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Background: When it comes to protecting patients' rights and ensuring the quality of healthcare, medical ethics are of the utmost importance. Clinical specialists need a solid understanding of clinical morals to adhere to moral guidelines in the delivery of medical care. Objective: The study aims to determine, how well doctors in Lahore, Pakistan, are aware of medical ethics in health practices and their comprehension of healthcare ethical principles, guidelines, and decision-making processes knowledge and contribution. Methods: A cross-sectional review was conducted in Lahore with 350 health professionals from various medical services settings. The survey had unconditional and different decision inquiries to evaluate the comprehension specialists might interpret clinical morals using Medical Ethics Attitude Scale (MEAS). Results The findings of this analysis suggest that the opinions of medical professionals regarding how they adhere to medical ethics vary significantly. The professional respondents' mean score of 2.01 indicates a moderate level of agreement regarding medical ethics. To determine the significance of the differences in the assessment scores, an analysis of variance (ANOVA) was conducted. The ANOVA test resulted in an F-value of 69.87, indicating a highly significant association between the assessment scores and the variables related to knowledge of medical ethics practice.

Companies look up to influencers because they are seen as thought leaders who mediate between the company and its followers. This results in their taking on the role of brand ambassadors or spokespersons. They play a significant role in helping businesses develop what they call a "digital relationship" with their clientele by supplementing and amplifying more traditional forms of marketing. They see digital connection as crucial in the current business climate. This study examined the effects of influencer credibility, customer review, and customer interaction on consumers' intent to buy after seeing an endorsement from an influencer, with an emphasis on Purchase intention. The study's findings indicate that customer involvement is the most important factor in determining whether a consumer will follow through on a purchase intent prompted by an influencer. The credibility of influencers had a notably large impact on consumer engagement; however, trustworthiness was also a factor. Online shoppers place a high value on accessibility to information. Because they both include customers sharing their experience and appraisal of a product or service with other potential purchasers, customer reviews and influencer endorsements can be considered customer reviews. This research reveals that consumer reviews have little impact on consumers' propensity to make a purchase. Influencer endorsement, but not customer reviews, affects desire to buy premium goods. However, the role of customer reviews as a moderator between trustworthiness and desire to buy was not established in this research.

Introduction: The Sehat Insaf Card (SIC) scheme has the potential to improve access to healthcare services for low-income families in Pakistan, there are several challenges that healthcare professionals may face during its implementation. Objectives: This study aims to assess the workload, reimbursement rates, quality of care, and job satisfaction and burnout levels of healthcare professionals in private hospitals providing services under the Sehat Insaf Card scheme. The study's findings will provide insights into the effectiveness of the scheme and inform policymakers about healthcare workforce well-being. Methodology: The study utilized a cross-sectional survey design to collect data from private hospitals in Lahore, using a one-day survey and questionnaires to achieve a snapshot of the research problem at a societal level. A sample size of 200 was calculated and data were analyzed using SPSS. Regression analysis was done to calculate value significance of the analysis. Results: The study assessed the impact of Sehat Insaf Card on healthcare professionals in private hospitals. Results showed a significant impact on increased work and demand (mean score: 76.09, p-value: 0.0071), due to administrative requirements (mean score: 65.09, p-value: 0.0082), and insufficient reimbursement rates (mean score: 56.98, p-value: 0.0032).

Background and Aim: Escherichia coli was the most prevalent cause for urinary tract infections (UTIs). These bacteria also generate extended spectrum b-lactamases (ESBL), which inactivate penicillins and cephalosporins. The purpose of the current study is to determine the incidence of multidrug resistance and extended beta-lactamase expression in community-acquired urinary tract infection (UTIs) among patients of different age groups. Patients and Methods: This prospective cross-sectional study was conducted on 186 uropathogens investigated in the diagnostic center of Tertiary Care Hospital Peshawar from January 2022 to December 2022. Patients of either gender or any age with suspected UTIs associated with K. pneumoniae and E. coli were derived from urine specimen were enrolled. Identification and analysis of antimicrobial susceptibility was done using Disc diffusion method and Double Disc synergy test. SPSS version 27 was used for data analysis. Results: Of the total 186 Gram-negative uropathogens, there were 57 (30.6%) male and 129 (59.4%) female. The incidence of E. coli and K. pneumoniae was 138 (74.2%) and 48 (25.8%) respectively. The prevalence of uropathogens identified was in 71% females and 29% males.

This article seeks to explore how non/human drag has been utilized to perform queer of colour feelings, which result in a mess-making of identity-based relationalities. Rooted in a phenomenological exploration of the fursona, this queer narrative case study focuses on furry acts, or the act of creating and embodying a personalized fursona, as non/human drag that becomes a site for self-exploration and queer of colour becoming. In exploring furry acts, this study centres its focus on the material impacts of non/human drag performances and suggests that furry acts are improvised responses to queer of colour domestication. The non/human drag performances, as explored through furry Poppy’s narratives, are also considered feral practices that intentionally bewilder and disorder subject identification. With a focus on furry acts as messy, this study proposes that non/human drag performances are essential for Poppy in accessing queer of colour joy, pleasure and liveability.

Neurodevelopmental disorders (NDDs) are classified as a group of disorders affecting function and development of the brain and having wide clinical variability. Herein, we describe two affected individuals segregating a recessive NDD. The affected individuals exhibited phenotypes such as global developmental delay (GDD), intellectual disability (ID), microcephaly and speech delay. Whole-exome sequencing (WES) followed by bidirectional Sanger sequencing techniques identified a homozygous nonsense variant (c.466C T; p.Gln156*) in the PPFIBP1 gene (NM_003622.4) that segregated with the disease phenotype. Further, to elucidate the effect of the variant on protein structure, 3D protein modelling was performed for the mutant and normal protein that suggested substantial reduction of the mutant protein. Our data support the evidence that PPFIBP1 has a pivotal role in neurodevelopment in humans, and loss-of-function variants cause clinically variable neurodevelopmental phenotypes.

The COVID-19 brought chaos to the globe since the last one year and so, throwing the everyday routine into disarray and triggering the collapse of the global economy while resulting in more than 2 million fatalities. To prevent a pandemic, the whole globe combined their efforts to find a cure and help develop a vaccine. Vaccinations commenced in 2020, and some countries began their vaccination campaigns at the end of the year, while others waited eagerly for the vaccinations to be approved. In the rapidly changing Covid-19 situation, social media is full of a broad variety of both good and bad tales. Though, a number of people are interested in COVID vaccination, however, some are worried about the adverse effects and are still nervous over the dreadful ideas and after effects causing confusion. To assist the government in determining the public's reaction to the authorized COVID-19 vaccinations, it is crucial to ascertain the public's sentiments and views. In this study, the main objective is to check the response of Pakistani community about vaccination of COVID-19. Up till now, statistical analysis is performed, sentiment analysis, and basic machine learning based predictive analysis. Sentiment analysis is performed by using the machine learning and deep learning algorithms. In our research it is our finding that the neural network models CNN and LSTM models performs better than as compared to other Machine learning models like Naïve Bayes, Random Forest, Logistic Regression. Although our study also concluded that between Naïve Bayes, Random Forest and Logistic Regression. The Logistic Regression performs better on larger dataset. With the results of Naïve Bayes 63%, Random Forest 63% and Logistic Regression with 66%. While the accuracy of neural network models is CNN 81.1% and of LSTM is 81.3%. So, LSTM model is best to classify the tweets into their categories.

Patients with anti-glomerular basement membrane (anti-GBM) disease have Type IV collagen antigens in their glomerular and alveolar basement membranes. GN or alveolar bleeding develops quickly. Genetically vulnerable people may be activated by environmental factors. There isn't enough evidence to indicate a causal relationship between SARS- cov-2 and COVID-19. One in ten crescentic kidney disease patients has anti-GBM sickness. Early identification of circulating antibodies, increased awareness of rare and challenging clinical manifestations, and immunosuppressive and plasma exchange therapy have improved patients' prognoses. Anti-GBM disease is rare, but new medications and treatments are coming.

Globally hepatitis C virus is recognized as one of the basic health issues of liver and result in chronic liver diseases whose diagnosis is difficult and possible only with symptoms until it may leads to liver cancer. DNA damage along with lipids and protein oxidation is caused as result of oxidative stress in hepatitis patients. This work was carried out to search out the oxidation of protein and lipids per-oxidation with relative to DNA damage for hepatitis C patients. Sampling was done in 50 suspected patients among them 20 were positive for HCV, while 30 were negative. With the help of 2-4, dinitrophenyl hydrazine assay quantification of protein carbonyls was done and results showed much increased values than normal. Biochemical parameters of HCV such as complete blood count, triglycerides and cholesterol level were recorded. The results were significant in positive cases than the control group. The study elaborated a new window in the research of chronic HCV patients for severe biochemical parameters alterations, over oxidation of proteins and liver dysfunction. It was therefore concluded that oxidative stress was responsible for increased level of protein oxidation and altered biochemical parameters that leads to damage of liver

In this review an-overview is presented to study the effects of condensation, skimming and physio-chemical quality of buffalo milk. Skimming process had significant influences on chemical and sensory qualities of milk. Previous researchers discussed the remarkable changes in the physical and physio- chemical characteristics of condensed milk i.e. moisture, ash content and acidity, specific gravity of skimmed milk as compared to the whole milk. It has been also concluded from the different studies that the physical properties like, exterior, colour, flavour and body texture of milk were comparatively reduced by condensation and skimming and the density of skimmed milk appeared thinner and products achieved the variable score in different above mentioned physio-chemical properties. This review will discuss the effects of condensation and skimming on whole milk and their byproducts and their physical and physio- chemical properties in comparative aspects skimming and condensation whole milk.

Temperature is considerably an important and commonly used parameter to study characteristics of matter formed during high-energy nuclear collisions. Experimental data from JINR and UrQMD (latest code 3.3p2) models’ simulations have been used to estimate the temperature and other properties of negative pions in collisions of deuteron with carbon nuclei at an incident momentum of 4.2 GeV/c. Transverse mass and transverse momentum spectra have been used to get the temperature of said particles, with the help of some fittings. These fittings are referred to as Hagedorn Thermodynamic and Boltzmann Distribution functions. Such functions or equations are used to describe the particles spectra. Temperature of negative pions has been found to be equal to 98 ± 2 and 114 ± 2 MeV in experimental and model, respectively, using Hagedorn function. Results from both experimental and model calculations have also been compared with each other and thus most reliable fitting function has been suggested. It is found that Hagedorn Thermodynamic function is the most reliable function to get pions’ temperature in said collision system at given incident momentum. Similarly temperature obtained in this research has been compared with results from other experiments in the world and worthy conclusions have been reached and reported.

Ferula narthex Boiss., Apiaceae, is commonly used in Pakistan and India as spice and it is associated with diverse biological activities including antidiabetic and anti-inflammatory. Research has suggested that the genus Ferula is rich in sesquiterpene coumarins. During this project, both in vitro and in silico models were adopted to investigate its traditional use. Based on structural diversity, selected compounds isolated from the exudate were processed for molecular docking studies. The negative binding energies and close proximity to residues in the binding pocket of selected targets including human α-glucosidase (PDB ID 3TOP) and soybean LOX (PDB ID 1IK3) were recorded, which indicated high affinity and tight binding capacity of 10′-R-acetyl-karatavacinol and 10′-R-karatavacinol towards the active sites of α-glucosidase and 15-lipoxygenase. 10′-R-acetyl-karatavacinol exhibited the highest inhibition of α-glucosidase in vitro (IC50 0.05 mM), whereas in the 15-lipoxygenase inhibition assay, 10′-R-karatavacinol was most active (70%, at 0.023 mM final concentration). It was therefore concluded that 10′-R-acetyl-karatavacinol had the highest α-glucosidase inhibitory activity, whereas 10′-R-karatavacinol was a 15-lipoxygenase inhibitor with potentially anti-inflammatory properties.

This research examines critical elements of knowledge management and industry 4.0 that assist human resources in the air transport industry. In addition, we look at the essential components that connect the divide between Industry 4.0 and knowledge management. This paper uses the Grey- DEMATEL technique to comprehend the cause-and-effect factors and their interrelationships. A seven-scale ranking, and sensitivity analysis was further applied for better results. It was observed from the findings that information sharing (F15) was the most significant factor for the aviation sector as the causal factor was ranked as the top criterion. Joint knowledge creation (F15) was ranked as the second topmost criteria as effect factor. E-learning (F9) is the third-ranking effect factor. This paper showed that information sharing assists in management performance and efficiency performance in the aviation sector.

The research deals with the study of (Family Building in Christianity and Islam, a comparative study).The research plan included: a preface to definitions and two topics: the first topic specialized in studying the building of the family system in the Christian religion, and the second topic was specialized in studying: family building in Islam. The aim of writing the research is to show the interest of Christianity and Islam in the family, its system, protection, development and foundations, and how Islam has surpassed all religions in its interest in the family in order to raise a good society as desired by Allah Almighty.