Miracle-dz/UniFAR-FTUs huggingface dataset:
E-WOM’s Impact on App Development

ABSTRACT With the emergencies of Web 2.0, online word of mouth (e-WOM) has become one of the most useful communication channels. Organizations increasingly rely on social media to receive customers’ feedback for product development. Despite the known effect of e-WOM on customers’ decision-making, few studies have examined the influence of e-WOM on product improvement. Extending the prior e-WOM research, this paper empirically investigates how e-WOM affects mobile application (App) improvement and examines the moderating effect of developer expertise. Based on a dataset obtained from Applause.com, we find that e-WOM volume, valence, and reviewer exposure positively affect App improvement. We also find that developer expertise negatively moderates the effect of e-WOM on App improvement. The results indicate that expert developers are less likely affected by e-WOM. This study contributes by empirically investigating the role of e-WOM used to facilitate customer-to-business communication. This study also provides practical value for firms active in the App market.
Haemodynamic Response to a Standard Meal: Consideration on A Case of Significant Blood Pressure Peaks in a Diabetic Hypertensive Patient Treated with ARB and Comparison with Normal Age and Sex Matched Subjects

A standard meal is a stimulus that produces a response that consists in the redistribution of blood flow to the splanchnic district, potentially, affecting systemic blood pressure, this phenomenon was studied in animal models and in critic patient. Here we report a case of a diabetic hypertensive-in-treatment woman where two significant blood pressure peaks were recorded, during lunch and dinner, over an optimal 24/h blood pressure control. In the absence of previous normal reference values in the literature, we retrieved a series of n=10 age and sex matched subjects diagnosed normotensive on the mean of 24/h Ambulatory Blood Pressure Monitoring. We finally present our considerations on the normal response to a standard meal compared to what was found in the literature and in the present case, where an impaired control of resistance is hypothesised, and on the possible mechanisms supporting.
When Digital Trace Data Meet Traditional Communication Theory: Theoretical/Methodological Directions

This study suggests one direction of theoretical and methodological coupling of communication research with the digital trace data, utilizing its differences from the traditional social science approach (e.g., sampling vs. population, normal distribution vs. power–law distribution, generalization vs. simulation, deductive vs. inductive, and perceived vs. actual). We propose specific examples of (i) combining communication research with trace data methodologically and theoretically; (ii) collaborating with linguistic psychology complemented with the automated content analysis and natural language processing techniques; and (iii) creating new theoretical inquiries by configuring the granular level of interactivity and underlying dynamics, observing the longitudinal change of interactions, and discovering the neglected presence of outliers and the invisibles. We expect the direction suggested by this study contributes to deepening our understanding of human communication behavior.
Technology acceptance model in technology-enhanced OCLL contexts: A self-determination theory approach

One of the crucial issues for successful technology-enhanced out-of-class language learning (OCLL) is the learners’ continuance intention to use technology. Considering the strong mutual relationship between learners’ intention and motivation, the present study extended the technology acceptance model (TAM) with the self-determination theory (SDT) to investigate Japanese EFL learners’ intention to use learning technologies for OCLL. The study was conducted in a technology-enhanced OCLL environment using a web-based e-portfolio system. The hypothesised model included two principal antecedents of behavioural intention introduced by TAM – perceived usefulness and perceived ease of use – in addition to the three psychological needs for competence, autonomy, and relatedness introduced by SDT. Path analysis was conducted to find the multivariate relationships between the constructs in the model based on the collected data from 162 Japanese EFL learners. The results indicated that SDT determinants could significantly predict perceived usefulness and perceived ease of use, among which perceived competence was the most influential factor. Furthermore, perceived usefulness highly influenced the learners’ intention to continue technology-enhanced OCLL, which in turn influenced their actual usage of the system.
Relating Instructional Design Components to the Effectiveness of Internet-Based Mindfulness Interventions: A Critical Interpretive Synthesis

Background Internet-based mindfulness interventions are a promising approach to address challenges in the dissemination and implementation of mindfulness interventions, but it is unclear how the instructional design components of such interventions are associated with intervention effectiveness. Objective The objective of this study was to identify the instructional design components of the internet-based mindfulness interventions and provide a framework for the classification of those components relative to the intervention effectiveness. Methods The critical interpretive synthesis method was applied. In phase 1, a strategic literature review was conducted to generate hypotheses for the relationship between the effectiveness of internet-based mindfulness interventions and the instructional design components of those interventions. In phase 2, the literature review was extended to systematically explore and revise the hypotheses from phase 1. Results A total of 18 studies were identified in phase 1; 14 additional studies were identified in phase 2. Of the 32 internet-based mindfulness interventions, 18 were classified as more effective, 11 as less effective, and only 3 as ineffective. The effectiveness of the interventions increased with the level of support provided by the instructional design components. The main difference between effective and ineffective interventions was the presence of just-in-time information in the form of reminders. More effective interventions included more supportive information (scores: 1.91 in phases 1 and 2) than less effective interventions (scores: 1.00 in phase 1 and 1.80 in phase 2), more part-task practice (scores: 1.18 in phase 1 and 1.60 in phase 2) than less effective interventions (scores: 0.33 in phase 1 and 1.40 in phase 2), and provided more just-in-time information (scores: 1.35 in phase 1 and 1.67 in phase 2) than less effective interventions (scores: 0.83 in phase 1 and 1.60 in phase 2). The average duration of more effective, less effective, and ineffective interventions differed for the studies of phase 1, with more effective interventions taking up more time (7.45 weeks) than less effective (4.58 weeks) or ineffective interventions (3 weeks). However, this difference did not extend to the studies of phase 2, with comparable average durations of effective (5.86 weeks), less effective (5.6 weeks), and ineffective (7 weeks) interventions. Conclusions Our results suggest that to be effective, internet-based mindfulness interventions must contain 4 instructional design components: formal learning tasks, supportive information, part-task practice, and just-in-time information. The effectiveness of the interventions increases with the level of support provided by each of these instructional design components.
Unsupervised Creation of Normalisation Dictionaries for Micro-Blogs in Arabic, French and English

Text normalisation is a necessity to correct and make more sense of the micro-blogs messages, for information retrieval purposes. Unfortunately, tools and resources of text normalisation are rarely shared. In this paper, an approach is presented based on an unsupervised method for text normalisation using distributed representations of words, known also as "word embedding", applied on Arabic, French and English Languages. In addition, a tool will be supplied to create dictionaries for micro-blogs normalisation, in a form of pairs of misspelled word with its standard-form word, in the languages: Arabic, French and English. The tool will be available as open source including the resources: word embedding's models (with vocabulary size of million words for Arabic language model, million words for English language model and thousand words for French language model), and also three normalisation dictionaries of thousand pairs in Arabic language, thousand pairs in French language and thousand pairs in English language. The evaluation of the tool shows an average in N ormalisation success of % for English language, . % for Arabic Language and % for French Language. Also, the results of using an English language normalisation dictionary with a sentiment analysis tool for micro-blog's messages, show an increase in f-measure from. to .
Optimizing Quality-Aware Big Data Applications in the Cloud

The last years witnessed a steep rise in data generation worldwide and, consequently, the widespread adoption of software solutions able to support data-intensive application. Competitiveness and innovation have strongly benefited from these new platforms and methodologies, and there is a great deal of interest around the new possibilities that Big Data analytics promise to make reality. Many companies currently engage in data-intensive processes as part of their core businesses; however, fully embracing the data-driven paradigm is still cumbersome, and establishing a production-ready, fine-tuned deployment is time-consuming, expensive, and resource-intensive. This situation calls for innovative models and techniques to streamline the process of deployment configuration for Big Data applications. In particular, the focus in this paper is on the rightsizing of Cloud deployed clusters, which represent a cost-effective alternative to installation on premises. This paper proposes a novel tool, integrated in a wider DevOps-inspired approach, implementing a parallel and distributed simulation-optimization technique that efficiently and effectively explores the space of alternative Cloud configurations, seeking the minimum cost deployment that satisfies quality of service constraints. The soundness of the proposed solution has been thoroughly validated in a vast experimental campaign encompassing different applications and Big Data platforms.
The role of cytokines in the prognosis of children with dengue shock syndrome in vietnam

Dengue shock syndrome (DSS) is a severe complication of dengue hemorrhagic fever (DHF) and can lead to death, but DSS incidence and effects are difficult to predict via clinical examination. With consideration of this issue, this research determined the role of cytokines in the severity and prognosis of DHF in children. This prospective cohort research involved 234 patients who were aged 18 months to 18 years old, admitted to Tien Giang General Hospital, and diagnosed as having DHF. The cytokine levels of the patients were recorded from admission to discharge. Almost all the patients (>67%) exhibited increased interleukin 10 (IL-10), IL-6, and IL-2, whereas only 0.43% (the lowest) presented with elevated IL-12. Concentrations of IL-2, IL-4, IL-13, and tumor necrosis factor-α were highest in the patients infected with DENV-1, followed by those infected with DENV-3 and DENV-2. IL-12 concentration decreased with increasing days of fever occurrence. No correlation was found between cytokine concentrations in the first day of hospitalization and shock in the DHF patients. The concentration of cytokines during the first day of hospitalization (i.e., patients with a fever lasting less than 72 hours) cannot be used as a guide in determining DSS prognosis.
Serum Fetuin-A and Adipsin Levels in Type II Diabetes Patients

Background: Fetuin-A is a glycoprotein known as a biomarker for diabetes risk. Adipsin or complement factor D (CFD) plays a role in glucose tolerance, and metabolism. Objectives: This study aimed to investigate the concentration of fetuin-A and adipsin in patients with type 2 diabetes mellitus (T2DM) and healthy subjects. Patients and Methods: This case–control study was carried out on 43 patients with T2DM and 41 healthy subjects. Biochemical parameters were determined. Fetuin-A and adipsin levels were measured using ELISA kits. Lipid profile and biochemical factors were measured by spectrophotometric methods. Results: The results showed a trend toward lower fetuin-A and CFD concentrations between the two groups (P < 0.05). There was a significant correlation between the levels of fetuin- A and adipsin (P < 0.0001), FBS and HbA1C (P = 0.02), FBS and creatinine (P = 0.03), and BUN (P < 0.001). There was significant differences according to biochemical levels between the two groups (P < 0.001). Conclusions: The findings suggest that fetuin-A and adipsin levels were decreased in T2DM. It seems that the result of fetuin-A and adipsin levels in the diabetes depends on numerous vague factors. Nevertheless, in comparison with published data the changes of fetuin and adipsin levels in patients with T2DM indicate a complex but not complete role of fetuin-A and adipsin in the pathogenesis of T2DM.
Ensuring data freshness for periodic real-time tasks

Automotive systems are composed of embedded applications which are continuously exchanging real-time data. Exchanged data are then propagated within a list of applications involved at different rates in the definition of a function. Different rates of executions for the applications provoke over-and/or under-sampling of data and the age of the data has an obvious impact on the driving decisions. Ensuring that the appropriate data are consumed by an application motivates to maintain the freshness or the temporal validity of real-time data. In this paper we propose a method calculating the freshness of the data for real-time systems where multi-rate sampling of data is considered.
Don't Even Think About It! The Effects of Antineutralization, Informational, and Normative Communication on Information Security Compliance

Organizations use security education, training, and awareness (SETA) programs to counter internal security threats and promote compliance with information security policies. Yet, employees often use neutralization techniques to rationalize noncompliant behavior. We investigated three theory-based communication approaches that can be incorporated into SETA programs to help increase compliance behavior: (1) informational communication designed to explain why policies are important; (2) normative communication designed to explain that other employees would not violate policies; and (3) antineutralization communication designed to inhibit rationalization. We conducted a repeated measures factorial design survey using a survey panel of full-time working adults provided by Qualtrics. Participants received a SETA communication with a combination of one to three persuasion statements (informational influence, normative influence statement, and/or an antineutralization), followed by a scenario description that asked for their intentions to comply with the security policy. We found that both informational (weakly) and antineutralization communication (strongly) decreased violation intentions, but that normative communication had no effect. In scenarios where neutralizations were explicitly suggested to participants, antineutralization communication was the only approach that worked. Our findings suggest that we need more research on SETA techniques that include antineutralization communication to understand how it influences behavior beyond informational and normative communication.
Directions for research on gender imbalance in the IT profession

ABSTRACT There is a significant shortage of expert Information Technology (IT) personnel in Europe and elsewhere and a marked under-representation of women in the field. This paper identifies important gaps in research on gender imbalance in the IT profession and motivates future Information Systems research to address each of them. First among these gaps is the lack of research on the far-reaching consequences of gender imbalance in the IT profession. Second, despite a considerable body of research, there is the lack of coherent explanation for this imbalance. Third, although many intervention programmes have been implemented in this area, gender diversity in practice has not improved significantly. This research field also requires theorisation based on the cumulative research efforts in the field, comparative studies in various contexts, and longitudinal studies. We point to opportunities to investigate each of these issues and recommend directions for future research and actionable research questions.
Analisis Karakteristik dan Higiene Individu Dengan Kejadian Skabies

Scabies is a disease caused by Sarcoptes scabiei mites. Scabies can attack humans who live in groups such as barracks, army barracks, dormitories, prison houses, Islamic boarding schools and orphanages. This study was conducted to analyze the relationship between characteristics, individual hygiene, and physical environment with the incidence of scabies in LPKA I Blitar. This article is a quantitative observational study using a cross sectional approach. The research sample was chosen randomly with simple random sampling. A total of 51 children were interviewed and received the screening of scabies. The independent variables of this study are characteristic and individual hygiene, the dependent variable is the incidence of scabies. The results of the study used Chi-square test which showed that there was a relationship between individual hygiene and the incidence of scabies p = 0.001. Sub variables that have a relationship with scabies, namely the habit of using towels together has a significance of 0,000 and the habit of borrowing clothes with a significance of 0,000. Physical environment are not related to scabies. The conclusion of this study is that the hygiene of individuals has a higher risk of scabies, especially the habit of using towels together and the habit of borrowing clothes
Adversarial Examples in Machine Learning

Deep neural networks have been recently achieving high accuracy on many important tasks, most notably image classification. However, these models are not robust to slightly perturbed inputs known as adversarial examples. These can severely decrease the accuracy and thus endanger systems where such machine learning models are employed. We present a review of adversarial examples literature. Then we propose new defenses against adversarial examples: a network combining RBF units with convolution, which we evaluate on MNIST and get better accuracy than with an adversarially trained CNN, and input space discretization, which we evaluate on MNIST and ImageNet and obtain promising results. Finally, we explore a way of generating adversarial perturbation without access to the input to be perturbed.
EFFECT OF OMEGA-3 SOURCES AND VITAMIN E SUPPLEMENTATION IN THE TURKEY TOMS DIET ON SEMEN CHARACTERISTICS AND FERTILIZING ABILITY.

This study was carried out to investigate the effect of different oils (sunflower, fish and linseed oils) as sources of omega 3 and 6 with or without vitamin E (VE) supplementation, on semen quality and reproductive performance of turkey toms. Thirty six Bronze turkey toms at thirty-six weeks of age were used, birds were divided to equal homogenous three groups (n=12 toms). The 1st group was fed the basal diet containing 2% sunflower oil (SO, as control), while the 2nd and 3rd groups were fed the same diet with 2% fish oil (FO) or linseed oil (LO) instated of SO. All groups were divided into two subgroups (n=6 toms), the 1st subgroup was fed diet without vitamin E (VE) supplementation (the diet contain 50 mg as alpha-tocopheryl acetate/kg diet from premix, VE), while the 2nd subgroup was fed diet supplemented with 100 mg VE/kg diet as anti-oxidant (150 mg VE /kg diet as a total content). Results indicated that FO or LO in the diet of turkey toms at a level of 2% may affect slightly weight without any adverse effect on body weight at 48 wks of age or body weight gain (36-48 wks of age). Dietary supplementation of VE increased (P<0.05) body weight as compared to those fed diet without VE. Semen characteristics of toms were affected (P<0.05) by omega-3 sources and VE supplementation, except for ejaculate volume. Tomes fed 2% FO+150 mg VE/kg diet had higher (P<0.05) percentages of sperm motility (75.66%) and livability (82.61%), followed by those fed the same oil diet without VE (74.70 and 81.50%) and LO +150 mg VE/kg diet (74.24 and 81.38%) as compared to other treatment groups, respectively. All treatments increased (P<0.01) fertilizing ability of toms and hatchability rate of total eggs. Marked differences were noted among dietary treatments in the histological examination of testicular tissue and epididymis of toms. This study concluded that turkey tom diets containing 2% fish oil or linseed oil plus 150 mg VE/kg diet as a total content are needed to obtain the best reproductive performance, semen quality, fertility and hatchability.
Occult Hepatitis B in Patients Undergoing Chemotherapy

Introduction: The hepatitis B virus (HBV) is one health problem in Iran. Occult hepatitis B (OBI) is diagnosed by the detection of HBV DNA in the serum or liver tissue of patients for whom other serology, especially HBsAg and HBcAg, are negative. The current study aimed to determine the prevalence of OBI in patients who refer for chemotherapy. Methods: All patients referring for chemotherapy to the oncology clinic of Baqiyatallah Hospital in Tehran, Iran from 2012 to 2013 were selected as the population of this cross-sectional study. Samples of 5 mL of blood were taken from each subject and assayed for HBsAg and HBcAb. If HBV markers were negative, a qualitative HBV DNA PCR was done to detect OBI. The data was analyzed using SPSS 17 software, and the frequency test was used to determine prevalence. Results: In this study, 251 candidates for chemotherapy were recruited. Of this number, 114 (45%) patients were women. Mean patient age was 52.6 years. A total of 149 (59%) study subjects were employed, and the others were housekeepers or self-employed. About 67 (26.6%) patients had a history of one dose and 40 (15.9%) patients had a history of complete HBV vaccination. HBsAg was positive in 6 (2.4%) and HBcAb was positive in 33 (13.1%) patients; qualatative HBV DNA PCR was positive in 2 (0.8%) patients. Conclusion: This study revealed that OBI infection has a low prevalence, but patients referring for chemotherapy are at risk for its reactivation. On the other hand, isolated HBcAb is also a risk factor; therefore, in addition to HBsAg, it is recommended that HBcAb be evaluated before chemotherapy.