111 research outputs found
A Stylistic Analysis of William Henry Davies’ Leisure
This paper aims to analyze William Henry Davies’ poem Leisure from the perspective of stylistic analysis. The analysis made under the level of graphological, syntactical, semantic and phonological patterns. This analysis is helpful in understanding the basic concept of poem that how modern man has made himself the slave of worldly pursuits, ignoring the beautiful objects of nature and making his life miserable. Keywords: Style, Stylistics, Leisure, Phonological level, Graphological level, Morphological level, Lexico-syntactical leve
Socio-Cultural Challenges to Women’s Political Participation in Makran, Balochistan
This research paper explores the socio-cultural challenges to women's political participation in Makran division of Balochistan, Pakistan. The study uses a comprehensive literature review and a sample survey to identify the barriers that hinder women's political participation, including cultural and societal norms. The study uses randomly selected primary data of 310 respondents using semi-structured Questionnaire. The findings of this research elucidated that there are significant social and cultural challenges to women’s political participation in Makran region. As a consequence, women have a weak position in the political setup. The findings have significant implications for policymakers, civil society organizations, and advocates working towards promoting gender equality and inclusive political systems that reflect the diversity and interests of all citizens
Nonlinear control of two-stage single-phase standalone photovoltaic system
This paper presents a single-phase Photovoltaic (PV) inverter with its superior and robust control in a standalone mode. Initially, modeling and layout of the Buck-Boost DC-DC converter by adopting a non-linear Robust Integral Back-stepping controller (RIBSC) is provided. The controller makes use of a reference voltage generated through the regression plane so that the operating point corresponding to the maximum power point (MPP) could be achieved through the converter under changing climatic conditions. The other main purpose of the Buck-Boost converter is to act like a transformer and produce an increased voltage at the inverter input whenever desired. By not using a transformer makes the circuit size more compact and cost-effective. The proposed RIBSC is applied to an H-bridge inverter with an LC filter to produce the sinusoidal wave in the presence of variations in the output to minimize the difference between the output voltage and the reference voltage. Lyapunov stability criterion has been used to verify the stability and finite-time convergence of the overall system. The overall system is simulated in MATLAB/Simulink to test the system performance with different loads, varying climatic conditions and inverter reference voltages. The proposed methodology is compared with a back-stepping controller and Proportional Integral Derivative (PID) controller under rapidly varying climatic conditions. Results demonstrated that the proposed technique yielded a tracking time of 0.01s, a total harmonic distortion of 9.71% and a root means square error of 0.3998 in the case of resistive load thus showing superior control performance compared to the state-of-the-art control techniques
A Finite-Time Robust Distributed Cooperative Secondary Control Protocol for Droop-Based Islanded AC Microgrids
In this research work, a resilient finite-time consensus-based distributed secondary control protocol is presented for droop-based distributed generating (DG) units of an islanded AC microgrid (MG). Through a multi-agent control structure, the DG units of the microgrid adjust their active power outputs so that they reach an agreed-upon value in a finite time. Concurrently, all the DG units are forced to operate with their frequencies regulated to the reference MG frequency in a finite time, despite time-varying load perturbations. Each DG unit is provided with a hierarchical control architecture, where the primary control is achieved using the droop control method, while the secondary control is established through the proposed distributed control protocol. The communication between DG units takes place over a sparse communication network. The proposed control protocol is robust to both small and sufficiently large communication latencies and it supports the plug-and-play feature of DG units. Different time-domain-based numerical simulations are carried out on a small as well as large microgrid testbenches in Matlab/Simulink and demonstrate the correctness and effectiveness of the proposed distributed control protocol. A comparative study is also presented with the existing distributed control protocol, and it is found that the proposed strategy is superior in its performance
Self-medication with antibiotics among non-medical university students of Karachi: a cross-sectional study
Background: The prevalence of self -medication with antibiotics is quite high in developing countries as opposed to developed countries. Antibiotics are often taken erroneously for certain ailments, without having the appropriate knowledge of their use. This carries potential risks for the individual as well as the community, in form of several side effects such as antibiotic resistance. Therefore the prevalence of self-medicated antibiotics in developing countries needs to be studied.Methods: A descriptive cross-sectional study was carried out at six different non-medical universities of Karachi. 431 students were included in the study. Data was collected using self-administered questionnaires and analyzed using SPSS version 19.Results: 50.1% students reported having self-medicated themselves in the past 6months and 205 (47.6%) reported self-medication with antibiotics. Amoxicillin was the most self-prescribed antibiotic (41.4%). Awareness of the adverse effects of antibiotics was demonstrated by 77.3% of the students and sleep disturbance was the most commonly known (46.5%) side effect. 63.1% denied having any knowledge about antibiotic resistance and only 19.9% correctly knew that indiscriminate use of antibiotics can lead to increased antibiotic resistance.CONCLUSION: The prevalence of self-medication with antibiotics among the non-medical university students was high despite the awareness of adverse effects. Antibiotic resistance was a relatively unknown terminology
The Impact of the COVID-19 Pandemic on Pregnant Women with Perinatal Anxiety Symptoms in Pakistan: A Qualitative Study
The impact of coronavirus disease 2019 (COVID-19) on people with existing mental health conditions is likely to be high. We explored the consequences of the pandemic on women of lower socioeconomic status with prenatal anxiety symptoms living in urban Rawalpindi, Pakistan. This qualitative study was embedded within an ongoing randomized controlled trial of psychosocial intervention for prenatal anxiety at a public hospital in Rawalpindi. The participants were women with symptoms of anxiety who had received or were receiving the intervention. In total, 27 interviews were conducted; 13 women were in their third trimester of pregnancy, and 14 were in their postnatal period. The data were collected through in-depth interviews and analyzed using framework analysis. Key findings were that during the pandemic, women experienced increased perinatal anxiety that was linked to greater financial problems, uncertainties over availability of appropriate obstetric healthcare, and a lack of trust in health professionals. Women experienced increased levels of fear for their own and their baby’s health and safety, especially due to fear of infection. COVID-19 appears to have contributed to symptoms of anxiety in women already predisposed to anxiety in the prenatal period. Efforts to address women’s heightened anxiety due to the pandemic are likely to have public health benefits.</jats:p
Cultural adaptation and psychometric validation of the Pregnancy Experience Scale-Brief version (PES-Brief) in Pakistani women with antenatal anxiety symptoms.
BackgroundPregnancy experiences influence fetal and birth outcomes. There is scarcity of locally validated tools to assess pregnancy experiences. We aimed to validate the Pregnancy Experience Scale-Brief (PES-Brief) in pregnant Pakistani women with anxiety symptoms.MethodsA two-step process was used including 1) adaptation via translation/back-translation followed by cognitive interviewing with 10 participants and 2) factor analysis and validation with 605 women in Rawalpindi Pakistan who had mild-moderate symptoms of anxiety, attended the antenatal clinic, and were ≤22 weeks of gestation and ≥18 years old. We calculated internal consistency and reliability and conducted exploratory and confirmatory factor analyses.ResultsCultural adaptation led to inclusion of one item of the hassles subscale and exclusion of one item in the uplifts subscale, resulting in 9 uplifts and 11 hassles. Exploratory factor analysis supported a two-factor structure, with the adapted items exhibiting loading values of ≥0.24 for their respective factors. Internal consistency was demonstrated for uplifts (Cronbach's alpha = 0.89) and hassles (Cronbach's alpha = 0.85) subscales. Uplift intensity was moderately correlated with the Hospital Anxiety and Depression Scale anxiety subscale (r = 0.54, 95% CI:0.30-0.77).ConclusionThe Urdu PES-Brief is a reliable and valid tool for use in Pakistani pregnant women with antenatal anxiety. Future studies on its validity are needed on women without symptoms anxiety
Orbital dermatofibrosarcoma protuberans with intracranial extension preceded by recurrent leiomyoma of the orbit: a case report
ANN Based Short Term Load Forecasting Paradigms for WAPDA Pakistan
Abstract: This paper discusses a comprehensive approach for Short Term Load Forecasting (STLF) for Water and Power Development Authority (WAPDA), Pakistan. Keeping in view, non-linear power systems load characteristics; two different Artificial Neural Network (ANN) based architectures have been devised for STLF. Proposed architectures were trained and tested using previous five years actual load data obtained from WAPDA i.e., year 1991-95. Several back propagation based training algorithms were applied to both architectures. Data engineering approach was applied for thorough comparison and identification of the most appropriate approach that yields accurate forecast
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