Digital Mode Research Articles

UPI Challenges and Direction in Fund Management with Special Reference Banking Sector

Abstract: After demonetization, there was a massive requirement for currency notes, but the government was unable to provide the required quantity of currency notes, and also Indian government wanted to promote cashless transactions. UPI is built over Immediate Payment Service (IMPS) for transferring funds using Virtual Payment Address (a unique ID provided by the bank). Unified Payments Interface is a payment system launched by (NPCI), which is National Payments Corporation of India, and is regulated by the (RBI) Reserve Bank of India, which provides the facility of instant fund transfer between two bank accounts online through payment apps. Digital transactions by UPI have been made very easy. The UPI service is available 24X7, and it is not like RTGS and NEFT, which do not work on holidays and non-banking hours. This will bring tremendous efficiency to the system and help India become a cashless economy. Keywords: Digital illiteracy, Online payments, cashless economy UPI, Mobile phone, digital payment mode

A Review on Transition from Face-to-Face to Online Learning During COVID-19 Pandemic

As a result of the COVID-19 pandemic crisis, Online-learning has become a necessary feature in all educational establishments such as schools, colleges and universities. The educations sector in India is deeply affected by this. To fight back the disruption and damage, educational institutes across the country embraced the digital mode of education as a solution to fill the void left by classroom teaching. Online education is conducted in two ways. The first is through the use of recorded classes, which, when opened out to public, are referred to as Massive Open Online Course (MOOCs). The second one is via live online classes conducted as webinars, or zoom sessions. This review has identified five important strategies that could be incorporated into a best practice framework for online education.1) As e-learning becomes the "new normal", the authorities have been taking steps to make digitisation of education accessible and affordable for all. 2) Training in educational technologies and their effective use should be available to faculty and students who need it.3)The Indian education system has to transit to online learning without creating a digital divide, the Centre and state governments must raise the spending on education.

Study on Evaluating the EMI Filter for Electronic Communication Fans

An electronically commutated fan has a complex digital control mode compared to the conventional alternating current fans. Since a serious electromagnetic compatibility situation occurs in the electronic commutation fan system, the filter circuit and mechanical design of a fan system are very important. A digital control strategy for a fan was designed to reduce the component of the electromagnetic interference filter, therefore the suppression of conducted and radiated electromagnetic interference will be achieved in the proposed fan system. Moreover, the proposed fan integrates the mechanical design to solve the problems of radiated electromagnetic interference. A single-phase Brushless DC Electric Motor (BLDC) driver is designed and constructed. Finally, the electromagnetic interference that occurred in the proposed fan is analyzed and the suppression strategy is provided. The experiment verification for the electronically commutated fan is presented.

Combined use of analyte protectants and precolumn backflushing for a robust, high-throughput quantitative determination of aroma compounds in cigarette mainstream smoke by gas chromatography-tandem mass spectrometry

Trace analysis of multi-targets in complex matrices such as cigarette smoke has always been a great challenge for analysts. In this paper, a high-throughput qualitative and quantitative method was developed and validated to determine 559 aroma compounds in mainstream smoke using gas chromatography-tandem mass spectrometry. Among four commonly used extraction solvents, dichloromethane showed obvious advantages in extracting the target aroma compounds with different polarity. An analyte protectant mixture consisting of 3-methoxy-1,2-propanediol, 1,2-octandiol, 1,2-nonanediol, and 1,2-tetradecanediol was first presented to compensate for the matrix effect, which was suitable for solvents of a wide polarity range such as hexane, dichloromethane, acetone, acetonitrile, and methanol. Moreover, the introduction of precolumn backflushing markedly improved the instrument robustness in analyzing complex cigarette smoke. The results showed that the system retained good stability after 30 days of injection. The proposed method performed well in terms of key validation parameters: accuracy (70.3–118.8% for 552 compounds), inter/intraday precision (0.1–10.7% and 0.2–18.2%), and sensitivity (limit of detection 0.12–102.54 ng/mL). Finally, this method was successfully applied to analyze 12 different commercial cigarette brands. The proposed method has good application prospects based on its robustness and may be used as a potential tool to transfer the cigarette design from an experience-dependent mode to a digital design mode. This method also shows potential in assaying aroma compounds in essentials, food or plant-based substrates.

Construction and Application of Tennis Teaching Digital Resources Based on Deep Learning

Tennis teaching is an important part of traditional physical education in China. It aims to cultivate students’ lifelong exercise habits, improve learning efficiency, and promote social development. Therefore, based on the concepts of deep learning and digital resource construction, this paper proposes the course structure design. This paper first describes the current situation of tennis teaching, then studies the relevant content of deep learning, and discusses the most commonly used neural network algorithm in the field of deep learning. Then, using the research method of the questionnaire survey, combined with the digital teaching mode, the teaching of Chinese college students tennis group research, and compared with the traditional teaching mode. The results showed that the experimental group (EP) learned more balanced technical movements than the control group (CP). The teaching effect of digital resource tennis course is better than conventional teaching, which shows that digital resource tennis course can master students’ skills better than conventional teaching. Therefore, the construction of digital resources based on deep learning can improve students’ tennis technology and stimulate students’ interest in tennis.

Semantic Study on Network News Texts in Mode of “Distant Reading”

The corpus adopted in this study is from the official news texts of Chinese and foreign network media collected and processed by researchers. By Voyant, a web-based text reading and analysis platform, the study finds and analyzes the semantic differences of lexical chunk Chinese culture in Chinese and foreign news stories under the semantic view of systematic-functional grammar with the digital humanistic mode “distant reading” as the semantic analysis research means. the study explores the implicit semantic deviation and its logical semantic relationship between Chinese and foreign news texts.

A rough set, formal concept analysis and SEM-PLS integrated approach towards sustainable wearable computing in the adoption of smartwatch

The rapid growth of sustainable computing towards the energy, power and environment seize an immense attention from bigger organizations to an individual life. Besides the world is advancing towards the digital mode and smartwatch is gaining its popularity because of additional importance to improve lifestyle. Moreover, it is not restricted to only time viewer rather paves a way in user's daily life. Therefore, it is highly cardinal in identifying the factors among consumers influencing the adoption of smartwatch in sustainable wearable computing. Traditional data modelling tools limited to technology acceptance model is used to this end. After all the study deals with user's behaviour that includes uncertainties and thus studying such problems using computational intelligence techniques is pivotal. In this research work we hybridize rough set, partial least square, and formal concept analysis to study smartwatch users adoption in wearable computing. Initially, the reliability and validity of the proposed model is analysed using structural equation modelling along with partial least square. Further, decision rules are generated using the rough set. Finally, important factors affecting the user's behavioural adoption towards sustainable wearable computing is discovered using formal concept analysis.

Higher Education Institutions and Digital Practices in the Context of COVID-19

<p>Before the Novel Coronavirus outbreak (COVID-19), an open distance learning system was prevalent in India. Only a few institutions delivered education through digital or hybrid modes. However, with the onset of COVID-19, the digital mode of education has gained popularity, and its prevalence is now commonplace. There is no easy substitute for the digital mode of education and its adoption involves multilevel changes. This paper examines adoption of the digital mode of imparting education by Higher Education Institutions (HEI) in India. Web interviews were undertaken with principal stakeholders hailing from diverse sets of India’s higher education institutions with the aim to understand in-depth, digital practices during COVID-19. Qualitative tools were used to analyse the data. The institutions found to be using heterogeneous ways to disseminate learning. While some of them practice a basic form of digitalisation, some had developed their own best practices. As a behavioural pattern, the development and prevalence of the digital mode may continue even post COVID-19. However, education through digital mode will persist to be plagued with challenges like digital divide. </p>

Forest cover in India: A victim of technicalities

Congruency between forest cover protection and development objectives is usually difficult to achieve. However, going strictly by the official statements and reports released by the government, much like the Indian economy, Indian forest cover also seems to be on an upward trajectory, in the recent past. This in spite of the numerous incidents wherein the government has seemingly undermined forest conservation legislation and efforts and instead favored industrial development. An inquiry into the evolution of legislation on forest protection reveals that improvements in the Indian forest cover has roots in three key technicalities while the reality is complete opposite. These are the expansion of the inclusion criteria of defining forests, reduction in Minimum Mapping Area while calculating area under forests and change in the manner of forest mapping from the earlier visual mode to a digital mode. We discuss the implications of such technicalities in preserving the forest cover.

Struggling with Digital Pandemic: Students’ Narratives about Adapting to Online Learning at Home during the COVID-19 Outbreak

With the ongoing catastrophe of the COVID-19 pandemic, the world seems to have come to a standstill. Daily living routines, work, and schools predominantly launched into a state of confusion, and people across the globe excessively find ways to cope with their experiences of this traumatic disaster. Concerning schools, the pandemic has dramatically challenged the education system with teaching and learning processes managed remotely, utilising online platforms. This paper explores university students’ perception of online learning, specifically during the outbreak of the COVID-19 pandemic, to uncover how they respond to this ‘new normal’ digital mode of teaching and learning and how they seek to regain control over the sudden shift in their lives. Through interviews with students from Universiti Darussalam (UBD) and Universiti Islam Sultan Sharif Ali UNISSA, this original article reveals students’ transformative behaviours during online learning, and institutional supports that contribute to the shaping of students' online learning experiences in Brunei.

Digital peak current mode control of isolated current‐fed push‐pull DC‐DC converter with slope compensation

AbstractThe isolated current‐fed push‐pull dc‐dc converter has some practical advantages such as improved cross regulation characteristics, reduced output noise, and good overall efficiency. Although detailed insight on this converter is available in the literature, the use of digital peak current mode with slope compensation control methodology has not been explicitly presented. This paper discusses digital peak current mode control of a current‐fed push‐pull converter with a novel double digital pulse‐by‐pulse current limiting scheme. Push‐pull topology is implemented on the primary side of an isolation transformer in a dc‐dc bidirectional converter. Achieving this control solution of isolated push‐pull converter is attractive especially in controlling battery power flow in smart micro‐grids. By using a digitally controlled push‐pull converter, the ability to change controller parameters and the use of droop control methods for storage are easier. Furthermore, current mode control provides capability of equal current sharing between parallel converters and eliminates the transformer saturation problem that is common in push‐pull topology. Using continuous time model of the converter, a Type II compensator is designed and implemented in discrete time domain. Digital slope compensation is applied to eliminate the high frequency oscillations caused by current feedback loop. The control method and slope compensation are implemented on STM32F303 mixed‐signal microcontroller. On‐chip analog comparator disabled the PWM output if the sensed current exceeds the reference current until next PWM cycle. The digital controller performance is confirmed by 13 W hardware implementation including fast transient response and stable operation.

Light controlled dimerization of spiropyran as a tool to achieve dual responsive capture and release system in aqueous media

A photoresponsive spiropyran derivative was synthesized and evaluated for redox and light-responsive behavior. The response of the spiropyran derivative was also investigated towards metal ions using techniques like UV–vis, digital colorimetry, and cyclic voltammetry (CV). Photochromic spiropyran displayed redox responsive behavior, which was influenced by UV and Visible lights. Redox responsive spiropyran selectively interacted with Fe3+ ions, which was exploited to demonstrate alteration in the cyclic voltammetric (CV) signal in the Fe3+ ion complex. The probe was further used as a light-controlled reversible tool for the detection of Fe3+ ions. CV studies under light irradiation indicated that the visible light (450 nm and 532 nm) exposure led to a change in the current (Ip,c & Ip,a) for the probe and probe-Fe3+ complex. However, the reversibility was witnessed in the voltammogram when solutions were exposed to 450 nm visible light. Digital colorimetry in solution and on a paper-based device aided by a smartphone was successfully used to perceive ferric ions with the help of spiropyran. The reuse of the probe on a paper-based device was demonstrated in water through digital mode assisted by a smartphone with the aid of 450 nm light.

Research on the Reform of Digital Economy Professional Training Mode from the Perspective of "Internet Plus Curriculum Thinking"

Innovative talent training mode is a key problem to be solved in the talent training of digital economy specialty in Colleges and universities. From the new teaching mode of "Internet plus curriculum thinking politics", the training mode of digital economy professionals needs to be improved. Therefore, based on the analysis of the role of "Internet plus curriculum thinking" in the training of digital economy professionals, this paper fully combines the problems and deficiencies of the current digital economy professional training, and proposes that from the top level design to the teaching staff, then to the improvement of the evaluation system and other measures to achieve the goal of cultivating comprehensive digital economy talents with both professional knowledge and ideological and moral quality.

Brand Digital Marketing under Intranet Security Control Based on the Machine Learning Classification Algorithm

With the advent of the information age, digital marketing models have begun to receive attention and to have applications in many industries. Although the digital marketing model has thus become a hot spot in the sales world, there is still not enough research on digital marketing. In order to optimize brand digital marketing under internal and external security control based on the machine learning classification algorithm, this paper uses fuzzy system theory to perform fuzzy analysis on various experimental data studied, convert it into a fuzzy set, obtain the fuzzy solution of the related function, establish related models of machine learning classification algorithms, and identify and collect relevant experimental data in an intelligent way, saving time for data collection. This paper collects the customer characteristics, customer sensitivity, brand promotion, and brand revenue of a brand within seven days; then uses the classification algorithm and collected data to predict and analyze the future data results; and uses the machine learning classification algorithm model formula to solve the correlation function. The final experimental results show that, in the digital marketing mode, network marketing brings 75% of the benefits to the brand, which is the highest among the four digital marketing models, and it has the best brand publicity level, 45%. At the same time, customers’ sensitivity to the brand reaches 50% under the network marketing model.

PERCEPTION OF FARMERS ABOUT COVID-19 PANDEMIC IMPACT ON THEIR LIVELIHOODS

The COVID-19 pandemic and the associated lockdown for an extended period must created a signicant adverse impact on different sectors, including that of the agriculture. Enforcement of curfew as a control measure caused adverse effect in both rural and urban people live and livelihood. Nationwide lockdown against the novel coronavirus disease, the agricultural system and farmers heavily endured a period of deterioration. The present study aimed to depict intricacies of COVID 19's inuence on farmer livelihood. For the purpose 200 farmers in Tamil Nadu had identied and state their opinion through digital mode. The ndings of the study indicated that signicant decrease in agricultural output, consumption, and marketing, as well as a signicant increase in input prices and the country's labour shortage.It also emphasize the epidemic has impacted farmers' earnings and standard of living.

The initial assessment of the impacts of Covid-19 pandemic on forest resilience and forest-dependent community resilience in East Kalimantan

Many groups of people living in and around forests in Kalimantan are confronted with particularly acute and simultaneous challenges during the covid-19 pandemic. These challenges include forest security, food security, nutrition, and basic livelihoods, declining incomes due to social restrictions, vulnerable land and resource rights that are critical, access to health care, lack of access to government social protection measures, and information mainly through digital mode. This paper seeks to build an understanding of the sustainability of the communities most dependent on forest resources for the vulnerable members of society’s livelihood and an understanding of the importance of secure land and forest rights to adapt and cope with livelihood difficulties in times of pandemics and other difficult circumstances. We combined social scientific methods including review of relevant published literature, participatory observation, and semi-structured interviews. This paper identified factors influencing community resilience to include population size, autonomy, community leadership, economic diversity, and infrastructure base. The covid-19 experience shows that resilient communities (e.g. with secure land and forest rights, ability to govern forests, and having incomes from forest products) were able to invest in health care, livelihoods, and employment generation activities during the pandemic. They were also able to prevent the spread of disease by using customary practices to enforce self-isolation and protective measures.

Digital Archive Management Based on Lucene Full-text Search Engine

With the rapid development of society, people have an increasing higher demand for information. As one of the vital information resources, archives are facing the significant impact of the global information tide. The original manual management method for archives can no longer meet the needs of people for their efficient management and utilization. How to transform archive management from manual to digital mode based on advanced information technology has become a hot issue of concern and research. Based on the digital application of archive management, supported by the advanced computer, communication, network, database, and multimedia technologies, we designed and developed a general digital system of archive management. The topological structure of the client/browser/server is used in the system, with the cross-platform characteristics.

Research on the Problems and Countermeasures of Enterprise Financial Management under the Current Internet Economy

The application of Internet technology in the development of enterprises can effectively reflect the business situation of enterprises. Through the Internet platform, enterprises can display their own advantages and specialties, realize the supply chain links all over the world, strengthen the development trend of business digitization, use the digital mode to enable their own management mode, give full play to the advantages of e-commerce, and put forward higher requirements for the internal financial management of enterprises.Therefore, we should make full use of the Internet and understand the Internet with the help of the Internet, To improve the efficiency of financial management.

Microchamber-Free Digital Flow Cytometric Analysis of T4 Polynucleotide Kinase Phosphatase Based on Single-Enzyme-to-Single-Bead Space-Confined Reaction.

Digital bioassays have attracted extensive attention in biomedical applications due to their ultrahigh sensitivity. However, traditional digital bioassays require numerous microchambers such as droplets or microwells, which restricts their application scope. Herein, we propose a microchamber-free flow cytometric method for the digital quantification of T4 polynucleotide kinase phosphatase (T4 PNKP) based on an unprecedented phenomenon that each T4 PNKP molecule-catalyzed reaction can be spatially self-confined on a single microbead, which ultimately enables the one-target-to-one-fluorescence-positive microbead digital signal transduction. The digital signal-readout mode can clearly detect T4 PNKP concentrations as low as 1.28 × 10-10 U/μL, making it most sensitive method to date. Significantly, T4 PNKP can be specifically distinguished from other phosphatases and nucleases in complex samples by digitally counting the fluorescence-positive microbeads, which cannot be realized by traditional bulk measurement-based methods. Taking advantage of the novel space-confined enzymatic feature of T4 PNKP, this digital mechanism can use T4 PNKP as the enzyme label to fabricate digital sensing systems toward various biomolecules such as digital enzyme-linked immunosorbent assay (ELISA). Therefore, this work not only enlarges the toolbox for high-sensitivity biomolecule detection but also opens new gates to fabricate next-generation digital assays.

The Effectiveness of the Different Patterns of the Digital Story in the Development Linguistic Intelligence Skills and Mindfulness Among Jordanian Primary Students During the Corona Pandemic

<p>The purpose of this study was to investigate effectiveness of the different pattern of the digital story in the development linguistic intelligence skills and Mindfulness in Jordanian primary students during the Corona pandemic. Quasi experimental factorial design was adopted in this research. The researcher designed two patterns of the digital story in the Arabic language course. The study sample consisted of 43 students and were randomly (simple random sample) selected. The study sample was divided into two groups. The first group consisted of 23 students who studied through a written digital story, as for the second group, it consisted of 20 students who studied through the digital audiovisual story. The dependent variables were the linguistic intelligence skills and Mindfulness. The researcher used two scales. The first is to measure linguistic intelligence skills, and the second is to measure mindfulness. Data were collected and appropriate statistical analysis performed. ANCOVA was used to determine the significant differences among the two groups. Analyses of covariance (ANCOVA) were performed to examine the main effects of the independent variables on the dependent variables. The findings of this study showed that students using the digital audiovisual story mode performed significantly better than those students using the written digital story in the linguistic intelligence skills, and mindfulness.</p>