Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of Balance Training on Postural Stability in Obese Postmenopausal Women

This study was conducted to determine the effect of balance training on postural stability in obese postmenopausal women. Twenty five obese postmenopausal women were participated in this study. Their ages ranged from 50 to 60 yrs old with a mean value 56.03 ±2.52 yrs. , and their body mass index (BMI) ranged from 30-34 kg/m2 with a mean value 32.80 ± 1.19 kg /m2. They all were free from diabetes, severe hypo or hypertension, visual and vestibular system affection, marked skeletal deformities and previous surgeries at their back and/or lower limbs. All participants underwent a course of balance training program using Biodex Balance System, 3 sessions/week for six weeks and stability indices were evaluated before starting and after the end of 18 th sessions of training. Results showed a statistically highly significant (P< 0.001) decrease in stability indices (overall, Anterior/Posterior and Medial/Lateral) after the end of the balance training program. So, it could be concluded that balance training is an effective, safe and easy to perform modality that can be used for improving postural balance and decrease the risk of falling in obese postmenopausal women.
Multimodal stationary states in symmetric single-well potentials driven by Cauchy noise

Stationary states for a particle moving in a single-well, steeper than parabolic, potential driven by Lévy noise can be bimodal. Here, we explore in details conditions that are required in order to induce multimodal stationary states having more than two modal values. Phenomenological arguments determining necessary conditions for emergence of stationary states of higher multimodality are provided. Basing on these arguments, appropriate symmetric single-well potentials are constructed. Finally, using numerical methods it is verified that stationary states have anticipated multimodality.
Level 1 : Areas Level 2 : I tems Dimension 1 : Content Dimension 2 : Judgment

A company CSR commitment, as stated in its Social Report is, actually, perceived by its stakeholders? And in what measure? Moreover, are stakeholders satisfied with the company CSR efforts? Indeed, business returns from Corporate Social Responsibility (CSR) practices, such as company reputation and customer loyalty, depend heavily on how stakeholders perceive the company social conduct. In this paper, we propose a methodology to assess a company CSR commitment based on Global Reporting Initiative (GRI) indicators, Content Analysis and a CSR positioning matrix. We evaluate three aspects of CSR: the company commitment disclosed through its Social Report; the company commitment perceived by its stakeholders; the CSR commitment that stakeholders require to the company. The positioning of the company under study in the CSR matrix is based on the comparison among the three commitment aspects (disclosed, perceived, required) and it allows assessment and development of CSR strategies. Keywords—Corporate Social Responsibility (CSR), CSR Positioning Matrix, Global Reporting Initiative (GRI), Stakeholder Orientation
Derived invariants of irregular varieties and Hochschild homology

We study the behavior of cohomological support loci of the canonical bundle under derived equivalence of smooth projective varieties. This is achieved by investigating the derived invariance of a generalized version of Hochschild homology. Furthermore, using techniques coming from birational geometry, we establish the derived invariance of the Albanese dimension for varieties having non-negative Kodaira dimension. We apply our machinery to study the derived invariance of the holomorphic Euler characteristic and of certain Hodge numbers for special classes of varieties. Further applications concern the behavior of particular types of fibrations under derived equivalence.
Estimating suspended sediment concentrations from turbidity measurements and the calibration problem

In situ turbidity meters are being increasingly used to generate continuous records of suspended sediment concentration in rivers. However, the usefulness of the information obtained depends heavily on the existence of a close relationship between fluctuations in suspended sediment concentration and turbidity and the calibration procedure that relates suspended sediment concentration to the turbidity meter's signal. This study assesses the relationship between suspended sediment concentration and turbidity for a small (1·19 km2) rural catchment in southern Brazil and evaluates two calibration methods by comparing the estimates of suspended sediment concentration obtained from the calibrated turbidity readings with direct measurements obtained using a USDH 48 suspended sediment sampler. With the first calibration method, the calibration relationship is derived by relating the turbidity readings to simultaneous measurements of concentration obtained from suspended sediment samples collected from the vicinity of the turbidity probe during flood events. With the second method, the calibration is based on the readings obtained from the turbidity meter when the probe immersed in samples of known concentration prepared using soils collected from the catchment. Overall, there was a close link between fluctuations in suspended sediment concentration and turbidity in the stream at the outlet of the catchment, and the estimates of sediment concentration obtained using the first calibration method corresponded closely with the conventionally measured sediment concentrations. However, use of the second calibration method introduced appreciable errors. When the estimated sediment concentrations were compared with the measured values, the mean errors were ± 122 mg l−1 and + 601 mg l−1 for the first and second calibration procedures respectively. Copyright © 2007 John Wiley & Sons, Ltd.
Beyond Model Answers: Learners' Perceptions of Self-Assessment Materials in E-Learning Applications

The importance of feedback as an aid to self-assessment is widely acknowledged. A common form of feedback that is used widely in e-learning is the use of model answers. However, model answers are deficient in many respects. In particular, the notion of a ‘model’ answer implies the existence of a single correct answer applicable across multiple contexts with no scope for permissible variation. This reductive assumption is rarely the case with complex problems that are supposed to test students’ higher-order learning. Nevertheless, the challenge remains of how to support students as they assess their own performance using model answers and other forms of non-verificational ‘feedback’. To explore this challenge, the research investigated a management development e-learning application and investigated the effectiveness of model answers that followed problem-based questions. The research was exploratory, using semi-structured interviews with 29 adult learners employed in a global organisation. Given interviewees’ generally negative perceptions of the model-answers, they were asked to describe their ideal form of self-assessment materials, and to evaluate nine alternative designs. The results suggest that, as support for higher-order learning, self-assessment materials that merely present an idealised model answer are inadequate. As alternatives, learners preferred materials that helped them understand what behaviours to avoid (and not just ‘do’), how to think through the problem (i.e. critical thinking skills), and the key issues that provide a framework for thinking. These findings have broader relevance within higher education, particularly in postgraduate programmes for business students where the importance of prior business experience is emphasised and the profile of students is similar to that of the participants in this research. DOI: 10.1080/09687760601129539
Increases of cardiometabolic risk in young adults. Impact of exercise reductions during the college years.

Aims: The transition from school to university, traineeship or job especially along with moving away from home may lead to unhealthy lifestyle changes in young adults. Thus, we determined the effect of exercise changes during the college years on the development of cardiometabolic risk. Two cohorts of students with considerably varying demands on physical fitness (sport versus dentistry students) were compared. Methodology: 53 randomly selected German male and female sport students (SPS, 20±2 yrs.) and 61 male and female dental students (DES, 21±2 yrs.) were accompanied over their ≈5 years of college. Changes of physical activity and exercise were assessed by dedicated questionnaires and interviews. Metabolic syndrome (MetS)-Z-Score based on the NCEP ATP III definition of the MetS, abdominal fat (%) as assessed by Dual Energy X-Ray Absorptiometry (DXA) and cardiorespiratory fitness (CRF) as assessed by stepwise bicycle ergometry determined the cardiometabolic risk at baseline and 5 year follow-up. Original Research Article Kemmler et al.; BJMMR, 8(6): 485-494, 2015; Article no.BJMMR. 2015.471 486 Results: 67 percent of the subjects initially included completed the follow-up-assessments. During the 5-year study period physical activity non-significantly increased in both groups (5-10%, P>.15). Indices of exercise increased significantly in the SPS group (P<.001) and decreased significantly (P<.001) in the DES group. Group differences were significant (P≤.047) for all study endpoints with more favorable changes among the SPS group for MetS-Z-Score (-0.25±0.56, P=.367 vs. DES: 1.44±0.78, P<.001), abdominal body fat (1.9±12.8%, P=.539 vs. 10.9±21.8%, P=.004) and CRF (1.6±2.9%, P=.076 vs. -3.3±4.1%, P=.004). Conclusion: Reductions of exercise volume and particularly exercise intensity caused by occupational factors during the college years may be the most prominent risk factor for cardiometabolic diseases in young adults. Compensatory exercise is thus highly relevant and may offset an otherwise unhealthy lifestyle.
Cavitation Monitoring in Hydraulic Turbines

Cavitation, evaporation and condensation of water due to pressure changes, in hydraulic turbines may occur. It typically causes noise, vibration and – finally – limits the operating range of the turbine. If cavitation is present over a long period of time or with a high intensity, the surface of turbine components can even become eroded. This usually deteriorates the efficiency and, at the end, causes downtime of the unit due to repair work.
Evaluation of Diabetic Patient Care Quality in Primary Care

RESULtS: Of the 249 patients who were included in the study, 25 (10%) were type1 and 224 (90%) were type 2 diabetic patients. The mean age was 56.14 ± 12.28 (range 14 to 86) years. In the last 6 months, 211 (84.7%) had measured HbA1c values, where the mean value was 7.3 ± 1.5 (range 4.5 to 13.6). More than half of the patients had HbA1c values higher than 7% (113, 53.5%). Proteinuria in spot urine was checked in 73.5% (183) of the patients. The microalbuminuria test was not performed in primary care.
Cylindrite : The relation between its cylindrical shape and modulated structure

Cylindrite, a lead, tin, antimony, iron sulfosalt having a distinctive cylindrical morphology and a composite structure, is characterizedby incommensurate structural modulations. It contains two types of sheets, and these have pseudohexagonal (H) and pseudotetragonal (T) structures with distinct lattice dimensions. The structure changes systematically from core to periphery of the crystals. The b and c axes of the H and T sheets are almost parallel to each other near the crystal cores. Further from the cores the angular divergence between the axes of the two types of sheets increases (i.e., the sheets are increasingly rotated relative to one another), and the wavelength of the structural modulation decreases. The crystal accommodates the dimensional misfit between the H and T sheets by a combination of this divergence, the variation of the structural moduIation, and the curving ofthe layers.
A Revisited Perspective on the Deconstructive Process in Organizations

The main purpose of this paper is to advance a revisited theoretical version on the business organizational reality. The new organizational scientists ceased to present the organizational business reality as a given one opting in favor of a constructivist perspective. Management and leadership key theorists like Michael Porter, Henry Mintzberg, Steve Jobs, Richard Bronson, Charles Handy, Peter Drucker, have gone beyond the mere representational knowledge of business environment, considering that business reality is being continually constructed and reconstructed. As pioneers in the science of strategic management and as well as innovators, they are followed by a vast array of organisations’ leaders all over the world, all of them being interested in the methods of optimizing business reality as planning, strategic methods and techniques etc. Planning, among such procedures, is meant to re-creating the business environment in the benefit of the organisation. We shall attempt not only to make an inventory of the new topic but also to rethink some of the classical concept like those of planning and strategy related to our own field of interest: the dualist perspective on the business organizational growth. Our own approach might be integrated therefore in what we are allowed to announce as being a dualist perspective. The organizational reality of business appears to be a strategized reality so that the planning act is the main dimension of the reconstructed business reality. DOI: 10.5901/mjss.2015. v6n2s2p27
A new family of maximal curves

In this article we construct for any prime power q and odd n⩾5 , a new Fq2n ‐maximal curve Xn . Like the Garcia–Güneri–Stichtenoth maximal curves, our curves generalize the Giulietti–Korchmáros maximal curve, though in a different way. We compute the full automorphism group of Xn , yielding that it has precisely q(q2−1)(qn+1) automorphisms. Further, we show that unless q=2 , the curve Xn is not a Galois subcover of the Hermitian curve. Finally, up to our knowledge, we find new values of the genus spectrum of Fq2n ‐maximal curves, by considering some Galois subcovers of Xn .
THE 2011 OUTBURST OF RECURRENT NOVA T Pyx: X-RAY OBSERVATIONS EXPOSE THE WHITE DWARF MASS AND EJECTION DYNAMICS

The recurrent nova T Pyx underwent its sixth historical outburst in 2011, and became the subject of an intensive multi-wavelength observational campaign. We analyze data from the Swift and Suzaku satellites to produce a detailed X-ray light curve augmented by epochs of spectral information. X-ray observations yield mostly non-detections in the first four months of outburst, but both a super-soft and hard X-ray component rise rapidly after Day 115. The super-soft X-ray component, attributable to the photosphere of the nuclear-burning white dwarf, is relatively cool (∼45 eV) and implies that the white dwarf in T Pyx is significantly below the Chandrasekhar mass (∼1 M☉). The late turn-on time of the super-soft component yields a large nova ejecta mass (≳ 10−5 M☉), consistent with estimates at other wavelengths. The hard X-ray component is well fit by a ∼1 keV thermal plasma, and is attributed to shocks internal to the 2011 nova ejecta. The presence of a strong oxygen line in this thermal plasma on Day 194 requires a significantly super-solar abundance of oxygen and implies that the ejecta are polluted by white dwarf material. The X-ray light curve can be explained by a dual-phase ejection, with a significant delay between the first and second ejection phases, and the second ejection finally released two months after outburst. A delayed ejection is consistent with optical and radio observations of T Pyx, but the physical mechanism producing such a delay remains a mystery.
COCOONO : Crowdsourced Image dataset to test and train computer vision Frameworks more effectively

Despite the current advancements in image captioning libraries, the existent solutions still fail in simple identification tasks. The captioning libraries normally generate captions based on the scene as a whole, not identifying individual objects, failing on scenes slight differents from the scenes used for training. This report documents and evaluates the creation of an alternative dataset to address this problem. Our dataset was generated based on the COCO dataset from Microsoft. We generated alternative versions of many images from COCO by removing specific objects from the images using a graph-based inpainting algorithm from Kaiming and Jian’s [1]. However, automatic inpainting, as any automatic edition methods, could generate erratic results. To address this issue an web interface for crowdsourced image evaluation and edition was developed to guarantee the final dataset quality. With a preliminary data acquisition, we showed that our dataset could be useful in the evaluation of computer vision frameworks. We also analyzed the impact that the size of the removed area have in the quality of the final inpaint and how it affects image captioning frameworks. Our results show that automatically generated datasets could be a feasible solution for computer vision frameworks validation.
RHODIOLA ROSEA L . – A VALUABLE PLANT FOR TRADITIONAL AND FOR THE MODERN MEDICINE

Rhodiola rosea (golden root, rose root, arctic root) is a species whose medicinal properties are well known since antiquity; the plant is used for centuries in the folk medicine of Scandinavia and Russia. Its medicinal properties lead to its thorough phytochemical and pharmacological analysis and its capitalization for therapeutical purposes. The massive exploitation of this species lead to its extinction in several areas of its native habitats, that imposed special environmental protection regulations or its entrance on the red list of the endangered species. In this view, and to supply the necessary amount of R. rosea raw material for the pharmaceutical use, this species was grown in conventional cultures; several in vitro breeding methods were elaborated, as well. This paper is a synthesis of all the data on Rhodiola rosea gathered in many years, comprising the botanical description, its spread, the chemical composition, its utility in traditional and in modern medicine, its reaction in conventional and in vitro cultures etc.
Hyperspectral reflectance signatures and point clouds for precision agriculture by light weight UAV imaging system

The objective of this investigation was to study the use of a new type of a low-weight unmanned aerial vehicle (UAV) imaging system in the precision agriculture. The system consists of a novel Fabry-Perot interferometer based hyperspectral camera and a high-resolution small-format consumer camera. The sensors provide stereoscopic imagery in a 2D frame-format and they both weigh less than 500 g. A processing chain was developed for the production of high density point clouds and hyperspectral reflectance image mosaics (reflectance signatures), which are used as inputs in the agricultural application. We demonstrate the use of this new technology in the biomass estimation process, which is based on support vector regression machine. It was concluded that the central factors influencing on the accuracy of the estimation process were the quality of the image data, the quality of the image processing and digital surface model generation, and the performance of the regressor. In the wider perspective, our investigation showed that very low-weight, low-cost, hyperspectral, stereoscopic and spectrodirectional 3D UAV-remote sensing is now possible. This cutting edge technology is powerful and cost efficient in time-critical, repetitive and locally operated remote sensing applications.
Nanoseconds for the Masses

High precision voltage measurement has become a hidden part of our daily lives. Our phones, our wearables, and even our household appliances now include precision measurement capability that rivals what was once only available in laboratory grade test equipment. Converters with 6 digits of resolution and nanovolt noise floors cost less than a dollar and fit into our watches. In contrast, measurement of fast phenomena remains out of our daily reach, as it requires equipment too expensive and too unwieldy to be found outside the hands of specialists. Commoditization of sub-nanosecond measurement would improve our ability to process the information from spectral sensors, which in turn would impact portable medical diagnostics, environmental monitoring, and the healthy maintenance of the infrastructure we rely on. Here a novel measurement architecture is presented that enables cost effective measurement of these sub-nanosecond phenomena, and is easily integrated into existing digital processes. It is built on the same founding premises that the sigma delta architecture uses to dominate low cost precision measurement: 1) Precise measurement with imprecise components 2) Digital logic replacements for analog components 3) Trade time for accuracy A prototype unit constructed from existing digital communication components is shown to achieve 11 equivalent bits of resolution at 3GHz of analog bandwidth, with repeatability better than 1 millivolt and 3 picoseconds. Timing uncertainty is shown to be better than 1 picosecond. Several use cases are presented: Differential dielectric spectroscopy, LIDAR, and USB 3 SuperSpeed channel sounding. Thesis Supervisor: Neil Gershenfeld Title: Professor of Media Arts and Sciences
The sialyl-glycolipid SSEA 4 marks a subpopulation of chemotherapy resistant breast cancer cells with mesenchymal features

s of the Breast Cancer Immunotherapy Symposium (BRECIS): Sidra Symposia Series Doha, Qatar. 13-14 April 2015 Published: 14 August 2015 These abstracts are available online at http://www.immunotherapyofcancer. org/supplements/3/S1
Public regulatory intervention in consumer-friendly firms

We study a duopoly with differentiated and substitutable goods composed of one consumer-friendly firm and one pure-profit maximizing firm. In such a duopoly, a regulatory authority intervenes to control the degree of altruism of the consumer-friendly firm. We conclude that under quantity competition, if firms sell goods that are too homogeneous the policymaker should impose a ceiling on the level of benevolence of the consumer-friendly firm. However, under price competition, the policymaker never imposes a ceiling on the level of kindness of the consumer-friendly firm. Our results also show that, whatever the degree of product differentiation, the social welfare under price competition is always higher than the social welfare under quantity competition, which restores the arguments pointed out by the traditional literature and constitutes a sharp contrast with Nakamura (2013).
Current Practice Influence of Age on Guideline-Concordant Cancer Care for Elderly Patients in the United States

Influence of Age on Guideline-Concordant Cancer Care for Elderly Patients in the United States Penny Fang, MD,* Weiguo He, PhD,y Daniel R. Gomez, MD,* Karen E. Hoffman, MD, MPH,* Benjamin D. Smith, MD,*,y Sharon H. Giordano, MD, MPH,y Reshma Jagsi, MD, DPhil,z and Grace L. Smith, MD, PhD, MPH*,y Departments of *Radiation Oncology and yHealth Services Research, University of Texas MD Anderson Cancer Center, Houston, Texas; and zDepartment of Radiation Oncology, University of Michigan, Ann Arbor, Michigan