bluuebunny/crossref_metadata_2025 huggingface dataset:
Study on the Flexural Strength of Polypropylene Fiber Reinforced M20 Grade Self-Compacting Bacterial Concrete
Authors: Jha S. , Ramesh B. , Macrin D.
Published: April 2023

Aim: This study’s objective is to determine how polypropylene fibre impacts self-healing concrete’s flexural strength. Materials and Methods: Investigation was divided into two groups, with each group preparing 18 samples with Gpower (80 percent). Group-1 denotes conventional self-healing bacterial concrete, while Group-2 denotes polypropylene fibre reinforced self-healing bacterial concrete. The number of samples was determined using clinical software and values taken from previous research publications. The independent sample T-test, performed using SPSS software version 21, demonstrates a substantial increase in the flexural strength of the fibre reinforced self-healing concrete. Result: In comparison to conventional self-healing bacterial concrete, polypropylene fibre reinforced self-healing bacterial concrete has a 19% higher flexural strength. The significance of the events was 0.354 (p>0.05), indicating that there was no significant statistical difference. The flexural strength of polypropylene reinforced bacterial concrete had a standard deviation of 0.79623. Conclusion: According to the findings of this experiment, M20 grade self-healing bacterial concrete reinforced with polypropylene fibre has a stronger flexural strength than regular self-healing bacterial concrete.
An Analysis Of Chronic Kidney Disease Using Novel Decision Tree Algorithm By Comparing Logistic Regression For Obtaining Better Accuracy
Authors: Rohith J. , Priyadarsini P.S.U.
Published: April 2023

Aim: Currently kidney disease is a major problem. Because there are so many people with this disease. Kidney disease is very dangerous if not immediately treated on time, and may be fatal. The main objective of this study aims to find the best-suited algorithm that will give us the most ideal prediction. The Novel Decision Tree is compared to Logistic regression to find out which of these can give us the best accuracy. Material and Methods: The study used 220 samples with Novel Decision Tree and Logistic regression is executed with varying training and testing splits for predicting the accuracy for kidney disease prediction with the G-power value of 80% and the kidney datasets were collected from various web sources with recent study findings and threshold 0.05%, confidence interval 95% mean and standard deviation. The performance of the classifiers are evaluated based on their accuracy rate using the chronic kidney disease dataset. Results: The accuracy of predicting kidney disease in Novel Decision Tree (96.66%) and Logistic regression (85.25%) is obtained. There is a statistical 2-tailed significant difference in accuracy for two algorithms is 0.000 (p<0.05) by performing independent samples t-tests. Conclusion: This study concludes that the Prediction of Kidney disease using the Novel Decision Tree (DT) algorithm appears to be significantly better than the Logistic regression (LR) with improved accuracy.
Gene Data Analysis for Disease Detection Using Data Mining Algorithms
Authors: Ramakrishnan R.
Published: April 2023

As a result of these promising results, researchers believe that gene expression tests are more important in creating more accurate and efficient diagnostic and classification tools for cancer. In the deoxyribonucleic acid (DNA) system, a gene is transcribed over ribonucleic acid (RNA) during transcription, which is a process known as gene expression (RNA). The study of gene expression data for cancer categorization has recently emerged as an active research subject. This research uses genetic algorithms (GA) to pick a subset of cancer microarray data that contains a meaningful set of genes. Then, standard classifiers like One-R, Bayesian Network, logistic regression, and Support Vector Machine (SVM) are developed based on these specific genes. Gene expression data sets are used to test the performance of these classifiers. According to the results of experiments, combining the confluence of GA and SVM is the most effective approach. In addition, the GA selection process is repeatable.
Prediction Analysis Of Chronic Kidney Disease Using Novel Decision Tree Algorithm By Comparing Naive Bayes For Obtaining Better Accuracy
Authors: Rohith J. , Priyadarsini P.S.U.
Published: April 2023

Aim: Individuals at high-hazard of cardiovascular sickness are no doubt defenseless against ongoing kidney diseases, and historical clinical records can assist with turning away complicated kidney issues. The main objective of this study aims to find the best-suited algorithm that will give us the most ideal prediction. We will be comparing Novel Decision Tree with Naive Bayes to find out which of these can give us the best accuracy. Material and Methods: The study used 540 samples with Novel Decision Tree and Naive Bayes is executed with varying training and testing splits for predicting the accuracy for kidney disease prediction with the G-power value of 80% and the kidney datasets were collected from various web sources with recent study findings and threshold 0.05%, confidence interval 95% mean and standard deviation. The performance of the classifiers are evaluated based on their accuracy rate using the chronic kidney disease dataset. Results: The accuracy of predicting kidney disease in Novel Decision Tree (96.66%) and Naive Bayes (90.83%) is obtained. There is a statistical significant difference in accuracy for two algorithms is 0.001 (p<0.05) by performing independent samples t-tests. Conclusion: This study concludes that the Prediction of Kidney disease using the Novel Decision Tree (DT) algorithm appears to be significantly better than the Naive Bayes (NB) with improved accuracy.
Cost efficient oxygen concentrator with PSA technology
Authors: Sofia B.J. , Bharath S. , Madhankumar C. , Sudharsanam K. , Ummathullah U. , Prabhakar P.B.E.
Published: April 2023

Normally atmospheric air contains mixture of gases like nitrogen (78%), oxygen (21%), and small amount of lot of other gases like carbon-di-oxide (0.03%), hydrogen. Oxygen concentrator is a device that concentrate (or) separate oxygen from ambient air by specifically removing nitrogen by process of Pressure Swing Adsorption (PSA). Pressure Swing Adsorption is a technique that separate oxygen from a mixture of gases depending on pressure to which molecular characteristics and affinity for a zeolite (Natrolite). The proposed output of Oxygen concentrator with Pressure Swing Adsorption technology is economical and high-efficient. The experimental results of the proposed system supplied the oxygen at the purity of about 94.7% for the low velocities of 0.5-3 L/min. It is concluded that the system provides a good performance when considered that a patient with the COPD should take the oxygen at the purity of 90% or more for the low velocities of 0.5-3 L/min. On comparing with other oxygen concentrator available in the market, this proposed system is highly cost effective and comparatively lesser in weight. As per the experiments conducted using the proposed system provides comparatively less noise and works efficiently for long time and oxygen purity is also high. Since, this proposed system has these many features. This is so much helpful for peoples who can’t able to afford market available oxygen concentrator.
Review on Sodium Calcium Exchanger (Na+-Ca2+X) Electrophysiological Characteristics and its Role in Cardiac Arrhythmias
Authors: Gulothungan G. , Vickram A.S.
Published: April 2023

Cardiac arrhythmias is one of the cardiovascular diseases that cause more death in today’s industrial world. Among the generation of arrhythmias in cardiac myocytes, Early Afterdepolarization (EAD) and Delayed Afterdepolarization (DAD) is most significant one. Sodium -Calcium Exchanger (Na+- Ca2+ X) dysfunction is one of major source of DAD and EAD. Na+- Ca2+ X which exact mechanism is responsible for promoting EAD and DAD still not derived clearly from any cardiac models investigation. It is very important to understand the electrophysiological characteristics of Na+- Ca2+ X and its role in cardiac arrhythmias to clearly detect such arrhythmias effects. In this research article the aim is to build a strong fundamental foundation of Na+- Ca2+ X mechanism in terms of electrophysiological molecular segment (internal structure) arrangements and various Na+- Ca2+ X investigations on cardiac arrhythmias. Na+-Ca2+X is one which belongs to low chemical attraction, high transport capacity and energetically driven by the Na+ ions. The second is an L-type Ca2+ channel, which has a high affinity to Ca2+. Na+-Ca2+X eject nearly thirty (30%) of Ca2+ is required to activate the myofilaments in rabbit, guinea pig and human ventricles and a very small amount (7%) of Ca2+ is required in rat and mouse ventricles. Na+-Ca2+X transport Ca2+ up to 5000 per second (≈6μM/L), which is much greater than SR Ca2+ ATP Ca2+ transport (100 to 150 per second at ≈0.3μM/L). By using voltage patch clamp, Na+-Ca2+X current is measured in guinea pig ventricular myocyte, from that density of Na+-Ca2+X is to be found, 250 to 400 Na+-Ca2+X/μm2 . Na+-Ca2+X current (INaCa) at level [Ca2+]o = 0.50mM, Na+-Ca2+X mechanism of Ca2+ ions removal is very quickly, why because Calcium Induced Calcium Release (CICR) process does increase the cytosolic Ca2+ concentration very early. Enhanced activity of Na+-Ca2+X or increased Na+-Ca2+X channel current reduces the Action Potential (AP) and AP Duration (APD), and triggers rapid firing within cardiac pulmonary veins. Minimum intracellular calcium levels in SR is responsible for systolic dysfunction in failure heart. Similarly it increases the inward Na+-Ca2+X current, life threatening arrhythmias like DAD happen by sudden release of calcium in SR. Finally increased or enhanced or hypertrophy conditions of Na+-Ca2+X is produces EAD and DAD.
Nurse Implemented Algorithm for Nutritional Support (NIANS) on nutritional status among patient with enteral feeding in critical care unit
Authors: Angelline А.K. , Keerthana K.
Published: April 2023

Introduction: Nutritional support is a fundamental component of holistic patient care in the intensive care unit (ICU) and therefore warrants diligent consideration. Critically ill patients are at a higher risk for developing malnutrition due to nature of their illness and their hyper-metabolic state. Enteral nutrition is most efficient nutritional support method in intensive care unit. The aim of the study is to improve nutritional status by using designed nutritional algorithm to implement the care of patients in intensive care unit. Method: The current randomized control trial was performed in critical care unit of MGMCRI, Puducherry. Using simple random sampling method, 70 enteral feeding patients were selected and randomly divided into control (n=35) and experimental (n=35) groups. Control group received routine diet. Experimental group received Nurse Implemented Algorithm for Nutritional Support (NIANS) for 7 days. Demographic variables, clinical variables and NUTRIC score were equally assessed in both control and experimental group. Data were analyzed using SPSS software version 13. Results: After intervention, there was a significant difference in the nutritional status in experimental group. However, this difference was not significant in the control group. Conclusion: results indicated that using a follow-up NIANS had a positive effect on nutritional status of patient with enteral feeding. It is recommended that further studies to minimize the risk of malnutrition and improve the better clinical outcome of the patients in critical care unit.
Problematic aspects of polypragmasia in the development of multimorbidity in elderly and senile patients
Authors: Davudov R.K. , Glukhova S.A. , Misikova Z.G. , Vishnyakova V.O. , Dudchenko E.S. , Yarkov V.N.
Published: April 2023

It is known that is an ambiguous phenomenon in medicine. There is no generally accepted definition of the concept, and approaches to the interpretation of the essence of the category in question are also different, since polypragmasia, being vital for certain diseases, can become extremely dangerous in certain conditions of the human body, as well as negatively affect the health of patients of certain age groups. In particular, elderly and senile patients, often in a state of comorbidity or polymorbidity and taking a significant amount of medications (both prescribed by a doctor and without one), are at risk of a possible deterioration in their health. Accordingly, the identification of problematic aspects of polypragmasia in the development of comorbidity in elderly and senile patients, as well as the identification of ways to reduce the negative impact on the state of health of extended drug therapy is quite relevant in modern conditions.
Level of Stress and Perceived Social Support among Women Seeking Infertility Treatment: An Exploratory Study
Authors: Jagadeeswari J. , Lokeswari S. , Priyadarsini A. , Cecyli C. , Jency J.J.
Published: April 2023

Infertility is frequently a secret battle, and depressive symptoms are more common in infertility patients than in cancer patients. Around 60–80 million couples worldwide have infertility, which has a wide range of effects on many different dimensions. Despite this, it is progressive in nature. Traditional conceptions of reproductive awareness included understanding of female anatomy and physiology and how it relates to family planning, as well as the possibility that couples might be somewhat exposed to the causes of infertility. The present study aims to assess the level of stress and perceived social support among women seeking infertility treatment. A quantitative approach with exploratory design was used to conduct the study at selected infertility clinic, Saveetha Medical College &Hospital with the sample size of 60 using non probability purposive sampling technique. The demographic and clinical variables of the women were collected by semi-structured questionnaire. The perceived stress scale “BDI” was used to evaluate the level of stress the and Multidimensional scale of perceived social support “MSPSS” was used for determination of perceived social support. The results the study revealed that the mean score of stress among women seeking infertility treatment was 20.97±6.85 and the mean score of perceived social support was 3.72±1.43. The Correlation value of r = -0.447 shows a mild negative correlation which was found to be statistically significant at p<0.05 level. This clearly infers that when the perceived social support among women seeking infertility treatment increases their stress level decreases. Although the infertility clinic has formal requirements for psychological counseling for infertility patients, there is acknowledgement that incorporating psychological interventions into routine practice at ART clinics is beneficial.
A study to assess the physiological and biochemical effects of online gaming among children
Authors: Xavier L. , Shalini T.
Published: April 2023

AIM: the present study aims to assess the physiological and biochemical effects of online gaming among children at veepampattu. METHODS AND MATERIALS: A quantitative research design was used for the present study. A total 60 samples were collected using convenience sampling technique. The demographic variable was assessed by structured questionarie, and pretest, posttest of physiological and biochemical effect was assessed by monitoring the blood pressure and blood glucose levels and samples were exposed to cognitive reconstructive therapy followed by that data was gathered and analyzed . RESULTS: the results the study revealed that there is a significant association between level of physiological effect with selected demographic at the level of p<0.01 conclusion: Thus, the present despites that factors associated with level of physiological effect with selected demographic.
Assess the Association between Sleep quality and Glycemic control among patients with diabetes mellitus
Authors: MaryMinolin T. , Divya S.
Published: April 2023

Diabetes Mellitus is one of the most serious health problem that arise from poor sleep quality. Objectives of the study were to assess the level of sleep quality and glycemic control among patients with diabetes mellitus. To establish a relationship between sleep quality and glycemic control among patients with diabetes mellitus and to associate the level of sleep quality and glycemic control among patients with their selected demographic variables.A descriptive study was conducted among 100 diabetic patients at SMCH, Thandalam Chennai. Subjects were selected using purposive sampling. Data were collected by using Tool 1: Structured Questionnaire and Tool 2: Pittsburgh Sleep Quality Index and Tool 3: Recent HbA1C Scoring. The result of the study found that there is a borderline significance in the mean score of HbA1c was 6.02±0.92 and the mean score of sleep quality was 9.32±3.68. The calculated Karl Pearson’s Correlation value of r = 0.416 shows a moderate positive correlation between HbA1c and sleep quality which was found to be statistically significant at p<0.001 level. This clearly infers that when HbA1c increases among increases then the sleep disturbances among patients with diabetes mellitus also increases.
Estimating the levels of β HCG during second trimester to alert hypertensive disorders of pregnancy
Authors: Kala B.S. , Sruthi R.P. , Padmapriya D.
Published: April 2023

ding Author principalnursing@saveetha.com ABSTRACT Back Ground: The current study aims to estimate the levels of β HCG among antenatal mothers during second trimester to alert hypertensive disorders during pregnancy. Methods And Materials: The quantitative approach with prospective cohort study was conducted in the host institution of Saveetha Medical College And Hospitals. A total of 100 study participants were recruited using purposive sampling technique based on the inclusion criteria, the demographic and clinical data was collected by using a self-structured questionnaire and the levels of serum βHCG was estimated during13-26 weeks and the development of gestational hypertension was monitored for all the study participants by following them till 27-38 weeks of gestation Results: The outcome of study results identified that, the mean score of serum β-HCG levels was 99784.51±168540.29.The minimum score was 34765.0 and the maximum score of 1383678.0. The median was 69056.0. Majority of second trimester mothers with elevated Serum β-HCG levels had an elevated levels of proteinuria, systolic and diastolic pressure associated with pedal edema during their third trimester of pregnancy. Conclusion: This study demonstrates a positive association between increased second trimester Serum β-HCG levels and hypertensive disorders during pregnancy.
Effectiveness of apple cider vinegar on reduction of hyperglycemia among diabetic clients
Authors: Padmapriya D. , Venugopal S. , Logambal K.
Published: April 2023

BACKGROUND: As the prevalence of diabetes is high in the current scenario, globally it is very much essential to control diabetes as a nurse working in the medical profession. Apple cider vinegar has been proven to have beneficial effect in reducing hyperglycemia.. PURPOSE: The current study aims to evaluate the effectiveness of apple cider vinegar on reduction of blood glucose level among diabetic clients. MATERIALS AND METHODS: A quasi experimental pre-test and post test control group was conducted in the host institution of Saveetha Medical And Hospitals. There were 50 diabetic clients recruited using purposive sampling technique based on the inclusion criteria and the clients were divided into 2 groups, 25 in experimental group and control group respectively. A self-structured questionnaire method was used to collect the demographic and clinical data. The pre-test level of blood glucose was estimated in the laboratory. Followed by that, apple cider vinegar oral supplementation was given for one month of about 15ml once a day for the study participants in the experimental group and the study participants in the control group were continued with their own medications and the post-test level of blood glucose were reassessed after one month in both the groups. RESULTS: The results revealed that, pre-test mean score of fasting blood sugar is 159.36 with standard deviation 81.37, in post-test mean score 122.28 with SD 53.66, calculated paired t test value t= 4.501 at level of p<0.001. The pre-test mean score of post prandial sugar is 248.44 with standard deviation 102.05, in post-test mean score 187.36 with SD 57.28, calculated paired t test value t= 3.983 at level of p< 0.001. This clearly infers administration of apple cider vinegar was found to be effective in reducing blood glucose among diabetic clients.
A study to assess the knowledge on anemia and adherence to iron folate supplementation among antenatal women at a selected hospital in Chennai
Authors: Saranya P. , Subramaniam A. , Ramalingam P.
Published: April 2023

Objectives: To assess the knowledge on anaemia among antenatal women. To determine the adherence to iron folate supplementation among antenatal women. To identify the relationship between knowledge on anaemia and adherence to iron folate supplementation and to determine the association between knowledge and adherence with the selected background variables of antenatal women. Research Design: A descriptive cross sectional study design was used for this study. Methods: The target population of the study was antenatal women who completed 32 weeks of gestation and accessible population was antenatal women attending the outpatient department, SRH. The purposive sampling technique was used to select 240 antenatal women for the study. The instruments used for the study were standardized Morisky Medication Adherence Scale to determine the adherence to iron folate supplementation among antenatal women. In addition the investigator developed a structured questionnaire to collect data regarding background variables of the antenatal women and to assess the knowledge on anaemia among antenatal women. Interview technique was used to collect data from the antenatal women. Descriptive and inferential statistics (ANOVA, independent t’ test, correlation co-efficient, and multivariable logistic regression) were used to summarize the data. The 0.05 level of significance was used.xiii Major findings: 47.89% (113) of antenatal women had inadequate knowledge and 52.11% of antenatal women had moderately adequate knowledge. None of them had adequate knowledge on anemia. Most (63.1%) of the antenatal women had moderately adequate knowledge in the aspect of nature of the disease. In the aspect of investigation and treatment, half of the antenatal women (55.1%) had moderately adequate knowledge. In the area of prevention control and complications, 79.7% of antenatal women had inadequate knowledge. Nearly half of them (48.8%) had poor adherence to iron folate supplementation, 39.4% of them had fair adherence, only few (11.8%) had good adherence. The reasons for non adherence were: forgot to take pills (83.9%); frustration (48.7%); taste difference (45.8%); experience of side effects (27.5%). There was a statistically significant association between the knowledge on anemia and the demographic variables such as age, education and monthly family income (p< .01, p< .001). There was a statistically significant association between the adherence and maternal variable of the antenatal women such as hemoglobin level during the first trimester, after completion of 32 weeks of gestation and percentage of procurement of iron tablets.
Texture analysis for skin cancer diagnosis using dermoscopic images
Authors: Nishad N. , Meenakshi R. , Ramakrishnan R. , Chirputkar A.
Published: April 2023

This paper provides a foundation to examine the dermoscopic images for skin cancer diagnosis. A dermoscopic image will often include textured areas that make up a major amount of the image. It is conceivable to organize and categorize such textures according to whether they are related with artifacts or if they reflect biological structure. Given the connection between structure, disease, and texture, it seems likely that quantitative measurements of texture might make it possible to characterize the tissues included inside a dermoscopic image. It has been shown that texture is a valuable characteristic for the characterization of skin cancer in dermoscopic images. The proposed system is comprised of two stages: the first is the extraction of information or features from dermoscopic images, and the second is the categorization of those images using a decision tree classifier. Based on the findings, it is possible to draw the conclusion that the extracted features have kept all of the information presents in the dermoscopic image that provides an overall accuracy of 98.89%
Biological effect of copper oxide nanoparticles synthesized by Saccharomyces boulardii against of multidrug resistant bacteria isolated from diabetic foot infections
Authors: Mohamed A.H. , Kadium S.W.
Published: April 2023

Objective: In this study, copper oxide nanoparticles are produced using the probiotic Saccharomyces boulardii in order to assess their biological activity. The biological method of producing nanoparticles is gaining popularity due to its benefits over chemical and physical ways of synthesis in terms of affordability and environmental friendliness. Methods: To biosynthesize CuO NPs, copper sulfate was introduced at a concentration to S. boulardii’s cell-free supernatant. Results: The color change of the reaction mixture from light to dark after 150 rpm incubation, as well as the color change and antibacterial behavior, were indicators of S. bularedii’s biosynthesis of CuO NPs. The characterization completed by UV-visible spectroscopy, Atomic force microscopy, Energy Dispersive Spectroscopy, Fourier Transform Infrared Spectroscopy, Scanning Electron Microscopy, and X-ray diffraction (AFM). The CuO NP absorption spectra in the reaction mixture’s UV-visible spectroscopy were (537.93 nm). The XRD showed that CuO NPs’ crystal size was (14.65 nm). The SEM was provided; the shape was uniform and spherical, and the average size (16.03 nm). EDS was used to analyze the presence of elemental CuO NPs. The CuO NPs’ three-dimensional structure was seen by the AFM, and their average diameter was (41.11 nm). The FTIR spectrum reveals a variety of functional groups that are present at various locations. Gram positive and gram negative bacteria that were isolated from diabetic foot infections were multidrug resistant (MDR), and biosynthesized CuO NPs demonstrated antibacterial action against these bacteria (Staphylococcus aureus, Escherichia coli, Klebsiella pneumoniae, Pseudomonas aeruginosa and Proteus mirabilis). In the form of biofilm using a microtiter plate and treated by nanoparticles, all of the examined bacterial isolates demonstrated their capacity to form biofilm. The harmful bacteria when treated with CuO NPs this capacity was inhibited and eradicated. The concentrations of CuO NPs (1 mg/ml, 0.5 mg/ml, 0.25 mg/ml, and 0.12 mg/ml) revealed their antioxidant activity in vitro by scavenging DPPH free radicals; the mixture of DPPH and biogenic CuO NPs at this concentration had the highest inhibition titer (72.44%).
Showcasing Gender on Indian Children’s TV Cartoon Programming – Perspectives of Media Professionals
Authors: Jaggi R. , Duara A.
Published: April 2023

The current research study aims to address the representation of gender in animated content on children’s TV in India through the lens of political economy by understanding the perspectives of media experts. The discourse generated by capturing viewpoints of media experts who represent different roles and functions in the children’s media ecosystem will be critical in shaping a holistic overview. States that there is a considerable gap in academic investigation and scholarship that global production practices in children’s TV landscape. India, in particular, does not have an excellent scholarship to discuss children’s TV in India. This research paper aims to address the more significant gap to contribute to generating academic knowledge on children’s TV in India with particular reference to gender representations and the specific opening of analyzing industry practices in the domain through the discourse emanating from the industry experts as well as critical social and academic experts.
Efficacy of the Reformative Theory of Punishment in India
Authors: Yajurvedi D. , Hake D.
Published: April 2023

Most of the criminal justice systems worldwide adopt the reformative tools and techniques with the prime object to introduce reformation in convicts instead of using age-old coercive techniques. The Indian criminal justice is not an exception to this. Indian criminal jurisprudence believes in the reformative theory of punishment where the criminal shall be treated with as much goodwill and humanity as a normal citizen. It believes in the capacity of a person to change and usually holds the surroundings responsible for influencing a specific type of deviant behavior. The intention is to review whether reformative theory also counts as a form of ‘punishment’ or is a mere form of intervention. If the same qualified as the latter, then whether the same is conclusive? Attempts at social integration for the criminals may be successful, provided there is readiness on behalf of both the parties involved. The rate of success in India is adjusted due to external factors such as lack of education, population explosion, and social morality. The collateral impacts of recidivism are something that needs to be studied to the cause of rehabilitative theory. Further, in this paper, researchers have reviewed the efficacy and various facets of the reformative theory of punishment.
An Assessment of Talent Management and Talent Engagement Strategies for Indian Industries - Orientations Revisited In COVID-19 Crisis
Authors: Anwer S. , Chitrao P.
Published: April 2023

New approaches and methods would redefine the global corporate and economies as the pandemic has struck the world. India has been under lock down for the last four months is still pondering its ways and means to handle this challenge effectively. With profits plummeting and businesses in chaos, the entire business community has to rise to the occasion to face this mammoth problem. This research attempts to study the challenges and issues that are hampering effective talent management for talent retention during this pandemic. The solution lies in effective coordination with employer and employee with talent management and retention practices. This study is quantitative and empirical while being exploratory and conclusive. The study intends to explore the dimensions of talent management and talent retention practices for Indian Inc. In this study, stratified random sampling was done, and 100 employees, who work in Indian corporate from various states was, administered a questionnaire. The collected data were analyzed using SPSS, correlation, regression, and confirmatory factor analysis. It was found that family and family priorities occupy the employee’s mind during these COVID-19 times. The organizational policies and frameworks must orient so that the employee’s health and safety are the top priorities. The modified work environment, work culture, and priorities would help in employee retention. An empirical framework is also provided for Indian enterprises on talent management and retention after the COVID-19 pandemic.
Biosynthesis of zinc oxide nanoparticles using saccharomyces boulardii and study their biological activities
Authors: Mohamed A.H. , Kadium S.W.
Published: April 2023

Objective: Saccharomyces boulardii, a probiotic, is used in the current study’s manufacture of zinc oxide nanoparticles with the aim of assessing their biological activity. Due to its advantages over the chemical and physical techniques of synthesis in terms of affordability and environmental friendliness, the biological way of creating nanoparticles is becoming increasingly relevant. Methods: Zinc acetate was added at a dose necessary to biosynthesize ZnO NPs from S. boulardii’s cellfree supernatant (1 mM). Results: An evidence that S. bularedii was responsible for the reaction mixture’s color change from light to dark after 150 rpm of incubation was the color change and antibacterial behavior. Atomic force microscopy, scanning electron microscopy, energy dispersive spectroscopy, ultraviolet-visible spectroscopy, and X-ray diffraction (XRD) all contributed to the completion of the characterisation (AFM). The spectra of the ZnO NPs produced in the reaction mixture using UV-visible spectroscopy were (343.75 nm). The XRD showed that ZnO NPs’ crystal size was (13.31 nm). The SEM was provided; the shape was uniform and spherical, and the average size (24.61 nm). EDS was used to analyze the presence of elemental ZnO NPs. ZnO NPs’ three-dimensional structure was seen using AFM, and their average diameter was (62.89 nm). The FTIR spectrum reveals a variety of functional groups that are present at various locations. Gram positive and gram negative bacteria that were isolated from diabetic foot infections were multidrug resistant (MDR), and biosynthesized ZnO NPs demonstrated antibacterial action against these bacteria. (Staphylococcus aureus, Escherichia coli, Klebsiella pneumoniae, Pseudomonas aeruginosa and Proteus mirabilis). All of the studied bacterial isolates showed the ability to produce biofilms in the form of nanoparticle-treated biofilms on microtiter plates. When pathogenic bacteria were treated with ZnO NPs, this ability was stopped and eliminated. The ZnO NPs (1 mg/ml, 0.5 mg/ml, 0.25 mg/ml, and 0.12 mg/ml) demonstrated their antioxidant ability in vitro by scavenging DPPH free radicals. The combination of DPPH and biogenic ZnONPs at concentration 1 mg/ml showed the highest inhibitory titer (73.79%).
Impact of pandemic on women’s purchase decision for feminine hygiene products: a Covid-19 lockdown perspective
Authors: Shukla S. , Sanjeev R.
Published: April 2023

The uncontrolled spread of the COVID-19 pandemic has forced nations to shut their borders and impel the lockdown. Although the pandemic has affected the nations economically and socially, the nationwide lockdown has also dramatically affected the supply and demand for feminine hygiene products. It became interesting for the researcher to investigate the effect of COVID-19 lockdown in the purchase decision, availability, and perception of women for feminine hygiene products. The study was conducted employing a quantitative approach. A self-administered questionnaire was used to elicit responses from females using a convenience sampling technique and interpret the data ordinal logistic regression method. The findings of this study indicated that within the lockdown period, females with consistent income started buying a slight high quantity of feminine hygiene products so that they can store them for an emergency; it has also been seen that they find it difficult to shop for these products from the stores as in the initial period of lockdown as these products were not put into essential item list. So shortage was noted. However, females observed these products as important products for storage; This study will assist the policymakers and private ownerships in better insight into females’ attitudes toward feminine hygiene products and provide timely resources and services to the affected population during a pandemic situation.
Psychological contract factors affecting organizational citizenship behavior in blended workforce: a multi-industry study
Authors: Das S. , Bhattacharya S.
Published: April 2023

Today’s organizations give rise to a blended workforce, which consists of a healthy mixture of permanent and gig employees. The contractual employees are engaged with the organization until the project’s lifecycle they are working in lasts, post, which they scavenge for a new gig. Despite staying with the company for a defined period, they, like their permanent counterparts, enter into informal and implicit contracts with their employers, known as psychological contracts, involving a voluntary behavior by the employee, known as Organizational Citizenship Behavior (OCB). This paper seeks to identify the psychological contract factors that differentiate the OCB of the gig and permanent employees. A representation of permanent and gig workers was taken from three different industries, namely IT, Manufacturing, and Educational Institutes, and a questionnaire was administered to employees belonging to these sectors. The results were generated utilizing qualitative analysis in Excel. The study results indicate different psychological factors playing a role in determining the various OCBs of gigs and full-time employees in all the three selected industries in the study.
An exploratory study on the work from home for the first time by school teachers during covid-19 pandemic
Authors: Gupta S. , Bharathi S.V.
Published: April 2023

The pandemic COVID-19 has brought a significant shift in the working pattern in all the sectors, and it has brought up a trend of working from home. Each domain and sector is going virtually to prevent social contact with others. Since the last few months, there have been many changes in different industries, among which the schools and colleges are the ones who have never thought of switching everything virtually this early. This research focuses on school teachers who are conducting online classes and working from home for the first time in their teaching career. There are 101 responses collected through direct conversation, and questionnaires floated through different platforms. While working from home, teachers are juggled with their daily routine household work, preparing and conducting online sessions, and assessing them. There is a significant impact on students’ learning ability and productivity while attending classes. However, not everyone goes through the smooth process of both the student’s and the teacher’s part. There are challenges faced in the availability of proper infrastructure, teaching methods, and productive learning. If the work from home strategy were executed correctly, not in a rush due to the pandemic, it would have been easier for everyone to work more efficiently.
Forecast covid-19 cases and fatalities to help understand what drives transmission rate in Tamil Nadu – India
Authors: Chaurasia R. , Kalke P.
Published: April 2023

A newly emerged human Covid-19 virus from Wuhan, China caused by SARS-Cov2 having 96.1% similar genomic sequence as that of a bat has resulted in global pandemic and adversely affected the healthcare sector in terms of management, manpower, planning. The findings can be used to help the healthcare sector with better pandemic management and identify the root causes and the factors affecting the transmission rate of covid-19 cases. The study focuses on: i) Forecasting covid-19 cases, ii) to study relationship of temperature, density, lockdown, and seasonal factor on the covid-19 transmission rate, iii) how forecasting will help in terms of managerial aspects. The method used to forecast covid-19 cases was data visualization of secondary data accessed and gathered from Kaggle by using Tableau as a tool. It was done by establishing multiple connections; comparing temperature, density, lockdown and seasonal factor individually with covid-19 cases and its effect on the viral transmission rate. Density is found to be independent of transmission rate, which is affected by temperature, seasonal factor & lockdown. The rate was less at higher temperatures and under a complete lockdown imposed on the State. Healthcare workers will have a better hold in the management henceforth with creative patient consideration approaches like customized medical coverage, clinical choice supportive networks and better resource planning with the forecasted data of Covid-19 cases.
An effective disaster recovery model in supply chain management at times of pandemic
Authors: Behera A.K. , Ramanathan K.
Published: April 2023

An automated model representing communicating states for a given moment in actual time is theorized in an Automated Supply Chain Dual (SC). When handling instability threats in SCs, we look at the circumstances surrounding the architecture and deployment of the digital twins. Combining models with data-driven methods show interrelationships between data risk, modeling disturbances, and performance evaluation. Digital network networking maps are distinctly visually illustrated by the SC blow and modifications amidst the COVID-19 pandemic, along with the after-event recovery method. The findings of this research complement SC risk management’s science and experience by enriching forecasting and corrective findings to exploit the merits of SC modeling, quantitative predictive data, and evidence of disruptions in real-time. The supply chains have been severely impacted by the recent coronavirus pandemic, known as the COVID-19 outbreak. Due to supply failure, demand for certain items has increased significantly, while raw materials supply required to produce those items has decreased; therefore, to address these issues, this paper proposes some strategies for improving service levels for the most sought-after products, such as toilet paper, during a severe pandemic, such as COVID-19.
Diagnostics of coronary blood flow: advantages of using the cardiometric method
Authors: Rudenko M.Y. , Berseneva I.А. , Bersenev E.Y. , Deberdeev M.P. , Chepiga A.O.
Published: April 2023

The article discusses the features of the diagnosis of coronary blood flow using the cardiometric method. Diagnosis of coronary blood flow is of great importance in cardiology. The causes of incomplete filling of the coronary arteries with blood are considered, criteria for rechecking the correctness of the diagnosis of the functioning of the coronary blood flow, including amount of lactate, stress index and type of adaptation reaction, are identified. A possible therapy for the early stage of reducing the blood filling of the coronary arteries is given.
The Impact of COVID-19 on Online Fashion Apparel Purchase Intention
Authors: Abhinav A. , Singh D. , Debgupta S. , Bhoyar P.K.
Published: April 2023

The purpose of this study is to determine the influence of Covid-19 on the intention to purchase online fashion clothing. A structured questionnaire was used to collect data from 231 customers in an online survey. The researchers utilised exploratory factor analysis to uncover the most important elements that influence customer behaviour while purchasing online fashion items. Multiple regression study revealed that situational variables, practical motive, and safety and precaution had a positive and substantial influence on customers’ online buy intention for fashion items. Hedonic incentive, on the other hand, had a minor impact, despite being beneficial on purpose. A structured questionnaire was shared with the respondents for data collection. The Questionnaire was floated between individuals who purchase fashion apparel online. The questions assessing the four predictors were first subjected to an exploratory factor analysis. Second, multiple regression was used to determine the influence of these variables on online purchase intentions among customers.
Biodiversity and Problems of Auditing Wildlife in General and Snakes in Particular
Authors: Joshi A. , Ranade M.
Published: April 2023

Background: Biodiversity is one of the proud domains of any country in the world. Wildlife as a whole is one of the greatest contributors to the environment worldwide in the human race. It is known as one of the vital assets of all countries of the world. Protecting wildlife is also synonymously used as protecting the future of the earth and humanity by researchers worldwide. It becomes essential in the changing environment to give more attention to the conservation of wildlife. There seem many inherent problems in protecting wildlife, and it is very difficult to deal with these problems. One of the needs is to address the problems of audit and audit ability of wildlife in general and snakes, particularly in India. We need data and facts for auditing. Can this be done with ‘counting snakes? (Interesting / chilling /challenging?) The management and governance problems even with the controlled environment like reserved forests from audit perspective for the bodies like forest department of the country and government agencies like “Zoological Survey of India (ZSI)/Botanical Survey of India (BSI),” etc. How difficult is it to count animals? Especially snakes? Almost impossible. Needs innovative approaches to solving these problems.
The Factors Impacting Work-Life Balance Amidst Covid-19
Authors: Dewan A. , Mehendale S.
Published: April 2023

COVID-19 crisis has changed the way we work. Work-fromhome, which was a possibility in some sectors, has become a compulsion for all, which has affected the work-life balance of working professionals. Depending on where the employees are working, the office hours have noticeably increased by one to five hours longer as this supplementary time is spent in conferences and follow-ups, or an endeavor to improve productivity, or just being unaware of the time as there is no clear boundary that exists between work and life now. During this unprecedented time, the augmented center of attention should be towards the welfare of the employees and the acknowledgment, recognition, and acceptance of the fact that work and personal/ family needs will overlap. This paper intends to investigate the various factors impacting work-life balance during the lockdown imposed by the government in light of the coronavirus, which is spreading at a rapid pace. Key insights were obtained by conducting a factor analysis and extracting four main factors, which have been explained further below. Data was collected from 225 employees across India belonging to various sectors. The findings of this study can be a crucial contributor to organizations by taking inputs. Then this prescience will help organizations to be prepared during unforeseen events by further refining their policies to benefit their employees.
Intrapreneurship Way Forward for Keeping Entrepreneurial Spirit Intact Post-COVID-19
Authors: Patil V. , Ambekar S. , Hudnurkar M.
Published: April 2023

COVID-19 pandemic is far more than just the health crisis. After the Great Depression, the dot-com bubble, and the 2008 financial crash, we are staring at the biggest challenge for the economy. No industry has been spared from the brunt of this pandemic. The start-up sector is bleeding and has undoubtedly taken the hardest hit. With nine in ten start-ups registering decline, over third halting operations temporarily or permanently, this is an unprecedented downturn in the global economy. The aftermath of this crisis will be a long-term impact on the mindsets, attitudes, perceptions, and behaviors of entrepreneurs and those who want to leap into entrepreneurship. We should look at this situation as the new playing field and bounce back with renewed hope of recovery. Industry analysts suggest adopting intrapreneurial traits to instill the confidence back and keep the entrepreneurial spirit intact. Intrapreneurship is one of the ways of catalyzing recovery with sustained innovation and a competitive edge. This analysis aims to correlate the key attributes such as risk-taking, proactiveness, and autonomy in intrapreneurship with sustainable environmental, economic, and social innovation.