Browse Items (11808 total)
Sort by:
-
An Intelligent Decision Support System to Aid Profit Planning in Manufacturing Companies
In order to assure accuracy in profit planning and decision-making, this study uses an intelligent decision support system to investigate an appropriate approach for calculating the "Break-Even" point in multi-product segments while taking into account the implications for contribution margin, demand, and capacity. The research's methodology and findings may be used to propose new projects, grow businesses, and make decisions in processes that focus on many products. Data are used to illustrate the advanced level of break-even analysis and application, and a description of the convenient and system-generated method of computation is given. A mathematical approach has been used based on actual data to show how to determine the break-even point without sacrificing the influencing aspects such as contribution margin, capacity, product mix, and demand for each. The researchers have created a good system application-oriented platform to make it simple to calculate the break-even point, which will be crucial for decision-making and profit planning even with more than 500 SKU (Stock Keeping Unit). This research evaluated the data and created formulas for actual data structure-based analysis. The study's conclusions have a significant influence on those companies that need to determine the true break-even threshold. The challenge area of concern might be the applicability of this activity for other sectors and other countries as this research was centred on the plastic bag industry in Malaysia. Future research can also analyse other important factors like start-up and semi-variable costs as they are not included in the current study. The identified break-even threshold can still be used effectively given the current market demand and the product's capacity. 2023, Ismail Saritas. All rights reserved. -
Influence of Mindfulness on Game Addiction-Mediating Role of Emotional Control
In the past few decades, online games have become immensely popular among the younger generation thus leading to online game addiction. Previous researches acknowledge that mindfulness or present-focused awareness may reduce addiction. Moreover, addiction is found to have an impact on the propensity to respond to the situations in the environment in a way that is acceptable to all the people (emotional control). The present study attempts to study the influence of mindfulness and emotional control on game addiction. For this, 187 college students were selected through the Simple Random Sampling method. Personal Profile Sheet, The Online Game Addiction Scale, Mindful Attention Awareness Scale (MAAS) and The Emotional Control Questionnaire, with four dimensions of Rehearsal, Emotional Inhibition, Aggression Control and Benign control were used to collect the data. The study found a significant gender difference in the level of game addiction where boys being more addicted to online games than girls. Mindfulness shows a significant negative influence over Game Addiction. Among the four dimensions of emotional control, the two dimensions viz., rehearsal and benign control show mediation effect between mindfulness and game addiction. However, the mediating role of emotional inhibition and aggression control was not significantly demonstrative. The Author(s) 2024. -
AGGRESSION AS A PREDICTOR OF GENERAL WELL-BEING AMONG PUBLIC HEALTH WORKERS
Social atrocities and discrimination make sanitary workers vulnerable to aggression which in turn disrupts their well-being. The issues concerning the psychological health of sanitary workers have been addressed less by researchers. The present study aimed to assess the level of aggression and general well-being among sanitary workers. An aggression questionnaire, consisting of four dimensions, namely physical aggression, verbal aggression, anger and hostility was used. The PGI general well-being measure and personal profile sheet consisting of socio-demographic details was given to 150 sanitary workers who were selected through purposive sampling method. The dimensions of aggression- anger and hostility were negatively correlated with the general well-being of the participants. Amongst the four dimensions of aggression, anger is found to be the predictor of general well-being. 2022 Australasian College of Health Service Management. All right reserved. -
Gender as a Predictor in the Perception of Sexual Harassment Definition
Sexual harassment is a pervasive problem across the globe and it is generally viewed subjectively. The review of the literature suggests that individual perception, history of past sexual harassment and other personal factors influence beliefs concerning the seriousness of the problem. The present study aims to explore the role of socio demographic variables in the definition of sexual harassment. One hundred and sixty-one college students volunteered for this study. Personal profile sheet and Sexual Harassment Definition Questionnaire were used to collect the data. The results of the chi-square test suggested that girls and students who already experienced sexual harassment found larger social incidents as harassment. However, the results of logistic regression found gender as a strong predictor of sexual harassment definition and the history of past harassment was failed to provide a statistical significance. Educating men on male privilege, violence against women and identifying behaviours in them that are not acceptable by women will be helpful. The Electrochemical Society -
Machine learning approach for automatic solar panel direction by using nae bayes algorithm
The upsurge in fuel prices are pointing out the fact that, the deficiency of conventional form of natural resources and building dams can never fulfill the demand of the growing population and it is exponentially increasing the electricity demand. Electricity is a day-to-day component, which is utilized for lighting, running appliances, machines. Moreover a large number of people are now switching to electric cars. Henceforth, it is equally important to achieve self-sustainability in energy needs and also it is necessary to have an infinite energy source. Sustainable power is the solitary solution to resolve this issue. On the other hand, the Indian government is promoting solar technology a lot in the year 2021 by providing subsidies to a maximum limit of 65% for the installation of home solar projects and this encourages people to switch to electric vehicles to reduce the pollution. This article presents a machine learning based dual-axis solar tracker to enhance the energy harnessing efficiency. Furthermore, the proposed method utilizes Nae Bayes algorithm to develop a better solution for producing higher energy from the solar panel. The Nae Bayes algorithm is a type of machine learning algorithm, which has been used to predict the reliable direction. This proposed method generates higher electricity, when compared with the traditional method. The experimental results aim to fix the north east direction of solar panel that produces 17.4 watts per hour, wherein the proposed method produces 24.8 watts. It is indicated that, more than 25% additional power generation is obtained by using Nae Bayes algorithm method. 2021 IEEE. -
Enhancement of thermoelectric efficiency in vapor deposited Sb 2Te3 and Sb1.8In0.2Te3 crystals
Pure and indium doped antimony telluride (Sb2Te3) crystals find applications in high performance room temperature thermoelectric devices. Owing to the meagre physical properties exhibited on the cleavage faces of melt grown samples, an attempt was made to explore the thermoelectric parameters of p-type crystals grown by the physical vapor deposition (PVD) method. The crystal structure of the grown platelets (9 mm8 mm2 mm) was identified as rhombohedral by x-ray powder diffraction method. The energy dispersive analysis confirmed the elemental composition of the crystals. The electron microscopic and scanning probe image studies revealed that the crystals were grown by layer growth mechanism with low surface roughness. At room temperature (300 K), the values of Seebeck coefficient S (c) and power factor were observed to be higher for Sb1.8In0.2Te 3 crystals (155 ?VK-1, 2.669 10-3 W/mK2) than those of pure ones. Upon doping, the thermal conductivity ? (c) was decreased by 37.14% and thus thermoelectric efficiency was improved. The increased figure of merit, Z = 1.23 10-3 K -1 for vapour grown Sb1.8In0.2Te3 platelets indicates that it could be used as a potential thermoelectric candidate. Pure and indium doped antimony telluride (Sb2Te 3) crystals were grown by the physical vapor deposition (PVD) method. Incorporation of indium atoms into the antimony sub lattice improved Seebeck coefficient and reduced thermal conductivity. The increased figure of merit, Z = 1.23 10-3K-1 for vapor grown Sb 1.8In0.2Te3 platelets indicates that it could be used as a potential thermoelectric candidate. 2014 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim. -
Studies on sulfur doping and figure of merit in vapor grown Sb2Te3 platelet crystals
A series of p-type Sb2Te3-xSx(x=0, 0.1, 0.2, 0.3 and 0.4) samples for each sulfur composition was vapor deposited to explore the crystal growth mechanism of platelet morphology and to understand their potential use for thermoelectric devices. Structural characterization performed by X-ray diffraction exhibited consistent rhombohedral unit cell parameters for all the antimony telluride crystals with D3d5 space group symmetry. Scanning electron microscopy (SEM) and energy dispersive analysis by X-rays (EDAX) were employed for morphological and compositional studies. The Seebeck coefficient S (?c) of Sb2Te3-xSx crystals for sulfur composition, x=0.3 was remarkably improved, yielding a figure of merit (ZT)=0.54, which is ?2.5 fold rise compared to the melt grown Sb2Te3 crystals. The atomic force microscopic (AFM) imprints revealed that, with increasing content of dopant, distribution of etch pits and microhardness increased in sulfur doped crystals. By optimizing sulfur doping, the antisite (AS) defect formation can be suppressed for enhancing ZT and the results obtained enable to design novel thermoelectric materials for application in power generation and refrigeration. 2015 Elsevier B.V. All rights reserved. -
Enhancement of thermoelectric efficiency in vapor deposited Sb2Te3 and Sb1.8In0.2Te3 crystals
Crystal Research & Technology, Vol-49 (4), pp. 212-219. ISSN-0232-1300 -
Development through ICT: A study on teachers perspectives on challenges in online education for tribal students amid COVID-19
Online education became an integral part of the education system during the COVID-19 pandemic. All the schools, colleges and universities adopted new technology in teaching-learning pedagogy. Academicians and students were taught to practice online education with many challenges and difficulties. The Constitution of India includes many beneficial provisions to promote the integral development of scheduled tribes. It enables them and protects them from socioeconomic status and forms of exploitation. In Kerala, the Scheduled Tribes Development Department is implementing various programs for the educational, social and economic development of Scheduled Tribes. Kerala is the most literate state in India. It creates a strong academic foundation at the school level. Even though the COVID-19 pandemic spread throughout the world, the government continued education in the state through the VICTERS educational television channel with the help of various ICT tools. This studys objective is to determine the challenges faced by tribal students in the Idukki District of Kerala State in online education and to understand the social and technological challenges they face in the learning process. An in-depth interview method was adopted for the study. This qualitative study explored the perspectives of teachers who teach tribal students. 2025 Malque Publishing. All rights reserved. -
Exploring the impact of psychological biases on financial investment decisions and the role of digital financial literacy
This chapter explores biases impacting stock and mutual fund investments-cognitive, affective, and behavioral. It examines digital financial literacy (DFL), highlighting social media's role in information sharing. Stressing the merging financial and digital literacies, it addresses risks in online financial behavior. Discussions cover DFL measures, online activities' correlation, and biases in decision-making. Recognizing uncertainty in the digital era is crucial for informed financial decisions amidst evolving landscapes. 2024, IGI Global. All rights reserved. -
Human capital accounting /
International Journal of Research in Finance and Marketing, Vol.5, Issue 1, pp.30-36, ISSN No: 2231-5985. -
Technical analysis of equity shares /
International Journal of Research in Finance and Marketing, Vol.5, Issue 1, pp.23-29, ISSN No: 2231-5985. -
Bollinger bands optimal algorithmic strategyinstock trading /
International Journal of Research in Finance and Marketing, Vol.5, Issue 1, pp.37-45, ISSN No: 2231-5985. -
Exponential moving average - An algorithmic trading strategy /
International Journal of Research in Finance and Marketing, Vol.5, Issue 1, pp.14-22, ISSN No: 2231-5985. -
Optimal portfolio construction with nifty stocks /
International Journal of Interdisciplinary and Multidisciplinary Studies, Vol.1, Issue 4, pp.474-480, ISSN No: 2348-0343. -
A study on role of cooperative banks in micro-finance with special reference to Karnataka /
The International Journal of Business & Management, Vol.4, Issue 10, pp.9-11, ISSN No: 2321-8916. -
Consumer Perception of Internet Banking and Mobile Banking Using Twitter Analytics
Mobile and internet banking have introduced a new way of monetary transactions without the need for physical presence. This research proposes to analyze the sentiments of people regarding digital transactions, mobile, and internet banking. The explosion of internet usage and the huge funding initiatives in electronic banking have drawn the attention of researchers towards internet and mobile banking. This study focuses on customer value perceptions of the internet and mobile banking in India. The recent and forecasted Digital India scheme shows high growth in e-banking in India. The demographic, attitudinal, and behavioral characteristics of mobile bank users were examined. In this study, datasets obtained from Twitter were used. After extensive and repeated analysis, it is found that both mobile and internet banking are well received; the number of positive tweets, especially regarding mobile banking, is much higher than that of internet banking. This leads to the interpretation that people find mobile banking easier and safer, especially during the ongoing COVID-19 pandemic. 2022 Information Resources Management Association. All rights reserved. -
Exploring ARIMA Models with Interacted Lagged Variables for Forecasting
Including interactions among the explanatory variables in regression models is a common phenomenon. However, including interactions existing among lagged variables in autoregressive models has not been explored so far. In this paper, Autoregressive Integrated Moving Average (ARIMA) model with interactions among the lagged variables is proposed for improving forecast accuracy. The methodology for identifying the interacted lagged variables and including them in the ARIMA model is suggested. Using five different data sets of different types, the paper explores the effect of interacted lagged variables in ARIMA model. The experimental results exhibit that when interactions do actually exist, ARIMA model with interactions improves the forecast accuracy as compared to ARIMA model without interactions. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024. -
A Novel Hybrid Model for Time Series Forecasting Using Artificial Neural Network and Autoregressive Integrated Moving Average Models
Enhancing forecast accuracy while using time series is a potential area of research. Evidences exist in the literature to show that hybrid models can significantly improve the forecasting performance, as they combine the exclusive strengths of different models. This paper presents a novel hybrid model by combining forecasts from Autoregressive Integrated Moving Average (ARIMA) and artificial neural network (ANN) models with suitable weights, thereby improving the forecast accuracy. The methodology employs appropriate error metrics to construct the weights. The paper further demonstrates the efficiency of the proposed methodology through an empirical study, based on two real-world time series data sets. Thus, the new methodology can be used for enhancing the forecast accuracy in a number of fields of research. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024. -
GalNAc-siRNA conjugates: Prospective tools on the frontier of anti-viral therapeutics
The growing use of short-interfering RNA (siRNA)-based therapeutics for viral diseases reflects the most recent innovations in anti-viral vaccines and drugs. These drugs play crucial roles in the fight against many hitherto incurable diseases, the causes, pathophysiologies, and molecular processes of which remain unknown. Targeted liver drug delivery systems are in clinical trials. The receptor-mediated endocytosis approach involving the abundant asialoglycoprotein receptors (ASGPRs) on the surfaces of liver cells show great promise. We here review N-acetylgalactosamine (GalNAc)-siRNA conjugates that treat viral diseases such as hepatitis B infection, but we also mention that novel, native conjugate-based, targeted siRNA anti-viral drugs may also cure several life-threatening diseases such as hemorrhagic cystitis, multifocal leukoencephalopathy, and severe acute respiratory syndrome caused by coronaviruses and human herpes virus. 2021 Elsevier Ltd