Miracle-dz/UniFAR-FTUs huggingface dataset:
NEUROMUSCULAR CONTROL DURING GYMNASTIC LANDINGS

The purpose of this study was to analyze muscular activity of the lower extremity during gymnastic landings from four different heights. Twelve female gymnasts at two training levels performed landings from heights of 0.5 m, 1.0 m, 1.5 m and 2.0 m. Myoelectric activity of specific muscles of the left leg, pressure distribution under the left foot and kinematics of the landings were recorded. All muscles showed pre-activation prior to touchdown. Pre-activation time and intensity escalated with increasing falling heights. Compared to the less trained subjects, the longer muscular pre-activation in highly trained athletes led to increased stiffness of the knee and ankle joint. This caused greater maximum forces under the leading foot and lower maximum forces under the rear foot of the highlevel athletes during landings from greater heights compared to the less trained gymnasts.
MiR-21, miR-34a, miR-125b, miR-181d and miR-648 levels inversely correlate with MGMT and TP53 expression in primary glioblastoma patients

Introduction TP53 and MGMT alterations play a crucial role in glioblastoma (GB) pathogenesis. TP53 and MGMT function is affected by several pathologic mechanisms, such as point mutations or promoter methylation, which are well characterized. Expression of both genes can be regulated by other mechanisms as well, e.g., microRNAs (miRNAs). Moreover, cross-talk among various pathologic processes may occur, further affecting MGMT and TP53 functionality. Material and methods In 49 GB patients, we analyzed the possible associations between TP53 and its miRNA regulators miR-125b, miR-21, and miR-34a, as well as MGMT and its miRNA regulators miR-181d and miR-648. We evaluated the possible influence of mutational and methylation status on the pre-identified associations. Results In patients with immunohistochemistry-detected TP53 overexpression, expression levels of miR-34a and TP53 were negatively correlated (r = –0.56, p = 0.0195), and in patients with TP53 mutations, expression levels of TP53 and miR-21 were negatively correlated (r = –0.67, p = 0.0330). In patients with MGMT methylation, expression levels of MGMT were negatively correlated with miR-648 and miR-125b expression levels (r = –0.61, p = 0.0269 and r = –0.34, p = 0.0727, respectively). Conclusions Our findings demonstrate that selected miRNAs are significantly correlated with MGMT and TP53 levels, but the extent of this correlation differs regarding the TP53 and MGMT mutational and promoter methylation status.
From semigroups to subelliptic estimates for quadratic operators

Using an approach based on the techniques of FBI transforms, we give a new simple proof of the global subelliptic estimates for non-selfadjoint non-elliptic quadratic differential operators, under a natural averaging condition on the Weyl symbols of the operators, established by the second author. The loss of the derivatives in the subelliptic estimates depends directly on algebraic properties of the Hamilton maps of the quadratic symbols. Using the FBI point of view, we also give accurate smoothing estimates of Gelfand-Shilov type for the associated heat semigroup in the limit of small times.
Modeling the removal of Sunfix Red S3B from aqueous solution by electrocoagulation process using artificial neural network

This study presents an application of artificial neural networks (ANNs) to predict the dye removal efficiency (color and chemical oxygen demand value) of Electrocoagulation process from Sunfix Red S3B aqueous solution. The Bayesian regulation algorithm was applied to train the networks with experimental data including five factors: pH, current density, sulphate concentration, initial dye concentration (IDC), and electrolysis time. The predicting performance of the ANN models was validated through the low root mean square error value (9.844 %), mean absolute percentage error (13.776 %) and the high determination coefficient value (0.836). Garson, Connection weight method and neural interpretation diagram were also used to study the influence of input variables on dye removal efficiency. For decolorization, the most effective inputs are determined as current density, electrolysis time and initial pH, while COD removal is found to be strongly affected by initial dye concentration and sulphate concentration. Through these steps, we demonstrated ANN’s robustness in modeling and analysis of electrocoagulation process.
Intravoxel Incoherent Motion (IVIM) analysis of breast cancer lesions

Poster: "ECR 2013 / C-2510 / Intravoxel Incoherent Motion (IVIM) analysis of breast cancer lesions" by: "F. Borlinhas1, H. A. Ferreira2; 1Lisboa/PT, 2Lisbon/PT"
Metabolic control and medication adherence in people with diabetes mellitus

DOI http://dx.doi. org/10.1590/19820194201700024 Universidade Federal do Piauí, Floriano, PI, Brazil. Universidade da Integração Internacional da Lusofonia Afro-Brasileira, Redenção, CE, Brazil. Universidade Federal do Ceará, Fortaleza, CE, Brazil. Fundação Oswaldo Cruz, Fortaleza, CE, Brazil. Conflicts of interest: there are no conflicts of interest to declare. Abstract Objective: To relate adherence to oral antidiabetics and metabolic control of people with Type 2 Diabetes mellitus. Methods: An analytical study conducted with 201 participants, of both sexes, aged over 18 years with diagnosis of type 2 diabetes mellitus, cared for in the basic health units. Sociodemographic, anthropometric and clinical variables related to medication adherence and metabolic control were analyzed. Morisky’s test was used to evaluate adherence to medication therapy. Results: Only 23.9% of the participants were considered adherents to medication treatment, showing better levels of glycated hemoglobin (p = 0.048), fasting glycemia (p <0.001), and total cholesterol (p = 0.028). Conclusion: A relationship between adherence to oral antidiabetics and some variables of metabolic control was identified, such as glycated hemoglobin, fasting glycemia and total cholesterol. Medication adherence should be increasingly encouraged among people with Diabetes mellitus.
Why Is Parental Involvement in Children’s Mathematics Learning Hard? Parental Perspectives on Their Role Supporting Children’s Learning

This article focuses on parents’ experiences and practices supporting children’s mathematics learning. We employ a conceptual framework that makes a distinction between school-centered and parent-centered approaches to parental involvement in children’s learning. We review literature showing that aspects of both school-centered and parent-centered approaches can be problematic, and explore this further in a group interview study. Group interviews were conducted with parents of children in 16 primary schools in a city in the southwest of England. Topics of discussion included parents’ level of confidence and perceived ability in mathematics, their experience of doing mathematics with their children out-of-school, and their interactions with school about mathematics. Findings revealed some specific negative effects of school-centered approaches, and suggested that school-centered approaches may in fact restrict parents’ understanding of how they can support mathematics learning in the home. However, the analysis also adds useful depth to our understanding of opportunities associated with a parent-centered approach to parental involvement in mathematics learning.
A convenient feature vector construction for vehicle color recognition

Given outdoor vehicle images, we try to find an acceptable method chain that maximizes the vehicle color recognition success. Our aim is to determine the color of the vehicle located in a colored image and to make a decision among the chosen seven color classes. At this study, performances of different feature sets obtained by various color spaces and different classification methods are taken to account in order to improve the outdoor vehicle color recognition. Also, different Region of Interest (ROI) and feature vector construction methods are developed for gain better performance. We examined two ROI (smooth hood peace and semi front vehicle), three classification methods (K-Nearest Neighbors, Artificial Neural Networks, and Support Vector Machines), and all possible combinations of sixteen color space components as different feature sets. We obtained 83.50% success in our experiments. As a result, the best performer combination of the classifier, the choice of the ROI, and the feature vector are demonstrated.
Extending an Existing VR Software Framework to support AR Applications - With an Example from Physics Classes

We present our approach to extend a Virtual Reality software framework towards the use for Augmented Reality applications. Although VR and AR applications have very similar requirements in terms of abstract components (like 6DOF input, stereoscopic output, simulation engines), the requirements in terms of hardware and software vary considerably. In this article we would like to share the experience gained from adapting our VR software framework for AR applications. We will address design issues for this task. The result is a VR/AR basic software that allows us to implement interactive applications without fixing their type (VR or AR) beforehand. Switching from VR to AR is a matter of changing the configuration file of the application. We also give an example of the use of the extended framework: Augmenting the magnetic field of bar magnets in physics classes. We describe the setup of the system and the realtime calculation of the magnetic field, using a GPU.
Educational Opportunities and the Role of Institutions

Educational opportunities determine the intergenerational mobility of human capital and are affected by institutional features of schooling systems. The aim of this paper is twofold. It intends to show how strongly student performance depends on student background at two important stages in a student's life as well as to explain cross-country differences in educational opportunities by schooling institutions. A difference-in-differences estimation approach is applied to control for country-specific effects. The results imply that educational opportunities decrease with student age in most countries. However, the attitude of parents seems to become more important while the impact of social origin decreases. A greater differentiation of the schooling system as indicated by streaming and private schools is associated with a greater effect of social background while more instruction time limits the impact of social origin on student performance. Higher school autonomy increases the impact of parental influence.
Active learning in Operations Management: interactive multimedia software for teaching JIT/Lean Production

Purpose: Information & Communication Technologies (ICT) can be a fundamental aid for the design of new teaching methods that better adapt to the framework of the European Higher Education Area. In this context, this study aims to develop and assess a complex and truly interactive ICT-based teaching tool for instruction in OM. Design/methodology/approach: A multimedia application for Just-in-Time (JIT) / Lean Production has been conceived, designed and assessed. A constructivist focus was followed in its conception and design to encourage active and flexible learning adapted to each individual’s own requirements. Using empirical research the tool has been assessed by students and compared to the traditional teaching methods. Findings: The interactive multimedia application has been clearly valued for the way it conveys information and for its usability, for the way the application is structured and the improvements to students’ understanding of the knowledge. Students are also in favour of ICT being incorporated into teaching over more traditional methods. The assessment took students’ gender and the average overall mark on their academic records as control variables but, broadly-speaking, no significant differences were found. Research limitations/implications: The study was carried out in a controlled environment and not in the normal on-site university teaching process. Conclusions could be extended to OM and other related subjects, especially if they make use of similar tools to the one described in this paper. Practical implications: This study provides a contribution that allows reflections to be made on the design of specific software for OM and students’ perceptions when using it. Originality/value: Through this paper we contribute to an improvement in learning methods in general and to higher education in OM in particular.
Climate, habitat associations and the potential distributions of Neotropical birds: Implications for diversification across the Andes

Contrary to the long-held view that the uplift of the Andes spurred biotic diversification by causing vicariance across multiple lineages with formerly continuous distributions, recent work suggests that dispersal across the Andes occurring after major uplift episodes was a major driver of speciation in Neotropical birds, with the ability of lineages to persist and disperse in the landscape being strong predictors of speciation. However, where and when dispersal events across the Andes occurred is unknown, and the role of climatic fluctuations and associated shifts in vegetation in promoting cross-Andes dispersal at different moments remains to be studied. We used models of species potential distributions based on contemporary and historical climatic data to examine scenarios of cross-Andes dispersal by 41 species of Neotropical lowland birds with varying habitat affinities. Our results indicate that ecological connectivity favoring cross-Andes dispersal at the present is higher in low-lying passes across the Andes of southern Ecuador and northern Peru than in passes in Colombia, and this spatial pattern appears to have been consistent at four different moments over the past 130,000 years. We also found that although some areas may be presently unsuitable for the dispersal of birds across the Andes, under past climatic conditions (i.e. during cooler and drier periods) they were substantially more likely to allow for ecological connectivity of populations across the cordillera. No consistent differences were found in ecological connectivity across the Andes in the present nor in the past for species occupying different habitat types. We suggest that valleys in the Andes are major drivers of evolutionary diversification not only by isolating populations of montane species, but also by allowing episodic dispersal of lowland species. Our models allow us to make predictions about gene flow which may be assessed in future studies examining fine-grain patterns of genetic exchange with landscape genetics tools. © 2016. Acad. Colomb. Cienc. Ex. Fis. Nat. All rights reserved.
Optimal tour planning with specified nodes

On considere le plasma consistant a determiner le circuit ou cycle le plus court dans un graphe contenant n nœuds et de telle sorte que: 1) k nœuds (k≤n) soient visites chacun une et une seule fois; 2) chacun des n-k nœuds restants soit visite au plus une fois. On decrit un algorithme de «branch and bound» pour ce probleme et on presente des resultats numeriques pour des problemes asymetriques contenant jusqu'a 200 nœuds et des problemes symetriques contenant jusqu'a 80 nœuds
Transfer Learning for Resolving Sparsity Problem in Recommender systems: Human Values Approach

With the rapid rise in popularity of ecommerce application, Recommender Systems are being widely used by them to predict the response that a user will give to a given item. This prediction helps in cross selling, upselling and to increase the loyalty of their customers. However due to lack of sufficient feedback data these systems suffer from sparsity problem which leads to decline in their prediction efficiency. In this work, we have proposed and empirically demonstrated how the Transfer Learning approach using five dimensions of basic human values can be successfully used to alleviate the sparsity problem and increase the efficiency of recommender system algorithms.
Design Optimization and Structural Property Study on Suspendome with Stacked Arch in Chiping Gymnasium

A new structural example, suspendome with stacked arch is accepted in Chiping gymnasium. In order to reduce the cost and to obtain a rational structure, an optimization for hoop cable pre-stressing is carried out firstly using first-order method by ANSYS software. Based on the characteristic of Chiping gymnasium, the temperature distribution of it is analyzed, and the temperature value for each element is obtained. Then for understanding the structural property of this new structure well, the static behavior is analyzed by building a three-dimensional FE model in ANSYS. Based on the research in this paper, it is concluded that a considerable stress could be induced by temperature load for Chiping gymnasium.
Effects of nutrient and soil moisture on competition between Carex stricta, Phalaris arundinacea ,a ndTypha latifolia

We investigated the importance of nutrients, soil moisture, arbuscular mycorrhizal fungi (AMF), and interspecific competition levels on the biomass allocation patterns of three wetland perennial plant species, Carex stricta Lam. , Phalaris arundinacea L. , and Typha latifolia L. A factorial experiment was conducted with high-low nutrient levels, high-low soil moisture levels, and with and without AMF inoculation. Under the experimental conditions, plant inoculation by AMF was too low to create a treatment and the AMF treatment was dropped from the total analysis. P. arundinacea and T. latifolia biomass were 73% and 77% higher, respectively, in the high nutrient treatment compared to the low nutrient treatment. Biomass allocation between shoots and roots remained relatively constant between environmental treatments, although shoot:root ratios of P. arundinacea declined in the low nutrient treatment. For C. stricta, the high nutrient and soil moisture treatments resulted in an increase in biomass of 50% and 15%, respectively. Shoot:root ratios were nearly constant among all environmental conditions. Biomass of T. latifolia and C. stricta was greatly decreased when grown with P. arundinacea. The rapid, initial height growth of P. arundinacea produced a spreading, horizontal canopy that overshadowed the vertical leaves of T. latifolia and C. stricta throughout the study. This pattern was repeated in both high and low nutrient and soil moisture treatments. When grown with P. arundinacea, C. stricta and T. latifolia significantly increased their mean shoot height, regardless of the nutrient or soil moisture level. The results of this experiment suggest that C. stricta and T. latifolia were light limited when growing with P. arundinacea and that canopy architecture is more important for biomass allocation than the other environmental conditions tested. The results also suggest that Phalaris arundinaceais an inherently better competitor (sensu Grime 1979) than C. stricta or T. latifolia.
A novel approach for characterizing broad-band radio spectral energy distributions

We present a new broadband radio frequency catalogue across 0.12 GHz $\le \nu \le$ 20 GHz created by combining data from the Murchison Widefield Array Commissioning Survey, the Australia Telescope 20 Gigahertz survey, and the literature. Our catalogue consists of 1285 sources limited by $S_{20\,\rm{GHz}} >$ 40 mJy at $5\sigma$, and contains flux density measurements (or estimates) and uncertainties at 0.074, 0.080, 0.119, 0.150, 0.180, 0.408, 0.843, 1.4, 4.8, 8.6, and 20 GHz. We fit a second-order polynomial in log-log space to the spectral energy distributions of all these sources in order to characterise their broadband emission. For the 994 sources which are well-described by a linear or quadratic model we present a new diagnostic plot arranging sources by the linear and curvature terms. We demonstrate the advantages of such a plot over the traditional radio colour-colour diagram. We also present astrophysical descriptions of the sources found in each segment of this new parameter space and discuss the utility of these plots in the upcoming era of large area, deep, broadband radio surveys.
Demographic impacts on the digital globalization of NGOs in Dera Ismail Khan KP Pakistan

This paper shows the impact of gender, age, Income, Qualification, Designation and Experience on digital globalization of NGOs of DIKhan, KP Pakistan, which were examined through a survey approach with the help of Structured Questionnaire. Globalization is a process that involves the growing sense of connectivity and shrinking world with different factors including NGOs. The vigorous role of globalization of NGOs has a powerful impact on connections, performance and birth of NGOs in every corner of the world, where women connectivity with their participation play an important role. But due to marginalized status of women and also demographic imbalances badly effect the performance growth and decision making process with diversity of opinion. Field survey was conducted from the employees working in NGOs in Dera Ismail Khan, KP Pakistan. The questionnaire contained 43 questions on different factors of Globalization as well as their impacts on the efficiency, effectiveness, innovativeness and responsiveness of the workforce as the indicators of their performance. Demographic impacts on Predictors and Criterions were tested through test of significant. This research will have a gigantic impact for all other researchers who are going to conduct their research in the same field. Key words: Globalization, NGOs, performance, effectiveness, efficiency.
Identification and Characterization of Endothelial Specific Genes Thesis by Donghun Shin In Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy

Cardiovascular development and its proper function are essential for the development and survival of animals, while malformation of vasculature leads to a variety of diseases. The significance of vasculature during development and in adulthood has been delineated by investigating the functions of genes expressed in the vasculature. Endothelial cells lining the lumen of vessel tubes with a single layer, had long been considered inert, homogeneous cells. However, molecular and genetic studies have provided numerous pieces of evidence, which indicate that endothelial cells are active, dynamic, heterogeneous cells. Among these studies, molecular differences between arterial and venous endothelial cells were first revealed by the observation that ephrin-B2 and its cognate receptor EphB4 are restrictively expressed in arterial and venous endothelial cells, respectively. These genes are not only molecular markers of arteries and veins, but they also play essential roles in cardiovascular development. To investigate whether the molecular difference between arteries and veins persists into adulthood, I analyzed ephrin-B2 expression in adult tissues including pathological settings. These data indicate that the molecular distinction is maintained in adults, and ephrin-B2 further distinguishes arterial smooth muscle cells from venous smooth muscle cells in adults. Ephrin-B2 was serendipitously identified as an arterial marker; therefore, I performed a systematic screen to isolate novel arterialand venous-specific genes, whose identification and characterization might improve current understanding of vascular biology. Through this screen, I isolated several novel arterial-restricted genes, and one of these genes, Depp (decidual protein induced by progesterone), was characterized in detail