Browse Items (5511 total)
Sort by:
-
Problem-Based Learning for Critical Reflections on Skill-based Courses Using DEAL Model
Higher education institutions focus on i mpr ovi ng bot h sof t ski l l s and engi neer i ng proficiencies among students. The learning progress requires a systematic assessment to know the areas of improvement to meet global competitiveness. Self-reflections and critical reflections on knowledge, skill, and behavior are crucial for an industry-ready graduate. Our work deals with conceptualization, course design, and rubrics design to achieve critical reflections on the graduate outcomes of the students. We have designed the rubrics to assess the behavioral and engineering skills needed to solve complex engineering problems that can be solved better as a team for life-long learning and developing ethical interpersonal skills. Our assessment patterns also helped students achieve higher-order thinking skills through experiential learning. 2024, Rajarambapu Institute Of Technology. All rights reserved. -
Problems and perspectives in inventory management of fruits and vegetables at HOPCOMS, Bangalore
Increase in demand for Fruit and Vegetables has augmented over the years. Being perishable they are restricted to a limited life span. The time dependency on perishable commodities acts as a barrier to retain the freshness and quality in fruits and vegetables for a longer period. Therefore, Inventory management is vital to manage perishable commodities as it brings in transparency to the actual demand from the customers. The retailer being the key element in the supply chain to come in contact with the customer should follow up with techniques to manage overstocking and stock out situation. The present study focuses on bringing in inventory management in HOPCOMS, a cooperative society in Karnataka. In the road to satisfy the customers, it is necessary for the society to come up with different strategies to manage the inventories. Different inventory evaluation methods are studied in relation to perishable commodities and the factors affecting the same. FIFO (first in first out) an inventory evaluation method was found to be more efficient and must be considered practically by the retailers to manage inventories during the sales. However, with efficient infrastructural facilities, interference of state government to bring in cold storage facilities and, creating awareness regarding the actual demand for a commodity in the market, the retailer would be able to balance overstocking and stock out situation in the future. 2019, Institute of Advanced Scientific Research, Inc. All rights reserved. -
Problems with the advocates (Amendment) bill, 2017 /
International Journal Of Science And Research, Vol.6, Issue 6, pp.2066 - 2068, ISSN: 2319-7064 (Online). -
Process of Emotion Regulation in Indian Couples During Gottmans Dreams-Within-Conflict Intervention: A Mixed-Methods Design Study
Gottman Couple Therapy (GCT) is based on 40 + years of empirical findings and advocates process research, enabling an understanding of how an intervention works. Dreams-within-Conflict (DWC) is a GCT technique that softens the stand on unresolvable issues by facilitating positive emotion regulation strategies such as expressing vulnerabilities, understanding, and soothing in place of destructive strategiessuch as criticism and defensiveness. The aim of the study is to understand the emotion regulation process during a one-session DWC intervention using a convergent parallel mixed-methods design examining N = 30 individuals (15 couples) during the DWC intervention. The changes in emotion regulation strategies (Extrinsic/Intrinsic affect Worsening/Improving strategiesEW, IW, EI, II) in partners were examined in the presence of individual characteristics of emotion regulation traits (cognitive-reappraisal and suppression) and beliefs using self-assessment questionnaires, feedback reports, thematic coding of video recordings, and a semi-structured interview. Paired-samplest-test results showed that DWC fosters emotion regulation strategies by significantly decreasing partners EW and increasing EI and II strategies. Though IW strategies declined during-DWC, the changes were not significant. Hierarchical linear modeling findings showed that before-DWC emotion regulation strategies, gender, and individual emotion regulation traits of cognitive-reappraisal and suppression predicted EI, and before-DWC strategies predicted II, but none of the variables predicted EW and IW during-DWC. To further understand the interventional implications, the emotional regulation strategies and preferences for expression (over suppression) shared by the Indian couples were examined using thematic analysis. The results show that avoidance, conflict behaviors, and prioritizing parents emotions over partners (in men) were the most often employed regulatory strategies. Simultaneously, Indian couples unanimously agreed that expression of emotions was a crucial factor for marital satisfaction. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. -
Process scheduling in heterogeneous multicore system using agent based graph coloring algorithm
In any heterogeneous multicore system, there are numerous amount of processors with different platform and all the processing units are fabricated on a common single unit preferably on a System on Chip. As there is a tremendous amount of parallelism encompassed in a multicore system, proper utilization of the cores is a big challenge in the current era. Hence a more automated software approach is required like an agent based graph coloring algorithm to find the free processor and schedule the tasks on the respective cores. Predominantly the entire process of scheduling the tasks on multicore system is based on arrival time of process. This paper incorporates the scheduling on the linux 2.6.11 kernel and GEMS simulator for multicore implementation. The core utilization in this type of agent scheduling is 50% more than the existing scheduling mechanism. BEIESP. -
Product specific determinants of electronic gadget purchase intention - a case of the purchase behaviour of Indian youth
This study investigated the impact of product specific features of electronic gadgets on the purchase intention on the Indian youth. The study was quantitative in nature and data was collected from 650 young electronic gadget consumers in Bengaluru, India using structured questionnaires. Descriptive statistics and structural equation modelling (SEM) were used for data analysis. Brand image, product design, and country of origin are referred as product evaluation attributes; and corporate identity were identified as the determinants of purchase intention. Respondents were neutral regarding the role of product evaluation attributes and corporate identity in their purchases, but acknowledged these factors' importance. Findings implied a positive and significant influence of product evaluation attributes on the corporate identity of companies, and purchase intention of the youth. However, corporate identity did not influence purchase intention, clearly indicating that only product specific features, such as brand, design and country of origin are considered when youngsters purchase gadgets. Copyright 2022 Inderscience Enterprises Ltd. -
Production of bio-diesel from non-edible dried fruits of lagerstroemia speciosa
Rapi d urbani zat i on and i ncr ease i n population have evoked tremendous attention for biofuelsproduction to combatshortage of fuels, environmental concerns, foreign exchange savingsand socioeconomic issues.In recent years bi odi esel product i on f rom agro-i ndust ri al feedstocks such as waste vegetable oil, animal fat, grease, non-edible fruit oils etc.,acquired prominent place to fulfil the gap between production and demand. The present investigation has been undertaken to explore a noveland environmentally friendly process for developing biodiesel production t echnol ogy by subj ect i ng dr i ed f r ui t s of Lagerstroemia speciosa to mild ultrasonication at 33KHz for 20 min at 352Cfor obtaining high lipid yield, precursor for the production of biodiesel by transesterification.The biodiesel compounds 2,4-di-tert-butylphenol, hexadecanoic acid methyl ester, 9,12-octadecadienoic acid (Z, Z) methyl ester, 9-octadecenoic acid methyl ester, methyl stearate, cis-11,14-eicosadienoic acid methyl ester, 18-methylnonadecanoate were recognized as the main compounds in GC-MS analysis. 2020, Association of Biotechnology and Pharmacy. All rights reserved. -
Production of biodiesel from waste fish fat through ultrasound-assisted transesterification using petro-diesel as cosolvent and optimization of process parameters using response surface methodology
Biodiesel is a highly promising and viable alternative to fossil-based diesel that also addresses the urgent need for effective waste management. It can be synthesized by the chemical modification of triglycerides sourced from vegetable origin, animal fat, or algal oil. The transesterification reaction is the preferred method of producing biodiesel. However, the non-miscibility of alcohol and oil layer causes excessive utilization of alcohol, catalyst, and a substantial reacting time and temperature. In the current investigation, transesterification of waste fish oil was performed with petro-diesel as cosolvent, under the influence of ultrasound energy. The combination of both techniques is a unique and efficient way to minimize the mass transfer limitations considerably and hence reduces the parameters of the reaction. It is also a sincere effort to comply with the principles of green chemistry. The optimum reaction conditions were obtained using response surface methodology (RSM) that were as follows: molar ratio of methanol to oil 9.09:1, catalyst concentration of 0.97 wt%, cosolvent concentration of 29.1 wt%, temperature 60.1?, and a reacting time 30min. Under these listed conditions, 98.1% biodiesel was achievable, which was in close agreement with the expected result. In addition, the cosolvent removal step from the crude biodiesel was also eliminated as it could be employed as a blended fuel in CI engines. The Author(s) 2024. -
Production of Boeravinone-B, total phenolic, flavonoid content and antioxidant activity from callus cultures of Punarnava (BoerhaviadiffusaL.)
Boerhavia diffusa L. (Punarnava) is a medicinal herb, rich in diversified plant secondary metabolites used in curing various health ailments. Boeravinone-B is one of the important phytochemicals reported in Punarnava, possessing various pharmacological activities. It belongs to the family of rotenoids, belonging to the isoflavone group. Production of Boeravinone-B from the Punarnava through conventional propagation is comparatively very low, and alternative interventions are of utmost importance to meet the growing demand. In view of this, the present study aims to develop biotechnological approaches like cell/tissue culture as a substitute strategy for the accumulation of biomass and Boeravinone-B biosynthesis. Callus was established from leaf explants of Boerhavia diffusa L. when cultured on MS semi solid medium fortified with varied concentrations and combinations of auxins and cytokinins. The callus induced on Murashige and Skoog medium (MS medium) supplemented with 5.0 ppm 2,4-Dichlorophenoxyacetic acid (2,4-D) favored the highest production of Boeravinone-B analyzed through High-performance Liquid chromatography (HPLC) and it was found to be 673.95 ?g g-1 Dry weight (DW). The total phenolic and flavonoid content were determined for the callus extracts and the results showed that callus induced on 5.0 ppm 2,4-D medium showed the highest phenolic and flavonoid content, which was 63.48 mg g-1 Gallic acid equivalent (GAE) Dry weight (DW), and 30.22 mg g-1 Quercetin equivalent (QE) DW. Similarly, antioxidant activities (radical scavenging, metal chelating, and reducing power) were performed, and it was found that callus induced on 5.0 ppm 2,4-D showed the highest anti-oxidant potential. Radical scavenging activity was found to be 91.1%, and 74% of metal chelating activity was recorded, and a similar trend was observed with respect to reducing power as well. The results of the present study lay foundation for optimization and subsequent large-scale production of Boeravinone-B from callus/cell suspension cultures. The Author(s). This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited (https://creativecommons.org/licenses/ by/4.0/) -
Production of gymnemic acid from cell suspension cultures of gymnema sylvestre /
Protocols For In Vitro Cultures And Secondary Metabolite Analysis Of Aromatic And Medicinal Plants, Part of the Methods in Molecular Biology book series (MIMB,volume 1391), pp.229–239; 2nd ed. -
Professional Ethics of Teachers in Educational Institutions
Artha Journal of Social Sciences, Vol-11 (4), pp. 24-32. ISSN-0975-329X -
Professional quality of life of nurses with 6-8 years of work experience
The current research investigation was undertaken to understand the relationship of professional quality of life of nurses with self-efficacy, empathy and aggression. Professional quality of life is the quality one feels in relation to their work as a helper (Stamm 2010). It includes the positive component of compassion satisfaction and two negative components of burnout and secondary traumatic stress. Nursing professionals with 6-8 years of work experience and employed in Punjab, India were taken for the purpose of the study. Fantasy seeking was found to be a positive predictor of compassion satisfaction explaining 4% of variance. Self-efficacy and empathic concern were found to be negative predictors while verbal aggression was found to be a positive predictor of burnout. Together the three predictors accounted for 17% of variance in burnout. Personal distress was a positive predictor of secondary traumatic stress explaining 8% of variance. Implications are discussed with in light of professional quality of life of nurses who hold a considerable amount of work experience in the nursing profession. 2021 Ecological Society of India. All rights reserved. -
Proficient randomized response model based on blank card strategy to estimate the sensitive parameter under negative binomial distribution
This paper has great potential for estimating population proportion who possess stigmatized character by using Negative binomial distribution as a randomization device. The properties of the proposed estimation procedure have been examined. Measure of privacy protection for the proposed randomization device has been also quantified. Empirical studies are performed to support the theoretical results, which show the dominance of the proposed estimator over its competitors. Results are analysed and suitable recommendations are put forward for survey practitioners whenever they deal with sensitive characteristics. 2021 -
Profiles of Victimized Outpatients with Severe Mental Illness in India
Persons with severe mental illness (PwSMI) are at risk of being victimized due to persistent cognitive, emotional, and behavioral symptoms, which can become potential threats for effective reintegration into the community. A total of 217 PwSMI, receiving outpatient psychiatric treatment from a tertiary hospital, were screened for abuse, and if they were identified as abuse, then information about contextual factors contributing to abuse, sociodemographic, family, and clinical and legal profiles was created. Overall, 150 PwSMI were victimized, of which 56% were females, 50.7% were married, 20.7% were educated up to middle school, and 31.4% were homemaker. The most common form of diagnosis was schizophrenia (43.3%), with a mean duration of illness of 14 years. All the victimized PwSMI were subjected to emotional abuse. PwSMI were more likely to be victimized by multiple family members due to poor knowledge and understanding about illness (24%). The majority of the PwSMI had disclosed abuse (62.7%) to nonformal sources (33.3%) with no documentation in the clinical file (82.7%). PwSMI experience ongoing abuse and are more likely to be re-victimized, which increases the need for regular screening and culturally sensitive and comprehensive community-coordinated care and support. 2023 Indian Journal of Community Medicine. -
Progress in bio-based biodegradable polymer as the effective replacement for the engineering applicators
The development of biopolymers has significantly touched each and every sphere of human life due to their eco friendliness and biodegradability. In recent decades, the production of biopolymers gained profound attention due to the serious environmental concerns and threat to the non-renewable resources. The increased use of synthetic plastic in biomedical and engineering applications stays as a major threat to environment when these xenobiotics enter the food chain and soil upon their careless discharge after use. The significant material properties of plastic has made it as an inevitable part in our day to day life, but the concern over the environment directs the research focus on searching and developing biopolymers and bio composites as sustainable alternatives for their synthetic counterparts. Biopolymers of commercial interest can be majorly produced intracellularly by microbes or can be extracted through chemical or biological methods from plant and animal based substrates. The potential candidates with high market value with specific reference to biomedical engineering and tissue engineering include as polyhydroxyalkanoates, cellulose, chitosan and chitin, hydroxyapatite, and pectin. Despite of having high degree of biocompatibility, the major hurdle that retracts their widespread use commercially is attributed to the cost of production. This can be tackled out by exploiting cheap raw materials like agro waste as substrate and by employing green approaches over solvent based conventional extraction methods. The reduction in the material properties of purified biopolymers restricts their widespread application especially in the fabrication of thermoplastic blends. This can be resolved by production of bio composites with improved properties than their parent biopolymers. The current review focuses on the recent developments in biopolymer science especially with regard to its application in engineering majorly biomedical and tissue engineering. This study throws light on the biosynthetic pathways, extraction methods and applications of commercially important biopolymers. Furthermore, the challenges, limitations, and future prospects in the production and commercialization of biopolymers is briefly discussed in this review. 2022 Elsevier Ltd -
Progressive crude oil distillation: An energy-efficient alternative to conventional distillation process
Distillation, the major process in crude oil refineries as of now. In this work we focused the attention to energy saving with respect to an industrial crude oil distillation unit. An alternative to the conventional crude oil distillation model present in the Bharat Petroleum Corporation, Kochi Refinery is proposed and simulated. The theoretical predictions as well as the simulated results indicate that the Progressive crude oil distillation reduces the utility burden as well as increase the extraction of more valuable light components. The simulation was carried out using Aspen HYSYS V8.8.2. Different crudes are taken into account and their properties and amount of distillate are analyzed. The optimization is done in an easy manner rather than the conventional mathematical method, together with the advanced process control tools; make it profitable in the operation in real time. 2018 Elsevier Ltd -
Progressive loss-aware fine-tuning stepwise learning with GAN augmentation for rice plant disease detection
Modern technology like Artificial Intelligence (AI) must be used in the agricultural sectorif sustainable agricultural output is to be achieved. One of the most convenient strategies for resolving current and future issues is data-driven agriculture. For this, disease prediction is a major task for precise farming. For predictive analysis and precise agriculture monitoring systems, with the application of AI, Machine Learning (ML) and Deep Learning (DL) play vital roles in building a more robust system. In this work, we will design a DL-integrated rice disease prediction system to be implemented for precise farming. Improvisation of the developed model to detect rice plant diseases & pest attacks with a high level of precision. In this work, the Progressive Loss-Aware Fine-Tuning Stepwise Learning (PLAFTSL) model is proposed for disease detection. For step-wise learning fine-tuned ResNet50 model is used with the introduction of freezing and unfreezing layers. This reduces the training parameters and thus computational complexity. The introduction of the step-wise and progressive loss-aware layer will result in fast convergence and improved training efficiency during information exchange among layers respectively. Our proposed work uses a dataset from two sources. The result analysis is presented with an ablation study. Additionally, the baseline model, ResNet50, is used to display the outcomes of the ablation. The results demonstrate that the fine-tuned model results in better performance as compared to the transfer learning model. The Conditional Generative Adversarial Network (cGAN) augmentation is also added to the designed model which will improve detection effectiveness and can also manage the imbalance in input data. The model has achieved approx. 98% accuracy and outperforms better with comparative state-of-art models. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024. -
Promoting photocatalytic hydrogen evolution rates in layered graphitic carbon nitride through integrated non-noble CoB co-catalyst
Despite being one of the most widely studied metal-free semiconductors, graphitic carbon-nitride (gC3N4) shows meaningful photocatalytic activities only when loaded with noble-metal co-catalysts. The present work reports an alternative to noble metals in the form of cobalt boride (CoB) co-catalyst that can be easily integrated within the gC3N4 framework with facile fabrication strategies. The optimized CoB-gC3N4 composite showed ?60 times higher hydrogen generation rate compared to bare gC3N4 nanosheets, with good stability. Detailed morphological, structural, chemical, electrochemical and spectroscopic investigations revealed the key aspects of CoB-gC3N4 composite that unanimously led to higher photocatalytic activity. Computational investigations not only corroborated the experimental results but also established that the surface Co and B sites in CoB provided the most energetically favoured sites for hydrogen evolution reaction. Based on the experimental and computational investigations, a generic reaction mechanism was formulated that will prove as a guiding light for future studies on similar photocatalytic systems. 2024 The Authors -
Promoting Sustainability Through Corporate Social Responsibility: Insights and Barriers of Medium-Sized Manufacturing Enterprises in India
The current study aims to explore if effective corporate social responsibility leads to corporate sustainability in medium-sized manufacturing enterprises. Using the factors, an exploratory examination was performed to assess their suitability in Indian context, and data were collected from 121 manufacturing companies using structured questionnaire based on pretested scale, and the proposed relationships were tested through partial least square structural equation modelling (PLS-SEM). The results show overall model fit and empirical examinations support causal relationships between effective corporate social responsibility and corporate sustainability (CS). The results indicated that effective CSR mediated the relationships between corporate sustainability and integration of CSR into corporate policy and priority of the board towards CSR. The results of this study are useful for medium-sized enterprises to establish a formal approach towards CSR and meet the needs of business and society in the 21st century. Copyright 2022, IGI Global. -
Propensity Score Matching and a Difference in Difference Approach to Assess ESGs Influence on Indian Acquirer Performance
This research involves an in-depth analysis of the intricate relationship between Environmental, Social, and Governance scores and the financial and operational performance of Indian acquirers. The research methodology employed herein entails a meticulously crafted design, incorporating a blend of the Propensity Score Matching and Difference-in-Differences model. This strategic amalgamation serves to rigorously assess the impact of ESG factors on the performance outcomes of Indian acquirers involved in M&As. The empirical findings of this study reveal a robust and statistically significant correlation between M&A endeavours and ESG considerations. Notably, the research discerns that M&A activities tend to exert an adverse influence on ESG performance metrics within the Indian corporate landscape. This nuanced insight underscores the multifaceted interplay between strategic corporate actions and the broader sustainability and governance landscape, thereby offering valuable implications for scholars and practitioners in finance and corporate strategy. 2024, University of Wollongong. All rights reserved.



