Miracle-dz/UniFAR-FTUs huggingface dataset:
Examining the motivators of training transfer in an enterprise systems context

ABSTRACT Enterprise systems (ES) are large software packages that have been widely adopted, but are complex to deploy. One way to obtain more value from them is to train end-users. However, little is known about the effectiveness of ES training. This study examines post-training behaviour in the ES environment through the concept of training transfer and the theoretical framework of self-determination theory. It proposes that end-users’ computer self-efficacy (CSE) and mastery orientation (MO), as well as the perceived ease-of-use (PEOU) of a system, influence their motivation to transfer the skills they have gained during training to their work environment and to use the system. Data was collected from 170 ES end-users, who had previously attended ES training, through a survey. Partial least squares modelling was used to analyse the data, and all of the hypotheses were supported. This study is among the first few studies that investigate the more distal impact of information systems training.
Probabilistic Relational Models for Customer Preference Modelling and Recommendation

De nos jours, les systemes de recommandation sont utilises dans de nombreux domaines avec pour objectif d'aider les utilisateurs a decouvrir des produits/items interessants parmi un volume important d'informations en ligne. Alors que les approches de recommandation traditionnelles traitent le cas de relations simples entre utilisateurs et items, les donnees reelles sont generalement conceptualisees en terme d'objets et de relations entre objets. Les modeles relationnels probabilistes (PRM) [9] ont pour but de faire la passerelle en proposant des modeles probabilistes a partir de donnees relationnelles. Dans ce travail, nous presentons une adaptation du cadre de recommandation \uni e" propos e initialement par Huang et al. [15] qui utilise le concept des PRM et construit un classifieur de Bayes naif pour effectuer la recommandation. Nous nous proposons d'utiliser ce modele dans un contexte de demarrage a froid" o u les utilisateurs ou les items sont nouveaux dans le systeme, ou meme lorsque le systeme se construit. Nous appliquons cela aux donnees MovieLens et montrons que ce modele est capable de faire de bonnes recommandations a des nouveaux utilisateurs, meeme s'il est trop simple pour la recommandation a des utilisateurs existants.
Serum vaspin and C-reactive protein levels in women with polycystic ovaries and polycystic ovary syndrome

Objective. Our aim was to evaluate C-reactive protein (CRP) and serum vaspin levels in women with polycystic ovary syndrome (PCOS) or polycystic ovaries (PCO). Design. Twenty-four women with PCOS and 23 women with PCO constituted the study groups. The control group comprised 24 healthy women. Methods. Homeostatic model assessment for insulin resistance (HOMA-IR), CRP and serum vaspin levels were measured. The receiver–operating characteristic curve (ROC) of vaspin for prediction of women with increased diabetogenic risk was constructed. Results. The three groups did not significantly differ in age and body mass index. HOMA-IR was significantly higher in the PCOS and PCO groups than in control group. Median CRP levels in the control, PCO and PCOS groups were 0.66, 1.28 and 3.2 mg/l, respectively (p = 0.0001). Women with PCOS had significantly higher serum vaspin levels than the healthy controls [3.52 ± 1.38 vs. 0.36 ± 0.19 ng/ml, p = 0.0001]. Serum vaspin could differentiate between women with and without increased diabetogenic risk at a cut-off value of 1.82 ng/ml with a sensitivity of 83.3% and a specificity of 66.1%. Conclusion. The results of our study showed that the presence of the increased vaspin, CRP and higher HOMA-IR levels in women with PCOS and PCO could contribute to increased diabetogenic and atherogenic risk in these patients.
Factors Associated With Health-Related Quality of Life in Patients With Open Fractures

Objectives: To analyze FLOW data to identify baseline patient, injury, fracture, and treatment factors associated with lower health-related quality of life (HRQoL) at 12-month postfracture. Design: Prognostic study using data from a prospective randomized controlled trial. Setting: Thirty-one clinical centers in the United States, Canada, Australia, and India. Patients/Participants: One thousand four hundred twenty-seven patients with open fracture from the FLOW trial with complete 12-month Short Form-12 (SF-12) follow-up assessment and no missing data for selected baseline factors. Intervention: Not applicable. Main Outcome Measurement: Physical Component Score (PCS) and the Mental Component Score (MCS) of the SF-12 at 12-month postfracture. Results: One thousand four hundred twenty-seven patients were included in the SF-12 PCS and MCS linear regression models. Smoking, lower preinjury SF-12 PCS and MCS, and work-related injuries were significantly associated with lower SF-12 PCS and MCS at 12-month postfracture. A lower extremity fracture and a wound that was not closed at initial irrigation and debridement were significantly associated with lower 12-month SF-12 PCS but not MCS. Only the adjusted mean difference for lower extremity fractures approached the minimally important difference for the SF-12 PCS. Conclusions: We identified a number of statistically significant baseline factors associated with lower HRQoL; however, only the presence of a lower extremity fracture approached clinical significance. More research is needed to quantify the impact of these factors on patients and to determine whether changes to modifiable factors at baseline will lead to clinically significant improvements in HRQoL after open fractures. Level of Evidence: Prognostic Level II. See Instructions for Authors for a complete description of levels of evidence.
Soybean Nitrogen Contribution to Corn and Sorghum in Western Corn Belt Rotations

Increased N availability is often associated with the beneficial effects of rotating grain and legume crops. Our objective was to utilize yield response data from two long-term studies to determine the amount of N supplied by soybean [Glycine max (L.) Merr. ] for subsequent nonlegume crops in 2-yr rotations. The experiments were located in eastern Nebraska (Mead) (rainfed) and central Nebraska (Shelton) (irrigated). Continuous corn (Zea mays L.) and soybean-corn cropping systems were present in both experiments while continuous sorghum [Sorghum bicolor (L.) Moench] and soybean-sorghum cropping systems were present at Mead only. Three N fertilizer rates were used for the study at Mead and five at Shelton. Nitrogen fertilizer replacement values were estimated using graphical and regression techniques. Results from both techniques indicated that corn in the rainfed experiment at Mead (20 yr) and irrigated experiment at Shelton (10 yr) obtained approximately 65 kg N ha -1 yr -1 from soybean in a 2-yr rotation with soybean at both locations. Sorghum in the rainfed experiment at Mead (20 yr) obtained approximately 80 kg N ha -1 yr -1 from soybean in a soybean-sorghum rotation. Current fertilizer N applications based on fall or early-spring soil tests used extensively in this area need to be reduced by these amounts for corn and sorghum grown in 2-yr rotations with soybean when grown on medium- to fine-textured soils in the western Corn Belt to reduce excess N available for loss and to reduce unnecessary input costs.
Economic Savings Versus Health Losses: The Cost-Effectiveness of Generic Antiretroviral Therapy in the United States

BACKGROUND U.S. HIV treatment guidelines recommend branded once-daily, 1-pill efavirenz-emtricitabine-tenofovir as first-line antiretroviral therapy (ART). With the anticipated approval of generic efavirenz in the United States, a once-daily, 3-pill alternative (generic efavirenz, generic lamivudine, and tenofovir) will decrease cost but may reduce adherence and virologic suppression. OBJECTIVE To assess the clinical effect, costs, and cost-effectiveness of a 3-pill, generic-based regimen compared with a branded, coformulated regimen and to project the potential national savings in the first year of a switch to generic-based ART. DESIGN Mathematical simulation of HIV disease. SETTING United States. PATIENTS HIV-infected persons. INTERVENTION No ART (for comparison); 3-pill, generic-based ART; and branded ART. MEASUREMENTS Quality-adjusted life expectancy, costs, and incremental cost-effectiveness ratios (ICERs) in dollars per quality-adjusted life-year (QALY). RESULTS Compared with no ART, generic-based ART has an ICER of $21,100/QALY. Compared with generic-based ART, branded ART increases lifetime costs by $42,500 and per-person survival gains by 0.37 QALYs for an ICER of $114,800/QALY. Estimated first-year savings, if all eligible U.S. patients start or switch to generic-based ART, are $920 million. Most plausible assumptions about generic-based ART efficacy and costs lead to branded ART ICERs greater than $100,000/QALY. LIMITATION The efficacy and price reduction associated with generic drugs are unknown, and estimates are intended to be conservative. CONCLUSION Compared with a slightly less effective generic-based regimen, the cost-effectiveness of first-line branded ART exceeds $100,000/QALY. Generic-based ART in the United States could yield substantial budgetary savings to HIV programs. PRIMARY FUNDING SOURCE National Institute of Allergy and Infectious Diseases.
Relationship between cognition, magnetic resonance white matter hyperintensities, and cardiovascular autonomic changes in late-life depression.

OBJECTIVES To explore the relationship between specific aspects of cognition, white matter hyperintensities (WMHs), and cardiovascular autonomic parameters in late-life depression (LLD). DESIGN Cross-sectional analysis. SETTING Secondary care psychiatry. PARTICIPANTS Forty-one individuals older than 60 years, with current or previous history of major depression, and 32 age-matched comparison subjects. MEASUREMENTS Cognition was assessed by a standardized computer battery of tasks (Cognitive Drug Research) that measured processing speed, attention, episodic memory, and working memory. Cardiovascular autonomic parameters were estimated by a noninvasive device that calculated blood pressure, heart rate variability, and baroreflex sensitivity (Task Force Monitor). Magnetic resonance imaging was performed on a 3-T magnetic resonance imaging system, and WMH volume was estimated using an automated validated method. RESULTS As expected, cognitive deficits in all tested domains were present in LLD subjects compared with comparison subjects. In the LLD group, processing speed was correlated with scores on memory and working memory tasks. Attentional deficits were correlated with total and periventricular WMH volume, and episodic memory was associated with heart rate variability. There were no associations between cognitive variables and traditional vascular risk factors or between cognitive variables and any of these parameters in the comparison subjects. CONCLUSIONS This study suggests that processing speed may be an important factor underlying deficits in LLD, but it also indicates that other factors, including those related to vascular disease, are important and thus provide further support for the vascular depression hypothesis.
eural Substrates of Resisting Craving During igarette Cue Exposure

esults: Activation was found in the cigarette cue resist (compared with the cigarette cue crave) condition in the left dorsal anterior ingulate cortex (ACC), posterior cingulate cortex (PCC), and precuneus. Lower magnetic resonance signal for the cigarette cue resist ondition was found in the cuneus bilaterally, left lateral occipital gyrus, and right postcentral gyrus. These relative activations and eactivations were more robust when the cigarette cue resist condition was compared with the neutral cue condition.
A Photo Post Recommendation System Based on Topic Model for Improving Facebook Fan Page Engagement

Digital advertising on social media officially surpassed traditional advertising and became the largest marketing media in many countries. However, how to maximize the value of the overall marketing budget is one of the most concerning issues of all enterprises. The content of the Facebook photo post needs to be analyzed effectively so that the social media companies and managers can concentrate on handling their fan pages. This research aimed to use text mining techniques to find the audience accurately. Therefore, we built a topic model recommendation system (TMRS) to analyze Facebook posts by sorting the target posts according to the recommended scores. The TMRS includes six stages, such as data preprocessing, Chinese word segmentation, word refinement, TF-IDF word vector conversion, creating model via Latent Semantic Indexing (LSI), or Latent Dirichlet Allocation (LDA), and calculating the recommendation score. In addition to automatically selecting posts to create advertisements, this model is more effective in using marketing budgets and getting more engagements. Based on the recommendation results, it is verified that the TMRS can increase the engagement rate compared to the traditional engagement rate recommended method (ERRM). Ultimately, advertisers can have the chance to create ads for the post with potentially high engagements under a limited budget.
Using Students' Performance to Improve Ontologies for Intelligent E-Learning System

The most important goal of Artificial Intelligence (AI) is to improve computer understanding and make it as close to human intelligence as possible. One of the most significant areas of application for artificial intelligence is within the E-learning system. Most of the E-learning systems lack AI tools and merely present the content materials without evaluating the students' prior learning. However, using ontologies together with semantics for various intelligent systems have showed promising results in various fields such as real estate (Yuan, Lee, Kim, & Kim, 2013), geospatial problem-solving environment (Jung, Te Sun, & Yuan, 2013), and collaborative learning (Isotani et al, 2013). In addition, some intelligent have already been commercialized (Fensel, Van Harmelen, Horrocks, McGuinness, & Patel-Schneider, 2001). It has been showed that when ontology-based methods used the essential building block of AI, semantics and ontology can drive the E-learning systems to the next phase (Bittencourt, Costa, Silva, & Soares, 2009; Gaeta, Loia, Orciuoli, & Ritrovato, 2015; Gaeta, Orciuoli, & Ritrovato, 2009; C.-C. Hsu & Ho, 2012; Kontopoulos, Vrakas, Kokkoras, Bassiliades, & Vlahavas, 2008; Leony, Parada Gelvez, Munoz-Merino, Pardo, & Kloos, 2013; Munoz Merino & Kloos, 2008). The intelligent learning systems are basically systems that make decisions on student learning as oppose to other e-learning systems where a teacher makes all the instructional decisions (Isotani et al., 2013). The system evaluates the student's prior learning, decides what to learn next, analyzes the achievement, determines their competency level, and then directs the student to the next learning objective. One of the advantages of intelligent learning systems is that it provides students with a learning course that is specifically tailored for their individual learning style. Adaptive learning implementations include learning environments that change according the students' individual learning needs, and consequently, increase meaningful learning and student achievement (Ozyurt, Ozyurt, & Baki, 2013). Besides assessing the student's prior knowledge, an intelligent system needs to track the student's comprehension during the learning process. This can be achieved by collecting test scores and attendance from the learning activities.Ontology houses a semantic map of pieces of information collected in order to represent knowledge. Ontology is an explicit way to conceptualize and represent knowledge (Gruber, 1993). In its simplest form, it consists of a set of concepts, a body of labels describing how the concepts are related, and a set of information about relationship features of the connected concepts. In the context of education, an ontology would cover all the concepts and relationships about the subject to be taught (Gultepe & Memis, 2014). A novel approach of using ontology in E-learning systems is to use technology to make instructional decisions on L
Beyond Indifference and Aversion: The Critical Reception and Belated Acceptance of Behavior Therapy in France

In 1960s France, behavior therapy attracted the attention of a group of isolated pioneers largely composed of psychiatrists and some experimental psychologists. At the beginning of the 1970s, after a discreet introduction, the development of this movement provoked an adverse reaction related to the French intellectual context, which was characterized by a taste for psychoanalysis. At the height of the Cold War, this new form of therapy was, moreover, seen as a typical product of American culture, and viewed as a technique for mind control that would be incompatible with French humanist values. In this respect, the French rejection of behavioral therapies can also be placed in a broader context, one of anti-Americanism and assertion of the French “cultural exception. ” Thus, until the late 1980s, the development of the French behavior therapy movement was weak compared with what happened in the United Kingdom or the United States. Conversely, psychoanalysis reigned unchallenged in the French market for psychotherapy. In the early 1990s, the arrival of cognitive–behavioral therapy made a crucial difference. Hybridized with cognitive techniques, cognitive–behavioral therapy was seen as a “synthetic product” better suited to the French culture in psychotherapy than the initial model of “pure” behavior therapy.
A note on representations and variation operators

Consideration is given to the effects of representations and operators in evolutionary algorithms. In particular, theorems are presented which establish, under some general assumptions, that no choice of cardinality of a representation offers any intrinsic advantage over another. Functionally equivalent algorithms can be constructed regardless of the chosen representation. Further, a similar effective equivalence of variation operators is shown such that no intrinsic advantage accrues to any particular one-parent operator or any particular two-parent operator.
University of Groningen Role of childhood adversity in the development of medical comorbidities associated with bipolar disorder

Objective: A role for childhood adversity in the development of numerous medical conditions in adults has been described in the general population, but has not been examined in patients with bipolar disorder who have multiple medical comorbidities which contribute to their premature mortality. Methods: More than 900 outpatients (average age 41) with bipolar disorder completed questionnaires that included information about the occurrence of verbal, physical, or sexual abuse in childhood and whether their parents had a mood or substance abuse disorder, or a history of suicidality. These factors were combined to form a total childhood adversity score, which was then related to one or more of 30 medical conditions patients rated as present or absent. Results: The child adversity score was significantly related to the total number of medical comorbidities a patient had (po .001), as well as to 11 specific medical conditions that could be modeled in a logistic regression (po .03). These included: asthma, arthritis, allergies, chronic fatigue syndrome, chronic menstrual irregularities, fibromyalgia, head injury (without loss of consciousness), hypertension, hypotension, irritable bowel syndrome, and migraine headaches. Limitations: The contribution of parental diagnosis to childhood adversity is highly inferential. Conclusions: These data link childhood adversity to the later occurrence of multiple medical conditions in adult outpatients with bipolar disorder. Recognition of these relationships and early treatment intervention may help avert a more severe course of not only bipolar disorder but also of its prominent medical comorbidities and their combined adverse effects on patients’health, wellbeing, and longevity. & 2012 Elsevier B.V. All rights reserved.
Inhibition of phosphoinositide 3 kinase‐Akt (protein kinase B)–nuclear factor‐κB pathway by lovastatin limits endothelial–monocyte cell interaction

Integrity of the blood–brain barrier is essential for the normal functioning of CNS. Its disruption contributes to the pathobiology of various inflammatory neurodegenerative disorders. We have shown that the HMG‐CoA reductase inhibitor (lovastatin) attenuated experimental autoimmune encephalomyelitis (EAE, an inflammatory disease of CNS) in rodents by inhibiting the infiltration of mononuclear cells into the CNS. Here, using an in vitro system, we report that lovastatin inhibits endothelial–monocyte cell interaction by down‐regulating the expression of vascular cell adhesion molecule‐1 and E‐selectin by inhibiting the phosphoinositide 3 kinase (PI3‐kinase)/protein kinase B (Akt)/nuclear factor‐kappa B (NF‐κB) pathway in endothelial cells. It inhibits tumor necrosis factor alpha (TNFα)‐induced PI3‐kinase, Akt and NF‐κB activation in these cells. Co‐transfection of constitutively active forms of PI3‐kinase and Akt reversed the lovastatin‐mediated inhibition of TNFα‐induced adhesion, as well as activation of NF‐κB, indicating the involvement of the PI3‐kinase/Akt pathway in the interaction of adhesion molecules and the process of adhesion. This study reports that lovastatin down‐regulates the pathway affecting the expression and interaction of adhesion molecules on endothelial cells, which in turn restricts the migration and infiltration of mononuclear cells thereby attenuating the pathogenesis of inflammatory diseases.
Parental Autoimmune Diseases Associated With Autism Spectrum Disorders in Offspring

Background: Autism spectrum disorders are often idiopathic. Studies have suggested associations between immune response and these disorders. We explored associations between parental autoimmune disorders and children's diagnosis of autism by linking Swedish registries. Methods: Data for each participant were linked across 3 Swedish registries. The study includes 1227 cases and 25 matched controls for each case (30,693 controls with parental linkage). Parental diagnoses comprised 19 autoimmune disorders. We estimated odds ratios (ORs) using multivariable conditional logistic regression. Results: Parental autoimmune disorder was weakly associated with autism spectrum disorders in offspring (maternal OR = 1.6 [95% confidence interval = 1.1–2.2]; paternal OR = 1.4 [1.0–2.0]). Several maternal autoimmune diseases were correlated with autism. For both parents, rheumatic fever was associated with autism spectrum disorders. Conclusions: These data support previously reported associations between parental autoimmune disorders and autism spectrum disorders. Parental autoimmune disorders may represent a critical pathway that warrants more detailed investigation.