LLukas22/scidocs huggingface dataset:
Locations of joint physical activity in parent-child pairs based on accelerometer and GPS monitoring.

BACKGROUND
Parental factors may play an important role in influencing children's physical activity levels.


PURPOSE
This cross-sectional study sought to describe the locations of joint physical activity among parents and children.


METHODS
Parent-child pairs (N = 291) wore an Actigraph GT2M accelerometer and GlobalSat BT-335 global positioning systems (GPS) device over the same 7-day period. Children were ages 8-14 years. Joint behavior was defined by a linear separation distance of less than 50 m between parent and child. Land use classifications were assigned to GPS datapoints.


RESULTS
Joint physical activity was spread across residential locations (35 %), and commercial venues (24 %), and open spaces/parks (20 %). Obese children and parents performed less joint physical activity in open spaces/parks than under/normal weight children and parents (ps < 0.01).


CONCLUSIONS
Understanding where joint parent-child physical activity naturally occurs may inform location-based interventions to promote these behaviors.
Exploring the Factorial Structure of the Self-Concept A Sequential Approach Using CFA, MIMIC, and MACS Models, Across Gender and Two Languages

The factorial structure of a self-concept scale (Autoconcepto Forma 5) was analyzed as a function of gender and the language used for its completion: Basque and Spanish. The analyses were performed sequentially starting with confirmatory factor analysis, followed by multiplegroup, multiple-indicator analysis, and mean and covariance structure analysis. The five-dimensional structure of the scale (academic, social, emotional, family-related, and physical self-concept) was supported by the progressive factorial invariance analysis. It was concluded that there was partial measurement invariance and that differences across groups were derived from the latent mean values.
A stochastic overbooking model for outpatient clinical scheduling with no-shows

In this paper a stochastic overbooking model is formulated and an appointment scheduling policy is developed for outpatient clinics. The schedule is constructed for a single service period partitioned into time slots of equal length. A clinic scheduler assigns patients to slots through a sequential patient call-in process where the scheduler must provide each calling patient with an appointment time before the patient’s call terminates. Once an appointment is added to the schedule, it cannot be changed. Each calling patient has a no-show probability, and overbooking is used to compensate for patient no-shows. The scheduling objective captures patient waiting time, staff overtime and patient revenue. Conditions under which the objective evolution is unimodal are derived and the behavior of the scheduling policy is investigated under a variety of conditions. Practical observations on the performance of the policy are presented.
The NO Regular Defibrillation testing In Cardioverter Defibrillator Implantation (NORDIC ICD) trial: concept and design of a randomized, controlled trial of intra-operative defibrillation testing during de novo defibrillator implantation.

AIMS
Although defibrillation (DF) testing is still considered a standard procedure during implantable cardioverter-defibrillator (ICD) insertion and has been an essential element of all trials that demonstrated the survival benefit of ICD therapy, there are no large randomized clinical trials demonstrating that DF testing improves clinical outcome and if the outcome would remain the same by omitting DF testing.


METHODS AND RESULTS
Between February 2011 and July 2013, we randomly assigned 1077 patients to ICD implantation with (n = 540) or without (n = 537) DF testing. The intra-operative DF testing was standardized across all participating centres. After inducing a fast ventricular tachycardia (VT) with a heart rate ≥240 b.p.m. or ventricular fibrillation (VF) with a low-energy T-wave shock, DF was attempted with an initial 15 J shock. If the shock reversed the VT or VF, DF testing was considered successful and terminated. If unsuccessful, two effective 24 J shocks were administered. If DF was unsuccessful, the system was reconfigured and another DF testing was performed. An ICD shock energy of 40 J had to be programmed in all patients for treatment of spontaneous VT/VF episodes. The primary endpoint was the average efficacy of the first ICD shock for all true VT/VF episodes in each patient during follow-up. The secondary endpoints included the frequency of system revisions, total fluoroscopy, implantation time, procedural serious adverse events, and all-cause, cardiac, and arrhythmic mortality during follow-up. Home Monitoring was used in all patients to continuously monitor the system integrity, device programming and performance.


CONCLUSION
The NO Regular Defibrillation testing In Cardioverter Defibrillator Implantation (NORDIC ICD) trial is one of two large prospective randomized trials assessing the effect of DF testing omission during ICD implantation.


CLINICALTRIALSGOV IDENTIFIER
NCT01282918.
Ability of Experience Design Elements to Elicit Emotions and Loyalty Behaviors

Experience design, an approach to create emotional connection with guests or customers through careful planning of tangible and intangible service elements, has gained popularity in many hospitality and retail businesses. With ever-increasing competition, service providers seek to develop loyalty by aggressively designing, continuously innovating, and managing their customer experiences. This article explores the relationship between different service elements designed to create enhanced experience and customer loyalty. In addition, it looks at emotional responses as mediating factors between the physical and relational elements and loyalty behaviors. A model is proposed and tested with a VIP hospitality tent for an internationally renowned touring circus. Results of the study indicate that while a few design elements directly affect loyalty behavior, the relationship between most design elements and loyalty behavior is strongly mediated by eliciting certain types of emotional behavior. This connection has implications for the focus of service managers’ efforts in different environments. Subject Areas: Emotion and Loyalty Modeling, Experience, and Service Design.
Mechanisms of gene-environment interactions in depression: evidence that genes potentiate multiple sources of adversity.

BACKGROUND
Previous work suggests that daily life stress-sensitivity may be an intermediary phenotype associated with both genetic risk for depression and developmental stress exposures. In the current analysis we hypothesized that genetic risk for depression and three environmental exposures over the course of development [prenatal stress, childhood adversity and adult negative life events (NLEs)] combine synergistically to produce the phenotype of stress-sensitivity.


METHOD
Twin pairs (n=279) participated in a momentary assessment study using the Experience Sampling Method (ESM), collecting appraisals of stress and negative affect (NA) in the flow of daily life. Prospective data on birthweight and gestational age, questionnaire data on childhood adversity and recent NLEs, and interview data on depression were used in the analyses. Daily life stress-sensitivity was modelled as the effect of ESM daily life stress appraisals on ESM NA.


RESULTS
All three developmental stress exposures were moderated by genetic vulnerability, modelled as dizygotic (DZ) or monozygotic (MZ) co-twin depression status, in their effect on daily life stress-sensitivity. Effects were much stronger in participants with MZ co-twin depression and a little stronger in participants with DZ co-twin depression status, compared to those without co-twin depression. NLE main effects and NLE genetic moderation were reducible to birthweight and childhood adversity.


CONCLUSIONS
The findings are consistent with the hypothesis that adult daily life stress-sensitivity is the result of sensitization processes initiated by developmental stress exposures. Genes associated with depression may act by accelerating the process of stress-induced sensitization.
Exploring the Security Vulnerabilities of LoRa

Internet-of-Things (IoT) deployments increasingly incorporate long range communication technologies. To support this transition, wide area IoT deployments are employing LoRa as their communication technology of choice due to its low power consumption and long range. The security of LoRa networks and devices is currently being put to the test in the wild, and has already become a major challenge. New features and characteristics of LoRa technology also intorduce new vulnerabilities against security attacks. In this paper, we investigate potential security vulnerabilities in LoRa. In particular, we analyze the LoRa network stack and discuss the possible susceptibility of LoRa devices to different types of attacks using commercial-off-the-shelf hardware. Our analysis shows that the long range transmissions of LoRa are vulnerable to multiple security attacks.
Modes of Social Science Engagement in Community Infrastructure Design

We ask, how does the organization of a technology building project impact collaboration with social scientists? We identify four elements that have structured collaborative engagements of social scientists within information infrastructure design projects. The elements we identify are (i) the state of the project relative to its development timeline; (ii) the time of initiation with social science, (iii) the participation type for social science; and (iv) the details of the involvement. Drawing from ethnographic research and grounded theory methodology, this research is based on comparison of three information infrastructure projects. We argue that the varying configurations of these elements substantially influence the possibilities for social science contributions to each project. In planning future engagements of social science within infrastructure projects careful consideration of such elements will serve to open up engagement options beyond a frequently encountered ‘response mode.’ Our goal is to enrich and deepen awareness of modes of engagement where social research is participatory.
Triple therapy with salmeterol/fluticasone propionate 50/250 plus tiotropium bromide improve lung function versus individual treatments in moderate-to-severe Japanese COPD patients: a randomized controlled trial – Evaluation of Airway sGaw after treatment with tripLE

PURPOSE
Triple therapy using salmeterol/fluticasone propionate (FP) and tiotropium bromide is commonly used to treat chronic obstructive pulmonary disease (COPD), but sparse efficacy data exist in COPD patients with fewer symptoms and with a lower dose of inhaled corticosteroid in Japanese patients. The effects of of salmeterol/fluticasone propionate 50/250 μg (SFC250) twice daily plus tiotropium 18 μg (TIO) once daily and individual treatments on lung function were compared.


PATIENTS AND METHODS
Fifty three Japanese COPD patients participated in this randomized, double-blind, double-dummy, Williams square design crossover study. Lung function was assessed by plethysmography and spirometry.


RESULTS
The primary endpoint of postdose specific airway conductance area under the curve (AUC0-4h) on day 28 was significantly higher following SFC250 + TIO (0.854) compared with TIO (0.737, 15.8%) and SFC250 (0.663, 28.8%) alone. SFC250 + TIO significantly improved trough forced expiratory volume in 1 second from baseline versus TIO (0.161 L, P<0.001) and SFC250 (0.103 L, P=0.008). SFC250 + TIO significantly improved residual volume compared with TIO (P<0.001) and SFC250 (P=0.003) on day 28. Nonsignificant improvements were seen in trough inspiratory capacity, total lung capacity, and thoracic gas volume. There was no mean change seen in rescue medication.


CONCLUSION
Triple therapy using SFC250 + TIO was well tolerated and gave a greater improvement in bronchodilation compared with TIO and SFC250 alone in Japanese patients with COPD. There was improvement in few symptoms, but no mean change was seen in patient-reported outcomes measured by rescue medication use.
On the use of audio events for improving video scene segmentation

This work deals with the problem of automatic temporal segmentation of a video into elementary semantic units known as scenes. Its novelty lies in the use of high-level audio information in the form of audio events for the improvement of scene segmentation performance. More specifically, the proposed technique is built upon a recently proposed audio-visual scene segmentation approach that involves the construction of multiple scene transition graphs (STGs) that separately exploit information coming from different modalities. In the extension of the latter approach presented in this work, audio event detection results are introduced to the definition of an audio-based scene transition graph, while a visual-based scene transition graph is also defined independently. The results of these two types of STGs are subsequently combined. The application of the proposed technique to broadcast videos demonstrates the usefulness of audio events for scene segmentation.
Potential of chromosomal and matrix-based comparative genomic hybridization for molecular diagnostics in lymphomas

Genome research lead to one of the largest scientific achievements of the last decade. Apart from sequencing the human genome, there was also a huge increase of knowledge regarding genomic aberrations in cancer. In Non-Hodgkin’s lymphomas (NHL), some of these findings already are of clinical relevance; specific genomic aberrations are characteristic of distinct subtypes of NHL and correlate with certain morphological, immunological and clinical findings [5]. In addition, some aberrations are useful as clonal markers for the detection of (minimal) residual disease. However, due to limited availability of fresh lymphoma tumor tissues, there are only scarce data regarding the prognostic significance of specific genomic aberrations in lymphomas (see e.g. [11, 13]). In all these studies, chromosomal banding analyses were performed retrospectively in heterogeneous groups of patients. In contrast to such banding analyses, molecular cytogenetic techniques, such as comparative genomic hybridization (CGH) do not depend on the availability of fresh tumor samples. Therefore, these methods allow a retrospective genomic screening of archival tissue samples derived from homogeneous groups of patients treated within the same clinical trial. Comparative genomic hybridization within a clinical trial in aggressive lymphomas
Web services engineering: promises and challenges

Web services are emerging technologies to reuse software as services over the Internet by wrapping underlying computing models with XML. Web services are rapidly evolving and are expected to change the paradigms of both software development and use. This panel will discuss the current status and challenges of Web services technologies.
Modified constraint-induced therapy combined with mental practice: thinking through better motor outcomes.

BACKGROUND AND PURPOSE
Modified constraint-induced therapy (mCIT) is an outpatient therapy encouraging repetitive, task-specific practice with the affected arm. mCIT has shown efficacy in all stages poststroke. Given its efficacy when combined with other therapy regimens, the current study examined the efficacy of mental practice when combined with mCIT versus mCIT only using randomized, controlled methods.


METHOD
Ten patients with chronic stroke (7 males; mean age, 61.4+/-3.02 years; age range, 48 to 79 years; mean time since stroke, 28.5 months; range, 13 to 42 months) exhibiting stable, affected arm motor deficits were administered mCIT, consisting of: (1) structured therapy emphasizing affected arm use in functional activities 3 days/week for 10 weeks; and (2) less affected arm restraint 5 days/week for 5 hours. Both of these components were administered during a 10-week period. Subjects randomly assigned to the mCIT+mental practice experimental condition also received 30-minute mental practice sessions provided directly after therapy sessions. These mental practice sessions required daily cognitive rehearsal of the activities of daily living practiced during mCIT clinical sessions.


RESULTS
No pre-existing differences were found between groups on any demographic variable or movement scale. All subjects exhibited marked reductions in affected arm impairment and functional limitation. However, subjects in the mCIT+mental practice group exhibited significantly larger changes on both movement measures after intervention: Action Research Arm Test, +15.4-point change versus +8.4-point change for mCIT only subjects (P<0.001); Fugl-Meyer, +7.8-point change versus +4.1-point change for the mCIT only subjects (P=0.01). These changes were sustained 3 months after intervention.


CONCLUSIONS
mCIT remains a promising motor intervention. However, its efficacy appears to be enhanced by use of mental practice provided directly after mCIT clinical sessions.
Stress in nurses: stress-related affect and its determinants examined over the nursing day.

BACKGROUND
Nurses are a stressed group and this may affect their health and work performance. The determinants of occupational stress in nurses and other occupational groups have almost invariably been examined in between subject studies.


PURPOSE
This study aimed to determine if the main determinants of occupation stress, i.e. demand, control, effort and reward, operate within nurses.


METHODS
A real time study using personal digital-assistant-based ecological momentary assessment to measure affect and its hypothesised determinants every 90 min in 254 nurses over three nursing shifts. The measures were negative affect, positive affect, demand/effort, control and reward.


RESULTS
While the effects varied in magnitude between people, in general increased negative affect was predicted by high demand/effort, low control and low reward. Control and reward moderated the effects of demand/effort. High positive affect was predicted by high demand/effort, control and reward.


CONCLUSIONS
The same factors are associated with variations in stress-related affect within nurses as between.
Scene Graph Parsing as Dependency Parsing

In this paper, we study the problem of parsing structured knowledge graphs from textual descriptions. In particular, we consider the scene graph representation (Johnson et al., 2015) that considers objects together with their attributes and relations: this representation has been proved useful across a variety of vision and language applications. We begin by introducing an alternative but equivalent edgecentric view of scene graphs that connect to dependency parses. Together with a careful redesign of label and action space, we combine the two-stage pipeline used in prior work (generic dependency parsing followed by simple post-processing) into one, enabling end-toend training. The scene graphs generated by our learned neural dependency parser achieve an F-score similarity of 49.67% to ground truth graphs on our evaluation set, surpassing best previous approaches by 5%. We further demonstrate the effectiveness of our learned parser on image retrieval applications.1
Perinatal exposure to antiretroviral agents: risks and benefits.

In the United States, approximately 7000 infants are born to HIV-infected women each year. Before 1994, between 20% and 30% of these infants became infected with HIV and developed a chronic HIV infection with a shortened life expectancy. In 1994, results of a multicenter Pediatric AIDS Clinical
First experiments on a new online handwritten flowchart database

We propose in this paper a new online handwritten flowchart database and perform some first experiments to have a baseline benchmark on this dataset. The collected database consists of 78 flowcharts labeled at the stroke and symbol levels. In addition, an isolated database of graphical and text symbols was extracted from these collected flowcharts. Then, we tackle the problem of online handwritten flowchart recognition from two different points of view. Firstly, we consider that flowcharts are correctly segmented, and we propose different classifiers to perform two tasks, text/non-text separation and graphical symbol recognition. Tested with the extracted isolated test database, we achieve up to 99% and 96% in text/non-text separation and up to 81.3% in graphical symbols recognition. Secondly, we propose a global approach to perform flowchart segmentation and recognition. For this latter, we adopt a global learning schema and a recognition architecture that considers a simultaneous segmentation and recognition. Global architecture is trained and tested directly with flowcharts. Results show the interest of such global approach, but regarding the complexity of flowchart segmentation problem, there is still lot of space to improve the global learning and recognition methods.
Estimated electric power consumption by means of artificial neural networks and autoregressive models with exogenous input methods

The growth electric energy demand in the industrial and commercial sectors and in public and private buildings represents a problem to estimate electrical consumption in these sectors in order to avoid fines imposed by the respective companies supplying electricity. This study presents artificial neural networks (ANN) and autoregressive models with exogenous input (ARX) models to calculate and to predict the electrical consumption for public sector using heuristic procedures. This system allows estimating the electric power consumption of the next few months ahead, and therefore, a better management of electric energy. The model validation is performed by comparing the results with a nonlinear regression model, ANN and autoregressive models with exogenous input models and the real data with analysis of variance (ANOVA). The ANN models results are estimate confidence intervals of 95%. The variables used as inputs to the neural model estimated are temperature, relative humidity, power consumption and time (day and hour). The algorithm used to estimate is Levenberg-Marquardt.