258 research outputs found

    Yes Bank, PNB crises shows why RBI needs a data-first approach to supervision

    Get PDF

    Failure analysis of fractured dental implants

    Get PDF
    The success and predictability of titanium implants over long periods of time are well established, and there has been a tremendous increase in implant popularity among patients and clinicians over the last four decades. However, complications can occur, resulting in the loss of both the implant and the prosthesis. Dental implant fracture is uncommon; however, implants or abutment screws can fracture and cause significant problems for both the clinician and the patient. Improper design, overload, fatigue, and corrosion are all potential causes of implant fracture. Six retrieved fractured dental implants of varying diameter and thread design were collected on a regular basis to characterize their fracture behavior by SEM and assess the fracture mechanism. The majority of the implants were fractured as a result of fatigue crack initiation and propagation from the thread roots

    Critical Slowing Down at the Abrupt Mott Transition: When the First-Order Phase Transition Becomes Zeroth-Order and Looks Like Second-Order

    Full text link
    We report that the thermally-induced Mott transition in vanadium sesquioxide shows critical-slowing-down and enhanced variance ('critical opalescence') of the order parameter fluctuations measured through low-frequency resistance-noise spectroscopy. Coupled with the observed increase of also the phase-ordering time, these features suggest that the strong abrupt transition is controlled by a critical-like singularity in the hysteretic metastable phase. The singularity is identified with the spinodal point and is a likely consequence of the strain-induced long-range interaction.Comment: 14 pages, 16 figure

    A Study on the Association of Entrepreneurship Ecosystem with Financial Inclusion

    Get PDF
    Purpose: The purpose of this study is to examine the association of entrepreneurship ecosystem with financial inclusion, and to explore the potential ways in which the ecosystem can be leveraged to improve access to financial services for marginalized communities.   Theoretical framework: The study utilizes the ecosystem approach to entrepreneurship, which emphasizes the interdependence and interplay of various stakeholders in the entrepreneurial process. The study also draws on the concept of financial inclusion, which refers to the provision of affordable and accessible financial services to all individuals and businesses.   Design/methodology/approach: The study employs a mixed-methods approach, including a literature review, case studies, and surveys, to collect data from a variety of stakeholders in the entrepreneurship ecosystem.   Findings: The findings suggest that the entrepreneurship ecosystem plays a critical role in promoting financial inclusion. The ecosystem can be leveraged to increase access to financial services for marginalized communities through the development of innovative financial products and services, the creation of mentorship and networking opportunities, and the promotion of policies that encourage financial inclusion.   Research, practical and social implications: The study contributes to the understanding of the relationship between entrepreneurship and financial inclusion, and has implications for policymakers and practitioners seeking to promote financial inclusion through entrepreneurship. The findings can also inform the design and implementation of programs and policies aimed at promoting entrepreneurship and financial inclusion in marginalized communities.   Originality/value: The study is among the first to examine the association of entrepreneurship ecosystem with financial inclusion and to explore the potential ways in which the ecosystem can be leveraged to improve access to financial services for marginalized communities

    Randomized controlled trial: Role of glycerin suppository for promoting feeding tolerance in preterm very low birth weight neonates

    Get PDF
    Background: Feeding intolerance is a common problem in preterm infants delaying establishment of full enteral feeding (FEF). Sustained parenteral nutrition has many disadvantages. To promote feeding tolerance, glycerin suppository is being used. Aims: (a) To compare the efficacy of glycerin suppository versus no intervention in preterm, very low birth weight (VLBW) neonates in achieving FEFs, i.e., 180 ml/kg/day for at least 24 hrs both the groups. (b) Correlation of glycerin suppository with time to regain birth weight, necrotizing enterocolitis, and adverse effects following glycerin suppository. Materials and Methods: The present study is a prospective randomized control trial; study population - 50 VLBW (birth weight between 1000 and 1500 g) or preterm (gestational age between 28 and 32 weeks) neonates randomized to either glycerin suppository group or non-intervention group. Intervention group – glycerin suppository (1 g) once daily from day 2 to day 14 of life or non-intervention along with intermittent oral feeds and standardized care. Results: A total of 58 neonates were assessed for eligibility, 50 randomized to either glycerin suppository group or control group, 19 neonates in both the groups were analyzed for outcome. Mean time to achieve FEFs was 11.57±1.21 days in glycerin suppository group and 11.84±1.25 days in control group which was not statistically significant (p=0.441; RR=0.67; 95% confidence interval=−0.539, 1.079). There was no significant difference observed in secondary outcomes. Conclusion: Prophylactic glycerin suppositories did not reduce the time to achieve FEFs in preterm VLBW neonates in our setting

    Human knee abnormality detection from imbalanced sEMG data

    Get PDF
    The classification of imbalanced datasets, especially in medicine, is a major problem in data mining. Such a problem is evident in analyzing normal and abnormal subjects about knee from data collected during walking. In this work, surface electromyography (sEMG) data were collected during walking from the lower limb of 22 individuals (11 with and 11 without knee abnormality). Subjects with a knee abnormality take longer to complete the walking task than healthy subjects. Therefore, the SEMG signal length of unhealthy subjects is longer than that of healthy subjects, resulting in a problem of imbalance in the collected sEMG signal data. Thus, the development of a classification model for such datasets is challenging due to the bias towards the majority class in the data. The collected sEMG signals are challenging due to the contribution of multiple motor units at a time and their dependency on neuromuscular activity, physiological and anatomical properties of the involved muscles. Hence, automated analysis of such sEMG signals is an arduous task. A multi-step classification scheme is proposed in this research to overcome this limitation. The wavelet denoising (WD) scheme is used to denoise the collected sEMG signals, followed by the extraction of eleven time-domain features. The oversampling techniques are then used to balance the data under analysis by increasing the training minority class. The competency of the proposed scheme was assessed using various computational classifiers with 10 fold cross-validation. It was found that the oversampling techniques improve the performance of all studied classifiers when applied to the studied imbalanced sEMG data. (c) 2021 Elsevier Lt

    A study to assess body mass index and pattern of physical activity among the government employees working at different organizations of Gwalior city

    Get PDF
    Background: The obesity can be defined simply as the disease in which excess body fat has accumulated to such an extent that health may be adversely affected. Physical activity is a key determinant of energy expenditure, and thus is fundamental to energy balance and weight control. Aims and objectives was to assess the BMI and physical activity among government employees working in different organizations of Gwalior city.Methods: The present study was a cross sectional study. Five different government organizations were selected and from each organization 60 participants were selected randomly. A pre-designed, pre-tested, semi-structured interview based questionnaire was used for data collection from different participants. WHO BMI classification was used to classify participants.Results: In the present study 44% of the study participants were overweight/ pre-obese while 8.33% and 1.33% were in Obese Class I and Obese Class II respectively. 40.67% were doing physical exercise. The most common type of physical exercise was walking or jogging 72.13%.Conclusions: It was concluded that despite the known fact that obesity could have negative impact on the work capacity and physical fitness, only 40.67% were doing some physical exercise. Employees should be motivated to do daily exercise for the duration of at least 30 minutes

    Assessment of Nutritional Status and its Determinants among Under-five Children in Urban Slum Areas of Gwalior City, Central India

    Get PDF
    Introduction: Children living in urban slums are vulnerable to malnutrition due to lack of basic health facilities and poor environmental conditions. These make children susceptible to infectious diseases. Data on the correlates of stunting, underweight and wasting specifically among under-five children in central India remain limited, hence the need of this study. Aim: To study the prevalence of underweight, stunting, and wasting with its predictors in under-five children living in slum area. Materials and Methods: It was a community-based crosssectional study, carried out from March 1, 2018 to February 28, 2019, slum area of Gwalior City, using multistage sampling. Study subjects were under-five children residing in urban slums. Data collection was done by conducting house to house survey and information was recorded in pre-designed questionnaire. Mean, Standard Deviation (SD), frequency and percentage were calculated. Logistic regression was applied to calculate Odds Ratio (OR, 95% CI). Data was analysed using version Statistical Package for Social Sciences (SPSS) -16. Results: A total of 550 children (257 boys, 293 girls) under-five years of age were included in the study. The overall prevalence of underweight was 49.1%, stunting was 58.2% and wasting was 23.5%. The risk of underweight, stunting and wasting was less among others caste category (OR:0.42,0.27,0.49). The risk was higher among children living in nuclear family (OR:1.86,1.78,1.72), with illiterate mother (OR:6.47,4.87,3.53), with Illiterate father (OR:4.60,3.65,1.99) and also among people living in kuccha house and using wood as medium of cooking food. Duration of breastfeeding, complementary feeding only, timing of initiation of complementary feeding and birth weight emerged as other significant predictors for underweight, stunting and wasting. Conclusion: Children with low birth weight, belonging to lower socioeconomic class, living in nuclear families and having illiterate parents require special attention and focus. Parents should also be careful in reference to their children’s complementary feeding and duration of breastfeeding
    • …
    corecore