Electrical effects of gases on lead telluride thin films

Imperial Users onl

Effect of Business Practices on the Micro Small & Medium Enterprises (MSMES)

The long haul survival of Micro Small & Medium Enterprises (MSMEs) is critical in the hypothesis of managing business enterprise, considering that it can prompt perpetual occupation creation most particularly in creating nations like India. Entrepreneurial attributes clarify why individuals start up new organizations they could call their own, however whether these organizations are fruitful, rely on their mix with a large group of different variables. Albeit entrepreneurial attributes are fundamental for the accomplishment of a business, other discriminating business rehearses when coordinated with entrepreneurial qualities will upgrade SMEs achievement and survival. The business people or the proprietor directors think the long haul survival of SMEs is equivalent to achievement or constitutes a larger piece of an association's prosperity. The basis of this study is to investigate existing hypothetical and exact thoughts on business hones. From there on, a calculated system is exhibited and clarified taking into account the presumption that hierarchical society and methodologies upgraded by entrepreneurial/administrative capacities make up the business hones, which impact business execution (achievement and survival). SME?s long haul survival and its determinants are later examined in point of interest and some of these determinants are tried in this study. Besides, a relationship between business execution (achievement and survival) and long haul survival of SMEs is built. The last piece of the part manages the effect of the business outer environment and its conceivable ramifications on SMEs and it is on this structure that a conclusion the study is exhibited

A new indication for elective induction of labor COVID-19 pandemic effect

Background: Induction of labour is performed in certain circumstances which involve greater risks of waiting for the onset of spontaneous labour than the risks due to shortening the duration of pregnancy by induction. The objective of this study was to evaluate the maternal and fetal outcome in patients undergoing elective induction during COVID-19 pandemic.Methods: This prospective observational study was conducted on 60 ANC patients with singleton pregnancy and POG >39 weeks coming to OPD with negative COVID-19 RT-PCR report. To avoid the burden of repeat testing after one week and risk of exposure to COVID-19 virus from community, patients were induced. All the data was recorded and analyzed.Results: Most of the patients were in age group of 20-25 years (50%) and only 6.7% of the patients were older than 30 years. 32 (53.3%) patients were multiparous and 50% of the patients were having Bishop score between 2-5 and only 8.3% had bishop score of more than 5. 47 patients (78.3%) underwent normal vagina delivery whereas 12 patients (20%) underwent LSCS. Failure of Induction was the indication for LSCS in 5 patients (41.7%).Conclusions: Elective induction was found to be better option in COVID-19 negative patients. All pregnant women should be monitored for development of symptoms and signs of COVID-19 particularly if they have had close contact with a confirmed case. Pregnancy and childbirth generally do not increase the risk for acquiring SARS-CoV-2 infection but may worsen the clinical course of COVID-19 compared with nonpregnant individuals of the same age.

Impact on quality-of-life: before and after topical combinational treatment in patients of acne vulgaris

Background: The objective was to study quality-of-life in patients of acne vulgaris before and after treatment by benzoyl peroxide 2.5% gel and clindamycin 1% gel or benzoyl peroxide 2.5% gel and nadifloxacin 1% cream or tretinoin 0.025% and clindamycin 1% gel.Methods: This was a prospective, open, randomized, parallel comparative study of 60 patients of acne vulgaris attending the Department of Dermatology and Venereal Diseases, Government Medical College, Rajindra Hospital, Patiala. Three groups were made 20 in each group, one group received benzoyl peroxide 2.5% gel and clindamycin 1% gel, the second group received benzoyl peroxide 2.5% gel, and nadifloxacin 1% cream and the third group received tretinoin 0.025% and clindamycin 1% gel. Cardiff acne disability index questionnaire was filled before starting and after the treatment.Results: In these three groups, it was found that the group on benzoyl peroxide 2.5% gel and clindamycin 1% gel, mean score, before starting treatment was 8.35±3.48 and after treatment was 2.95±2.09 (p<0.001), group on benzoyl peroxide 2.5% gel and nadifloxacin 1% cream, mean score, before starting treatment was 7.60±3.75 and after treatment was 5.80±2.98 (p<0.001) and group on tretinoin 0.025% and clindamycin 1% gel mean score is 8.00±3.06 and after treatment was 5.40±2.93 (p<0.001).Conclusion: Quality-of-life improves more in patients taking benzoyl peroxide 2.5% gel and clindamycin 1% gel, and then, tretinoin 0.025% and clindamycin 1% gel and then benzoyl peroxide 2.5% gel and nadifloxacin 1% cream

RegTech compliance tools for charities in the United Kingdom: can machine learning help lighten the regulatory burden?

Machine learning has had a major impact on banking, law and other sectors. The speed with which the technology has developed to undertake complex and technical tasks as well as those that are both time consuming and that are subject to constantly changing parameters is astounding. The purpose of this article is to explore whether machine learning can be used as a potential solution to lighten the compliance and regulatory burden on charitable organisations in the United Kingdom; to facilitate regulatory compliance with legal duties and for the development of a coherent streamlined action plan for future technological investment. The question is approached through the analysis of data, literature, and domestic and international regulation. Part one of the article summarises the current regulatory obligations faced by charities, these are then, in part two, set against the potential technological solutions provided by machine learning as of August 2021. The recommendation is that charities can utilise machine learning as a smart technological solution, this will aid them to meet the regulatory challenges and comply with the law and/or rules. This work is original because it explores whether the various forms of machine learning can assist charities in meeting their regulatory compliance obligations

Uncertainty Measurements in Chemically Synthesized Stable Uniform Sized Gold Nanoparticles for TEM/HRTEM Calibration

The accuracy of an electron microscope depends on the magnification and resolution of the microscope. Hence in order to achieve high accuracy measurement results from the electron microscopic examination, a standard specimen is required to calibrate the transmission electron microscope (TEM). In the present work, gold nanoparticles of uniform size with narrow particle size distribution were synthesized with an aim to use them as reference material (RM) for TEM/high resolution TEM calibration and then release them in market as Bhartiya Nideshak Dravya (BND). As synthesized gold nanoparticles at 20 ± 2 C temperature and 45± 5% relative humidityand the standard sample were characterized by using HRTEM, model: FEI-Tecnai F30 G2 STWIN at suitable magnification and areas. Both images exhibit spherical shaped nanoparticles with size varying in the range from (15.35-20.15 nm) and (5.10 -7.70 nm) respectively. Stability in particles size of the chemically synthesized gold nanoparticles was studied for a period of one year time span using UV-Visible spectrometer. TEM/HRTEM measurements were carried out in automated mode under similar experimental and environmental conditions at different magnifications to get accurate particle size. Overall uncertainty is estimated in small and big size particles as per standard GUM document guidelines

Gene Expression Profiling of Human Adipose Tissue Stem Cells during 2D versus 3D Adipogenesis

Much of the current understanding on molecular and cellular events of adipose developmental biology comes from monolayer cell culture models using preadipocyte cell lines, although in vivo adipose tissue consists of a much more complex three-dimensional microenvironment of diverse cell types, extracellular network, and tissue-specific morphological and functional features. Added to this fact, the preadipocytes, on which the adipogenesis mechanisms are mostly explored, possess some serious limitations (e.g., time of initial subculture and adipogenic differentiation time), which, perhaps, can efficiently be replaced with progenitor cells such as adipose tissue-derived stem cells (ASCs). With the objective of developing a better in vitro model for adipose developmental biology, this project involves gene expression profiling of human ASCs (hASCs) during their differentiation to adipocytes in a 2D versus 3D culture model. This transcriptional-level analysis revealed that gene expression patterns of adipogenesis-induced hASCs in a 3D self-assembled polypeptide hydrogel are relatively different from the 2D monolayered cells on plastic hard substrate. Moreover, analysis of adipogenic lineage progression 9 days after adipogenic induction shows earlier differentiation of hASCs in 2D over their 3D counterparts. However, differentiation in 2D shows some unexpected behavior in terms of gene expression, which does not seem to be related to adipogenic lineage specification. Since hASCs are already being used in clinical trials due to their therapeutic potential, it is important to have a clear understanding of the molecular mechanisms in an in vivo model microenvironment like the one presented here

Mask Use pattern, Public Perception and Barriers to Effective Mask Usage-A battle far from over

Background &amp; Objective: Proper mask wearing reduces the transmissibility and risk of Covid-19 infection still compliance to mask use is low. This study was conducted to observe the mask usage pattern, perception and barriers to effective mask usage (EMU). Settings and Design: This cross-sectional study was conducted in collaboration with district police administration to observe mask usage pattern in various crowded places. Methods and Material: Participants from general public (n=6995) in 10 preselected areas of city were observed and then interviewed about their perceptions about EMU. Indirect observation of EMU was also done by screening CCTV footage, followed by another set of observation at same places after conducting a health education campaign. Data was entered in Microsoft excel and analyzed using SPSS. P value &lt;0.05 was considered significant. Results: EMU was seen in nearly 62% participants. Younger age, native population, education above matric, persons driving two &amp; four wheelers, had significantly higher compliance. During CCTV observation, EMU was 57.5%, and was highest near public places, roads and intersections while lowest near bus stand and religious places. Some improvement in compliance was seen after health education at these places. Breathing difficulty, no use of wearing mask and feeling uncomfortable were the most common reasons given by participants for non-compliance.Conclusions: EMU was lower in elderly, migrants, less educated, unemployed, daily wage workers, so these groups should be especially sensitized about preventive measures. There is need for extensive public education to bring out behavioral change regarding proper mask wearing to control this pandemic and prevent further waves