Miracle-dz/UniFAR-FTUs huggingface dataset:
Public Value Creation using Social Media Applications for the Local Government Context

Social media applications are receiving growing attention from Saudi Arabian local government agencies as they have the potential to offer public values to those agencies as well as providing benefits to citizens by enhancing public engagement and innovating public services. Despite the growth in the literature on social media, there is still limited understanding on how public value is created through the use of various social media applications in local government context. To address this concern, we have developed a model to investigate public value creation using social media applications. The model is evaluated using a pilot case study at a large Saudi Arabian municipality. The model and empirical evidence together contribute towards establishing a theoretical foundation for research into the impact of social media applications for public value creation. In addition, council managers can learn useful lessons drawing on our findings on how best utilise social media applications for local government matters.
Physician mothers’ experience of workplace discrimination: a qualitative analysis

Abstract Objectives To report woman physicians’ experiences, in their own words, of discrimination based on their role as a mother. Design Qualitative analysis of physician mothers’ free-text responses to the open question: “We want to hear your story and experience. Please share” included in questions about workplace discrimination. Three analysts iteratively formulated a structured codebook, then applied codes after inter-coder reliability scores indicated high concordance. The relationships among themes and sub-themes were organized into a conceptual model illustrated by exemplary quotes. Participants Respondents to an anonymous, voluntary online survey about the health and wellbeing of physician mothers posted on a Facebook group, the Physician Moms Group, an online community of US physicians who identify as mothers. Results We analyzed 947 free-text responses. Participants provide diverse and vivid descriptions of experiences of maternal discrimination. Gendered job expectations, financial inequalities (including lower pay than equally qualified colleagues and more unpaid work), limited opportunities for advancement, lack of support during the pregnancy and postpartum period, and challenging work-life balance are some of the key themes identified. In addition, participants’ quotes show several potential structural drivers of maternal discrimination and describe the downstream consequences of maternal discrimination on the physician herself, her career, family, and the healthcare system. Conclusions These findings provide a view of maternal discrimination directly from the perspective of those who experience it. Women physicians report a range of previously uncharacterized ways in which they experience maternal discrimination. While certain aspects of these experiences are consistent with those reported by women across other professions, there are unique aspects of medical training and the medical profession that perpetuate maternal discrimination.
Foundations of a visual tool for brand identity

Brand Identity is of paramount importance for organisations today. Due to the advancement of technology, faster innovation, growing competition and more demanding consumers, managing a brand is becoming more and more complex. Therefore, organisations need a consistent portrayal to create a single, compelling representation of themselves. Entrepreneurs in Startups and SMEs need to have a clear branding strategy: a narrative that defines the company’s vision, inspires employees and others, and remains relevant through changes. This paper aims to present a systematic literature review that uncovers the key concepts of corporate brand identity, in order to lay the foundation for the development of a brand identity ontology. This ontology will be the first step towards the development of a strategic tool that helps entrepreneurs co-design their brand identity, in order to express and communicate a clear and consistent image to all their stakeholders. This paper also adds to the averment of emerging stream of research in Information Systems, that states that the Information Systems discipline, through its tradition in designing artefacts, has a role to play in the design of strategic management tools.
Paving the Way for Real-Time Delphi in Information Systems Research: A Synthesis of Survey Instrument Designs and Feedback Mechanisms

Real-time Delphi is an information technology-enabled extension of the popular Delphi method. While Real-time Delphi is acknowledged to decrease study durations and panel-attrition by employing information technology to engage participants in an asynchronous fashion, its broad adoption in the information systems community has yet to be seen. Given the growing wake of ubiquity of the conventional Delphi method in information systems and the technique’s lasting implementation uncertainties, now seems to be the right time to revisit Real-time Delphi to give way to calls of a better empirical foundation. This research reviews extant literature on Real-time Delphi and provides a synthesis of employed survey instrument designs and feedback mechanisms (two central aspects of Real-time Delphi). It contributes to the methodological knowledge base of information systems research by serving as an implementation reference and foundation on which researchers can build to establish Real-time Delphi as a novel and promising addition to the information systems research methods repertoire.
Impact of Middle Turbinectomy on Airflow to the Olfactory Cleft: A Computational Fluid Dynamics Study

Background The impact of middle turbinate resection (MTR) on olfaction remains a point of debate in the current literature. Few studies have objectively evaluated olfactory cleft airflow following MTR; thus, the mechanism by which MTR may impact olfaction is poorly understood. It is not known whether the postsurgical changes in airway volume, flow, and resistance increase odorant transport or disrupt the patterns of normal airflow. Computational fluid dynamics can be used to study the nasal airway and predict responses to surgical intervention. Objective To evaluate the functional impact of MTR on nasal airflow, resistance, and olfaction. Methods Five maxillofacial computed tomography scans of patients without signs of significant sinusitis or nasal polyposis were used. Control models for each patient were compared to their corresponding model after virtual total MTR. For each model, nasal airway volume, nasal resistance, and air flow rate were determined. Odorant transport of 3 different odorants in the nasal cavity was simulated based on the computed steady airflow field. Results Total airflow significantly increased following bilateral MTR in all patient models (P < .05). Consistent with our airflow results, we found a decrease in nasal resistance following MTR. MTR significantly increased area averaged flux to the olfactory cleft when compared to controls for phenylethyl alcohol (high-sorptive odorant). Results for carvone (medium sorptive) were similarly elevated. MTR impact on limonene, a low flux odorant, was equivocal. Conclusion MTR increases nasal airflow while decreasing the nasal resistance. Overall, olfactory flux increased for high sorptive (phenylethyl alcohol) and medium sorpitve (l-carvone) odorants. However, the significant variation observed in one of our models suggests that the effects of MTR on the nasal airflow and the resultant olfaction can vary between individuals based on individual anatomic differences.
Genre and Contemporary Hollywood

This wide-ranging text is one of the first to look in detail at some of the principal genres, cycles and trends in Hollywood's output during the last two decades. It includes analysis of such films as Sense and Sensibility, Grifters, The Mask, When Harry Met Sally, Pocahontas, Titanic, Basic Instinct, Coppola's Dracula, and Malcolm X.
On the Value of Mobile Business Intelligence: an Affordance Approach

Mobile BI (m-BI) is an extension of BI delivered on mobile devices such as smartphones and tablets. Even though proponents of m-BI are highlighting its capabilities and outcomes, still its value-generating potential in organizations is surrounded by ambiguity. Given this uncertainty, we use an affordance approach to explore the action possibilities and benefits arising from the interaction of m-BI and users. We conduct a case study in a retail organization where m-BI has been in use for more than four years. Three affordances - cursory scanning, aligning distributed intelligence in real time and real-time performance tracking - are explored in detail based on their constitutive elements, namely, technological capabilities, user intention and key differences with its closest technological rival. Each affordance is further theorized in relation to the decision making process. The affordances primarily support the intelligence and the review phase of decision-making; the design phase is minimally supported, while the choice phase is not supported. Moreover, we note the performative nature of affordances, highlighting the behavioural expectations and practices they produced. (Less)
Competition between platform ecosystems: a longitudinal study of MOOC platforms

The last decade has seen a rise in software-based platforms that engender entirely new ecosystems. In newly emerging platform markets, platforms compete for partners and customers in a rapidly changing environment. Yet, extant research mostly studies platforms' supply-side and demand-side strategies in relatively established platform markets. By combining a market-level and platform-level perspective, our research aims to develop a holistic understanding about the interdependencies between business model decisions, market evolution, and performance outcomes of platforms in emerging markets. We focus on the novel context of Massive Open Online Course (MOOC) platforms, analyzing longitudinal data for 35 MOOC platforms and their ecosystems. To account for the multi-level perspective, our research applies an innovative mixed-methods approach that combines qualitative methods with quantitative measures and visualizations derived from network analysis. Our findings suggest that platforms in new markets converge towards common business models as market leaders imitate the business model innovations of its smaller competitors to manifest their market position. Based on these analyses, we derive four propositions on how the dynamics of a platform’s business model and ecosystem position affect each other and the platform’s market performance.
Peroxisomes can oxidize medium‐ and long‐chain fatty acids through a pathway involving ABCD3 and HSD17B4

Peroxisomes are essential organelles for the specialized oxidation of a wide variety of fatty acids, but they are also able to degrade fatty acids that are typically handled by mitochondria. Using a combination of pharmacological inhibition and clustered regularly interspaced short palindromic repeats (CRISPR)‐CRISPR associated protein 9 genome editing technology to simultaneously manipulate peroxisomal and mitochondrial fatty acid β‐oxidation (FAO) in HEK‐293 cells, we identified essential players in the metabolic crosstalk between these organelles. Depletion of carnitine palmitoyltransferase (CPT)2 activity through pharmacological inhibition or knockout (KO) uncovered a significant residual peroxisomal oxidation of lauric and palmitic acid, leading to the production of peroxisomal acylcarnitine intermediates. Generation and analysis of additional single‐ and double‐KO cell lines revealed that the D‐bifunctional protein (HSD17B4) and the peroxisomal ABC transporter ABCD3 are essential in peroxisomal oxidation of lauric and palmitic acid. Our results indicate that peroxisomes not only accept acyl‐CoAs but can also oxidize acylcarnitines in a similar biochemical pathway. By using an Hsd17b4 KO mouse model, we demonstrated that peroxisomes contribute to the plasma acylcarnitine profile after acute inhibition of CPT2, proving in vivo relevance of this pathway. We summarize that peroxisomal FAO is important when mitochondrial FAO is defective or overloaded. —Violante, S. , Achetib, N. , van Roermund, C. W. T. , Hagen, J., Dodatko, T. , Vaz, F. M. , Waterham, H. R. , Chen, H. , Baes, M. , Yu, C. , Argmann, C. A. , Houten, S. M. Peroxisomes can oxidize medium‐ and long‐chain fatty acids through a pathway involving ABCD3 and HSD17B4. FASEB J. 33, 4355–4364 (2019). www.fasebj. org
Nudged to Win: Designing Robo-Advisory to Overcome Decision Inertia

Decision inertia is a serious problem in financial decision-making and thus a challenge for decision support systems. We discuss recent findings and review antecedents and consequences of decision inertia from a psychological perspective. We use these insights to develop IT-based methods designed to overcome decision inertia using psychologically optimized financial decision support systems. Furthermore, we propose an experimental study to evaluate the design features of such a system. Our work is a first step in designing adaptive decision support systems that detect situations in which the user is prone to decision inertia and react by adapting interface elements appropriately that might otherwise exacerbate decision inertia – for a specific user in a specific decision situation.
Data veracity assessment: enhancing Truth Discovery using a priori knowledge. (Evaluation de la véracité des données: améliorer la découverte de la vérité en utilisant des connaissances a priori)

The notion of data veracity is increasingly getting attention due to the problem of misinformation and fake news. With more and more published online information it is becoming essential to develop models that automatically evaluate information veracity. Indeed, the task of evaluating data veracity is very difficult for humans. They are affected by confirmation bias that prevents them to objectively evaluate the information reliability. Moreover, the amount of information that is available nowadays makes this task time-consuming. The computational power of computer is required. It is critical to develop methods that are able to automatize this task. In this thesis we focus on Truth Discovery models. These approaches address the data veracity problem when conflicting values about the same properties of real-world entities are provided by multiple sources. They aim to identify which are the true claims among the set of conflicting ones. More precisely, they are unsupervised models that are based on the rationale stating that true information is provided by reliable sources and reliable sources provide true information. The main contribution of this thesis consists in improving Truth Discovery models considering a priori knowledge expressed in ontologies. This knowledge may facilitate the identification of true claims. Two particular aspects of ontologies are considered. First of all, we explore the semantic dependencies that may exist among different values, i.e. the ordering of values through certain conceptual relationships. Indeed, two different values are not necessary conflicting. They may represent the same concept, but with different levels of detail. In order to integrate this kind of knowledge into existing approaches, we use the mathematical models of partial order. Then, we consider recurrent patterns that can be derived from ontologies. This additional information indeed reinforces the confidence in certain values when certain recurrent patterns are observed. In this case, we model recurrent patterns using rules. Experiments that were conducted both on synthetic and real-world datasets show that a priori knowledge enhances existing models and paves the way towards a more reliable information world. Source code as well as synthetic and real-world datasets are freely available.
Cricket fast bowling detection in a training setting using an inertial measurement unit and machine learning

ABSTRACT Fast bowlers are at a high risk of overuse injuries. There are specific bowling frequency ranges known to have negative or protective effects on fast bowlers. Inertial measurement units (IMUs) can classify movements in sports, however, some commercial products can be too expensive for the amateur athlete. As a large number of the world's population has access to an IMU (e.g. smartphones), a system that works on a range of different IMUs may increase the accessibility of automated workload monitoring in sport. Seventeen elite fast bowlers in a training setting were used to train and/or validate five machine learning models by bowling and performing fielding drills. The accuracy of machine learning models trained using data from all three bowling phases (pre-delivery, delivery and post-delivery) were compared to those trained using only the delivery phase at a sampling rate of 250 Hz. Next, models were trained using data down-sampled to 125 Hz, 50 Hz, and 25 Hz to mimic results from lower specification sensors. Models trained using only the delivery phase showed similar accuracy (> 95%) to those trained using all three bowling phases. When delivery-phase data were down-sampled, the accuracy was maintained across all models and sampling frequencies (>96%).
Sediment accretion and accumulation of P, N and organic C in depressional wetlands of three ecoregions of the United States.

Wetland depressions without surface channel connections to aquatic systems are substantial sinks for nitrogen (N), phosphorus (P) and organic carbon (org. C). We assessed accretion, N, P and org. -C accumulation rates in 43 depressional wetlands across three ecoregions of the USA (Erie Drift Plain, EDP; Middle Atlantic Coastal Plain, MACP; Southern Coastal Plain, SCP) using caesium-137 (137Cs). The mean sediment accretion rate in minimally affected (reference) sites was 0.6 ± 0.4 mm year-1 and did not differ among ecoregions. Accumulation rates for N and org. C averaged 3.1 ± 3.1 g N m-2 year-1and 43.4 ± 39.0 g org. C m-2 year-1 respectively, and did not differ across minimally affected sites. Phosphorus accumulation rates were significantly greater in EDP (0.10 ± 0.10 g P m-2 year-1) than MACP (0.01 ± 0.01 g P m-2 year-1) or SCP (0.04 ± 0.04 g P m-2 year-1) sites. Land-use modality and wetland-type effects were analysed in SCP, with few differences being found. Depressional wetlands sequester substantive amounts of nutrients and C; their cumulative contributions may significantly affect landscape nutrient and C dynamics because of the abundance of wetland depressions on the landscape, warranting further investigation and potential watershed-scale conservation approaches.
Understanding the Blockchain through a Gamified Experience: a Case Study from Austria

The Blockchain has evoked the interests of researchers and practitioners alike. Market studies predict that it has huge potential to disrupt existing economic structures and business processes, yet the complex technology behind it makes it hard for many people to grasp the basic functionality. Lacking are easy-to-use interfaces and playful applications which would allow for a simple Blockchain exploration. The project Play4Privacy (P4P) used the ancient Chinese board game Go to increase public understanding of the Blockchain. Individuals could join teams to jointly determine the moves of the stones, and tokens could be mined while playing the game. The respective moves of the stones were displayed on the wall of a public building. In this case study we use six qualitative interviews to summarize the anticipated and unanticipated findings of the project, which was not only intended to increase public awareness concerning Blockchain technology, but also toward privacy on the Internet. The results of this research project reveal several important managerial and behavioral obstacles that have to be overcome in order for Blockchain technology to reach widespread adoption.
Longitudinal HIV Transmission Risk Profiles Among Men Who Have Sex With Men Living With HIV in the SUN Study

Examining how multiple concomitant factors interact to augment HIV transmission risk is needed to inform more effective primary and secondary HIV prevention programs for men who have sex with men (MSM) in the United States. The development of a “taxonomy” of long-term sexual and drug-related risk behavior profiles may have important implications for resource allocation and targeted HIV prevention programming. A secondary data analysis was conducted to explore longitudinal HIV transmission risk profiles among 423 MSM living with HIV enrolled in the Study to Understand the Natural History of HIV and AIDS in the Era of Effective Therapy (SUN Study). Between March 2004 and February 2012, participants completed semiannual, audio computer-assisted self-interviews that included demographics, employment status, medical information, alcohol use, stimulant use, sexual risk, and depression. Latent class analysis was used to identify patterns of risky behavior over time with respect to sexual risk, heavy drinking, and stimulant (i.e., methamphetamine and cocaine) use taken collectively. Three classes were identified: (a) High Sustained Heavy Drinker Class (33%), (b) High Mostly Stable Sexual Risk Class (17%), and (c) Overall Low Risk Class. (50%). Post hoc comparisons between classes revealed that men in Classes 1 (p = .03) and 2 (p = .02) were significantly younger than those in Class 3. In comparison to those in Classes 1 and 3, those in Class 2 were less likely to report being a racial/ethnic minority (p = .04) and had the highest self-reported sexually transmitted infections (p < .001). Findings indicate the need to better integrate sexual and substance use risk reduction strategies, including brief interventions and engagement in addiction treatment, for MSM living with HIV in the United States.
Factor cooperation for chromosome discrimination in Drosophila

Transcription regulators select their genomic binding sites from a large pool of similar, non-functional sequences. Although general principles that allow such discrimination are known, the complexity of DNA elements often precludes a prediction of functional sites. The process of dosage compensation in Drosophila allows exploring the rules underlying binding site selectivity. The male-specific-lethal (MSL) Dosage Compensation Complex selectively binds to some 300 X-chromosomal ‘High Affinity Sites’ (HAS) containing GA-rich ‘MSL recognition elements’ (MREs), but disregards thousands of other MRE sequences in the genome. The DNA-binding subunit MSL2 alone identifies a subset of MREs, but fails to recognize most MREs within HAS. The ‘Chromatin-linked adaptor for MSL proteins’ (CLAMP) also interacts with many MREs genome-wide and promotes DCC binding to HAS. Using genome-wide DNA-immunoprecipitation we describe extensive cooperativity between both factors, depending on the nature of the binding sites. These are explained by physical interaction between MSL2 and CLAMP. In vivo, both factors cooperate to compete with nucleosome formation at HAS. The male-specific MSL2 thus synergises with a ubiquitous GA-repeat binding protein for refined X/autosome discrimination.