Effect of circuit training on hemoglobin of school students

The purpose of this study was to investigate the effect of circuit training on Hemoglobin of school students Meerut, Uttar Pradesh.  To achieve the purpose of the study, the sixty (60) male students were selected who served as subjects and their age group was between 9 to 14 years. The selected subjects were divided into two groups i.e., experimental and control group. 30 male students were selected for each group as research subjects. The experimental group underwent through circuit training exercise consisted 8 station for 12 weeks. The control group was not given any training apart from their regular activates. The physiological variable which was examined during the study was hemoglobin. All the data which was collected before the training and after applied the training programme were examined by using dependent “t” test to find out the significant difference between the means of pre and post test score of experimental group after applied 12 weeks of circuit training. The level of confidence was fixed at 0.05. The obtained‘t’ score of Hemoglobin was found higher than the required table value 1.67 to be significant at 0.05 level of confidence at df 58. It shows that Post data score of school students of experimental group is found better than the Post data of control group of school students

Analysis of the Maternity Benefits Amendment Act, 2017 and its Implications on the Modern Industrial Discourse

As a recognition of the crucial role played by women, it is vital that governments move away from and rocentric laws and work towards achieving social justice, both in the organized and unorganized sectors. The concept of social justice has manifested itself in the Maternity Benefits Act, 1961 and its subsequent amendments. Complementary to this law, the judiciary has played a vital role in rendering judgments that involve liberal interpretations of the provisions of the law so as to be beneficial to the labor community. This is evidenced in the case of B. Shah v. Labor Court, Coimbatore. However, lacunas and complications continue to exist. The Legislature and the Judiciary must identify the factors that are obstructing the achievement of social and economic equality of women. This paper seeks to analyze judicial interpretations and the legislative intent of the 2017 amendment to the Maternity Benefits Act, 1961

CHARACTERIZATION OF ACTINOMYCETES AGAINST PHYTOPATHOGENIC FUNGI OF GLYCINE MAX (L.)

ABSTRACTObjective: This study was conducted to evaluate the antifungal activity of actinomycetes.Methods: The cross-streak plate method and agar well methods were used for the screening of actinomycetes for determination of antifungal activityof actinomycetes against phytopathogens of the soybean crop.Results: A total of 80 strains of actinomycetes were isolated from the soils of different habitats of Chambal region, Madhya Pradesh, evaluated fortheir ability to inhibit plant pathogens, i.e., Macrophomina phaseolina, Fusarium oxysporum, Colletotrichum truncatum, and Rhizoctonia solani in vitro.Entire isolates were screened for their antifungal activity by agar well method against phytopathogenic fungi. After screening, out of these, only oneactinomycetae ACITM-1 showed antifungal activity against M. phaseolina, F. oxysporum, R. solani, and C. truncatum.Conclusion: This study proves that actinomycetes isolated from soil have good antifungal activity against the fungal pathogens of the soybean crop.Keywords: Antifungal activity, Saprophytic, Phytopathogens, Soybean, Metabolite

Effects of Progressive Muscle Relaxation Technique on Mental Skills of Volleyball Players

The present study was conducted to examine the effects of progressive muscle relaxation technique on mental skills of volleyball players. To obtain data for this study, the investigators had selected 20 male subjects were selected randomly from L.N.U.P.E volleyball match practice group in which 10 subjects were in experimental group and 10 subjects acted as control group. The purposive sampling technique was used to obtain the required data. To measure the level of mental skills of the subjects, the mental skills questionnaire constructed by Hardy and Nelson was administered. Analysis of covariance was used to determine significant differences for dependent variables within the two groups. When a significant difference among the group was observed, a pair wise comparison of the groups was done by using post-hoc test to indentify direction and significant differences between the groups. The level of significance was set at 0.05 in order to test the differences to be considered significant. The results revealed that progressive muscular relaxation technique was effective in improving the imagery ability, mental preparation and concentration ability and mental skill of subjects. Though the pre-test and post-test mean difference between control groups has shown marginal improvement as mean difference was found respectively

Mixed Reality Interfaces for Augmented Text and Speech

While technology plays a vital role in human communication, there still remain many significant challenges when using them in everyday life. Modern computing technologies, such as smartphones, offer convenient and swift access to information, facilitating tasks like reading documents or communicating with friends. However, these tools frequently lack adaptability, become distracting, consume excessive time, and impede interactions with people and contextual information. Furthermore, they often require numerous steps and significant time investment to gather pertinent information. We want to explore an efficient process of contextual information gathering for mixed reality (MR) interfaces that provide information directly in the user’s view. This approach allows for a seamless and flexible transition between language and subsequent contextual references, without disrupting the flow of communication. ’Augmented Language’ can be defined as the integration of language and communication with mixed reality to enhance, transform, or manipulate language-related aspects and various forms of linguistic augmentations (such as annotation/referencing, aiding social interactions, translation, localization, etc.). In this thesis, our broad objective is to explore mixed reality interfaces and their potential to enhance augmented language, particularly in the domains of speech and text. Our aim is to create interfaces that offer a more natural, generalizable, on-demand, and real-time experience of accessing contextually relevant information and providing adaptive interactions. To better address this broader objective, we systematically break it down to focus on two instances of augmented language. First, enhancing augmented conversation to support on-the-fly, co-located in-person conversations using embedded references. And second, enhancing digital and physical documents using MR to provide on-demand reading support in the form of different summarization techniques. To examine the effectiveness of these speech and text interfaces, we conducted two studies in which we asked the participants to evaluate our system prototype in different use cases. The exploratory usability study for the first exploration confirms that our system decreases distraction and friction in conversation compared to smartphone search while providing highly useful and relevant information. For the second project, we conducted an exploratory design workshop to identify categories of document enhancements. We later conducted a user study with a mixed-reality prototype to highlight five board themes to discuss the benefits of MR document enhancement

Adaptive Grey Wolf Optimization Technique for Stock Index Price Prediction on Recurring Neural Network Variants

In this paper, we propose a Long short-term memory (LSTM) and Adaptive Grey Wolf Optimization (GWO)--based hybrid model for predicting the stock prices of the Major Indian stock indices, i.e., Sensex. The LSTM is an advanced neural network that handles uncertain, nonlinear, and sequential data. The challenges are its weight and bias optimization. The classical backpropagation has issues of dangling on local minima or overfitting the dataset. Thus, we propose a GWO-based hybrid approach to evolve the weights and biases of the LSTM and the dense layers. We have made the GWO more robust by introducing an approach to improve the best possible solution by using the optimal ranking of the wolves. The proposed model combines the GWO with Adam Optimizer to train the LSTM. Apart from the LSTM, we have also implemented the Adaptive GWO on other variants of Recurring Neural Networks (RNN) like LSTM, Bi-Directional LSTM, Gated Recurrent Units (GRU), and Bi-Directional GRU and computed the corresponding results. The Adaptive GWO here evolves the initial weights and biases of the above-discussed neural networks. In this research, we have also compared the forecasting efficiency of our proposed work with a particle-warm optimization (PSO) based hybrid LSTM model, simple Grey-wolf Optimization (GWO), and Adaptive PSO. According to the experimental findings, the suggested model has effectively used the best initial weights, and its results are the best overall

Radiation Protective Potentiality of Adhatoda vasica

The present study forecasts the extensive damage caused by radiotherapy and chemotherapy treatment for cancer in the genetic setup of an individual. To counteract this damage, radioprotective potentiality of 50% Methanolic extract of Adhatoda vasica was evaluated through Cyto-Geno analysis.50% Methanolic extract of Adhatoda vasica leaves was used as a drug whose radioprotective potentiality was to be investigated. Human peripheral lymphocytes were cultured using RPMI-1640 media, harvested and observed under microscope for chromosomal aberration assay.Total 200 metaphases were counted for each group. All the metaphases were found to be normal in Control group. The frequency of normal metaphases greatly increased after pretreatment with both low and high drug dose (50mg/Kg body weight and 100mg/Kg body weight) concentration. The average normal metaphase in Radiation Control was 118 out of 200 metaphases but after pretreatment with 50% Methanolic extract of Adhatoda vasica the number of normal metaphase increased to 179 at 50mg/Kg body weight and 184 at 100mg/Kg body weight. It was concluded that 50% Methanolic Extract of Adhatoda vasica with both low and high drug doses have shown its potentiality as a radio protector against the therapeutically induced mutations which can prove to be a contributor in cancer management in future. Such indigenous Indian, herbal, cost effective, poor man friendly drug will definitely be a potential adjuvant to cancer treatments like radiotherapy and chemotherapy since Amifostine a well known radioprotector given to the patients at the time of cancer therapy is expensive and has its own side effects.Keywords: Radiation Protective, Adhatoda vasica, metaphase