Electronic Items Research Articles

IADVL Position Statement and Recommendations on Post Lockdown Dermatology Practice Amidst the Covid -19 Pandemic (IADVL Academy and IADVL Executive Committee).

IADVL Position Statement and Recommendations on Post Lockdown Dermatology Practice Amidst the Covid -19 Pandemic (IADVL Academy and IADVL Executive Committee).

Experimental investigation of bituminous pavement (VG30) using E-waste plastics for better strength and sustainable environment

Abstract Electronic waste or E-waste refers to all items of electrical and electronic equipment and its parts that have been discarded by its owner as waste without the intent of reuse. According to waste electrical and electronic equipment directive of the European Union, E-waste material consisting of any broken or unwanted electronic appliance which includes computers, entertainment electronics, mobile phones, and other electronic items that have been discarded by their original users. E-waste is becoming burgeoning global issue, which showcases the impacts of the same on environment and on humans. It has been examined after several studies on E-waste that plastics are the second largest component by weight representing about 15%. Reuse of E-waste plastics as aggregates in some or other forms of in construction industry may be considered as economical and technically viable for solving the disposal of large amount of waste and this can be used as aggregates and fine filler in concrete or in the construction of flexible pavement. The objective of this study is to partially adding the E-waste plastic powder as alternative to conventional bitumen in the layer of flexible pavement to find the strength in the bituminous grade VG30, in different percentages viz., 5% to 20% in 100 g of bituminous to study its behaviour as per Indian standards. The results have shown that the E-waste plastic powder can be used in pavements along with the conventional bitumen for better strength for 5%, 10% and 15% replacement which shows better strength.

An efficient two-pass classifier system for patient opinion mining to analyze drugs satisfaction

Opinion mining is a well-known problem in natural language processing that increasing attention in recent years. With the rapid growth in e-commerce, reviews for popular products on the web have grown rapidly. In opinion mining, the greater part of the scientists has dealt with general domains, for example, electronic items, movies, and restaurants audit not much on health and medical domains. Therefore, in this paper, we focus on predicting the drug satisfaction level among the other patient who already experienced the effect of a drug using a novel Two-pass classifier. The Two-pass classifier is a combination of Support Vector Machine and Artificial Neural Network (SVMNN). Here, at first, we collect customer reviews from healthcare domain. After that, we extract the important features from each review and based on the features we generate the feature vector. Then, we apply two-pass classifier in order to predict the given customer review is positive or negative. The performance of the proposed approach is analyzed using precision, recall, and F-measures. The experimentation results show that the proposed system attains the better result associated with the available methods.

Rural Households' Allocation of Remittance Income in Agriculture in Nepal

This paper examines the uses of remittances in various household activities by remittance-receiving households in rural Nepal. Specifically, this paper focuses on the allocation of (a) remittances in agriculture and other dimensions of household activities, and (b) whether there is any association between the amount of remittances received and the amount allocated by households to agriculture and other dimensions. This study utilizes the detailed household level data (n=139 remittance-receiving households) collected from the Chitwan Valley in 2014, a rural migrant-sending setting of southern Nepal that collected remittances received by households and remittance used in various household activities with monthly precision in the past 12 months. Using the multilevel multivariate OLS regression, the results showed that of the total amount of remittances used, farming (e.g. purchase of seeds, fertilizers, and pesticides) received only about 3.1 percent. In contrast, a large proportion of remittance was used in buying fixed assets such as land, houses, and jewelry (27.1%), followed by food and vegetables (15.3%), savings and business investment (12.3%), loan payment (11.0%), education, (11.2%), and health (4.1%). Adjusted results from multivariate analysis (multilevel OLS) showed that the amount of remittances received by households was not significantly associated with its use in farming. However, the amount of remittances received was positively associated with the amount used in buying fixed assets, media (electronic) items, clothing, covering cultural expenses, paying utilities, and repaying debt. Implications from the findings are presented.

Concrete blend with E-waste plastic for sustainable future

Abstract Electronic waste or E-waste, according to the Waste Electrical and Electronic Equipment directive of the European Union, is defined as waste material consisting of any broken or unwanted electronic appliance which includes computers, entertainment electronics, mobile phones, and other electronic items that have been discarded by their original users. According to WEEE, after several studies on E-waste, it has been examined that five categories of materials found in it viz., ferrous metals, non-ferrous metals, glass, plastics, and others. 60% of metals found in E-waste in common and a plastic which is 15% are the second largest component by weight. Utilization of crushed E–waste materials in the building construction instead of conventional materials helps in reducing the cost of concrete manufacturing. The objectives of this experimental study is to partially replace the E-waste plastics for conventional coarse aggregate, to minimize the pollution by reusing the same in the required shape and to understand the behaviour of M20 concrete by conducting strength tests on it. The coarse aggregate was partially replaced with different percentages of E-waste plastic by volume from 0 to 20% and based on the lab tests as per IS standards it as conclude that the utilization of plastic aggregate in concrete reduces the unit weight of concrete thus reduction in dead weight of the structure and hence it can be consumed as a light weight concrete. The value of slump cone is kept on increasing which shows the inadaptability of plastic to absorb water. Compressive strength and flexural strength decreases with increase in the percentage of E-waste whereas the split tensile increases with the increment which shows that E-waste plastics can be used as an alternative material in proper ratio.

The Effect of Best First Search Optimization on Credit Card Fraudulent Transaction Detection

In the digital world, Recently growth of online shopping site for purchasing clothes, electronic items, glossary etc and online transaction for transfer money is increasing day by day . At the same time, criminals have become able to doing fault and earning money through wrong ways .that’s why fraud grows. With the development of Machine Learning in the field of Computer Science and Engineering, its application in the different domain also in fields like Medical, Marketing, Telecommunication, finance, etc. The reason for the popularity of Machine Learning in these domains is due to its high accuracy prediction. That’s why over many years, machine learning has been used in fraud detection. With the advancement of technology in online transactions, fraud is the greatest issue for businesses and has become difficult to recognize than the traditional form of this crime. Historically, the area of Fraud Detection is interrelated to Data Mining & Text Mining. Due to the sudden growth of fraud whose outcome is loss of trillions of rupees worldwide every year, various modern techniques in detecting fraud were proposed that are progressed without interruption and applied to many business fields. Bank frauds worth ₹2.05 trillion happened in the last 11 years, among which there were overall 53,334 fraud issues in the usage of RBI data. The principle purpose behind this write up is to review different methods in identifying frauds corresponding to the unusualness in the transactions. The supervised and unsupervised machine learning algorithms will be used to identify fraud and the best first search optimization will be analyzed to compare both results, i.e., before and after optimization.

Exploratory Data Analysis using Python

Data need to be analyzed so as to produce good result. Using the result decision can be taken. For example recommendation system, ranking of the page, demand fore casting, prediction of purchase of the product. There are some leading companies where the review of the customer plays a great role to analyze the factor which influences the review rating. We have used exploratory data analysis (EDA) where data interpretations can be done in row and column format. We have used python for data analysis. it is object oriented ,interpreted and interactive programming language. it is open source with rich sets of libraries like pandas, MATplotlib, seaborn etc. We have used different types of charts and various types of parameter to analyze Amazon review data sets which contains the reviews of electronic data items. We have used python programming for the data analysis.

Reduced Hospitalizations, Emergency Room Visits, and Costs Associated with a Web-Based Health Literacy, Aligned-Incentive Intervention: Mixed Methods Study.

BackgroundThe association between health literacy and health care costs, particularly for hospitalizations and emergency room services, has been previously observed. Health information interventions aimed at addressing the negative impacts of inadequate health literacy are needed. The MedEncentive Mutual Accountability and Information Therapy (MAIT) Program is a Web-based system designed to improve health and lower costs by aligning patient-doctor incentives.ObjectiveIn this mixed methods study of a Web-based patient-doctor aligned-incentive, information therapy program conducted in an 1800-member employee health plan, we aimed to (1) determine the program’s quantitative impact on hospitalization and emergency room utilization and costs, and (2) assess survey responses about the program’s perceived value.MethodsWe used a mixed methods, single within-group, pre-post, descriptive study design. We analyzed quantitative data using pre-post mean utilization and cost differences and summarized the data using descriptive statistics. We used open-ended electronic survey items to collect descriptive data and analyzed them using thematic content analysis.ResultsHospitalizations and emergency room visits per 1000 decreased 32% (26.5/82.4) and 14% (31.3/219.9), respectively, after we implemented the program in 2015-2017, relative to 2013-2014. Correspondingly, the plan’s annual per capita expenditures declined US $675 (95% CI US $470-865), or 10.8% ($675/$6260), after program implementation in 2015-2017 (US $5585 in 2013-2014 dollars), relative to the baseline years of 2013-2014 (US $6260; P<.05). Qualitative findings suggested that respondents valued the program, benefiting from its educational and motivational aspects to better self-manage their health.ConclusionsAnalyses suggested that the reported reductions in hospitalizations, emergency room visits, and costs were associated with the program. Qualitative findings indicated that targeted users perceived value in participating in the MAIT Program. Further research with controls is needed to confirm these outcomes and more completely understand the health improvement and cost-containment capabilities of this Web-based health information, patient-doctor, aligned-incentive program.

E-Cloud: A Solution towards E-Waste Management for Educational Institutions

In the era of rapidly advancing frontiers of science and technical innovations over the recent years, the generations of electronic items have remarkably increased. Due to the globalization and the upgradations, electronic waste (e-waste) is growing at a compound annual growth rate of about 30% in the country. The issue has raised an alarming situation in the form of several health and environmental hazards like land, water and air pollution, depletion of non-renewable resources and loss of precious elements. Increasing levels of CO2 emissions in the environment has severely affected the geographic conditions as well. The proposed work includes an e-waste survey carried out under the auspices of Indraprastha College for Women, University of Delhi to gather information for spreading awareness about e-waste generation and its disposal. The present study on e-waste disposal and recycling includes both quantitative and qualitative approaches, along with a series of compiled results. The findings in the survey regarding the health hazards, environmental impacts, and existing disposal practices would be helpful not only to the country but will also be beneficial at the global level. To get an insight regarding the issue, a pilot survey was conducted prior to launching the final one. The variations in the responses of the pilot survey and suggestions by the corresponding respondents were of immense help in creating an improved version of the final survey. Based on the survey analysis, the authors have further proposed a cloud based model for the educational organizations for e-waste reduction for the effective and efficient utilization of resources. The proposed solution would be a mile stone in contribution towards the reduction of carbon footprint and e-waste generation at the global level.

Adverse drug reactions caused by drug–drug interactions in cardiovascular disease patients: introduction of a simple prediction tool using electronic screening database items

Objective: Cardiovascular disease (CVD) drugs have been frequently implicated in adverse drug reaction (ADR)-related hospitalizations. Drug–drug interactions (DDIs) are common preventable cause of ADRs, but the impact of DDIs in the CVD population has not been investigated. Hence, the primary aim of the study was to identify DDIs associated with ADRs in CVD patients at hospital admission. The second aim was to develop a simple tool to identify high-risk patients for DDI-related adverse events.Methods: An observational study was conducted on the Cardiology Ward of University Clinical Hospital Center. Data were obtained from medical charts. A clinical panel identified DDIs implicated in ADRs, using LexiInteract database and Drug Interaction Probability Scale. Statistics were performed using PASW 22 (SPSS Inc.).Results: DDIs contributed to hospital admission with a total prevalence of 9.69%. DDI-related ADRs affected mainly cardiac function (heart rate or rhythm, 41.07%); bleeding and effect on blood pressure were equally distributed (17.86%). Non-cardiovascular ADRs were found in 23.21% of DDIs. After admission, 73% of the identified DDIs led to changes in prescription. Prediction ability of calculated DDI adverse event probability scores was rated as good (AUC = 0.80, p < .001).Conclusions: CVD patients are highly exposed to adverse DDIs; about one in ten patients hospitalized with CVD might have a DDI contributing to the hospitalization. Given the high prevalence of CVD, DDI-related harm might be a significant burden worldwide. Identification of patients with high DDI adverse event risk might ease the recognition of DDI-related harm and improve the use of electronic databases in clinical practice.

Radiation Level Assessment of Construction Metals, Kitchen Utensils and Electronic Items

Radiation Level Assessment of Construction Metals, Kitchen Utensils and Electronic Items

The use of online testing services for creating Czech language tests

The use of modern information and communication technologies in evaluating foreign language proficiency increases the assessment objectivity, automates evaluation process, monitors learners’ outcomes, and helps them overcome psychological barriers and anxiety associated with assessment. One of the efficient ways of evaluating foreign language proficiency level is to use assessments which can be created with online test makers. Electronic test items designed for evaluating foreign language skills can be easily created by means of special test generators – online testing services. Using templates of online test makers, any teacher can create various test questions, execute online testing, and receive automatically calculated test results. Nowadays, a number of web-based services provide teachers with easy-to-use tools for implementing online testing in order to check on students’ performance and get immediate grading of their outcomes. The author touches upon core peculiarities of online testing services Master-Test, EasyTestMaker and ClassMarker because she examined them for the sake of this article. Different functionalities of the chosen test generators for creating online test questions of different types to test Czech language knowledge, abilities, and skills are comparatively analysed in this paper. The advantages and disadvantages of using these platforms by test constructors as well as by test takers are highlighted, so readers can determine which one would be the best fit for their needs. The author suggests some ways to solve certain problems in creating electronic test items for assessing educational achievements in the Czech language by means of online testing services Master-Test, EasyTestMaker and ClassMarker. The tools of online test makers studied in this paper not only allow to optimise organisation, implementation and processing of test results, but also meet basic didactic requirements to digital technologies of the 21st century.

E-Waste Management Awareness Program in Solomon Island

Worldwide electronic waste items have grown as product life has become shorter. The electronic products are e-waste and end up in rubbish dumps and recycling centers, posing a threat to the environment. The e-waste disposal methods adopted by Pacific island countries (PICs) are inadequate. The Solomon Island (SI) is one of the PICs and does not have a sustainable solution. The purpose of this article is to develop a framework for sustainable e-waste management campaign based on a project management framework incorporating stakeholder, risk, time, and public awareness and people management. A macro project management risk model is constructed to implement an e-waste awareness education program and assist PICs policy makers to successfully launch e-waste management program. It is shown in this work how an e-waste project management awareness program can work for SI. The important factors to be controlled for successful e-awareness program are identified with a project risk management framework. The impact, failure, and consequences of the e-waste awareness campaign are quantified. This article also provides a review of the e-waste awareness in Pacific island countries and puts forward a pan to mitigate the e-waste problem in IS. The e‐wastes in SI are unwanted electronic equipment and electrical appliances which reached its end of life and does not function as it was planned. The toxic elements within e-waste contaminate the water, land, and air. The SI does not have enough resources and technical capacity to recycle e-waste. Appropriate management and disposal of e‐waste is essential as the long-standing shield for the protection of SI and regional PICs environments. The aim is to maintain long‐term regional sustainability. The adoption of national e‐waste management policies will safeguard the movement recycling and disposal of e‐waste in a controlled manner through the Basel and Waigani convention protocols. The study designs a new paradigm for solving e-waste management issues is PICs using a project management approach, focusing on risk management, risk impact, organizational design with communication plan, and human interaction.

Determination of Metal Hazard in the Processed E-Waste Types, Floor Dust and Pulverized Epoxy Powder Generated at an E-Waste Handling Site in India

At the e-waste handling site, the obsolete electronic items are dismantled and it releases dust laden with fine metallic fragments, called as floor dust. Further, the broken cables are denuded from its plastic insulation and shredded to fine grained pulverized epoxy powder. These two-processed e-wastes appear to contain metal residues. Hence, the aim is to examine the metal composition and identify the hazard, if any. Pulverized epoxy powder measured high values of Cd (7.43±0.48 μg/g), Pb (338.85±0.13 μg/g), Ni (534.62±53.68 μg/g), Li (30.12±0.02 μg/g), K (508109.90±31605.89 μg/g), Ca (817395.40±2.52 μg/g) and Na (3528.00±539.07 μg/g) while floor dust had high levels of Cr (39.61±5.78 μg/g), Cu (4778.14±861.91 μg/g), Zn (4172.88±821.75 μg/g), Fe (11164.90±1111.61 μg/g) and Se (1613.00±259.04 μg/g) with significant differences (p&lt;0.05). The worn out electronic oddments attributes to high levels of metals. Principal component analysis could extract two components accounting for 78% variance in total. Although the values are less in comparison with the statutory limits, the processed e-wastes still pose a risk of metal toxicity due to their high volume. The composition of metals in the processed e-wastes presents us a new challenge to handle them.

MARKETING STRATERGY FOR ZEE NETWORK

Television is one of the electronic items that can be an information channel, entertainment, and also a marketing media. This television also has a vital role in people's lives to become their daily entertainment. The research aim of our research was to find solutions to the marketing of existing bank products so that products from Zee Network were more favored by customers and could outperform other television channel. Data will be collected by literature review and will be analyzed through quantitative methods. The results of this study are to market products from Zee Network so that they can be used by consumers worldwide The research conducted on the topic, “Promotion of television networks in comparison to Zee Network” is basically a promotional strategy of television networks in India. The research comprises the response obtained from a sample of viewers and a study of different factors preferred by viewers with an investigation on the reasons for the same. Here, data is obtained by secondary methods of literature review and analysis of the statistics available to the public. The study focuses on devising a strategy to promote Zee Network based on the reasons behind the comparatively lower viewership of Zee television network when compared to other in India as well as Indonesia like Jakarta. Simultaneously, it also tends to investigate on various attributes such as the viewership pattern in the region, the core competencies of each network, the opinion on the content of programs, the preference of the viewers toward the presentation styles, etc. The result ultimately suggests that it should complete some certain key factors such as customer satusfaction are also found to be influential in driving higher rating and viewership for the channels. The result of our study will be on the basis of these factors, the promotional strategy development will help Zee Network increase their viewership. Keywords: televison, entertainment, Zee Network,attributes, viewership

Association between Access to Electronic Devices in the Home Environment and Cardiorespiratory Fitness in Children.

This study examined the association between access to electronic devices in the home and cardiorespiratory fitness in children. Participants were children aged 8–12 years from a local elementary school (n = 106, mean age = 9.7 + 1.1 years, male = 50). Child access to electronic devices was measured with a 37-item parent-reported questionnaire. Estimated maximal aerobic capacity (VO2 Peak) was calculated from The Progressive Aerobic Cardiovascular Endurance Run (PACER) using a validated algorithm. The association between access to electronic devices in the home and cardiorespiratory fitness was explored by employing hierarchical ridge regression, using the Ordinary Least Squares (OLS) model, controlling for the covariates of sex, age, and Body Mass Index (BMI). Controlling for sex, age, and BMI, the number of electronic items in a child’s bedroom was significantly inversely related to the estimated VO2 Peak (b = −1.30 mL/kg/min, 95% C.I.: −2.46 mL/kg/min, −0.15 mL/kg/min, p = 0.028) and PACER laps (b = −3.70 laps, 95% C.I.: −6.97 laps, −0.41 laps, p = 0.028) However, the total number of electronic items in the home and total number of electronic items owned did not significantly relate to the estimated VO2 Peak (p = 0.847, 0.964) or the number of PACER laps (p = 0.847, 0.964). Child health behavior interventions focused on the home environment should devote specific attention to the bedroom as a primary locus of easily modifiable intervention.

Cosmopolitanism, Materialism, Consumer Ethnocentrism and Consumer Behaviour: Evidence from Aboriginal Tripuri Tribe of India

Culture plays an important and complex role in shaping consumer behaviour. This article attempts to appraise the role of culture in determining consumer behaviour of the aboriginal Tripuri tribes. Cultural aspects are measured by three globalization-linked cultural dispositions: cosmopolitanism (COSMO), materialism (MAT) and consumer ethnocentrism (CET). Consumer behaviour is measured by the importance a consumer attaches to purchase/use of a particular product. A total of 39 product items from seven product categories are evaluated. The categories included are global foods, global fashion, local foods, luxury items, appliances, technology and electronic items, and networking platforms. Collecting and analysing data from 702 Tripuri tribes, this study concludes that CET is the most dominant construct among Tripuri tribes. CET and COSMO also had significant roles in shaping consumer behaviour. COSMO is observed to have a significant positive association with both MAT and CET. No significant association is observed between MAT and CET. Tripuri tribes’ income class, religious belief, nature of residential location and dominating culture of the location are observed to have significant impact on shaping COSMO, MAT and CET tendencies. The study also concludes that it is not desirable for firms to utilize generalized findings related to impact of globalization-linked cultural dispositions in shaping consumer behaviour in their marketing strategy for specific niche groups like aboriginal tribes in India.

Global analysis of electronic items with re-manufacturing to control e-waste

E-waste is electronic items that have become useless or have reached to the end of their life-span. The maximum e-waste is produced by electronic industry in comparison to vendor and customer. E-waste contains many harmful chemicals which can be absorbed by humans and landfills and floats in the environment. The best solution to control e-waste is re-manufacturing. Re-manufacturing preserves natural resources, saves landfills, reduces greenhouse gas emissions and consequently controls pollution. It also consumes fewer inventories so that it pays less cost. To investigate this e-waste problem and advocating re-manufacturing, we have developed a mathematical model of three compartments viz. manufacturing unit, vendor and customer comprising of remanufacturing at player's ends. To examine the stability of e-waste model, the local and global stability is considered. Threshold and numerical simulation are carried out.

“Study of customer satisfaction on online products in nagpur city with reference to flipkart”

Flipkart is an e-commerce company founded in 2007 by Sachin Bansal and Binny Bansal. The company is registered in Singapore, but has its headquarters in Bangalore, Karnataka. Flipkart has launched its own product range under the name DigiFlip with products including tablets, USBs, and laptop bags. Things are easier said than done! To realize our dreams and that also in such a grand manner is really a tough task. The founders of Flipkart have probably conquered their dreams with the amazing success of Flipkart. Flipkart is something which has really opened up the Indian e-commerce market and that also in a big way. Today the company works with more than 500 suppliers. As on date more than 80% orders of Flipkart are handled via warehouses which help in quick and efficient service. A humble beginning from books, Flipkart now has a gamut of products ranging from: Cell phones, laptops, computers, cameras, games, music, audio players, TV's, healthcare products, washing machines etc. etc. Still, Flipkart derives around 50% of its revenue from selling books online. Flipkart is the Indian market leader in selling books both offline and online, it enjoys an online share of around 80%. The electronic items have a large number of players like Naaptol, Letsbuy, Indiaplaza, Tradus, Infibeam, Yebhi etc. The electronic market share is distributed among them in different unknown proportions. Nearly 293 million active internet users reside in urban India, while there are 200 million active users in rural India.

Global analysis of electronic items with re-manufacturing to control e-waste

Global analysis of electronic items with re-manufacturing to control e-waste