Financial Risk and Foreign Direct Investment: Evidence from Pakistan Economy

The purpose of this paper is to inspect whether Financial risk influence FDI in Pakistan economy. In order to achieve the study objective and to answer the question, the Unit root test, Co integration test, OLS methodology and Granger causality test has been used. Time series data for the year 1982 to 2011 is used and this study measures the financial risk by considering foreign debt services, exchange rate, foreign debt and current account. The study results signify that efficient use of foreign debt can attract more foreign direct investment in the country. The paper shows that financial risk has significant impact on foreign direct investment

Financial Risk and Foreign Direct Investment: Evidence from Pakistan Economy

The purpose of this paper is to inspect whether Financial risk influence FDI in Pakistan economy. In order to achieve the study objective and to answer the question, the Unit root test, Co integration test, OLS methodology and Granger causality test has been used. Time series data for the year 1982 to 2011 is used and this study measures the financial risk by considering foreign debt services, exchange rate, foreign debt and current account. The study results signify that efficient use of foreign debt can attract more foreign direct investment in the country. The paper shows that financial risk has significant impact on foreign direct investment

The descriptive study of anxiety levels among diabetics: insulin users versus non-insulin users

Background: Anxiety is an emotion characterized by an unpleasant state of turmoil often accompanied by nervous behaviours such as pacing back and forth, somatic complaints and rumination. Diabetes is the most metabolically active disease which can influence the psychological state. This study evaluates the anxiety levels among diabetics (Insulin users versus non-insulin users) along with its relation to certain demographic factors like age, sex, education, type of medication and medication compliance.Methods: Hamilton anxiety rating scale (HAM-A) was used to test the anxiety levels in 187 diabetic patients visiting the diabetic clinic and research centre, Nishtar Hospital, Multan and other diabetic clinics in the area. 97 (51.87%) patients of the total sample are males and 90 (48.12%) patients are females.Results: In this study, 170 (91%) had type 2 diabetes while 17 (9%) suffered from Type 1 Diabetes. 66.66% of the patients in the sample were insulin users while 34.34% were non-insulin users. The overall mean anxiety level in insulin users is 24.55 and in non-insulin users is 23.92.Conclusions: Our study showed a high prevalence of anxiety levels in insulin users as compared to non-insulin users. Certain symptoms like anxious mood, tension, fears, depressed mood, cardiovascular and gastrointestinal symptoms appeared with mild anxiety levels while other symptoms like insomnia, somatic symptoms, autonomic symptoms, respiratory and genitourinary symptoms appeared with high severity levels. The presence of risk factors for anxiety among patients of diabetes predicts a causal relationship and deserves attention from clinicians

The descriptive study of imposter syndrome in medical students

Background: Imposter syndrome is characterized by chronic feelings of self-doubt and fear of being discovered as an intellectual fraud. Despite evidence of abilities, those suffering from imposter syndrome are unable to internalize a sense of accomplishment, competence, or skill. Overall, they believe themselves to be less intelligent and competent than others perceive them to be. IS has several potential implications for medical education. The current study was designed to find out the frequency of imposter syndrome among medical students college so that certain measures must be taken to improve the teaching and learning methodologies as well as the curriculum.Methods: A cross-sectional, psycho-social analysis was conducted from March to July, 2018 at Nishtar Medical College, Multan after taking informed consent from the students. Clance Imposter Phenomenon Sclae (CIPS) was used to assess the prevalence and degree of severity of Imposter syndrome among medical chosen on basis of random sampling. The data collected was entered and analysed on SPSS v.20.Results: Two hundred (200) students were selected for the study and were asked to return the completed 20 items questionnaire. One hundred and eighty-nine (189) students returned the questionnaires, so the response rate was 94.5%. Out of 189 students, 121(64.36%) were males and 68(35.97%) were females. According to Clance imposter phenomenon scoring, of the total 189 students the severity of imposter syndrome is as follows: mild, 5(2.64%), moderate,72(38.09%), severe,103(54.49%) and very severe, 09(4.76%). Moreover, third year students were found to have high prevalence and degree of severity of imposter syndrome.Conclusions: Imposter phenomenon exists in a significant percentage of medical students and appears to peak in the third year of medical school. Both genders are at equal risk of having imposter syndrome. It is associated with various psychological illnesses. Further discussion regarding medical education paradigms in light of high levels of imposter phenomenon is needed

Insomnia among medical students: a cross-sectional study

Background: Insomnia, the most common sleep disorder, is the perception or complaint of inadequate or poor-quality sleep because of one or more of the following conditions: difficulty in falling asleep, frequent waking up during the night with difficulty for returning to sleep, waking up too early in the morning, or unrefreshing sleep. It is the most common sleep related complaint reported in the primary care setting. Medical students are specially at risk of developing insomnia and its consequences. This study evaluates the prevalence and severity of insomnia in medical students in relation to certain socio-demographic factors like age, sex and class of education.Methods: A questionnaire based study was done on 135 medical students of Nishtar Medical University, Multan chosen on basis of random sampling to test the prevalence of insomnia using Athens Insomnia Scale (AIS). Out of these students 75 were males and 60 were females. Students were interviewed to obtain information about age, sex and academic year of education.Results: According to Athens insomniac scale scoring, 55 (40.74%) students were found insomniac while 80 (59.25%) were non-insomniac. Out of 55 insomniac students, 23 (41.81%) were males while 32 (58.18%) were females. Likewise, out of 80 non-insomniac students, 52 (65%) were males while 28 (35%) were females. The prevalence of insomnia in medical students was found to be increased with the increasing age. It was found that the females have more insomnia prevalence as well as more severe signs and symptoms of insomnia. Moreover, final year students tend to show more prevalence and severity of insomnia than their juniors.Conclusions: According to this study, 2 out of every 5 students were insomniac. Demographic comparison showed that the prevalence and severity of insomnia was more in females and final year students. Also, it was increasing side by side with increasing age

Numerical investigation of photo-generated carrier recombination dynamics on the device characteristics for the perovskite/carbon nitride absorber-layer solar cell

The nitrogenated holey two-dimensional carbon nitride (C2N) has been efficaciously utilized in the fabrication of transistors, sensors, and batteries in recent years, but lacks application in the photovoltaic industry. The C2N possesses favorable optoelectronic properties. To investigate its potential feasibility for solar cells (as either an absorber layer/interface layer), we foremost detailed the numerical modeling of the double-absorber-layer-methyl ammonium lead iodide (CH3NH3PbI3)-carbon nitride (C2N) layer solar cell and subsequently provided in-depth insight into the active-layerassociated recombination losses limiting the efficiency (eta) of the solar cell. Under the recombination kinetics phenomena, we explored the influence of radiative recombination, Auger recombination, Shockley Read Hall recombination, the energy distribution of defects, Band Tail recombination (Hoping Model), Gaussian distribution, and metastable defect states, including single-donor (0/+), single-acceptor (-/0), double-donor (0/+/2+), double-acceptor (2/ - /0-), and the interface-layer defects on the output characteristics of the solar cell. Setting the defect (or trap) density to 10(15) cm(-3) with a uniform energy distribution of defects for all layers, we achieved an 11 of 24.16%. A con- siderable enhancement in power-conversion efficiency (eta similar to 27%) was perceived as we reduced the trap density to 10(14) cm(-3) for the absorber layers. Furthermore, it was observed that, for the absorber layer with double-donor defect states, the active layer should be carefully synthesized to reduce crystal-order defects to keep the total defect density as low as 10(17) cm(-3) to achieve efficient device characteristics.Web of Science1222art. no. 401

Advanced Deep Learning-Based Predictive Modelling for Analyzing Trends and Performance Metrics in Stock Market

Objective: This study's main goal is to investigate how deep learning approaches may be used to analyze stock market performance. The complex patterns and nonlinear interactions present in stock market data may be difficult to completely capture using traditional approaches, which are mostly based on statistical models. Methodology: Our work uses a large dataset of historical stock prices, macroeconomic indices, and other crucial financial factors to address this. Simple Moving Averages (SMA) are one of the feature engineering approaches that are used to combine fundamental and technical indicators. To capture the temporal dynamics of the stock market, the study goes further into a variety of deep learning architectures, including as long short-term memory (LSTM) networks, convolutional neural networks (CNNs), and recurrent neural networks (RNNs). Findings: The results show that thorough feature engineering combined with deep learning approaches may effectively capture the complexity of the stock market and provide forecasts that are more accurate. Implications: This highlights how deep learning may revolutionize financial market research and points to a paradigm change toward more trustworthy instruments for investors and decision-makers

Exploring Influencing Factors in the Utilization and Integration of Evidence-Based Practice in Nursing

Abstract Background: Evidence-based practice (EBP) is the foundation for providing high-quality, patient-centered care. Objective: This study aims to explore influencing factors in the utilization and integration of evidence-based practice in nursing. Methodology: This research adopted a cross-sectional, descriptive study design to investigate utilizing and integrating EBP in nursing at a tertiary care hospital in Karachi from June to August 2023. A total of 100 participants were recruited through the convenient sampling technique. Result: The study reveals essential barriers nurses face when using research in their practice. Some struggle to access research materials (21%), find research lacks clear practical use (19%), and have difficulty understanding statistical analyses (24%). For others, research doesn't seem relevant (24%), and they may not even be aware of available research (25%). Limited facilities (23%) and time (26%) further hinder research use. Generalizability concerns (29%) and a perceived lack of authority (36%) to implement changes based on research are common. Uncertainty about the benefits (21%) and credibility issues also affect research adoption, along with variable support from colleagues, physicians, and administrators (26% to 30%). These findings highlight diverse challenges in integrating research into nursing practice, necessitating strategies to overcome these obstacles and promote evidence-based care. Conclusion: The study identifies vital obstacles nurses encounter when incorporating research into their practice, including limited access to materials, uncertainty about practical implications, challenges grasping statistical analyses, and doubts about credibility. Time constraints, organizational factors, and perceived personal benefits contribute to the hurdles. Improving access, offering training, nurturing an evidence-based culture, and creating supportive environments are vital to address these issues. Promoting mentorship and emphasizing research's value can channel the breach among research and nursing training, ultimately benefiting patient care and outcomes

Gastric varices amongst patients with upper gastrointestinal bleeding: A single centre cross sectional study

Background: The term "upper gastrointestinal bleeding" refers to bleeding from the gastrointestinal system that occurs above the Treitz ligament. It is one of the gastroenterological problems that is seen most often in clinical settings by gastroenterologists. Objective: To assess the frequency of gastric Varices amongst patients with upper gastrointestinal bleeding. Methodology: Our study was descriptive-cross sectional study, carried out at the Gastroenterology Department…….hospital Peshawar for duration of six months from August 2022 to January 2023. A careful upper-gastrointestinal endoscopy was carried out. Endoscopic findings of gastric varices in patients were recorded on a designed proforma for our research. All the documented data was analyzed by using 23. Results: In our current study a total of 120 patients were included. The male were 67 (55.83%) whereas female patients were 53 (44.17%). The mean age (SD) was 36 (9.11) years. The overall frequency of gastric varices amongst patients with gastrointestinal bleeding was 24 (20%). Conclusion: Our study concludes that frequency of gastric varices amongst patients with upper-gastrointestinal bleeding is very high. Multiple centre studies with large sample size should be conducted to get better results