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Properties of high strength concrete with reduced amount of Portland cement a case study
In the last 15years Bangalore city has systematically modernized its concrete production process with the help of ready-mix concrete (RMC) facility. However, one of the present requirements of these facilities is to lower its carbon footprint by reducing consumption of Portland cement in the concrete production process. Further, the demand for high-strength concrete (HSC) has increased due to construction of high-rise buildings and other major infrastructure projects in the urban areas of the city. Therefore, this study presents the experimental test results of HSC mixes proportioned with reduced consumption of Portland cement. Four types of concrete mixes with 50% of Portland cement replaced by ground granulated blast furnace slag (GGBS) were considered. Additionally, two control mixes without GGBS replacement were also tested. Fresh, hardened, and durability properties of all the mixes were experimental determined and presented. The results showed that concrete mixes proportioned with 50% GGBS obtained a maximum 28-day compressive strength of 77 MPa. Further, all the mixes with GGBS exhibited superior durability properties when compared to control mixes. Thus, concrete mixes with 50% GGBS replaced for Portland cement are favourable for producing HSC at RMC facilities at Bangalore city. 2021 The Author(s). This open access article is distributed under a Creative Commons Attribution (CC-BY) 4.0 license. -
Development and validation of multi-dimensional scale of grit
Positive psychology nurtures the potent qualities of individuals and aids them in carving a niche for themselves. Based on this theoretical foundation, a non-cognitive trait-like grit plays an imperative role in attaining high achievement. Previous studies have identified three dimensions of grit: perseverance of effort, consistency of interest and adaptability to situations. Recent research has criticized the dimension consistency of interest in a collectivist context. The present study provides an account of grit in view of eastern perspectives to check the suitability of the construct in India. Current findings provide a framework for the development and validation of Multi-Dimensional Scale of Grit reveals four dimensions of grit, namely, adaptability to situation, perseverance of effort, spirited initiative and steadfastness in adverse situations. It also provides an insight regarding the duration of goal attainment with respect to grit. The research conducted over three studies included Indian university students to develop and examine the psychometric properties of grit. Study 1 focused on item analysis and development of the factor structure through exploratory factor analysis. Study 2 confirmed the previously obtained factor structure through confirmatory factor analysis. In study 3, the psychometric properties of the scale were measured through test-retest reliability and validity, criterion, convergent and divergent. Results indicated that Multi-Dimensional Scale of Grit is a reliable and valid measure. It also indicated that the obtained 12 items and four dimensions were in synchronization with the relevant eastern perspective. 2021 The Author(s). This open access article is distributed under a Creative Commons Attribution (CC-BY) 4.0 license. -
A succinct analysis for deep learning in deep vision and its applications
Introduction: Deep learning methodologies can achieve forefront results on testing deep vision issues, for instance, picture portrayal, an object area, face affirmation, Natural Language Processing, Visual Data Processing and online life examination. ConvNet, Stochastic Hopfield network with hidden units, generative graphical model and sort of artificial neural network castoff to absorb competent information coding in an unproven way are deep learning plans used in deep vision issues. Objection: This paper gives a succinct survey of without a doubt the most critical Deep learning structures. Deep vision assignments, for instance, object revelation, face affirmation, Natural Language Processing, Visual Data Processing, web-based life examination and their utilization of this task are discussed with a short record of the historic structure, central focuses and impairments. Future headings in arranging Deep learning structures for Deep vision issues and the troubles included are analysed. Method: This paper consists of surveys. In Section two, Deep Learning Approaches and Changes are audited. In section three, we tend to portray the uses of Applications of deep learning in deep vision. In Section four, Deep learning challenges and directions are mentioned. At long last, Section five completes the paper with an outline of the results. Results and Conclusion: Though deep learning can recall a huge proportion of data and info, its feeble cognitive and perception of the data makes it a disclosure answer for certain applications. Deep learning despite everything encounters issues in showing various erratic facts modalities at the equal period. Multimodal profound learning is an extra notable heading in progressing deep learning research. IJCRR. -
Creating inclusive spaces in virtual classroom sessions during the COVID pandemic: An exploratory study of primary class teachers in India
The research paper reports insights into the primary class teachers experiences and inclusive methodologies in India during virtual class sessions. Teaching online during the COVID pandemic has turned out to be an adaptive and transformative challenge for teachers. Though Indian teachers are used to the chalk-and-talk method, an online setup has compelled them to discover innovative strategies to maintain an inclusive classroom. It was found that teachers are using puppetry, storytelling, energizers, ice-breakers in their sessions to make it engaging. An in-depth study was undertaken to understand the experiences of five primary class teachers from private schools in India. Data thus collected were analyzed qualitatively. The study results demonstrated that the teachers had improved professionally they have become independent in using the internet and exploring new ways of teaching them per their needs. Nevertheless, it was also found that the schools lack support, fear among the teachers of being asked to quit the job, blocking students from the online class if they fail to pay the fees, and exorbitant salary cuts. The challenges related to young students were - lack of proper resources for online sessions, low attention span, technical distractions, lack of physical development, excessive interference of the parents and lack of socialization. The paper concludes with policy proposals regarding standardized online education platforms and provisions for proper resources for virtual class sessions to marginalized families to minimize India's digital divide. 2021 -
Crime analysis and forecasting on spatio temporal news feed dataan indian context
Social media is a platform where people communicate, interact, share ideas, interest in careers, photos, videos, etc. The study says that social media provides an opportunity to observe human behavioral traits, spatial and temporal relationships. Based on study Crime analysis using social media data such as Facebook, Newsfeed articles, Twitter, etc. is becoming one of the emerging areas of research across the world. Using spatial and temporal relationships of social media data, it is possible to extract useful data to analyse criminal activities. The research focuses on implementing textual data analytics by collecting the data from different news feeds and provides visualization. This researchs motivation was identified based on relevant work from different social media crime and Indian government crime statistics. This article focuses on 68 types of different crime keywords for identifying the type of crime. Nae Bayes classification algorithm is used to classify the crime into subcategories of classes with geographical factors, and temporal factors from RSS feeds. Mallet package is used for extracting the keywords from the news-feeds. K-means algorithm is used to identify the hotspots in the crime locations. KDE algorithm is used to identify the density of crime, and also our approach has overcome the challenges in the existing KDE algorithm. The outcome of research validated the proposed crime prediction model with that of the ARIMA model and found equivalent prediction performance. The Author(s), under exclusive license to Springer Nature Switzerland AG 2021. -
Social groupwork for promoting psychological well-being of adolescents enrolled in sponsorship programs
Background: The dearth of data on adolescents highlighted in the UN's data disaggregation against the agenda 'no one left behind' calls for research on 'the second decade'. Moreover, India is a country with the world's largest adolescent population, and as such, studies and policies for developing competencies of adolescents are crucial to the country's development; interventions instilling confidence to aspire to a better future in underprivileged adolescents are vital to mitigate inequity. Methods: This intervention study adopted a quasi-experimental design to measure the effectiveness of social groupwork in raising the psychological well-being of adolescents in child sponsorship programs in Kerala. Forty adolescents from a Child Sponsorship Program (CSP) center in Kochi were recruited for the study. Those suggested by the CSP center considering their poor academic performance and behavior problems were allocated to the intervention group and the rest to the comparison group. The intervention was designed in response to the information garnered through a preliminary study and administered to the intervention group (n=20). We conducted pre-test and post-test for both the intervention group and comparison group (n=20). Results: Comparison between pre- and post-measurements carried out using paired sample t-test for the intervention group and comparison group separately gave a p-value of <0.05 for the intervention group and >0.05 for the comparison group. Thus, it was proved that psychological well-being of participants in the intervention group was raised significantly due to the social group work intervention. Conclusions: Applying refined granularity, this research adds data specifically on adolescents enrolled in child sponsorship programs and sets a blueprint for social groupwork to improve their psychological well-being. Proposing a conceptual framework for child sponsorship programs, this study recommends further research in all aspects of its functioning, and interventions at group, family, and community levels, for the well-being and empowerment of marginalized adolescents. 2021 Joseph S and Karalam DSRB. -
Solar pv tree: Shade-free design and cost analysis considering Indian scenario
In this paper, the performance and the cost-effectiveness of a solar PV tree for supplying the energy demand of a flood lighting system at a basketball court in the School of Engineering and Technology, Christ (Deemed to be University) at Bangalore, India, are analyzed. Also, the energy demand of a flood lighting system for year 2017 is estimated (16 kWh/day), and the design of 4 individual trees of 1 kWp each is proposed, which saves around 40 sq.m area of land near to the basketball court. The experimental data was collected from June 1st, 2018 to May 31st, 2019, using a data acquisition system and processed to calculate the monthly cost of energy produced by each tree. In order to reduce the complexity in design and allow it to be shade-free, all the panels of a tree were oriented at the same azimuth angle. Based on technical and economical assessments with respect to rooftop systems, the solar PV tree presented reasonable results and could be a future adoptable technology for high population density areas, as well as for remote applications. Later, the adoptability of the proposed solar PV tree was simulated for 2 kWp, considering the climatic conditions of 2020, for different rural and urban locations of India. From the techno-economic-environmental analysis, it is highlighted that the annual energy yield is more with the solar PV tree model than with a land-mounted SPV system. The cost savings and greenhouse gas (GHG) reduction are also higher with the proposed oak tree-based solar PV tree in urban areas than in rural areas recommending it for practical applications. 2021, Walailak University. All rights reserved. -
A multilevel analysis of hiv1-miR-H1 miRNA using KPCA, K-means, Random Forest and online target tools
The goal of this study was to propose a workflow using machine learning to identify and predict the miRNA targets of Human Immunodeficiency virus 1. miRNAs which is ~21 nt long are attained from larger hairpin RNA precursors and is maintained in the secondary structure of their precursor relatively than in primary chain of successions. The proposition approach for identification and prediction of miRNA targets in hiv1-miR-H1is based on secondary structure and E-value through machine learning. Data Linearity of Length and e-value for sequence match with hiv1-mir-H1 is verified using Kernel PCA. miRNA targets were grouped into clusters thereby indicating similar targets using K-means algorithm. Classification model using Random Forest was implemented regards to each secondary features variable considering feature relevance. A learning methodology is put forward that assimilate and integrate the score returned by various machine learning algorithms to predict cellular hiv1-miR-H1 targets. Gene targets results using TargetScan, miRanda, PITA, DIANA microT and RNAhybrid are also explored for multiple parameters. 2021 Inderscience Enterprises Ltd. -
Linkage between enterpreneurial orientation and export performance of South Asian countries
Purpose: South Asian economies has witnessed export dependence over the past several years and the dependence has increased manifold. Export performance is the most preferred modes of internationalisation in developing economies as it is directly linked to getting access to international markets with limited resources and capabilities thereby contributing to the economic productivity of the country. This paper examines co-integration between the export performance and entrepreneurial orientation in South Asian nations explaining it as the main enabler of export. Entrepreneurial Orientation has been considered an important criterion for promoting export as EO requires innovation, proactiveness and risk taking which provides competitive advantage to enterprises. Design/Methodology/Approach: The research employed an econometric panel cointegration investigation to analyse the long run relationship of economic orientation and export performance among these nations. Findings: The research confirmed positive long run causality between the innovativeness, proactiveness and risk taking as three dimensions of entrepreneurial orientation and export concentration ratio as an indicator for export performance among South Asian nations. So, if these developing nations continue to diversify their product & market mix in exporting products and services the concentration ratio would improve that would result in growing further economic productivity. Practical implications: This research will serve as an aid to policy makers and entrepreneurs of South Asian nations to focus on the diverse mix of variety of products, services and markets to help South Asian nations prosper. Originality/Value: The policy makers and entrepreneurs of South Asian nations have accorded high priority to export performance. This research is one of the few studies that highlights access to EO as the basis for better export performance of South Asian nations. 2021, Allied Business Academies. All rights reserved. -
My Motherhood, My Way: A Sociological Study of Contemporary Employed Mothers in Kolkata
Motherhood in India has been understood primarily by placing mothers in the domestic space. A mother is constructed as a protector and the complete caregiver of her children. But there have been significant changes in the status of Indian women recently. In the 21st century, with suitable qualifications and employment opportunities, women have the choice to be economically independent and career-driven, which has a profound impact on their roles and responsibilities as protectors and caregivers in the home. It is essential to study and document how women in this generation have started to redefine their roles and negotiate what a mothers duties are at home. This study aims to make a systematic inquiry to understand the issues and challenges faced by employed mothers in everyday life and how they balance their career and childcare activities. Researchers investigate this through a qualitative study on mothers employed in different types of professions in the city of Kolkata. Data was collected by conducting in-depth interviews of around twenty-nine urban, upper-middle class employed mothers from different professional backgrounds to have a set of diverse narratives about their experiences and struggles. The key findings of this study provide an insight into the challenges that mothers face and their balancing mechanisms. Such studies have the scope to motivate many employed mothers by presenting some cases of women who have succeeded in breaking the stereotypical ideas of motherhood and are redefining their stories in more humane terms. 2021. Journal of International Womens Studies. -
On /delta^(k)-colouring of Powers of Paths and Cycles
In animpropervertexcolouringofagraph,adjacentverticesarepermittedto receivesamecolours.Anedgeofanimproperlycolouredgraphissaidtobeabad edge ifitsendverticeshavethesamecolour.Anear-propercolouringofagraphis a colouringwhichminimisesthenumberofbadedgesbyrestrictingthenumberof colour classes that can have adjacency among their own elements. The ?(k)- colouring is anear-propercolouringof G consisting of k givencolours,where1 ? k ? ?(G) ? 1, whichminimisesthenumberofbadedgesbypermittingatmostonecolourclassto have adjacency among the vertices in it. In this paper,we discuss the number of bad edges ofpowers of paths and cycles. Published by Digital Commons@Georgia Southern, 2021. 2021 Georgia Southern University. All rights reserved. -
Anti-bacterial and biocompatibility properties of green synthesized silver nanoparticles using Parkia biglandulosa (Fabales:Fabaceae) leaf extract
The biosynthesis of silver nanoparticles is considered to be a feasible, green, and eco-friendly method. Silver nanoparticles (AgNPs) were synthesized using badminton ball tree (Parkia biglandulosa) leaf extract and their significant physiochemical properties were characterized. The aqueous extract of the leaf of P. biglandulosa act as a reducing as well as capping agent for the reduction of Ag+ ?ions. FTIR analysis was conducted to find out the compounds that were liable for the bio-reduction of silver ions and to study the functional groups present in P. bigalandulosa leaf extract. The biologically reduced silver nanoparticles showed a surface plasmon resonance at 439 ?nm as studied from the UVvisible absorption spectrum. TEM studies confirmed the shape of the nanoparticles to be spherical with an average diameter of 15 ?nm. The anti-bacterial properties of the prepared nanoparticles were tested against Bacillus cereus by well plate method. Biosynthesized silver nanoparticles (PbAgNPs) at 0.02 ?M concentration showed the most antibacterial activity with a zone of inhibition of 7 ?mm. The high biocompatibility of the PbAgNPs by using human skin fibroblast cell line was evaluated by Alamar Blue reduction assay. The PbAgNPs had shown the highest cell viability when compared to native nanoparticles, meanwhile, a significant increase in cell viability was noted for the nanoparticles. The biosynthetic approach for synthesis was found to be a facile, rapid, single-step, safe, and effective alternative to the conventional physical/chemical methods. 2021 The Authors -
The vertex distance complement spectrum of subdivision vertex join and subdivision edge join of two regular graphs
The vertex distance complement (VDC) matrix C, of a connected graph G with vertex set consisting of n vertices, is a real symmetric matrix [cij ] that takes the value n ? dij where dij is the distance between the vertices vi and vj of G for i ? j and 0 otherwise. The vertex distance complement spectrum of the subdivision vertex join, G1 ??G 2 and the subdivision edge join G1 ?G2 of regular graphs G1 and G2 in terms of the adjacency spectrum are determined in this paper. 2021, Krasovskii Institute of Mathematics and Mechanics. All rights reserved. -
Psychological science and COVID-19: An agenda for social action.
This report summarizes what is known about the psychological impact of the COVID-19 pandemic and proposes ways for psychology organizations to engage in addressing pandemic-related challenges. A stress and coping framework is used to describe key factors that account for mental health difficulties resulting from the stress of pandemics including the pandemic course, political leadership and public response, cumulative stressors, risk and protective factors, and coping strategies. Psychology organizations could do much to provide help particularly to vulnerable healthcare and frontline workers, the elderly, and the socially isolated. They could offer clinical services and design prevention programs, train non-professional community workers to provide mental health first aid, assist NGOs and political leaders, and translate basic research on psychological factors that influence acceptance of public health measures. The pandemic occurs at a time of advanced connectivity that provides an opportunity for (a) scientific information exchange, (b) alleviation of distress of social isolation, but also (c) infodemic, unprecedented spread of hoaxes and online incitements to non-compliance with preventative measures. Psychologys role is not limited to addressing mental health needs but also includes promoting adjustment to changes in the economy, education and employment, and developing effective communication strategies that encourage acceptance of public health measures. (PsycInfo Database Record (c) 2021 APA, all rights reserved) 2021 Global Alliance for Behavioral Health and Social Justice -
Discrete Integrity Assuring Slice-Based Secured Data Aggregation Scheme for Wireless Sensor Network (DIA-SSDAS)
In a wireless sensor network, data privacy with a minimum network bandwidth usage is addressed using homomorphic-based data aggregation schemes. Most of the schemes which ensure the end-to-end privacy provide collective integrity verification of aggregated data at the receiver end. The presence of corrupted values affects the integrity of the aggregated data and results in the rejection of the whole data by the base station (BS) thereby leading to the wastage of bandwidth and other resources of energy constraint wireless sensor network. In this paper, we propose a secured data aggregation scheme by slicing the data generated by each sensor node deployed in layered topology and enabling en route aggregation. Novel encoding of data and hash slices based on child order is proposed to enable concatenation-based additive aggregation and smooth extraction of slices from the aggregate by the BS. Elliptic curve-based homomorphic encryption is adopted to ensure end-to-end confidentiality. To the best of our knowledge, the proposed scheme is the first which facilitates the BS to perform node-wise integrity verification, filter out only the corrupted portion, and implement dynamic query over the received data. Communication- and computation-based performance analysis shows the efficiency of the proposed scheme for varied network sizes. The scheme can resist eavesdropping attack, node compromising attack, replay attack, malleability attack, selective dropping attack, and collusion attack. 2021 D. Vinodha and E. A. Mary Anita. -
How Offensive is offensive? A Closer Look at Controversial Advertisements
We live in a world inundated with messages that seek to promote products varied and eclectic in their feel and purpose. Capitalism has rooted itself in many societies; corporate enterprises enthusiastically advertise their products around the world. Over the years we have had countless advertisements bombard us through our TV sets, newspapers, billboards and now through our smartphones. While attention-grabbing, these advertisements are unfortunately often considered questionable. Rising competition among advertisers for consumer attention has led to the production of advertisements that are increasingly risquand frequently downright offensive. There have been growing concerns about the increasingly low standards of advertisements. Be it excessive sexual content, discrimination on grounds of gender, or propagating regressive philosophies, advertisements seek attention for the wrong reasons. While some advertisements were once downright discriminative towards the female population, things seem to have gradually gotten better over the past few years. However, that is not to say that stereotyping and sexism have been wholly eradicated from advertising; these issues are still prevalent today. Though some consumers watch advertisements through a critical lense and critique unethical advertisements, many offensive and discriminative advertisements have still become widely known and popular among viewers. The present paper seeks to explore the idea of offensiveness in advertisements through an analysis of advertising content on the basis of gender discrimination and stereotypical portrayals of gender. Further, a focused group discussion adds audience perspective to the issue as well. Straddled by Uses and Gratification Theory, Social Responsibility Theory, and Self-Construal Theory, this study attempts to explore the concept of the offensiveness of controversial advertisements and to determine the reasons why an advertisement is deemed offensive. It is never too late to question How Offensive is offensive? 2021 Journal of International Womens Studies. -
The Role of Women in the Formation of Organizational Climates in Various Workspaces in Bengaluru, India
This study examined the influence of women in the formation of organizational climates and their effectiveness in this competitive era. Favorable climates and working conditions enhance work quality and increase organizational cohesion that develops interpersonal bonds to accomplish workplace goals. Women have faced multiple challenges in the banking industry. To address gender disparity, women leaders created initiatives to empower women and encourage society to pay attention to gender equality. Bank Presidents and Senior Managers have the responsibility of creating an organizational culture that is safer for women to participate in; organizations should be designed with women in mind. It is true that women employees appear to have a higher level of organizational commitment. They are often considered to be a key talent pool for industries. This study aimed to investigate the engagement of women in their organizational culture and to determine how this correlates with workplace conditions. The present study explored the challenges women face in maintaining positive working conditions and effective operative strategies. We collected data through a structured questionnaire with the help of convenience sampling from 124 working women of commercial, public, and foreign banks situated in Bengaluru. We analyzed the data quantitatively with the Likert scale, ranking analysis, and percentage analysis to identify antecedents of organizational climate and the role of women in building a professional environment. Results revealed that the significant problems faced by women to sustain a healthy climate in the workplace are lack of supervisor encouragement and the disparity in rewards and benefits. We further inferred that women employees shape their attitudes both in their personal and professional lives to accomplish their personal and organizational goals. They prioritize their jobs more than their personal needs to balance their personal and organizational requirements; however, they feel a lack of teamwork and require a better conflict management system. 2021. Journal of International Womens Studies. -
Assessing perceptions of COVID-19 self-protective measures: a structural equation modeling (SEM) approach
Purpose: This study aimed to develop scales to assess perceptions of coronavirus disease 2019 (COVID-19) self-protective measures (SPMs) and examine the psychometric properties based on the theory of planned behavior (TPB). Design/methodology/approach: A total of 412 participants from Bangalore, India, randomly volunteered to participate in this research. The questionnaire consisted of items related to the TPB scales and demographic details. Findings: A structural equation model showed a reasonable model fit. In total, 70% of the individuals' behavioral intentions of following COVID-19 SPMs were predicted by perceived benefits, barriers, social norms and social influence. Participants' age impacted on perceived benefits and perceived social influence and individuals' behavioral intentions of following COVID-19 SPMs, with a 13.6% difference in model prediction. Originality/value: The TPB can be used as a strong psychometric property to assess behavioral determinants of COVID-19 SPMs. 2021, Sangeeta Mehrolia, Subburaj Alagarsamy and Jeevananda S. -
Parallelization of frequent itemset mining methods with fp-tree: An experiment with prepost+ algorithm
Parallel processing has turn to be a common programming practice because of its efficiency and thus becomes an interesting field for researchers. With the introduction of multi-core processors as well as general purpose graphics processing units, parallel programming has become affordable. This leads to the parallelization of many of the complex data processing algorithms including algorithms in data mining. In this paper, a study on parallel PrePost+ is presented. PrePost+ is an efficient frequent itemset mining algorithm. The algorithm has been modified as a parallel algorithm and the obtained result is compared with the result of sequential PrePost+ algorithm. 2021, Zarka Private University. All rights reserved. -
Cloud service negotiation framework for real-time E-commerce application using game theory decision system
A major demanding issue is developing a Service Level Agreement (SLA) based negotiation framework in the cloud. To provide personalized service access to consumers, a novel Automated Dynamic SLA Negotiation Framework (ADSLANF) is proposed using a dynamic SLA concept to negotiate on service terms and conditions. The existing frameworks exploit a direct negotiation mechanism where the provider and consumer can directly talk to each other, which may not be applicable in the future due to increasing demand on broker-based models. The proposed ADSLANF will take very less total negotiation time due to complicated negotiation mechanisms using a third-party broker agent. Also, a novel game theory decision system will suggest an optimal solution to the negotiating agent at the time of generating a proposal or counter proposal. This optimal suggestion will make the negotiating party aware of the optimal acceptance range of the proposal and avoid the negotiation break off by quickly reaching an agreement. 2021 - IOS Press. All rights reserved.