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Green synthesis,antimicrobial and cytotoxic effects of silver nanoparticles using Eucalyptus chapmaniana leaves extract

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Asian Pacific Journal of Tropical Biomedicine 2013年第1期3卷 58-63页

作者： Ghassan Mohammad Sulaiman Wasnaa Hatif Mohammed Thorria Radam Marzoog ahmed Abdul Amir Al-Amiery Abdul Amir H.Kadhum abu Bakar Mohamad Biotechnology Division Applied Science DepartmentUniversity of Technology Applied Chemistry Division Applied Science DepartmentUniversity of Technology Chemical and Process Engineering Department Universiti Kebangsaan Malaysia

Objective:To synthesize silver nanopaticles from leaves extract of Eucalyptus chapmaniana(***)and test the antimicrobial of the nanoparticles against different pathogenic bacteria,yeast and its toxicity against human acute promyelocytic leukemia(HL-60)cell ***:Ten milliliter of leaves extract was mixed with 90 mL of 0.01 mmol/mL or 0.02 mmol/mL aqueous AgNO_3 and exposed to sun light for 1 h.A change from yellowish to reddish brown color was *** using UV-vis spectrophotometery and X-ray diffraction analysis were *** activity against six microorganisms was tested using well diffusion method and cytoxicity test using 3-(4,5-Dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide,a yellow tetrazole was obtained on the human leukemia cell line(HL-60).Results:UV-vis spectral analysis showed silver surface plasmon resonance band at 413 nm.X-ray diffraction showed that the particles were crystalline in nature with face centered cubic structure of the bulk silver with broad beaks at 38.50°and 44.76°.The synthesized silver nanoparticles efficiently inhibited various pathogenic organisms and reduced viability of the HL-60 cells in a dose-dependent ***:It has been demonstrated that the extract of *** leaves are capable of producing silver nanoparticles extracellularly and the Ag nanoparticles are quite stable in *** studies are needed to fully characterize the toxicity and the mechanisms involved with the antimicrobial and anticancer activity of these particles.

关键词： Eucalyptus chapmaniana Silver nanoparticles Antimicrobial activity Cytotoxic effect

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Improved Attentive Recurrent Network for Applied Linguistics-Based Offensive Speech Detection

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Computer Systems Science & Engineering 2023年第11期47卷 1691-1707页

作者： Manar ahmed Hamza Hala J.Alshahrani Khaled Tarmissi Ayman Yafoz Amira Sayed A.Aziz Mohammad Mahzari abu Sarwar Zamani Ishfaq Yaseen Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia Department of Applied Linguistics College of LanguagesPrincess Nourah Bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Computer Sciences College of Computing and Information SystemUmm Al-Qura UniversityMakkahSaudi Arabia Department of Information Systems Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddahSaudi Arabia Department of Digital Media Faculty of Computers and Information TechnologyFuture University in EgyptNew Cairo11835Egypt Department of English College of Science&HumanitiesPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia

Applied linguistics is one of the fields in the linguistics domain and deals with the practical applications of the language studies such as speech processing,language teaching,translation and speech *** ever-growing Online Social Networks(OSNs)experience a vital issue to confront,i.e.,hate *** the OSN-oriented security problems,the usage of offensive language is the most important threat that is prevalently found across the *** on the group targeted,the offensive language varies in terms of adult content,hate speech,racism,cyberbullying,abuse,trolling and *** these,hate speech is the most intimidating form of using offensive language in which the targeted groups or individuals are intimidated with the intent of creating harm,social chaos or *** Learning(ML)techniques have recently been applied to recognize hate speech-related *** current research article introduces a Grasshopper Optimization with an Attentive Recurrent Network for Offensive Speech Detection(GOARN-OSD)model for social *** GOARNOSD technique integrates the concepts of DL and metaheuristic algorithms for detecting hate *** the presented GOARN-OSD technique,the primary stage involves the data pre-processing and word embedding ***,this study utilizes the Attentive Recurrent Network(ARN)model for hate speech recognition and *** last,the Grasshopper Optimization Algorithm(GOA)is exploited as a hyperparameter optimizer to boost the performance of the hate speech recognition *** depict the promising performance of the proposed GOARN-OSD method,a widespread experimental analysis was *** comparison study outcomes demonstrate the superior performance of the proposed GOARN-OSD model over other state-of-the-art approaches.

关键词： Applied linguistics hate speech offensive language natural language processing deep learning grasshopper optimization algorithm

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A Novel Hybrid Architecture for Superior IoT Threat Detection through Real IoT Environments

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Computers, Materials & Continua 2024年第11期81卷 2299-2316页

作者： Bassam Mohammad Elzaghmouri Yosef Hasan Fayez Jbara Said Elaiwat Nisreen Innab ahmed Abdelgader Fadol Osman Mohammed Awad Mohammed Ataelfadiel Farah H.Zawaideh Mouiad Fadeil Alawneh Asef Al-Khateeb Marwan abu-Zanona Department of Computer Science Faculty of Computer Science and Information TechnologyJerash UniversityJerash26150Jordan Computer Engineering Department College of Engineering&Information Technology Buraydah CollegesBuraydah51418Saudi Arabia Faculty of Architecture and Design Al-Zaytoonah University of JordanAmman11733Jordan Department of Computer Science and Information Systems College of Applied SciencesAlMaarefa UniversityDiriyahRiyadh13713Saudi Arabia Applied College King Faisal UniversityAl-Ahsa31982Saudi Arabia Department of Business Intelligence and Data Analysis Faculty of Financial Sciences and BusinessIrbid National UniversityIrbid21110Jordan Faculty of Information Technology Ajloun National UniversityAjlun26810Jordan Department of Management Information Systems College of Business AdministrationKing Faisal UniversityAl-Ahsa31982Saudi Arabia

As the Internet of Things(IoT)continues to expand,incorporating a vast array of devices into a digital ecosystem also increases the risk of cyber threats,necessitating robust defense *** paper presents an innovative hybrid deep learning architecture that excels at detecting IoT threats in real-world *** proposed model combines Convolutional Neural Networks(CNN),Bidirectional Long Short-Term Memory(BLSTM),Gated Recurrent Units(GRU),and Attention mechanisms into a cohesive *** integrated structure aims to enhance the detection and classification of complex cyber threats while accommodating the operational constraints of diverse IoT *** evaluated our model using the RT-IoT2022 dataset,which includes various devices,standard operations,and simulated *** research’s significance lies in the comprehensive evaluation metrics,including Cohen Kappa and Matthews Correlation Coefficient(MCC),which underscore the model’s reliability and predictive *** model surpassed traditional machine learning algorithms and the state-of-the-art,achieving over 99.6%precision,recall,F1-score,False Positive Rate(FPR),Detection Time,and accuracy,effectively identifying specific threats such as Message Queuing Telemetry Transport(MQTT)Publish,Denial of Service Synchronize network packet crafting tool(DOS SYN Hping),and Network Mapper Operating System Detection(NMAP OS DETECTION).The experimental analysis reveals a significant improvement over existing detection systems,significantly enhancing IoT security *** our experimental analysis,we have demonstrated a remarkable enhancement in comparison to existing detection systems,which significantly strength-ens the security standards of *** model effectively addresses the need for advanced,dependable,and adaptable security solutions,serving as a symbol of the power of deep learning in strengthening IoT ecosystems amidst the constantly evolving cyber threat *** achievemen

关键词： A hybrid deep learning model IoT threat detection real IoT environments cybersecurity attention mechanism

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水生生物学报 2011年第5期35卷 727-738页

作者： abu Shufian Ishtiaq ahmed 于力群朱作言孙永华中国科学院水生生物研究所淡水生态与生物技术国家重点实验室武汉430072

GHR信号通路在动物出生后的生长中扮演着重要角色。实验利用斑马鱼模型研究了GHR信号相关基因在成体组织、胚胎发育以及幼体期的表达情况,这些基因包括gh、ghra、ghrb、jak2a、jak2b、stat5.1、stat5.2、igf1、c-fos、socs1和socs2。值... 详细信息

GHR信号通路在动物出生后的生长中扮演着重要角色。实验利用斑马鱼模型研究了GHR信号相关基因在成体组织、胚胎发育以及幼体期的表达情况,这些基因包括gh、ghra、ghrb、jak2a、jak2b、stat5.1、stat5.2、igf1、c-fos、socs1和socs2。值得关注的是,上述的大部分基因都存在母源性表达,且它们的合子表达均起始在体节早期之前。这说明在有功能性的脑垂体形成之前和完善的循环系统建立之前,GH及GH信号相关因子就已经存在于早期胚胎中,因此GH很可能是控制胚胎发育的一系列自分泌/旁分泌生长因子中的一员。同时,我们发现成体组织的socs表达水平与GH信号靶基因igf1和c-fos的表达呈某种程度的负相关。我们利用实时定量PCR技术和荧光素酶分析技术,通过注射GH和GHR表达载体,在斑马鱼胚胎中分析了它们促进GH信号靶基因c-fos和igf1转录活性以及GH应激启动子spi2.1活性的能力。由此,研究利用斑马鱼胚胎建立一个体内研究模型来评估发育过程中的GH信号激活(GHSA)。在受精后1天(dpf)和3dpf斑马鱼胚胎中,单独过表达gh或ghr均可以显著刺激GHSA,这表明在1dpf的斑马鱼胚胎中即存在功能性的GH和GHR蛋白表达,而这一时期是在功能性垂体的形成之前的。gh以及ghr的协同过表达则可以显著放大gh或ghr单独过表达的GHSA效果。

关键词：生长激素生长激素受体 GHR信号通路斑马鱼转录分析

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Nutritional Evaluation and Palatability of Major Range Forbs from South Darfur, Sudan

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Open Journal of Animal Sciences 2016年第1期6卷 42-48页

作者： Hafiz Abdalla Mohamed Ali abu Bakr Omer Ismail Mohammed Fatur Faisal Awad ahmed El Hadi Omer ahmed Magda Elmahdi Elbushra ahmed Deputy Dean Graduate College University of Bahri Khartoum Sudan Ministry of Science and Technology Khartoum Sudan Ministry of Science and Technology Range and Animal Research Station Khartoum Sudan Department of Animal Production Faculty of Agriculture Sinnar University Sinnar Sudan

The nutritive value of rangelands in Southern Darfur, Sudan could be improved by introduction and multiplication of nutritious forbs with the objective of increasing livestock production in the area. The present study was conducted to evaluate the nutritive value and palatability of eleven range forbs collected at flowering stage from Gahzal Gawazat, Southern Darfur, Sudan using chemical analysis. The crude protein (CP) ranged from 6.8% in Oxygonum atriplicifolium with lowest digestible crude protein (DCP) 2.8% to 16.4% in Zornia diphylla with highest DCP 11.73%. The highest and the lowest crude fiber (CF) values were obtained in Commelina spp (56.4%) and Sesamum alatum (25.9%), respectively. NDF and DMI values were maximum and minimum for Zornia diphylla (44.9 and 2.67%) and Alysicarpus glumaceus (35.3 and 3.4%), respectively. The total digestible nutrients (TDN) ranged from 57.1% in Blepharis linariifolia to 69.3% in Tribulus terrestris with highest digestible energy (DE) in later while the lowest DE was obtained in Commelina spp (2.4%). The calculated in vitro organic matter digestibility (IVOMD) was highest for the Canavalia ensiformis (50.27%) and lowest value (43.17%) for Commelina spp. Zornia diphylla, Tribulus terrestris and Sesamum alatum showed highest nutritive value, while Alysicarpus glumaceus, Oldenlandia senegalensis and Chrozophora brocchiana showed highest palatability. It is concluded that these rangeland forbs are palatable and their CP and energy contents are sufficient to support different classes of livestock in South Darfur, Sudan.

关键词： Forbs Nutritive Value Palatability Relative Feed Value Energy Value

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Distribution and disparities of healthy lifestyles and noncommunicable diseases risk factors between men and women aged 20-59 years in Bangladesh:Evidence from a nationwide survey

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Chronic Diseases and Translational Medicine 2024年第4期10卷 312-326页

作者： Md.Mokbul Hossain Abhijeet Roy abu Abdullah Mohammad Hanif Fahmida Akter Mehedi Hasan Md.Showkat Ali Khan abu ahmed Shamim Moyazzam Hossaine Mohammad Aman Ullah S.M.Mustafizur Rahman Mofijul Islam Bulbul Dipak Kumar Mitra Malay Kanti Mridha Center for Non-communicable Diseases and Nutrition BRAC James P Grant School of Public HealthBRAC UniversityDhakaBangladesh National Nutrition Services(NNS) Directorate General of Health ServicesGovernment of BangladeshDhakaBangladesh Department of Public Health North-South UniversityDhakaBangladesh

Background:Noncommunicable diseases(NCDs)are public health threats globally and recognized impediments to socioeconomic *** study aimed to identify the prevalence and clustering of NCDs risk factors among Bangladeshi men and women aged 20-59 years using nationally representative ***:This study was conducted in 82 rural,nonslum urban,and slum clusters across all eight administrative divisions of Bangladesh using multistage cluster sampling.A total of 4917 men and 4905 women aged 20-59 years were included in the *** analyses were performed to report the prevalence and distribution of behavioral and clinical risk *** binary logistic regression was performed to identify factors associated with the coexistence of three or more NCD risk ***:The prevalence of tobacco use(any form),insufficient physical activity,inadequate fruit and vegetable consumption,overweight and obesity,and central obesity were 38.3%,13.6%,87.1%,42.3%,and 36.0%,***,21.9%and 4.9%participants had hypertension and self-reported diabetes,*** the clustering of risk factors,37.1%men and 50.8%women had at least three NCD risk *** 3.0%men and 1.8%women reported no NCD risk ***,place of residence,education,and wealth status were associated with the presence of at least three risk factors for both ***:Since a large proportion of Bangladeshi 20-59 years old population had multiple risk factors,population-based programs with multisectoral approaches are essential to reduce NCDs among Bangladeshi women and men.

关键词： Bangladesh men noncommunicable diseases risk factors women

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Antibiogram of Extended-Spectrum <i>β</i>-Lactamase (ESBL) Producing <i>Escherichia coli</i>

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Open Journal of Medical Microbiology 2019年第2期9卷 41-47页

作者： Jogendra Nath Sarker Sarker Mohammed Ali ahmed Hafiza Sultana Shaheda Anwar Shirin Tarafder ahmed abu Saleh Associate Professor Department of Microbiology M Abdur Rahim Medical College Dinajpur Bangladesh Medical Officer Department of Microbiology & Immunology Bangabandhu Sheikh Mujib Medical University Dhaka Bangladesh Assistant Professor Department of Microbiology Rangpur Medical College Rangpur Bangladesh Associate Professor Department of Microbiology & Immunology Bangabandhu Sheikh Mujib Medical University Dhaka Bangladesh Professor Department of Microbiology & Immunology Bangabandhu Sheikh Mujib Medical University Dhaka Bangladesh

Background: Extended-spectrum β-lactamases (ESBLs) are enzymes capable of hydrolyzing extended-spectrum cephalosporins, penicillins and monobactams but inactive against cephamycins and carbapenems. The ESBL-producing organisms are a breed of multidrug-resistant pathogens. Objectives: This study was aimed to determine the susceptibility pattern of ESBL-producing Escherichia coli to ciprofloxacin, amikacin and imipenem. Methods: A total of 75 ESBL-producing E. coli, were obtained from the tertiary care hospitals of Bangladesh and were studied for susceptibility pattern from October, 2010 to December, 2011. These isolates were identified by double disc synergy test (DDST) and were confirmed phenotypically as ESBL-producer by phenotypic confirmatory disc diffusion test (PCDDT). Minimum inhibitory concentrations (MICs) of ciprofloxacin, amikacin and imipenem among ESBL-producing E. coli were determined using agar dilution method. Results: Out of 75 DDST positive ESBL-producing E. coli, 71 (94.67%) were also positive by PCDDT. All ESBL-producing E. coli, were susceptible to imipenem. About 92.95% ESBL-producing E. coli were susceptible to amikacin but only 14.08% were susceptible to ciprofloxacin. Conclusion: In this study, ESBL-producing E. coli, showed high resistance to ciprofloxacin. Imipenem and amikacin were most effective against ESBL positive strains.

关键词： Extended-Spectrum β-Lactamase Escherichia coli Phenotypic Confirmatory Disc Diffusion Test Minimum Inhibitory Concentrations

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Processing of Landsat 8 Imagery and Ground Gamma-Ray Spectrometry for Geologic Mapping and Dose-Rate Assessment, Wadi Diit along the Red Sea Coast, Egypt

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Open Journal of Geology 2016年第8期6卷 911-930页

作者： ahmed E. Abdel Gawad Atef M. abu Donia Mahmoud Elsaid Nuclear Materials Authority Cairo Egypt

Maximum Likelihood (MLH) supervised classification of atmospherically corrected Landsat 8 imagery was applied successfully for delineating main geologic units with a good accuracy (about 90%) according to reliable ground truth areas, which reflected the ability of remote sensing data in mapping poorly-accessed and remote regions such as playa (Sabkha) environs, subdued topography and sand dunes. Ground gamma-ray spectrometric survey was to delineate radioactive anomalies within Quaternary sediments at Wadi Diit. The mean absorbed dose rate (D), annual effective dose equivalent (AEDE) and external hazard index (Hex) were found to be within the average worldwide ranges. Therefore, Wadi Diit environment is said to be radiological hazard safe except at the black-sand lens whose absorbed dose rate of 100.77 nGy/h exceeds the world average. So, the inhabitants will receive a relatively high radioactive dose generated mainly by monazite and zircon minerals from black-sand lens.

关键词： Landsat 8 Imagery Image Processing Maximum Likelihood Classification Environmental Monitoring Absorbed Dose Rate Hazard Index

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Critical Success Factors to Improve the Game Development Process from a Developer＇s Perspective

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Journal of Computer Science & Technology 2016年第5期31卷 925-950页

作者： Saiqa Aleem Luiz Fernando Capretz Faheem ahmed College of Technological Innovation Zayed University Abu Dhabi 144534 United Arab Emirates Department of Electrical and Computer Engineering Western University Ontario N6A 5B9 Canada Department of Computing Science Thompson Rivers University Kamloops BC V2C OC8 Canada

The growth of the software game development industry is enormous and is gaining importance day by day. This growth imposes severe pressure and a number of issues and challenges on the game development community. Game development is a complex process, and one important game development choice is to consider the developer＇s perspective to produce good-quality software games by improving the game development process. The objective of this study is to provide a better understanding of the developer＇s dimension as a factor in software game success. It focuses mainly on an empirical investigation of the effect of key developer＇s factors on the software game development process and eventually on the quality of the resulting game. A quantitative survey was developed and conducted to identify key developer＇s factors for an enhanced game development process. For this study, the developed survey was used to test the research model and hypotheses. The results provide evidence that game development organizations must deal with multiple key factors to remain competitive and to handle high pressure in the software game industry. The main contribution of this paper is to investigate empirically the influence of key developer＇s factors on the game development process.

关键词： developer's perspective software game empirical investigation good-quality game game development process,game developer's factor

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Maximizing the Benefit of Rate Transient Analysis for Gas Condensate Reservoirs

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Energy Engineering 2021年第5期118卷 1411-1423页

作者： Mahmoud Abdo Tantawy ahmed A.M.Elgibaly ahmed Mohamed Farag Faculty of Petroleum and Mining Engineering Suez UniversitySuezEgypt abu Qir Petroleum Company AlexandriaEgypt

In recent years,many trials have been made to use the Rate Transient Analysis(RTA)techniques as a method to describe the gas condensate *** problem with using these techniques is the multi-phase behavior of the gas condensate ***,the Pressure Transient Analysis(PTA)is commonly used in this case to analyze the reservoir *** this paper,we are going to compare the results of both PTA and RTA of three wells in gas condensate *** comparison showed a great match between the results of the two mentioned techniques for the first time using a reference GOR of 75,000 SCF/***,we concluded that we could depend on RTA instead of PTA to spare the cost associated with the PTA in the gas condensate reservoirs.

关键词： Rate transient analysis production data analysis well testing permeability skin factor gas condensate

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