Bi-Variate Causal Estimates of Dividend Yield, Earning Yield Ratios and Stock Index: A Case of Karachi Stock exchange

The study examines the relationships between Pakistan’s market stock returns, dividend yields and earning yield ratios. Specifically, it examines the existence of long-run and short-run relationships between and among stock market return, dividend yield and earnings earning yield ratios. Using the monthly data from 1997-2007, the study finds that all these fundamental variables have a strong long run relationships. As for the short run relationship, the results show significant predictive power from dividend yield to stock return and stock market return to earning yield ratio. In addition to applying vector error correction model, the results show that there is the significant long-term equilibrium between stock market index, dividend yield and earning yield ratios. Hence, fundamental variables are an important source of information in determining the stock market returns and useful to investors and other stakeholders in making their investment decisions. Keywords: Causal Relationship, Dividend Yield, Earning Yield and Stock Index

An audit of clinical laboratory data of 25OHD at Aga Khan University as reflecting Vitamin D deficiency in Pakistan

Objectives: To estimate the burden of Vitamin D deficiency in people from different geographical areas of Pakistan. Methods: The retrospective study was conducted at the Aga Khan University Hospital, Karachi, and comprised specimens of subjects tested for 25-hydroxy D at the clinical laboratory between September 2010 and September 2011. Serum samples received from the phlebotomy centres all over Pakistan and the main laboratory in Karachi were included. SPSS 19 was used for statistical analysis. Results: Of the 60937 specimens in the study, 18721(30.7%) related to men. The overall mean age was 40.5±19.7 years, and median 25-hydroxy D level was 13.5ng/ml (interquartile range: 25.1-7.4 ng/ml).Overall, mean log 25-hydroxy D was 1.14±0.39ng/ml (median: 13.5ng/ml; interquartile range: 25.1-7.4 ng/ml). Out of the total, 40279(66.1%) subjects were vitamin D-deficient

A study on implementing the coronial system in Malaysia upon custodial deceased of the detainee. / Hazwani Zahari … [et al.]

The importance of having the coronial system in Malaysia is to uphold the human rights as we all know the human rights are the essential rights and can become a sensitive issue to every country in this world. The objectives of this research are to provide an avenue to the family members of the deceased detainee to seek justice, to investigate the importance and the need of coronial system in our country and also to recommend the coronial system in Malaysia. Coronial system is an ancient system that has been practiced by many countries up until today. By having the independent coroner court, it will give justice to the deceased who died during detention or in custody of the state, particularly in the police as well as other enforcement agencies' custody. It also gives the satisfaction to the family of the deceased and also to the public who question the manner of the death of the deceased. Besides that, by having the independent court in our country it will ensure that every custodial death will be investigated in a thorough and proper manner. This research further seeks guidance from several notable countries such as the United Kingdom, Australia, Germany, New Zealand, England and Wales, which practice the coronial system in order to initiate the same system in Malaysia

Dust attenuation in galaxies at cosmic dawn from the FirstLight simulations

We study the behavior of dust in galaxies at cosmic dawn, z=6-8, by coupling the FirstLight simulations with the radiative transfer code POLARIS. The starburst nature of these galaxies and their complex distribution of dust lead to a large diversity of attenuation curves. These follow the Calzetti model only for relatively massive galaxies, Mstars=10^9Msun. Galaxies with lower masses have steeper curves, consistent with the model for the Small Magellanic Cloud (SMC). The ultraviolet and optical slopes of the attenuation curves are closer to the modified Calzetti model, with a slight preference for the power-law model for galaxies with the highest values of attenuation. We have also examined the relation between the slope in the far-ultraviolet, beta_UV , and the infrared excess, IRX. At z=6, it follows the Calzetti model with a shift to slightly lower beta_UV values due to lower metallicities at lower attenuation. The same relation at z=8 shows a shift to higher IRX values due to a stronger CMB radiation at high-z.Comment: 9 pages, 6 figures, accepted at MNRA

Impact of Social Networking Sites on Academic Performance of University Students: A Quantitative Analysis

Purpose: The aim of this research study is to examine the possible impact of social networking sites on the academic performance of university students. The rationale behind the study is to find out whether the daily exposure of the students to social networking sites has an effect on their academic performance. The researcher tries to find out the answers to research questions. 1. Most used social networking sites by students and purpose of using social networking sites, 2. How much time students spend on their studies? 3. How much time students spend on social networking sites? The research study also tests a hypothesis that social networking site usage has a significant impact on the academic performance of students. Methodology: The researcher uses a quantitative study design to conduct the research. A sample comprised of hundred students has been selected by means of convenience sampling from a private sector university of Karachi to study the phenomenon. Data has been collected through a detailed structured questionnaire and analyzed by using Statistical Packages for Social Sciences (SPSS V 17.0). Findings: Findings also show that exposure to social media has an effect on the students as they found to be more engaged in social networking instead of spending time on studies. Conclusion: This paper recommends that students should pay more attention to studies, limit their use of social networking and use it more for educational purposes

Social Media Dependency and Work-Related Attitudes with Religiosity Mediation

The paper explores the social media dependency and work-related attitudes about religiosity as a mediator among employees in public and private organizations. Not many studies explore the above variables especially in the context of Malaysian employees. Self-administered questionnaires were distributed among employees in the public and private organizations in the selected major cities in the country. Data analyses are conducted using SPSS, namely reliability analysis, correlation analysis, regression analysis, and mediation analysis. Interestingly, the paper only discovers religiosity has a positive impact on work-related attitudes among employees in public and private organizations. Unfortunately, the other hypotheses are not supported and no mediation of religiosity on social media dependency and work-related attitudes was discovered. Further analysis is conducted on religiosity as moderator; the result also shows no moderation of religiosity on social media dependency and work-related attitudes. Discussions on the results are elaborated accordingly

Quantum Long Short-Term Memory (QLSTM) vs Classical LSTM in Time Series Forecasting: A Comparative Study in Solar Power Forecasting

Accurately forecasting solar power generation is crucial in the global progression towards sustainable energy systems. In this study, we conduct a meticulous comparison between Quantum Long Short-Term Memory (QLSTM) and classical Long Short-Term Memory (LSTM) models for solar power production forecasting. Our controlled experiments reveal promising advantages of QLSTMs, including accelerated training convergence and substantially reduced test loss within the initial epoch compared to classical LSTMs. These empirical findings demonstrate QLSTM's potential to swiftly assimilate complex time series relationships, enabled by quantum phenomena like superposition. However, realizing QLSTM's full capabilities necessitates further research into model validation across diverse conditions, systematic hyperparameter optimization, hardware noise resilience, and applications to correlated renewable forecasting problems. With continued progress, quantum machine learning can offer a paradigm shift in renewable energy time series prediction. This pioneering work provides initial evidence substantiating quantum advantages over classical LSTM, while acknowledging present limitations. Through rigorous benchmarking grounded in real-world data, our study elucidates a promising trajectory for quantum learning in renewable forecasting. Additional research and development can further actualize this potential to achieve unprecedented accuracy and reliability in predicting solar power generation worldwide.Comment: 17 pages, 8 figure

Smart Surveillance and Detection Framework Using YOLOv3 Algorithm

In this paper, we proposed a method for locating, identifying, and admitting the activities of intrigued, in nearly actual time, from outlines gotten by a ceaseless tide of video information from an observation camera. This article endorses the way to follow, distinguish, and take note of the exercises of captivated in about real-time from follows gotten by a nonstop stream of video information from a reconnaissance camera. The appearance takes input, follows an appeared time space and can provide an activity title based on a single format. We illustrate that YOLO is a viable strategy and comparatively quick for localization within the custom dataset. The findings and analysis of the model will be presented in the following sections. The demonstration collects input outlines after a foreordained interim and can dole out an activity name based on a single outline. We anticipated the activity name for the video stream by combining the discoveries over a period. Because of its benefits, this YOLO strategy is utilized to distinguish action. This method may be used in various settings to tackle real-world problems, such as shopping malls, ATMs, banks, offices, homes, and societies. We have developed a model that detects some ideal human actions