• Title/Summary/Keyword: Indian context

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A Deep Learning Model for Extracting Consumer Sentiments using Recurrent Neural Network Techniques

  • Ranjan, Roop;Daniel, AK
    • International Journal of Computer Science & Network Security
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    • v.21 no.8
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    • pp.238-246
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    • 2021
  • The rapid rise of the Internet and social media has resulted in a large number of text-based reviews being placed on sites such as social media. In the age of social media, utilizing machine learning technologies to analyze the emotional context of comments aids in the understanding of QoS for any product or service. The classification and analysis of user reviews aids in the improvement of QoS. (Quality of Services). Machine Learning algorithms have evolved into a powerful tool for analyzing user sentiment. Unlike traditional categorization models, which are based on a set of rules. In sentiment categorization, Bidirectional Long Short-Term Memory (BiLSTM) has shown significant results, and Convolution Neural Network (CNN) has shown promising results. Using convolutions and pooling layers, CNN can successfully extract local information. BiLSTM uses dual LSTM orientations to increase the amount of background knowledge available to deep learning models. The suggested hybrid model combines the benefits of these two deep learning-based algorithms. The data source for analysis and classification was user reviews of Indian Railway Services on Twitter. The suggested hybrid model uses the Keras Embedding technique as an input source. The suggested model takes in data and generates lower-dimensional characteristics that result in a categorization result. The suggested hybrid model's performance was compared using Keras and Word2Vec, and the proposed model showed a significant improvement in response with an accuracy of 95.19 percent.

Nanotechnology in reproductive medicine: Opportunities for clinical translation

  • Shandilya, Ruchita;Pathak, Neelam;Lohiya, Nirmal Kumar;Sharma, Radhey Shyam;Mishra, Pradyumna Kumar
    • Clinical and Experimental Reproductive Medicine
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    • v.47 no.4
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    • pp.245-262
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    • 2020
  • In recent years, nanotechnology has revolutionized global healthcare and has been predicted to exert a remarkable effect on clinical medicine. In this context, the clinical use of nanomaterials for cancer diagnosis, fertility preservation, and the management of infertility and other pathologies linked to pubertal development, menopause, sexually transmitted infections, and HIV (human immunodeficiency virus) has substantial promise to fill the existing lacunae in reproductive healthcare. Of late, a number of clinical trials involving the use of nanoparticles for the early detection of reproductive tract infections and cancers, targeted drug delivery, and cellular therapeutics have been conducted. However, most of these trials of nanoengineering are still at a nascent stage, and better synergy between pharmaceutics, chemistry, and cutting-edge molecular sciences is needed for effective translation of these interventions from bench to bedside. To bridge the gap between translational outcome and product development, strategic partnerships with the insight and ability to anticipate challenges, as well as an indepth understanding of the molecular pathways involved, are highly essential. Such amalgamations would overcome the regulatory gauntlet and technical hurdles, thereby facilitating the effective clinical translation of these nano-based tools and technologies. The present review comprehensively focuses on emerging applications of nanotechnology, which holds enormous promise for improved therapeutics and early diagnosis of various human reproductive tract diseases and conditions.

Re-engineering Adult Education Programme-an Online Learning Curricular Perspective

  • Mathai, K.J.;Karaulia, D.S.
    • Journal of Korea Multimedia Society
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    • v.6 no.4
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    • pp.685-697
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    • 2003
  • The Web based multimedia programmes/courses are becoming widely available in recent years. Most of these courses focus on Behaviorist way of learning, which does not promote deep learning in any way. For Adults this approach further incapacitated, as it does not satisfy Andragogical needs. The search for Constructivist way of learning through the web applied to Indian conditions led to need for developing a curriculum development approach that would promote construction of knowledge through web based collaboration. This paper attempts to reengineer existing curriculum development processes and lays out a framework of‘Problem Based Online Learning (PBOL)’curriculum design. In this context, entire curriculum development life cycle is evolved and explained. This is a part of doctoral work (Ph.D), which is in progress and being undertaken by K.James Mathai, and guided of Dr.D.S.Karaulia.

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Examining the Adoption of AI based Banking Chatbots: A Task Technology Fit and Network Externalities Perspective

  • Eden Samuel Parthiban;Mohd. Adil
    • Asia pacific journal of information systems
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    • v.33 no.3
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    • pp.652-676
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    • 2023
  • The objective of this study is to provide a deeper understanding of the factors that lead to the development and adoption of AI-based chatbots. We analyze the structural relationship between the organizational (externalities), systematic (fit), and the consumer-related (psychological) factors and their role in the adoption of AI-based chatbots. Founded on the theories of task-technology fit and network externalities, we present a conceptual model overlooking common perception-based theories (e.g., Technology Acceptance Model). We collected 380 responses from Indian banking consumers to test the model using the PLS-SEM method. Interestingly, the findings present a positive impact of all factors on consumers' intention to adopt AI-based chatbots. However, the interplays between these factors provide a mixed perspective for literature. Apart from employing a combination of factors that have been used to study technology adoption, our study explores the importance of externalities and their relationship with fit factors, a unique outlook often overlooked by prior research. Moreover, we offer a clear understanding of latent variables such as trust, and the intricacies of their interplays in a novel context. Thereby, the study offers implications for literature and practice, followed by future research directions.

An Empirical Study on Emotional Intensity and the Influence of Product Involvement in the Context of the Integrative Framework

  • Pradip Hira, Sadarangani;Sanjaya S., Gaur
    • Journal of Global Scholars of Marketing Science
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    • v.12
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    • pp.99-119
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    • 2003
  • A model is proposed for the role of emotional intensity of a web site, and the moderating influence of product involvement, in the Integrative Framework of persuasion (Meyers-Levy and Malvaiya 1999). The model also appropriately operationalizes the constructs emotional intensity of a web site and product involvement The three routes to persuasion, Central, Peripheral, and Experiential correspond to high, moderate, and low involvement (Meyers-Levy and Malaviya 1999). The involvement construct is measured from message recipients using the Personal Product Inventory (Pill, which was developed to capture the concept of product involvement (Zaichkowsky 1985). The conceptualization of the Personal Product Inventory is a contextrree measure that also has robust psychometric properties when applied to advertisements (Zaichkowsky 1994). The propositions highlight the expected importance of emotional intensity of a web site. The moderating influence of product involvement is also proposed. Specifically, what this work proposes is that the emotional intensity of a product site has a larger impact on attitude change under low product involvement, as opposed to moderate product involvement. Support for this reasoning can be found in the persuasion literature (Petty et al 1986). The Petty et al (1986) frame work is a dual process descriptive and predictive frame work in the area of altitude formation and change. Recently, Myers Levy and Malaviya (1999) have proposed a tri-process framework. This is in tum based on the dual process model of Petty et al. (1986). The study outlined in this paper aims to deepen the Meyers Levy and Malaviya (1999) and frame work. The propositions outlined in the model are empirically tested using a repeated measures experimental design. The emotional intensity is measured using a scale that is based on experts judgments. Using a paired comparison t-test two sites are determined to be of high and low emotional intensity. The model is tested using a repeated measures experimental design. The first independent variable Emotional Intensity of the site is manipulated. The Second independent variable, Personal Product Inventory is measured. While, the dependent variable, product altitude change will also be measured. Utilizing Analysis of Variance (ANOVA) the data is analyzed using SPSS. The results suggest that besides the rational content of messages their emotional content can also influence attitude change. Specifically, it is proposed that the manipulation of emotional intensity of a product Web site has a greater impact on product altitudes under high and low product involvement conditions, rather than moderate product involvement. However, the results for product involvement as a continuous variable has a p value of 0.09. Further, the results for three levels of product involvement were far from significant. For two levels of product involvement also, the results were insignificant, the p value approached 0.20. This evidence indicates that it is premature to conclude that there are three routes to persuasion. A caveat, however, must be added, in that the manipulations may not have been strong enough to test the proposed hypotheses. Further, undoubtedly, there is unequivocal evidence the emotional intensity of a product Web site, as measured here, has a direct impact on product attitudes.

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A New Challenge to Korean American Religious Identity: Cultural Crisis in Korean American Christianity

  • Ro, Young-Chan
    • Journal of the Daesoon Academy of Sciences
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    • v.18
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    • pp.53-79
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    • 2004
  • This paper explores the relationship between Korean immigrants to the United States and their religious identity from the cultural point of view. Most scholarly studies on Korean immigrants in the United States have been dominated by sociological approach and ethnic studies in examining the social dimension of the Korean immigrant communities while neglecting issues concerning their religious identity and cultural heritage. Most Korean immigrants to America attend Korean churches regardless their religious affiliation before they came to America. One of the reasons for this phenomenon is the fact that Korean church has provided a necessary social service for the newly arrived immigrants. Korean churches have been able to play a key role in the life of Korean immigrants. Korean immigrants, however, have shown a unique aspect regarding their religious identity compared to other immigrants communities in the United States. America is a nation of immigrants, coming from different parts of the world. Each immigrant community has brought their unique cultural heritage and religious persuasion. Asian immigrants, for example, brought their own traditional religions such as Hinduism, Buddhism. People from the Middle Eastern countries brought Islamic faith while European Jews brought the Jewish tradition. In these immigrant communities, religious identity and cultural heritage were homo genously harmonized. Jewish people built synagogue and taught Hebrew, Jewish history, culture, and faith. In this case, synagogue was not only the house of worship for Jews but also the center for learning Jewish history, culture, faith, and language. In short, Jewish cultural history was intimately related to Jewish religious history; for Jewish immigrants, learning their social and political history was indeed identical with leaning of their religious history. The same can be said about the relationship between Indian community and Hinduism. Hindu temples serve as the center of Indian immigrantsin providing the social, cultural, and spiritual functions. Buddhist temples, for that matter, serve the same function to the people from the Asian countries. Chinese, Japanese, Vietnamese, Tibetans, and Thais have brought their respective Buddhist traditions to America and practice and maintain both their religious faith and cultural heritage. Middle Eastern people, for example, have brought Islamic faith to the United States, and Mosques have become the center for learning their language, practicing their faith, and maintaining their cultural heritage. Korean immigrants, unlike any other immigrant group, have brought Christianity, which is not a Korean traditional religion but a Western religion they received in 18th and 19th centuries from the West and America, back to the United States, and church has become the center of their lives in America. In this context, Koreans and Korean-Americans have a unique situation in which they practice Christianity as their religion but try to maintain their non-Christian cultural heritage. For the Korean immigrants, their religious identity and cultural identity are not the same. Although Korean church so far has provides the social and religious functions to fill the need of Korean immigrants, but it may not be able to become the most effective institution to provide and maintain Korean cultural heritage. In this respect, Korean churches must be able to open to traditional Korean religions or the religions of Korean origin to cultivate and nurture Korean cultural heritage.

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Evaluation of Eligibility and Utilization of Breast Conservation Treatment in an Asian Context

  • Tan, Mona Poh-Choo;Sitoh, Nadya Ying-Yue;Sim, Amanda Shi-Ting
    • Asian Pacific Journal of Cancer Prevention
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    • v.15 no.11
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    • pp.4683-4688
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    • 2014
  • Background: Breast conservation treatment (BCT) has long been recognised to provide survival outcomes equivalent to mastectomy for the treatment of breast cancer. However, published reports of BCT rates in Asian communities are lower than those from Western countries. This study sought to investigate the eligibility and utilisation of BCT in a predominantly Asian population. Materials and Methods: All patients treated surgically by a single surgeon at a private medical facility between 2009 and 2011 were included in the study. Patients were deemed to have successful BCT if they underwent breast conserving surgery with pathologic clear margins and completed all recommended adjuvant treatment. Those who did not complete adjuvant treatment were excluded from the analysis. Results: Data from a total of 161 patients who underwent treatment during the study period were analysed. The mean age was 48.8 years. One hundred and six patients (65.8%) were of Chinese ethnicity, 12 were Indian (7.5%), 11 were Malay (6.8%), 18 were Caucasian (11.2%) and 14 (8.7%) were of other Asian ethnicity. One hundred and thirty-eight women (85.7%) underwent BCT. Of the 23 (14.3%) who underwent mastectomy, 8 (5.4%) elected to undergo a mastectomy despite being eligible for BCT. In total, it was assessed that 146 of 161 patients (90.7%) were eligible for BCT and utilisation was 94.5%. Conclusions: In this study, eligibility, utilisation of BCT and eventual successful breast conservation rates are similar to published rates in Western communities. Additional research is needed to investigate the reasons for the lower published BCT rates in Asian countries and determine ways to improve them.

Structural failure classification for reinforced concrete buildings using trained neural network based multi-objective genetic algorithm

  • Chatterjee, Sankhadeep;Sarkar, Sarbartha;Hore, Sirshendu;Dey, Nilanjan;Ashour, Amira S.;Shi, Fuqian;Le, Dac-Nhuong
    • Structural Engineering and Mechanics
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    • v.63 no.4
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    • pp.429-438
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    • 2017
  • Structural design has an imperative role in deciding the failure possibility of a Reinforced Concrete (RC) structure. Recent research works achieved the goal of predicting the structural failure of the RC structure with the assistance of machine learning techniques. Previously, the Artificial Neural Network (ANN) has been trained supported by Particle Swarm Optimization (PSO) to classify RC structures with reasonable accuracy. Though, keeping in mind the sensitivity in predicting the structural failure, more accurate models are still absent in the context of Machine Learning. Since the efficiency of multi-objective optimization over single objective optimization techniques is well established. Thus, the motivation of the current work is to employ a Multi-objective Genetic Algorithm (MOGA) to train the Neural Network (NN) based model. In the present work, the NN has been trained with MOGA to minimize the Root Mean Squared Error (RMSE) and Maximum Error (ME) toward optimizing the weight vector of the NN. The model has been tested by using a dataset consisting of 150 RC structure buildings. The proposed NN-MOGA based model has been compared with Multi-layer perceptron-feed-forward network (MLP-FFN) and NN-PSO based models in terms of several performance metrics. Experimental results suggested that the NN-MOGA has outperformed other existing well known classifiers with a reasonable improvement over them. Meanwhile, the proposed NN-MOGA achieved the superior accuracy of 93.33% and F-measure of 94.44%, which is superior to the other classifiers in the present study.

Breast and Cervical Cancer Screening and Associated Factors among Older Adult Women in South Africa

  • Peltzer, Karl;Phaswana-Mafuya, Nancy
    • Asian Pacific Journal of Cancer Prevention
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    • v.15 no.6
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    • pp.2473-2476
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    • 2014
  • Background: Little is known about the cancer screening prevalence and correlates in older adults from different racial backgrounds. In the context of heightened efforts for prevention and early diagnosis, we collected information on screening for two major types of cancers: cervical and breast cancer in order to establish their prevalence estimates and correlates among older South African women who participated in the Study of Global Ageing and Adults Health (SAGE) in 2008. Materials and Methods: We conducted a national population-based cross-sectional study with a multi-stage stratified cluster sample of 3,840 individuals aged 50 years or older in South Africa in 2008. In this analysis, we only considered the female subsample of (n=2202). The measures used included socio-demographic characteristics, health variables, anthropometric and blood pressure measurements. Multivariable regression analysis was performed to assess the association of socio-demographic factors, health variables and cancer screening. Results: Overall, regarding cervical cancer screening, 24.3% ever had a Papanicolaou (PAP) smear test, and regarding breast cancer screening, 15.5% ever had a mammography. In multivariate logistic regression analysis, younger age, higher education, being from the White or Coloured population group, urban residence, greater wealth, and suffering from two or more chronic conditions were associated with cervical cancer screening, and higher education, being from the White or Indian/Asian population group, greater wealth, having a health insurance, and suffering from two or more chronic condtions were associated with breast cancer screening. Conclusions: Cancer screening coverage remains low among elderly women in South Africa in spite of the national guideline recommendations for regular screening in order to reduce the risk of dying from these cancers if not detected early. There is a need to improve accessibility and affordability of early cervical and breast cancer screening for all women to ensure effective prevention and management of cervical and breast cancer.

Translating Evidence into Practice in Low Resource Settings: Cervical Cancer Screening Tests are Only Part of the Solution in Rural India

  • Isaac, Rita;Finkel, Madelon;Olver, Ian;Annie, I.K.;Prashanth, H.R.;Subhashini, J.;Viswanathan, P.N.;Trevena, Lyndal J.
    • Asian Pacific Journal of Cancer Prevention
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    • v.13 no.8
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    • pp.4169-4172
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    • 2012
  • Background: The majority of women in rural India have poor or no access to cervical cancer screening services, although one.quarter of all cervical cancers in the world occur there. Several large trials have proven the efficacy of low-tech cervical cancer screening methods in the Indian context but none have documented the necessary components and processes of implementing this evidence in a low-resource setting. Methods: This paper discusses a feasible model of implementation of cervical cancer screening programme in low-resource settings developed through a pilot research project carried out in rural Tamilnadu, India. The programme used visual inspection of cervix after acetic acid application (VIA) as a screening tool, nurses in the primary care centres as the primary screeners and peer educators within Self-Help Women groups to raise community awareness. Results: The uptake of screening was initially low despite the access to a screening programme. However, the programme witnessed an incremental increase in the number of women accessing screening with increasing community awareness. Conclusions: The investigators recommend 4 key components to programme implementation in low-resource setting: 1) Evidence-based, cost-effective test and treatment available within the reach of the community; 2) Appropriate referral pathways; 3) Skilled health workers and necessary equipment; and 4) Optimisation of health literacy, beliefs, attitudes of the community.