145 research outputs found
T Cell responses to whole SARS Coronavirus in humans
No full textEffective vaccines should confer long-term protection against future outbreaks of severe acute respiratory syndrome (SARS) caused by a novel zoonotic coronavirus (SARS-CoV) with unknown animal reservoirs. We conducted a cohort study examining multiple parameters of immune responses to SARS-CoV infection, aiming to identify the immune correlates of protection. We used a matrix of overlapping peptides spanning whole SARS-CoV proteome to determine T cell responses from 128 SARS convalescent samples by ex vivo IFN-γ ELISPOT assays. Approximately 50% of convalescent SARS patients were positive for T cell responses, and 90% possessed strongly neutralizing Abs. Fifty-five novel T cell epitopes were identified, with spike protein dominating total T cell responses. CD8+ T cell responses were more frequent and of a greater magnitude than CD4+ T cell responses (p < 0.001).
Polychromatic cytometry analysis indicated that the virus-specific T cells from the severe group tended to be a central memory phenotype (CD27+/CD45RO+) with a significantly higher frequency of polyfunctional CD4+ T cells producing IFN-γ, TNF-α, and IL-2, and CD8+ T cells producing IFN-γ, TNF-α, and CD107a (degranulation), as compared with the mild-moderate group. Strong T cell responses correlated significantly (p < 0.05) with higher neutralizing Ab. The serum cytokine profile during acute infection indicated a significant elevation of innate immune responses. Increased Th2 cytokines were observed in patients with fatal infection. Our study provides a roadmap for the immunogenicity of SARS-CoV and types of immune responses that may be responsible for the virus clearance, and should serve as a benchmark for SARS-CoV vaccine design and evaluation
Protect Against Phishing Scams
No full textAbstract: Phishing is an act of luring unsuspecting recipient of a message into revealing information which can be used against the recipient. Email is the most common medium of creating a Phishing attack against individuals and organizations. Phishing is a type of social engineering attempt, usually via emails, designed to trick the recipient. These attacks often result in malicious software getting deployed, steal user data including credentials or financial data, and victimize the entire infrastructure for ransom etc. First step in preventing this attack is to identify what a Phishing attempt is, to report it, and take similar actions for others. The golden rule of prevention is when you are in doubt, do not open that email, download its attachments or click on any hyperlinks inside.
Keywords: Phishing, Spam, Email, Malware, Social Engineering.
Title: Protect Against Phishing Scams
Author: Junaid Jan, Mohammed Mujtaba, Qasim T. Zaidi, Zaki S. Ahmed
International Journal of Computer Science and Information Technology Research
ISSN 2348-1196 (print), ISSN 2348-120X (online)
Vol. 10, Issue 2, April 2022 - June 2022
Page No: 82-86
Research Publish Journals
Website: www.researchpublish.com
Published Date: 07-June-2022
DOI: https://doi.org/10.5281/zenodo.6616588
Paper Download Link (Source)
https://www.researchpublish.com/papers/protect-against-phishing-scamsInternational Journal of Computer Science and Information Technology Research, (IJCSITR), ISSN 2348-1196 (print), ISSN 2348-120X (online), Research Publish Journals (Publisher), Website: www.researchpublish.co
Analyzing Customer Experience Feedback Using Text Mining: A Linguistics-Based Approach
No full textComplexity surrounding the holistic nature of customer experience has made measuring customer perceptions of interactive service experiences challenging. At the same time, advances in technology and changes in methods for collecting explicit customer feedback are generating increasing volumes of unstructured textual data, making it difficult for managers to analyze and interpret this information. Consequently, text mining, a method enabling automatic extraction of information from textual data, is gaining in popularity. However, this method has performed below expectations in terms of depth of analysis of customer experience feedback and accuracy. In this study, we advance linguistics-based text mining modeling to inform the process of developing an improved framework. The proposed framework incorporates important elements of customer experience, service methodologies, and theories such as cocreation processes, interactions, and context. This more holistic approach for analyzing feedback facilitates a deeper analysis of customer feedback experiences, by encompassing three value creation elements: activities, resources, and context (ARC). Empirical results show that the ARC framework facilitates the development of a text mining model for analysis of customer textual feedback that enables companies to assess the impact of interactive service processes on customer experiences. The proposed text mining model shows high accuracy levels and provides flexibility through training. As such, it can evolve to account for changing contexts over time and be deployed across different (service) business domains; we term it an "open learning" model. The ability to timely assess customer experience feedback represents a prerequisite for successful cocreation processes in a service environment. © The Author(s) 2014
A Multiagent-based Framework for Integrating Biological Data
No full textBiological data has been rapidly increasing in volume in different Web data sources. To query multiple data sources manually on the internet is time consuming for biologists. Therefore, systems and tools that facilitate searching multiple biological data sources are needed. Traditional approaches to build distributed or federated systems do not scale well to the large, diverse, and the growing number of biological data sources. Internet search engines allow users to search through large numbers of data sources, but provide very limited capabilities for locating, combining, processing, and organizing information. A promising approach to this problem is to provide access to the large number of biological data sources through a multiagent-based framework where a set of agents can cooperate with each other to retrieve relevant information from different biological Web databases. The proposed system uses a mediator-based integration approach with domain ontology, which uses as a global schema. In this paper we propose a multiagent-based framework that responds to biological queries according to its biological domain ontology.</p
Fog-Based CDN Framework for Minimizing Latency of Web Services Using Fog-Based HTTP Browser
No full textCloud computing has been a dominant computing paradigm for many years. It provides applications with computing, storage, and networking capabilities. Furthermore, it enhances the scalability and quality of service (QoS) of applications and offers the better utilization of resources. Recently, these advantages of cloud computing have deteriorated in quality. Cloud services have been affected in terms of latency and QoS due to the high streams of data produced by many Internet of Things (IoT) devices, smart machines, and other computing devices joining the network, which in turn affects network capabilities. Content delivery networks (CDNs) previously provided a partial solution for content retrieval, availability, and resource download time. CDNs rely on the geographic distribution of cloud servers to provide better content reachability. CDNs are perceived as a network layer near cloud data centers. Recently, CDNs began to perceive the same degradations of QoS due to the same factors. Fog computing fills the gap between cloud services and consumers by bringing cloud capabilities close to end devices. Fog computing is perceived as another network layer near end devices. The adoption of the CDN model in fog computing is a promising approach to providing better QoS and latency for cloud services. Therefore, a fog-based CDN framework capable of reducing the load time of web services was proposed in this paper. To evaluate our proposed framework and provide a complete set of tools for its use, a fog-based browser was developed. We showed that our proposed fog-based CDN framework improved the load time of web pages compared to the results attained through the use of the traditional CDN. Different experiments were conducted with a simple network topology against six websites with different content sizes along with a different number of fog nodes at different network distances. The results of these experiments show that with a fog-based CDN framework offloading autonomy, latency can be reduced by 85% and enhance the user experience of websites
Modern Arabic literary biography : a study of character portrayal in the works of Egyptian biographers of the first half of the twentieth century, with special reference to literary biography
No full textIn Chapter one, I presented a comparative definition of the meaning of Sirah (PI.Siyar), Tarjamah (Pl. Tarajim), Manaqib, Tabaqat and Maghazi as they were understood in antiquity. I also showed how the meaning of Sirah in modern times has only narrowly developed. Although the method of biographical writing continuously developed in Europe, it hardly progressed in Modem Arabic Literature. The only exception was seen in the writings by the pioneers of enlightenment in Egypt at the beginning of the twentieth century. This change of direction relied on borrowing European methodology in biographical writing.
In chapter two, I reviewed the early attempts at writing biographies in the nineteenth century by Abd al Rahman al- Jabarti and Ali Mubarak. Although both were the first
pioneers in this respect, yet they followed the footpath of classical approach above all that of al-Maqarizi from whom -Ali Mubarak derived inspiration in his book Al-Khitat al-Tawfiqiyyah.
In chapter three, I studied the twentieth century, starting with traditional biography writers who could not employ European methodologies and whose writings oscillated between biographical notes and biographical sketches; or whose texts were more of a literary study than a biography proper.
In chapters four to nine, I selected the most renowned, productive writers who best represented methodologies of biography writing. Perhaps certain writers have not
been mentioned in this period of study. This is not out of negligence but simply because their texts were totally out of reach, or their writings did not exhibit the
required literary criteria.
All methodologies representing the theory of biography writing in Egypt have been analysed in these chapters. All, in fact, form a digestion or assimilation of French,English and German schools. In Egypt, Taha Husayn is considered the chairman of the French school, al-Mazini and al-Aqqad of the English/German schools, al-Nuwaihi of the psychoanalytical/anatomical school and Sidqi who employed both. By contrast, al Iryan was the trailblazer of the distinguished biographical novel.
In these chapters, I tried to lay out the general outlines these writers have produced in the production of biographical texts, and how these attempts were a successful step on the road of presenting literary biographies characterized by high world standards.
Chapter ten may well seem traditional, but it is important to give a comparative outlook on the views of biography writers themselves when they study and analyse
the same character.
Among the characters studied ,I selected Bashsliar, Abu Nuwas, Ibn al-Run-i, al-Mutanabbi and al-Maarri. These are outstanding landmarks in the history of Arab verse and the subject of a multitude of studies as well. Modern biographers took these figures as a test field for the deployment and employment of biographical methodologies. I selected these examples to provide comparisons and explain how far these biographies were successful in producing a biography or a profile of those classical poets.
The conclusion and the bibliographical list arrived at the end of research.
I wish, however, to clarify one important point here. It seems that I could not fix the year 1950 as the temporal parameter of my research but took some textswhich were
published shortly beyond that point. The reason for this obvious extension was either to give additional useful details or simply because chapters of such texts had already
been published prior to that year and were known to the readership.
At times I would satisfy myself with analysing the part rather than the whole. This again was meant to eschew repetition or was due to the fact that the book in question
was not available
Factors Influencing Investment Decisions in Financial Investment Companies
No full textFor making the most favorable financial decisions possible, it is essential to have an understanding of aspects and the factors which can play a role in the decision-making. In contrast to previous research on the subject, which has only examined a single factor in making investment decisions, our study takes a more holistic approach by looking at several factors. The purpose of this study was to discover the elements that influence investment decisions made by financial organizations that are listed on Iraqi stock exchanges (ISX). The research was carried out on the six companies that made up the study’s sample size. For the purpose of data collection, the researcher utilized a structured questionnaire that was delivered to the respondents in an individual capacity. The questionnaire contained eight items. The factors of the questionnaire were analyzed with respect to normal distribution, the problem of linear multiplicity, the validity of the questionnaire in terms of content and appearance, the stability of the questionnaire by the split-half method, and the test and re-test method. In addition, the research hypotheses were tested on both the independent variables and the dependent variables. We calculated the mean, standard deviation, weight percentile, and coefficient of variance from the collected data. The significance of the connection between the dimensions of the decision-making factors was clarified through the use of Spearman’s correlation coefficient and the t test. We concluded that in the last step of the proposed model there is an increase in coefficients of determination and it reaches a value of (0.98), which is a very excellent and almost complete interpretation of the impact of dimensions extracted in the model and their impact on investment decision. As is noted, a slight decline in the value of the regression coefficient for all variables occurred, and also we noticed that the signs for the coefficients for the five variables are positive, meaning that they reflect the extent of the direct effect of those variables in making the investment decision. The response rate for the questionnaire was 97.7%
Does Trade Facilitation Matter in Bilateral Trade ?
No full textThis paper estimates an augmented gravity model incorporating different aspects of Trade Facilitation in develop and developing countries. Trade Facilitation is defined as measures that aim at making international trade easier by eliminating administrative delays, simplifying commercial procedures, increasing transparency, security and the place of new technologies in trade. This paper provides new theoretical and empirical enhancements. On the one hand, the model is based on theoretical foundations related to monopolistic competition and border effects. The orginality of this paper is that Trade Facilitation facets are included in the model. On the other hand, the empirical achievement of the paper is that it uses different databases allowing us to take into account many features of Trade Facilitation. I use several databases coming from different sources : Doing business (World Bank) and Institutional Profiles (CEPII). My main findings show that transaction time for imports and number of documents for exports have a negative impact on trade. Our sample is split into sub-samples in order to take into account the impact of development level. It turns out that Trade Facilitation aspects have not the same impact on developed and developing countries. Finally, we conclude that some perishable (food and beverages), seasonal (wearing apparels) and high-value added products are more sensitive to import time than other products. Hard industries are rather sensitive to export documents.Trade facilitation, gravity models, border effects.
Coauthor prediction for junior researchers
No full textResearch collaboration can bring in different perspectives and generate more productive results. However, finding an appropriate collaborator can be difficult due to the lacking of sufficient information. Link prediction is a related technique for collaborator discovery; but its focus has been mostly on the core authors who have relatively more publications. We argue that junior researchers actually need more help in finding collaborators. Thus, in this paper, we focus on coauthor prediction for junior researchers. Most of the previous works on coauthor prediction considered global network feature and local network feature separately, or tried to combine local network feature and content feature. But we found a significant improvement by simply combing local network feature and global network feature. We further developed a regularization based approach to incorporate multiple features simultaneously. Experimental results demonstrated that this approach outperformed the simple linear combination of multiple features. We further showed that content features, which were proved to be useful in link prediction, can be easily integrated into our regularization approach. © 2013 Springer-Verlag
The Paradox of Poverty: Socio-Economic Aspects of Population Growth.— By T. Scarlett Epstein and Darrell Jackson. The Macmillan of India Limited Delhi, 1975. pp.127.
No full textTo many social theoreticians, the population explosion,
particularly in the developing nations presents a crippling threat to
their developmental pro¬cesses. Their argument's validity rests mainly
on the assumption that expected economic progress is swallowed up by
unbalanced rise of numbers in the population. The book being reviewed
deals mainly with this subject matter and is divided into two parts,
each containing three articles contributed by various researchers. Part
one, 'The Social context of Fertility Decision' is focused on analyzing
the role of factors affecting fertility at the micro-level decision
making process. The first article 'Fertility decision in rural India' by
Vinod Jainath, examines the applicability to rural India of various
models of the process of fertility decision making and finds most of
these wanting with respect to the Indian social situation. While
analyzing the fertility patterns of Rural India, he points out the
positive need for larger families among the poor small farmers mainly
due to labour supply considerations. The author argues that unemployment
and under¬employment actually motivate the poor to have more children as
it better ensures their economic security in their old age. As the
chances of gaining employ¬ment for their offspring diminish, they are
induced to increase the total number of children in order that atleast
one will be able to support them. Thus a vicious circle of poverty
arises in large families because of each of the parents wanting to
increase their children's chances of employment by ultimately reducing
the overall employment opportunities even further and exacerbating their
poverty
- …
