Effect of Nigella Sativa on Oxidative Stress in Post-Menopausal Females

Background: The permanent cessation of menstrual periods in menopause causes a decline in estrogen levels and increased oxidative stress. Both of these factors lead to menopausal symptoms, cardiovascular diseases and osteoporosis in the postmenopausal females that negatively affect the quality of their lives. Antioxidant properties of Nigella sativa are due to its natural ingredient “thymoquinone” and have been studied in various animal and human studies. This study was done to determine beneficial effect of nigella sativa. Material and Methods: Thirty postmenopausal females were recruited in the study after taking consent. Nigella sativa was administered at a dose of 1g/day for 2 months after breakfast. Blood sample was taken for pre and post treatment glutathione (GSH) estimation. The SPSS version 21 was used to analyze the data. Paired t- test was applied. P value of< 0.05 was considered significant.Results: Regarding the effect of the Nigella sativa on oxidative stress, result indicated a highly significant increase from baseline (p<0.0001) after 8 weeks’ consumption of Nigella sativa. The effect size was calculated both for biochemical parameter GSH and general parameter like weight and BMI. The result of the effect size calculation showed larger effect size for GSH levels (3.9) and moderate sized effect for weight and BMI.Conclusion: Nigella Sativa showed beneficial antioxidant effects in post-menopausal females and might be responsible for a better quality of life in these women

Study of Multi-Classification of Advanced Daily Life Activities on SHIMMER Sensor Dataset

Today the field of wireless sensors have the dominance in almost every person’s daily life. Therefore researchers are exasperating to make these sensors more dynamic, accurate and high performance computational devices as well as small in size, and also in the application area of these small sensors. The wearable sensors are the one type which are used to acquire a person’s behavioral characteristics. The applications of wearable sensors are healthcare, entertainment, fitness, security and military etc. Human activity recognition (HAR) is the one example, where data received from wearable sensors are further processed to identify the activities executed by the individuals. The HAR system can be used in fall detection, fall prevention and also in posture recognition. The recognition of activities is further divided into two categories, the un-supervised learning and the supervised learning. In this paper we first discussed some existing wearable sensors based HAR systems, then briefly described some classifiers (supervised learning) and then the methodology of how we applied the multiple classification techniques using a benchmark data set of the shimmer sensors placed on human body, to recognize the human activity. Our results shows that the methods are exceptionally accurate and efficient in comparison with other classification methods. We also compare the results and analyzed the accuracy of different classifiers

An Efficient Feature Selection Algorithm for Health Care Data Processing

The researcher used to study the tides depends on a qualitative approach that takes into account the review of past works and studies of various authors and researchers. The service sector is an explosive part of the economy in many countries. Its development is fraught with difficulties, including increased costs, wasteful aspects, poor quality, and the expansion of multifaceted nature. AI systems can be deployed in health programs they want to be qualified using statistics obtained from clinical activities, consisting of screening, diagnosis, corrective measures, etc. The advantage is due to proactive behavior and specialized medical services. Stimulates e-health and electronic monitoring at the forefront of research. AI systems can be deployed in health programs they want to be “qualified” using statistics obtained from clinical activities, consisting of screening, diagnosis, corrective measures, etc. On the other hand, among the various classes in a study in medical services, the use of data mining is usually used as an aid in clinical choice (42%) and for managerial purposes (32%). This segment examines the use of data mining in these territories, and the main points of these checks, performance holes, and key points are different

Acute Appendicitis: Relationship of Total Leucocyte Count with Per-Operative Stage

Objective: To correlate total leucocyte count(TLC) with per-operative stage of acute appendicitis. Patients and Methods: This cross sectional study was conducted in department of surgery, Pakistan Institute of Medical Sciences (PIMS) from June 2016 to June 2017. A total 77 patients were included through consecutive sampling technique. Statistical Package for Social Sciences (SPSS) version 20 was used to analyze data. Results: A total of 77 patients were included in the study, among them 47 (61%) were males, and 30(39%) were females. Mean age was 22.25 ± 5.19 years. Mean TLC was 12,900 ± 4087 cells/µL Patients having acute appendicitis were labeled as, acute appendicitis stage I which included 59 (76.6%) patients, Gangrenous appendicitis was named as stage II which included 11 (14.3%) patients. Perforated appendicitis was labeled as Stage III in which 7 (9.1%) patients were inducted. In stage I, mean age was 21.89 ± 5.50 years and mean TLC was 12,344 ± 4162 cells/µl. In stage II, mean age was 22.36 ± 3.90 years and mean of total leukocyte count was 15,072 ± 3497 cells/µl. In stage III, mean age was 25.57 ± 3.50 years and mean leukocyte count was 14,214 ± 4141cells/µl (p-value >0.05). Conclusion: Significant statistical association was not found in patients in different stages of appendicitis with respect to TLC (p value >0.05), although patients in all stages had raised mean TLC with mean TLC highest in patients having stage II (Gangrenous appendicitis)

Mitigating potential of polystyrene microplastics on bioavailability, uptake, and toxicity of copper in maize (Zea mays L.)

Acknowledgments This study received no grant from funding organizations in the public, private, or not-for-profit sectors.Peer reviewe

Characteristics of Critically ill Obstetric Patients Admitted to the ICU at a Tertiary Care Centre

Objective: To ascertain the characteristics, admission indications, interventions, and outcomes of obstetric patients admitted to ICU.Methodology: A retrospective, descriptive study was conducted at Lady Reading Hospital's ICU in Peshawar, Pakistan (January 1 to December 31, 2022). During this time, a total of 1560 patients were received in the ICU, out of which 132 full filled our inclusion and exclusion criteria. Characteristics of patients, reasons for admission, interventions, demographic information, obstetric history, length of stay, and outcomes were collected through a retrospective review of medical records. Statistical analysis was performed using SPSS software version 21.0.Results: Among the 1,560 admissions in ICU, 132 were obstetric cases (8.5% of all ICU admissions). Majority of these patients had a mean age of 27.05 ± 6.23 years, with mean ICU stay duration of 6.55 ± 7.05 days. Among these, hypertensive disorders of pregnancy were identified in 47 patients (35.6%). Obstetric hemorrhagic disorders accounted for admission in 40 patients (30.3%). Out of the 132 patients, 26 (19.6%) did not survive. Highest mortality rates were of those admitted with fulminant hepatic failure (2 patients, 66.7%). Among patients admitted for direct obstetric reasons, post-natal septicemia caused the highest mortality (3 patients, 37.5%). Ventilatory support was required by 113 patients (85.6%) and vasopressor support was administered to 87 patients (65.9%) of the patients. Conclusions: To decrease maternal mortality and improve healthcare for pregnant individuals, it is crucial to focus on hypertensive disorders of pregnancy and obstetric hemorrhage. Addressing these issues, along with providing effective post-natal sepsis treatment, can contribute to a reduction in mortality rates.Keywords: Obstetric hemorrhage, Pre-Eclampsia, Post-natal septicemia, Mortalit

Earning Management Leverage and Firm Performance: Empirical Evidence from Pakistan

Using the regression analysis by taking year and industry impact, we conducted the study to see how debt can be used to mitigate the negative impact of earning management on the performance of the company. We take the sample of non-financial firms from Pakistan between year 2009 to 2015. Our results conclude that firms which are engage in earning management activities by AEM or REM both impacts negatively on the performance of the company. The role of debt has a positive impact on the performance of the company and it can be used by the shareholders to monitor the activities of managers and attenuate the negative impact of earning management activities. We emphasis that company managers are involve in earning management activities in the context of Pakistan and role of debt is important to mitigate its negative impact on firm performance. Keywords: Profitability, Leverage, Earning Management, Pakista

GC-MS metabolic profiling and anti-urease activity of nonpolar fractions of Calligonum Polygonoides L. (Polygonaceae) and Crateva Adansonii DC. Prodr. (Capparaceae)

Purpose: To determine the urease-inhibitory activity and chemical constituents of fractions of Calligonum polygonoides and Crateva adansonii separated by physical properties. Methods: The anti-urease activities of different fractions of the plants (methanol, n-hexane, CHCl3, nbutanol) were evaluated using a standard procedure. The chemical constituents of the extracts with the highest urease-inhibitory activity were determined by gas chromatography-mass spectrometry. Results: The n-hexane fractions of both plants had higher urease-inhibitory activity and a lower halfmaximal inhibitory concentration (IC50) than the other extracts. GC-MS evaluation revealed that nhexane fraction of C. polygonoides was rich in fatty acids (39.36 %), sterols (22.29 %), long chain alkanes (98.5 %), and a few volatiles (5.26 %), while the n-hexane fraction of C. adansonii had high levels of alkanes (35.03 %), sterols (10.46 %), fatty acid esters (46.82 %), and triterpenes (23.76 %). Conclusion: The n-hexane fractions of the plants demonstrate high urease-inhibitory activity. Thus, these plant-based anti-urease fractions can potentially serve as a starting point for the development of novel antibacterial agents with enhanced efficacy and reduced antibiotic resistance in the treatment of pathological conditions and infections associated with urease

THE MEDIATING ROLE OF JOB SATISFACTION BETWEEN HUMAN RESOURCE DEVELOPMENT AND PROJECT SUCCESS

ABSTRACT   Purpose - Human resource development (HRD) is considered one of the most important components for the success of any project. The purpose of this study is to examine the impact of HRD activities (career development and team development) on project success by inquiring into job satisfaction