To Study the Effect of Job Satisfaction on the Performance of Academic Faculties Working in Private Colleges and Private Universities in Indore

The objective of the existing study was to examine the impact of job satisfaction on the performance of employees working in private colleges and universities in Indore, India. To achieve this, questionnaires were distributed to a total of 60 employees, out of which 54 responses were received and considered as the sample from private colleges and universities in Indore. An equal number of employees (n = 54) were randomly selected from different types of organizations, including undergraduate and postgraduate colleges, as a comparison group. The study utilized a self-constructed questionnaire based on the Minnesota Satisfaction Questionnaire (MSQ-quick form) developed by Weiss et al. (1967), as well as a self-constructed Performance Evaluation Form (PRF). Initially, the reliability of both instruments was assessed to determine the significance of the scales. The study findings indicated a significant correlation between the type of occupation and job satisfaction. Moreover, a positive relationship between job satisfaction and employee performance was also observed. Therefore, the study concluded that satisfied employees performed better compared to dissatisfied employees, thus playing a significant role in the advancement of their organizations. Consequently, it is crucial for every organization to adopt specific strategies and methods to motivate and ensure employee satisfaction, thereby promoting high performance

Determination of geographical origin of Mustard oil based on multi-elemental fingerprinting using inductively coupled plasma mass spectrometry (ICP-MS) and chemometric analysis

In the present study samples of mustard were collected from 10 different provinces of India. The method is developed by using 20 different elements (Na, Mg, Al, P, Ca, Cr, Mn, Fe, Co, Ni, Cu, Zn, Ar, Se, Rb, Sr, Mo, Cs, and Pb) using Inductively Coupled Plasma Mass Spectrometry (ICP-MS). The elemental data obtained from the ICP-MS were subjected to chemometric analysis for the classification of each sample. In this study, we have used Principal component analysis (PCA) and Hierarchical cluster analysis (HCA), in order to group the samples according to their elemental composition. HCA showed five clusters corresponding to the geographical origin of the mustard. Finally from Linear discriminant analysis (LDA) models were developed which provided 100% accuracy. The elements Mg, P, Ca, Fe, Cr, Cu & Se were found be useful and were the most discriminating elements. Hence, this study provides potential elemental marker for identification of the geographical origin of the mustard in various geographical regions

Hematopoietic Stem Cell Factors: Their Functional Role in Self-Renewal and Clinical Aspects.

Hematopoietic stem cells (HSCs) possess two important properties such as self-renewal and differentiation. These properties of HSCs are maintained through hematopoiesis. This process gives rise to two subpopulations, long-term and short-term HSCs, which have become a popular convention for treating various hematological disorders. The clinical application of HSCs is bone marrow transplant in patients with aplastic anemia, congenital neutropenia, sickle cell anemia, thalassemia, or replacement of damaged bone marrow in case of chemotherapy. The self-renewal attribute of HSCs ensures long-term hematopoiesis post-transplantation. However, HSCs need to be infused in large numbers to reach their target site and meet the demands since they lose their self-renewal capacity after a few passages. Therefore, a more in-depth understanding of ex vivo HSCs expansion needs to be developed to delineate ways to enhance the self-renewability of isolated HSCs. The multifaceted self-renewal process is regulated by factors, including transcription factors, miRNAs, and the bone marrow niche. A developed classical hierarchical model that outlines the hematopoiesis in a lineage-specific manner through in vivo fate mapping, barcoding, and determination of self-renewal regulatory factors are still to be explored in more detail. Thus, an in-depth study of the self-renewal property of HSCs is essentially required to be utilized for ex vivo expansion. This review primarily focuses on the Hematopoietic stem cell self-renewal pathway and evaluates the regulatory molecular factors involved in considering a targeted clinical approach in numerous malignancies and outlining gaps in the current knowledge

Experimental and clinical data analysis for identification of COVID-19 resistant ACE2 mutations.

The high magnitude zoonotic event has caused by Severe Acute Respitarory Syndrome CoronaVirus-2 (SARS-CoV-2) is Coronavirus Disease-2019 (COVID-19) epidemics. This disease has high rate of spreading than mortality in humans. The human receptor, Angiotensin-Converting Enzyme 2 (ACE2), is the leading target site for viral Spike-protein (S-protein) that function as binding ligands and are responsible for their entry in humans. The patients infected with COVID-19 with comorbidities, particularly cancer patients, have a severe effect or high mortality rate because of the suppressed immune system. Nevertheless, there might be a chance wherein cancer patients cannot be infected with SARS-CoV-2 because of mutations in the ACE2, which may be resistant to the spillover between species. This study aimed to determine the mutations in the sequence of the human ACE2 protein and its dissociation with SARS-CoV-2 that might be rejecting viral transmission. The in silico approaches were performed to identify the impact of SARS-CoV-2 S-protein with ACE2 mutations, validated experimentally, occurred in the patient, and reported in cell lines. The identified changes significantly affect SARS-CoV-2 S-protein interaction with ACE2, demonstrating the reduction in the binding affinity compared to SARS-CoV. The data presented in this study suggest ACE2 mutants have a higher and lower affinity with SARS-Cov-2 S-protein to the wild-type human ACE2 receptor. This study would likely be used to report SARS-CoV-2 resistant ACE2 mutations and can be used to design active peptide development to inactivate the viral spread of SARS-CoV-2 in humans