Miracle-dz/UniFAR-FTUs huggingface dataset:
A Systematic Review on Effect of Electronic Media on Diet, Exercise, and Sexual Activity among Adolescents

Context: Electronic media has become a part of day-to-day life for all, and particularly more so for children and adolescents. Exposure to electronic media may be beneficial as well as harmful. Aim: The aim of the study is to systematically synthesize existing published and non-published empirical evidence on the effect of exposure to electronic media on diet, exercise, and sexual activity. Methodology: Two reviewers independently searched online databases such as MEDLINE, CENTRAL, and EMBASE. We applied no language, date, or publication restrictions. Selection Criteria: We included randomized control trials that assessed the effect of exposure of electronic media on diet, exercise, and sexual activity in participants between 5 and 19 years. Study Selection, Data Extraction: Two reviewers independently screened studies identified in electronic search and independently extracted data and assessed the risk of bias of included studies. Data Analysis: We had planned to use the risk ratio or odds ratio for dichotomous data, and mean difference (MD) or standardized MD for continuous data. However, as included studied differed in types of intervention and reporting of outcomes, we did not undertake meta-analysis. Main Results: All included trials were parallel randomized controlled trials except for one that was a crossover trial. Eight studies reported the effect of electronic media on diet and exercise, two on diet, two on exercise, and one on sexual activity. Quality of evidence was rated as “very low” for all outcomes due to too little information or too few data to be able to reach to any conclusions. Conclusions: There is a little body of evidence that limits conclusions. We need to comprehend as to how to swap undesirable effects of electronic media and make it more desirable. Registration of Systematic Review: This systematic review has been registered at PROSPERO International prospective register of systematic reviews (Registration number: PROSPERO 2018 CRD42018086935) available at https://www.crd. york.ac. uk/prospero/display_record. php? RecordID=86935.
No Modification in Blood Lipoprotein Concentration but Changes in Body Composition after 4 Weeks of Low Carbohydrate Diet (LCD) Followed by 7 Days of Carbohydrate Loading in Basketball Players

Abstract Recently, low carbohydrate diets have become very popular due to their numerous health benefits. Unfortunately, little is known about their chronic effects on the blood lipid profile and other cardiovascular disease risk factors in athletic populations. We compared the results of a four week, well-planned low carbohydrate diet (LCD) followed by seven days of carbohydrate loading (Carbo-L) on fasting lipids - triacylglycerol’s (TAG), LDL-C, HDL-C, total cholesterol (TCh), glucose, insulin and HOMA-IR levels in 11 competitive basketball players. During the experiment, we also measured body mass (BM) and body composition changes: body fat (BF), % of body fat (PBF), and fat free mass (FFM). Both diet procedures significantly changed the fasting serum concentration of TAG (p < 0.05) and body fat content (kg and %) (p < 0.05), without negative changes in FFM. The Carbo-L procedure increased (p < 0.05) fasting glucose levels significantly. A LCD may be suggested for athletes who want to reduce body mass and fat content without compromising muscle mass. Several weeks on a LCD does not change the lipoprotein - LDL-C and HDL-C level significantly, while a seven-day Carb-L procedure may increase body fat content and fasting glucose concentration. Such dietary procedures are recommended for team sport athletes to reduce fat mass, lipid profile disorders and insulin resistance.
Is it oncologically and clinically safe to adopt a bladder sparing approach in complete responders following neoadjuvant chemotherapy alone without proceeding to a radical cystectomy?

Carcinoma of the bladder is the second most common urological cancer and 25% of the cases are muscle invasive in nature (1,2). In order to get better outcomes in patients with muscle invasive bladder cancer (MIBC), neoadjuvant chemotherapy (NAC) based on platinum based regimes is used.
Exercise‐Based Cardiac Rehabilitation with and Without Neuromuscular Electrical Stimulation and its Effect on Exercise Tolerance and Life Quality of Persons with Chronic Heart Failure

Abstract The study compares the effect of an exercise-based cardiac rehabilitation program with a program combining physical exercise and lower extremity neuromuscular electrical stimulation (NMES) on the recovery of patients with chronic heart failure (CHF) with NYHA II-III symptoms. Seventy two patients with stable CHF were randomly distributed to four groups that received exercise-based cardiac rehabilitation and pharmacological treatment. Groups I and II were additionally administered NMES (35 Hz and 10 Hz, respectively) and in Group III sham NMES was applied. Group IV (controls) received solely pharmacological and exercise treatment. Exercise tolerance and quality of life were assessed in patients pre-treatment and at week 3. Three weeks of rehabilitation induced significant increases (p < 0.05) in the distance covered in the 6-minute walk test, the metabolic equivalent (MET), the duration of the treadmill exercise stress test, the left ventricle ejection fraction (LVEF) and improved quality of life in all groups, but between-group differences were not significant (p > 0.05). In none of the groups were the left ventricle end-systolic and end-diastolic diameters (mm) measured at week 3 significantly different from their baseline values (p > 0.05). Exercise-based cardiac rehabilitation contributed to higher exercise tolerance, LVEF and quality of life of CHF patients (NYHA II-III), contrary to cardiac rehabilitation combined with lower extremity NMES (35 Hz and 10 Hz) that failed to induce such improvements. More research is necessary to assess the therapeutic efficacy of NMES applied to CHF patients with NYHA IV symptoms.
Predictive factors of methotrexate treatment success in ectopic pregnancy: A single-center tertiary study

OBJECTIVE: It is controversial whether medical or surgical treatment options have more successful results in ectopic pregnancy treatment. Although high pretreatment serum hCG levels have been known to be the most important predictor, the appropriate treatment modality for a specific range of hCG level remains unclear. Furthermore, the variables that make a patient a bad candidate for single-dose methotrexate treatment is unclear. The aim of this study was to identify predictive factors associated with the success of single-dose methotrexate treatment in women with ectopic pregnancy. METHODS: In this retrospective study, 101 women with tubal ectopic pregnancies who had been treated with single-dose methotrexate were selected. The gestational ages, pretreatment hCG values, ectopic mass size, and fluid presence in the abdomen were compared between the groups. RESULTS: The mean age of the patients was 30.6±5.8 (range, 19–42) years, and the gestational age at first injection was 7.0±2.13 (range, 2.3–13.6) weeks. The overall treatment success rate was 77.2% (n=79). The mean duration of hospital stay was 4.21±1.89 days in the successfully treated group and 6.92±2.13 days in the failure group (p<0.05). The rate of treatment failure in patients with abdominal fluid was 37.8%, and it was 12.7% in the non-fluid group (p=0.03). hCG values on days 1, 4, and 7 were significantly higher in the unsuccessful group (3887–2589 mIU/mL, 2814–1287 mIU/mL, and 1119–285 mIU/mL, respectively; p<0.05). The cutoff hCG value, which determined the failure of methotrexate treatment, was found to be 1362 mIU/mL. CONCLUSION: In present study, patients with hCG value <1362 mIU/mL were found to be good candidates for methotrexate treatment. Although not strictly decisional, this hCG threshold level can be used to decide on the likelihood of methotrexate success or failure. Detection of abdominal fluid on ultrasonography also can be assessed as a bad prognostic factor, but size of ectopic mass does not correlate with methotrexate treatment success.
Separation of Unbounded-Error Models in Multi-Party Communication Complexity

We construct a simple function that has small unbounded-error communication complexity in the k-party number-on-forehead (NOF) model but every probabilistic protocol that solves it with subexponential advantage over random guessing has cost essentially Ω( √ n/4k) bits. This separates these classes up to k ≤ δ logn players for any constant δ < 1/4, and gives the largest known separation by an explicit function in this regime of k. Our analysis is elementary and self-contained, inspired by the methods of Goldmann, Håstad, and Razborov (Computational Complexity, 1992). After initial publication of our work as a preprint (ECCC, 2016), Sherstov pointed out to us that an alternative proof of an Ω((n/4k)1/7) separation is implicit in his prior work (SICOMP, 2016). Furthermore, based on his prior work (SICOMP, 2013 and SICOMP, 2016), Sherstov gave an alternative proof of our constructive Ω( √ n/4k) separation and also produced a stronger non-constructive Ω(n/4k) separation. These results are explained in Sherstov’s preprint (ECCC, 2016) and in article 14/22 in Theory of Computing. A preliminary version of this paper appeared as ECCC technical report TR 16-095. ∗This work was done while the author was partially supported by a Ramanujan fellowship of the Department of Science and Technology, India. †This work was done while the author was supported by a fellowship of the Department of Atomic Energy, India. ACM Classification: F.1. 3, F.2. 3 AMS Classification: 68Q05, 68Q10, 68Q15, 68Q17
Adversarial Distillation for Efficient Recommendation with External Knowledge

Integrating external knowledge into the recommendation system has attracted increasing attention in both industry and academic communities. Recent methods mostly take the power of neural network for effective knowledge representation to improve the recommendation performance. However, the heavy deep architectures in existing models are usually incorporated in an embedded manner, which may greatly increase the model complexity and lower the runtime efficiency. To simultaneously take the power of deep learning for external knowledge modeling as well as maintaining the model efficiency at test time, we reformulate the problem of recommendation with external knowledge into a generalized distillation framework. The general idea is to free the complex deep architecture into a separate model, which is only used in the training phrase, while abandoned at test time. In particular, in the training phrase, the external knowledge is processed by a comprehensive teacher model to produce valuable information to teach a simple and efficient student model. Once the framework is learned, the teacher model is abandoned, and only the succinct yet enhanced student model is used to make fast predictions at test time. In this article, we specify the external knowledge as user review, and to leverage it in an effective manner, we further extend the traditional generalized distillation framework by designing a Selective Distillation Network (SDNet) with adversarial adaption and orthogonality constraint strategies to make it more robust to noise information. Extensive experiments verify that our model can not only improve the performance of rating prediction, but also can significantly reduce time consumption when making predictions as compared with several state-of-the-art methods.
Understanding the Adoption of SADAD E-Payments: UTAUT Combined with Religiosity as Moderator

Extant article utilizes the UTAUT Model with Islamic religiosity as a moderator to understand the adoption of SADAD payment system by Saudi banking customers. Islamic religiosity effects the behavior and choices of people. Path analysis performed on 248 respondents' data collected through questionnaires tests the conceptual hypotheses. All hypotheses except H3 was unsupported, which reveals that social influence (SI) had an insignificant relation with behavioral intention (BI). Multi-group analysis was performed on AMOS by dividing respondents into two groups with high and low Islamic religiosity values. Overall, results reveal that religiosity moderates the positive effect of BI on usage behavior (UB). The author found no effect for those with low scores on religiosity values. However, consumers with high score religiosity values have a stronger positive effect between BI and UB. Moreover, the UTAUT + IR explained 80% variance in UB. High religiosity customers find SADAD a better option.
An Empirical Validation of Function Point Structure and Applicability: A Replication Study

Background: The complexity of providing accurate software size estimation and effort prediction models is well known in the software industry. Function point analysis (FPA) is currently one of the most accepted software functional size metric in the industry, but it is hardly automatable and generally requires a lengthy and costly process. Objectives: This paper reports on a family of replications carried out on a subset of the ISBSG R12 dataset to evaluate the structure and applicability of function points. The goal of this replication was to aggregate evidence about internal issues of FPA as a metric, and to confirm previous results using a different set of data. First, FPA counting was analyzed in order to determine the extent to which the base functional components (BFC) were independent of each other and thus appropriate for an additive model of size. Second, the correlation between effort and BFCs and unadjusted function points (UFP) were assessed in order to determine whether a simplified sizing metric might be appropriate to simplify effort prediction models. Methods: A subset of 72 business application projects from 2008 to 2011 was analyzed. BFCs, UFP, and effort correlation were studied. Results: The results aggregated evidence and confirmed that some BFCs of the FPA method are correlated. There is a relationship between BFCs and effort. There are correlations between UFP and inputs, enquiries, and internal files, and between BFCs and effort. Internal files and inputs are found to be correlated always, and external interface files are found to be uncorrelated with the others. A prediction model based on transactions and internal files appear to be as good as a model based on UFP. The use of some contexts attributes may improve effort prediction models. Limitations: This is an initial experiment of a research in progress. The limited size and nature of the dataset may influence the results. Conclusions: Our results might suggest an improvement in the performance of the measurement process. Simplifying FPA measurement procedure based on counting a subset of BFCs could improve measurement process efficiency and simplify prediction models.
Requirements Engineering in Agile Projects: A Systematic Mapping based in Evidences of Industry

Interest in the adoption of Agile methodologies has grown in recent years as a strategy to minimize problems in software development. However recent studies indicate high rates of failure also in projects that use agile processes. In this context, this research conducted an exploratory study to investigate how Requirements Engineering is used in projects that adopt agile methodologies. For this, a Systematic Mapping was performed and it identified the engineering requirements techniques that are running in the industry, the problems and limitations in projects that adopt agile methodologies. The low involvement of users and the constant changes of requirements were identified as the main challenges to be overcome.
From reads to transcripts: de novo methods for the analysis of transcriptome second and third generation sequencing. (Des lectures aux transcrits: méthodes de novo pour l'analyse du séquençage des transcriptomes de deuxième et troisième génération)

The purpose of this thesis work is to allow the processing of transcriptome sequencing data, i.e. messenger RNA sequences, which reflect gene expression. More precisely, it is a question of taking advantage of the characteristics of the data produced by the new sequencing technologies, known as third generation (TGS). These technologies produce large sequences, which cover the total length of RNA molecules. This has the advantage of avoiding the sequence assembly phase, which was tricky, though necessary with the data generated by previous sequencing technologies called NGS. On the other hand, TGS data are noisy (up to 15% sequencing errors), requiring the development of new algorithms to analyze this data. The core work of this thesis consisted in the methodological development and implementation of new algorithms allowing the grouping of TGS sequences by gene, then their correction and finally the detection of the different isoforms of each gene.
Evaluation of a Novel Immunoassay for Quantification of C1q for Clinical Diagnostic Use

Objectives: C1q is a valuable biomarker of disease activity in systemic lupus erythematosus (SLE). The “gold standard” assay, rocket immunoelectrophoresis (RIE), is time-consuming, and thus a shift to soluble immune precipitation techniques such as nephelometry has occurred. However, quantification of C1q with these techniques has been questioned as a result of the antibody binding properties of C1q. In the present work, we have compared results using various techniques (RIE, nephelometry, and ELISA) and have developed and validated a new magnetic bead-based sandwich immunoassay (MBSI). Methods: C1q was quantified by nephelometry and the new sandwich immunoassay in 45 serum samples analyzed using RIE. C1q was also assessed in plasma using RIE and sandwich immunoassay in samples from SLE patients with nephritis (n = 69), SLE patients without nephritis (n = 310) as classified by BILAG score, and matched controls (n = 322). In addition, cerebrospinal fluid (CSF) samples from 31 patients, previously analyzed with ELISA, were also analyzed with the MBSI to test the behavior of this new assay in the lower detection range. Results: We found a strong correlation between the new MBSI, RIE, and ELISA, but not with nephelometry. The MBSI demonstrated lower levels of C1q in SLE patients than in matched controls (p < 0.0001), and patients with nephritis had lower levels than patients without nephritis (p < 0.01). Similarily, RIE showed significant differences between the patient groups (p < 0.0001). An association was also found between the levels of C1q and the SLE disease activity index (SLEDAI). Furthermore, there was good correlation between the values obtained by MBSI and ELISA, in both serum (r = 0.960) and CSF (r = 0.786), underscoring the ability of both techniques to measure low concentrations of C1q with high accuracy. Conclusion: The sandwich immunoassay correlated well with RIE, but soluble immune precipitation techniques, such as nephelometry, did not appear suitable alternatives, since C1q itself, and possibly anti-C1q antibodies, interfered with the measurements. The new sandwich immunoassay is therefore a good replacement for RIE in monitoring SLE disease activity.
A new opportunity for innovative inflammatory bowel disease research: the moderate-to-severe ulcerative colitis in Korea (MOSAIK) cohort study

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. 1 able economic burden for the healthcare system. The first costof-illness study for IBD in Korea reported an approximately 2-fold increase in total IBD-related direct healthcare costs over 5 years from $8.5 million in 2010 to $16.9 million in 2014. In addition to this “double burden” of the disease, UC is also associated with a significant psychosocial burden caused by debilitating symptoms that lead to poor health-related quality of life (HRQL) and loss of work productivity. Finally, patients with UC have a higher risk of developing colorectal cancers, compared with the general population. Given the chronic nature of UC, a comprehensive understanding of the natural history of UC is imperative for improving long-term care. In particular, identifying predictors of poor disease outcomes is essential for preventing disease progression and to efficiently use limited resources by optimizing personalized treatment strategies. In these regards, a prospective cohort study is an ideal research model for identifying the cause, and especially for understanding the natural history, of disease. Large-scale cohort studies in Europe and North America have demonstrated a changing landscape of UC disease course and outcomes. Many useful clinical predictors of severe disease course were also identified in these studies. Further long-term prospective cohort studies for IBD are necessary for better understanding and management of the pISSN 1598-9100 • eISSN 2288-1956 https://doi.org/10.5217/ir.2019. 00005 Intest Res 2019;17(1):1-5
The Antitumor Drug LB-100 Is a Catalytic Inhibitor of Protein Phosphatase 2A (PPP2CA) and 5 (PPP5C) Coordinating with the Active-Site Catalytic Metals in PPP5C

LB-100 is an experimental cancer therapeutic with cytotoxic activity against cancer cells in culture and antitumor activity in animals. The first phase I trial (NCT01837667) evaluating LB-100 recently concluded that safety and efficacy parameters are favorable for further clinical testing. Although LB-100 is widely reported as a specific inhibitor of serine/threonine phosphatase 2A (PP2AC/PPP2CA:PPP2CB), we could find no experimental evidence in the published literature demonstrating the specific engagement of LB-100 with PP2A in vitro, in cultured cells, or in animals. Rather, the premise for LB-100 targeting PP2AC is derived from studies that measure phosphate released from a phosphopeptide (K-R-pT-I-R-R) or inferred from the ability of LB-100 to mimic activity previously reported to result from the inhibition of PP2AC by other means. PP2AC and PPP5C share a common catalytic mechanism. Here, we demonstrate that the phosphopeptide used to ascribe LB-100 specificity for PP2A is also a substrate for PPP5C. Inhibition assays using purified enzymes demonstrate that LB-100 is a catalytic inhibitor of both PP2AC and PPP5C. The structure of PPP5C cocrystallized with LB-100 was solved to a resolution of 1. 65Å, revealing that the 7-oxabicyclo[2.2. 1]heptane-2,3-dicarbonyl moiety coordinates with the metal ions and key residues that are conserved in both PP2AC and PPP5C. Cell-based studies revealed some known actions of LB-100 are mimicked by the genetic disruption of PPP5C. These data demonstrate that LB-100 is a catalytic inhibitor of both PP2AC and PPP5C and suggest that the observed antitumor activity might be due to an additive effect achieved by suppressing both PP2A and PPP5C.
The physical properties of the volatile compounds of roasted coffee.

Les proprietes physiques sont importantes pour la comprehension de leur comportement au cours de l'obtention industrielle du cafe soluble et sont egalement primordiales pour leur evaluation sensorielle dans le cafe-boisson. L'auteur de cet article fait le point de cette connaissance parmi les sept cents composes qui ont ete identifies, mentionne les manques d'informations et de compilation generale et decrit des methodes predictives actuellement disponibles pour les proprietes physiques importantes