Miracle-dz/UniFAR-FTUs huggingface dataset:
Batería para la evaluación del movimiento en niños –2– banda 1. Confiabilidad de la versión en español

Introducción: La adquisición de las destrezas motoras fundamentales influyen en la capacidad que tiene el niño para interactuar con el ambiente. Por lo anterior diversos instrumentos han sido creados para su evaluación. Objetivo: Evaluar la consistencia interna, reproducibilidad y el nivel de acuerdo de la Batería para la evaluación del Movimiento en Niños –2– banda 1 (MABC-2) en un grupo de preescolares.Pacientes y Método: Estudio de evaluación de pruebas diagnósticas con 29 preescolares, seleccionados por conveniencia, matriculados en una institución educativa de la ciudad de Bucaramanga, Colombia. Para la evaluación de la reproducibilidad inter-evaluadores, tres evaluadores observaron cada video de forma independiente. En la evaluación de la reproducibilidad intra-evaluador, cada evaluador observó el mismo video en dos oportunidades diferentes. Fue calculado el α de Cronbach para establecer la consistencia interna, la reproducibilidad intra y entre evaluadores fue calculada con el coeficiente de correlación intraclase (CCI) y el nivel de acuerdo fue determinado empleando la metodología de Bland y Altman.Resultados: La consistencia interna del total de la prueba para cada uno de los tres evaluadores fue superior a 0,60. Se encontró muy buena reproducibilidad para todos los ítems, atributos y el puntaje total del MABC-2 banda 1 (CCI ≥ 0,85), así como buenos niveles de acuerdo. Conclusión: La banda 1 del MABC-2 versión en español es un instrumento con adecuadas propiedades psicométricas de confiabilidad que puede ser utilizado para la evaluación del desarrollo motor en preescolares.
Major Approaches of Orthognathic Surgery in Obstructive Sleep Apnea Syndrome: A Systematic Review

Introduction: In the scenario of Obstructive Sleep Apnea Syndrome (OSAS), Orthognathic Surgery (OS) corrected the deformities of the maxillary and mandibular bones OS has evolved a lot in the last two decades. OS treats patients with moderate and severe facial deformities, allowing the achievement of functional balance and harmony in facial aesthetics. Objective: To present the current findings of the importance of orthognathic surgery in the treatment of obstructive sleep apnea syndrome. Methods: A total of 34 articles were found involving mesh terms about Orthognathic Surgery and OSAS. Initially, it was held the exclusion existing title and duplications following the interest described this work. After this process, the summaries were evaluated, and a new exclusion was held. Thus, 17 articles were included and discussed in this study. Major considerations and conclusion: In recent years, with the involvement and deepening of oral medicine in the diagnosis and treatment of OSAS, the role of OS in OSAS has become increasingly recognized. Early appropriate diagnosis and treatment can significantly improve patients' quality of life, reduce sudden death, and prevent various complications. OS corrects maxillofacial deformities through an incision of the upper and lower jaws, has a significant relief effect on the symptoms of OSAS in patients with upper airway stenosis, especially in small mandibular patients.
Assessment of Fitness Tracker Security: A Case of Study

The wearable industry has experienced a notable growth over the last decade, especially in fitness or e-health trackers. These trackers bring new functionalities that require collecting a great amount of sensitive information about the user. This fact has made fitness trackers the target of deliberate attacks, e.g., eavesdropping, unauthorized account access, fake firmware update, and so on. For this reason, this paper describes a vulnerability study on one of the most popular fitness trackers in 2017, together with the mobile application associated to the tracker. The study results show what vulnerabilities of the communications among agents (i.e., wearable device, mobile application and server) could put at risk users sensitive information and privacy.
Heterogeneous Impatience of Individual Consumers and Decreasing Impatience of the Representative Consumer

In a continuous-time equilibrium model of heterogeneous consumers, we formulate and prove the statement that the more heterogeneous the consumers are in their impatience, the more dynamically consistent the representative consumer is. We apply this result to interest rate models, and, in particular, accommodate heterogeneous impatience in the model of Cox, Ingersoll, and Ross (1985) to come up with a new form of short-rate processes.
Substitution in Sports: The Case of Lower Division Football Attendance

Commercialization processes in European football are facilitated by reducing concurrent games within the leagues and reallocating kickoff times to prime time slots abroad. Consequently, the number of top division games that temporally overlap with lower division games has increased significantly during recent years. By using attendance data of around 6,000 games in Germany’s fourth division, this article is the first to empirically test whether such overlaps have any adverse demand effects for lower division games. Fixed effects panel regressions reveal that overlapping games indeed reduce the demand for lower division games, suggesting some negative spillovers of commercialization processes in football.
Description of teacher professional competency by using media and learning resources in SD Muhammadiyah Demangan Yogyakarta in the Industry Era 4.0

In an effort to improve the quality of education in Indonesia, one of which can be done by increasing and developing the professional competence of teachers in the industrial age 4.0. This study aims to describe the ability of teachers to use media and learning resources as well as the barriers faced by teachers in using the media and learning resources in SD Muhammadiyah Demangan. This research is a descriptive qualitative research. Data collection methods used i.e., interview, observation and documentation. Data analysis in this research with the reduction of data, display data, and the withdrawal of the conclusion. Test the validity of the data using triangulation techniques and sources. The results showed that (1) the ability of teachers to use instructional media such as print, visual, audio-visual and games are already good just for the media game is rarely used because of the time limitations. (2) the ability of teachers using learning resources such as message/content, people/teachers, material/software,tools/hardware, engineering and the environment is already good. (3) the obstacles facing teachers namely time, funding, networking internet, interest, capabilities, characteristics and level of understanding of different students and students who do not focus or not. In addition to enhancing the competence of a teacher who is a professional in the industry 4.0 minimum teacher also has the capability of 4 c i.e. Communication, colaboration, critical thingking, and creativitas thingking in an effort to improve the quality the teachers themselves.
Cross-Cultural Linguistic Analysis of Persuasive Techniques in Shark Tank

The present study evaluates the application of William McGuire's Model of persuasion (1968) on Talk Shows from a cross-cultural view. Selected episodes from "Shark Tank" show in its two versions (the American and the Saudi) are transcribed and analyzed to identify the persuasive steps and techniques used by the participants in order to examine how persuasion works in the two different cultures. Results show that McGuire's model was 50%applied in the American version. Also, the Americans' style of persuasion was characterized by low context meaning, direct speech, linear themes, formal language, verbal techniques oriented, display feelings and creative thinking. On the other hand, McGuire's model of persuasion was 25% applied in the Saudi version. The Saudis' style of persuasion was characterized by high context meaning, indirect speech, non-linear themes, informal language, nonverbal techniques, partly conceals feelings and Simi creative thinking.
3D Face Recognition using Local Feature based Methods

Face recognition has attracted many researchers’ attention compared to other biometrics due to its non-intrusive and friendly nature. Although several methods for 2D face recognition have been proposed so far, there are still some challenges related to the 2D face including illumination, pose variation, and facial expression. In the last few decades, 3D face research area has become more interesting since shape and geometry information are used to handle challenges from 2D faces. Existing algorithms for face recognition are divided into three different categories: holistic feature-based, local feature-based, and hybrid methods. According to the literature, local features have shown better performance relative to holistic feature-based methods under expression and occlusion challenges. In this dissertation, local feature-based methods for 3D face recognition have been studied and surveyed. In the survey, local methods are classified into three broad categories which consist of keypoint-based, curve-based, and local surface-based methods. Inspired by keypoint-based methods which are effective to handle partial occlusion, structural context descriptor on pyramidal shape maps and texture image has been proposed in a multimodal scheme. Score-level fusion is used to combine keypoints’ matching score in both texture and shape modalities. The survey shows local surface-based methods are efficient to handle facial expression. Accordingly, a local derivative pattern is introduced to extract distinct features from depth map in this work. In addition, the local derivative pattern is applied on surface normals. Most 3D face recognition algorithms are focused to utilize the depth information to detect and extract features. Compared to depth maps, surface normals of each point can determine the facial surface orientation, which provides an efficient facial surface representation to extract distinct features for recognition task. An Extreme Learning Machine (ELM)-based auto-encoder is used to make the feature space more discriminative. Expression and occlusion robust analysis using the information from the normal maps are investigated by dividing the facial region into patches. A novel hy-
A Framework to Predict the Adoption of Social Customer Relationship Management in Small and Medium Enterprises

This research develops a new model for the use of Social Customer Relationship Management in the Iranian Small and Medium Enterprises. Our model is based on Information Process components (Information Capture, Information Use, and Information Sharing), Technology Acceptance Model and several factors from the literature. By developing ten hypotheses, this model investigates how Social Customer Relationship Management can be adopted by the Small and Medium Enterprises for their business purposes. To evaluate the hypotheses and verify the research model, a survey questionnaire was conducted and the data was collected from 100 Iranian Small and Medium Enterprises. We use Partial Least Squares Structural Equation Modeling approach to analysis the data. The results revealed that all of the proposed hypotheses are accepted. The results on the data analysis are discussed and the limitation and the future work are presented. Â
Mass manufacturing of high resolution and lightweight monocrystalline silicon x-ray mirror modules

Astronomical observations of distant and faint X-ray sources will expand our understanding of the evolving universe. These challenging science goals require X-ray optical elements that are manufactured, measured, coated, aligned, assembled, and tested at scale. The Next Generation X-ray Optics (NGXO) group at NASA Goddard Space Flight Center is developing solutions to the challenges faced in planning, constructing, and integrating X-ray optics for future telescopes such as the Lynx Large Mission concept for the Astro2020 Decadal Survey on Astronomy and Astrophysics, Probe Mission concepts AXIS, TAP, and HEX-P, the Explorer Mission concepts STAR-X and FORCE and the sub-orbital mission OGRE. The lightweight mirror segments, eﬃciently manufactured from blocks of commercially available monocrystalline silicon, are coated, aligned, and ﬁxed in modular form. This paper discusses our ﬁrst attempt to encapsulate our technology experience and knowledge into a model to meet the challenge of engineering and production of the many modules required for a spaceﬂight mission. Through parallel lines of fabrication, assembly, and testing, as well as the use of existing high throughput industrial technologies, ∼ 10 4 coated X-ray mirror segments can be integrated into ∼ 10 3 modules adhering to a set budget and schedule that survive environmental testing and approach the diﬀraction limit.
Marketisation in China: progress and contribution to growth

ch na has persevered n ts market-or ented econom c reform for nearly 30 years. Gu ded by a reform strategy of ‘grop ng for stones to cross the r ver’, ch na managed to avo d major econom c decl ne and the cr ses that occurred n other trans t onal econom es such as russ a and eastern european countr es. it successfully transformed the prev ously centrally planned economy nto a ma nly market-or ented economy w th cont nued rap d growth, although there are st ll many confl cts between the new and the old systems.
Calculation of Oil-saturated Sand Soils’ Heat Conductivity

Nowadays, there are significant heavy high-viscosity oil reserves in the Russian Federation with oil recovery coefficient not higher than 0.25-0.29 even with applying modern and efficient methods of oil fields development. Thermal methods are the most promising out of the existing ways of development, main disadvantage of which is large material costs, leading to the significant rise in the cost of extracted oil. Thus, creating more efficient thermal methods and improving the existing ones, is the task of great importance in oil production.One of the promising trends in enhancing thermal methods of oil recovery is the development of bottomhole electric steam generators. Compared to the traditional methods of thermal-steam formation treatment, which involve steam injection from surface, well electrothermal devices can reduce energy losses and improve the quality of steam injected into the formation. For successful and efficient organization of oil production and rational development of high-viscosity oil fields using well electrothermal equipment, it is necessary to take into account the pattern of heat propagation, both in the reservoir and in the surrounding space, including the top and bottom. One of the main values characterizing this process is the heat conductivity λ of oil-bearing rocks. The article describes composition of typical oil-saturated sand soils, presents studies of heat and mass transfer in oil-saturated soils, reveals the effect of various parameters on the heat conductivity of a heterogeneous system, proposes a method for calculating the heat conductivity of oil-bearing soils by sequential reduction of a multicomponent system to a two-component system and proves the validity of the proposed approach by comparing acquired calculated dependencies and experimental data.
The human-computer
connection: An overview of brain-computer
interfaces

This article introduces the field of brain-computer interfaces (BCI), which allows the control of devices without the generation of any active motor output but directly from the decoding of the user’s brain signals. Here we review the current state of the art in the BCI field, discussing the main components of such an interface and illustrating ongoing research questions and prototypes for controlling a large variety of devices, from virtual keyboards for communication to robotics systems to replace lost motor functions and even clinical interventions for motor rehabilitation after a stroke. The article concludes with some insights into the future of BCI.
Storage capacitance minimization in LED drivers based on photometrical constraints and converter integration

– This work proposes a novel combined approach for reducing the storage capacitances in off-line high power factor LED drivers. The proposal is to combine converter integration (power factor correction plus power control stages sharing a common switch) with photometrical constraints on the maximum allowable LED current ripple. An experimental setup was used to assess the upper limit for current ripple on the LEDs based on luminous flux drop, efficacy drop and chromaticity coordinate change. By combining the ripple design constraint obtained from photometrical measurements with the design methodology of an integrated converter, the largest storage capacitances (bus and output capacitors) were greatly reduced, allowing the use of small film capacitors of long lifespan, rather than relying on large short-lived electrolytic capacitors. As a design example, an integration between a SEPIC power factor preregulator and a buck-boost power control stage was chosen and a prototype was built, fed from 220 V / 60 Hz mains voltage and feeding 56 series-associated LEDs (ca. 70 W). The driver imposed a 50% current ripple on the LEDs, value for which it was found to yield only 0.2% decrement in luminous flux, while preserving color stability.
A new approach to concept basicness and stability as a window to the robustness of concept list rankings

Based on a recently published large-scale lexicostatistical database, we rank 1,016 concepts by their suitability for inclusion in Swadesh-style lists of basic stable concepts. For this, we define separate measures of basicness and stability. Basicness in the sense of morphological simplicity is measured based on information content, a generalization of word length which corrects for distorting effects of phoneme inventory sizes, phonotactics and non-stem morphemes in dictionary forms. Stability against replacement by semantic shift or borrowing is measured by sampling independent language pairs, and correlating the distances between the forms for the concept with the overall language distances. In order to determine the relative importance of basicness and stability, we optimize our combination of the two partial measures towards similarity with existing lists. A comparison with and among existing rankings suggests that concept rankings are highly data-dependent and therefore less well-grounded than previously assumed. To explore this issue, we evaluate the robustness of our ranking against language pair resampling, allowing us to assess how much volatility can be expected, and showing that only about half of the concepts on a list based on our ranking can safely be assumed to belong on the list independently of the data.
Deep Learning vs. Bayesian Knowledge Tracing: Student Models for Interventions

Bayesian Knowledge Tracing (BKT) is a commonly used approach for student modeling, and Long Short Term Memory (LSTM) is a versatile model that can be applied to a wide range of tasks, such as language translation. In this work, we directly compared three models: BKT, its variant Intervention-BKT (IBKT), and LSTM, on two types of student modeling tasks: post-test scores prediction and learning gains prediction. Additionally, while previous work on student learning has often used skill/knowledge components identified by domain experts, we incorporated an automatic skill discovery method (SK), which includes a nonparametric prior over the exercise-skill assignments, to all three models. Thus, we explored a total of six models: BKT, BKT+SK, IBKT, IBKT+SK, LSTM, and LSTM+SK. Two training datasets were employed, one was collected from a natural language physics intelligent tutoring system named Cordillera, and the other was from a standard probability intelligent tutoring system named Pyrenees. Overall, our results showed that BKT and BKT+SK outperformed the others on predicting post-test scores, whereas LSTM and LSTM+SK achieved the highest accuracy, F1-measure, and area under the ROC curve (AUC) on predicting learning gains. Furthermore, we demonstrated that by combining SK with the BKT model, BKT+SK could reliably predict post-test scores using only the earliest 50% of the entire training sequences. For learning gain early prediction, using the earliest 70% of the entire sequences, LSTM can deliver a comparable prediction as using the entire training sequences. The findings yield a learning environment that can foretell students’ performance and learning gains early, and can render adaptive pedagogical strategy accordingly.
The extended understanding of chronic granulomatous disease.

PURPOSE OF REVIEW We briefly address the advances in genetics, pathophysiology, and phenotypes of chronic granulomatous disease (CGD). This is one of the most studied primary immunodeficiencies, which comprise mutations in genes encoding the different subunits of the NADPH oxidase system. Those mutations lead to defective reactive oxygen species production, and consequently a failure to eliminate pathogens. RECENT FINDINGS Patients with CGD are susceptible to fungal, bacterial, and parasitic infections. Other symptoms, as systemic adverse effects to BCG vaccine and hyperinflammation, are also important clinical conditions in this disease. This wide-ranging clinical spectrum of CGD comes from heterogeneity of mutations, X-linked-CGD or autosomal recessive inheritance, and diverse environmental pressure factors. Early accurate diagnosis and prompt treatment are necessary to diminish the consequences of the disease. The most used diagnostic tests are dihydrorhodamine, cytochrome c reduction, and luminol-enhanced chemiluminescence assay. SUMMARY The determination of mutations is essential for diagnosis confirmation and genetic counseling. CGD treatment usually includes prophylactic antibiotics and antifungals. Prophylactic recombinant human interferon-γ, immunosuppressors or immune modulators may be, respectively, indicated for preventing infections or inflammatory manifestations. Hematopoietic stem cell transplantation and gene therapy are currently the available options for curative treatment of CGD.
Effectiveness of Positive Reinforcement to Improve Discipline through Caregiver

The aims of this research are to investigate the effectiveness of positive reinforcement to improve discipline behavior in a kindergarten student. The discipline behavior is important as a key success of school readiness and future academic success. Children will not be able to adapt to academic tasks and social interactions at school if they have disciplinary problems. This intervention is a single case study (N = 1) applied in a home setting. This method used pre-post design (AB design) and multiple baseline across settings (eating and playing situation). A caregiver implements this intervention in home settings because children spend most of their time with a caregiver while parents are working. This intervention was 18 days and includes a baseline phase, intervention, and evaluation phase. The result proves that positive reinforcement is effective to improve discipline behavior in home settings (eating and playing situation). This research also found that measures to improve discipline in children can be implemented by a caregiver.
High-Skilled Services and Development in China

We document that the employment share of high-skilled services is much lower in China than in countries with similar GDP per capita. We build a model of structural change between goods, low-skilled services, and high-skilled services to account for this observation. We find that large distortions limit the size of high-skilled services in China. If they were removed, both high-skilled services and GDP per capita would increase considerably and the effects of technological progress and education on GDP per capita would be considerably larger. This suggests that distortions in high-skilled services importantly hold back the development of China.