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This paper describes a novel approach to systematically improve information interactions based solely on its wording. Following an interdisciplinary literature review, we recognized three key attributes of words that drive user engagement: (1) Novelty (2) Familiarity (3) Emotionality. Based on these attributes, we developed a model to systematically improve a given content using computational linguistics, natural language processing (NLP) and text analysis (word frequency, sentiment analysis and lexical substitution). We conducted a pilot study (n=216) in which the model was used to formalize evaluation and optimization of academic titles. A between-group design (A/B testing) was used to compare responses to the original and modified (treatment) titles. Data was collected for selection and evaluation (User Engagement Scale). The pilot results suggest that user engagement with digital information is fostered by, and perhaps dependent upon, the wording being used. They also provide empirical support that engaging content can be systematically evaluated and produced. The preliminary results show that the modified (treatment) titles had significantly higher scores for information use and user engagement (selection and evaluation). We propose that computational linguistics is a useful approach for optimizing information interactions. The empirically based insights can inform the development of digital content strategies, thereby improving the success of information interactions.elop more sophisticated interaction measures. Comment: Dvir, N., & Gafni, R. (2019). Systematic improvement of user engagement with academic titles using computational linguistics. Proceedings of the Informing Science and Information Technology Education Conference, Jerusalem, Israel, pp. 501-512 Santa Rosa, CA: Informing Science Institute. https://doi.org/10.28945/4338

Background: Smoking is now prohibited in all educational institutions and other public places in the United Arab Emirates (UAE), but shisha smoking is considered as one of the major problems among the students population. This study aimed to identify the (a) prevalence of ever shisha, current shisha and shisha dependency smokers among university students in the University of Sharjah (UOS), (b) knowledge and belief differences among ever shisha, current shisha as well as shisha dependency smoking students, (c) relationship between precipitating factors and shisha dependency and (d) precipitating factors (stimulation, handling, pleasure, tension reduction, addiction (dependency), automatism (habit) and social interaction, parents smoking behavior, knowledge and beliefs about smoking predict shisha dependency among students in UOS. Materials and Methods: In this cross sectional study, 633 students participated from UOS, UAE. Knowledge and Belief scale, Modified Reason for Smoking Scale and Fagerstrom Test for Nicotine Dependence (FTND) were used to measure knowledge, beliefs, shisha dependency and predictive factors of smoking behavior among undergraduate students in UOS. Results: Nearly103 (16.3%) of students were addictive to shisha smoking based on FTND. Students had adequate knowledge that smoking led to cardiac problems; however, their knowledge about the other consequences of smoking was inadequate and believed that smoking was not harmful. There was a significant positive relationship between addiction, pleasure, social interaction, habit, parental smoking behavior and shisha dependency behavior among current shisha dependency students. Habit, addiction, pleasure, social interaction and parental smoking were the predictors of shisha smoking dependency among this population. Step wise multiple regressions showed that social interaction was the highest significant predictor for shisha dependency behavior. Conclusions: Hence, there is a need to enhance the knowledge and modify irrational beliefs about shisha smoking as these students possess inadequate knowledge about consequences of shisha smoking.

Background In a double-blind placebo-controlled randomized trial with parallel groups, the efficacy of individually prescribed homeopathic medicines was evaluated in women with premenstrual syndrome (PMS). Methods In an outpatient department of a university clinic in Jerusalem, Israel (1996–1999), women with PMS, aged 18 to 50 years, entered a 2-month screening phase with prospective daily recording of premenstrual symptoms by the Menstrual Distress Questionnaire (MDQ). They were included after being diagnosed with PMS. A reproducible treatment protocol was used: women received a homeopathic prescription based on symptom clusters identified in a questionnaire. The symptoms were verified during a complementary, structured, interview. Only women whose symptoms matched the symptom profile of one of 14 pre-selected homeopathic medicines were included. Each participant was administered active medicine or placebo via random allocation. Primary outcome measures were differences in changes in mean daily premenstrual symptom (PM) scores by the MDQ. Analysis was by intention-to-treat. Results A total of 105 women were included: 49 were randomized to active medicine and 56 to placebo. Forty-three women in the active medicine group and 53 in the placebo group received the allocated intervention with at least one follow-up measurement and their data were analyzed. Significantly greater improvement of mean PM scores was measured in the active medicine group (0.443 [standard deviation, SD, 0.32] to 0.287 [SD, 0.20]) compared to placebo (0.426 [SD, 0.34] to 0.340 [SD, 0.39]); p = 0.043. Conclusions Individually prescribed homeopathic medicines were associated with significantly greater improvement of PM scores in women with PMS, compared to placebo. Replication, with larger sample size and other refinements, is recommended to confirm the efficacy of this treatment in other settings.

Objective Isotretinoin is among the most notorious human teratogens, documented originally as causing up to 30% of malformations. This systematic review and meta-analysis aimed to evaluate the rates of major malformation (MM) among isotretinoin-exposed pregnant women over the years through a systematic review and meta-analysis.Methods Eligible studies were searched and identified using various databases. Single-arm meta-analysis and meta-analysis of odd ratios among controlled studies were performed using Review Manager version 5.3.Results Ten eligible studies that combined 2,783 isotretinoin-exposed women were included in our study. The rate of MM weighted for the sample size was 15%. Three studies that included an unexposed comparison group were eligible for the meta-analysis. The pooled odds ratio of MM for isotretinoin-exposed women was 3.76. After 2006, the pooled odds ratio of MM for isotretinoin exposure was significantly lower at 1.04.Conclusion The current rate of MM in isotretinoin-exposed women was substantially lower after 2006.

Policy evaluation in reinforcement learning is often conducted using two-timescale stochastic approximation, which results in various gradient temporal difference methods such as GTD(0), GTD2, and TDC. Here, we provide convergence rate bounds for this suite of algorithms. Algorithms such as these have two iterates, $\theta_n$ and $w_n,$ which are updated using two distinct stepsize sequences, $\alpha_n$ and $\beta_n,$ respectively. Assuming $\alpha_n = n^{-\alpha}$ and $\beta_n = n^{-\beta}$ with $1 > \alpha > \beta > 0,$ we show that, with high probability, the two iterates converge to their respective solutions $\theta^*$ and $w^*$ at rates given by $\|\theta_n - \theta^*\| = \tilde{O}( n^{-\alpha/2})$ and $\|w_n - w^*\| = \tilde{O}(n^{-\beta/2});$ here, $\tilde{O}$ hides logarithmic terms. Via comparable lower bounds, we show that these bounds are, in fact, tight. To the best of our knowledge, ours is the first finite-time analysis which achieves these rates. While it was known that the two timescale components decouple asymptotically, our results depict this phenomenon more explicitly by showing that it in fact happens from some finite time onwards. Lastly, compared to existing works, our result applies to a broader family of stepsizes, including non-square summable ones.

A systematic approach to design robust control protocols against the influence of different types of noise is introduced. We present control schemes which protect the decay of the populations avoiding dissipation in the adiabatic and nonadiabatic regimes and minimize the effect of dephasing. The effectiveness of the protocols is demonstrated in two different systems. Firstly, we present the case of population inversion of a two-level system in the presence of either one or two simultaneous noise sources. Secondly, we present an example of the expansion of coherent and thermal states in harmonic traps, subject to noise arising from monitoring and modulation of the control, respectively. Funding by the Israeli Science Foundation, the US Army Research Office under Contract W911NF- 15-1-0250, the Basque Government (Grant No. IT986-16), MINECO/FEDER,UE (Grants No. FIS2015-70856-P and No. FIS2015-67161-P), and QUITEMAD+CM S2013-ICE2801. 14 pags., 4 figs., 4 apps. -- Open Access funded by Creative Commons Atribution Licence 3.0

As global migration increases, teachers increasingly need to cope with the difficulties of immigrant students. Using the narratives of beginning teachers, we focus on two main questions: What proce...