141 research outputs found
A framework for enabling high-end high performance computing resources as a service
No full textIn an era of data explosion and analysis, researchers across the globe are trying to convert massive quantities of complex data into useful knowledge using Computational and Data-Enabled Science and Engineering (CDS&E) applications. CDS&E applications are gaining traction as an important dimension of Science, Technology, Engineering, and Mathematics research. These applications require powerful processors with fast interconnects, extreme large scale, and elastic resources. While high-end High Performance Computing (HPC) resources provide the necessary requirements, the complexity of such systems has grown exponentially. Furthermore, due to their high cost, limited availability, and high demand, the queue wait times to run applications on these systems is in the order of months. All of the above challenges prevent their adoption as a mainstream solution. On the other hand, Cloud computing is emerging as a dominant computing paradigm that offers many advantages. Consequently, early adopters have looked into using Clouds to solve the HPC model challenges. Initially, CDS&E applications were run on commodity Clouds, but this was found to be appropriate only for certain classes of applications. Other approaches explored complementing HPC resources with Clouds but failed to address all challenges in the HPC environment. Cloud providers also tried to provide HPC as a Cloud using small HPC clusters connected to form a larger Cloud but were hindered by small scale and limited performance. These approaches fall short of providing the high performance necessary for CDS&E applications. In this document, we propose a new approach to achieve the notion of HPC as a Service. This approach targets existing high-end HPC resources and investigates how a Cloud abstraction can be applied to provide a simple interface and support real-world applications. In particular, the application of Clouds to supercomputers is discussed, tested, and validated on an IBM Blue Gene/P supercomputer. The proposed framework transforms Blue Gene/P into an elastic cloud by bridging multiple systems to create HPC federated Clouds, supporting dynamic provisioning and efficient utilization, and maximizing ease-of-use through an as a Service abstraction. In order to effectively illustrate the benefits of such a concept, the proposed framework is demonstrated using a real-world ensemble application.M.S.Includes bibliographical referencesby Moustafa AbdelBak
the role of business ethics in Achieving competitive advantage of economic institutions An analytical study on a sample of employees in the High Plateau Tannery in Djelfa: دور أخلاقيات الأعمال في تحقيق الميزة التنافسية للمؤسسات الاقتصادية: دراسة تحليلية لآراء العاملين بمدبغة الهضاب العليا بالجلفة
No full textتناولت هذه الدراسة موضوع دور أخلاقيات الأعمال في تحقيق الميزة التنافسية للمؤسسات، وطبقت الدراسة على عينة مكونة من (35) موظفا، من أصل مجتمع الدراسةالمكون من (96) موظف. حيث استخدمت الدراسة الاستبيان كأداة رئيسية لجمع المعلومات والبيانات، وتم توزيع الاستبيان عشوائيا على مختلف العاملين بمدبغة الهضاب العليا بالجلفة، وذلك على اختلاف مستوياتهم التنظيمية (إدارة عليا، إدارة وسطى، إدارة دنيا، وظائف نمطية). وخلصت الدراسة إلى مجموعة من نتائج من أهمها ما يلي:
ارتفاع مستوى إدراك جميع أبعاد أخلاقيات الأعمال، (أخلاقيات المدير، أخلاقيات الموظف)، إذ سجلنا تحققهم بمستويات مرتفعة، ماعدا بعد (أخلاقيات المنظمة)، الذي سجلنا تحققه بمستوى متوسط.
ارتفاع مستوى إدراك الميزة التنافسية لدى العاملين بمدبغة الهضاب العليا بالجلفة.
تبين من خلال نتائج الانحدار الخطي المتعدد أن هناك علاقة تأثير موجبة ذات دلالة إحصائية عند مستوى معنوية (α≤ 0.05)، بين (أخلاقيات المدير، أخلاقيات الأعمال)، والميزة التنافسية لدى العاملين بمدبغة الهضاب العليا بالجلفة.
تبين من خلال نتائج الانحدار الخطي المتعدد أنه لا توجد علاقة تأثير موجبة ذات دلالة إحصائية عند مستوى معنوية (α≤ 0.05)، بين بعدي (أخلاقيات الموظف، أخلاقيات المنظمة)، والميزة التنافسية لدى العاملين بمدبغة الهضاب العليا بالجلفة.This study dealt with the issue of the role of business ethics in Achieving competitive advantage for organizations, The study was applied to a sample of (35) employees, out of a study population of (96) employees. The study used a questionnaire as a key tool for gathering information and data, The questionnaire was distributed randomly on various workers in the high plateaus tannery in Djelfa, and so on different organizational levels (Top management, Middle management, Lower management, Typical functions), The study concluded to a set of results including the following:
The high level of awareness of all the dimensions of business ethics (Ethics Director, Employee Ethics) as we noticed high levels, except dimension (Ethics Organization) in which we noticed medium level.
The high level of awareness of competitive advantage among workers in the high plateaus tannery in Djelfa.
The study showed through the multiple linear regression results that there is a statistically significant positive effect at α level (α≤ 0.01), between (Ethics Director, business ethics) and competitive advantage among workers in the high plateaus tannery in Djelfa.
The study showed through the multiple linear regression results that there is no statistically significant positive effect at α level (α≤ 0.01), between (Employee Ethics, Ethics Organization) and competitive advantage among workers in the high plateaus tannery in Djelfa
the role of business ethics in Achieving competitive advantage of economic institutions An analytical study on a sample of employees in the High Plateau Tannery in Djelfa
No full textThis study dealt with the issue of the role of business ethics in Achieving competitive advantage for organizations, The study was applied to a sample of (35) employees, out of a study population of (96) employees. The study used a questionnaire as a key tool for gathering information and data, The questionnaire was distributed randomly on various workers in the high plateaus tannery in Djelfa, and so on different organizational levels (Top management, Middle management, Lower management, Typical functions), The study concluded to a set of results including the following:
The high level of awareness of all the dimensions of business ethics (Ethics Director, Employee Ethics) as we noticed high levels, except dimension (Ethics Organization) in which we noticed medium level.
The high level of awareness of competitive advantage among workers in the high plateaus tannery in Djelfa.
The study showed through the multiple linear regression results that there is a statistically significant positive effect at α level (α≤ 0.01), between (Ethics Director, business ethics) and competitive advantage among workers in the high plateaus tannery in Djelfa.
The study showed through the multiple linear regression results that there is no statistically significant positive effect at α level (α≤ 0.01), between (Employee Ethics, Ethics Organization) and competitive advantage among workers in the high plateaus tannery in Djelfa
Boundary Value Problems for Fractional Differential Equation in Special Banach Space
No full textThis paper studies the existence of solutions of boundary value problem for fractional differential equations on the half-line in a special Banach space. The main result is based on Monch fixed point theorem combining with a suitable measure of non-compactness, an example is given to illustrate our approach
Effect of chain length on the photophysical properties of pyrene-based molecules substituted with extended chains
No full textThe important role played by organic conjugated compounds in the ?elds of electronics and optoelectronics has led to a vast ?eld of research concerned with synthesizing various complex structures where π-π stacking plays a vital role. Pyrene-based molecules are examples of compounds which allow ef?cient charge transfer through π-π molecular stacking. Photophysical studies of such compounds have shown similar behavior as that of pyrene, even though they bear two additional conjugated rings and four long alkyl chains. Chain length may have played an effective role in in?uencing the π-π molecular stacking of such molecules. In continuation of our earlier work(Moustafa, R. M.; Degheili, J. A.; Patra, D.; Kaafarani, B. R. J. Phys. Chem. A 2008, 113, 1235-1243), we hereby synthesize and investigate the role of the chain lengths on the photophysical aspects of 2,11-di-tert-butyl-6,7,15,16- tetrakis(alkoxy-alkythio)quinoxaline-[2′,3′:9,10]phenanthro[4, 5-ab-c]phenazine, TQPP-[t-Bu]2-[XR]4(X O, S; R C nH2n+1). Various photophysical parameters such as Stokes shift, ?uorescence lifetime, ?uorescence quantum yield, and radiative and nonradiative rate constants are evaluated for TQPP-[t-Bu]2-[OR] 4 and TQPP-[t-Bu]2-[SR]4 in tetrahydrofuran. The variation of the Stokes shift, ?uorescence quantum yield, and lifetime are also correlated with the number of carbons in the alkyl chain R for TQPP-[t-Bu]2-[OR]4 and TQPP-[t-Bu]2-[SR] 4. © 2009 American Chemical Society.Anthony JE, 2008, ANGEW CHEM INT EDIT, V47, P452, DOI 10.1002-anie.200604045; Boden N, 1999, J MATER CHEM, V9, P2081, DOI 10.1039-a903005k; Chen MC, 2008, J MATER CHEM, V18, P1029, DOI 10.1039-b715746k; Chen ZH, 2006, ORG LETT, V8, P273, DOI 10.1021-ol0526468; Katsuhara M, 2005, SYNTHETIC MET, V149, P219, DOI 10.1016-j.synthmet.2005.01.005; Kumar S, 2006, CHEM SOC REV, V35, P83, DOI 10.1039-b506619k; Lakowicz J. R., 1999, PRINCIPLES FLUORESCE; Mitzi DB, 2004, J MATER CHEM, V14, P2355, DOI 10.1039-b403482a; MOUSTAFA RM, J PHYS CHEM A UNPUB; Naraso, 2005, J AM CHEM SOC, V127, P10142, DOI 10.1021-ja051755e; Oukachmih M, 2005, SOL ENERG MAT SOL C, V85, P535, DOI 10.1016-j.solmat.2004.05.012; Palilis LC, 2003, ORG ELECTRON, V4, P113, DOI 10.1016-j.orgel.2003.08.006; Parker C.A., 1968, PHOTOLUMINESCENCE SO; Petritsch K, 1999, SYNTHETIC MET, V102, P1776, DOI 10.1016-S0379-6779(98)01035-2; Ponomarenko SA, 2003, ADV FUNCT MATER, V13, P591, DOI 10.1002-adfm.200304363; Subuddhi U, 2006, PHOTOCH PHOTOBIO SCI, V5, P459, DOI 10.1039-b600009f; Sun YG, 2007, ADV MATER, V19, P1897, DOI 10.1002-adma.200602223; van de Craats AM, 1999, ADV MATER, V11, P1469, DOI 10.1002-(SICI)1521-4095(199912)11:171469::AID-ADMA14693.0.CO;2-K; WARIS R, 1988, APPL SPECTROSC, V42, P1525, DOI 10.1366-000370288442980513131
The Current State of Artificial Intelligence on Detecting Pulmonary Embolism via Computerised Tomography Pulmonary Angiogram: A Systematic Review.
No full textCopyright: © 2025 The Author(s).
https://creativecommons.org/licenses/by-nc/4.0/Pulmonary embolism (PE) is a life-threatening condition with significant diagnostic challenges due to high rates of missed or delayed detection. Computed tomography pulmonary angiography (CTPA) is the current standard for diagnosing PE, however, demand for imaging places strain on healthcare systems and increases error rates. This systematic review aims to assess the diagnostic accuracy and clinical applicability of artificial intelligence (AI)-based models for PE detection on CTPA, exploring their potential to enhance diagnostic reliability and efficiency across clinical settings. A systematic review was conducted in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Excerpta Medica Database (EMBASE), Medical Literature Analysis and Retrieval System Online (MEDLINE), Cochrane, PubMed, and Google Scholar were searched for original articles from inception to September 2024. Articles were included if they reported successful AI integration, whether partial or full, alongside CTPA scans for PE detection in patients. The literature search identified 919 articles, with 745 remaining after duplicate removal. Following rigorous screening and appraisal aligned with inclusion and exclusion criteria, 12 studies were included in the final analysis. A total of three primary AI modalities emerged: convolutional neural networks (CNNs), segmentation models, and natural language processing (NLP), collectively used in the analysis of 341,112 radiographic images. CNNs were the most frequently applied modality in this review. Models such as AdaBoost and EmbNet have demonstrated high sensitivity, with EmbNet achieving 88-90.9% per scan and reducing false positives to 0.45 per scan. AI shows significant promise as a diagnostic tool for identifying PE on CTPA scans, particularly when combined with other forms of clinical data. However, challenges remain, including ensuring generalisability, addressing potential bias, and conducting rigorous external validation. Variability in study methodologies and the lack of standardised reporting of key metrics complicate comparisons. Future research must focus on refining models, improving peripheral emboli detection, and validating performance across diverse settings to realise AI's potential fully
Fame bias in editorial choice: Yes or No?
No full textRecently, Scientometrics has published a paper titled “Is there bias in editorial choice? Yes” (Moustafa 2015) in which some comments are given on our published paper in Nature titled “Is there fame bias in editorial choice?” (Mahian et al. 2015). Unfortunately, the author of above mentioned paper and many other readers might misunderstand the main aim of our correspondence. Here, we try to give some explanations to clarify the main goal of analysis presented in the paper
Programming and managing distributed software-defined environments
No full textThe amount of data generated by applications and digital sources is rising to unprecedented scales. To keep pace, applications and workflows tasked with transforming the data to insight are becoming increasingly dynamic and inherently data-driven. Furthermore, the computational services, i.e., compute, data, and communication, required to run this emerging class of applications are often just as dynamic and heterogeneous. As data sizes continue to grow, one must find new ways of harnessing these services to meet the needs of emerging data-driven workloads. Building a computational environment capable of supporting these applications presents many complex challenges. For example, there are requirements and dynamic behaviors set forth by multiple components of the environment, i.e., users, service providers, applications, and computational services. Accordingly, an environment must be capable of (1) providing a way for these components to express their requirements at any time in the application lifecycle and (2) reacting in real-time to changes set forth by any of these components by adjusting the service composition. While cloud computing provides the flexibility and diversity of services required by such an environment, determining which services to compose to meet application needs and when to compose them is not supported by current service models and infrastructure. To address these challenges, this dissertation presents a programming system to enable the creation of a distributed Software-Defined Environment (dSDE); the resulting environment can seamlessly and symbiotically combine compute, data sources, data storage, and network resources. Specifically, this work makes the following contributions: (1) it enables the on-demand aggregation of distributed services while facilitating the continuous deployment of applications on top of them; (2) it provides programming abstractions that allow users, resource providers, and applications to dynamically compose different services based on constraints or requirements; (3) it introduces a runtime framework that can autonomously adapt to changes from any of the components in the environment; and (4) it sets forth a quantification model for application performance and expected quality of service of the resulting distributed Software-Defined Environment, which allows users to reason about trade-offs and requirements with respect to throughput, latency, cost, deadline, etc. The applicability of this work to real-world scientific applications is validated through a series of experiments where heterogeneous, geographically distributed services are composed based on user, resource provider, and application specifications. The results establish the potential impact of a system capable of real-time adaptability to changes in mixed resource environments, including multiple clouds, grids, clusters, supercomputers, and traditional data centers.Ph.D.Includes bibliographical referencesby Moustafa H. AbdelBak
The progress and outcomes of black and minority ethnic (BME) nurses through the Nursing and Midwifery Council's "Fitness to Practise" process: Final report
No full textBACKGROUND
This is the first investigation of the relationship between ethnicity and regulation of the nursing profession conducted internationally. The study was commissioned by the Nursing and Midwifery Council which is the regulator of the professions in the UK.
AIMS OF THE STUDY
“To establish whether the progress and outcomes of Black and minority ethnic (BME) nurses in relation to fitness to practice, from the point of referral to the point of case closure, is different from that of White nurses and midwives (N&M); and whether we can from the data account for any differences identified” (Call for research, NMC 2015). The study was designed to investigate whether BME N&M nurses are more likely to be referred and whether they were more likely to progress through the stages of the Fitness to Practise (FtP) process (screening, investigation or adjudication) and whether they were more likely to receive a severe penalty at the end of the process.
DATA
The NMC made available a copy of the register which had socio-demographic information on 681,258 nurses and midwives between April 2012 and December 2014 as well as data on referrals from April 2012 to December 2014 which totalled 5,851. Over that period the total number of cases that went to adjudication was 946.
VARIABLES
The main independent variable is ethnicity which we divided into Black, Asian, White, Other and Unknown. The latter category accounted for 40% of all referrals. The outcomes studied were rates of referral, the imposition of interim orders (where the referred individual is not allowed to work, progression through screening, investigation, adjudication and final outcome, which was dichotomised into “can work” or “cannot work”. The regression models also controlled for: age, gender, source of referral (9 categories), region of qualification (Africa, Asia, Europe, Other, UK), country of referral (4 counties of the UK) and whether or not the individual referred had a representative, such as a Union.
METHODS OF ANALYSIS
Descriptive statistics, cross-tabulation analysis, logistic regression and ordinal logistic regression
FINDINGS
Descriptive statistics showed that BME nurses are more likely to be referred than white nurses and to progress through the FtP process. Having trained in Africa is also a risk factor for referral. Older N&M and males are more likely to be referred. Most referrals come from employers but members of the public are also an important source of referral. Inferential statistics show that relative to Whites, being Asian, Black or of Unknown ethnicity is associated with progressing through FtP process. However, when “source of referral” is entered into the regression model only the “Unknown ethnicity” category remains significantly more likely to progress than White N&M. Males are more likely to progress through the FtP process but age, though positive, is not significant. There were few significant differences among the countries of the UK. The imposition of interim orders did not vary by ethnicity. The presence of a representative seems to reflect the stage of the FtP process rather than being a factor that contributes to the outcome. Finally, at adjudication, being Asian or Black is associated with a less severe penalty than White. Only those of Unknown ethnicity are more likely than Whites to get a severe penalty. These results are not altered by controlling for the source of referral.
STRENGTHS AND WEAKNESSES OF THE STUDY
The strengths include: the fact that this is the first study of its kind, the datasets analysed are large and the statistics are appropriate. Weakness include the fact that in 40% cases the ethnicity of the referred individual is not known. Some of the registered N&M may not be working which means that their risk of being referred to the NMC is low which could be a threat to the comparison of different ethnic groups. The administrative data which we analysed did not provide information about the specialty (e.g. mental health, maternity), job setting (care home, acute hospital) or level of seniority (staff nurse or Director of Nursing of the individuals referred were not amenable to analysis.
RECOMMENDATIONS
The analysis reported here could be enhanced in the future if the information on ethnicity, the setting in which the referred individual is working and their grade is made available. Some jobs may simply carry a higher risk of referral to the NMC and BME nurses may disproportionately occupy those positions. The main finding, which is that the relationship between ethnicity and FtP is mediated by referral by the employer, directs our attention to the need for further research to understand how the working environment leads to an over-representation of BME nurses in the FtP process. Within the NMC, further research needs to be conducted to understand why White nurses are more likely to be given a severe penalty at adjudication even though they are underrepresented in referrals and less likely to progress through the process. With the introduction of the NMC code and revalidation, the collection of data by the NMC and the FtP process will undoubtedly change. At the same time, the NHS has introduced policies to directly affect the working environment of BME nurses and midwives. This means that this study should be repeated to take account of these changes in the wider environment
Numerical Study for Progressive Failure of High Rise Stepped Steel Building
No full textAbstract: Progressive collapse of a structure happens when one or more primary members are suddenly lost due to an unfortunate accident such as a gas explosion, bomb attack, fire, or overloaded. Building irregularity is one aspect that might aggravate the damage caused by gradual failure. The progressive failure of high rise stepped frames was investigated using 3-dimensional modelling and the finite element approach in this paper. The steel structure has 30 stories and rigid moment-resisting steel frames. Abaqus software is used to perform nonlinear dynamic analysis in accordance with GSA criteria. The results of Abaqus model are verified with an experimental data and good agreement is achieved. The structural behaviour of the building under sudden column loss was studied in detail using this model for several scenarios of column removal.
Keywords: Progressive failure; Nonlinear dynamic analysis; High rise steel building; Finite element; Column removal.
Title: Numerical Study for Progressive Failure of High Rise Stepped Steel Building
Author: Mohamed Basel Emara, Sameh Moustafa Gaawan, Mahmoud Shahat Mahmoud, Mohamed Mohamed Yahia
International Journal of Civil and Structural Engineering Research
ISSN 2348-7607 (Online)
Vol. 10, Issue 1, April 2022 - September 2022
Page No: 110-118
Research Publish Journals
Website: www.researchpublish.com
Published date: 20-June-2022
DOI: https://doi.org/10.5281/zenodo.6670584
Paper Download Link (Source)
https://www.researchpublish.com/papers/numerical-study-for-progressive-failure-of-high-rise-stepped-steel-buildingInternational Journal of Civil and Structural Engineering Research, ISSN 2348-7607 (Online), Research Publish Journals (Publisher), Website: www.researchpublish.co
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