34 research outputs found

    Social Control and constraint in Mahaeswetha Devi's short stories

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    Literature is the mirror that reflects the society. Through literature we can get an clear idea about the path that man has passed through out his life, his lifestyle, culture, political activity and their effects, social change, and the place of man in society. The writer takes the experiences he has received and the experiences from the society and gives them to the society. In this way, the female writers understand the problems of the society and how women are affected by it. Women writers through their works picturizes how the government and patriarchal society complicate the women in their day to day life. Translation literature is important in bringing the spoken works of these multilingual women writers to others who do not know their respective languages. Rabindranath Tagore, Trilokhya Nath Muko Bhatia, Prabhat Kumar and Sarath Chandra were very popular in the field of Bengali short stories. Followed by them women writers like Asha Poorna Devi, Vani Roy and Maheshweta Devi have also made a mark. Among them, Mahaeswetha Devi is a Bengali writer. The purpose of this study is to investigate the social control and constraint that emerges in Mahawswetha Deviā€™s translated short stories from a sociological perspective

    Sacrospinous fixation for prevention and treatment of vault prolapse: institutional experience from South India

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    Background: Vaginal Vault Prolapsed (VVP) is defined as descent of vagina apex or vaginal cuff scar below a point that is 2 cm less than Total Vaginal Length (TVL) above the plane of hymen. VVP following hysterectomy is due to pre-existing weakness of pelvic floor tissue. Incidence is 0.2% and on clinical examination incidence is 45%. It is reported to be more common in Asian women (67%) compared to Caucasian (26%) or African (28%) women. Ā Methods: 15 cases of prolapse cases were operated during a period of 2 year attending our department. The efficacy of the Sacrospinous Ligament Fixation of the Vault (SSLF) was evaluated. We performed prophylactic SSLF following vaginal hysterectomy in 5 cases and therapeutic SSLF in 10 cases of vault prolapse. Surgical repair of vault prolapse is to address the need to preserve or improve the function and restore the normal anatomy.Results: There was significant improvement in severity of prolapsed with preoperative staging ranging in stage 2 to 4 and postoperative staging in stage -3 to stage 1. Anterior vaginal wall prolapse was reduced immediate post- operative period most of the patients who had stage 2 and stage 3 were reduced to stage 1 and -3. No bladder or bowel injuries in this series.Conclusions: SSF is suitable in physically frail women, requires lesser operating time, rapid recovery, lesser blood loss and hospital stay in addition to being cost effective with patient satisfaction (91%). Sacrospinous fixation is chosen procedure for primary vault prolapse repair

    A Survey on Human Emotion Recognition Approaches, Databases and Applications

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    This paper presents the various emotion classification and recognition systems which implement methods aiming at improving Human Machine Interaction. The modalities and approaches used for affect detection vary and contribute to accuracy and efficacy in detecting emotions of human beings. This paper discovers them in a comparison and descriptive manner. Various applications that use the methodologies in different contexts to address the challenges in real time are discussed. This survey also describes the databases that can be used as standard data sets in the process of emotion identification. Thus an integrated discussion of methods, databases used and applications pertaining to the emerging field of Affective Computing (AC) is done and surveyed.This paper presents the various emotion classification and recognition systems which implement methods aiming at improving Human Machine Interaction. The modalities and approaches used for affect detection vary and contribute to accuracy and efficacy in detecting emotions of human beings. This paper discovers them in a comparison and descriptive manner. Various applications that use the methodologies in different contexts to address the challenges in real time are discussed. This survey also describes the databases that can be used as standard data sets in the process of emotion identification. Thus an integrated discussion of methods, databases used and applications pertaining to the emerging field of Affective Computing (AC) is done and surveyed

    Bio synthesis, Characterization of ZnO Nanoparticles from Scoparia dulcis L. plant extract and its in-vitro Antioxidant, Acetylcholinesterase Activity

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    The current investigation is focused on the use of green synthesis methods for zinc oxide nanoparticles (ZnO NPs) from Scoparia dulcis L. extract (SDE). SDE-mediated ZnO NPs (SDE-ZnO-NPs) were made using a simple and eco-friendly method that required little reaction time and calcinations temperature. UV-Vis, FTIR, X-ray powder diffraction, SEM, TEM & EDAX were used into characterizes the skeletal and synthetic properties concerning biosynthesized ZnO nonmaterial. The UVā€“Visible spectroscopy absorption peak for SDE-ZnO-NPs was found to be at 380 nm, confirming the production of ZnO NPs. The FTIR spectrum also revealed bioactive functional groups as well as metal-oxygen groups. Synthesized ZnO NPs had a rod shape in 200 nm, according to TEM examination. The Zn and O in the produced ZnO NPs were approved by the EDAX analysis. The XRD results revealed that it had a crystal structure that was similar to SDE-ZnO-NPs. The dose-related Acetylcholinesterase inhibitory action of SDE-ZnO NPs was determined utilizing the Ellmanā€™s test. AChE activity of the synthesized nanoparticles showed potential inhibitory activity with IC50 values of 75.34 Āµg/mL. The antioxidant activity was investigated the biosynthesized ZnO-NPs using DPPH, ABTS assay

    Antidandruff activity of Cassia auriculata and Cassia alata through fatty acids mediated inhibition of Malassezia furfur

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    Susceptibility of Malassezia furfur to certain medium chain fatty acids shed light onto novel strategies to control dandruff. This study explored antidandruff activity of the fatty acids and other bioactive compounds from flowers of Cassia auriculata and Cassia alata. The idea was supplementing the growth medium with fatty acids which are inhibitory to Malassezia so that plant-based antidandruff formulations could be developed based on the results. Chloroform and ethanolic flower extracts were tested there in vitro efficacy against M. furfur and the potential antidandruff compounds were identified by gas chromatography-mass spectrophotometry (GC-MS). Minimum inhibitory concentrations were determined for both the extracts and IC50 values of 50 and 88 ĀµM for chloroform extract of C. auriculata and C. alata were recorded. For ethanol extract, IC50 values of 75 and 70 ĀµM were exhibited by C. auriculata and C. alata, respectively. Inhibition of M. furfur through fatty acids from Cassia is the first report, and it is possible to include specific fatty acids in the growth media to inhibit the growth of Malassezia which could be later served as lead molecules in antidandruff formulations. Further, the presence of citronellol, pinitol, anthracenedione and chrysine in Cassia flower extracts and their antidandruff activity reported in this study needed further research on those compounds to formulate effective treatment of Malassezia associated diseases

    Note on generalized topological spaces with hereditary classes

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    In this paper, we extend the study of ĪØH\Psi_\mathcal{H} operatorĀ  introduced and studied in [5] and rectify the errors in the paper. Moreover, characterizations of Ī¼āˆ’\mu-codense and strongly Ī¼āˆ’\mu-codense hereditary classes in generalized topological spaces are also given

    Pengaruh Corporate Social Responsibility (CSR) Disclosure Dan Kinerja Keuangan Terhadap Corporate Reputation (Studi Empiris Pada Perusahaan Manufaktur Yang Terdaftar Di BEI Tahun 2018-2020)

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    This study aims to analyze the influence of corporate social responsibility disclosure and financial performance on corporate reputation by focusing on manufacturing companies listed on the Indonesia Stock Exchange with the research period 2018-2020. The data used is secondary data. The sampling technique used purposive sampling technique and obtained 32 companies with a total of 96 samples. The analytical tool used in this study was the linear regression analysis. The results of this research showed that corporate social responsibility disclosure had an effect on corporate reputation and financial performance had no effect on corporate reputation. Keywords: CSR Disclosure, Financial Performance, Corporate Reputatio

    A microarray gene expression data classification using hybrid back propagation neural network

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    Classification of cancer establishes appropriate treatment and helps to decide the diagnosis. Cancer expands progressively from an alteration in a cell's genetic structure. This change (mutation) results in cells with uncontrolled growth patterns. In cancer classification, the approach, Back propagation is sufficient and also it is a universal technique of training artificial neural networks. It is also called supervised learning method. It needs many dataset for input and output for making up the training set. The back propagation method may execute the function of collaborate multiple parties. In existing method, collaborative learning is limited and it considers only two parties. The proposed collaborative function can perform well and problems can be solved by utilizing the power of cloud computing. This technical note applies hybrid models of Back Propagation Neural networks (BPN) and fast Genetic Algorithms (GA) to estimate the feature selection in gene expression data. The proposed research work examines many feature selection algorithms which are ā€œfragileā€; that is, the superiority of their results varies broadly over data sets. By this research, it is suggested that this is due to higherorder interactions between features causing restricted minima in search space in which the algorithm becomes attentive. GAs may escape from such minima by chance, because works are highly stochastic. A neural net classifier with a genetic algorithm, using the GA to select features for classification by the neural net and incorporating the net as part of the objective function of the GA

    A Survey on Human Emotion Recognition Approaches, Databases and Applications

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    This paper presents the various emotion classification and recognition systems which implement methods aiming at improving Human Machine Interaction. The modalities and approaches used for affect detection vary and contribute to accuracy and efficacy in detecting emotions of human beings. This paper discovers them in a comparison and descriptive manner. Various applications that use the methodologies in different contexts to address the challenges in real time are discussed. This survey also describes the databases that can be used as standard data sets in the process of emotion identification. Thus an integrated discussion of methods, databases used and applications pertaining to the emerging field of Affective Computing (AC) is done and surveyed. This paper presents the various emotion classification and recognition systems which implement methods aiming at improving Human Machine Interaction. The modalities and approaches used for affect detection vary and contribute to accuracy and efficacy in detecting emotions of human beings. This paper discovers them in a comparison and descriptive manner. Various applications that use the methodologies in different contexts to address the challenges in real time are discussed. This survey also describes the databases that can be used as standard data sets in the process of emotion identification. Thus an integrated discussion of methods, databases used and applications pertaining to the emerging field of Affective Computing (AC) is done and surveyed

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    Not AvailableAntimicrobial chitosan films were prepared with acetic acid and propionic acid with glycerol as plasticizer and its efficiency was compared with polyester-polyethylene laminate (PEST/LDPE). The tensile strength of acetic acid/chitosan (ACS) films were higher than propionic acid/chitosan (PCS) films. The elongation percentage (6.43ā€“11.3) and water vapour permeability (0.015ā€“0.03 g/m2/day) were significantly lower (p < 0.05) for chitosan films when compared to control. Oxygen transmission rate (OTR) of control and propionic acid/chitosan (PCS) films were significantly higher (p < 0.05) than acetic acid/chitosan (ACS) films. Dried anchovy (Stolephorus indicus) wrapped in these films were stored at ambient temperature for three months. Quality indices like peroxide value (PV), thiobarbituric acid value (TBA) and microbiological parameters such as aerobic plate count (APC) and total fungal count (TFC) were periodically determined. In terms of microbial and chemical indices, anchovies wrapped in ACS and PCS films were superior to those wrapped with PEST/LDPE films during storage. Study revealed the suitability of chitosan film as wraps for increasing storage stability of dried fish.Not Availabl
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