A Study of Sexual Harassment of Women at Workplace Environment

Today's culture has made sexual harassment both a hobby and a major issue. When women experience sexual harassment on the job, it compromises their fundamental rights to equality under articles 14 and 15 of India's Constitution, as well as her right to life and to live with dignity under article 21 of the Constitution, and her right to exercise and career or to hold on any occupation, exchange, or business with, which includes a right to a secure environment free from sexual harassment. We will use Vishaka and others as the point of origin of the sexual harassment. The case of V U.O.I. 1997 deals with the problem of sexual harassment of women in the workplace. It is a landmark judgment cases within side the records of sexual harassment which as being determined through preferred court. Sexual harassment is a hassle giving bad impact on each women and men is not unusual place everywhere. Every 2nd and each minute they're being stressed. Especially girls in India are taken into consideration as the second one grade citizens. They are violated, exploited and confused by and large at workplaces. Sexual harassment is a severe hassle within side the place of work. The look at analyzes the sexual harassment of girls in popular and in particular. The observe additionally complements the techniques for the safety of ladies from sexual harassment on the place of job

Effect of Growth Regulators on Growth and Harvest Maturity in Kiwifruit (Actinidia deliciosa)

The present study was conducted in the experimental farm of Department of Pomology, UHF, Solan. Three plant growth regulators, viz., NAA, 2,4,5-T and Ethrel were sprayed at different concentrations at stage II of fruit growth to study their effect on growth pattern, maturity and quality of fruits. None of the treatments were found to be effective in hastening harvest maturity (by slashing the period of slow-growth) although, size of the fruits increased with some treatments. Quality parameters like TSS, ascorbic acid, and sugar content increased in all treatments, while titratable acidity and flesh firmness decreased. Physical and biochemical analysis of fruits revealed that the fruits attained optimum maturity at 190 days after full bloom

Nursery Output Maximization in Mango under Low-Hill Conditions of Himachal Pradesh

Studies to standardize nursery production techniques in mango for output maximization were conducted during 2004-2009. Three separate experiments were laid out to work out optimum spacing, fertilizer level and time of transplant of mango seedlings. Best result in terms of nursery output per unit area was observed in seedlings transplanted at a spacing of 30cm x 20cm during mid-August to mid-September. It was also observed that a higher proportion of early-transplanted seedlings became graftable by March. Thus there exists a wide scope for raising greater number of mango grafts in a year, as, these grafts attain saleable size by July-August, if suitable irrigation and nutrition is provided. Seedling survival improved with different levels of manure and fertilizer application. Overall saleable plant material generated was highest with application of 10kg FYM + 25g N + 16g P2O5 + 60g K2O per m2 bedarea

Effect of Hormonal Treatment and Mulching on Fruit Drop and Quality in Mango

An experiment was laid out to assess the effect of hormonal treatment and mulching on fruit drop and quality in cvs. Mallika, Amrapali and Dashehari of mango at the experimental farm Bhota of IBES Neri, Hamirpur, during the years 2010-2012. Eight treatments, viz., T1&T2: 2, 4-D (20 and 40ppm), T3&T4: NAA (25 and 50ppm), T5: 2, 4-D (20ppm) + Black polythene mulch, T6:NAA (25ppm) + Black polythene mulch, T7: Black polythene mulch, and T8: Control, were applied during the last week of April at the pea stage of fruit development in the years 2011 and 2012. Observations were recorded on marked panicles at monthly intervals until harvest. All the hormonal treatments, mulching and combination thereof, showed significant reduction in fruit drop in all the three cultivars under study. Fruit retention at harvest in cvs. Amrapali, and Mallika and Dashehari was maximum (5.95, 9.5 and 8.3%, respectively) with T5 (2, 4-D 20ppm + Black polythene mulch) which was statistically at par with T1 (2, 4-D 20ppm), T7 (Black polythene mulch) and T2(2, 4-D 40ppm). Effect of treatments on TSS content was non-significant. Highest TSS content (14.5°B) was noted in cv. Dashehari which was significantly higher than in Mallika (11.7°B) or Amrapali (11.4°B). Titratable acidity was significantly low in all the treatments than that in untreated plants. Highest acidity (0.53%) was recorded in Control. 'Dashehari' recorded the highest (0.63%) acidity, followed by Mallika (0.49%) and Amrapali (0.46%)

Design an Optimal Decision Tree based Algorithm to Improve Model Prediction Performance

Performance of decision trees is assessed by prediction accuracy for unobserved occurrences. In order to generate optimised decision trees with high classification accuracy and smaller decision trees, this study will pre-process the data. In this study, some decision tree components are addressed and enhanced. The algorithms should produce precise and ideal decision trees in order to increase prediction performance. Additionally, it hopes to create a decision tree algorithm with a tiny global footprint and excellent forecast accuracy. The typical decision tree-based technique was created for classification purposes and is used with various kinds of uncertain information. Prior to preparing the dataset for classification, the uncertain dataset was first processed through missing data treatment and other uncertainty handling procedures to produce the balanced dataset. Three different real-time datasets, including the Titanic dataset, the PIMA Indian Diabetes dataset, and datasets relating to heart disease, have been used to test the proposed algorithm. The suggested algorithm's performance has been assessed in terms of the precision, recall, f-measure, and accuracy metrics. The outcomes of suggested decision tree and the standard decision tree have been contrasted. On all three datasets, it was found that the decision tree with Gini impurity optimization performed remarkably well

Prevalence of hepatitis-C viral infection among opioid dependent injectable drug users: a study conducted at regional hospital drug de-addiction and treatment centre, Solan, Himachal Pradesh, India

Background: There are a limited number of studies regarding the prevalence of hepatitis B, hepatitis C and HIV infections among the drug addicts in Himachal Pradesh; C virus (HCV) infection in north India especially Himachal with very high rates of substance abuse. The present study was attempted to study the prevalence of hepatitis C among the injectable drug users, which is more important in a country like India where viral hepatitis is estimated to be among the top ten causes of deaths.Methods: A study was conducted in 2019-2020 (July-April). HBsAg, anti-HBs, anti-HCV and anti-HIV tests in 235 drug addicts were studied. Urine samples obtained from drug addicts were analyzed for cannabis, opiate and cocaine metabolites.Results: The subjects included were 235 IDUs who were opioid dependent. All the 235 drug users were males, and their mean age was 30.69±9.494 years; 112 (47.7%) of them were in the age group ranging 20 - 29 years (p <0.05). Of 235 drug addicts, 113 (48.1%) and 115 (48.9%) were only cannabis and opiate users, respectively. The frequencies of HBsAg, anti-HBs and anti-HCV among drug addicts were 2.6%, 38.3%, and 9.4%, respectively.Conclusions: The obtained results showed that HCV infection was an alarming problem among opiate users in this part of Himachal. It is suggested to rapidly diagnose the infected persons; thus preventive measures and appropriate control may limit further transmission of these infections

Evaluation the Quality of Software Design by Call Graph based Metrics

The prediction of software defects was introduced to support development and maintenance activities to improve the software quality by finding errors early in the software development. It facilitates maintenance in terms of effort, time and more importantly the cost prediction for software evolution and maintenance activities. In this paper, we evaluate the quality related attributes in developed software products. The software call graph model is also used for several applications in order to represent and reflect the degree of their complexity in terms of understandability, testability and maintainability efforts. The extracted metrics are investigated for the evaluated applications in correlation with bugs collected from customers bug reports. Those software related bugs are compiled into datasets files to use as an input to a data miner for classification, prediction and association analysis. Finally, the analysis results is evaluated in terms of finding the correlation between software products bugs and call graph based metrics. We find that call graph based metrics are appropriate to detect and predict software defects so that the activities of testing and maintenance stages become easier to estimate or assess after the product delivery

Elastic-plastic Transition of Transversely Isotropic Thick-walled Rotating Cylinder under Internal Pressure

Elastic-plastic stresses for a transversely isotropic thick-walled rotating cylinder under internal pressure have been obtained by using Seth’s transition theory. It has been observed that a thick-walled circular cylinder made of isotropic material yields at the internal surface at a high pressure as compared to cylinder made of transversely isotropic material. With the increase in angular speed, much less pressure is required for initial yielding at the internal surface for transversely isotropic material as compared to isotropic material. For fullyplastic state, circumferential stress is maximum at the external surface. Thick-walled circular cylinder made of transversely isotropic material requires high percentage increase in pressure to become fully plastic as compared to isotropic cylinder. Therefore, circular cylinder made of transversely isotropic material is on the safer side of the design as compared to cylinder made of  isotropic material.Defence Science Journal, 2009, 59(3), pp.260-264, DOI:http://dx.doi.org/10.14429/dsj.59.151

Effect of CNT on the growth and agglomeration of TiO2 nanoparticles

Titanium dioxide nanoparticles (TiO2 -NPs) are agglomerated by inclusion of CNTs during the nucleation and growth process using the hydrothermal method at 160 ⁰C. The content of C-atoms was determined from EDAX-spectra and line scan. The XRD peak of TiO2 indicated the rutile phase R(210), while CNT- TiO2 showed the anatase phase A(004). Williamson-Hall (W-H) models showed the linear fitted negative slope, indicated the presence of compressive strain in TiO2 and CNT- TiO2 crystal lattice. Agglomeration of TiO2 nanoparticles was confirmed from the surface morphology and elemental analysis. The FTIR spectra showed the interfacial interaction between CNTs and TiO2 with vibrational frequency of Ti-O-C bonds at 1065 cm-