Today, nurses are required to have knowledge and awareness concerning professional values as standards to provide safe and high-quality ethical care. Nurses’ perspective on professional values affects decision-making and patient care. Therefore, the present study aimed to investigate the importance of professional values from clinical nurses’ perspective. The present cross-sectional study was conducted in 2016 in four educational hospitals of Kerman University of Medical Sciences, Iran. Data were collected via the Persian version of Nursing Professional Values Scale-Revised by Weis and (...) Schank. Sampling was conducted through the use of stratified random sampling method and 250 clinical nurses participated in the study. Results indicated that the total score of the nurses’ professional values was high.. From nurses’ perspective items such as “Maintaining confidentiality of patients” and “Safeguarding patients’ right to privacy” had more importance; however, “Recognizing role of professional nursing associations in shaping healthcare policy” and “Participating in nursing research and/or implementing research findings appropriate to practice had less importance. A statistically significant relationship was observed between NPVS-R mean scores and nurses’ age, work experience as well as participation in professional ethical training. Although the total score related to the clinical nurses’ perspective on professional values was high, the importance of certain values was at a lower level. Owing to the emerging ethical challenges, it is indispensable to design educational programs in order to improve nurses’ awareness and understanding of the comprehensive importance of professional values. Furthermore, it is recommended that mixed methods studies should be conducted in order to design an instrument to evaluate the use of values in nursing practice. (shrink)

The 3D Prandtl fluid flow through a bidirectional extending surface is analytically investigated. Cattaneo–Christov fluid model is employed to govern the heat and mass flux during fluid motion. The Prandtl fluid motion is mathematically modeled using the law of conservations of mass, momentum, and energy. The set of coupled nonlinear PDEs is converted to ODEs by employing appropriate similarity relations. The system of coupled ODEs is analytically solved using the well-established mathematical technique of HAM. The impacts of various physical parameters (...) over the fluid state variables are investigated by displaying their corresponding plots. The augmenting Prandtl parameter enhances the fluid velocity and reduces the temperature and concentration of the fluid. The momentum boundary layer boosts while the thermal boundary layer mitigates with the rising elastic parameter strength. Furthermore, the enhancing thermal relaxation parameter ) reduces the temperature distribution, whereas the augmenting concentration parameter drops the strength of the concentration profile. The increasing Prandtl parameter declines the fluid temperature while the augmenting Schmidt number drops the fluid concentration. The comparison of the HAM technique with the numerical solution shows an excellent agreement and hence ascertains the accuracy of the applied analytical technique. This work finds applications in numerous fields involving the flow of non-Newtonian fluids. (shrink)

Mining social network data and developing user profile from unstructured and informal data are a challenging task. The proposed research builds user profile using Twitter data which is later helpful to provide the user with personalized recommendations. Publicly available tweets are fetched and classified and sentiments expressed in tweets are extracted and normalized. This research uses domain-specific seed list to classify tweets. Semantic and syntactic analysis on tweets is performed to minimize information loss during the process of tweets classification. After (...) precise classification and sentiment analysis, the system builds user interest-based profile by analyzing user’s post on Twitter to know about user interests. The proposed system was tested on a dataset of almost 1 million tweets and was able to classify up to 96% tweets accurately. (shrink)

The prime objective of this study is to discuss the economic impact of the COVID-19 crisis concerning Pakistan and globally across South Asian developing countries. It also demonstrates those economic indicators through which the economic performance of the countries is influenced considering the prospective global economic costs of COVID-19 under different scenarios. The study systematically reviewed the literature on historical pandemic crises and the most recent Covid-19 fallout economic disorder in South Asian countries. Considering the history of human civilization, there (...) are varied instances of severe epidemics that are caused by numerous viruses. It is observed that the prevailing outbreak of COVID-19 has eventually affected large scale manufacturing, service sectors and arose supply side constraint to an extent. On the contrary, GDP and consumption declined sharply. Furthermore, sudden loss of service sector jobs and the rise in food prices have created an economic crisis for developing countries of South Asia. The study attempts to discuss the policy responses given by the World Bank, International Monetary Fund, Asian Development Bank, The State Bank of Pakistan, and the Ministry of finance, Pakistan encountered due to the deteriorating international environment, fiscal stress, and difficulties in financial liquidity markets and provides relevant policies for the better prospect of Pakistan's economy after comparing it with other South Asian countries affected by this pandemic vulnerabilities. (shrink)

The regression model is generally utilized in several fields of study because of its applications. Regression is an extremely incredible approach; it builds up a connection between dependent and independent variables. We have addressed a powerful computational model by utilizing dengue information joined with fuzzy multiple linear regression. Information is accumulated on dengue fever through the survey. This paper is centered on the comparison of the crisp method with fuzzy multiple linear regression, and then, the utilization of a fuzzy multiple (...) regression method is explained after the comparison. We have used multiple regression and then converted the said technique into three fuzzy cases. The effectiveness of the fuzzy multiple regression model is measured by numerical computation and comparison of both techniques. 2020 Mathematics Subject Classification. Primary 30C45; 30C50; 30C80; Secondary 11B65, 47B38. (shrink)

Online gambling companies claim that they are ethical providers. They seem committed to corporate social responsibility (CSR) practices that are aimed at preventing or minimising the harm associated with their activities. Our empirical research employed a sample of 209 university student online gamblers, who took part in an online survey. Our findings suggest that the extent of online problem gambling is substantial and that it adversely impacts on the gambler's mental and physical health, social relationships and academic performance. Online problem (...) gambling seems to be related to the time spent on the Internet and gambling online, parental/peer gambling and binge drinking. As our findings show that there are harmful repercussions associated with online gambling, we argue that companies in this controversial sector cannot reach the higher level of CSR achieved by other industries. Nevertheless, they can gain legitimacy on the basis of their CSR engagement at a transactional level, and so, by meeting their legal and ethical commitments and behaving with transparency and fairness, the integrity of the company can be ensured. We also argue that current failures in the implementation and control of CSR policies, the reliance on revenue from problem gamblers' losses, and controversial marketing activities appear to constitute the main obstacles in the prevention or minimisation of harm related to online gambling. As online gambling companies must be responsible for the harm related to their activities, we suggest that CSR policies should be fully implemented, monitored and clearly reported; all forms of advertising should be reduced substantially; and unfair or misleading promotional techniques should be banned. The industry should not rely on revenue from problem gamblers, nor should their behaviour be reinforced by marketing activities (i.e. rewards). We realise, however, that it is unrealistic to expect the online gambling industry to prioritise harm prevention over revenue maximisation. Policy makers and regulators, therefore, would need to become involved if the actions suggested above are to be undertaken. CSR is paramount to minimise harm and provide a healthier user experience in this business sector, but it also poses marketing dilemmas. We support a global collaborative approach for the online gambling industry, as harm related to gambling is a public health issue. (shrink)

A personalized recommender system is broadly accepted as a helpful tool to handle the information overload issue while recommending a related piece of information. This work proposes a hybrid personalized recommender system based on affinity propagation, namely, APHPRS. Affinity propagation is a semisupervised machine learning algorithm used to cluster items based on similarities among them. In our approach, we first calculate the cluster quality and density and then combine their outputs to generate a new ranking score among clusters for the (...) personalized recommendation. In the first phase, user preferences are collected and normalized as items rating matrix. This generated matrix is then clustered offline using affinity propagation and kept in a database for future recommendations. In the second phase, online recommendations are generated by applying the offline model. Negative Euclidian similarity and the quality of clusters are used together to select the best clusters for recommendations. The proposed APHPRS system alleviates problems such as sparsity and cold-start problems. The use of affinity propagation and the hybrid recommendation technique used in the proposed approach helps in improving results against sparsity. Experiments reveal that the proposed APHPRS performs better than most of the existing recommender systems. (shrink)

BackgroundIn the Canadian Alliance for Healthy Hearts and Minds (CAHHM) cohort, participants underwent magnetic resonance imaging (MRI) of the brain, heart, and abdomen, that generated incidental findings (IFs). The approach to managing these unexpected results remain a complex issue. Our objectives were to describe the CAHHM policy for the management of IFs, to understand the impact of disclosing IFs to healthy research participants, and to reflect on the ethical obligations of researchers in future MRI studies.MethodsBetween 2013 and 2019, 8252 participants (...) (mean age 58 ± 9 years, 54% women) were recruited with a follow-up questionnaire administered to 909 participants (40% response rate) at 1-year. The CAHHM policy followed a restricted approach, whereby routine feedback on IFs was not provided. Only IFs of severe structural abnormalities were reported.ResultsSevere structural abnormalities occurred in 8.3% (95% confidence interval 7.7–8.9%) of participants, with the highest proportions found in the brain (4.2%) and abdomen (3.1%). The majority of participants (97%) informed of an IF reported no change in quality of life, with 3% of participants reporting that the knowledge of an IF negatively impacted their quality of life. Furthermore, 50% reported increased stress in learning about an IF, and in 95%, the discovery of an IF did not adversely impact his/her life insurance policy. Most participants (90%) would enrol in the study again and perceived the MRI scan to be beneficial, regardless of whether they were informed of IFs. While the implications of a restricted approach to IF management was perceived to be mostly positive, a degree of diagnostic misconception was present amongst participants, indicating the importance of a more thorough consent process to support participant autonomy.ConclusionThe management of IFs from research MRI scans remain a challenging issue, as participants may experience stress and a reduced quality of life when IFs are disclosed. The restricted approach to IF management in CAHHM demonstrated a fair fulfillment of the overarching ethical principles of respect for autonomy, concern for wellbeing, and justice. The approach outlined in the CAHHM policy may serve as a framework for future research studies.Clinical trial registrationhttps://clinicaltrials.gov/ct2/show/nct02220582. (shrink)

The losses in the radial distribution system are inevitable which needs to be minimized for the proper transmission of power to the end customers. This problem can be solved by the allocation of capacitor banks at proper locations with appropriate sizing. These allocations need an efficient approach for the performance enhancement of RDS. In this paper, several metaheuristic techniques such as particle swarm optimization, Harmony search, Bat, Cuckoo, and Grey-wolf algorithms are employed to find the size of capacitor banks. Loss (...) sensitivity analysis is considered for the indication of candidate buses where a capacitor has to be installed to reduce the total system losses and ultimately increase efficiency. Cost-effectiveness, power loss minimization, and voltage enhancement can be determined and compared for these 5 techniques and are implemented on the IEEE-34 bus system to illustrate the efficacy of each of them. The results show the advantages and drawbacks of the techniques separately. The simulations are carried out in MATLAB. (shrink)

This work presents a distributed generation system that combines system of a wind turbine and photovoltaic using a unified power quality conditioner. Along with providing active power to the utility grid, Wind-PV-UPQC improves PQ indicators, for example, voltage drops/surges, harmonics of grid voltages, and PF. Since Wind-PV-UPQC depends on dual compensation scheme, the parallel converter works as a sinusoidal voltage source, while the series converter works as a sinusoidal current source. In this way, a smooth transition from grid operation to (...) island operation and vice versa can be achieved without load voltage transitions. In addition, in order to overcome the problems through abrupt solar radiation or wind speed variations, a faster power balance is achieved between the wind turbines, the PV array, and the grid, as FFCL pursue the production of the current references of series converter. Consequently, the dynamic reactions of the converter currents and the voltage of dc bus are enhanced. A comprehensive analysis of flow of the AP through the converters is done to ensure a proper understanding of how Wind-PV-UPQC works. Finally, the simulation results are shown to estimate the dynamic and static performance of Wind-PV-UPQC in conjunction with the power distribution system. (shrink)