LLukas22/scidocs huggingface dataset:
Association between body mass index and health outcomes among adolescents: the mediating role of traditional and cyber bullying victimization

BACKGROUND
It is well-documented that obese children and adolescents tend to experience a variety of negative physical and psychological health consequences. Despite the association between obesity and physical and psychological well-being, few studies have examined the role of off-line and on-line forms of bullying victimization in this link. The main objective of the current study is to investigate the direct and mediating effects of traditional and cyber bullying victimization in explaining the relationship between the body mass index (BMI) and physical/psychological distress.


METHODS
A nationally representative sample of 10,160 school children (mean age = 12.95 ± 1.75) were collected from the 2009 Health Behavior in School-aged Children (HBSC) study. Data were collected on body mass index, physical and psychological health, bullying victimization experience, and demographic information. A seemingly unrelated regression (SUR) was employed to assess and compare the indirect effects in multiple mediation models.


RESULTS
While a significant direct association was found between BMI and both physical and psychological health, the indirect effect of BMI on physical distress was significant only via traditional bullying victimization. Both forms of bullying victimization had a mediating impact between BMI and psychological distress. However, the indirect effect on psychological distress was manifested through a negative mediating role of cyberbullying victimization. The negative relation between cyberbullying victimization and psychological distress warrants further exploration.


CONCLUSIONS
Obesity represents a serious risk to adolescent health and well-being, both physically and psychologically. If becoming a victim of traditional bullying mediates (specifically exacerbates) the level of physical and psychological distress among obese and overweight adolescents, health professionals need to focus on raising awareness of the importance of weight-based victimization for children and adolescents with obesity. School administrators and teachers could increase the efforts to identify school-age children who are stigmatized for their weight and recommend coping strategies for distressed victims of traditional and cyberbullying.
Testcases Formation Using UML Activity Diagram

Most of the software practitioners believe in Model-based test case generation. Advantages of this are the early detection of faults, reducing software development time etc. The most important part of the testing attempt is the test case generation. As a modeling language, Unified Modeling Language (UML) is generally used to describe design specification and analysis by both software practitioners. Therefore, UML becomes the sources of Test cases which are usually generated from the requirement, and UML activity diagram illustrates the sequential control flows of activities that make it possible to generate test cases for activity diagrams. This research paper focuses on implementation and comparison of two approaches to automatically generate test cases directly from UML activity diagram. The first approach is A novel Approach to Generate test Cases from UML Activity Diagrams (Debasish Kundu and Debasis Sam anta, 2009) and second is Automatic Test Case Generation From UML Activity Diagram using Activity Path (Yasir Dawood Salman Almulham, 2010). Both the approaches make use of activity graph. Finally we have the statistical graph of generated number of test cases by both approaches. In implementation we have also used the specification to draw activity diagrams.
Static repositioning in a bike-sharing system: models and solution approaches

Bike-sharing systems allow people to rent a bicycle at one of many automatic rental stations scattered around the city, use them for a short journey and return them at any station in the city. A crucial factor for the success of a bikesharing system is its ability to meet the fluctuating demand for bicycles and for vacant lockers at each station. This is achieved by means of a repositioning operation, which consists of removing bicycles from some stations and transferring them to other stations, using a dedicated fleet of trucks. Operating such a fleet in a large bike-sharing system is an intricate problem consisting of decisions regarding the routes that the vehicles should follow and the number of bicycles that should be removed or placed at each station on each visit of the vehicles. In this paper, we present our modeling approach to the problem that generalizes existing routing models in the literature. This is done by introducing a unique convex objective function as well as time-related considerations. We present two mixed integer linear program formulations, discuss the assumptions associated with each, strengthen them by several valid inequalities and dominance rules, and compare their performances through an extensive numerical study. The results indicate that one of the formulations is very effective in obtaining high quality solutions to real life instances of the problem consisting of up to 104 stations and two vehicles. Finally, we draw insights on the characteristics of good solutions. T. Raviv (&) M. Tzur I. A. Forma Industrial Engineering Department, Tel Aviv University, 69978 Tel Aviv, Israel e-mail: talraviv@eng.tau.ac.il M. Tzur e-mail: tzur@eng.tau.ac.il I. A. Forma e-mail: irisforma@eng.tau.ac.il; Irisf@afeka.ac.il I. A. Forma Afeka Tel Aviv Academic College of Engineering, Bnei Efraim 218, Tel Aviv, Israel 123 EURO J Transp Logist DOI 10.1007/s13676-012-0017-6
The Impact of Obesity on the 30-day Morbidity and Mortality After Surgery for Ovarian Cancer.

OBJECTIVES
To examine the effect of body mass index (BMI) on postoperative 30-day morbidity and mortality after surgery for ovarian cancer (OC).


METHODS
Patients with OC were identified from the American College of Surgeons National Surgical Quality Improvement Program from 2005 to 2011. Women were divided into 3 groups: nonobese (BMI <30 kg/m), obese (30 to <40 kg/m), and morbidly obese (≥40 kg/m). Multivariable logistic regression models were performed.


RESULTS
Of 2061 women included in this study, 1336 (65%) were nonobese, 560 (27%) were obese, and 165 (8%) were morbidly obese. The overall 30-day mortality and morbidity rates for the entire cohort were 2% and 31%, respectively. In multivariate analyses adjusting for confounders, both obese (odds ratio [OR], 0.9; 95% confidence interval [CI], 0.4-2.0; P = 0.87) and morbid obesity (OR, 0.8; 95% CI, 0.1-3.0; P = 0.73) were not significant predictors of increased 30-day postoperative mortality. Likewise, rates of any complication in 30 days were comparable between nonobese, obese, and morbidly obese patients (31% vs. 28% vs. 33%, respectively; P = 0.35) with no significant difference even after adjusting for other confounders (OR, 0.9; 95% CI, 0.7-1.1; P = 0.26 and OR, 1.1; 95% CI, 0.7-1.6; P = 0.70, respectively). Obese and morbidly obese patients were more likely to have diabetes, hypertension requiring medications, cardiac morbidities, higher American Society of Anesthesiologists class, and leukocytosis and less likely to have weight loss before surgery.


CONCLUSIONS
With appropriate control for confounding comorbidities, the 30-day morbidity and mortality rates for the obese and morbidly obese patients undergoing surgery for OC do not seem to differ. Therefore, reported inferior long-term survival for these patients is likely related to a different phase of their disease and treatment process and is deserving of further investigation.
Energy Efficient Battery Management

A challenging aspect of mobile communications consists in exploring ways in which the available run time of the terminals can be maximized. In this paper we investigate battery management techniques that can dramatically improve the energy efficiency of radio communication devices. We consider an array of electrochemical cells connected in parallel. Through simple scheduling algorithms the discharge from each cell is properly shaped to optimize the charge recovery mechanism, without introducing any additional delay in supplying the required power. Then, a traffic management scheme, that exploits the knowledge of the cells state of charge, is implemented to achieve a further improvement in the battery performances. In this case, the discharge demand may be delayed. Results indicate that the proposed battery management techniques improve system performance no matter which parameters values are chosen to characterize the cells behavior. I. I NTRODUCTION As the popularity of radio communications equipments increases, the reliability and energy capacity of batteries becomes a critical issue. Indeed, a greater battery capacity means a longer run time of the terminals, and therefore it is a determinating factor in the success of a product. Due to the disparity in the rate of technological advance in batteries and in portable communications equipments markets, software/hardware solutions have to be found to improve the battery performance. As shown by experimental tests [1], [2], [3] and analytical results [4], [5], a greater battery capacity can be obtained by using a pulsed current discharge instead of a constant current discharge. In fact, under a pulsed discharge profile the charge recovery mechanism inherent to many secondary storage batteries can be exploited. During the interruptions of the drained current, so calledrest time periods , the battery is able to recover charge thanks to the diffusion process[4]. Longer rest times translate into a greater capacity delivered by the battery [6]. An application of the pulsed discharge technique and its benefits can be observed in GSM and other TDMA based systems, where a high current is needed from the battery just during the packet transmission time (e.g., 557 s in GSM), otherwise a value of current about 10 times lower is drained [7]. For a summary of the behavior of real batteries, please refer to [4]. In this paper, we explore ways in which the energy efficiency of mobile wireless communications can be enhanced through the use of improved energy-efficient battery management techSupported by NSF under grant CCR 9714651. Carla F. Chiasserini is on leave at the University of California, San Diego. caacity delivered
[Sensitization to gallates: review of 46 cases].

BACKGROUND
Since 1947, the cosmetics, pharmaceutical, and food industries have used gallates as antioxidants to prevent the oxidation of unsaturated fats in their products. The aim of this study was to review the cases of sensitization to gallates diagnosed in our department between 1985 and 2006.


METHODS
All suspected cases of allergic contact dermatitis with patch tests positive for propyl gallate, octyl gallate, and/or dodecyl gallate were retrieved from the database of the allergy section of our dermatology department.


RESULTS
Forty-six patients had positive patch tests for 1 or more gallates (36 women and 10 men, with a mean age of 42.8 years). The most common presenting complaint was cheilitis (63% of the cases) followed by dermatitis of the hands (28.26%). The most common sensitizing agent was lipstick (54.3%) followed by bakery products (15.2%). The test result was considered clinically relevant in 73.9% of the cases whereas the relevance was unknown in 23.9 %.


CONCLUSIONS
In our case series, most patients sensitized to gallates attended the clinic due to cheilitis. The main allergen was propyl gallate and the most common mechanism of sensitization was use of lipstick. The most common gallate among bakers was octyl gallate. This agent was considered to be clinically relevant in all cases studied.
The NER-related gene GTF2H5 predicts survival in high-grade serous ovarian cancer patients

OBJECTIVE
We aimed to evaluate the prognostic and predictive value of the nucleotide excision repair-related gene GTF2H5, which is localized at the 6q24.2-26 deletion previously reported by our group to predict longer survival of high-grade serous ovarian cancer patients.


METHODS
In order to test if protein levels of GTF2H5 are associated with patients' outcome, we performed GTF2H5 immunohistochemical staining in 139 high-grade serous ovarian carcinomas included in tissue microarrays. Upon stratification of cases into high- and low-GTF2H5 staining categories (> and ≤ median staining, respectively) Kaplan-Meier and log-rank test were used to estimate patients' survival and assess statistical differences. We also evaluated the association of GTF2H5 with survival at the transcriptional level by using the on-line Kaplan-Meier plotter tool, which includes gene expression and survival data of 855 high-grade serous ovarian cancer patients from 13 different datasets. Finally, we determined whether stable short hairpin RNA-mediated GTF2H5 downregulation modulates cisplatin sensitivity in the SKOV3 and COV504 cell lines by using cytotoxicity assays.


RESULTS
Low expression of GTF2H5 was associated with longer 5-year survival of patients at the protein (hazard ratio [HR], 0.52; 95% CI, 0.29 to 0.93; p=0.024) and transcriptional level (HR, 0.80; 95% CI, 0.65 to 0.97; p=0.023) in high-grade serous ovarian cancer patients. We confirmed the association with 5-year overall survival (HR, 0.55; 95% CI, 0.38 to 0.78; p=0.0007) and also found an association with progression-free survival (HR, 0.72; 95% CI, 0.54 to 0.96; p=0.026) in a homogenous group of 388 high-stage (stages III-IV using the International Federation of Gynecology and Obstetrics staging system), optimally debulked high-grade serous ovarian cancer patients. GTF2H5-silencing induced a decrease of the half maximal inhibitory concentration upon cisplatin treatment in GTF2H5-silenced ovarian cancer cells.


CONCLUSION
Low levels of GTF2H5 are associated with enhanced prognosis in high-grade serous ovarian cancer patients and may contribute to cisplatin sensitization.
An informed shared decision making programme on the prevention of myocardial infarction for patients with type 2 diabetes in primary care: protocol of a cluster randomised, controlled trial

BACKGROUND
International and national societies claim a patient centred approach including shared decision making (SDM) in diabetes care. In a previous project, a SDM programme on the prevention of myocardial infarction has been developed. It is aimed at supporting patients with type 2 diabetes to make informed choices on preventive options, to share the decision making process with the health care team, and to improve adherence to the chosen treatment. In this study, the programme will be implemented and evaluated in primary care practices.


METHODS/DESIGN
A cluster randomised, controlled trial will be conducted to compare the SDM programme with standard care enrolling patients with type 2 diabetes (N = 306) from primary care practices (N = 24). The intervention programme comprises a six hours provider training, a patient decision aid including evidence-based information, a 90 minutes structured teaching session provided by medical assistants, a sheet to document the patients' individual treatment goals, and a structured consultation with the general practitioner for sharing information, setting treatment goals, and for adapting treatment regimens if necessary. Patients in the control group receive a brief extract of recommendations of the German National Disease Management Guideline on the treatment of patients with type 2 diabetes. Primary outcome measure is adherence to blood pressure treatment and statin treatment at 6 months follow-up. Secondary outcome measures comprise informed choice and the achievement of patients' treatment goals. Analyses will be carried out on intention-to-treat basis. Concurrent qualitative methods will be used to explore the implementation processes.


DISCUSSION
At the end of this study, information on the efficacy of the SDM programme in the primary care context will be available. In addition, processes that might interfere with or that might promote a successful implementation will be identified.


TRIAL REGISTRATION
ISRCTN77300204 .
A Systematic Literature Review of Requirements Negotiation Methods from 2010 till 2015

Requirements engineering is a fundamental part of the software engineering process. When the stakeholders of the software project disagree on the requirements, requirements negotiation methods can be used to reach that agreement. This avoids rework and extra costs. A number of new requirements negotiation methods are created by researchers over the last years. This paper provides a review on which negotiation method can be used under which circumstances. Such a review is relevant for both practitioners and researchers. Practitioners could use the results to make decisions on which method might be the best choice for their project contexts. To researchers, our study would help them see trends in the requirements negotiation field. Moreover, researchers are now informed about those requirements negotiation sub-areas which have been actively researched and the sub-areas where much evaluation and empirical work is needed for our knowledge to become complete. Riaz et al. did such a review on requirements negotiation methods till the year 2010. Therefore we compared the results of Riaz et al. with the new findings. This paper carried out a systematic literature review on requirements negotiation methods which are published between 2010 and 2015 and compared the results of Riaz et al. with the new findings. In total, we found 12 new requirements negotiation methods. For each of those 12 methods, we identified the type of requirement conflicts that the methods resolves. We found that in the last five years there is more attention given to create new requirements negotiation methods than before and the methods also cover more types of requirement conflicts now than they did in the past. We also found that requirements contradiction conflicts and quality attribute conflicts are getting more attention now than they were getting before 2010, while resource conflicts and feasibility conflicts still are getting almost no attention at all. Furthermore, we found that almost all requirements negotiation methods are suitable for resolving viewpoint conflicts. Finally, we found that Theory W (WinWin approach) is still very popular for use in the design of requirements negotiation methods. Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. 23 Twente Student Conference on IT June 22, 2015, Enschede, The Netherlands. Copyright 2015, University of Twente, Faculty of Electrical Engineering, Mathematics and Computer Science.
Fuzziness based semi-supervised learning approach for intrusion detection system

Countering cyber threats, especially attack detection, is a challenging area of research in the field of information assurance. Intruders use polymorphic mechanisms to masquerade the attack payload and evade the detection techniques. Many supervised and unsupervised learning approaches from the field of machine learning and pattern recognition have been used to increase the efficacy of intrusion detection systems (IDSs). Supervised learning approaches use only labeled samples to train a classifier, but obtaining sufficient labeled samples is cumbersome, and requires the efforts of domain experts. However, unlabeled samples can easily be obtained in many real world problems. Compared to supervised learning approaches, semi-supervised learning (SSL) addresses this issue by considering large amount of unlabeled samples together with the labeled samples to build a better classifier. This paper proposes a novel fuzziness based semi-supervised learning approach by utilizing unlabeled samples assisted with supervised learning algorithm to improve the classifier’s performance for the IDSs. A single hidden layer feed-forward neural network (SLFN) is trained to output a fuzzy membership vector, and the sample categorization (low, mid, and high fuzziness categories) on unlabeled samples is performed using the fuzzy quantity. The classifier is retrained after incorporating each category separately into the original training set. The experimental results using this technique of intrusion detection on the NSL-KDD dataset show that unlabeled samples belonging to low and high fuzziness groups make major contributions to improve the classifier’s performance compared to existing classifiers e.g., naive bayes, support vector machine, random forests, etc. © 2016 Published by Elsevier Inc.
Prone versus supine position for adjuvant breast radiotherapy: a prospective study in patients with pendulous breasts

PURPOSE
To analyze dosimetric parameters of patients receiving adjuvant breast radiotherapy (RT) in the prone versus supine position.


METHODS AND MATERIALS
Forty-one out of 55 patients with pendulous breasts and candidates for adjuvant RT were enrolled in the study after informed consent. They underwent computed tomography (CT)-simulation in both prone and supine position. Target and non target volumes were outlined on CT images. Prescribed dose was 50 Gy delivered by two tangential photon fields followed by 10 Gy electron boost. Target coverage and dose homogeneity to clinical target volume (CTV) and planning target volume (PTV) were assessed by V95, V105 and V107 and dose to lung, heart and left anterior descending coronary artery (LAD) by V5, V10, V20, and mean and maximum dose. Data were analyzed by Student's t-test.


RESULTS
CTV and PTV coverage was significantly better in supine than in prone position. Lung V5, V10, and V20 were significantly lower in prone than in supine position. Heart V5, V10, V20, and LAD mean and maximum dose, in the 17 patients with left breast tumor, were lower in prone than in supine position, but without statistical significance. Based on treatment planning data and on treatment feasibility, 29/41 patients (70.7%) were treated in prone position. Acute and late toxicities of patients treated in prone and in supine position were not statistically different.


CONCLUSION
Prone position is a favorable alternative for irradiation of mammary gland in patients with pendulous breasts and in our series was adopted in 71% of the cases.
Bootstrap tests for simple structures in nonparametric time series regression

This paper concerns statistical tests for simple structures such as parametric models, lower order models and additivity in a general nonparametric autoregression setting. We propose to use a modified L2-distance between the nonparametric estimator of regression function and its counterpart under null hypothesis as our test statistic which delimits the contribution from areas where data are sparse. The asymptotic properties of the test statistic are established, which indicates the test statistic is asymptotically equivalent to a quadratic form of innovations. A regression type resampling scheme (i.e. wild bootstrap) is adapted to estimate the distribution of this quadratic form. Further, we have shown that asymptotically this bootstrap distribution is indeed the distribution of the test statistics under null hypothesis. The proposed methodology has been illustrated by both simulation and application to German stock index data.