bluuebunny/crossref_metadata_2025 huggingface dataset:
Experiencia universitaria sobre las funciones del educador/a social con tecnologías 2.0.
Authors: López Meneses Eloy , Llorent García Vicente J. , Fernández Márquez Esther
Published: May 2020

En el artículo se describe una experiencia de innovación en enseñanza universitaria, con presentaciones educativas interactivas sobre las principales funciones del Educador/a Social.Entre sus objetivos destacan: Reflexionar sobre las principales funciones del profesional de la Educación Social, favorecer el rol activo y autónomo de los estudiantes en el proceso de construcción del conocimiento. La experiencia educativa ha corroborado que las principales funciones reconocidas para este alumnado son orientar (66,15%), educar y enseñar conocimientos y experiencias (52,31%), motivar (41,54%),  dinamizar (40%), informar y promover (27,69%), tutorizar (24,62%), evaluar (18,46%), investigar (16,92%), intervenir socialmente y favorecer los procesos de mediación (13,85%).
Las páginas de inicio como herramientas de ayuda para organizar el PLE. Un análisis comparativo
Authors: Urbina Ramírez Santos , Arrabal Cormenzana Marina , Conde Miriam , Ordinas Pons Catalina
Published: May 2020

El objetivo principal del presente trabajo ha sido elaborar una comparativa entre diferentes páginas de inicio, como herramientas configuradoras del PLE. Para ello, se describe las posibilidades de las herramientas analizadas, destacando sus fortalezas y debilidades. La finalidad última es ofrecer al lector algunas ideas clave que le orienten en su elección. Asimismo se pone de manifiesto la importancia de la actualización del profesorado universitario en materia de TIC, así como de las iniciativas institucionales para facilitar la integración de los LMS con los entornos personales y sociales.
Materiales curriculares de elaboración propia en Internet. ¿Una alternativa al libro de texto para el área de conocimiento del medio?
Authors: López Sánchez Francisco Javier , Travé González Gabriel
Published: May 2020

En este artículo se presenta una investigación sobre algunos de los materiales virtuales con  presencia en Internet a partir de una muestra de WebQuests y unidades didácticas multimedia. A lo largo del estudio tratamos de determinar los modelos didácticos propuestos, sus fortalezas y debilidades y su viabilidad para el desarrollo del currículum como alternativa al libro de texto. El análisis de contenido realizado pone de manifiesto que aún queda mucho camino por recorrer en este sentido.
Aprendizaje a través de proyectos colaborativos con TIC. Análisis de dos experiencias en el contexto educativo
Authors: Basilotta Gómez-Pablos Verónica , Herrada Valverde Gabriel
Published: May 2020

En el trabajo que se presenta a continuación, se ha asumido la tarea de revisar dos proyectos colaborativos con TIC que se están desarrollando en diversos centros educativos. Se ha realizado un análisis en profundidad en base a unas categorías definidas a priori, en dos proyectos de interés para la Comunidad Educativa, que han recibido premios y que se han implementado en varios cursos académicos: Poesía eres tú y Flautateka. Las conclusiones apuntan en general a una valoración positiva por parte de los miembros del proyecto, que consideran que estas experiencias contribuyen al aprendizaje del alumnado y al desarrollo de sus competencias.
Impacto de las TIC en las personas mayores en Asturias: mejora del autoconcepto y de la satisfacción
Authors: Agudo Prado Susana , Fombona Cadavieco Javier
Published: May 2020

Envejecer bien, de forma saludablemente y efectiva, es un concepto que comienza a adquirir gran importancia en la sociedad, como medida en la lucha contra la dependencia. La educación posibilita seguir desarrollando sus potencialidades, su actividad productiva, su motivación y satisfacción. Las TIC se presentan como instrumentos que favorecen un “buen envejecer”. Esta investigación determina cómo el uso de las TIC mejora la autoestima y la autoconfianza de las personas mayores de Asturias.
Determinación del perfil de los estudiantes universitarios con base a variables académicas y tecnológicas
Authors: León Lorta César , Organista Sandoval Javier
Published: May 2020

Se presenta un estudio sobre las actividades educativas que realizan estudiantes universitarios a través del smartphone y la eventual relación de variables tecnológicas y académicas con el promedio de calificación. A partir de los resultados se logró clasificar las actividades, comprobar la posesión y frecuencia de uso. Además, se compararon grupos de estudiantes con base a variables de uso educativo y posesión de tecnología. Finalmente, se reflexiona sobre el potencial del smartphone como herramienta pedagógica.
Proyectos eTwinning: Aprendiendo en la distancia
Authors: García Fernández Tamara , Romero Tena Rosalía
Published: May 2020

El artículo expone los resultados de la implantación de los proyectos eTwinning en los centros de primaria desde la perspectiva del profesorado. El estudio pretende conocer cómo se ha implantado, dificultades y limitaciones, qué aporta a profesores y alumnos, etc., para ello se ha entrevistado al profesorado responsable. Se concluye que es un elemento innovador para manejo TIC y para el aprendizaje de otras lenguas. Implica trabajo colaborativo,  intercambio cultural y dimensión europea de la educación.
El espacio de aprendizaje en las aulas para el aprendizaje activo apoyado en tecnologías del MIT ("TEAL Classrooms")
Authors: Belcher John W.
Published: May 2020

Tratamos la naturaleza del espacio de aprendizaje utilizado en las clases de introducción a la física del MIT. Estos espacios educativos se han diseñado para la interacción, tanto en términos de experimentos de escritorio, planteamiento y resolución de problemas en clase aprovechando las pizarras colocadas en el perímetro de la sala, y "preguntas sobre conceptos" que se responden ´de forma anónima durante los períodos de formación. Exponemos los resultados de la evaluación de esta forma de enseñar comparados al formato tradicional de clases magistrales en la enseñanza de la física en el MIT. También tratamos los cambios que estamos contemplando en el formato de clase TEAL a la luz de una gran inversión del MIT y del compromiso con el aprendizaje online a través de edX y MITx.
Creación de entornos personales de aprendizaje como recurso para la formación. El proyecto Dipro 2.0
Authors: Cabero Julio Almenara
Published: May 2020

A través del presente artículo se ofrece una primera aproximación al concepto de PLE en lo que corresponde a los componentes fundamental, herramientas que lo configuran, así como diferentes perspectivas o marcos de diseño instruccional desde lo que poder enmarcarlos para su aplicación didáctica en contextos de formación de enseñanza superior. La última parte del mismo, está destinada a la exposición del proyecto Dipro 2.0 desarrollado con el objetivo principal de construir un entorno personal de aprendizaje que sirviese como herramienta tecnológica-didáctica y curricular desde el que formar al profesorado universitario, así como para la formación de los estudiantes en temáticas vinculadas con las tecnologías educativas.
Diseño de autoestudios multimedia para competencias digitales: Caso del primer MOOC latinoamericano
Authors: Gomez Porras Maria de Lourdes , Celaya Ramirez Rosario , Ramirez Montoya Maria Soledad
Published: May 2020

Esta investigación analiza los elementos de diseño de ocho autoestudios multimedia (AM) que ayudaron a desarrollar dos competencias digitales de Alfabetización Informativa (AI) durante el primer seminario MOOC en Latinoamérica. El análisis se realizó desde dos perspectivas: principios de la Teoría Cognitiva del Aprendizaje Multimedia (TCAM) y la forma de incorporar los AM al seminario. Se utilizó el método cualitativo de estudio de caso. Mediante el análisis de documentos, entrevistas y observación se estudiaron dos categorías: desarrollo de competencias y elementos de los AM. Se encontraron cuatro elementos que favorecen el desarrollo de competencias, dos relacionados con la TCAM y dos con la integración de los AM al seminario: principio de coherencia, principio de personalización, conectivismo y aprendizaje activo.
Percepción de los alumnos de Educación Primaria de la Universidad de Salamanca sobre su competencia digital
Authors: Cabezas González Marcos , Casillas Martín Sonia , Pinto Llorente Ana María
Published: May 2020

Presentamos una investigación cuyo objetivo es el de conocer la percepción que tienen los alumnos de Educación Primaria de la Universidad de Salamanca sobre su competencia digital. Se ha seguido una metodología cuantitativa, un método no experimental y descriptivo, y se ha utilizado la técnica del cuestionario para la recogida de datos. La muestra está compuesta por un total de 52 alumnos de una población de 57. Los resultados obtenidos ponen de manifiesto que la mayoría de alumnos se sienten capacitados para aplicar las TIC en el proceso de enseñanza-aprendizaje, en contra de otras investigaciones en las que los profesores se autoevalúan como que no se encuentran capacitados para utilizar las TICs que tienen a su disposición en las instituciones educativas.
Programas de detección de plagio académico: conocimiento y uso por parte del profesorado de eso y consejos para su utilización
Authors: Comas Forgas Rubén , Urbina Ramírez Santos , Gallardo José M.
Published: May 2020

El presente artículo describe un estudio desarrollado entre docentes de Educación Secundaria Obligatoria acerca de su nivel de conocimiento y uso de programas de detección de plagio académico. A la vez, se presentan los datos relativos a un análisis de eficacia y fiabilidad de diversos programas de detección de plagio. Los resultados obtenidos por la investigación llevada a cabo ponen de manifiesto un alto desconocimiento y un uso muy residual de los programas antiplagio por parte de los docentes de secundaria. Se trata éste de un campo en el que urge desarrollar medidas basadas en la conjunción de estrategias preventivas y de detección, formativas y reguladoras a nivel institucional en los centros educativos.
Implementación del ABP como métodolo para promover competencias de colaboración un ambiente virtual (Webnode)
Authors: Rivera Vazquez Nohemi , Agudelo Quiroz Adriana María , Ramos Arcos Xitlali Manuela , Vargas Mateus Jakeline Camila
Published: May 2020

El artículo refiere a un proyecto de investigación educativa con el cual se valoró el uso  del Aprendizaje Basado en Problemas y su impacto en el trabajo colaborativo a través de una  webnode. Se utilizó el método de estudio de caso instrumental, ya que el fin último fue la valoración de la relación del ABP y el trabajo colaborativo a través de una plataforma virtual. La entrevista semi-estructurada, un cuestionario y la observación virtual son los instrumentos usados para la recolección de datos, que evidencian que, utilizar el método ABP a través de una webnode facilita el desarrollo de competencias de trabajo colaborativo en los procesos de capacitación docente.
Aplicación de Web Map Services en la elaboración de un bloque temático de la materia de Biología y Geología de 4º de ESO.
Authors: Ibarra Marinas Daniel , Martínez Hernández Carlos , Rubio Iborra José , Pérez Resina Juan Pedro , Figueres Cuesta Carmen
Published: May 2020

El objetivo de este trabajo ha sido integrar los SIG (Sistemas de Información Geográfica) como herramientas TIC (Tecnologías de la información y la comunicación) en las aulas. Se ha realizado una  selección de WMS (Wep Map Services) gratuitos, que a través de la utilización de un SIG de escritorio, pueda servir como base al docente a la hora de gestionar los contenidos del Bloque 2 de la asignatura de Biología y Geología de 4º Curso de la E.S.O. Los resultados muestran que la interfaz amigable de estas herramientas, propias del ámbito profesional y de investigación del medio ambiente, facilitan el trabajo de los profesores, aumentan la interactividad de los alumnos con la asignatura y su capacidad para entender el espacio.
Determinación de la eficiencia y el coeficiente total de pérdidas del colector de placa plana de 2m2, utilizando un banco de pruebas según la NTP 399.400 en Arequipa
Authors: Flores Larico Pedro Bertín , Pedemonte Grau Carlos Enrique , Riveros Ramos Ernesto Alexander , Bentura Vera Sergio Gianluca , Corrales Mollo Esnayder , Milón Guzmán Juan José
Published: May 2020

Arequipa es una ciudad con más de 70000 Sistemas de Calentamiento de Agua con Energía Solar (SCAES), existen más de 30 fabricantes de termas solares que no tienen laboratorios propios para poder determinar las características térmicas y la eficiencia. Se instaló un banco de pruebas para evaluar la eficiencia de los colectores solares de placa plana, bajo la norma técnica peruana NTP 399.400 2001. Tres colectores utilizados son de 2m2 sirvieron para determinar el rango de valores de eficiencias máximas como del coeficiente global de pérdidas del sistema SCAES. Valores no determinados anteriormente con un módulo estandarizado.
The Effect of a Health Game Prompt on Self-efficacy: Online Between-Subjects Experimental Survey (Preprint)
Authors: Haring Priscilla
Published: May 2020

BACKGROUND

Games for health are increasingly used as (part of) health interventions and more effect research into games for health is being done. This online experiment questions expectancies of games for health by investigating whether a game for health prompt might be considered arousal congruent cognitive reappraisal and as such positively effects self-efficacy before gameplay.

OBJECTIVE

The aim of this study experiment is to test whether a game for health prompt effects self-efficacy and other well-being measurements, as a first step into investigating if a game prompt is a form of arousal congruent cognitive reappraisal.

METHODS

This study used an online, 2D, between-subjects experimental survey design with self-efficacy as the main dependent variable. Stimulus is an assignment for health-related problem solving concerning living with diabetes type II, introduced as a game (n=125) versus the same assignment introduced as a task (n=107). Measurements after prompting the game/task assignment include self-efficacy, positive and negative affect, expected difficulty, flourishing, and self-esteem.

RESULTS

The results indicate a small negative effect from prompting the game assignment on self-efficacy, compared with prompting a task assignment. This effect is mediated by the expected difficulty of the health game/task. No differences between the game and task groups were found in affect, flourishing, or self-esteem.

CONCLUSIONS

This experiment provides no support for the notion that a game for health prompt might be seen as arousal congruent cognitive reappraisal.
Using Item Response Theory for Explainable Machine Learning in Predicting Mortality in the Intensive Care Unit: Case-Based Approach (Preprint)
Authors: Kline Adrienne , Kline Theresa , Shakeri Hossein Abad Zahra , Lee Joon
Published: May 2020

BACKGROUND

Supervised machine learning (ML) is being featured in the health care literature with study results frequently reported using metrics such as accuracy, sensitivity, specificity, recall, or F1 score. Although each metric provides a different perspective on the performance, they remain to be overall measures for the whole sample, discounting the uniqueness of each case or patient. Intuitively, we know that all cases are not equal, but the present evaluative approaches do not take case difficulty into account.

OBJECTIVE

A more case-based, comprehensive approach is warranted to assess supervised ML outcomes and forms the rationale for this study. This study aims to demonstrate how the item response theory (IRT) can be used to stratify the data based on how difficult each case is to classify, independent of the outcome measure of interest (eg, accuracy). This stratification allows the evaluation of ML classifiers to take the form of a distribution rather than a single scalar value.

METHODS

Two large, public intensive care unit data sets, Medical Information Mart for Intensive Care III and electronic intensive care unit, were used to showcase this method in predicting mortality. For each data set, a balanced sample (n=8078 and n=21,940, respectively) and an imbalanced sample (n=12,117 and n=32,910, respectively) were drawn. A 2-parameter logistic model was used to provide scores for each case. Several ML algorithms were used in the demonstration to classify cases based on their health-related features: logistic regression, linear discriminant analysis, K-nearest neighbors, decision tree, naive Bayes, and a neural network. Generalized linear mixed model analyses were used to assess the effects of case difficulty strata, ML algorithm, and the interaction between them in predicting accuracy.

RESULTS

The results showed significant effects (P<.001) for case difficulty strata, ML algorithm, and their interaction in predicting accuracy and illustrated that all classifiers performed better with easier-to-classify cases and that overall the neural network performed best. Significant interactions suggest that cases that fall in the most arduous strata should be handled by logistic regression, linear discriminant analysis, decision tree, or neural network but not by naive Bayes or K-nearest neighbors. Conventional metrics for ML classification have been reported for methodological comparison.

CONCLUSIONS

This demonstration shows that using the IRT is a viable method for understanding the data that are provided to ML algorithms, independent of outcome measures, and highlights how well classifiers differentiate cases of varying difficulty. This method explains which features are indicative of healthy states and why. It enables end users to tailor the classifier that is appropriate to the difficulty level of the patient for personalized medicine.
Rates of Attrition and Dropout in App-Based Interventions for Chronic Disease: Systematic Review and Meta-Analysis (Preprint)
Authors: Meyerowitz-Katz Gideon , Ravi Sumathy , Arnolda Leonard , Feng Xiaoqi , Maberly Glen , Astell-Burt Thomas
Published: May 2020

BACKGROUND

Chronic disease represents a large and growing burden to the health care system worldwide. One method of managing this burden is the use of app-based interventions; however attrition, defined as lack of patient use of the intervention, is an issue for these interventions. While many apps have been developed, there is some evidence that they have significant issues with sustained use, with up to 98% of people only using the app for a short time before dropping out and/or dropping use down to the point where the app is no longer effective at helping to manage disease.

OBJECTIVE

Our objectives are to systematically appraise and perform a meta-analysis on dropout rates in apps for chronic disease and to qualitatively synthesize possible reasons for these dropout rates that could be addressed in future interventions.

METHODS

MEDLINE (Medical Literature Analysis and Retrieval System Online), PubMed, Cochrane CENTRAL (Central Register of Controlled Trials), and Embase were searched from 2003 to the present to look at mobile health (mHealth) and attrition or dropout. Studies, either randomized controlled trials (RCTs) or observational trials, looking at chronic disease with measures of dropout were included. Meta-analysis of attrition rates was conducted in Stata, version 15.1 (StataCorp LLC). Included studies were also qualitatively synthesized to examine reasons for dropout and avenues for future research.

RESULTS

Of 833 studies identified in the literature search, 17 were included in the review and meta-analysis. Out of 17 studies, 9 (53%) were RCTs and 8 (47%) were observational trials, with both types covering a range of chronic diseases. The pooled dropout rate was 43% (95% CI 29-57), with observational studies having a higher dropout rate (49%, 95% CI 27-70) than RCTs in more controlled scenarios, which only had a 40% dropout rate (95% CI 16-63). The studies were extremely varied, which is represented statistically in the high degree of heterogeneity (I2>99%). Qualitative synthesis revealed a range of reasons relating to attrition from app-based interventions, including social, demographic, and behavioral factors that could be addressed.

CONCLUSIONS

Dropout rates in mHealth interventions are high, but possible areas to minimize attrition exist. Reducing dropout rates will make these apps more effective for disease management in the long term.

CLINICALTRIAL

International Prospective Register of Systematic Reviews (PROSPERO) CRD42019128737; https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42019128737
Ontological Organization and Bioinformatic Analysis of Adverse Drug Reactions From Package Inserts: Development and Usability Study (Preprint)
Authors: Li Xiaoying , Lin Xin , Ren Huiling , Guo Jinjing
Published: May 2020

BACKGROUND

Licensed drugs may cause unexpected adverse reactions in patients, resulting in morbidity, risk of mortality, therapy disruptions, and prolonged hospital stays. Officially approved drug package inserts list the adverse reactions identified from randomized controlled clinical trials with high evidence levels and worldwide postmarketing surveillance. Formal representation of the adverse drug reaction (ADR) enclosed in semistructured package inserts will enable deep recognition of side effects and rational drug use, substantially reduce morbidity, and decrease societal costs.

OBJECTIVE

This paper aims to present an ontological organization of traceable ADR information extracted from licensed package inserts. In addition, it will provide machine-understandable knowledge for bioinformatics analysis, semantic retrieval, and intelligent clinical applications.

METHODS

Based on the essential content of package inserts, a generic ADR ontology model is proposed from two dimensions (and nine subdimensions), covering the ADR information and medication instructions. This is followed by a customized natural language processing method programmed with Python to retrieve the relevant information enclosed in package inserts. After the biocuration and identification of retrieved data from the package insert, an ADR ontology is automatically built for further bioinformatic analysis.

RESULTS

We collected 165 package inserts of quinolone drugs from the National Medical Products Administration and other drug databases in China, and built a specialized ADR ontology containing 2879 classes and 15,711 semantic relations. For each quinolone drug, the reported ADR information and medication instructions have been logically represented and formally organized in an ADR ontology. To demonstrate its usage, the source data were further bioinformatically analyzed. For example, the number of drug-ADR triples and major ADRs associated with each active ingredient were recorded. The 10 ADRs most frequently observed among quinolones were identified and categorized based on the 18 categories defined in the proposal. The occurrence frequency, severity, and ADR mitigation method explicitly stated in package inserts were also analyzed, as well as the top 5 specific populations with contraindications for quinolone drugs.

CONCLUSIONS

Ontological representation and organization using officially approved information from drug package inserts enables the identification and bioinformatic analysis of adverse reactions caused by a specific drug with regard to predefined ADR ontology classes and semantic relations. The resulting ontology-based ADR knowledge source classifies drug-specific adverse reactions, and supports a better understanding of ADRs and safer prescription of medications.
Best Fitting Methods for The Mud Profile Equations
Authors: Tarigan A Perwira Mulia , Purba Hasanul Arifin
Published: May 2020

In order to understand the dynamics of shoreline changes due to natural and anthropogenic causes, it is imperative for a coastal manager to comprehend the shore profile characteristics which are dependent on the sediment-wave interaction and can be depicted in a profile equation. Moreover, it is possible to derive the power form for the profile equation of a sandy coast based on the argument of wave energy dissipation per unit bed area and unit time. By using this same argument and considering the phenomenon that the main cause of wave damping over a muddy coast is due to energy absorption by the soft mud bottom, the mud profile equation can also be formulated. The aim of this study was to observe the mud profile equation geometry using best fitting method and to compare the characteristic features of the mud profiles using the field observation data. Shore profile data were measured from the muddy coast of Pantai Cermin in the eastern coast of North Sumatera Province. The data obtained were fitted to both the sand and mud profile equations. The procedures and results of the two best fitting methods, the nonlinear regression and the least square based trial and error search, were exhibited and compared. Several noteworthy features of the mud profile equation were found to be the same with the sand profile equation in describing the profile data. In order to provide a better profile and shoreline stabilization, it is recommended to use more complete observation data and good knowledge of shore profile by the coastal manager.
The Development of Finite Element Model to Investigate the Structural Performance of Reinforced Concrete Hollow Beams
Authors: Ling Jen Hua , Chan Lin Li , Leong Wen Kam , Sia How Teck
Published: May 2020

The self-weight of a reinforced concrete beam contributes to the permanent loads of a structure. This can be reduced by creating a longitudinal void along the beam so that it will not affect the performance of the beam. In addition, this process can reduce the amount of building cost. Therefore, a finite element model was developed in this study with the aid of a computer program, Ansys, to investigate the behavior of the hollow beam. The model was tested for reliability by comparing the predicted results with those obtained from the experiment in terms of the load-displacement responses, mechanical properties, and parametric responses. The result showed that the reliability of the model was questionable. The main cause of the non-reliability was the inaccurate prediction of the beam deflection by the model. The poor prediction of beam deflection led to significant variations of relevant mechanical properties including stiffness, deflection, and ductility. For beam deflection, only 1/3 of the specimens were correctly predicted with a reliability of 36% while the strength properties were discovered to have higher values as observed in the yield and the ultimate strengths with 73% and 64% respectively. However, both the model and experimental results showed the hollow beam was relatively effective when the diameter of the longitudinal void was 1/3 times the beam width and placed at the neutral axis. For the evaluation to improve the reliability, some revision including the properties of the materials, boundary conditions of the beam support, bonding conditions between different materials, and meshing shape and size suppose to be applied to the model.
Does the COVID-19 Outbreak Constitute a Force Majeure Event? A Pandemic Impact on Construction Contracts
Authors: Hansen Seng
Published: May 2020

The emergence of novel coronavirus disease 2019 (COVID-19) at the end of 2019 has transformed from an epidemic to a pandemic disaster. As of 12 April 2020, this outbreak has spread to more than 210 countries and territories and caused 108,837 deaths. The development of this outbreak has resulted in the closure of several major cities in the world (such as Wuhan, Daegu, and Manila) to country-wide lockdowns as observed in Italy and Malaysia. This also affects the construction sector as a labor-intensive industry. Force majeure has become one of the critical points of discussion, considering that this provision allows a contract party to hinder from fulfilling its obligations on the grounds that events are beyond a party’s control. Nevertheless, the application of this provision often faces challenges considering that in prior legal cases, the Courts tend to interpret this clause narrowly. Thus, it would be problematic when the force majeure clause does not include an epidemic outbreak as a force majeure event in the contract. This paper aims to explore the potential of the COVID-19 outbreak as a force majeure event in construction contracts. A qualitative approach consisting of two-step interdependent methods was done to highlight the fundamental elements of force majeure and to analyze whether the COVID-19 outbreak constitutes a force majeure event or not. Finally, a decision model was developed to assist the contracting parties in determining the COVID-19 outbreak potential as a force majeure event. This paper contributes since research related to the impacts of epidemic or pandemic outbreaks on the construction industry has not been intensified.
Excel Files for Newton’s Proposition V
Authors: Mihas Pavlos
Published: May 2020

Newton in Principia gives us a mathematical method of finding the center of force for a body moving on an ellipse in Proposition V, Problem I. The same thinking can be applied also to the case of a hyperbola and also a parabola, only that in the last case the center of force is at infinite distance. For the first two cases there are 3 cases of possible forces: a) An force proportional to the distance from the center. For ellipse an attractive force for hyperbola a repulsive, b) a force proportional to the inverse of the square of the distance from the left focus, for ellipse an attractive and for hyperbola a repulsive force, c) an attractive force inversely proportional to the square of the distance, inversely proportional to the square of the distance for both the ellipse and the hyperbola. This method when applied to the case of circular orbits for which we can find the center of force with the same method: Newton studied a semicircular orbit with center of force at infinite distance, and the case of a central force whose center is located on the circular orbit or inside the circle studied the case of a spiral orbit. In each the law of the force was derived by using the law of areas.
Flora jurásica de la Mixteca oaxaqueña: patrimonio paleobotánico de México
Authors: Lozano Carmona Diego Enrique , Velasco de León María
Published: May 2020

El Jurásico es uno de los períodos geológicos más emblemáticos y está generalmente asociado con los dinosaurios, sin embargo, la vegetación que dominó el paisaje a nivel mundial estuvo constituida por gimnospermas. En México el primer estudio sobre el registro fósil de plantas del Jurásico fue realizado a principios del siglo xx. Hoy en día se reconocen los afloramientos fosilíferos de la región Mixteca oaxaqueña como de los mejores de México por su abundancia y el buen estado de conservación de los fósiles. Con base en el estudio de éstos, se realizó una nueva propuesta paleoclimática y se actualizó la diversidad paleoflorística de la región. Hay dos localidades que sobresalen: Rosario Nuevo y Río Ñumí. La primera de ellas conserva troncos petrificados con longitudes de hasta ocho metros; mientras que la segunda presenta el listado paleoflorístico más diverso de toda la región. Todos los trabajos paleobotánicos de la Mixteca revisan el trabajo publicado por George Reber Wieland en 1914. Hoy, a más de un siglo de este estudio, podemos destacar y dar a conocer que el patrimonio paleobotánico de la Mixteca oaxaqueña es una fuente de información sobresaliente e irremplazable para la Paleontología mexicana.
Bitácora electrónica de obra pública: entre el gobierno electrónico y el abierto
Authors: Pinacho Ríos Araceli , Arturo Cruz Christian , Valencia Oscar David
Published: May 2020

Aunque el gobierno electrónico y el gobierno abierto son diferentes, hay una relación entre ambos, gracias a los aportes tecnológicos, en objetivos como la transparencia y la rendición de cuentas. Por otra parte, la Bitácora Electrónica de Seguimiento a Obra Pública (besop) es una herramienta tecnológica precisamente a cumplir esas metas. Sin embargo, no ha tenido la difusión ni el reconocimiento como una herramienta de gobierno abierto. Este ensayo busca su divulgación, para su estudio y fortalecimiento como un medio que ofrece el gobierno electrónico para la consolidación de un gobierno abierto.
El cigarrillo electrónico. Mitos y realidades. Segunda parte
Authors: Ponciano Rodríguez María Guadalupe , Chávez Castillo Carlos Alberto
Published: May 2020

Recientemente se ha presentado un crecimiento explosivo de consumidores de los Sistemas Electrónicos de Administración de Nicotina (sean), entre los cuales los cigarrillos electrónicos son los más comunes. Al principio, su uso se recomendaba para dejar de fumar, pero actualmente se han consolidado como una vía a través de la que niños y adolescentes se inician en la adicción a la nicotina. Asimismo, muchos adultos fumadores de cigarrillos de tabaco también los consumen, creando lo que se conoce como “fumador dual”. Lo peor es que son el vehículo para la inhalación de aceite de Cannabis, vitaminas liposolubles como la E, múltiples colorantes, saborizantes y aceites esenciales, además de drogas como el fentanilo.
Se cuenta con un gran número de evidencias clínicas y epidemiológicas de los efectos adversos que pueden generar los sean: daño pulmonar agudo, inflamación de garganta, tos seca, infecciones virales. A largo plazo su empleo incrementa el riesgo de Enfermedad Pulmonar Obstructiva Crónica (epoc) e infartos al miocardio. Aunado a esto, la tercera generación de sean cuenta con pilas de más alto voltaje, que tienen mayor probabilidad de explotar, provocando daños graves como fracturas, quemaduras y pérdida de falanges.
Es urgente que los consumidores conozcan los riesgos asociados al uso de vapeadores para poder tomar una decisión informada. En este artículo presentamos datos al respecto, basados en evidencias científicas.
Hubungan Dehidrasi Terhadap Memori Segera/Atensi
Authors: Bahrudin Mochamad , Nafara Annisa Bunga
Published: May 2020

Dehidrasi adalah kondisi kekurangan atau kehilangan cairan dari seluruh kompartemen tubuh. Kekurangan cairan minimal 1% dapat mempengaruhi fungsi kognitif otak termasuk penurunan kemampuan daya ingat jangka pendek. Penelitian ini untuk mengetahui hubungan dehidrasi terhadap memori segera/atensi. Rancangan penelitian dengan True Experimental, Pre test and post Test with Control Group Design dengan dua kelompok, kontrol dan kelompok perlakuan (induksi dehidrasi ringan dengan treadmil 5,6 km/jam selama 40 menit, kemudian istirahat 20 menit). Instrumen yang digunakan adalah WAIS Digit Span Backward. Analisa data menggunakan Uji Chi-Square, Mann-Whitney Test, Nonparametric Correlations Spearman’s dan uji Regression. Dari penelitian ini didapatkan hasil prosentase penurunan memori segera/atensi pada kelompok tidak dehidrasi 16,1%, kelompok dehidrasi.adalah 30,6% dan Pada Uji Chi-Square signifikansi P= 0,02. uji NP Nonparametric Correlations Spearman’s signifikansi P=0.004 artinya ada korelasi antara beratnya dehidrasi dengan penurunan memori segera/Atensi dan pada uji regressi didapat korelasi negatif artinya semakin besar nilai dehidrasi maka semakin berat derajat penurunan memori segera/Atensi. Dari penelitian ini didapatkan hubungan dehidrasi terhadap memori segera/atensi dengan korelasi negatif.
Frontmatter (Front Cover, Editorial Team, and Table of Contents)
Authors: Medika Saintika
Published: May 2020

Saintika Medika
Dominant Factors Related To Use Of Male Condoms Of Man Who Have Sex With Men In Buleleng Regency
Authors: Megaputri Putu Sukma , Sedana Ketut Putra , Widiarta Made Bayu Oka
Published: May 2020

Men who have sex with men(MSM) community had become one of the epicentrum of transmission of STIs and HIV / AIDS. The results of an integrated survey of biological behavior of MSM condom use are only less than 50%. The objective of this study is to determine the most dominant factors increasing condom use in MSM. Survey Cross sectional study on MSM with a sample of 58 people selected by snowball sampling when MSM examined the Buleleng Health Center 1. Data collection was done by interviewing a questionnaire related to: social demographic characteristics, internal, external factors, negotiation and condom use. Data were analyzed by chi square followed by logistic regression using software. The study found that several factors related to condom use in MSM namely marital status showed that the respondents were unmarried (AOR: 9.5, 96% CI 1.5-59.7). Then the perception of high MSM susceptibility was also related to condom use (AOR: 6.5, 96% CI 1.3-33.3). Subsequently the availability of condoms on site and carried by MSM (AOR: 6.8, 96% CI 1.1-45.6). Factors related to condom use in MSM in Buleleng Regency are unmarried status, condom availability and perceived susceptibility.
Epidermolysis Bullosa Acquisita Occuring In A Patient With Systemic Lupus Erythematosus
Authors: Setyowatie Lita , Rahmawati Yustian Devika , Widiatmoko Arif , Retnani Diah Prabawati
Published: May 2020

Epidermolysis Bullosa Acquisita (EBA) is a rare, chronic autoimmune subepidermal bullous disease and has been noted to be associated with systemic lupus erythematosus (SLE). The incidence of EBA and SLE in one patient within the period of 1980-1990 found only 7 published case reports. A 23 years old woman with exfoliate skin since 12 years ago. Initially itchy on her buttock then appeared small blister. Blister spread almost the entire body and rupture. This complaint got worsening in a year accompanied with hair loss, weight loss, and oral ulcer. Dermatological examination showed patch eritematosa, hyperpigmentation, hypopigmentation, erotion with erythematous base, yellow brownish crust. Also obtained sclerodactyli toes and nail fingers. Laboratory examination anemia gravis, hypoalbuminemia, Coombs test +2, ANA Test negatif, dsDNA IgG 32,80. Histopathology examination showed blister subepidermal, no vacuolar degeneration, no superficial and deep infiltrat, and minimal lymphocyte. Patient had diagnosed SLE from Internal Department based on MEX-SLEDAI score. The patient was treated with metylprednisolone intravenous pulse dose 500 mg on 3 days then tappering off and wound care. Epidermolysis Bullosa Acquisita immunogenetically related with MHC class II haplotype in particular  HLA-DR2. This factor suggest playing role in the development of  EBA to express more aggresive SLE.
Bioconversion performance and development of black soldier fly (Hermetia illucens L.) on treated cocoa pod husk
Authors: YUSUP Ciptadi Achmad , PRAKOSO Haryo Tejo , SISWANTO . , ERIS Deden Dewantara
Published: May 2020

Indonesia is the third largest cocoa producer in the world, thus the number of cocoa pod husk (CPH) resulted from this activity is abundant. To handle this waste, farmer usually uses it directly as a feed source to small ruminants but this practice is less effective due to its low protein content and it also contains a substantial amount of lignin. Black Soldier Fly (BSF) (Hermetia illucens L.) (Diptera: Stratiomyidae) larvae are known as bioconversion agents that can be fed upon various organic substrates and they are also high protein source. The aim of this research was to evaluate the possibility of BSF grown on CPH based on their relative growth rate (RGR), efficiency of conversion of ingested food (ECI), waste reduction index (WRI), and development time. Body size of the imago from each treatment was also measured. Larvae were fed with fresh CPH (F), fresh blended CPH (B), composted CPH (C), mix of fresh CPH with food waste (F+FW) and mix of composted CPH with food waste (C+FW). Food waste served as a control. The results of this study show that the most ideal treatment that possible to be applied in cocoa plantation was C+FW treatmentwhich gave average prepupal fresh weight of 11.20 g/100 larvae with 18 days of development time. This treatment had the highest value of WRI and RGR among all treatments. Composted CPH that mixed with food waste treatment also had a shorter development time of BSF larvae.
Failed Genetic Protection: Type 1 Diabetes in the presence of HLA-DQB1*06:02
Authors: Admin Ada , Simmons Kimber M. , Mitchell Angela M. , Alkanani Aimon A. , McDaniel Kristen A. , Baschal Erin E. , Armstrong Taylor , Pyle Laura , Yu Liping , Michels Aaron W.
Published: May 2020

Certain human leucocyte antigen (HLA) class II genes
increase the risk for type 1 diabetes (T1D) development while others provide
protection from disease development. HLA class II alleles encode major histocompatibility
complex proteins on antigen presenting cells, which function to present
peptides and activate CD4 T-cells. The DRB1*15:01 (DR15)-DQA1*01:02-DQB1*06:02 (DQ6)
haplotype provides dominant protection across all stages of T1D and is a common
haplotype found in Caucasians but present in <1% of people with T1D. Knowing
which metabolic, immunologic and genetic features are unique to individuals who
fail genetic protection and develop T1D is important for defining the
underlying mechanisms of DQB1*06:02-mediated
protection. We describe a T1D cohort with DQB1*06:02
(n=50) and compare them to individuals with T1D and without DQB1*06:02 (n=2,759) that were
identified over the last 26 years at the Barbara Davis Center for Diabetes. The
age at diagnosis was similar between the cohorts and normally distributed throughout
childhood and early adulthood. The average hemoglobin A1c was 10.8 ± 2.8% (95 ±
7mmol/mol) at diagnosis in those DQB1*06:02+.
The majority of T1D DQB1*06:02+
individuals were positive for one or more islet autoantibodies; however, there
was a greater proportion that were islet autoantibody negative compared to
those T1D DQB1*06:02- individuals. Interestingly,
DQB1*03:02, which confers significant
T1D risk, was only present in those DQB1*06:02+
individuals with islet autoantibodies. This is one of the largest studies
examining patients presenting with clinical T1D in the presence of DQB1*06:02, which provides a population to
study the mechanisms of failed genetic protection against T1D.
Investigation into laser refurbishment and transformation hardening of cast iron forming dies for the automotive industry
Authors: Theron Maritha , van Rooyen Corney , Malabi Khoro
Published: May 2020

Forming dies used in the automotive industry are shaped as such that they impart a predetermined contour or a profile to the workpiece. Due to subsequent assembly requirements of sheet-formed body structure components, the dimensional accuracy of the components is of vital importance. The dimensional accuracy of the forming dies is, therefore, of equal importance. The sheet metal forming process involves severe contact conditions, with the draw die radius generally being the most affected zone. Due to intense local tribological conditions, wear damage is observed. The possible laser refurbishment of wear damaged cast iron die radii as well as laser transformation hardening of these areas have been investigated. The refurbishment is seen as a remedy to an existing problem and transformation hardening as a precautionary wear-inhibiting solution to the problem. Due to the high carbon content of the cast iron and the dilution—although low—obtained during the cladding process, the resulting build-up susceptibility to cracking can be high. A stainless steel buffer layer between the die substrate and the overlay material was introduced. It was found that the H11 overlay material hardness complied with the specific requirement. The laser transformation hardening was studied at different parameter sets to obtain the required surface hardness, and laser hardening was successfully implemented on a forming die that was put in service.
Evaluation of hot cracking susceptibility on laser welded aluminum alloy using coaxially arranged multiple-beam laser
Authors: Kang Minjung , Kim Cheolhee
Published: May 2020

Dual-beam laser welding using an adjustable ring mode (ARM) fiber laser was implemented to evaluate weld bead characteristics and hot cracking susceptibility. An ARM laser with dual beams having diameters of 175 and 450 μm was implemented in the focal position. By controlling the core laser power (700–1800 W) and ring laser power (0–1100 W), respectively, full penetration welds were achieved for a 1 mm-thick Al 6014-T4 alloy even at a high welding speed of 120 mm/s under a total laser power of 1800 W. High welding speed enabled a small molten area and a narrow equiaxed dendrite structure along the bead center, which reduced hot cracking susceptibility.
El capital estructural y su relación con el desempeño en educación superior
Authors: Lavín Verástegui Jesús
Published: May 2020

El objetivo del presente estudio fue analizar la relación del capital estructural y el desempeño en escuelas de educación superior. Para ello, se llevó a cabo un estudio de naturaleza cuantitativa y se aplicó un cuestionario al personal de instituciones de educación superior. La muestra estuvo conformada por 84 participantes. Mediante la técnica de análisis factorial exploratorio, se identificó la estructura subyacente de los constructos de interés y por medio del coeficiente de correlación se determinó la asociación entre las variables de capital estructural y desempeño. Se determinó que existe una correlación positiva y significativa del capital estructural con las dimensiones del desempeño: calidad educativa y eficacia-innovación. Estos hallazgos son relevantes porque dan pauta a la gestión directiva de las instituciones analizadas sobre la trascendencia de implementar prácticas de diseño y técnicas de organización relacionadas con la estructura formal de las escuelas, lo que brinda beneficios al desempeño organizacional.
A Novel Approach for Stock Price Prediction Using Gradient Boosting Machine with Feature Engineering (GBM-wFE)
Authors: Nabi Rebwar M. , Ab. M. Saeed Soran , Harron Habibollah
Published: May 2020

The prediction of stock prices has become an exciting area for researchers as well as academicians due to its economic impact and potential business profits. This study proposes a novel multiclass classification ensemble learning approach for predicting stock prices based on historical data using feature engineering. The proposed approach comprises four main steps, which are pre-processing, feature selection, feature engineering, and ensemble methods. We use 11 datasets from Nasdaq and S&P 500 to ensure the accuracy of the proposed approach. Furthermore, eight feature selection algorithms are studied and implemented. More importantly, a feature engineering concept is applied to construct two new features, which are appears to be very auspicious in terms of improving classification accuracy, and this is considered the first study to use feature engineering for multiclass classification using ensemble methods. Finally, seven ensemble machine learning (ML) algorithms are used and compared to discover the ultimate collaboration prediction model. Besides, the best feature selection algorithm is proposed. This study proposes a novel multiclass classification approach called Gradient Boosting Machine with Feature Engineering (GBM-wFE) and Principal Component Analysis (PCA) as the feature selection. We find that GBM-wFE outperforms the previous studies and the overall prediction results are auspicious, as MAPE of 0.0406% is achieved, which is considered the best result compared to the available studies in the literature.