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Convalescent plasma as a therapeutic agent for SARS-CoV, MERS-CoV and SARS-CoV-2: A scoping review

Journal of Acute Disease 2021年第2期10卷 47-56页

作者： Abeba Haile Mariamenatu emebet mohammed abdu Department of Biotechnology College of Natural and Computational SciencesDebre Berhan UniversityP.O.Box 445Debre BerhanEthiopia Department of Biology College of Natural and Computational SciencesDebre Berhan UniversityP.O.Box 445Debre BerhanEthiopia

Severe acute respiratory syndrome coronavirus(SARS-CoV),Middle East respiratory syndrome coronavirus(MERS-CoV),and SARS-CoV-2 are three kinds of coronaviruses that are exceptionally pathogenic to humans via zoonotic *** outbreaks of SARS-CoV and MERS-CoV,and SARS-CoV-2,to some extent,posed a severe threat to human health,daily activities as well as the economic status of many *** faced with these emerging viruses and no accessible vaccines and drugs,convalescent plasma(CP)is required as passive immunotherapy,since CP has the potential to neutralize and eliminate the virus from blood *** sources of CP are individuals who have recovered from the ***,CP is administered as emergency use and investigational *** studies have shown that CP is effective to treat infected individuals with viral pandemics such as influenza A,Ebola virus,SARS-CoV,and ***,following the deadly outbreak of SARS-CoV-2 in 2019,plenty of non-randomized clinical studies have been done on the effectiveness of CP for the treatment of Coronavirus Disease 2019(COVID-19),and most of these studies have indicated that CP therapy is promising and saved many critically-ill ***,CP is a helpful immune therapeutic agent for the immediate response of such pandemics because of its clinical efficacy,immediate availability,cost-effectiveness,ease of production,delivery,and *** review aims to summarize the effectiveness of CP in the treatment of these three coronaviruses,***-CoV,MERS-CoV,and SARS-CoV-2.

关键词： Convalescent plasma Coronaviruses SARS-CoV MERS-CoV SARS-CoV-2 COVID-19

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Mechanisms of action of leptin in preventing gastric ulcer

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World Journal of Gastroenterology 2005年第27期11卷 4154-4160页

作者： Edward O.Adeyemi Salim A.Bastaki Irwin S.Chandranath mohammed Y.Hasan mohammed Fahim abdu Adem Department of Internal Medicine Department of Pharmacology Department of Physiology

To investigate the effects of leptin （1-20μg/kg） on acidified ethanol （AE）- and indomethacin （Indo）-induced gastric lesions in rats and compare it with ranitidine, lansoprazole, and omeprazole and to determine its mechanisms of ***： Gastric ulcers, which were approximately 1 mm in width, formed in the glandular portion of the gastric mucosa produced by oral administration of either AE or Indo were taken as ulcer index. The inhibitory effect of subcutaneous administration of leptin, two proton pump inhibitors （PPIs） lansoprazole and omeprazole, or H2-receptor antagonist ranitidine 30 min before AE or Indo was evaluated.A radioimmunoassay was used to determine the PGE2 concentration in the homogenate of the glandular portion of the stomach. We performed histological study of the glandular stomach for the evaluation of total, acidic, and sulfated mucus ***： Subcutaneous administration of leptin, two PPI slansoprazole and omeprazole or H2-receptor antagonist ranitidine 30 min before AE or Indo produced a dosedependent and reproducible inhibition of gastric ulcers （GUs）. This inhibition was found to be more potent than other antagonists used. In N^G-nitro L-arginine methyl ester （L-NAME）-pretreated animals, the ulcer prevention ability of leptin in AE-induced ulcer was significantly reduced,compared to rats without L-NAME pretreatment. However,the ulcer prevention ability of leptin was not altered by L-NAME treatment in Indo-induced ulcers. Leptin produced a dose-dependent increase in PGE2 level in the gastric glandular tissues. Leptin also increased mucus ***： The results of the present study show that leptin inhibits GU formation by AE or Indo in a dosedependent and reproducible manner in rats. The results also suggest that leptin prevents ulcer formation by increasing the activities of the cyclo-oxygenase and/or nitric oxide pathways and by increasing mucus secretion.

关键词： Indomethacin Acidified ethanol Gastric ulcer Prostaglandin Ranitidine Omeprazole Lansoprazole l^-nitro L-arginine methyl ester Wistar rats

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Evaluating the Effectiveness of Graph Convolutional Network for Detection of Healthcare Polypharmacy Side Effects

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Intelligent Automation & Soft Computing 2024年第6期39卷 1007-1033页

作者： Omer Nabeel Dara Tareq Abed mohammed abdullahi abdu Ibrahim Collage of Engineering Department of Electrical and Computer EngineeringAltinbas UniversityIstanbul34000Turkey College of Computer Science and Information Technology Department of Information TechnologyUniversity of KirkukKirkuk36001Iraq

Healthcare polypharmacy is routinely used to treat numerous conditions;however,it often leads to unanticipated bad consequences owing to complicated medication *** paper provides a graph convolutional network(GCN)-based model for identifying adverse effects in polypharmacy by integrating pharmaceutical data from electronic health records(EHR).The GCN framework analyzes the complicated links between drugs to forecast the possibility of harmful drug *** assessments reveal that the proposed GCN model surpasses existing machine learning approaches,reaching an accuracy(ACC)of 91%,an area under the receiver operating characteristic curve(AUC)of 0.88,and an F1-score of ***,the overall accuracy of the model achieved 98.47%.These findings imply that the GCN model is helpful for monitoring individuals receiving *** research should concentrate on improving the model and extending datasets for therapeutic applications.

关键词： Polypharmacy side effects drug-drug interactions graph convolutional networks deep learning medication network

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Fuzzy-HLSTM(Hierarchical Long Short-Term Memory)for Agricultural Based Information Mining

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Computers, Materials & Continua 2023年第2期74卷 2397-2413页

作者： Ahmed abdu Alattab mohammed Eid Ibrahim Reyazur Rashid Irshad Anwar Ali Yahya Amin A.Al-Awady Department of Computer Science College of Science and ArtsSharurahNajran UniversityNajranSaudi Arabia Department of Computer Science College of Computer Science&Information SystemsNajran UniversityNajranSaudi Arabia Computer Skills Department Deanship of Preparatory YearNajran UniversityNajranSaudi Arabia

This research proposes a machine learning approach using fuzzy logic to build an information retrieval system for the next crop *** case-based reasoning systems,case representation is critical,and thus,researchers have thoroughly investigated textual,attribute-value pair,and ontological *** big databases result in slow case retrieval,this research suggests a fast case retrieval strategy based on an associated representation,so that,cases are interrelated in both either similar or dissimilar *** soon as a new case is recorded,it is compared to prior data to find a relative *** proposed method is worked on the number of cases and retrieval accuracy between the related case representation and conventional *** Long Short-Term Memory(HLSTM)is used to evaluate the efficiency,similarity of the models,and fuzzy rules are applied to predict the environmental condition and soil quality during a particular time of the *** on the results,the proposed approaches allows for rapid case retrieval with high accuracy.

关键词： Machine learning agriculture IoT HLSTM fuzzy rules

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A Compact Size 5G Hairpin Bandpass Filter with Multilayer Coupled Line

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Computers, Materials & Continua 2021年第12期69卷 4025-4042页

作者： Qazwan abdullah Ömer Aydogdu Adeeb Salh Nabil Farah Md Hairul Nizam Talib Taha Sadeq mohammed A.A.Al-Mekhalfi abdu Saif Faculty of Electrical and Electronic Engineering Selçuk UniversityKonyaTurkey Faculty of Engineering and Natural Sciences Konya Technical UniversityKonyaTurkey Faculty of Engineering Technology Universiti Tun Hussein Onn MalaysiaPagohMuarJohorMalaysia Faculty of Electrical Engineering Universiti Teknikal Malaysia MelakaMelakaMalaysia Faculty of Engineering and Science Universiti Tunku Abdul RahmanSungai Long CampusSelangor43000Malaysia Faculty of Electrical Engineering Department University of MalayaKuala LumpurMalaysia

The multilayer structure is a promising technique used to minimize the size of planar microstrip *** the flexible design and incorporation of other microwave components,multilayer band-pass filter results in better and enhanced *** paper introduces a microstrip fifth-generation(5G)low-frequency band of 2.52–2.65 GHz using a parallel-coupled line(PCL)Bandpass filter and multilayer(ML)hairpin Bandpass *** targeted four-pole resonator has a center frequency of 2.585 GHz with a bandwidth of 130 *** filters are designed with a 0.1 dB passband ripple with a Chebyshev *** hairpin-line offers compact filter design ***,they can be obtained by bending half-wavelength resonator resonators with parallel couplings into a“U”*** proposed configuration of the parllel-coupled line resonator is used to design the ML band-pass *** FR4 substrate with a dielectric constant(Er)of 4.3 and 1.6 mm thickness was used.A comparative analysis between the simulated insertion loss and the reflection cofficient of substrates RO3003 and FR4 was performed to validate the eficiency of the proposed filter *** of PCL filter is accom-plished using computer simulation technology(CST)and an advanced design system(ADS)*** PCL Bandpass filter was experimentally validated and a total tally between simulation results and measured results were achieved demonstrating a well-measured reflection *** simulated results obtained by the hairpin ML bandpass filter show that the circuit performs well in terms of Scattering(S)parameters and the filter size is significantly reduced.

关键词： Band-pass filter 5G hairpin multi-layer size reduction parallelcoupled line

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Participatory Evaluation of the Relative Livestock Populations and the Assessment of the Status and Impacts of Newcastle Disease in Rural Communities of Two Northeastern States, Nigeria

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Open Journal of Animal Sciences 2016年第1期6卷 49-58页

作者： Waziri Ibrahim Musa Sa’idu Lawal mohammed Bello Paul Ayuba abdu Department of Veterinary Medicine Ahmadu Bello University Zaria Nigeria Veterinary Teaching Hospital Ahmadu Bello University Zaria Nigeria Department of Veterinary Public Health and Preventive Medicine Ahmadu Bello University Zaria Nigeria

Livestock is an important component of food security in many developing nations. However, animal diseases continue to undermine animal production and public health efforts thus widening poverty gap. Unfortunately, the conventional and what seems to be inefficient “top to bottom” disease surveillance and control policies are heavily relied upon such that negative impacts of diseases are underestimated. Participatory disease surveillance (PDS) techniques using semi-structured questioning assisted by key informants targeting focus groups were employed in 60 randomly selected villages of two Nigerian States during the years 2012 to 2014. Haemagglutination and ELISA tests to detect antibodies to Newcastle disease (ND) were conducted on 950 poultry sera. The status and economic burden of Newcastle disease and the relative livestock populations and some ethno-veterinary practices of these livestock farming communities were brought to the fore. Poultry, goats, cattle, sheep and pigs in descending order were the major livestock species kept in the study areas to which Kendalls Coefficient of Concordance (W = 0.9) agreed strongly. Accordingly, ND, lousiness, fowl pox and coccidiosis with percentage scores of ND-52%, Fowl Pox-31%, lousiness-17% and Salmonellosis-10% were important causes of poultry morbidity and mortality. ND sero-prevalence was 39%, relative morbidity;mortality and case fatality rates of 95%, 78% and 82% respectively were appraised. Again ND, coccidiosis, ectoparasitism and fowl pox were reported as seasonal poultry diseases (W = 0.6). Solanum nodiflorum and Momordica balsalmina were used to treat ND. Major livestock kept, and the ND status and effects in poultry in these livestock farming communities are here reported. Institutionalization of PDS would better inform strategic livestock policy reforms, and improve national food security and diseases surveillance and reporting system in Nigeria.

关键词： Participatory Evaluation Newcastle Disease Rural Communities

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Radiological Effects of Soil and Rock Samples of Different Libyan Regions

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Engineering（科研） 2019年第5期11卷 247-259页

作者： abdu Assalam A. Algattawi mohammed Fayez-Hassan Emad Ibrahim Khalil Hilmy Abo Elez Faculty of Technical Electronic Tripoli Libya Experimental Nuclear Physics Department NRC EAEA Cairo Egypt Department of Physics Zagazig University Zagazig Egypt

The activity concentration of natural radioactivity for soil samples collected from western and mid Libyan regions were measured using HPGe detector. The average activity concentration of 226Ra, 232Th and 40K for ten regions was found to be 51.86 ± 7.14, 75.56 ± 10.95 and 128.98 ± 6.88 Bq/kg respectively. The results obtained for the corresponding nuclides 226Ra and 232Th are above the worldwide average values (35 and 30 Bq/kg) while 40K was smaller than worldwide average (400 Bq/kg). The average outdoor absorbed dose and the annual effective dose rates due to 226Ra, 232Th and 40K were observed to be 21.51 ± 2.93 nGy/h and 0.297 ±.03 mSv/y respectively, which are lower than world average values (60 nGy/h and 0.8 mSv/y). The radium equivalent activity and external hazard indices were found less than the world wide average values.

关键词： Activity Concentration Absorbed Dose Effective Dose Activity Values Soil Samples Western and Mid Libya

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基于深度学习的视频行为识别方法综述

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电信科学 2019年第12期35卷 99-111页

作者：赵朵朵章坚武郭春生周迪穆罕默德·阿卜杜·沙拉夫·哈基米杭州电子科技大学浙江杭州310018 浙江宇视科技有限公司浙江杭州310018

近年来,自动学习特征的深度学习方法在视频行为识别领域中不断被挖掘探索。在总结了常用的行为识别数据集的基础上,对传统的行为识别方法以及深度学习的相关基础原理进行了概述,着重对基于不同输入内容与不同深度网络的行为识别方法进... 详细信息

近年来,自动学习特征的深度学习方法在视频行为识别领域中不断被挖掘探索。在总结了常用的行为识别数据集的基础上,对传统的行为识别方法以及深度学习的相关基础原理进行了概述,着重对基于不同输入内容与不同深度网络的行为识别方法进行了较为全面、系统性的总结、对比与分析。最后,对深度学习在行为识别领域的发展做了总结并展望了未来的发展趋势。

关键词：行为识别数据集自动学习深度网络

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