Miracle-dz/UniFAR-FTUs huggingface dataset:
Democratization of Corporate IT using IS Architecture Representation Framework (ISARF)

Democratization, digital and data transformation, the need for responsible access to data and analytics resources, and the emergence of cloud computing are creating the need for understanding architectural aspects of IT for technical and business users. The combination of these trends, resulting in software-defined hardware, has blurred the line between software and hardware for IT developers. Similarly, the plug & play nature of serverless computing has allowed business users to manage their own cloud deployments. In spite of the numerous benefits, the combination of these new trends has created some challenges for IT management, one of which is to make the enterprise architecture more robust, accessible, and understandable. We, utilizing the representation theory and the theory of digital object, propose an IS architecture representation framework (ISARF) as a way to explain complex IT architectural concepts to software developers, business users, and executives. We posit that this framework can be utilized for the growing need for democratization of IT.
Look What I'm Interested in! Toward a Better Understanding of How Personalization and Self-Reference Drive News Sharing

Along with the continuing shift from traditional to digital news consumption, many news consumers share news via social networks and messaging services. Hence, news providers benefit from an increase in user involvement and a growing awareness of their news offerings. Although personalizing digital news offerings has become common practice, we know little about how personalization affects news sharing. Building on the stimulus-organism-response model, we propose a comprehensive framework to investigate how personalization and self-referential cues impact users’ sharing intention mediated by their cognitive and affective reactions. To test our research model, we conduct an experiment with a fictitious news application and analyze the results using partial least squares structural equation modeling. The results reveal that personalization and self-reference impact users’ perceived preference fit and perceived enjoyment, which in turn drive news sharing. The findings have important implications for researchers and news providers.
What Makes a Good Story - The Use and Acceptance of Storytelling in Business Intelligence

In the age of big data and analytics, the constantly growing complexity of information requires its suitable visualization. As an increasingly popular visualization technique, storytelling supports the successful discovery, presentation, and communication. However, a scientific discussion about the role of storytelling in Business Intelligence (BI) is still missing. Therefore, we consider it as beneficial to investigate this quite young phenomenon and its characteristics in more detail. In the paper we present a morphological box for storytelling in BI based on the results of an extensive literature review. In addition, we were interested to what extent BI users utilize and accept the storytelling concept. We have answered this research question by analyzing the use and acceptance of the storytelling feature in BI tools by adapting the Unified Theory of Acceptance and Use of Technology (UTAUT).
Lost in translation: A study of (mis)conceptions, (mis)communication and concerns when implementing gamification in corporate (re)training

This exploratory study concerns companies in the manufacturing industry that consider implementing gamification in their online training to satisfy the accelerating demand for workforce upskilling. Through participation in different gamification design workshops with a gamification studio and its clients, this study aims to identify what topics are discussed and should be consider ed when designing a gamified solution for training in the manufacturing industry. The study raises the propositions that gamification needs 1) a more robust definition in business to business exchange; 2) a better explanation of how performance outweighs effort; 3) consideration of the senior users and/or the social norms that exist in the manufacturing industry.
Business Analytics Capabilities for Organisational Resilience

Nowadays, organizations are facing unique challenges created by different disruptions, including natural disasters, new technologies, regulatory changes, and more recently, a global pandemic. Consequently, the need to build, sustain, and continuously enhance Organizational Resilience (OR) is greater than ever. An ongoing process of building OR requires high-quality data and business analytics (BA) capabilities. In this paper we aim to investigate the yet-to-be explored link between BA and OR. We achieve this aim by conducting a multidisciplinary literature review on OR and BA, focusing on BA capabilities for OR. Based on our findings, we then propose a conceptual framework of BA capabilities for OR. In doing so, we also bring a well-established area of OR to the attention of BA researchers, as a critically important area for further BA research and practice.
Modeling Framework and Coordination of DER and Flexible Loads for Ancillary Service Provision

Distributed energy resources and demand-response initiatives are expected to increase the flexibility of future power systems. This paper presents new models of individual photovoltaic systems, batteries, and thermostatically controlled loads that can be used to propose and validate new coordination schemes. Unlike previous works that focus on aggregate representations, these models make it possible to represent more accurately the capabilities and limitations of these resources. For demonstration purposes, the paper proposes a new coordination scheme that employs signals to individual units without having full information of their actual conditions. This low-cost scheme is able to steer the distributed units towards the desired operation. It is expected that mature versions of this type of coordinators will provide new tools and measures for system operators to face abnormal system conditions without high investment costs.
Digital Platform Workers under COVID-19: A Subaltern Perspective

Digital labour is widely depicted as a carrier of economic opportunities for poor and marginalised individuals. Such an orthodoxy is however questioned from research pointing at the structural vulnerabilities of digital work, vulnerabilities that the COVID-19 crisis has highlighted on a global scale. The central contribution of this paper is that subalternity theory offers the intellectual tools to understand the structural vulnerability of digital platform workers, setting the ground for studying emerging forms of collective resistance among them. Drawing on a data repository of web sources collected through the first four months of the COVID-19 crisis, it reveals the establishment of a mainstream discourse from platform representatives, the presence of forms of systematic devoicing among workers, and the emergence of a paternalistic attitude enacted by the platforms in continuity with the pre-crisis situation. Implications are drawn for the literature on digital labour, and for the study of emerging solidarity networks among workers subjected to subalternity. © 2021 IEEE Computer Society. All rights reserved.
Knowledge Sharing Behavior in Homeland Security - The Roles of Trust, Technology, and Expectations

This study focused on the knowledge sharing of employees at homeland security. In this study we developed and tested a theoretical model on the factors that influence employees’ attitude, intention, and behavior to share knowledge. We relied on the theory of reasoned action and media synchronicity theory to build our theoretical model. We found support for most of our hypotheses in this study which are consistent with prior studies on knowledge sharing. In particular, we found that trust had a positive relationship with the attitude to share knowledge. Another important finding is the role of information and communication technology (ICT) in knowledge sharing in homeland security. We found that ICT to support processing of information strengthened individual employees’ intention to share knowledge while the technology to support transmission of information facilitated knowledge sharing behavior.
Identification of Vessels on Inland Waters Using Low-Quality Video Streams

Video surveillance can be used to monitor recreational and commercial vessels on inland waters. It is difficult to identify vessels on the basis of registration numbers alone, especially when structure and size are not standardized in a way that allows for easy recognition. In this paper, we propose a novel vessel identification method that can work continuously on streams with a high compression rate or visible compression artifacts. This method can identify all types of moving vessels during daylight. It should work with existing video monitoring systems used to monitor inland waters. When a vessel has hull inscriptions, the method can identify that vessel. If hull inscriptions are not present, the method identifies the direction of movement of the vessel. The tests were performed by real-time video playback of prerecorded samples in the test environment. The method correctly identifies 94% of vessels and the performance indicates that it is suitable for practical application.
Using digital platforms to promote a service-oriented logic in public sector organizations: A case study

A growing number of scholars and practitioners have recognized that value is defined and cocreated by citizens and that citizens must be involved in the service delivery process to improve the quality and efficacy of public services. Central to this service-dominant logic is that public sector organizations cannot manufacture value for citizens; they can only make a value proposition that the citizen might choose to use. Hence, value must be cocreated. However, this cocreation entails accommodating cocreation practices with millions of users. Currently, cocreation is often limited to involving a carefully selected set of users in crafting requirements early and/or measuring user satisfaction upon service launch. There is an empirical blindspot in the current literature in terms of how to shape service delivery in a way that is capable of effectively capturing emergent and process-oriented value cocreation across large user groups. Through a longitudinal case study of the IT department at the Norwegian Labour and Welfare Administration (NAV), which provides services to millions of users, this paper explores how digital platforms are used to transform value cocreation into a process of continuous improvement. We find that adopting a process-oriented approach for cocreation within public sector organizations requires structural changes, including sourcing strategy and governance structure. We also show the importance of digital platforms in increasing the efficiency of cocreation. We discuss how these structural changes were made and the role played by digital platforms in achieving these changes.
Management Emotion and Firm's Propensity of Strategic IT Investment

Firm’s propensity of strategic IT investment describes the tendency of firms to engage in different strategic roles of IT when IT investment decisions are made. Different from prior IS business value literature that has largely taken rational decision making for granted, this paper considers the irrational characteristics of firms’ decision making and investigated the impacts of management emotion on firms’ propensity of strategic IT investment. Based on 191 annual reports of 32 companies from three industries in a 6-year period (i.e., 2010-2015 fiscal year), we applied sentiment analysis to retrieve emotion tunes embedded in each report and analyzed their relationship with both the volume and the composition of three types of strategic IT signals (automate, informate and transform). Our results show that positive management emotion promotes firm’s propensity of all types of strategic IT investments, and increase weights of informate and/or transform IT among all strategic IT investments. With positive management emotion, firms also show propensity of investing in strategic IT different from the industry’s dominant IT strategic role.
The Role of Information Technology in Fintech Innovation: Insights from the European Fintech Ecosystem

Fintech is an active area of innovation and a rapidly growing sector of the economy, yet relatively little is known about how information technology contributes to innovation in fintech. We draw on the business model canvas framework and we examine the role of information technology in the business models of leading European fintech startups. We find that information technology plays a key role across nearly all components of the fintech business models that we reviewed, orchestrating resources and processes to efficiently deliver personalized financial services to customers. Focusing on the IT-enabled value propositions across the fintech startups in our sample, we find that the startups tend to emphasize low-cost offerings that may pose a threat to incumbent business models in financial services.
Understanding the "Holiday Effect" in Online Restaurant Ratings

Plenty of studies have demonstrated the holiday effect in human decision-makings. However, extant research fails to explore whether and how a holiday effect exists in online word-of-mouth generation. This work utilizes online restaurant reviews obtained from the most popular review platform in China to investigate this question with multiple empirical tests. The results suggest that diners are more likely to give a lower online rating on holidays, and this relationship is driven by a combination of restaurants’ specific reasons and diners’ specific factors. Specifically, the level of crowdedness and the quality of the restaurant can partly explain this relationship. Moreover, reviewers are found to be driven by cognitive mental processes instead of being carried away by emotions when they post online ratings on holidays. However, those who need to work overtime during holidays are found to be driven by bad mood when they post online ratings.
Effects of a Short-Term Resistance-Training Program on Heart Rate Variability in Children With Cystic Fibrosis—A Randomized Controlled Trial

Background: Cystic fibrosis (CF) affects the autonomic nervous system (ANS) and exercise in healthy children modulates the interaction between sympathetic and parasympathetic activity. This study aimed to evaluate the effects of a short-term resistance exercise program on heart rate variability (HRV) in children and adolescents with CF. Methods: A randomized controlled trial was carried out in children diagnosed with CF aged 6–18 years. Individuals were divided into two groups: control (CON) and resistance-training (EX). Individuals in the EX group completed an individualized guided resistance program (5-RM—60–80%) for 8 weeks (3 sessions of 60 min/week). Upper and lower limbs exercises (seated bench press, seated lateral row, and leg press) were used. HRV was measured using a Suunto watch with subjects in lying position. Results: Nineteen subjects (13 boys) were included (CON = 11; and EX = 8). Mean age was 12.2 ± 3.3, FEV1 (forced expiratory volume in the first second) z-score was 1.72 ± 1.54 and peak oxygen consumption (VO2peak) 42.7 ± 7.4 mL.Kg–1.min–1. Exercise induced significant changes in the frequency-domain variables, including a decrease in LF power (p = 0.001, d = 0.98) and LF/HF ratio (p = 0.020, d = 0.92), and an increase in HF power (p = 0.001, d = −0.97), compared to the CON group. No significant changes were found for time-domain variables, although increases with a moderate effect size were seen for SDNN (p = 0.152, d = −0.41) and RMSSD (p = 0.059, d = −0.49) compared to the CON group. Conclusion: A short-term resistance exercise-training program was able to modulate HRV in children and adolescents with CF presenting mild to moderate lung function impairment and good physical condition. Clinical Trial Registration: www.ClinicalTrials. gov, identifier NCT04293926.
Aerobic Oxidations in Asymmetric Synthesis: Catalytic Strategies and Recent Developments

Despite the remarkable advances in the area of asymmetric catalytic oxidations over the past decades, the development of sustainable and environmentally benign enantioselective oxidation techniques, especially with the efficiency level similar to natural enzymes, still represents a challenge. The growing demand for enantiopure compounds and high interest to industry-relevant green technological advances continue to encourage the research pursuits in this field. Among various oxidants, molecular oxygen is ubiquitous, being available at low cost, environmentally benign and easy-to-handle material. This review highlights recent achievements in catalytic enantioselective oxidations utilizing molecular oxygen as the sole oxidant, with focus on the mechanisms of dioxygen activation and chirogenesis in these transformations.
Multi-Mode Surface Generalization Supports a Detailed Urban Flooding Simulation Model

With the aim of achieving high precision and high efficiency, recent research on hydraulic flood models has tended to focus on the algorithms for solving the shallow water equations of Saint-Venant. While development of the algorithms will help to improve the simulation precision and the solving of specific problems, the other influential factor in flood risk modeling is the precision and reasonable generalization of the data. This is even more important for increasing the model’s computational accuracy and efficiency but is frequently undervalued. Frequent rainstorm waterlogging is having a serious impact on China’s large cities. Early warning of waterlogging risk following a rainstorm forecast is an effective method for preventing or reducing potential losses. Concrete waterlogging information including locations, depth, and process is essential for early warnings. This paper focuses on the influence of data precision and reasonable generalization on an urban flooding model. A detailed hydraulic urban flooding model characterized by detailed data processing and component coupling can help to provide advance information. In Beijing city, road networks, overpasses, and buildings are so highly concentrated that rainstorms easily result in waterlogging in low-lying locations. Therefore, partial microrelief is the determinate factor in waterlogging simulation. This paper shows that multi-mode surface data generalization and detailed model coupling support a perfect simulation of a Beijing urban flooding model. The influence of buildings, roads, and overpasses on surface water flow was carefully considered based on the innovative aspect of a fine generalization of partial microrelief. One novelty is the simulation of the whole overland flow from the beginning of rainfall to mesh, not only from manhole overflow, because the waterlogging is caused mainly by initial surface water runoff rather than by manhole overflow. A second novelty is the use of a new kind of coupling mode based on physical mechanisms between surface and pipe models. Here, rain perforated strainers instead of manholes play a role as flow exchange points between pipe and surface. This coupling mode is much closer to the real world. Based on a detailed Beijing urban flooding model, a scenarios library of typical rainfall events and corresponding waterlogging results was constructed. Several years of practice have demonstrated that a rich library of scenarios can be used effectively for the quick identification and early warning of waterlogging risk for a forecast rainfall. Test results show that multi-mode surface generalization is effective in improving outcomes and useful for scientific decision making in controlling urban waterlogging.
Radiation-Induced Vascular Disease—A State-of-the-Art Review

Since the 1990s, there has been a steady increase in the number of cancer survivors to an estimated 17 million in 2019 in the US alone. Radiation therapy today is applied to a variety of malignancies and over 50% of cancer patients. The effects of ionizing radiation on cardiac structure and function, so-called radiation-induced heart disease (RIHD), have been extensively studied. We review the available published data on the mechanisms and manifestations of RIHD, with a focus on vascular disease, as well as proposed strategies for its prevention, screening, diagnosis, and management.
Wuhan to World: The COVID-19 Pandemic

COVID-19 is a Severe Acute Respiratory Syndrome (SARS), caused by SARS-CoV-2, a novel virus which belongs to the family Coronaviridae. It was first reported in December 2019 in the Wuhan city of China and soon after, the virus and hence the disease got spread to the entire world. As of February 26, 2021, SARS-CoV-2 has infected ~112.20 million people and caused ~2.49 million deaths across the globe. Although the case fatality rate among SARS-CoV-2 patient is lower (~2.15%) than its earlier relatives, SARS-CoV (~9.5%) and MERS-CoV (~34.4%), the SARS-CoV-2 has been observed to be more infectious and caused higher morbidity and mortality worldwide. As of now, only the knowledge regarding potential transmission routes and the rapidly developed diagnostics has been guiding the world for managing the disease indicating an immediate need for a detailed understanding of the pathogen and the disease-biology. Over a very short period of time, researchers have generated a lot of information in unprecedented ways in the key areas, including viral entry into the host, dominant mutation, potential transmission routes, diagnostic targets and their detection assays, potential therapeutic targets and drug molecules for inhibiting viral entry and/or its replication in the host including cross-neutralizing antibodies and vaccine candidates that could help us to combat the ongoing COVID-19 pandemic. In the current review, we have summarized the available knowledge about the pathogen and the disease, COVID-19. We believe that this readily available knowledge base would serve as a valuable resource to the scientific and clinical community and may help in faster development of the solution to combat the disease.