51 research outputs found
The resilience of Islamic Equity Funds during COVID-19: Evidence from risk adjusted performance, investment styles and volatility timing
This paper analyses the risk-adjusted performance of Islamic and conventional equity funds during the COVID-19 pandemic. We show that Islamic equity funds demonstrated differentials in risk-adjusted performance, investment styles, and volatility timing compared to their conventional counterparts. Specifically, the results revealed that Islamic equity funds are more resilient to COVID-19 shock since they outperformed non-Islamic peers during the peak months of the pandemic. The trend continues even when the spread smoothens. These findings confirm the safe-haven properties of Islamic equity funds, which is helpful for investors aiming to hedge pandemic risks. The style analysis reveals investment drift from riskier styles to more prudent options in response to each stage's uncertainties. The results suggest policymakers should further investigate Islamic financial assets and their underlying principles to improve the resilience of economic systems in any future black swan events
Renovation of Proteus Eretes: Towards nearly zero energy building with high indoor comfort
One of the major risks to our planet today is climate change, which is a problem that worries people all over the world. There is a rise in global temperature levels and greenhouse gas emissions. The building industry has a huge share in this aspect. The current built environment accounts for almost 40% of energy consumption and 36% of CO2 emissions in the Netherlands. Therefore, to meet national energy efficiency and greenhouse gas emission targets, the energy performance of existing buildings is critical. In existing buildings, the challenge is threefold when it comes to refurbishment. Occupant behaviour towards indoor environment and energy usage behaviour. Secondly, the labour required for technical changes and lastly the financial limitations. Therefore, it is important to design or redesign buildings with the aim to provide good indoor quality using energy-efficient building elements which are simple, adaptable, sustainable, and affordable. The study explored in this graduation focuses on the renovation of Proteus Eretes rowing accommodation using integrated climate design strategies. The report highlights the need of occupants and their interaction with the indoor environment. The proposal is a combination of key solutions that can make a huge impact on energy savings and comfort conditions in the rowing facility. This research by design methodology aims to bridge the gap between energy neutrality and occupant comfort in buildings.Climate Design Graduation StudioArchitecture, Urbanism and Building Science
THE IMPACT OF SOCIOECONOMIC STATUS ON STUDENTS' ACADEMIC ACHIEVEMENT
Abstract: The objective of this research was to investigate how a student's socioeconomic status impacts their academic performance. A descriptive survey method was used to conduct the study on all elementary level public sector students in district Mansehra. A two-stage random sampling technique was applied to select the sample. To determine the socioeconomic status of the students, a questionnaire was designed, while a test consisting of 40 multiple-choice questions on Math and English was used to measure their academic achievement. Reliability of the instrument was measured using Cronbach's alpha, resulting in a value of 0.85 for the questionnaire and 0.83 for the test. Mean, percentage, and frequency were used for data analysis. The study concluded that students from families with average financial status performed better academically than those from below-average financial status families. Additionally, students whose parents had higher levels of education scored higher on average compared to those whose parents had lower levels of education. These findings demonstrate the importance of socioeconomic status and parental education in predicting academic success and the need for targeted interventions to address disparities in educational outcomes among students from diverse socioeconomic backgrounds.
Keywords: Socioeconomic Status, Academic Achievement.
Title: THE IMPACT OF SOCIOECONOMIC STATUS ON STUDENTS’ ACADEMIC ACHIEVEMENT
Author: Aashiq, Irum Zeb, Zhang Yan, Tahir, Anam Nazneen
International Journal of Novel Research in Education and Learning
ISSN 2394-9686
Vol. 10, Issue 4, July 2023 - August 2023
Page No: 39-46
Novelty Journals
Website: www.noveltyjournals.com
Published Date: 20-July-2023
DOI: https://doi.org/10.5281/zenodo.8167782
Paper Download Link (Source)
https://www.noveltyjournals.com/upload/paper/THE%20IMPACT%20OF%20SOCIOECONOMIC-20072023-3.pdfInternational Journal of Novel Research in Education and Learning, ISSN 2394-9686, Novelty Journals, Website: www.noveltyjournals.co
Requirements Dependencies-Based Test Case Prioritization for Extra-Functional Properties
The use of requirements’ information in testing is a well-recognized practice in the software development life cycle. Literature reveals that existing tests prioritization and selection approaches neglected vital factors affecting tests priorities, like interdependencies between requirement specifications. We believe that models may play a positive role in specifying these inter-dependencies and prioritizing tests based on these inter-dependencies. However, till date, few studies can be found that make use of requirements inter-dependencies for test case prioritization. This paper uses a meta-model to aid modeling requirements, their related tests, and inter-dependencies between them. The instance of this meta-model is then processed by our modified PageRank algorithm to prioritize the requirements. The requirement priorities are then propagated to related test cases in the test model and test cases are selected based on coverage of extra-functional properties. We have demonstrated the applicability of our proposed approach on a small example case.</p
Communication Patterns of Kanban Teams and their Impact on Iteration Performance and Quality
Software development industry is growing rapidly and so are the time and budget constraints getting stringent. After Scrum, the widely adopted agile method, agile practitioners are now shifting towards Kanban due to its effective communication facilitation, transparency and limited work in progress traits. Since, the industry is in transition from scrum to Kanban therefore we don’t find many empirical studies yielding results of adopting Kanban. Therefore, in this study we aim to explore more on Kanban teams. Mainly, we aim to find the impact of Kanban team’s communication patterns on their iteration performance and quality. The findings revealed that the centralization communication patterns have negative impact on iteration performance and quality of a project. However, small world communication pattern has positive impact on iteration performance and quality of a project.</p
An Empirical Evaluation of Requirements Prioritization Techniques
In today’s time and budget intensive software development market, quick delivery is the basic motive of teams. Software development teams strive to gain customer satisfaction by all possible means. Requirements prioritization is the most challenging customer input dependent task in the software development life cycle that decides the fate of a project. Selection of a well-suited requirements prioritization technique may result in customer satisfaction and on time delivery time. Literature reports on many requirements prioritization techniques in practice. However, each has its own features that can outperform the rest for a certain case. Therefore, this research is conducted to empirically evaluate the existing techniques in terms of certain quality measures (i.e., accuracy, efficiency, and scalability). The selected techniques are evaluated for the small, medium and large scale of requirements sets. For that, we selected five existing techniques that are multi-criteria-decision-making techniques and have user involvement (i.e., Analytical Hieratical Process (AHP), Analytical Network Process (ANP), FuzzyAHP, FuzzyANP and Interactive Genetic Algorithm (IGA)). The experimental results showed that among the five selected techniques, FuzzyAHP is the most efficient and accurate technique for the large dataset of requirements
Security-Based Safety Hazard Analysis Using FMEA: A DAM Case Study
Safety and security emerge to be the most significant features of a Cyber-Physical System (CPS). Safety and security of a system are interlaced concepts and have mutual impact on each other. In the last decade, there are many cases where security breach resulted in safety hazards. There have been very few studies in the literature that address the integrated safety security risk assessment. Since, the need of the time is to consider both safety and security concurrently not even consequently. To close this gap, we aim to: (i) perform hazard analysis using Failure Mode Effect Analysis (FMEA) of a cyber physical system case i.e., Dam case study, and (ii) perform risk identification, risk analysis and mitigation for the said case. As a result, we extracted the potential failure modes, failure causes, failure effects, and the risk priority number. In addition, we also identified the safety requirements for the modes of the subject.</p
Hba1c Levels an Indicator of Glycemic Control in Diabetics With and Without Retinopathy
Introduction: Diabetic retinopathy is a main cause of vision impairment and blindness due to uncontrolled diabetes. In Pakistan uncontrolled iabetes is on rise and one of the leading causes of preventable blindness.
Aims &Objectives: To determine HbA1c levels as an indicator of glycemic control in diabetics with and without retinopathy.
Place and duration of study: Department of Ophthalmology, Shaikh Zayed Hospital Lahore from -1st March 2020 to 30th April 2021.
Material &Methods: It is a comparative cross-sectional design in which one hundred and sixty diabetic retinopathy patients (group A) were compared with one hundred and sixty patients with no diabetic retinopathy (group B). Both groups were conveniently enrolled and their complete demographic, clinical, biochemical land fundoscopic data was documented on self -constructed, structured pro-form and analyzed on SPSS version 24, P-value<0.05 was taken as significant.
Results: The mean age in diabetic retinopathy group (group A) was 52±5.6 SD years with 50% (80/160) females. In no diabetic retinopathy group (group B) the mean age was 43±3.7 SD with 50.60% females (81/160). Age-wise difference between both groups was significant with p-value 55 years (Table -1).
In group A inadequate glycemic control (HbA1c=7.1-9) was found in 37.5% (60/160) while poor glycemic control (HbA1C >9) was found in 56.8% (91/160). In group B inadequate glycemic control was found in 23.75% (38/160) and poor glycemic control was found in 39.3% (63/160). There is a significant difference (p<0.05) in glycemic control among diabetics with and without retinopathy.
Conclusion: Deranged HbAIc Levels representative of overall fasting and post prandial poor glycemic control over 3 months were found to be significantly high in diabetic retinopathy patients as compared to diabetics without retinopathy enabling the physician to label these patients at high risk of retinopath
Internet-based digitalmarketing strategies fordata-rich environments
Purpose
The purpose of this paper is to first bring to light the essential digital strategies to study organizations. Second, how businesses can improve their strategic capabilities by using the information gathered from internet sources or networks. Third, this study investigates how employees in an organization tend to engage in positive and/or negative gossip and how gossips affect coworker-rated informal influence in organization and supervisor-rated performance. Social network analysis is used to find the underlying relationships between gossips, coworker-rated influence and supervisor-rated performance.
Design/methodology/approach
This research paper is divided into two parts. The first study based on profound synthesis of literature. Major digital sources to study organizations are identified. The strategies requirement for each channel is identified. Suggestions are given to managers to improve strategic decision-making based on big data. The second study is a cross-sectional study where questionnaires (survey) are used to elicit data. Social network analysis is used to analyze the data using ucinet 6 software.
Findings
The findings of the study pinpoint the skills required to analyze large data, available in organizations. The second study finds out that close friends are more engaged in gossips than coworkers who have only working relationships. The friends having high structural embeddedness are more likely to be involved in negative gossips. Coworker perceives those employees who are engaged in negative gossips as having high informal influence. However, there is negative relationship between negative gossips and supervisor-rated influence.
Research limitations/implications
The research study is cross-sectional in design; however, longitudinal design can be used to gain more insights about negative gossips and their effects. Second, a very small sample is used in this study.
Practical implications
This study can be used to understand informal communication network in the organization. Managers can use this channel to pass information quickly, as informal channels are faster than formal communication channels. This research can be used to understand the underling relationships between the coworkers in organizations
Originality/value
This paper provides guidelines to organizational life and information on how the informal networks within organization can be studied.
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A Hybrid Security Mechanism for Intra-WBAN and Inter-WBAN Communications
The emerging wireless body area networks (WBANs) have a great potential for the growth and development of future ubiquitous healthcare systems. However, due to the use of unreliable wireless media, WBANs are exposed to a variety of attacks. The prevention of these attacks depends upon the cryptographic techniques. The strength of cryptography is based on the keys used for encryption and decryption in the communication process. Security is still an alarming challenge for WBANs and needs attention of the research community. The proposed work introduces a hybrid key management scheme for both intra-WBAN and inter-WBAN communications. The proposed technique is based on preloaded keys as well as keys automatically generated from biometrics of the human body. The biometric-based calculations are of linear time complexity to cater the strict resource constraints and security requirements of WBANs. The proposed security mechanism provides an efficient solution for the security of both intra-WBAN and inter-WBAN communications. The results of the proposed technique are compared with an existing key management technique known as BARI+. The results show significant improvement over the results produced by BARI+ in terms of storage, communication, energy overhead, and security
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