Health Affairs Riyadh Saudi Arabia

Background: While blood product transfusion is essential for managing hematologic deficits in Allogenic Hematopoietic stem cell transplant (AHSCT) recipients, it has risks including infectious disease transmission, alloimmunization, and transfusion reactions. These risks have sparked an ongoing debate regarding the overall impact of transfusions on patient outcomes. Thus, this study aimed to evaluate the impact of Red Blood Cells (RBCs) and/or platelet transfusion on the infection incidence and overall survival in AHSCT patients. Methods: We performed a retrospective analysis of clinical and laboratory data of sixty adult patients with primary malignant hematological disorder who had undergone AHSCT. Participants’ data were categorized into two groups;Group 1 (low transfusion group) consisted of patients receiving 10 units. Quantitative data were expressed as mean ± SD. The t-test of significance and Chi-square (χ2) test were used, with p ≤ 0.05 considered significant. Result: A total of 60 patients’ data was included. In Group 1, out of 30 patients, 13 (43.33%) developed infections. In contrast, Group 2 had 21 (70%) out of 30 patients develop infections. Group 1 had a higher survival rate (57.8%) than Group 2 (transfusion > 10 units) (46.2%) with a chi-square value = 23.56, and p-value Conclusion: The volume of blood product transfusions has a considerable impact on patient outcomes, particularly infection and survival rates. Additional long-term prospective studies and larger randomized controlled trials are needed to strengthen the evidence for determining transfusion protocols for these patients.

关键词： Hematologic Neoplasms Hematopoietic Stem Cell Transplantation Blood Transfusion Survival Rate

Practical guide:Glucagon-like peptide-1 and dual glucosedependent insulinotropic polypeptide and glucagon-like peptide-1 receptor agonists in diabetes mellitus

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World Journal of Diabetes 2024年第3期15卷 331-347页

作者： saleh Fahad Alqifari Omar Alkomi Abdullah Esmail Khadijeh Alkhawami Shahd Yousri Mohamad Ayham Muqresh Nawwarah Alharbi Abdullah A Khojah Ahmed Aljabri Abdulrahman Allahham Kousalya Prabahar Hanan Alshareef mohammed Aldhaeefi Tariq Alrasheed ali Alrabiah Laila A AlBishi Department of Pharmacy Practice Faculty of PharmacyUniversity of TabukTabuk 71491Saudi Arabia Department of Clinical Sciences Sulaiman Alrajhi University-College of MedicineAl Bukayriyah 52726Saudi Arabia Department of Family Medicine Dr.Soliman Fakeeh Hospital DSFHJeddah 21461Saudi Arabia Department of Pharmacy Practice Faculty of PharmacyKing Abdulaziz UniversityJeddah 22252Saudi Arabia Clinical and Administrative Pharmacy Sciences College of PharmacyHoward UniversityWashingtonDC 20059United States Department of Internal Medicine Faculty of MedicineUniversity of TabukTabuk 71491Saudi Arabia Department of Pharmacy Practice Raabe College of PharmacyOhio Northern UniversityOhioOH 45810United States Department of Pediatric Faculty of MedicineUniversity of TabukTabuk 71491Saudi Arabia

Practical guide:Glucagon-like peptide-1 and dual glucosedependent insulinotropic polypeptide and glucagon-like peptide-1 receptor agonists in diabetes mellitus common second-line choice after metformin for treating *** considerations can make selecting and switching between different GLP-1 RAs *** study aims to provide a comprehensive guide for the usage of GLP-1 RAs and dual GIP and GLP-1 RAs for the management of T2DM.

关键词： Glucagon-like peptide-1 receptor agonist Diabetes mellitus Metabolic syndrome Dual glucose-dependent insulinotropic polypeptide and glucagon-like peptide-1 receptor agonist Clinical practice Endocrinology

Furuncular myiasis by Wohlfahrtia magnifica(Diptera:Sarcophagidae)in a healthy child

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Asian Pacific Journal of Tropical Medicine 2022年第2期15卷 87-89页

作者： Majed Hamdi Wakid Angham Ahmed Almakki Nouf saleh Alsahaf mohammed ali Almatrafi King Abdulaziz University Faculty of Applied Medical SciencesDepartment of Medical Laboratory TechnologyJeddahSaudi Arabia Special Infectious Agent Unit King Fahd Medical Research CenterKing Abdulaziz UniversityJeddahSaudi Arabia Department of Laboratory and Blood Bank Security Forces HospitalMakkahSaudi Arabia Medical College Umm Al Qura UniversityMakkahSaudi Arabia Department of Pediatrics Umm Al Qura UniversityMakkahSaudi Arabia Department of Pediatrics Security Forces HospitalMakkahSaudi Arabia

Rationale:Human myiasis is the invasion of tissue or organs by fly *** could be obligatory,facultative,or *** concerns:A 4-year-old Saudi boy complained of fever over the past three days with multiple inflamed painful dermal furuncles and worms-like ***:Furuncular obligatory myiasis caused by Wohlfahrtia ***:Maggots were removed for *** wounds were cleaned with antiseptic *** and oral antibiotics were ***:Seven days later,the wounds completely ***:Although several reports correlated human myiasis with old age,low health status,mental retardation,and low socioeconomic status,but the patient in our case was a healthy child from a family with good socioeconomic status,good hygiene,no history of diseases or mental disability,but traveled to a village where the climate is suitable for fly breeding.

关键词： Furuncule Myiasis Wohlfahrtia magnifica Maggots Saudi Arabia

Distinctive clinical and laboratory features of COVID-19 and H1N1 influenza infections among hospitalized pediatric patients

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World Journal of Pediatrics 2021年第3期17卷 272-279页

作者： ali Alsuheel Asseri Ayed A.Shati saleh M.Al-Qahtani Ibrahim A.Alzaydani Ahmed A.Al-Jarie mohammed J.Alaliani Abdelwahid Saeed ali Department of Child Health College of MedicineKing Khalid UniversityAbhaSaudi Arabia Department of Pediatrics Abha Maternity and Children HospitalAbhaSaudi Arabia General Directorate of Health Affairs Infection Prevention and Control AdministrationAseer RegionMinistry of HealthAbhaSaudi Arabia Department of Microbiology and Clinical Parasitology College of MedicineKing Khalid UniversityAbhaSaudi Arabia

Background It had been documented in many studies that pediatric coronavirus disease 2019(COVID-19)is characterized by low infectivity rates,low mortalities,and benign disease *** the other hand,influenza type A viruses are recognized to cause severe and fatal infections in children populations *** study is aimed to compare the clinical and laboratory characteristics of COVID-19 and H1N1 influenza *** A retrospective study comprising 107 children hospitalized at Abha Maternity and Children Hospital,Southern region of Saudi Arabia,with laboratory-confirmed COVID-19 and H1N1 influenza infections was carried out.A complete follow-up for all patients from the hospital admission until discharge or death was *** clinical data and laboratory parameters for these patients were collected from the medical records of the *** Out of the total enrolled patients,73(68.2%)were diagnosed with COVID-19,and 34(31.8%)were diagnosed with H1N1 *** median age is 12 months for COVID-19 patients and 36 months for influenza patients.A relatively higher number of patients with influenza had a fever and respiratory symptoms than COVID-19 *** contrast,gastrointestinal symptoms were observed in a higher number of COVID-19 patients than in influenza patients.A statistically significant increase in white cell counts is noted in COVID-19 but not in influenza patients(Palization between COVID-19 and influenza ***,the total intensive care unit length of stay was longer for influenza compared to COVID-19 *** A considerable number of children infected with COVID-19 and H1N1 influenza were noted and reported in this *** were no significant variations in the severity of the symptomatology and laboratory findings between the two groups of *** differences between these patients in some hospitalization facto

关键词： Children Coronavirus disease 2019 H1N1 influenza.Laboratory indices Symptoms

Week Ahead Electricity Power and Price Forecasting Using Improved DenseNet-121 Method

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Computers, Materials & Continua 2022年第9期72卷 4249-4265页

作者： Muhammad Irfan ali Raza Faisal Althobiani Nasir Ayub Muhammad Idrees Zain ali Kashif Rizwan Abdullah Saeed Alwadie saleh mohammed Ghonaim Hesham Abdushkour Saifur Rahman Omar Alshorman Samar Alqhtani Electrical Engineering Department College of EngineeringNajran University Saudi ArabiaNajran61441Saudi Arabia Department of Computer Science COMSATS University IslamabadWah Campus22060Pakistan Faculty of Maritime Studies King Abdulaziz UniversityJeddah21589Saudi Arabia Department of Computer Science Federal Urdu University of ArtsScience and TechnologyIslamabad44000Pakistan School of Electrical Engineering and Computer Science National University of Science and TechnologyIslamabad44000Pakistan Department of Computer Science and Engineering University of Engineering and TechnologyNarowal CampusLahore54000Pakistan Department of Electrical Engineering HITEC UniversityTaxila47080Pakistan College of Computer Science and Information Systems Najran UniversityNajran61441Saudi Arabia

In the Smart Grid(SG)residential environment,consumers change their power consumption routine according to the price and incentives announced by the utility,which causes the prices to deviate from the initial ***,electricity demand and price forecasting play a significant role and can help in terms of reliability and *** to the massive amount of data,big data analytics for forecasting becomes a hot topic in the SG *** this paper,the changing and non-linearity of consumer consumption pattern complex data is taken as *** minimize the computational cost and complexity of the data,the average of the feature engineering approaches includes:Recursive Feature Eliminator(RFE),Extreme Gradient Boosting(XGboost),Random Forest(RF),and are upgraded to extract the most relevant and significant *** this end,we have proposed the DensetNet-121 network and Support Vector Machine(SVM)ensemble with Aquila Optimizer(AO)to ensure adaptability and handle the complexity of data in the ***,the AO method helps to tune the parameters of DensNet(121 layers)and SVM,which achieves less training loss,computational time,minimized overfitting problems and more training/test *** evaluation metrics and statistical analysis validate the proposed model results are better than the benchmark *** proposed method has achieved a minimal value of the Mean Average Percentage Error(MAPE)rate i.e.,8%by DenseNet-AO and 6%by SVM-AO and the maximum accurateness rate of 92%and 95%,respectively.

关键词： Smart grid deep neural networks consumer demand big data analytics load forecasting price forecasting

An Optimized Design of Antenna Arrays for the Smart Antenna Systems

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Computers, Materials & Continua 2021年第11期69卷 1979-1994页

作者： Fahd N.Al-Wesabi Murad A.A.Almekhlafi Huda G.Iskandar Adnan Zain saleh Alzahrani mohammed Alamgeer Nadhem Nemri Sami Dhabi Mohammad Medani ali.M.Al-Sharafi Department of Computer Science King Khalid UniversityMuhayel AseerKingdom of Saudi Arabia Faculty of Computer and IT Sana’a UniversitySana’aYemen Department of Electrical Engineering–Communication Engineering Sana’a UniversityYemen School of Computing Faculty of EngineeringUniversiti Teknologi MalaysiaMalaysia Department of Electronics and Communication Engineering Faculty of EngineeringUniversity of AdenYemen Department of Information Systems King Khalid UniversityMuhayel AseerKingdom of Saudi Arabia Department of Computer Science College of Computers and Information TechnologyUniversity of BishaKSA

In recent years,there has been an increasing demand to improve cellular communication services in several *** aspect that received the most attention is improving the quality of coverage through using smart antennas which consist of array *** paper investigates the main characteristics and design of the three types of array antennas of the base station for better coverage through simulation(MATLAB)which provides field and strength patterns measured in polar and rectangular coordinates for a variety of conditions including broadsides,ordinary End-fire,and increasing directivity End-fire which is typically used in smart *** method of analysis was applied to twenty experiments of process design to each antenna type separately,so sixty results were obtained from the radiation pattern indicating the parameters for each radiation ***,nineteen design experiments were described in this *** is hoped that the results obtained from this study will help engineers solve coverage problems as well as improve the quality of cellular communication networks.

关键词： Smart antenna antenna arrays patterns construction coverage

Energy Theft Identification Using Adaboost Ensembler in the Smart Grids

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Computers, Materials & Continua 2022年第7期72卷 2141-2158页

作者： Muhammad Irfan Nasir Ayub Faisal Althobiani Zain ali Muhammad Idrees Saeed Ullah Saifur Rahman Abdullah Saeed Alwadie saleh mohammed Ghonaim Hesham Abdushkour Fahad Salem Alkahtani Samar Alqhtani Piotr Gas Electrical Engineering Department College of EngineeringNajran University Saudi ArabiaNajran61441Saudi Arabia Department of Computer Science Federal Urdu University of Science and TechnologyIslamabad44000Pakistan Faculty of Maritime Studies King Abdulaziz UniversityJeddah21589Saudi Arabia Department of Electrical Engineering HITEC UniversityTaxila47080Pakistan Department of Computer Science and Engineering University of Engineering and TechnologyNarowal CampusLahore54000Pakistan College of Computer Science and Information Systems Najran UniversityNajran61441Saudi Arabia Department of Electrical and Power Engineering AGH University of Science and Technology Mickiewicza 30 AvenueKrakow30-059Poland

One of the major concerns for the utilities in the Smart Grid(SG)is electricity *** the implementation of smart meters,the frequency of energy usage and data collection from smart homes has increased,which makes it possible for advanced data analysis that was not previously *** this purpose,we have taken historical data of energy thieves and normal *** avoid imbalance observation,biased estimates,we applied the interpolation ***,the data unbalancing issue is resolved in this paper by Nearmiss undersampling technique and makes the data suitable for further *** proposing an improved version of Zeiler and Fergus Net(ZFNet)as a feature extraction approach,we had able to reduce the model’s time *** minimize the overfitting issues,increase the training accuracy and reduce the training loss,we have proposed an enhanced method by merging Adaptive Boosting(AdaBoost)classifier with Coronavirus Herd Immunity Optimizer(CHIO)and Forensic based Investigation Optimizer(FBIO).In terms of low computational complexity,minimized over-fitting problems on a large quantity of data,reduced training time and training loss and increased training accuracy,our model outperforms the benchmark *** proposed algorithms Ada-CHIO andAda-FBIO,have the low MeanAverage Percentage Error(MAPE)value of error,i.e.,6.8%and 9.5%,***,due to the stability of our model our proposed algorithms Ada-CHIO and Ada-FBIO have achieved the accuracy of 93%and 90%.Statistical analysis shows that the hypothesis we proved using statistics is authentic for the proposed technique against benchmark algorithms,which also depicts the superiority of our proposed techniques.

关键词： Smart grids and meters electricity theft detection machine learning AdaBoost optimization techniques