Work and Fertility Linkage in Women: A Study in Bhubaneswar City

The present paper investigates the causal links between income, education, age at marriage and work hours with fertility in the city of Bhubaneswar. Data for the present study was collected through personal interviews from two samples of 70 working women each. The analysis revealed that fertility of working women was explained by own income, family income, education of the respondents, hours of work and age at marriage. Results also revealed that education of the respondents, age at marriage and income had negative relation with the fertility of working women whereas work hours was found to have a positive relation

Work and Fertility Linkage in Women: A Study in Bhubaneswar City

The present paper investigates the causal links between income, education, age at marriage and work hours with fertility in the city of Bhubaneswar. Data for the present study was collected through personal interviews from two samples of 70 working women each. The analysis revealed that fertility of working women was explained by own income, family income, education of the respondents, hours of work and age at marriage. Results also revealed that education of the respondents, age at marriage and income had negative relation with the fertility of working women whereas work hours was found to have a positive relation

Fortune of smart-phones by A model recommendation

In recent market, there are several cell phones available, Smart phones differ based on their Operating system. Here we are going to do a comparison between two Operating systems i.e., “IOS and ANDROID”. The comparison starts including the basic features of smart phones. The features are varying from each other. Some of them are categorical and some are numerical. According to these data, classify the smart phones using machine learning classification model. After the classification we are going to analyse which operating system-based Smartphone will be taken for further classification. A “Recommendation system”, will be designed which recommend a better smart phone to the customer. In market a lot of smart phones are available, which are of different companies but with same cost. From classification model we will find which set is more affordable with good combination of features. Further Recommendation model will help us to find which model will be the best model according to the customer requirement and budget. On the basis of customer requirement that is what are the features and price of the phone our model is going to predict which model will be more suitable and gives the solution in a form of recommendation. It will give us the exact phone, which is having all the features and also pocket friendly

FORECASTING THE TIME DELAY IN DELIVERY OF PHARMACEUTICAL PRODUCTS

Supply chain management system is a centralized system which controls and plans the activities involved from production to delivery of a product. Disruption in treatment and loss of life occurs due to delay in delivery of pharmaceutical products. The objective is to do a model using Machine learning algorithms to determine: Classification to predict which product will be delayed and Regression shows how much time it will be delayed exactly. This study will use publicly available supply chain data which helps to identify primary aspect of predicting whether HIV drugs are delivered in time or not. It will then use these factors to predict how long delays are likely to be, thus allowing HIV/Supply Chain program managers to know details of the products which are going to be delayed and quantify the exact delay. and how much it will be delayed. so that they can take mitigating action to save lives and avoid additional supply chain costs. We will use Machine learning prediction model to predict which product will be delayed and regression model shows how much time it will be delayed exactly

Bioefficacy of Bacillus subtilis against root knot nematode Meloidogyne incognita (Kofoid and White) Chitwood in tomato

An investigation was conducted for the management of root knot nematode Meloidogyne incognita (Kofoid and White) Chitwood infesting tomato through the application of bio-control agent like Bacillus subtilis, Trichoderma harzianum and Pseudomonas fluorescens. Experiment result revealed that minimum no. of galls/25seedlings (17.50) and maximum seedling height (27.6cm) were observed in Bacillus subtilis @50g/m2 in nursery bed + B. subtilis @ 5kg along with 2.5 tons of FYM/ ha. The highest weight/25seedlings (69.50g) was noticed in the B. subtilis @50g/m2 in nursery bed + B. subtilis 2.5kg along with 2.5 tons of FYM/ha. The highest growth of the plant at 45 DAT (49.2cm) and at harvest (81.2cm) and maximum fresh (711.3g) and dry weight (265g) was found in B. subtilis @50g/m2 in nursery bed + B. subtilis 2.5kg along with 2.5 tons of FYM/ha. B. subtilis @50g/m2 in nursery bed + B. subtilis 2.5kg along with 2.5 tons of FYM/ha exhibited lowest gall index (1.2/plant) and highest reduction of nematode population and provided highest yield of tomato fruits (335.75q/ha)

MEMORABLE TOURISM EXPERIENCES (MTE): INTEGRATING ANTECEDENTS, CONSEQUENCES AND MODERATING FACTOR

Purpose - The concept of tourism as an experience is gaining interest among practitioners and academics alike. This study contributes to the tourism literature by integrating the antecedents and outcomes of memorable tourism experiences (MTE) and consumer-level factors as moderators into a single model. Design - The study applies primary survey using structured questionnaire. The study hypotheses are empirically tested based on survey data of 700 tourists (both domestic and foreign) in India. Methodology - The data collected is analyzed using structural equation modeling. The model also includes the moderating role of tourists’ openness to experience. Findings - Findings show a positive impact of destination attributes on MTE. MTE is observed to positively affect its immediate outcomes, perceived value and satisfaction from tourism experiences. Subsequently, satisfaction has a positive effect of loyalty and word of mouth (WOM), but perceived value affects only on word of mouth. Openness to experience moderated the impact of destination attributes on MTE. Originality - The study makes new theoretical and managerial contributions. The study is one of the first of its kind to integrate the antecedents and outcomes of MTE in a single study. Moreover, the study also considers the moderating influence of tourist personality in the same study

An observational study on extraperitoneal caesarean section in present era

Background: This study was designed to find out the maternal and perinatal outcome in cases of extraperitoneal caesarean section. Total 100 women undergoing extraperitoneal cesarean section were included in the study.Methods: A detailed history taking, examination done and intra and post-operative parameters as per protocols were noted.  Results: Success rate of extra peritoneal CS was 79.63%, Time taken from incision to delivery was ≤5 minutes in 60% cases, time taken from incision to closure was between 31-45 min in 67% cases, blood loss ≤500 ml in 58% cases, return of bowel function between 5-8 hours in 52%, mobilization within 24 hours in 52%, neonatal one minute APGAR score ≥7 in 90.91%.Conclusions: Extraperitoneal cesarean section can be applied as a surgical form of infection prophylaxis.Since it possesses a rational basis for the avoidance of serious post-operative pelvic infectious complications, this operation deserves reconsideration in the modern era

PREVALENCE OF VULVOVAGINAL CANDIDIASIS IN SEXUALLY ACTIVE FEMALES WITH ANTIFUNGAL SUSCEPTIBILITY PATTERNS OF THE ISOLATES

Introduction: Vulvovaginal candidiasis (VVC) is the most common fungal infection of lower genital tract of females. It is an important cause of morbidity in young women due to its increasing incidence and is considered as an important public health problem worldwide. In recent years there has been a change in the trend of infections caused by non-albicans Candida species and anti-fungal susceptibility patterns. This study was carried out to assess the prevalence, potential risk factors and detect the antifungal susceptibilities of the isolates. Methods: A prospective study was conducted in a tertiary health centre of southern Odisha from January 2016 to December 2017and included 240 clinically diagnosed cases of VVC in the reproductive age group presenting with curdy white discharge with or without pruritus, burning, or dysuria. After getting an informed consent and brief history, vaginal swabs were collected and microscopic examination, culture and antifungal susceptibility were done. Results: Most common age group affected by VVC belonged to 26-35 years and majority of the cases were from rural areas. A total of 87 Candida species (36.3%) and, 4 Trichosporon asahii were isolated. Candida albicans was the most common isolate (52), followed by Candida glabrata. Most of the isolates were sensitive to clotrimazole (90.1%) followed by fluconazole (83.5%). Conclusion: The prevalence of VVC in our study was found to be 36.3%. Low socioeconomic status, low education, oral contraceptive pill users and Diabetes were the common predisposing factors. The most common agent causing VVC was Candidia albicans followed by Candida glabrata. Most of the yeasts isolated were sensitive to Clotrimazole followed by fluconazole. Keywords: Candida; Vulvovaginal candidiasis; Antifungal susceptibility

PREVALENCE OF VULVOVAGINAL CANDIDIASIS IN SEXUALLY ACTIVE FEMALES WITH ANTIFUNGAL SUSCEPTIBILITY PATTERNS OF THE ISOLATES

Introduction: Vulvovaginal candidiasis (VVC) is the most common fungal infection of lower genital tract of females. It is an important cause of morbidity in young women due to its increasing incidence and is considered as an important public health problem worldwide. In recent years there has been a change in the trend of infections caused by non-albicans Candida species and anti-fungal susceptibility patterns. This study was carried out to assess the prevalence, potential risk factors and detect the antifungal susceptibilities of the isolates. Methods: A prospective study was conducted in a tertiary health centre of southern Odisha from January 2016 to December 2017and included 240 clinically diagnosed cases of VVC in the reproductive age group presenting with curdy white discharge with or without pruritus, burning, or dysuria. After getting an informed consent and brief history, vaginal swabs were collected and microscopic examination, culture and antifungal susceptibility were done. Results: Most common age group affected by VVC belonged to 26-35 years and majority of the cases were from rural areas. A total of 87 Candida species (36.3%) and, 4 Trichosporon asahii were isolated. Candida albicans was the most common isolate (52), followed by Candida glabrata. Most of the isolates were sensitive to clotrimazole (90.1%) followed by fluconazole (83.5%). Conclusion: The prevalence of VVC in our study was found to be 36.3%. Low socioeconomic status, low education, oral contraceptive pill users and Diabetes were the common predisposing factors. The most common agent causing VVC was Candidia albicans followed by Candida glabrata. Most of the yeasts isolated were sensitive to Clotrimazole followed by fluconazole. Keywords: Candida; Vulvovaginal candidiasis; Antifungal susceptibility