Miracle-dz/UniFAR-FTUs huggingface dataset:
TEffectR: an R package for studying the potential effects of transposable elements on gene expression with linear regression model

Introduction Recent studies highlight the crucial regulatory roles of transposable elements (TEs) on proximal gene expression in distinct biological contexts such as disease and development. However, computational tools extracting potential TE –proximal gene expression associations from RNA-sequencing data are still missing. Implementation Herein, we developed a novel R package, using a linear regression model, for studying the potential influence of TE species on proximal gene expression from a given RNA-sequencing data set. Our R package, namely TEffectR, makes use of publicly available RepeatMasker TE and Ensembl gene annotations as well as several functions of other R-packages. It calculates total read counts of TEs from sorted and indexed genome aligned BAM files provided by the user, and determines statistically significant relations between TE expression and the transcription of nearby genes under diverse biological conditions. Availability TEffectR is freely available at https://github.com/karakulahg/TEffectR along with a handy tutorial as exemplified by the analysis of RNA-sequencing data including normal and tumour tissue specimens obtained from breast cancer patients.
Displaced or Augmented? How does Artificial Intelligence Affect Our Jobs: Evidence from LinkedIn

With the rapid advances of artificial intelligence (AI), increasingly more job tasks can be automated. Despite the AI hype, we know little about the extent to which AI may destroy or augment the career of different occupations of professionals. Although most existing literature focused on creating AI automation scores for each occupation, AI may automate non-critical tasks for many occupations which indirectly increases the productivity and value creation of jobs. Therefore, we develop a novel method to estimate the AI automation scores for core and supplemental work activities of all major occupations and analyze how employees’ human capital characteristics may lead to different results: being augmented or displaced by AI. Particularly, skills accumulated from prior work experiences and excellent educational background can reduce the automation risks. Additionally, professionals with major in computing, law, and medicine are more likely to be augmented since only their supplemental work activities may be automated.
Word embeddings: reliability & semantic change

Word embeddings are a form of distributional semantics increasingly popular for investigating lexical semantic change. However, typical training algorithms are probabilistic, limiting their reliability and the reproducibility of studies. I investigated this problem both empirically and theoretically and found some variants of the SVDPPMI algorithm to be unaffected. Furthermore, I created the JeSemE website to make word embedding based diachronic research more accessible. It provides information on changes in word denotation and emotional connotation in five diachronic corpora. Finally, I conducted two case studies on the applicability of these methods by investigating the historical understanding of electricity as well as words connected to Romanticism. They showed the high potential of distributional semantics for further applications in the digital
Validation of an automated adenoma detection rate calculating system for quality improvement of colonoscopy

Purpose This study aimed to validate an automated calculating system developed for determining the adenoma detection rate (ADR). Methods To calculate the automated ADR, the data linking processes were as follows: (1) matching the selected colonoscopy results with the pathological results, (2) matching the polyp number from colonoscopy with that from pathology and confirming the histopathological results of each colonic polyp, and (3) confirming the histopathological results, especially the adenoma status of each colonic polyp. To verify the accuracy of the automated ADR calculating system, we manually calculated the ADR for 3 months through medical record review. Accuracy was calculated by measuring the error rate for each value. The cause of error was analyzed by additional order and chart review. Results After excluding 318 cases, 2,543 patients (1,351 men and 1,192 women; median age, 57.9 years) who underwent colonoscopy were included in this study. When the automated calculating system was used, polyps were found in 1,336 cases (52.6%) and adenomas were found in 1,003 cases (39.4%). When the manual calculating system was used, polyps were found in 1,327 cases (52.2%) and adenomas were found in 1,003 cases (39.4%). The accuracies of the polyp detection rate and ADR according to the automated calculating system were 99.3% and 100%, respectively. Conclusion We developed a system to automatically calculate the ADR by extracting hospital electronic medical record results and verified that it provided satisfactory results. It may help to improve colonoscopy quality.
Users' Game Design Element Preferences in Health Behavior Change Support Systems for Physical Activity: A Best-Worst-Scaling Approach

Over the last decades, physical inactivity has become one of the leading health risk factors in modern societies. To incentivize people to be more physically active, gamified health behavior change support systems (HBCSSs) are a promising approach. These systems often make use of gamification to keep their users engaged over a sustained period of time. However, despite its popularity, gamification often fails due to insufficient designs, which neglect users’ needs. Building on extant research that investigated users’ preferences in other gamification contexts, we conduct a survey among 447 potential users of HBCSSs for physical activity, using a best-worst-scaling approach. Our results indicate that users generally prefer the game design elements progress, goals, points, and levels, which is partially different from past research on preferred game design elements in other contexts. Thus, our research contributes to the understanding of contextual differences in users’ gamification preferences.
AIS Electronic Library

Digital technologies have redefined many jobs and are challenging how people define themselves at work. Scholars have long argued that people’s work identities are mainly derived from the organizational environment in which they are embedded. But advances in digital technologies, in combination with a global restructuration of labor markets, have led a large segment of the workforce into alternative work arrangements outside of traditional, hierarchical corporations. Understanding work-related identities and in particular the ways in which they emerge thus becomes an important topic in the context of digital work. Building on an ethnographic study of digital nomads, this research-in-progress shows that digital workers, not associated with an organization or profession, are nonetheless able to construct work identities. Our preliminary findings illustrate how identity is emerging in the flow between two opposing practices and how this flow is continuously shaped by material, spatial, and temporal forces.
Chronic captivity stress in wild animals is highly species-specific

Lay summary: A review that compares changes in body mass, glucocorticoid and sympathetic responses, and reproductive and immune function, in wild animals recently introduced into captivity to their wild counterparts. Conclusion is that captivity can be a powerful chronic stressor that may be possible to mitigate, but the impact is highly species-specific.
Understanding Phishing Susceptibility: An Integrated Model of Cue-utilization and Habits

This preliminary study investigates individuals’ susceptibility in responding to phishing email. Drawing on cue-utilization theory and habit, this paper examines the antecedents of individual s’ phishing susceptibility. A survey was conducted with 228 students who were target of actual phishing attack. The results provide strong support for the model's theoretical structure. The results also indicate that, urgency arousing cues embedded in a phishing email are positively related to individual s’ phishing susceptibility. While individual automatic use of communication media leads to phishing victimization, routine use of communication media does not. The study contributes to the stream of phishing research that seeks to understand why individual fall for phishing by explaining the effect of habits and arousal cues. The study results provide foundation for future research to employ rigorous methodology that measure actual phishing by manipulation of the framing and content of email messages to develop and test a more robust model.
Can Conversational User Interfaces Be Harmful? The Undesirable Effects on Privacy Concern

Conversational user interfaces (CUI) enable real-time communication between the buyer and the seller in electronic commerce based on natural spoken or written language. Although first insights reveal that customers have privacy concerns with CUI that prevent them from adoption, online retailers have especially and increasingly implemented messaging services (e.g., live chats on websites) combined with artificial intelligence. Against this background, and drawing on information systems and consumer research, the current research investigates how the mere presence of messaging services on websites influences website users’ privacy concerns. The results of two online experiments reveal that the presence of CUI evokes perceptions of a social presence that translate into perceptions of being watched, thus positively influencing the privacy concern. The findings of this study extend the those of previous research by revealing that perceived social presence elicited by the presence of CUI also yields negative effects. Moreover, the literature on privacy concerns is enhanced by providing an explanation for the effects of social presence.
Value Co-Creation in Nascent Platform Ecosystems: A Delphi Study in the Context of the Internet of Things

Over the last decade, powerful digital platforms orchestrating ecosystems with millions of complementors have leveraged value co-creation to form tempting centers of gravitas. The nexus for prosperity or failure of such platforms often lies in the early stages of platform development. However, little is known about the challenges of nascent digital platform ecosystems in the context of value co-creation. Many recent instantiations of nascent digital platform ecosystems are located within the realm of the Internet of Things. To shed light on challenges regarding value co-creation in nascent digital platform ecosystems, we conduct a Delphi study with 21 experts from leading IoT organizations. Our results suggest that value co-creation in nascent platform ecosystems places significant challenges on balancing openness and control, building trust, and implementing value capture mechanisms. Our findings add empirical evidence to the debate on the evolutionary perception of platform governance by highlighting the importance of ecosystem maturity.
The influence of malarial infection of the placenta on the incidence of prematurity

Records of 512 deliveries were studied. In 15% the placental smear showed evidence of malaria parasites a finding consistent with the parasite rate for adults in Ilaro during the period of the investigation. Of 68 apparently full-term deliveries from mothers with infected placentae 29.4% weighed 5.5 lb or less at birth and were classed as premature contrasting with the incidence of prematurity in 395 single full-term births from uninfected placentae at 16.5% premature. This evidence lends weight to the suggestion that malarial infection of the placenta is a cause of premature birth in Africans of southwestern Nigeria. The advisability of using chemoprophylaxis is worthy of consideration but the possible effects on womens immunity needs to be studied.
Forum.

This section includes a selection of book reviews, diary dates and other items of interest to nurse researchers. Contributions from readers are welcome as are letters discussing issues raised in this journal. Write to the Editor, NTResearch, Emap Healthcare, Porters South, Crinan Street, London N1 9XW. E-mail NTResearch@healthcare.emap. co.uk
BRAZILIAN SCHOOL OF PUBLIC AND BUSINESS ADMINISTRATION Thesis Dissertation

This dissertation reports empirical evidence on the impact of planning and monitoring (feedback) on performance/deviation, failure to achieve the goal, and overconfidence. One hundred and eighty-six proprietary day traders participated in an experiment, where they were exposed to interventions before starting trading. Subjects were randomly assigned to one of four groups: planning, feedback, a combination of both interventions, and a control group. The treatment phase lasted one week, constituting a mixed design. The main findings are: a) only the monitoring process can be used as a self-control mechanism oriented to goal achievement, But in situations where traders keep tracking their performances without associate it to a goal, they are sensitive to unfavorable outcomes; b) planning the gain target for the day was not a successful strategy neither toward goal achievement nor to performance; c) traders who use the past day return as a forecasting source became more overconfident in reaching the weekly income.
Evaluation Measures for the SemEval-2016 Task 4 “Sentiment Analysis in Twitter” (Draft: Version 1.13)

This informal document details the evaluation measures that will be used in SemEval2016 Task 4 “Sentiment Analysis in Twitter”, a revamped edition of SemEval-2015 Task 10 (Rosenthal et al., 2015). Note: changes that have been made to the present document since Version 1.0 onwards are typeset in blue. Task 4 consists of five subtasks; the evaluation measures that we will use for them will be discussed in Sections 1 to 5. Subtasks B to E conceptually form a “2×2 matrix” (see Table 1), where the rows indicate the goal of the task (classification vs. quantification) and the columns indicate the granularity of the task (two-point scale vs. five-point scale). Note that, for Subtasks B to E, the dataset is subdivided into a number of “topics”, and the subtask needs to be carried out independently for each topic. As a result, each of the evaluation measures described below is “macroaveraged” across the topics, i.e., we compute the measure individually for each topic, and we then average the results across the topics.
TV Policy Dynamics: Examining Effects of Advertising on Arrests in Cities

Through the work done by Shaw & McKay (1942), Bursik (1989), Messner & Sampson (1991), and Sampson & Wilson (1995), social disorganization and focus on inner-city crime became a major point of interest for researchers. The idea of social disorganization looks at the weakening of social institutions, both formal and informal, that eventually lead to crime and the study of crime patterns in urban areas. This framework has been used to study crime and pinpoint areas where decisions from governmental officials and local communities have eroded the collective efficacy of neighborhoods, leading to crime. In 2003, the FCC made changes to the media ownership rules that allowed for the intrusion of implicit bias into news mediums like a virus, hijacking the content being sent out to the public for consumption. Then, in 2005, Jerry Kang came up with ideas that accused the FCC to be directly linked with the bias in media and for the increase of arrest rates in minority groups, mainly the Black population. Kang’s arguments piggybacked on the arguments of Sampson & Wilson in regards to utilizing the macro-structural approach when looking at conscious political decisions actively affecting crime, and positing that the FCC was responsible for doing just that. This study looks to use the framework and ideas put forth by both Sampson & Wilson (1995) and Kang (2005) to connect the FCC to media implicit bias and increased arrest rates of minority groups. The study utilized the top 110 cities or markets in terms of television and cable advertising to show how impactful implicit bias in in changing arrest rates, and also focuses on the arrest rates of both White and Black populations as well as demographic and population data to run a multivariate regression OLS analysis.
Variational Bayesian Methods for Stochastically Constrained System Design Problems

We study system design problems stated as parameterized stochastic programs with a chance-constraint set. We adopt a Bayesian approach that requires the computation of a posterior predictive integral which is usually intractable. In addition, for the problem to be a well-defined convex program, we must retain the convexity of the feasible set. Consequently, we propose a variational Bayes-based method to approximately compute the posterior predictive integral that ensures tractability and retains the convexity of the feasible set. Under certain regularity conditions, we also show that the solution set obtained using variational Bayes converges to the true solution set as the number of observations tends to infinity. We also provide bounds on the probability of qualifying a true infeasible point (with respect to the true constraints) as feasible under the VB approximation for a given number of samples.
Assessing the effects of perceived quality and perceived value on customer satisfaction

Article history: Received: September 15 2019 Received in revised format: September 28 2019 Accepted: October 31, 2019 Available online: November 1, 2019 This empirical study aims to identify the effects of different factors influencing on customer satisfaction, such as perceived quality or perceived value in a case study in chemical industry. Understanding the effects of such variables helps us manage customers properly, balancing between perceived quality and perceived value. The research design is a quantitative method and employs Structural Equation Method (SEM) to ensure the correlation between constructs. The method results confirm that perceived value contributes a stronger influence on customer satisfaction than perceived quality does. Chemical market tends to put perceived value as a priority as long as the product quality meets the standard parameter. Perceived quality is reflected more by service while there is less point of differentiation on tangible product. The paper may limit the generalization of the findings, hence the replication in other industries are encouraged. © 2020 by the authors; licensee Growing Science, Canada
Organisational Factors Influencing Adoption Of Lean Logistics In Manufacturing Companies In Nairobi, Kenya: A Case Of Roto Moulders Limited

xi CHAPTER ONE: INTRODUCTION . 1 1.1 Background to the Study . 1 1.3 General Objective . 4 1.4 Specific Objectives . 4 1.5 Research Questions . 4 1.6 Significance of the Study . 5 1.7 Limitation of the Study . 5 1.8 Delimitation of the Study . 5 1.9 Assumptions of the Study . 5 1.10 Definition of Significant Terms . 6 1.11 Organization of the Study . 8 CHAPTER TWO: LITERATURE REVIEW . 9 2.
THE EFFECTS OF MOOD ON SEMANTIC MEMORY FOR WORD EMOTIONAL CONTENT A Thesis Presented to the Faculty of the Graduate School of Cornell University In Partial Fulfillment of the Requirements for the Degree of Master of Arts

Although the effect of emotion on episodic memory has been extensively studied recently, little is known about its effects on the content of semantic memory. The present research explores how mood influences semantic memory for word emotional content. Following the induction of mood states that varied in valence and arousal, participants rated the valence and arousal of a list of words. Ratings were obtained immediately after mood induction and two days later. The positive mood induction groups rated words as more positive and more arousing than the negative groups, in both the immediate session and the delayed session, while they only rated their mood as more positive in the immediate session. Thus, mood valence affected semantic memory for word emotional content, and the effect persisted long after mood had disappeared. In addition to and independent from the mood valence effect, a time effect showed that word arousal ratings obtained in the delayed session were higher than those in the immediate session.
Serum amyloid A exhibits pH dependent antibacterial action and contributes to host defense against Staphylococcus aureus cutaneous infection

Serum amyloid A (SAA), one of the major highly conserved acute-phase proteins in most mammals, is predominantly produced by hepatocytes and also by a variety of cells in extrahepatic tissues. It is well-known that the expression of SAA is sharply increased in bacterial infections. However, the exact physiological function of SAA during bacterial infection remains unclear. Herein, we showed that SAA expression significantly increased in abscesses of Staphylococcus aureus cutaneous infected mice, which exert direct antibacterial effects by binding to the bacterial cell surface and disrupting the cell membrane in acidic conditions. Mechanically, SAA disrupts anionic liposomes by spontaneously forming small vesicles or micelles under acidic conditions. Especially, the N-terminal region of SAA is necessary for membrane disruption and bactericidal activity. Furthermore, we found that mice deficient in SAA1/2 were more susceptible to infection by S. aureus. In addition, the expression of SAA in infected skin was regulated by interleukin-6. Taken together, these findings support a key role of the SAA in host defense and may provide a novel therapeutic strategy for cutaneous bacterial infection.
Acute Effect of Quadriceps Myofascial Tissue Rolling Using A Mechanical Self-Myofascial Release Roller-Massager on Performance and Recovery in Young Elite Speed Skaters

Objectives: The main purpose of the present study was to investigate the acute effects of myofascial tissue rolling on endurance performance and recovery using a novel designed mechanical self-induced multi-bar roller-massager. Methods: a randomized crossover, repeated measure design was used. Eight national levelled, junior and neo-senior, speed skaters underwent a 10 min myofascial quadriceps rolling pre- and fifteen minutes post- a stepwise incremental cycling-test to exhaustion followed by a Wingate performance-test. The myofascial quadriceps rolling was used in one out of two laboratory testing-days. Time to exhaustion, peak oxygen uptake (VO2peak), blood lactate concentration during 30 min of recovery, and peak- and mean- power during the consecutive Wingate test were recorded. Results: Myofascial quadriceps rolling using roller-massager resulted in higher blood lactate concentration at exhaustion and a larger blood lactate clearance after 10 min to post exhaustion test (both p < 0.05), a tendency for a positive effect on Wingate peak-power (p = 0.084; d = 0.71), whereas no marked differences were observed on VO2peak, time to exhaustion and Wingate mean-power. Conclusion: Despite indications for potential benefits of the quadriceps myofascial tissue release using the mechanical self-induced multi-bar roller-massager on blood lactate concentration and Wingate peak-power, the myofascial tissue release gave no marked performance improvements nor indications of negative effects. Future studies could examine the long-term effects of myofascial tissue release on performance and recovery. Furthermore, integrating a measure of the participants’ subjective experience pre- and post the myofascial tissue release would be of great interest.