Relationship between Awareness and Use of Digital Information Resources among University Students of Southern Punjab

The purpose of this study was to determine the relationship between awareness and use of digital information resources among students of universities in South Punjab. The researcher adopted survey research design and employed questionnaire as a research method to collect the data from respondents. The population of the study consisted on BS, Master, MS, M. Phil and PhD programs students of The Islamia University Bahawalpur and Bahauddin Zakariya University Multan. A convenience sampling technique was used to collect data from respondents. A statistical package for social science (SPSS-20) was used for the analysis of data. The result of the study found that majority of respondents used university library on occasionally basis and most of respondents give preference to digital information resources over printed materials. Most of the respondents agreed that they consult digital information resources for academic work, assignments and for the use of research purposes. Majority of the respondents had skills to used different database like HEC digital library, HEC Summon, Science Direct, JStore etc. A statistically it was found a strong relationship between awareness and use of digital information resources. The barriers faced by respondents while using digital information resources were; slow internet connectivity, respondents’ low ICT skills and limited access to university information resources etc

Deep intelligent predictive model for the identification of diabetes

Diabetes mellitus is a severe, chronic disease that occurs when blood glucose levels rise above certain limits. Many complications arise if diabetes remains untreated and unidentified. Early prediction of diabetes is the most high-quality way to forestall and manipulate diabetes and its complications. With the rising incidence of diabetes, machine learning and deep learning algorithms have been increasingly used to predict diabetes and its complications due to their capacity to care for massive and complicated facts sets. This research aims to develop an intelligent computational model that can accurately predict the probability of diabetes in patients at an early stage. The proposed predictor employs hybrid pseudo-K-tuple nucleotide composition (PseKNC) for sequence formulation, an unsupervised principal component analysis (PCA) algorithm for discriminant feature selection, and a deep neural network (DNN) as a classifier. The experimental results show that the proposed technique can perform better on benchmark datasets. Furthermore, overall assessment performance compared to existing predictors indicated that our predictor outperformed the cutting-edge predictors using 10-fold cross validation. It is anticipated that the proposed model could be a beneficial tool for diabetes diagnosis and precision medicine

Exploratory Determinants Of Service Quality In Academic Libraries: Users’ Perspective

Today’s competitive environment focuses not only on providing high quality goods and services to their customers, but also emphasis to satisfy them at angle of three sixty degree. Libraries are also facing the same change and challenge in this age of information. This study examined the library users’ satisfaction about library services, measured on seven determinants, which were service quality, library atmosphere, staff attitude, technological facilities, electronic resources, user satisfaction and user’s loyalty. Survey research method used to conduct this study and initial data collected through a structured questionnaire. Which was divided into two parts, first was comprised of statements regarding users’ satisfaction with libraries of their concerned universities. The second part was about demographic information regarding the respondents. Before administering questionnaire, the respondents briefed about the questions. The university students were the population for this study, the probability stratified random sampling method used to ensure equal chance for each participant. The collected data analyzed through Statistical Package for Social Sciences (SPSS), along with descriptive statistics ANOVA test was applied for getting answers of research questions. The study concluded, students are satisfied with university libraries staff members’ attitude, found them cooperative, supportive and encourage students to use libraries effectively. The libraries service quality are pleasurable but not up to the expectations. The study concluded, students are satisfied with university libraries staff members’ attitude, found them cooperative, supportive and encourage students to use libraries effectively. The libraries service quality are pleasurable and up to the expectations. The users are not satisfied with library atmosphere, availability of electronic resources to meet users’ anticipations, technological facilities, Online Public Access Catalogs and websites are interactive. To answer research question, dig out high impact factors for student satisfaction are latest technological facilities and service quality. Keyword: Service quality, Digital resources, User satisfaction, Academic libraries, Digital libraries, Resources integration, Pakistan, Library user

Digital Resources Integration & Data Literacy Perspectives Among LIS Professionals of University Libraries in Pakistan

Purpose: The aim and crux of the study are to determine prospects of digital resources integration (DRI) and data literacy among Library & Information Science (LIS) professionals of university libraries of the province of the Punjab and Islamabad Capital Territory (ICT). Methodology: An extensive survey research method was used to prospects about digital resources integrations (DRI) among university libraries\u27 LIS professionals. This study comprised the LIS professionals working in university libraries of the province of the Punjab and Islamabad, Pakistan. A detailed questionnaire was used to collect the data for this significant study. Findings: The findings highlight that LIS professionals understand data analytics tools, methods,s and frameworks about digital resources integrations (DRI). And whether LIS professionals in university libraries of the Punjab and ICT are able or unable to recognize the use of data misrepresenting or misleadingly and practice of DRI. This study emphasizes the lack of data literacy, digital resources integrations (DRI) proficiency, and university libraries\u27 digital divide. Practical and research implications: The study provides the scope of digital resources integration (DRI) proficiency and DRI skills among LIS professionals working in university libraries. The study enhances into consideration about the capability of university LIS professionals to practice the digital resources integrations (DRI) in their libraries. Originality Value: This work is derived from my Ph.D. research dissertation to study of prospects of digital resources integration and which will help fill the gap of literature in Pakistan\u27s context. Keywords- Digital Resources Integration, DRI proficiency, Data Literacy, Digital Divid

Comparative Susceptibility of Different Cell Cultures and Chicken Embryo Organ Cultures to Infectious Bursal Disease Virus of Poultry

Infectious bursal disease (IBD) is an acute highly contagious viral infection of young chickens often resulting in immunosuppression. Inactivated vaccines play significant role in protection against IBD. Mammalian cell lines could be used for producing such vaccines. In present study twenty-five, local strains of IBD virus were inoculated into chicken embryo bursa cell culture, liver cell culture, kidney cell culture, fibroblast cell culture and Vero cell lines for cytopathic effect. Moreover comparative susceptibility of chicken embryo bursa organ, embryo liver organ and embryo kidney organ cultures, to infectious bursal disease virus were studied. Chicken embryo bursa cell line was found to be most susceptible (90%) followed by Vero cell lines (70%), fibroblast cell lines (65%), kidney cell lines (50%) and liver cell lines (45%). While chicken embryo bursa organ culture gave maximum cytopathic effect (80%) followed by chicken embryo liver (60%) and kidney organ (45%). From these studies it is concluded that after bursa cell lines, Vero cell lines gave maximum cytopathic effect yielding high number of virus particles and are easy to maintain. Thus Vero cell lines can be used to produce infectious bursal disease vaccines using local isolates

productivity improvement through time study approach a case study from an apparel manufacturing industry of pakistan

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Perceived Information Literacy Skills among University Students at AzadJammu&Kashmir

The present study was conducted with an aim to determine the perceived information literacy skills among university students at Azad Jammu & Kashmir. A survey research design was used to collect data from the participants. The population of this study was post-graduate students enrolled in public sector universities of AJ&K. A convenience sampling technique was used to collect the data. A statistical package for social sciences (SPSS-20) was used for the analysis of data. Descriptive statistics was used to determine the percentage, frequency, mean and standard deviation, and the inferential statistic was used to determine relationships among variables. The result of the study found that the majority of the respondents have ability to recognize, understand, locate, evaluate, use, communicate, and manage required information (M=3.77). However, few of them were facing difficulties, while using digital information resources due to poor ICT skills (M=3.62). The results of the study also revealed that a good number of information resources were available in university libraries but they were not properly utilized due to a lack of information literacy skills (M=3.56). Lack of information literacy training and workshops were the main barriers faced by respondents while acquiring information literacy skills (M=3.56). Moreover, it was found that a statistically significant relationship (P= .000) exists between the age of the respondents and their information literacy skills. This shows that the age of the respondents and information literacy skills were correlated with each other. The significance value (P=.001) indicated that the gender of the respondents and their level of information literacy skills were also correlated. Further, the statistical value (P=. 218) indicated that the level of degree and information literacy skills of respondents were not correlated

Learning paradigms for communication and computing technologies in IoT systems

© 2020 Elsevier B.V. Wireless communication and computation technologies are becoming increasingly complex and dynamic due to the sophisticated and ubiquitous Internet of things (IoT) applications. Therefore, future wireless networks and computation solutions must be able to handle these challenges and dynamic user requirements for the success of IoT systems. Recently, learning strategies (particularly deep learning and reinforcement learning) are explored immensely to deal with the complexity and dynamic nature of communication and computation technologies for IoT systems, mainly because of their power to predict and efficient data analysis. Learning strategies can significantly enhance the performance of IoT systems at different stages, including at IoT node level, local communication, long-range communication, edge gateway, cloud platform, and corporate data centers. This paper presents a comprehensive overview of learning strategies for IoT systems. We categorize learning paradigms for communication and computing technologies in IoT systems into reinforcement learning, Bayesian algorithms, stochastic learning, and miscellaneous. We then present research in IoT with the integration of learning strategies from the optimization perspective where the optimization objectives are categorized into maximization and minimization along with corresponding applications. Learning strategies are discussed to illustrate how these strategies can enhance the performance of IoT applications. We also identify the key performance indicators (KPIs) used to evaluate the performance of IoT systems and discuss learning algorithms for these KPIs. Lastly, we provide future research directions to further enhance IoT systems using learning strategie

Optimization of Knitted Fabrics for better Thermo-Physiological Comfort by using Taguchi-based Principal Component Analysis

The water, air permeability and thermal resistance of fabrics are important attributes that have a significant impact on the thermal comfort properties of sportswear fabrics in different environmental conditions. In this work, terry and fleece fabrics were developed by varying the fibre content and mass per unit area of fabrics. Moreover, the thermo-physical properties of the developed fabrics, including air permeability, water vapor permeability and thermal resistance, were analysed before and after washing. The multi-response optimization of the thermal comfort properties of knitted fabrics was performed using principal component analysis (PCA) and the Taguchi signal-to-noise ratio (PCA-S/N ratio) to achieve optimal properties. It was determined that the selected parameters (fabric type, finishing, fibre content and fabric mass per unit area) had a significant effect on the thermal comfort properties of knitted fabrics. The PCA analysis showed that 100% cotton terry fabric before washing with an aerial weight of 220 g/m2 had higher air and water vapor permeability value, but a lower thermal resistance value