Online Solutions Research Articles

BH, tech collaboration aims to transform telehealth, online group therapy

A behavioral health organization and a provider of virtual classrooms and online solutions have collaborated to offer patients evidence‐based mental health and addiction treatment through an interactive and online option. Officials, who announced the partnership in September, said the effort delivers personalized individual and group treatment plans in a secure, compliant and engaging online space.

Online solutions and sustainability in festival tourism

The article describes the activities of the Arts for Rural Development Foundation and the Hungarian Tourism Programme Foundation (MTPA) and details how they support online solutions for festival tourism and sustainability. By means of examples, the Arts for Rural Development Foundation shows how festivals can be a tool for rural development. The Valley of Arts Festival and the Kerekdomb Festival are outstanding examples of cultural events which have had a long-term impact on the region’s economy and community. The Foundation’s mission is to boost the economy of rural areas and to preserve and promote local cultural and built heritage. Involving volunteers and partners, excellent communication and sustainable methods, the events actively support rural development. The MTPA focuses on the development and competitiveness of the domestic events sector by providing professional materials, conferences and international contacts. RaKÉTa supports the professional development of event organisers and the coordination of events through a scholarship programme and a unique calendar of events. The Valley of Arts Festival’s sustainability strategy reduces its environmental footprint through a range of environmentally friendly solutions, supporting public transport and making progress on waste management. The MTPA also focuses on training event organisers and increasing their international visibility, helping the Hungarian events sector to grow and become more competitive.

Understanding users of online energy efficiency counseling: comparison to representative samples in Norway.

To achieve substantial energy efficiency improvements in the privately owned building stock, it is important to communicate with potential renovators at the right point in time and provide them with targeted information to strengthen their renovation ambitions. The European Union recommends using one-stop-shops (OSSs), which provide information and support throughout the whole process, from planning to acquisition of funding, implementation, and evaluation as a measure to remove unnecessary barriers. For this paper, we invited visitors of two Norwegian websites with OSS characteristics to answer an online survey about their renovation plans and energy efficiency ambitions. The participants visited the websites out of their own interest; no recruitment for the websites was conducted as part of the study (N = 437). They also rated a range of psychological drivers, facilitators, and barriers to including energy upgrades in a renovation project. Their answers were then compared to existing data from representative samples of Norwegian households regarding home renovation in 2014, 2018, and 2023, as well as data from a sample of people who were engaged in renovation projects in 2014, which was collected by the research team with a similar online survey. Furthermore, 78 visitors completed a brief follow-up online survey one year later to report the implemented measures. We found that visitors of the websites are involved in more comprehensive renovation projects and have substantially higher ambitions for the upgrade of energy efficiency compared to the representative samples. They also perceive stronger personal and social norms, as well as have a different profile of facilitators and barriers. The findings suggest to policymakers that OSSs should be marketed especially to people motivated to upgrade energy efficiency but lack information and are unable to implement their plans alone. Also, the construction industry might refer interested people to such low-threshold online solutions to assist informed and more ambitious decisions.

Advances in personalized modelling and virtual display of ethnic clothing for intelligent customization

Abstract To enhance the intelligence of the ethnic clothing customization industry and provide online solutions for clothing ordering and fashion shows, this study analyses the latest developments in the fields of digital human models, 3D clothing models, and virtual clothing displays in recent years. This study focuses on analysing the categories and processes of three related technologies in clothing virtual display and compares the advantages and disadvantages of four human body modelling methods. Reshaping the facial features of a 3D body scan model and binding the bones of each part is key to providing a personalized body model. In addition, 3D clothing modelling technology is classified into three methods. The 3D fabric scan data are used to establish realistic seam information and process details simulation and use hybrid modelling methods to virtually sew 2D samples, which can enhance the realism of clothing models. The virtual display platform for ethnic clothing is constructed through layered design based on the Unity3D engine, matching versions and virtual display. The above research ideas can solve bottleneck problems in clothing customization. This has important guiding significance for opening up the ethnic clothing customization market, promoting the intelligence of the customization industry, and promoting ethnic clothing culture.

Pioneering Online Assessment Solutions: Empirical Experiences from Educational Practitioners

The emergence of E-learning has shaped the university's new pedagogical, environment to guarantee business continuity in worse pandemics. Assessment is an end process of learning however, measuring it to globally accepted standards is still a nightmare in universities. It is not clear whether the assessment spells out the tasks posed to learners? illustrate an observable demonstration of the learners’ ability? or have a detailed scoring criterion? no wonder stake holders still doubt assessment online. The research examined qualitative literature regarding the innovative strategies for online educational assessment sustainable and scalable. To gather empirical qualitative data on this subject, a systematic review of literature was undertaken. The study responded to one major research question. “What are the experiences of educational practitioners reported in empirical qualitative research studies pertaining innovative strategies for online educational assessment?” We conducted a qualitative review of the scientific literature published between 2010 and 2022 using the PRISMA framework, thematic analysis was employed to generate themes and patterns. Education databases, like ERIC were used for the article search. Search phrases utilized for this systematic review included “Strategies for online assessment” and “Assessment of E-learning.” 16 articles were included in the analysis for this study. findings point to the Asynchronous Online Discussion, E-portfolios, Distance Project based assessment, Online proctored Exams, Online non-proctored exams as sustainable strategies. The study demonstrates a potential solution to online assessment in universities and restores confidence among educational partners and funders.

Implications of remote education in Angolan higher education in the context of the Covid-19 pandemic: Analysis of the experience of the Benguela polytechnic institutes

The emergence of the COVID-19 pandemic has brought profound transformations in various spheres of society, forcing countries to adapt their education systems as strategies for interrupting teaching. Accordingly, this article deals with the implications of the teaching and learning model adopted and applied during the Covid-19 period for higher education, based on an analysis of the experiences of the ISPB and ISPM. The text explores the notion of remote education as a teaching system that allows the continuity of classes in the context of a pandemic crisis - at the same time as establishing the difference with distance learning. The study was conducted using bibliographical research and a quantitative approach. The data collection instrument adopted was a questionnaire, applied in two ways: online via Google form and face-to-face. The results led to the conclusion that students expressed a higher level of dissatisfaction with the application of remote education during the pandemic. What's more, the online solutions applied during this period were not significantly productive. A large proportion of them did not participate in online classes due to lack of financial resources, digital resources and lack of motivation. It can also be seen that, in general, the level of interaction and collaboration in all instances was somewhat weak. However, despite all the constraints, the study reveals that some of those who took part in the online study, i.e. remote education, were able to develop some collaborative skills, and that the online classes contributed to improving meaningful learning.

New discrete-time zeroing neural network for solving time-dependent linear equation with boundary constraint

Recently, continuous- and discrete-time models of a zeroing neural network (ZNN) have been developed to provide online solutions for the time-dependent linear equation (TDLE) with boundary constraint. This paper presents a novel approach to address the bound-constrained TDLE (BCTDLE) problem by proposing a new discrete-time ZNN (DTZNN) model. The proposed DTZNN model is designed using the Taylor difference formula to discretize the previous continuous-time ZNNN (CTZNN) model. Theoretical analysis indicates the computational property of the proposed DTZNN model, and numerical results further demonstrate its validity. The applicability of the proposed DTZNN model is finally confirmed via its application to the motion planning of a PUMA560 robotic arm.

An optimized CIP-FEM to reduce the pollution errors for the Helmholtz equation on a general unstructured mesh

The continuous interior penalty finite element method (CIP-FEM) has shown promise in reducing pollution errors when numerically simulating the Helmholtz equation with high wave numbers. However, its reliance on structured meshes largely limits its applicability. To address this limitation, this paper presents a novel approach to CIP-FEM on general unstructured meshes. The interior penalty parameters of the CIP-FEM are determined in an offline phase through minimizing the residual obtained by substituting the plane waves into the CIP finite element equation. To enhance accuracy, a quasi-Newton algorithm is employed to correct the penalty parameters and minimize errors of the CIP finite element approximations to the plane waves. The calculated interior penalty parameters can be saved, enabling the online solutions of CIP-FEM to be obtained by reusing these parameters for arbitrary sources during practical computations. Numerical experiments are presented to demonstrate the significant reduction of pollution errors for both linear and higher-order CIP-FEMs on unstructured meshes. Furthermore, the proposed algorithm successfully simulates high-frequency acoustic fields in a three-dimensional vehicle cabin with greatly reduced errors within certain fixed computational time, demonstrating its practical effectiveness in real-world scenarios.

Turbulence Closure With Small, Local Neural Networks: Forced Two‐Dimensional and β‐Plane Flows

AbstractWe parameterize sub‐grid scale (SGS) fluxes in sinusoidally forced two‐dimensional turbulence on the β‐plane at high Reynolds numbers (Re ∼25,000) using simple 2‐layer convolutional neural networks (CNN) having only O(1000) parameters, two orders of magnitude smaller than recent studies employing deeper CNNs with 8–10 layers; we obtain stable, accurate, and long‐term online or a posteriori solutions at 16× downscaling factors. Our methodology significantly improves training efficiency and speed of online large eddy simulations runs, while offering insights into the physics of closure in such turbulent flows. Our approach benefits from extensive hyperparameter searching in learning rate and weight decay coefficient space, as well as the use of cyclical learning rate annealing, which leads to more robust and accurate online solutions compared to fixed learning rates. Our CNNs use either the coarse velocity or the vorticity and strain fields as inputs, and output the two components of the deviatoric stress tensor, Sd. We minimize a loss between the SGS vorticity flux divergence (computed from the high‐resolution solver) and that obtained from the CNN‐modeled Sd, without requiring energy or enstrophy preserving constraints. The success of shallow CNNs in accurately parameterizing this class of turbulent flows implies that the SGS stresses have a weak non‐local dependence on coarse fields; it also aligns with our physical conception that small‐scales are locally controlled by larger scales such as vortices and their strained filaments. Furthermore, 2‐layer CNN‐parameterizations are more likely to be interpretable.

Purchase intentions in a chatbot environment: An examination of the effects of customer experience

Research background: Chatbots represent valuable technological tools that allow companies to improve customer experiences, meet their expectations in real time, and provide them with personalized assistance. They have contributed to the transformation of conventional customer service models into online solutions, offering accessibility and efficiency through their integration across various digital platforms. Nevertheless, the existing literature is limited in terms of exploring the potential of chatbots in business communication and studying their impact on the customer's response. Purpose of the article: The main objective of this study is to examine how consumers perceive chatbots as customer service devices. In particular, the paper aims to analyze the influence of the dimensions of “Information”, “Entertainment”, “Media Appeal”, “Social Presence” and “Risk for Privacy” on the “Customer Experience” and the latter on the “Purchase Intention”, under the consideration of the Uses and Gratifications Theory. Moderations due to Chatbot Usage Frequency for some of the relationships proposed are also analyzed. Methods: An empirical study was performed through a questionnaire to Spanish consumers. The statistical data analysis was conducted with R software through the lavaan package. To test the hypotheses from the conceptual model a structural equation modelling approach was adopted. Findings & value added: The results obtained identify the main characteristics of chatbots that can support brands to effectively develop their virtual assistants in order to manage their relational communication strategies and enhance their value proposal through the online customer journey. Findings demonstrate the contribution that chatbot dimensions make to the online consumer experience and its impact on the purchase intention, with the consideration of the moderating effect exercised by the user's level of experience (novice vs. experienced) with the use of chatbots. Regarding managerial implications, this research offers recommendations for e-commerce professionals to manage chatbots more effectively. The “Entertainment” and “Social Presence” dimensions can be operationalized at a visual (e.g., appearance of the avatar and text box, use of designs aligned with the website) and textual level (e.g., style and tone of voice, use of expressions typical of the target audience) to generate a feeling of proximity with the chatbot and facilitate its adoption. “Media Appeal” requires that the chatbot be easy to use, effective, and accessible, to facilitate its usability. Finally, mitigation of “Privacy Risk” concerns should be achieved by presenting an appropriate privacy policy and requesting permission for the use of customers’ private information.

Can online banking replace personal banking? A survey of Hungarian banking habits

AbstractOne of the important issues of banking today is the role bank branches and online banking solutions play in serving consumers. With the help of a representative Survey of 1,000 adults in Hungary conducted in 2022, we examine how well online and mobile banking solutions can provide a suitable alternative to bank branches. Based on our results, online banking solutions cannot fully replace personal banking in Hungary due to the customers' attitudes, as we can see that their use does not significantly affect the frequency of visits to the bank branch, and their usage rate does not increase with the distance from the bank branch. We also point out that for the Hungarian population the trend of bank branch closures may entail the risk of being left out of the formal financial system mostly for the older, digitally less receptive social strata living in small settlements and in a relatively worse financial situation.

Online algorithms for ambulance routing in disaster response with time-varying victim conditions

We present a novel online optimization approach to tackle the ambulance routing problem on a road network, specifically designed to handle uncertainties in travel times, triage levels, required treatment times of victims, and potential changes in victim conditions in post-disaster scenarios. We assume that this information can be learned incrementally online while the ambulances get to the scene. We analyze this problem using the competitive ratio criterion and demonstrate that, when faced with a worst-case instance of this problem, neither deterministic nor randomized online solutions can attain a finite competitive ratio. Subsequently, we present a variety of innovative online heuristics to address this problem which can operate with very low computational running times. We assess the effectiveness of our online solutions by comparing them with each other and with offline solutions derived from complete information. Our analysis involves examining instances from existing literature as well as newly generated large-sized instances. One of our algorithms demonstrates superior performance when compared to the others, achieving experimental competitive ratios that closely approach the optimal ratio of one.

Vietnamese EFL teachers’ approach in employment of Communicative Language Teaching (CLT) via synchronous online learning

With the advent of technology-enhanced learning, research emphasizes the pivotal role of teachers’ beliefs in shaping their implementation of Communicative Language Teaching (CLT), whether in traditional or virtual classroom. Nevertheless, little investigation has been conducted concerning Vietnamese EFL teachers' beliefs, especially those working in language centres and private teaching, with regards to CLT and their implementation of this approach in online contexts. This research aims to explore the universal beliefs towards CLT among Vietnamese teachers as well as their methods to apply the approach into their virtual classrooms. A mixed-methods approach, with a combination of an online questionnaire and semi-structured interviews, was adopted to generate both generalised and in-depth data from Vietnamese EFL teachers. Findings showed that Vietnamese teachers have positive beliefs towards the principles and characteristics of CLT despite certain misconceptions regarding the importance of teaching grammar and a preference for teaching speaking skills. Moreover, they demonstrated a noticeable dedication as they apply certain teaching strategies and activities associated with CLT during their virtual classes. Accordingly, the research revealed a strong link and alignment between teachers' beliefs and their implementation of the approach in virtual classrooms. The research also highlighted the relevant obstacles faced by Vietnamese teachers when adopting CLT online and potential solutions to these problems.

Pioneering Online Assessment Solutions: Empirical Experiences From Educational Practitioners

Pioneering Online Assessment Solutions: Empirical Experiences From Educational Practitioners

ADP-Based Decentralized Load Frequency Control Schemes to Multiarea Asynchronous Markov Jumping Power Systems With Experience Replay.

This article investigates the problem of robust decentralized load frequency control (LFC) in multiarea interconnection power systems, in the presence of the external disturbances and stochastic abrupt variations, such as component failures and different load demands. To capture the different operating conditions of the load in the multiarea power systems, a Markov superposition technique is skillfully employed to model the system's component matrices. To solve the Nash equilibrium solution of the zero-sum differential game problem, an improved online adaptive dynamic programming (ADP) algorithm based on the experience replay technique (ERT) is developed, which addresses the nonlinear coupling difficulties encountered in solving the game algebraic Riccati equations (Game AREs). The proposed algorithm weakens the condition that traditional policy iteration online solutions of zero-sum games require an initial stabilizing control policy pair, and considers the fact that only the transition probability matrix is known, while the prior knowledge of the dynamics is completely unknown. The algorithm is used to obtain both a minimum LFC and maximum disturbance policy for a given disturbance rejection level. Additionally, a safer LFC controller of the power systems with the Markov jumping parameters is designed. The stability and convergence of the proposed algorithm are demonstrated. Finally, the effectiveness and good performance of the proposed design method are validated using a two-area four-mode simulation example.

The dynamics of food for special medical purposes (FSMPs) utilization in cancer care: from doctor recommendations to online pharmacy procurement.

As cancer treatments advance, the demand for supportive nutritional care becomes increasingly critical, with FSMPs playing a vital role in patient recovery and quality of life. Employing a cross-sectional study design, we surveyed cancer patients from Romania to assess their experiences purchasing FSMPs through traditional and online pharmacies. We analyzed the factors influencing their choices, the perceived benefits and challenges of online access, and the role of healthcare professional guidance in their decision-making process. The study reveals that while patients appreciate the ease of access and the broad spectrum of available FSMPs online, they grapple with the financial burden and the need for reliable information to make informed decisions. Through a cross-sectional analysis, we found that the expertise and recommendations of healthcare professionals remain integral to the FSMP selection process, suggesting that digital solutions should enhance, not replace, traditional healthcare interactions. Moreover, our findings highlight a crucial gap in the taste and variety of FSMPs, suggesting that patient adherence could be improved through product innovation. The study found a significant association between the type of medical unit where patients followed their treatment (state-owned clinic) and whether they received recommendations from a specialist oncologist for using FSMPs. Nutritionists' recommendations were also significantly associated with a higher likelihood of purchasing FSMPs online. The study reveals that despite the benefits of digital access, a crucial need exists for regulatory measures and professional oversight to ensure the safe and informed use of FSMPs. The trust placed in healthcare professionals' recommendations continues to be instrumental in navigating the digital marketplace. This work paves the way for future strategies to integrate online solutions with established healthcare practices to optimize cancer care in the digital age.

ROLE OF ARTIFICAL INTELLIGENCE IN EDUCATION

Now a days using of AI is became a part of education, different methods are using to enhance the knowing of students by smart boards, interactive panel, different apps like to attend online classes etc but along with good there are some disadvantages by using AI in our day-to-day life in education. Students lacking, they interest towards ethical education and running for online solutions in their studies. By this they may get easy for learning and slowly unknowing they addicting to the mobiles, tabs and lacking interaction with teachers and peers for sharing they knowledge as well as doubts.

Empowering optimal transport matching algorithm for the construction of surrogate parametric metamodel

Resolving Partial Differential Equations (PDEs) through numerical discretization methods like the Finite Element Method presents persistent challenges associated with computational complexity, despite achieving a satisfactory solution approximation. To surmount these computational hurdles, interpolation techniques are employed to precompute models offline, facilitating rapid online solutions within a metamodel. Probability distribution frameworks play a crucial role in data modeling across various fields such as physics, statistics, and machine learning. Optimal Transport (OT) has emerged as a robust approach for probability distribution interpolation due to its ability to account for spatial dependencies and continuity. However, interpolating in high-dimensional spaces encounters challenges stemming from the curse of dimensionality. The article offers insights into the application of OT, addressing associated challenges and proposing a novel methodology. This approach utilizes the distinctive arrangement of an ANOVA-based sampling to interpolate between more than two distributions using a step-by-step matching algorithm. Subsequently, the ANOVA-PGD method is employed to construct the metamodel, providing a comprehensive solution to address the complexities inherent in distribution interpolation.

The School Literacy Program: The Parental Role in Improving Literacy Skills on Online Learning of Elementary Students

Parents who have a high level of education tend to understand more and think that education is very important for their children, so they prioritize education for their children. In addition, the way to educate children tends to be different between parents who have a high level of education and those with low education. The aim of this study is to analyze the parental role to improve literacy skills on students. This study is qualitative research with the subject is parents of students, moreover the Interview will be the instrument and data collection of this study. However, data collection of this using interview with survey method to get data from participants. However, data triangulation is data analyzing method for this study. The instrument used is a questionnaire. The population is 134 people, using a tolerance level of 5%, it can be seen that the number of samples in this study were 100 parents. The result found that Online learning is inseparable from problems that are obstacles in its literacy skills of elementary students, including online learning for elementary school students such as limited telecommunication networks. It is important to know the barriers for parents to assist their children to improve their literacy skills in online learning, solutions and projections of online learning for elementary school students.in conclusion, role of parents could take responsibility of their children in improving literacy skills through online learning for elementary school.

Electronic Archive as a Means of Quick Access to Management Information

The purpose of the article is to carry out a comprehensive analysis of the document flow of the city council and to develop models that will highlight the internal processes of electronic document flow after its implementation in the institution. The research methodology consists of the study of scientific works that highlight the methods of electronic archives and the storage of electronic documents in them, the analysis of the state of the city council in the implementation of information technologies in the work process of the institution and the selection of the necessary software, studying the economic possibilities of the institution and the prospects of using their electronic products in the field of document management. The scientific novelty consists in expanding the understanding of the need to modernize the document flow in state institutions of Ukraine, in particular in the city council, by analyzing the prospects of such innovations, detailing the internal processes of the electronic archive, and choosing a technological solution to the set goals. Conclusions. The transfer of state institutions to electronic archives will make it possible to speed up the processes of document circulation and save on the provision of physical archives. The implementation of online solutions for document management is becoming an increasingly common phenomenon because Ukraine is digitizing at a rapid pace, but problematic sectors remain, such as institutions in small towns and villages. The process of implementing electronic archives based on professional systems costs a lot of money, however, if the community does not have the necessary funds, it can be implemented completely free of charge with the help of Google Sheets. The system of electronic archives will allow institutions to work not only more efficiently, but also more safely because in times of war, there are always risks for employees, so if necessary, access to the system will be from any place where there is access to the Internet. Keywords: electronic archive, document circulation, Internet, information, digital resources, modernization.