Resilience of the Genus Agaricus to Climatic Variability in and around Ayubia National Park, Pakistan

The environment is being altered very quickly with the passage of time. No doubt human activities have a main role in the enhancement of certain environmental issues and these problems are affecting the natural biomes and the ecosystem world over. The biodiversity has to face these cascading problems and have to compete for their natural habitat. These environmental threats have pushed unique biodiversity at the edge of the extinction. The present study was focused to examine these issues for the members of genus Agaricus

Stock prices’ variability around earnings announcement dates at Karachi Stock Exchange

The purpose of this study is to investigate how earnings announcement event affects stock returns at Karachi Stock Exchange (KSE). For this purpose we use the KSE-100 Index as our sample. We use the CAR Analysis to analyze the impact of earnings announcement over the stock returns around announcement dates. Our results suggest that KSE experiences abnormal stock returns around earnings announcement dates for the overall market and for different categories which indicate that efficient market hypothesis does not hold in Pakistani market and point out the presence of informational dissemination inefficiencies in the marke

ECONOMIC VALUE ADDITION IMPLICATIONS: A STUDY OF THE PAKISTANI BANKING INDUSTRY

Human beings are mostly concerned about value additionin almost every aspect of life. Does this reality prove accurate insecondary markets investment? This empirical study deals with theEconomic Value Addition of major seventeen banks of Pakistanincluding national and public limited banks. In this research, ROE,ROCE, and OCF are taken as parameters of profitability whilemarketability parameters are PE and MB ratio. Two sample t-testsshow that a new banks value creation is more in comparison withold banks in the context of EVA. Private and Government bank arenot significantly different in EVA. Fixed effect modeling and Clusterestimation infer that Profitability parameters positively impact EVA.Marketability parameter MB positively impacts EVA while PE ratiois statistically insignificant. Correlation analysis shows thatinvestors of the banking sector in Pakistan do not pay specialattention to EVA in their investment decisions

6G secure quantum communication: a success probability prediction model

© 2024 The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY), https://creativecommons.org/licenses/by/4.0/The emergence of 6G networks initiates significant transformations in the communication technology landscape. Yet, the melding of quantum computing (QC) with 6G networks although promising an array of benefits, particularly in secure communication. Adapting QC into 6G requires a rigorous focus on numerous critical variables. This study aims to identify key variables in secure quantum communication (SQC) in 6G and develop a model for predicting the success probability of 6G-SQC projects. We identified key 6G-SQC variables from existing literature to achieve these objectives and collected training data by conducting a questionnaire survey. We then analyzed these variables using an optimization model, i.e., Genetic Algorithm (GA), with two different prediction methods the Naïve Bayes Classifier (NBC) and Logistic Regression (LR). The results of success probability prediction models indicate that as the 6G-SQC matures, project success probability significantly increases, and costs are notably reduced. Furthermore, the best fitness rankings for each 6G-SQC project variable determined using NBC and LR indicated a strong positive correlation (rs = 0.895). The t-test results (t = 0.752, p = 0.502 > 0.05) show no significant differences between the rankings calculated using both prediction models (NBC and LR). The results reveal that the developed success probability prediction model, based on 15 identified 6G-SQC project variables, highlights the areas where practitioners need to focus more to facilitate the cost-effective and successful implementation of 6G-SQC projects.Peer reviewe

Ethical Aspects of ChatGPT in Software Engineering Research

ChatGPT can improve Software Engineering (SE) research practices by offering efficient, accessible information analysis and synthesis based on natural language interactions. However, ChatGPT could bring ethical challenges, encompassing plagiarism, privacy, data security, and the risk of generating biased or potentially detrimental data. This research aims to fill the given gap by elaborating on the key elements: motivators, demotivators, and ethical principles of using ChatGPT in SE research. To achieve this objective, we conducted a literature survey, identified the mentioned elements, and presented their relationships by developing a taxonomy. Further, the identified literature-based elements (motivators, demotivators, and ethical principles) were empirically evaluated by conducting a comprehensive questionnaire-based survey involving SE researchers. Additionally, we employed Interpretive Structure Modeling (ISM) approach to analyze the relationships between the ethical principles of using ChatGPT in SE research and develop a level based decision model. We further conducted a Cross-Impact Matrix Multiplication Applied to Classification (MICMAC) analysis to create a cluster-based decision model. These models aim to help SE researchers devise effective strategies for ethically integrating ChatGPT into SE research by following the identified principles through adopting the motivators and addressing the demotivators. The findings of this study will establish a benchmark for incorporating ChatGPT services in SE research with an emphasis on ethical considerations

Unsteady axisymmetric flow and heat transfer over time-dependent radially stretching sheet

AbstractThis article address the boundary layer flow and heat transfer of unsteady and incompressible viscous fluid over an unsteady stretching permeable surface. First of all modeled nonlinear partial differential equations are transformed to a system of ordinary differential equations by using similarity transformations. Analytic solution of the reduced problem is constructed by using homotopy analysis method (HAM). To validate the constructed series solution a numerical counterpart is developed using shooting algorithm based on Runge-Kutta method. Both schemes are in an excellent agreement. The effects of the pertinent parameters on the velocity and energy profile are shown graphically and examined in detail

A Technique for Better Energy Management of Single-Stage Topology of Stand-Alone Photovoltaic System

This paper proposes a technique for energy managing of a stand-alone photovoltaic system. The proposed system employs a power processing inverter, which contains high PV voltage at the input to mitigate the magnitude of AC signal at the output, eliminating use of DC-DC converter and reduces the input capacitor size of PV array. To meet the power requirement of load and to maintain the maximum power point operation of PV array, battery bank is utilized with a bi-directional converter. An impedance model of the complete system is executed. Based on the model, the control architecture is designed which works in four modes: 1)  if load demands >  MPP of PV, additional current is extracted from the battery; 2) if load demands <  MPP of PV array, extra current is given to the battery; 3) only load management is utilized since the battery bank is not available because of over-charging or under-charging; 4) if irradiation varies then first mode is used for load requirement. The technique is designed which guarantees the maximum power point tracking of PV system even without using any intermediate stage of DC-DC converter, hence making it single-stage, MPPT is achieved by effectively controlling bi-directional converter used for battery charging and discharging purpose. To ensure better utilization of dc voltage enhanced efficiency and low less harmonic distortion, sinusoidal PWM technique is used to drive the inverter. Simulation results are carried out for ensuring better energy management along with MPPT operation demonstrated under uniform operating conditions