63 research outputs found
Modeling the Dynamics of Infectious Disease Under the Influence of Environmental Pollution
Backward Bifurcation in a Cholera Model: A Case Study of Outbreak in Zimbabwe and Haiti
In this paper, a nonlinear deterministic model is proposed with a saturated treatment function. The expression of the basic reproduction number for the proposed model was obtained. The global dynamics of the proposed model was studied using the basic reproduction number and theory of dynamical systems. It is observed that proposed model exhibits backward bifurcation as multiple endemic equilibrium points exist when [Formula: see text]. The existence of backward bifurcation implies that making [Formula: see text] is not enough for disease eradication. This, in turn, makes it difficult to control the spread of cholera in the community. We also obtain a unique endemic equilibria when [Formula: see text]. The global stability of unique endemic equilibria is performed using the geometric approach. An extensive numerical study is performed to support our analytical results. Finally, we investigate two major cholera outbreaks, Zimbabwe (2008–09) and Haiti (2010), with the help of the present study. </jats:p
To boost or not? Serum anti-COVID IgG in double vaccinated MBBS students: a cross-sectional study
Background: Aim of the study was to estimate the prevalence of sero-positivity i.e. serum anti-covid IgG >1.4 AU/ml in MBBS students of our Institute.
Methods: This study was carried out on 75 MBBS students of our institute (10% of 750 MBBS students of Amaltas institute of Medical Sciences Dewas M.P. India) during period of August 2022 to November 2022. All serum anti-covid IgG titres above 1.4 AU/ml were considered sero-positive and the prevalence of sero-positivity was calculated. MBBS students were asked to fill out a questionnaire regarding their clinical history of testing positive for covid, exposure to COVID-19 patients, their covid appropriate behavior, etc. After obtaining informed consent, 4 ml venous blood samples were collected for determining serum anti-covid IgG titre on Chemiluminescence analyzer. 75 MBBS students divided into 2 groups – those who completed between 6-9 months and those who have completed more than 9 months after the 2nd dose of vaccine. The mean serum anti-covid IgG titre was compared.
Results: The prevalence of sero-positivity was 94.66% calculated in MBBS students of our institute. The total antibody sero-positivity was higher in males (98.11%) than in females (86.36). The duration after 2nd dose of vaccine; over the time 6-9 months serum anti-covid IgG titre significantly high but after more than 9 months serum anti covid IgG titre significantly decline (p<0.001) and significant correlation was found between duration after 2nd dose of vaccine and serum anti-covid IgG titres (p<0.001).
Conclusions: This study; strongly recommended the need for booster doses for long-duration protection against COVID-19 re-infection and its emerging new variants
Exploratory Study of the Companies’ Economic Performance Using a Social Customer Relationship Management
AbstractThe epistemological positioning of scientific approach involves the diversity of the viewpoints of academics and specialists, exclusiveness not being considered. This paper aims to reflect own contributions to the development of management theory and management practice in Romania. First of all, the proposed scientific approach is a positivist approach, because it envisages the interposition of own reflections, an observation of what is happening in the market, an authentic presentation as it is. The main objective of this scientific research is to highlight the importance of social media as a mean of business development by creating new opportunities through promotion and a better brand visibility in the market. In the literature we have outlined a number of methods to assess the way in which companies approach the CRM: call method, the interview, the questionnaire, etc. Quantitative investigation of this paper was conducted based on assessment questionnaire, addressed to the employees of some Romanian companies. The qualitative investigation was conducted at the end of the research, based on analysis and structuring the information obtained. In this paper there were analyzed three elements: management position with the implementation of a CRM system; CRM to SCRM transition and the use of the new SM technologies in the implementation of a CRM system; applying of a SCRM system using social media platforms. As a result of the conducted study it was found that the media is one of the main trainers of public opinion, if not the main, controlling the public sphere. It conveys information, but also it controls and steers the public opinion. Thus, SM can form quickly enough media crisis to lower the public favorability for certain companies or politicians. In this way, by resorting to specific Social Media tools, the companies can obtain crucial information for evaluating the consumer satisfaction, information that would be more difficult to obtain traditionally
Effect of deposition time on the properties of Al doped ZnO films prepared by DC magnetron sputtering
Design and implementation of a simulation tool to study wait times in cataract surgery
Eye cataracts are a common problem for senior people. Long wait times for cataract surgery degrade the patients' quality of life. Reduction in long wait times in eye cataract surgery has got importance as one of the five major priority areas in the health care systems in Canada. The main contribution of this thesis is to design and develop a discrete event simulation tool in JAVA to study the wait times (wait time 1 and wait time 2) for patients in cataract surgical procedure. Two cataract surgical procedures are simulated in the simulation tool Northern Health Cataract Surgical Model (NHCS Model) and Cataract Surgery Generic Model (CSG Model). Two alternative patient referral methods (refer patients to the surgeon with the least number of patients and uniform distribution of patients) are proposed and compared to the existing method to examine which method results in reduced wait times. The impacts of changing the resources (surgeon and OR) on wait times were analysed. The Manitoba Cataract Waiting List Program (MCWLP) priority system is simulated and compared to the existing FCFS policy to see whether the scheduling of patients for surgery based on priority improves wait times. Experimental results show that the two proposed methods significantly reduce wait times. It is found that Northern Health would meet the target wait time 2 (16 weeks) if one more OR (total of two ORs) is allocated for cataract surgery. The use of priority scheduling did not show any improvement in wait time 2. Increasing budget or number of resources is not always easy for any health care authority. This thesis suggests that, if Northern Health authority changes the existing patient referral method, it would definitely reduce wait times for patients.The original print copy of this thesis may be available here: http://wizard.unbc.ca/record=b205527
Rights of the Girl Child in India Struggle for Existence and Well-Being
This book presents the rights of the girl child as unique and her development and well-being as essential for India's development as a nation.Cover -- Contents -- List of Abbreviations -- Introduction -- Chapter 1: Defining Childhood -- Chapter 2 : The Status of the Girl Child -- Chapter 3 : The Girl Child as a Vulnerable Segment in India -- Chapter 4 : Law and Legal Discourses -- Chapter 5 : Cultural Relativism and Violation of Human Rights of Girls and Women -- Conclusion -- References -- About the Author -- IndexThis book presents the rights of the girl child as unique and her development and well-being as essential for India's development as a nation.Description based on publisher supplied metadata and other sources.Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, YYYY. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries
Authorship Attribution in Less-Resourced Languages: A Hybrid Transformer Approach for Romanian
Authorship attribution for less-resourced languages like Romanian, characterized by the scarcity of large, annotated datasets and the limited number of available NLP tools, poses unique challenges. This study focuses on a hybrid Transformer combining handcrafted linguistic features, ranging from surface indices like word frequencies to syntax, semantics, and discourse markers, with contextualized embeddings from a Romanian BERT encoder. The methodology involves extracting contextualized representations from a pre-trained Romanian BERT model and concatenating them with linguistic features, selected using the Kruskal–Wallis mean rank, to create a hybrid input vector for a classification layer. We compare this approach with a baseline ensemble of seven machine learning classifiers for authorship attribution employing majority soft voting. We conduct studies on both long texts (full texts) and short texts (paragraphs), with 19 authors and a subset of 10. Our hybrid Transformer outperforms existing methods, achieving an F1 score of 0.87 on the full dataset of the 19-author set (an 11% enhancement) and an F1 score of 0.95 on the 10-author subset (an increase of 10% over previous research studies). We conduct linguistic analysis leveraging textual complexity indices and employ McNemar and Cochran’s Q statistical tests to evaluate the performance evolution across the best three models, while highlighting patterns in misclassifications. Our research contributes to diversifying methodologies for effective authorship attribution in resource-constrained linguistic environments. Furthermore, we publicly release the full dataset and the codebase associated with this study to encourage further exploration and development in this field
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