Measuring Service Quality in Dr. Zakir Husain Library, J.M.I, New Delhi: A Survey

The aim of this study is to measure the perceptions of the Dr. Zakir Husain Library users as they relate to quality service and to determine how far the Dr. Zakir Husain Library has succeeded in delivering such service to its users. The research was carried out among the students of the Jamia Millia Islamia, New Delhi. A questionnaire was used as the data gathering instrument. The instruments for data collection consisted of structured questions. All the closed ended questions were designed to elicit responses on a five point Likert scale to measure both respondent satisfaction and perception of service quality. The results would appear to indicate that the Dr. Zakir Husain Library is not lacking in quality of service. Studies of both theoretical principles and experimental implementations demonstrate. This article includes description of the planning, implementation and maintenance of the quality management system by the library, along with continual improvement efforts to provide quality service to the library clientele. This paper will be helpful to libraries planning to implement a quality management system to improve its quality service and increase customer satisfaction

Measuring Service Quality in Dr. Zakir Husain Library, J.M.I, New Delhi: A Survey

The aim of this study is to measure the perceptions of the Dr. Zakir Husain Library users as they relate to quality service and to determine how far the Dr. Zakir Husain Library has succeeded in delivering such service to its users. The research was carried out among the students of the Jamia Millia Islamia, New Delhi. A questionnaire was used as the data gathering instrument. The instruments for data collection consisted of structured questions. All the closed ended questions were designed to elicit responses on a five point Likert scale to measure both respondent satisfaction and perception of service quality. The results would appear to indicate that the Dr. Zakir Husain Library is not lacking in quality of service. Studies of both theoretical principles and experimental implementations demonstrate. This article includes description of the planning, implementation and maintenance of the quality management system by the library, along with continual improvement efforts to provide quality service to the library clientele. This paper will be helpful to libraries planning to implement a quality management system to improve its quality service and increase customer satisfaction

Streptococcus pneumoniae hyaluronate lyase contains two non-cooperative independent folding/unfolding structural domains

Hyaluronate lyase contributes directly to bacterial invasion by degrading hyaluronan, the major component of host extracellular matrix of connective tissues. Streptococcus pneumoniae hyaluronate lyase (SpnHL) is built from two structural domains that interact through interface residues, in addition to being connected by a peptide linker. For the first time we demonstrate that the N- and C-terminal domains of SpnHL fold/unfold independent of each other suggesting the absence of any significant cooperative interactions between them. The C-terminal domain of SpnHL is less stable than the N-terminal domain against thermal and guanidine hydrochloride denaturation. The intact n-terminal domain was purified after limited proteolysis of SpnHL under conditions where only the C-terminal domain was unfolded. Isolated N-terminal domain of SpnHL had similar thermal stability as when present in the native enzyme and was found to be enzymatically active demonstrating that it is capable of carrying out enzymatic reaction on its own. Functional studies demonstrated that guanidine hydrochloride, guanidine isothiocyanate, l-arginine methyl ester, and l-arginine inhibit the enzymatic activity of SpnHL at very low concentrations. This provides a lead for new chemical entities that can be exploited for designing effective inhibitors of SpnHL

Use of Electronic Journals by Research Scholars and Postgraduate Students of University of Delhi and Jamia Millia Islamia: A Comparative Analysis

The emergence of the internet is a new medium of information storage and delivery represents a revolution, which will have a lasting impact on the electronic publication and delivery of information system in the twenty-first century. The developments in information technology have brought e-journals as a boon to research community, which are becoming a major source for scholarly communication. As e-journal is a journal available online or offline containing research papers, review articles, scholarly communications. In the electronic environment teaching, learning and research are being supported by e-journals which are emerging as new powerful tool. E-journals have an impact not only on libraries but on authors and publishers too. The present study aims to find out the use of electronic-journals by post graduate students and research scholars in the Faculty of Science University of Delhi and Jamia Millia Islamia University. A well-structured questionnaire was administered to collect the primary data from respondents. The main aim of this paper is to investigate the awareness, satisfaction level of users and suitable recommendations to improve facilities and services related to the use of e-journals

The Impact of Revised Wage Rate on Firm’s Competitiveness in the Ready Made Garment Sector of Bangladesh: A Case Study Comparison Between Large vs SME Garment Manufacturers

The objective of the paper was to critically analyse the impact of revised minimum wage rate on the competitiveness of different size garment manufacturers in Bangladesh. In doing so the paper adopted a case study approach and incorporated data from multiple case study companies. Notably, the paper aims to cover three main areas: industry conditions and its implications on profitability, the critical resources which are giving the large case study firms a competitive advantage and finally the impact of institutional change brought about by the Rana Plaza incident on different case study firms. Using relevant literature from these three areas the paper proposed 3 hypotheses which were in turn tested and re-developed by using the primary data collected from case study companies. The findings from the research highlighted that the profitability of the garment industry became particularly low only after the imposition of minimum wage; however the profitability in mid-market segment is still comparatively higher. The study also identified the two critical resources that are helping the large case study firms to strategize better in relation to tackling the impact of minimum wage, which were “Industrial Engineering Department” and “Vertically Integrated Supply Chain”. Finally the study identified the change in institutional paradigm and stringent monitoring brought about by Rana Plaza incident had a more significant impact for the SME’s due to issues such as decoupling which were much easier to pursue previously. Finally the paper also outlined some strategies which SME case study firms could adopt in order to minimize the impact of minimum wage. Notably, the revised minimum wage increase was only implemented from December 31st 2013 and there hasn’t been much academic work in relation to the context; therefore the study aims to provide a first-hand overview of the situation prevailing after the minimum wage which could be in turn used for further research in the area

Person independent classification of facial expressions using multi-class support vector machines

This thesis describes a fully automated computer vision system for detection and classification of the seven basic facial expressions using Multi-Class Support Vector Machines (SVM). Facial expressions are communicated by subtle changes in one or more discrete features such as tightening the lips, raising the eyebrows, opening and closing of eyes or certain combination of them, which can be identified through monitoring the changes in muscles movements (Action Units), located around the regions of mouth, eyes and eyebrows. An analytic representation of face with fifteen feature points describing the geometric and physical (muscle) model of facial expression structure has been used that represents and identifies the principal muscle actions and also provides visual observation (sensing) of the discrete features responsible for each of the seven basic human emotions. Feature points from the region of mouth have been detected by segmenting the lip contour applying a newly introduced variational formulation of the existing level set method. In addition, a multi-detector approach of facial feature point detection has been utilized for identifying the points of interest from the regions of eyes, eyebrows and nose. The feature vector composed of fifteen features is then obtained with respect to the average representation of neutral face by calculating the degree of displacement of five different pairs of points, and measuring the deviations of ten points from a non-changeable rigid point. Finally, the obtained feature sets are used to train a Multi-Class SVM classifier. The proposed automated facial expressions classification system has been tested extensively on two publicly available facial expression databases and 92.04% and 86.33% of average successful classification rates have been achieved. Besides, satisfactory results have been obtained by comparing the proposed method with other previous methods of facial expression classification

Seaweed modeling for drying and the efficiency as heavy metal removal in Kappaphycus Striatum variety Sacol using Solar Dryer

The solar drying experiment of seaweed using Green V-Roof Hybrid Solar Drier (GVRHSD) was conducted in Semporna, Sabah under the metrological condition in Malaysia. Drying of sample seaweed in GVRHSD reduced the moisture content from about 92.68% to 32.06% in 4 days at average solar radiation of about 600W/m 2 and mass flow rate about 0.5 kg/s. The drying kinetics was fitted with six published exponential model thin layer drying models. The models were fitted using the coefficient of determination (R 2), and root mean square error (RMSE). The result showed modified page was the best model for describe the drying behavior. In addition, the dried seaweed was used to show biosorptions of cadminium, lead, zinc and copper. Batch mode experiments were performed to determine experimental parameters affecting sorption process such as pH, initial metal ion concentration, shaking rate and biomass dosage. The Pb(II) showed Int. J. Environ. Bioener. 2013, 8(1): 42 highest sorption on pH 4, shaking rate on 250 rpm with 24.18% removal rate; at initial concentration of 100 ppm and adsorbent dosage at 4g/l the removal percentage is 28.30%. Overall, this report indicates that Kappaphycus Striatum Variety Sacol is an effective and economical sorbent for removal of heavy metals from wastewaters

The Relationship of Innovation Capabilities Towards Employees’ Perormance: Mediating Effect of Tecnoloical Diersity in UAE Manufacturing Companies

Towards Employees’ Performance: Mediating Effect of Technological Diversity in UAE Manufacturing Companie

The Relationship of Innovation Capabilities Towards Employees’ Perormance: Mediating Effect of Cultural Diversity in UAE Manufacturing Companies

Innovation capabilities of employees was considered as the main strategic activity of administered as a means of objective assessment of the individual performance of various professionals in MOI UAE. This study first aimed to identify whether employees’ innovation capabilities in MOI would exhibit better performance in UAE. Secondly, this study also aimed to identify the theoretical issues related with cultural and technological diversity with individual innovation capabilities and gave the ways to improve their performance in MOI UAE setting. This study proposes a conceptual framework for understanding innovation process and knowledge management aspects of innovation capability which would influence individual performance. The conceptual framework includes cultural diversity as mediating variable in the effect of innovation capability which would influence individual performance. The conceptual carry out through empirical review of literature and development of hypothesis. The adaption of well-structured questionnaire used in this study. The study also validates the proposed conceptual framework using a second-order confirmatory factor analysis technique, namely, structural equations modelling, with the data collected from 607 followers from 6 MOI departments in the UAE

Designing and developing a vision-based system to investigate the emotional effects of news on short sleep at noon: an experimental case study

Background: Sleep is a critical factor in maintaining good health, and its impact on various diseases has been recognized by scientists. Understanding sleep patterns and quality is crucial for investigating sleep-related disorders and their potential links to health conditions. The development of non-intrusive and contactless methods for analyzing sleep data is essential for accurate diagnosis and treatment. Methods: A novel system called the sleep visual analyzer (VSleep) was designed to analyze sleep movements and generate reports based on changes in body position angles. The system utilized camera data without requiring any physical contact with the body. A Python graphical user interface (GUI) section was developed to analyze body movements during sleep and present the data in an Excel format. To evaluate the effectiveness of the VSleep system, a case study was conducted. The participants' movements during daytime naps were recorded. The study also examined the impact of different types of news (positive, neutral, and negative) on sleep patterns. Results: The system successfully detected and recorded various angles formed by participants' bodies, providing detailed information about their sleep patterns. The results revealed distinct effects based on the news category, highlighting the potential impact of external factors on sleep quality and behaviors. Conclusions: The sleep visual analyzer (VSleep) demonstrated its efficacy in analyzing sleep-related data without the need for accessories. The VSleep system holds great potential for diagnosing and investigating sleep-related disorders. The proposed system is affordable, easy to use, portable, and a mobile application can be developed to perform the experiment and prepare the results