Browse Items (11810 total)
Sort by:
-
Understanding feminism on online platforms: Exploration and analysis of two online platforms
This article explores how feminism is practised and communicated on digital plat-forms. Feminism in India and Khabar Lahariya are two online platforms studied with interviews of respondents to understand how the online spaces are used for knowledge sharing that take feminist perspective. New media opened up spaces for people to communicate from any part of the world, create media content and circulate it. Visibility, privacy, accessibility and risks are negotiated by the report-ers and content creators to produce alternative cultural production from an inter-sectional feminist standpoint. 2022 Intellect Ltd Article. -
Influence of agricultural wastes on larval growth phases of the black soldier fly, Hermetia illucens (Diptera: Stratiomyidae): An integrated approach
Insects are an effective tool for converting nutrients in agricultural by-products into protein-rich biomass and compost. Black soldier fly (BSF) (Hermetia illucens) larvae are currently one of the insect species widely used as a protein source in aquafeed globally. Although much effort has been spent on the use of BSF in aquafeed, there is not much information on the biology of the insect, especially with the morphology of the BSF. This study aimed to evaluate the influence of various organic wastes, such as fruit wastes (FW) and vegetable wastes (VW), on different growth phases of BSF larva (BSFL), using morphometric and scanning electron microscopic examinations, and the composition of the compost produced, as well as a method for upscaling of larval production of BSFL. Faster growth was observed in BSFL fed with VW substrate (40 days) compared to the FW (46 days). Based on the morphometric measurements such as length, larval head length, total length etc., five larval stages, prepupal and pupal stage of BSFL were differentiated and described. In addition, SEM imaging of BSF mouth parts found that the mouth morphology of the BSF larvae and prepupal stage differed, and the BSF prepupa had reduced mouthparts. Also, the mandibular-maxillary complex was well developed than the BSF prepupa. BSFL larvae have proven to convert fruit and vegetable waste into high-quality residue fertilizer for the soil. The BSF compost showed optimum nitrogen, phosphorous, potassium, calcium and sulphur content. This research establishes a baseline knowledge and guidance on the BSF-rearing facilities. Author (s). Publishing rights @ ANSF. -
Deep vs. Shallow: A Comparative Study of Machine Learning and Deep Learning Approaches for Fake Health News Detection
Internet explosion and penetration have amplified the fake news problem that existed even before Internet penetration. This becomes more of a concern, if the news is health-related. To address this issue, this research proposes Content Based Models (CBM) and Feature Based Models (FBM). The difference between the two models lies in the input provided. The CBM only takes news content as the input, whereas the FBM along with the content also takes two readability features as the input. Under each category, the performance of five traditional machine learning techniques: - Decision Tree, Random Forest, Support Vector Machine, AdaBoost-Decision Tree and AdaBoost-Random Forest is compared with two hybrid Deep Learning approaches, namely CNN-LSTM and CNN-BiLSTM. The Fake News Healthcare dataset comprising 9581 articles was utilized for the study. Easy Data Augmentation technique is used to balance this highly imbalanced dataset. The experimental results demonstrate that Feature Based Models perform better than Content Based Models. Among the proposed FBM, the Hybrid CNN - LSTM model had a F1 score of 97.09% and AdaBoost-Random Forest had a F1 Score of 98.9%. Thus, Adaboost-Random Forest under FBM is the best-performing model for the classification of fake news. 2013 IEEE. -
A Psychological Analysis of the Structural, Socio-Cultural, And Legal Aspects of Women's Rights, their Societal Development & Superstition-Gender-Based Violence and their Eradication Alarming Practice
This comparative analysis examines the phenomenon of witch hunting as an organized crime against women in India. It explores the similarities between witch hunting and organized crime, shedding light on the structural, socio-cultural, and legal aspects of this alarming practice. The analysis delves into the systematic targeting of women, the role of patriarchal power dynamics, economic motivations, legal frameworks, and the profound impact on victims. This exploration aims to enhance understanding of the complex dynamics surrounding witch-hunting as an organized crime against women in the Indian context. Witch-hunting, a deeply rooted, superstition-based practice continues to plague several regions of India. This practice has fostered another category of gender-based violence, making women the primary victims of witch-hunts over time. The paper delves into the prevalent issue of witch-hunting, focusing on its organized nature and thus, drawing a synonymity between witch-hunts and organized crimes. The paper also aims to analyze the various factors contributing to the organization of witch-hunting and its implications on women's rights and societal development. By examining historical contexts, cultural beliefs, socio-economic factors, and legal frameworks, this research seeks to shed light on the complex nature of this crime and propose strategies for its eradication. 2023, Journal for ReAttach Therapy and Developmental Diversities. All Rights Reserved. -
Hope, Belief in Just World and Trust in Government: An Interaction Amidst Covid-19 Pandemic in India
The outbreak of COVID 19 has brought about changes in all spheres of human life. In the present times of pandemic, human life has suffered not only from physical stresses but also encountered and endured several mental stresses. In recent times people adopted several measures to bring positivity to their life. The present study explores the relationship between- Hope, Belief in Just World, Covid ?19, and Trust in the Government in India, during the Covid-19 Pandemic. Data was collected online from young adults, via Google forms, using the tools- Adult Hope scale, Covid Anxiety scale, Belief in Just world scale, and Trust in Government. Results showed a significant correlation between the three variables. Hope, Belief in Just World, and Trust in government. Regression analysis found these three variables to significantly impact Covid anxiety. Further, Belief in Just World was found to mediate the relationship between Hope and Covid anxiety. During challenging times, it is important to boost mental health in the right direction. Implications have been further discussed in the article. The Author(s) 2023. -
Bioconversion of chicken feather waste into feather hydrolysate by multifaceted keratinolytic Bacillus tropicus LS27 and new insights into its antioxidant and plant growth-promoting properties
Abstract: Keratin, the main structural constituent of feathers, contains a lot of valuable amino acids which are potential bioactive compounds as well. Since conventional methods are not efficient enough to achieve complete removal of chicken feather waste, biological mode of feather degradation is one of the most appropriate ways to utilize feathers, thereby reducing wastes as well as generating value-added products from feathers. This study was focussed on valorizing chicken feather into feather hydrolysate (FH) containing bioactive compounds for plant growth promotion. Keratinolytic bacteria capable of degrading chicken feathers were isolated from the poultry waste dumping site of Russell Market, Shivajinagar, Bangalore, Karnataka, India. The isolated bacteria was identified as Bacillus tropicus LS 27. A minimal media with chicken feather as the sole source of carbon and nitrogen was prepared and inoculated with Bacillus tropicus LS 27 [5% (v/v)]. Degradation of keratin protein by bacteria caused the solubilization of amino acids which was confirmed by high-performance liquid chromatography (HPLC) analysis where an appreciable amount of amino acids like cysteine, valine, isoleucine, proline, lysine, methionine, and phenylalanine was detected. The Fourier transform infrared spectroscopy (FTIR) analysis of hydrolysed chicken feathers showed C=0 stretching, S-H bond stretching, and formation of carboxylic acid groups indicating effective degradation of chicken feathers. Scanning electron microscope (SEM) images revealed the degradation pattern of feathers showing complete degradation of barbs and barbules with a portion of rachis remaining. Feather hydrolysate was further explored for its antioxidant activity using DPPH scavenging assay, and the value was found to be 1.5 mg/mL. The bacterial cells when screened for heavy metal tolerance showed significant metal tolerance to lead (Pb) and chromium (Cr). Since Bacillus tropicus LS27 showed indole-3-acetic acid (IAA), siderophore, and ammonia production, the prepared feather hydrolysate along with the bacterial cells were used as soil amendment for plant growth studies over Spinacia oleracea L. The study revealed that plants supplemented with 20% (v/v) FH showed elevated plant growth, therefore proving to be optimum for the support of plant growth. Graphical abstract: [Figure not available: see fulltext.] 2023, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature. -
Performance analysis of alternating minimization based low complexity detection for MIMO communication system
Several antennas are used for sending and receiving in large MIMO (Multiple-Input-Multiple-Output) devices and assist in enhanced performances of wireless communication systems. One important component of Large MIMO systems is that MIMO detectors are placed at receiver ends, whose functions are to regain symbols broadcasts from multiple antennas. In this paper, novelAMLCD (Alternating Minimizationbased Low Complexity Detections) method is proposed in which AMs (Alternating Minimizations) are applied in initial stages to detect signals. Soft value generation is used for the second stage to estimate the signals. Finally, the more optimal estimated signal value will be chosen by applying the MPSOs (Modified Particle Swarm Optimizations). The system's functions are evaluated using CPMs (Continuous Phase Modulations) and channels AWGNs (Additive White Gaussian Noises). According to the results obtained, the suggested AMLCD method with modulations of CPMs outperform known methods using QAMs (Quadrature Amplitude Modulations) under multiple antennas in terms of BERs (Bit Error Rates). The AMLCD method also reduces the time complexity and computational complexity compared to the existing methods. 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. -
Enhancing the job scheduling procedure to develop an efficient cloud environment using near optimal clustering algorithm
In this internet era, cloud computing and there are various problems in the cloud computing, where the consumers as well as the service providers facing in their day to day cloud activities. Job scheduling problem plays a vital role in the cloud environment. To provide an efficient job scheduling environment, it is necessary to perform efficient resource clustering. In this regard, the proposed system, concentrated on the resource clustering methodology by proposing an efficient resource clustering algorithm named identicalness split up periodic node size (ISPNS) in the cloud environment. The algorithm proposed helps in forming resource clusters with the help of cloud environment. The proposed system is compared with the existing systems to justify the performance of the proposed resource clustering algorithm and it produces near optimal solution for the resource clustering problem which helps to provide an efficient job scheduling in cloud environment. Copyright 2023 Inderscience Enterprises Ltd. -
Corporate Social Performance and Firm Location: Empirical Evidence
The study addresses the relationship between firm location and the corporate social performance (CSP) of manufacturing enterprises in India. The study argues that a higher number of multinational corporations (MNCs) at a location leads to higher social performance. An environment and social involvement (ESI) index, based on ISO26000 and National Voluntary Guidelines, has been used to measure the corporate social performance of manufacturing enterprises. The data are obtained through questionnaires from a survey of 121 medium-sized manufacturing enterprises in the national capital region in India and analyzed through one-way ANOVA and linear regression. Results reveal that the presence of MNCs at the location of enterprises is significant to their CSP. The findings of the study aggregate to make original and substantive contributions to the CSP literature on the geography of strategic management. This research is valuable for social responsibility practitioners in developing countries for start-ups and small and medium enterprises who are seeking to enhance their understanding to formulate pragmatic and effective strategies to improve CSP. 2023 IGI Global. All rights reserved. -
An Intelligent Hybrid GA-PI Feature Selection Technique for Network Intrusion Detection Systems
The development of Network Intrusion Detection Systems (NIDS) has become increasingly important due to the growing threat of cyber-attacks. However, with the vast amount of data generated in networks, handling big data in NIDS has become a major challenge. To address this challenge, this research paper proposes an intelligent hybrid GA-PI algorithm for feature selection and classification tasks in NIDS using support vector machines (SVM). The proposed approach is evaluated using two sub-datasets, Analysis and Normal, and Reconnaissance and Normal, which are generated from the publicly available UNSWNB-15 dataset. In this work, instead of considering all possible attacks, the focus is on two attacks, emphasizing the importance of the feature selection agent in determining the optimal features based on the attack type. The experimental results show that the proposed hybrid feature selection approach outperforms existing methodologies in terms of accuracy and execution time. Moreover, the selection of features can be subjective and dependent on the domain knowledge of the researcher. Additionally, the proposed approach requires computational resources for feature selection and classification tasks, which can be a limitation for resource-constrained systems. To be brief, this research paper presents a promising approach for feature selection and classification tasks in NIDS using an intelligent hybrid GA-PI algorithm. While there are some challenges and limitations, the proposed approach has the potential to contribute to the development of effective and efficient NIDS. 2023, Ismail Saritas. All rights reserved. -
Exploring Cross-cultural Comfort Food Narratives in Beryl Shereshewskys YouTube Videos
This article explores how certain food and the stories linked to the same are capable of evoking feelings of comfort and security. Food binds people together. The rituals and practices surrounding food inspire and sustain the association of various memories, experiences and emotions. The area of food studies is especially interested in how these linkages translate into the practice of nourishment. The narratives surrounding comfort food take on a cross-cultural flavour in the videos from Beryl Shereshewskys YouTube channel. This article analyses these narratives through the lens of Symbolic Interactionism to explicate how these food narratives bring people together from across the world by evoking the universal needs of food and comfort. Consequently, it is seen that even though it is true that the experience of consuming comfort food is extremely personal, it is also rendered as a universal phenomenon through the narratives that are created and shared. 2023 MICA-The School of Ideas. -
Do Tourists' Motives Alter Based on What They See on E-Sources of Information? An SEM Approach to Determine the Impact
With growing competition in the tourism industry and changing tourists' expectations, motives and behavior, marketers are at the outset to promote, position and brand their tourism destinations lucratively. Though there are many allied themes on destination branding and marketing arena, tourists' motives have been widely looked up as research emphasis the dynamic revamps being seen with the intervention of digital sources of information. However, research at this aspect is at gradual phase. This paper focuses on such a theme and tries to understand the significant impact of tourists' behavior towards esources of information on their motives. Literary sources have been analyzed and hypothesis has been formulated. To test the assumption, the research location has been chosen - a district in Tamil Nadu state which serves wide range of tourists' motives and bestowed with distinct tourism attractions. A Structured questionnaire containing the necessary items measuring the study factors has been floated to 422 tourists through convenient sampling technique. However, 327 have been rounded as the final sample after excluding the illegible responses. Three Stage Analysis has been performed where Exploratory Factor Analysis (EFA) has been sued for data reduction and exploring the new factors, Confirmatory Factor Analysis (CFA) has been used for identifying and confirming the individual models and Structural Equation Modelling (SEM) has been used for understanding the structural relationship between the factors. Model fit has been found for CFA and SEM. Significant impact has been found by tourists' behavior towards the esources of information on tourists' motives. Simple Percentage Analysis (SPA) has been used to analyze the distribution of respondents based on their personal factors. Suggestions to the marketers and policy makers have been provided through managerial implications. Theoretical recommendations have also been narrated. Copyright IJHTS. -
Hycons Renewable Private Limited: Viable Biogas Production from Paddy Straws: A Capital Budgeting Decision
The case revolves around the decision to be taken by Mr Sashikant Hegde, Managing Director, Hycons Renewable Private Ltd, on the project viability of a business proposal. The proposal was to start a manufacturing plant in Punjab to produce compressed biogas using paddy straws. Hegde firmly believed that the company would do well considering the growth of the CNG market in India, as the oil and natural gas sector in India is among the top 10 core industries in the country and plays an important role in the existence of other important sectors as well. The proposal would benefit Hycons to establish its presence in northern India, but the project viability and funding of the investment remained an unanswered question. 2023 Lahore University of Management Sciences. -
Molecularly imprinted graphene based biosensor as effective tool for electrochemical sensing of uric acid
Graphene oxide based molecularly imprinted polymer was designed by incorporating vinyltrimethoxysilane into the layers of graphene oxide, which was copolymerized with functional monomers such as Itaconic acid (IA) and methyl methacrylate (MMA) was developed via bulk imprinting technique. The prepared polymer was studied for selective sensing the uric acid (UA) in blood serum. The electrode was constructed by modifying bare glassy carbon electrodes with the prepared molecularly imprinted polymer (MIP) via drop cast method. Electrochemical measurements were made by Cyclic voltammetric (CV) and Differential Pulse Voltammetric (DPV) response of the sensor. The physical and chemical properties of the resultant material will be characterized by FTIR spectroscopy, XRD and FESEM. The constructed sensor showed a regression coefficient (R2) of 0.9302 with limit of detection (LOD) of about 0.565 ??M. The developed sensor is reusable without any compromise in its selectivity. All the results confirm that the constructed biosensor requires no pre-treatment of samples and is suitable for real sample analysis. 2023 The Authors -
Mathematics Self-Efficacy, Utility Value and Well-Being Among School Students in India: Mediating Role of Student Engagement
Teaching and learning mathematics has many challenges, including student engagement, attitudes and beliefs toward mathematics. Students experience stress and anxiety while learning mathematics. Mathematics is perceived as a complex subject. Student self-efficacy and a sense of utility value of mathematics topics can impact student learning and well-being. The current study aims to examine the mediating role of student engagement on the relationship between mathematics self-efficacy, utility value and well-being among students. A cross-sectional survey of 774 eighth-grade students (491 male and 283 female) from India was carried out using standardized scales to measure the study variables. The mediation analysis tested two conceptual models. The findings indicate that student engagement mediates the relationship between self-efficacy and student well-being (model 1), and student engagement mediates the relationship between utility value and student well-being (model 2). The structural equation model results indicate an acceptable fit of the tested conceptual models. The study findings call for focusing on socio-emotional aspects of mathematics learning to improve the well-being of students. 2023 Research Council on Mathematics Learning. -
Social media disorder in relation to device screen time and autosuggested social media content engagement; [Zislost zp?soben?asem stren na socinh sh v souvislosti s automaticky generovan obsahem na socinh sh]
Though emerging technology offers people a comfortable life, a few adverse effects also exist. There was a rapid increase in mobile phone usage and internet consumption during and post the Covid-19 pandemic, which reached the extent of addiction among youths. Thus, this study examines social media disorder among adolescents in relation to the time spent on a computer or smart-phone device screen and engaging in autosuggested social media content. The study included 235 responses from students in higher secondary schools of Bangalore, India. The study found a significant positive correlation between device screen time, autosuggested social media content engagement (ASMCE), and social media disorder. Multiple regression analysis indicated that 56.5% of social media disorder among adolescents is due to the time spent on a computer or smart phone device and autosuggested social media content engagement. The study did not measure any differences in social media disorder based on the demographic details of the study participants. As social media disorder affects the mental health of adolescents, especially in post pandemic times, and further affects their academic performance, the researchers suggest that future studies explore the other factors causing social media disorder. 2023 The Authors. -
Integrity assured multi-functional multi-application secure data aggregation in wireless sensor networks (IAMFMA-SDA)
Industrial revolutions and demand of novel applications drive the development of sensors which offer continuous monitoring of remote hostile areas by collecting accurate measurement of physical phenomena. Data aggregation is considered as one of the significant energy-saving mechanism of resource constraint Wireless Sensor Networks (WSNs) which reduces bandwidth consumption by eliminating redundant data. Novel applications demand WSN to provide information about the monitoring region in multiple aspects in large scale. To meet this requirement, different kinds of sensors of different parameters are deployed in the same region which in turn demands the aggregator node to integrate diverse data in a smooth and secure manner. Novelty in applications also requires Base station (BS) to apply multiple statistical functions. Hence, we propose to develop a novel secure cost-efficient data aggregation scheme based on asymmetric privacy homomorphism to aggregate data of multiple parameters and facilitate the BS to compute multiple functions in one round of data collection by providing elaborated view of monitoring region. To meet the claim of large scale WSN which requires dynamic change in size, vector-based data collection method is adopted in our proposed scheme. The security aspect is strengthened by allowing BS to verify the authenticity of source node and validity of data received. The performance of the system is analyzed in terms of computation and communication overhead using the mathematical model and simulation results. 2023 - IOS Press. All rights reserved. -
Numerical study on magnetohydrodynamics micropolar Carreau nanofluid with Brownian motion and thermophoresis effect
The current work explores the investigation of the influence of nonlinear thermal radiation on unsteady, magnetohydrodynamics boundary layer flow of micropolar Carreau nanofluid past a stretching sheet. Viscous dissipation, internal heating, Brownian motion, heat source/sink, thermophoresis, chemical reaction, and Joule heating effects are considered in the study. To analyze the model, the governing partial differential equations are rephrased and written in the non-dimensional form with the relevant dimensionless quantities. To obtain the solutions, the nonlinear non-dimensional governing equations are numerically solved using finite difference approximation. The impact of every significant flow parameter on fluid motion, micro-rotation, temperature, concentration, surface drag, heat, and mass transfer rates are presented through plotted graphs and tables. It is noted from the study that the fluid flow and angular motion increase, whereas the temperature declines with higher values of the micropolar constant. Further, it is noticed that thermal distribution is a rising function of radiation parameter, and due to the nonlinear thermal radiation effect, there is an increase of 4.903% in temperature distribution when compared to linear thermal radiation. To support the validity of the solutions, a comparison was made with notable results from the existing literature for the specific case of this study. 2023 Informa UK Limited, trading as Taylor & Francis Group. -
Abjection and Intersecting Trans Women Identities: Examining Doing Gender through Malayalam Movies Ardhanaari and Njan Marykutty; [Abjeo e Identidades de Mulheres Trans Interseccionadas: Examinando Fazendo Gero atrav dos Filmes em Malayalam Ardhanaari e Njan Marykutty]; [Examinando hacer gero a trav de las pelulas en malayalam Ardhanaari y Njan Marykutty]
The non-confirmation to vexed societal gender norms places trans identities in an abjected state. Media, mainly cinema, plays an indispensable role in shaping, shunning, and promulgating such ideologies. To understand this discourse, the Malayalam films Ardhanaari (2015) and Njan Marykutty (2018) are taken to examine the question of abjection, a concept by Kristeva, and doing gender, by West and Zimmerman. The study argues that the abjection trans identities face forces them to perform their gender in accordance with cisnormative femininity. The study further argues that trans identities should embrace abjection and employ it as a political tool to disrupt the established hegemonic traditional gender structure and its definitions. 2023 Universidad de Guadalajara. All rights reserved. -
Work-Cognition and Subjective Well-being Among Female Professional Educators During the COVID-19 Pandemic: Moderating Role of Resilience
Teaching demands educators to be both caretakers and educators, leading to significant cognitive and emotional strain. The pandemic has worsened these challenges, requiring teachers to seek psychological and professional support. Online teaching has added to these difficulties, with educators having to adapt to new technologies while managing virtual classrooms and addressing the unique needs of students in remote learning environments. This present study sought to understand the relationship between work cognition (WCog) and subjective well-being (SWB) among female professional educators during the COVID-19 pandemic. The study also examines the moderating effect of Resilience (RSL) on the association between WCog and SWB. Using a purposive sampling technique, data was collected through an online survey from 181 female professional educators in India. Female professional educators reported moderate levels of WCog, high levels of RSL, and high levels of SWB, which indicates that the female professional educators faced cognitive and emotional strain during online teaching but demonstrated resilience and maintained positive well-being. RSL moderated the relationship between WCog and SWB, highlighting its influence on educators cognitive management and well-being during online teaching. These insights have implications for support system to enhance the well-being of educators and promoting their professional development. The Author(s) 2023.