Impact of Organization Commitment on Turnover Intention: Mediating Role of Job Contentment

Basis purpose of this research is to find out the impact of organizational commitment on turnover intension. Literature on organizational commitment and turnover intention depicted that organizational commitment has profound impact on turnover intension. Further influence of job satisfaction as mediator was also investigated. Data was collected through the questionnaires from 200 employees of banking sector of Faisalabad. To test the hypothesis, correlation and regression analysis is carried out using SPSS 20.0. Results of the statistical analysis indicated significantly negative relationship between organizational commitment and turnover intension and significant positive relationship between organizational commitment and job satisfaction. Result of the research concludes that job satisfaction partially mediates the relationship between organizational commitment and turnover intension. Keywords: Organizational commitment, affective commitment, continuous commitment, normative commitment, Job satisfaction, turnover intension

Influence of Bank Specific and Macroeconomic Factors on Profitability of Commercial Banks: A Case Study of Pakistan

The intended aim of study is to identify the influence of bank specific and macroeconomic factors on profitability of commercial banks in Pakistan over the period of 2007 to 2011. Return on assets and return on equity are used as dependent variable. Deposit to assets, bank size, capital ratio, net interest margin and nonperforming loans to total advances are utilized as bank specific measures. Inflation, real gross domestic product and industry production growth rate are macroeconomic factors. By employing descriptive statistics, correlation and regression analysis researcher conclude that bank size, net interest margin, and industry production growth rate has positive and significant impact on the ROA and ROE. Nonperforming loans to total advances and inflation have negative significant impact on Return on assets while real gross domestic product has positive impact on ROA. Capital ratio has positive significant impact on ROE. Key words: Return on Assets, Return on Equity, Inflation, Capital Ratio, Nonperforming loan

New Bioactive Oleanane Type Compounds from Coriandrum sativum

Five (1–5) new bioactive oleanane type triterpenoids have been isolated from ethyl acetate soluble fraction of ethanolic extract of Coriandrum sativum Linn. of Umbelliferae family. Ethanolic extract of the whole plant was fractionated in organic solvents. Ethyl acetate fraction was subjected to column chromatography on HPLC RP-18 to get 1-oxo-11β,21β-dihydroxy-oleanane (1), 1-oxo-11β-hydroxy-21β-O-acetyloleanane (2), 1-oxo-11β-hydroxy-21β-O-angeloyloleanane (3), 1-oxo-11β-O-angeloyl-21β-O-acetyloleanane (4), and 1-oxo-11β,21β-O-dibenzoyloleanane (5). The structures were elucidated after analysis of spectroscopic data, UV, IR, NMR (1H, 13C, 1D, and 2D), and mass measurements. Suspension in water of crude ethyl acetate extract was employed to treat sheep with ringworm disease. All isolated compounds (1–5) displayed excellent activity in terms of inhibition zones, MICs, MBCs, and MFCs against both bacteria and fungi. Ethyl acetate extract showed excellent antiringworm activity in sheep

Comorbidity of COVID-19 related Fatalities in Tertiary Care Hospitals of Rawalpindi, Pakistan

Objectives: To assess the COVID-19 associated fatalities with respect to demographics, comorbidity, critical illness, and length of hospital stay in tertiary care hospitals. Subjects & Methods: A retrospective hospital data-based research was done among 216 COVID-19 associated mortalities registered in 4 tertiary care hospitals Holy Family Hospital (HFH), Benazir Bhutto Hospital (BBH), District Head Quarters Hospital (DHQ) and Rawalpindi Institute of Urology & Transplantation (RIU & T) affiliated with Rawalpindi Medical University from 29th March-15th June 2020. The data was gathered by consecutive sampling pertinent to demographics, hospital stay, comorbidity, critical illness, and ventilator or oxygen support. The length of hospital stay among fatalities with and without comorbidity was compared by an independent sample z-test. Data were analyzed by using SPSS version 25.0. Results: Of the total 216 COVID-19 related mortalities, 150(69.4%) were males and 66(30.6%) were females. The mean age of fatalities was 55.66 ± 13.97 years. About 76.7% of dying males were 41-70 years old while 56.1% of females dying of COVID-19 were 41-60 years old. Most (60.8%) of study subjects had hypertension followed by diabetes (53.8%), Ischemic Heart Disease (17.5%), and respiratory disorders (12.3%). About 75% of the critically ill patients needed a ventilator for respiratory support. Length of hospital stay was determined to have a statistically insignificant association (P > 0.10) with the presence or absence of comorbidity among COVID-19 patients. Critical illness had a highly significant association (P < 0.000) with ventilator support among COVID-19 related mortalities. Conclusion: People 41-70 years should preferably adopt stringent precautions for protection against COVID-19. Comorbid states chiefly hypertension, diabetes, cardiac and respiratory diseases need special consideration amid COVID-19 pandemic to abstain from adverse health outcomes

Graphene: The Material of Today and Tomorrow

Graphene has astounding aptitudes owing to its unique band structure characteristics outlining its enhanced electrical capabilities for a material with the highest characteristic mobility known to exist at room temperature. Graphene, one-atom-thick, a planar sheet of carbon atoms densely packed in a honeycomb crystal lattice, has grabbed considerable attention due to its exceptional electronic and optoelectronic properties. Reported properties and applications of this two-dimensional form of carbon structure have opened up new opportunities for the future devices and application in various fields. Though graphene is recognized as one of the best electronic materials, synthesizing single sheet of graphene has been less explored. This review article aims to present an overview of the progression of research in graphene, in the area of synthesis, properties and applications. Wherever applicable, the limitations of present knowledge base and future research directions have also been discusse

Do Board Independence Carry Value? A Case Study of Pakistani Banks

Abstrac

One factor at a time analysis to modify potting technique for manufacturing of bubble-free high-voltage polyester insulated automotive coils

The current study focuses on minimising the bubbles in polyester-insulated ignition coils, which were produced with a defect level of ~21–25% or 210–250 coils per 1000 batch size by using the potting method. This high-level rejection makes a substantial financial impact by increasing waste material, manufacturing, and after-sales costs. Hence, to control the bubbled problem without using expensive and maintenance-heavy techniques, the process parameters in the potting method were alternated and investigated using one factor at a time, which played a vital role in the formation/ reduction of bubbles in the ignition coil insulation. Process parameters, including pre/process heating, the appropriate MEKP/cobalt naphthenate ratio, the pouring amount/increments, and the stirring speeds, reduced the bubble formation per lot from 205 ± 30 to 146 ± 25, 108 ± 21, 61 ± 17, and 10 ± 2 per 1000 lot accordingly. In addition, a comparative study was conducted in terms of performance and life cycle endurance, using Japanese and Indian standards. Furthermore, an after-sale warranty claim also supports the proposed changes in the potting technique. This modification may reduce the after-sales rejection within two years to approximately ~85%. This modification in the potting technique is extremely cost-effective in comparison to expensive processes, i.e., vacuum-pressure impregnation and vacuum impregnation, which require extensive labour and maintenance

Green Synthesis of Nickel Oxide Nanoparticles using Populus ciliata Leaves Extract and their Potential Antibacterial Applications

Green synthesis of nanoparticles has received a lot of attention from scientists globally because it is eco-friendly, relatively rapid, and a cost-effective  method. This work presents a method for the green synthesis of nickel oxide nanoparticles (NiO-NPs) using leaf extracts of Populus ciliata as a reducing  and stabilising agent. The synthesised NiO-NPs were characterised by ultravioletvisible spectroscopy, Fourier transform infrared spectroscopy, powder  X-ray diffraction, scanning electron microscopy, and transmission electron microscopy. It was found that the synthesised NiO-NPs shapes varied, were  highly crystalline, and had a face-centred cubic geometry. The calculated crystallite size of the synthesised nanoparticles was 44 nm. Moreover, the  antibacterial activity of the synthesised NiO-NPs was also conducted against Gram-positive bacteria (Bacillus subtilis, Bacillus licheniformis) and Gram-  negative bacteria (Escherichia coli and Klebsiella pneumoniae). Bacillus subtillus showed a maximum inhibition zone of 28.1±1.6 mm, whereas Klebsiella  pneumonia showed a minimum inhibition zone of 9.2±0.5 mm. It was also found that the antibacterial activity increased with an increase in the  concentration of NiO-NPs

Development of an Intelligent Real-time Multi-Person Respiratory Illnesses Sensing System using SDR Technology

Respiration monitoring plays a vital role in human health monitoring, as it is an essential indicator of vital signs. Respiration monitoring can help determine the physiological state of the human body and provide insight into certain illnesses. Recently, non-contact respiratory illness sensing methods have drawn much attention due to user acceptance and great potential for real-world deployment. Such methods can reduce stress on healthcare facilities by providing modern digital health technologies. This digital revolution in the healthcare sector will provide inexpensive and unobstructed solutions. Non-contact respiratory illness sensing is effective as it does not require users to carry devices and avoids privacy concerns. The primary objective of this research work is to develop a system for continuous real-time sensing of respiratory illnesses. In this research work, the non-contact software-defined radio (SDR) based RF technique is exploited for respiratory illness sensing. The developed system measures respiratory activity imprints on channel state information (CSI). For this purpose, an orthogonal frequency division multiplexing (OFDM) transceiver is designed, and the developed system is tested for single-person and multi-person cases. Nine respiratory illnesses are detected and classified using machine learning algorithms (ML) with maximum accuracy of 99.7% for a single-person case. Three respiratory illnesses are detected and classified with a maximum accuracy of 93.5% and 88.4% for two- and three-person cases, respectively. The research provides an intelligent, accurate, continuous, and real-time solution for respiratory illness sensing. Furthermore, the developed system can also be deployed in office and home environments