Miracle-dz/UniFAR-FTUs huggingface dataset:
Mothers after Gestational Diabetes in Australia (MAGDA): A Randomised Controlled Trial of a Postnatal Diabetes Prevention Program

Background Gestational diabetes mellitus (GDM) is an increasingly prevalent risk factor for type 2 diabetes. We evaluated the effectiveness of a group-based lifestyle modification program in mothers with prior GDM within their first postnatal year. Methods and Findings In this study, 573 women were randomised to either the intervention (n = 284) or usual care (n = 289). At baseline, 10% had impaired glucose tolerance and 2% impaired fasting glucose. The diabetes prevention intervention comprised one individual session, five group sessions, and two telephone sessions. Primary outcomes were changes in diabetes risk factors (weight, waist circumference, and fasting blood glucose), and secondary outcomes included achievement of lifestyle modification goals and changes in depression score and cardiovascular disease risk factors. The mean changes (intention-to-treat [ITT] analysis) over 12 mo were as follows: −0.23 kg body weight in intervention group (95% CI −0.89, 0.43) compared with +0.72 kg in usual care group (95% CI 0.09, 1.35) (change difference −0.95 kg, 95% CI −1.87, −0.04; group by treatment interaction p = 0.04); −2.24 cm waist measurement in intervention group (95% CI −3.01, −1.42) compared with −1.74 cm in usual care group (95% CI −2.52, −0.96) (change difference −0.50 cm, 95% CI −1.63, 0.63; group by treatment interaction p = 0.389); and +0.18 mmol/l fasting blood glucose in intervention group (95% CI 0.11, 0.24) compared with +0.22 mmol/l in usual care group (95% CI 0.16, 0.29) (change difference −0.05 mmol/l, 95% CI −0.14, 0.05; group by treatment interaction p = 0.331). Only 10% of women attended all sessions, 53% attended one individual and at least one group session, and 34% attended no sessions. Loss to follow-up was 27% and 21% for the intervention and control groups, respectively, primarily due to subsequent pregnancies. Study limitations include low exposure to the full intervention and glucose metabolism profiles being near normal at baseline. Conclusions Although a 1-kg weight difference has the potential to be significant for reducing diabetes risk, the level of engagement during the first postnatal year was low. Further research is needed to improve engagement, including participant involvement in study design; it is potentially more effective to implement annual diabetes screening until women develop prediabetes before offering an intervention. Trial Registration Australian New Zealand Clinical Trials Registry ACTRN12610000338066
D‐dimer concentration increases with age reducing the clinical value of the D‐dimer assay in the elderly

Background: The D‐dimer assay is used as an exclusion test in the assessment of suspected venous thromboembolic disease; patients with a negative result have a low probability of thrombosis. We reviewed the D‐dimer results from a hospital and community laboratory using the vidas D‐dimer test to assess the influence of age on the D‐dimer assay.
Current Analysis in End Ring of Submersible Motor by Finite-Element Method

In this paper, the current in the end ring of a submersible motor is studied by finite-element method. Since the resistance and the electromagnetic force of end ring are related to its current, it is essential to study the current distributed characteristics in detail. Based on the Maxwell's equations and equivalent circuits, the final current density in the end ring is calculated. Then, the characteristics of end-ring current distribution are compared in the same cross section, as well as those of different cross sections along circumferential direction. Finally, the effects of the radical width and axial width of end ring on its current distribution are investigated.
Accuracy of Teen and Parental Reports of Obesity and Body Mass Index

Objectives. Adolescent obesity is becoming an increasing public health problem. This study determines: 1) differences in teen and parental report of obesity, 2) amount of misclassification using body mass index (BMI) from self-reported versus measured height and weight as an indicator of obesity, and 3) whether misclassification varies by gender and socioeconomic status. Design. Weighted data from 15 483 baseline (T1) youth and parental interviews from the National Longitudinal Study of Adolescent Health were used. Seventy-four percent of teens were reinterviewed 1 year later (T2). Parents reported socioeconomic status indicators and whether their teen was obese. Teens reported height, weight, and weight perception. BMI was calculated from both self-reported height and weight at T1 and T2 and from measured height and weight at T2. Those with a BMI ≥95% corrected for age and gender were considered obese. Results. At T1, nearly one half of teens (47%) reporting they were very overweight were not obese by BMI. For teens obese by BMI, 19.6% were reported to be obese by both parent and teen, 6.4% by teen only, 29.9% by parent only, and 44.2% by neither teen nor parent. For those with persistent obesity, teen and/or parental report failed to identify more than one third (34%) as obese; 23.4% were identified by both teen and parent report, 5.4% by teen report only, and 37.2% by parent only. At T2, the correlation between BMI calculated from self-reported versus measured height and weight for the overall population was very strong (r = .92). Specificity of obesity status based on self-reported BMI, compared with obesity status based on measured BMI was . 996; sensitivity, . 722; positive predictive value, . 860; and negative predictive value, . 978. Overall, 3.8% of teens were misclassified using self-report measures. Girls were no more likely than boys to be misclassified as obese using BMI from self-reported height and weight. Conclusions. Parental report is a better indicator of obesity than teen report of weight status, but parental and teen reports are both poor predictors of adolescent obesity. Using BMI based on self-reported height and weight correctly classified 96% as to obesity status. Thus, studies can use self-reported height and weight to understand teen obesity and its correlates/sequelae.
Circularly Polarized Ellipse-Loaded Circular Slot Array for Millimeter-Wave WPAN Applications

A circularly polarized slot array suitable for millimeter wave WPAN applications is presented. The array uses a new type of circularly polarized element, comprising a circular slot loaded with an elliptical patch, and is fed by a microstrip line. The array is implemented on liquid crystal polymer (LCP), which is both low-loss and low-cost. A total of 8 array elements are used in a 4 times 2 configuration to achieve a maximum gain target of greater than 14 dBic. Sequential rotation of the elements within each of the 2 times 2 sub-arrays is used to increase the axial ratio bandwidth. Other novel features of the array are the finite ground plane, and open cavity structure used to support the LCP substrate of the slot array above a reflector plate. Measured and computed results presented for the packaged array confirm its wide impedance, axial ratio, and gain bandwidths. The effect of the packaged array back-short on the measured axial ratio is also discussed.
RoboMote: Mobile autonomous hardware platform for Wireless Ad-hoc Sensor Networks

This paper presents an idea and a construction details of the tiny sensor-based robot-vehicle as a mobile hardware platform for Wireless Ad-hoc Sensor Networks (WSN). The main scope of the research was design and implementation of the mobile platform, allowing the WSN nodes to autonomously change its location in active way. The designed platform had been integrated with sensor node and provided with a mechanisms allowing for remote control node's position. However we assume the lack of such control in the future. Our goal is to construct a small unit, called RoboMote, equipped with sensors that will move around and communicate in response to environmental changes. The prototype research process considers hardware and software issues including project and implementation phase. The constructed prototype spreads possibilities for developing, implementing and benchmarking solutions dedicated for ad-hoc mobile wireless sensor networks. The article presents the results of the first stage of the research.
The benefits of combining trusted computing with virtualization techniques

Within the last few years attacks against IT systems have reached an alarming number. Since these systems are applied in more and more application fields the arising financial damage is tremendous. The Trusted Computing (TC) approach of the Trusted Computing Group (TCG) should ensure that a system is permanently in a well-defined and trustworthy state. However the TCG only defines the components necessary for a Trusted Computing Platform (TCP) which provides the functionality to measure the integrity of the system during boot process. These integrity measurements must be sustained during runtime of an operating system in order to make qualitative statements of the system state. Common operating systems are far to complex which makes a complete measurement of all security critical files quite impossible. This paper presents an approach towards a security architecture by using virtualization technologies as well as security enhancements of modern processor architectures for hardening an operating system on top of a TCP.
A Novel Algorithm for Defending Path-Based Denial of Service Attacks in Sensor Networks

Existing end-to-end security mechanisms are vulnerable to path-based denial of service attacks (PDoS). If checking integrity and authenticity of a message is done only at the final destination, the intermediate nodes are going to forward bogus packets injected by an adversary many hops before they are detected. Therefore, the adversary can easily overwhelm intermediate nodes by bogus or replayed packets. This attack exhausts the nodes along the path. In addition, other downstream nodes that depend on the exhausted nodes as intermediate nodes will be isolated, and they have to find alternative paths. Regarding broadcast traffic that originated from the base station, if packets were injected by an adversary, the whole network's nodes will be exhausted. Therefore, there is a need to enable intermediate nodes to filter out bogus packets. We adopted a link layer security scheme to enable en route intermediate nodes to filter out any bogus or replayed packet as soon as it is injected into the network. Our scheme can handle different types of traffic. Simulation results show that our algorithm outperforms the one-way hash chain (OHC) algorithm and that it is more scalable.
Affect-regulated exercise: an alternative approach for lifestyle modification in overweight/obese women with polycystic ovary syndrome

Abstract Objective: Affect-regulated exercise (“ARE”) is an alternative approach to guide exercise intensity based on feeling of pleasure. The aim of this study was to analyze if overweight/obese women with polycystic ovary syndrome (PCOS) meet the American College of Sports Medicine (ACSM) recommendation regarding to exercise intensity to improve health status during a single bout of “ARE". Methods: A sample of 14 overweight/obese women with PCOS (18–34 years) performed a single bout of “ARE” (40 min of aerobic exercise on outdoor track). The Feeling Scale (FS) was used to guide “ARE” intensity/pace maintaining an affective valence between “good” and “very good” during all time. Heart rate (HR), speed, % of HR at first and second ventilatory threshold (VT1 and VT2) and time spent at moderate (64–76% of HRmax) and vigorous (77–95% of HRmax) intensity during “ARE” were measured with a global positioning system (GPS) device. Results: Volunteers exercised at 73% (68–78%) of HRmax, 5.8 (5.2–6.2) km/h, 93.4% of HR at VT1 (89.3–98.2) and 80.5% of HR at VT2 (75.3–84.6) and spent >80% of time at moderate intensity. Conclusions: Overweight/obese women with PCOS met the ACSM recommendation regarding exercise intensity to improve health status when exercised between “good” and “very good” of FS. Thus, “ARE” may be an interesting approach to be used in clinical practice regarding to exercise prescription and/or physical activity advice.
A molecular epidemiological investigation of multistate outbreaks of Salmonella Enteritidis from clinical and environmental samples in Turkey, 2000-2010.

BACKGROUND/AIM To analyze interrelated Salmonella Enteritidis strains isolated in Turkey. Fifty-five S. Enteritidis surveillance strains were isolated from human feces and environmental samples from different regions in Turkey between 2000 and 2010. MATERIALS AND METHODS Clinical isolates were selected from different outbreaks in the Turkish National Reference Laboratory. All isolates were submitted to antimicrobial susceptibility test, plasmid profile analysis, and XbaI-digested pulsed-field gel electrophoresis. RESULTS The strains were scanned against 20 antibiotics and for 3 of them (amikacin, ciprofloxacin, gentamicin), all strains were found to be sensitive. Five isolates had no plasmid. Most of test strains carried the 57-kb plasmid in common and 15 genotypes were identified among the 55 isolates. Six genotypes were related closely, 3 genotypes were undistinguished, and 6 genotypes were unrelated. CONCLUSION To our knowledge, this is the first report on the phenotypic and molecular characterization of S. Enteritidis isolates from both environmental samples and clinical isolates in Turkey.
Levy Flight based Animal Migration Optimization algorithm

Animal Migration Optimization algorithm is stimulated by intelligent conduct of animal while migrating from one place to other place in search of food and secure habitat. This algorithm simulate the behavior of animal that how they shift from existing location to fresh location and how a number of animal depart from the group and other connect with the group. There are mainly two phases namely migration and population update. This paper presents a new strategy for population update in animal migration optimization algorithm using levy flight search strategy. The newly proposed strategy named as Levy Flight Animal Migration Optimization (LAMO) algorithm. The performance of LAMO tested over 21 bench mark functions and results compared with basic AMO algorithm so as to prove its reliability, robustness and efficiency.
An unusual case of mid-ventricular Takotsubo cardiomyopathy.

A 48-year-old housewife presented to hospital with acute central chest pain associated with dyspnoea at rest. The chest pain had awoken her from sleep 6 h previously, was non-pleuritic and radiated to her back. She had no past history of chest discomfort or angina however, she had been ‘worrying’ recently about a daughter who was ill. Of particular note was a background of anxiety and depression, for which she was prescribed venlafaxine. She was a lifelong non-smoker. On admission, she was afebrile, normotensive (132/78 mmHg) and had a regular pulse (110 b.p.m.). Clinical examination revealed no abnormality. Initial laboratory investigations included Hb 13.4 g/dl [normal range (NR) 11.5–16.5 g/dl], leucocyte count 7.9 × 109/l (NR 4.0–10.0 × 109/l), Na+ 144 mmol/l (NR 135–145 mmol/l), K+ 4.4 …
Contraversive neglect? A modulation of visuospatial neglect in association with contraversive pushing.

OBJECTIVE Contraversive pushing (CP) is a neurologic disorder characterized by a lateral postural imbalance. Pusher patients actively push toward their contralesional side due to a misperception of the body's orientation in relation to gravity. Although not every patient with CP suffers from spatial neglect (SN), both phenomena are highly correlated in right-hemispheric patients. The present study investigates whether peripersonal visuospatial functioning differs in neglect patients with versus without CP (NP+ vs. NP- patients). METHOD Eighteen right-hemispheric stroke patients with SN were included, of which 17 in a double-blind case-control study and 1 single case with posterior pushing to supplement the discourse. A computer-based visuospatial navigation task, in which lateralized deviation can freely emerge, was used to quantify visuospatial behavior. In addition, visuospatial orienting was monitored using line bisection. RESULTS Significant intergroup differences were found. The NP+ patients demonstrated a smaller ipsilesional navigational deviation and more cross-over (contralesional instead of ipsilesional deviation) in long line bisection. As such, they demonstrated a contraversive (contralesionally directed) shift in comparison with the NP- patients. CONCLUSIONS These findings highlight the similarity between 2 systems of space representation. They are consistent with a coherence between the neural processing system that mainly provides for postural control, and the one responsible for nonpredominantly postural, visuospatial behavior.
Is DARPP-32 a potential therapeutic target?

Signaling pathways play important roles in the coordination and integration of a myriad cellular functions. Because of widespread interest in the dopaminergic pathways, the protein dopamine and cyclic adenosine 3′,5′-monophosphate-regulated phosphoprotein with molecular weight of 32 kDa, known by the acronym DARPP-32, occupies a central role in the biology of dopaminoceptive neurons in the central and peripheral nervous system (PNS). Its involvement has been demonstrated in many neural phenomena, including physiologic and pathologic neuroplasticity to drug effects and cognition. However, DARPP-32 has also been identified in non-neuronal tissues and its level of expression has been associated with the malignant level of some types of cancer, via modulation of cell survival and differentiation. This review considers some of these apparently compartmentalized functions of DARPP-32 and its potential as a therapeutic target.
Direct fermentation of potato starch to ethanol by cocultures of Aspergillus niger and Saccharomyces cerevisiae

Direct fermentation of unhydrolyzed potato starch to ethanol by monocultures of an amylolytic fungus, Aspergillus niger, and cocultures of A. niger and Saccharomyces cerevisiae was investigated. Amylolytic activity, rate and amount of starch utilization, and ethanol yields increased several-fold in coculture versus the monoculture due to the synergistic metabolic interactions between the species. Optimal ethanol yields were obtained in the pH range 5 to 6 and amylolytic activity was obtained in the pH range 5 to 8. Ethanol yields were maximal when fermentations were conducted anaerobically. Increasing S. cerevisiae inoculum in the coculture from 4 to 12% gave a dramatic increase in the rate of ethanol production, and ethanol yields of greater than 96% of the theoretical maximum were obtained within 2 days of fermentation. These results indicate that simultaneous fermentation of starch to ethanol can be conducted efficiently by using cocultures of the amylolytic fungus A. niger and a nonamylolytic sugar fermenter, S. cerevisiae.
Osteogenic response of human adipose-derived stem cells to BMP-6, VEGF, and combined VEGF plus BMP-6 in vitro

Exogenous addition of three factors—mesenchymal stem cells (MSCs), vascular endothelial growth factor (VEGF), and bone morphogenetic proteins (BMPs)—has proven to be more beneficial than delivery of any single factor for fracture repair in animal models. We studied the osteogenic differentiation of human adipose-derived stem cells (hADSCs) in the presence of VEGF, BMP-6, or VEGF plus BMP-6 to better understand their enhancement of osteoblastic differentiation of MSCs. The VEGF plus BMP-6 group demonstrated an additive effect on the enhancement of mineralization and expression of ALP and Msx2 genes. Unlike VEGF or BMP-6 alone, the combination of VEGF and BMP-6 significantly enhanced the expression of COL1A1, osterix, and Dlx5 genes. The data indicate that a cross-talk between VEGF and BMP-6 signaling pathways enhances osteogenic differentiation of hADSCs.
Economic Load Dispatch problem with ramp rate limits and prohibited operating zones solve using Levy flight Moth-Flame optimizer

A novel bio-inspired optimization algorithm based on the navigation strategy of Moths in universe called the Moth-Flame optimization (MFO) Algorithm, is exercised for Economic Load Dispatch problems. The navigating mechanism of moths in nature called transverse orientation, a very effective mechanism for traveling long distances in the straight direction. In fact, artificial lights trick moths, so they follow a deadly spiral path. MFO algorithm is integrated with levy flights to achieve the competitive results in case of both discrete and continuous control parameters. Levy flights or Levy distribution is a sophisticated randomization technique has a relevant role in both exploration and exploitation. Constrained optimization is a way of optimizing an objective function in presence of constraints on some control parameters. So Levy flights or Levy distribution is a sophisticated randomization technique is integrated with MFO and exercised on highly complex constrained economic load dispatch (ELD) problem with three different standard case study of 6 and 15 generating unit system without valve point effect including ramp rate limits (RRL) and prohibited operating zones (POZ) and 13-unit system with valve point effect loading. Integration of randomization Levy flights technique provides potential that Levy flights based MFO algorithm to attain optimal solution and faster convergence over standard MFO optimization algorithms.
Kompetenzforschung in der Psychotherapie - Bericht über eine Fortbildungstagung der Schweizer Charta für Psychotherapie vom 22.6.2013

Die Frage, ob und wie psychotherapeutische Kompetenz und deren Fortschritte bei Absolventinnen einer psychotherapeutischen Weiterbildung untersucht und gemessen werden konnen, stand im Zentrum der Fortbildungstagung. An der Universitat Kassel wird ein von der Deutschen Forschungsgemeinschaft (DFG) gefordertes Forschungsprojekt zur Kompetenzentwicklung von Psychotherapeutinnen in Ausbildung durchgefuhrt. Projektleitung und Koordination liegen in den Handen der Professorinnen Heidi Moller und Svenja Taubner. Ein an diesem Forschungsprojekt beteiligter wissenschaftlicher Mitarbeiter der Uni Kassel, Thomas Munder, gab den Anwesenden einen Uberblick uber das Forschungsdesign und referierte erste Ergebnisse und deren Implikationen fur die Praxis.
Real time moving object detection for video surveillance based on improved GMM

At present automated surveillance system has become a new trend in the field of security and defence. The moving object detection is one of the fundamental steps for analysis of motion in video surveillance. It provides a way of classification of the pixels into the foreground and background. For a video processing system, the key step is to detect moving object and subtract the background. The mixture of Gaussian (MOG) models is the best suitable for systems having static and complicated background with clutters. It is efficient and robust to illumination changes and camera noise. It reduces the noise from the foreground of the image to a much lower level and causes an efficient detection of objects from a surveillance video that is helpful in many security operations and other applications such as people tracking, traffic monitoring etc. In this paper a new technique is presented to deal with the problem of slow moving objects and to provide fast object detection with robust noise removal and improved background updating. The experimental results show that the proposed method gives better results than the other traditional methods of background subtraction. The dataset that we are using here are CAVIAR an indoor sample video and one other standard outdoor video dataset.