bluuebunny/crossref_metadata_2025 huggingface dataset:
Influence of Sociolinguistic Factors on Grammatical Competence of Lithuanian Used by Students Enrolled in Russian Gymnasiums
Authors: Bružaitė-Liseckienė Justina
Published: June 2020

This article investigates the influence of sociolinguistic factors on the Lithuanian language grammatical competence of 11th grade (3rd gymnasium grade) students enrolled in Russian gymnasiums. The data of the study were collected in four high schools in Vilnius, where the language of instruction is Russian. 179 students participated in the study. To measure the grammatical competence of object marking in the Lithuanian language the Elicited Oral Imitation Test (Erlam 2006) and the task of narrative writing were used. A sociolinguistic questionnaire focused on the age of onset of Lithuanian and the linguistic behavior of students. The data were analyzed with R (R Core Team, 2013). Linear mixed effects models (LMM) were used to explore the relationship between sociolinguistic factors and students’ grammatical competence of the Lithuanian language. The results of LMM revealed that the students’ age of onset of Lithuanian affected their correctness in marking grammatical objects in Lithuanian. Students, who learned Lithuanian before the age of 4 performed better in the tasks than students who learned the language at the age of 6 or later. A strong positive correlation between the semestral grade of the Lithuanian language and literature at schools and students’ grammatical competence was also noticed. However, almost no factors of students’ linguistic behavior were significant in the analysis.
Bacterial Community Composition in Produced Water of Diyarbakır Oil Fields in Turkey
Authors: Tüccar Tuğçe , Ilhan-Sungur Esra , Muyzer Gerard
Published: June 2020

Oil fields harbour a wide variety of microorganisms with different metabolic capabilities. To examine the microbial ecology of petroleum reservoirs, a molecular-based approach was used to assess the composition of bacterial communities in produced water of Diyarbakır oil fields in Turkey. Denaturing gradient gel electrophoresis (DGGE) of polymerase chain reaction (PCR)-amplified 16S rRNA gene fragments was performed to characterise the bacterial community structure of produced water samples and to identify predominant community members after sequencing of separated DGGE bands. The majority of bacterial sequences retrieved from DGGE analysis of produced water samples belonged to unclassified bacteria (50%). Among the classified bacteria,Proteobacteria(29.2%),Firmicutes(8.3%),Bacteroidetes(8.3%) andActinobacteria(4.2%) groups were identified.Pseudomonaswas the dominant genus detected in the produced water samples. The results of this research provide, for the first time, insight into the complexity of microbial communities in the Diyarbakır oil reservoirs and their dominant constituents.
Electrodeposition of Iridium-Nickel Thin Films on Copper Foam: Effects of Loading and Solution Temperature on Hydrogen Evolution Reaction Performance of Electrocatalyst in Alkaline Water
Authors: Liu Jianwen , Wu Wangping , Wang Xiang , Zhang Yi
Published: June 2020

Developing novel hydrogen evolution reaction (HER) catalysts with high activity, high stability and low cost is of great importance for the applications of hydrogen energy. In this work, iridium-nickel thin films were electrodeposited on a copper foam as electrocatalyst for HER, and electrodeposition mechanism of iridium-nickel film was studied. The morphology and chemical composition of thin films were determined by scanning electron microscopy (SEM) and energy-dispersive spectroscopy (EDS), respectively. The electrocatalytic performances of the films were estimated by linear sweep voltammograms (LSV), electrochemical impedance spectroscopy (EIS) and cyclic voltammetry (CV). The results show that iridium-nickel thin films were attached to the substrate of porous structure and hollow topography. The deposition of nickel was preferable in the electrolyte without the addition of additives, and the iridium-nickel thin film was alloyed, resulting in a high deposition rate for Ir42Ni58 thin film, and subsequently an increase of iridium content in the thin films of Ir80Ni20 and Ir88Ni12. Iridium-nickel thin films with Tafel slopes of 40–49 mV dec–1 exhibited highly efficient electrocatalytic activity for HER. The electrocatalytic activity of iridium-nickel thin films showed a loading dependence. As the solution temperature increased from 20°C to 60°C, the hydrogen evolution performance of iridium-nickel thin films improved. The apparent activation energy value of Ir88Ni12 film was 7.1 kJ mol–1. Long-term hydrogen evolution tests exhibited excellent electrocatalytic stability in alkaline solution.
Cross-Modal Attention Network for Temporal Inconsistent Audio-Visual Event Localization
Authors: Xuan Hanyu , Zhang Zhenyu , Chen Shuo , Yang Jian , Yan Yan
Published: June 2020

In human multi-modality perception systems, the benefits of integrating auditory and visual information are extensive as they provide plenty supplementary cues for understanding the events. Despite some recent methods proposed for such application, they cannot deal with practical conditions with temporal inconsistency. Inspired by human system which puts different focuses at specific locations, time segments and media while performing multi-modality perception, we provide an attention-based method to simulate such process. Similar to human mechanism, our network can adaptively select “where” to attend, “when” to attend and “which” to attend for audio-visual event localization. In this way, even with large temporal inconsistent between vision and audio, our network is able to adaptively trade information between different modalities and successfully achieve event localization. Our method achieves state-of-the-art performance on AVE (Audio-Visual Event) dataset collected in the real life. In addition, we also systemically investigate audio-visual event localization tasks. The visualization results also help us better understand how our model works.
Table2Analysis: Modeling and Recommendation of Common Analysis Patterns for Multi-Dimensional Data
Authors: Zhou Mengyu , Tao Wang , Pengxin Ji , Shi Han , Dongmei Zhang
Published: June 2020

Given a table of multi-dimensional data, what analyses would human create to extract information from it? From scientific exploration to business intelligence (BI), this is a key problem to solve towards automation of knowledge discovery and decision making. In this paper, we propose Table2Analysis to learn commonly conducted analysis patterns from large amount of (table, analysis) pairs, and recommend analyses for any given table even not seen before. Multi-dimensional data as input challenges existing model architectures and training techniques to fulfill the task. Based on deep Q-learning with heuristic search, Table2Analysis does table to sequence generation, with each sequence encoding an analysis. Table2Analysis has 0.78 recall at top-5 and 0.65 recall at top-1 in our evaluation against a large scale spreadsheet corpus on the PivotTable recommendation task.
Crisis-DIAS: Towards Multimodal Damage Analysis - Deployment, Challenges and Assessment
Authors: Agarwal Mansi , Leekha Maitree , Sawhney Ramit , Shah Rajiv Ratn
Published: June 2020

In times of a disaster, the information available on social media can be useful for several humanitarian tasks as disseminating messages on social media is quick and easily accessible. Disaster damage assessment is inherently multi-modal, yet most existing work on damage identification has focused solely on building generic classification models that rely exclusively on text or image analysis of online social media sessions (e.g., posts). Despite their empirical success, these efforts ignore the multi-modal information manifested in social media data. Conventionally, when information from various modalities is presented together, it often exhibits complementary insights about the application domain and facilitates better learning performance. In this work, we present Crisis-DIAS, a multi-modal sequential damage identification, and severity detection system. We aim to support disaster management and aid in planning by analyzing and exploiting the impact of linguistic cues on a unimodal visual system. Through extensive qualitative, quantitative and theoretical analysis on a real-world multi-modal social media dataset, we show that the Crisis-DIAS framework is superior to the state-of-the-art damage assessment models in terms of bias, responsiveness, computational efficiency, and assessment performance.
Detecting and Tracking Communal Bird Roosts in Weather Radar Data
Authors: Cheng Zezhou , Gabriel Saadia , Bhambhani Pankaj , Sheldon Daniel , Maji Subhransu , Laughlin Andrew , Winkler David
Published: June 2020

The US weather radar archive holds detailed information about biological phenomena in the atmosphere over the last 20 years. Communally roosting birds congregate in large numbers at nighttime roosting locations, and their morning exodus from the roost is often visible as a distinctive pattern in radar images. This paper describes a machine learning system to detect and track roost signatures in weather radar data. A significant challenge is that labels were collected opportunistically from previous research studies and there are systematic differences in labeling style. We contribute a latent-variable model and EM algorithm to learn a detection model together with models of labeling styles for individual annotators. By properly accounting for these variations we learn a significantly more accurate detector. The resulting system detects previously unknown roosting locations and provides comprehensive spatio-temporal data about roosts across the US. This data will provide biologists important information about the poorly understood phenomena of broad-scale habitat use and movements of communally roosting birds during the non-breeding season.
Inferring Nighttime Satellite Imagery from Human Mobility
Authors: Dickinson Brian , Ghoshal Gourab , Dotiwalla Xerxes , Sadilek Adam , Kautz Henry
Published: June 2020

Nighttime lights satellite imagery has been used for decades as a uniform, global source of data for studying a wide range of socioeconomic factors. Recently, another more terrestrial source is producing data with similarly uniform global coverage: anonymous and aggregated smart phone location. This data, which measures the movement patterns of people and populations rather than the light they produce, could prove just as valuable in decades to come. In fact, since human mobility is far more directly related to the socioeconomic variables being predicted, it has an even greater potential. Additionally, since cell phone locations can be aggregated in real time while preserving individual user privacy, it will be possible to conduct studies that would previously have been impossible because they require data from the present. Of course, it will take quite some time to establish the new techniques necessary to apply human mobility data to problems traditionally studied with satellite imagery and to conceptualize and develop new real time applications. In this study we demonstrate that it is possible to accelerate this process by inferring artificial nighttime satellite imagery from human mobility data, while maintaining a strong differential privacy guarantee. We also show that these artificial maps can be used to infer socioeconomic variables, often with greater accuracy than using actual satellite imagery. Along the way, we find that the relationship between mobility and light emissions is both nonlinear and varies considerably around the globe. Finally, we show that models based on human mobility can significantly improve our understanding of society at a global scale.
Faking Fairness via Stealthily Biased Sampling
Authors: Fukuchi Kazuto , Hara Satoshi , Maehara Takanori
Published: June 2020

Auditing fairness of decision-makers is now in high demand. To respond to this social demand, several fairness auditing tools have been developed. The focus of this study is to raise an awareness of the risk of malicious decision-makers who fake fairness by abusing the auditing tools and thereby deceiving the social communities. The question is whether such a fraud of the decision-maker is detectable so that the society can avoid the risk of fake fairness. In this study, we answer this question negatively. We specifically put our focus on a situation where the decision-maker publishes a benchmark dataset as the evidence of his/her fairness and attempts to deceive a person who uses an auditing tool that computes a fairness metric. To assess the (un)detectability of the fraud, we explicitly construct an algorithm, the stealthily biased sampling, that can deliberately construct an evil benchmark dataset via subsampling. We show that the fraud made by the stealthily based sampling is indeed difficult to detect both theoretically and empirically.
The Unreasonable Effectiveness of Inverse Reinforcement Learning in Advancing Cancer Research
Authors: Kalantari John , Nelson Heidi , Chia Nicholas
Published: June 2020

The “No Free Lunch” theorem states that for any algorithm, elevated performance over one class of problems is offset by its performance over another. Stated differently, no algorithm works for everything. Instead, designing effective algorithms often means exploiting prior knowledge of data relationships specific to a given problem. This “unreasonable efficacy” is especially desirable for complex and seemingly intractable problems in the natural sciences. One such area that is rife with the need for better algorithms is cancer biology—a field where relatively few insights are being generated from relatively large amounts of data. In part, this is due to the inability of mere statistics to reflect cancer as a genetic evolutionary process—one that involves cells actively mutating in order to navigate host barriers, outcompete neighboring cells, and expand spatially.Our work is built upon the central proposition that the Markov Decision Process (MDP) can better represent the process by which cancer arises and progresses. More specifically, by encoding a cancer cell's complex behavior as a MDP, we seek to model the series of genetic changes, or evolutionary trajectory, that leads to cancer as an optimal decision process. We posit that using an Inverse Reinforcement Learning (IRL) approach will enable us to reverse engineer an optimal policy and reward function based on a set of “expert demonstrations” extracted from the DNA of patient tumors. The inferred reward function and optimal policy can subsequently be used to extrapolate the evolutionary trajectory of any tumor. Here, we introduce a Bayesian nonparametric IRL model (PUR-IRL) where the number of reward functions is a priori unbounded in order to account for uncertainty in cancer data, i.e., the existence of latent trajectories and non-uniform sampling. We show that PUR-IRL is “unreasonably effective” in gaining interpretable and intuitive insights about cancer progression from high-dimensional genome data.
Automatically Neutralizing Subjective Bias in Text
Authors: Pryzant Reid , Diehl Martinez Richard , Dass Nathan , Kurohashi Sadao , Jurafsky Dan , Yang Diyi
Published: June 2020

Texts like news, encyclopedias, and some social media strive for objectivity. Yet bias in the form of inappropriate subjectivity — introducing attitudes via framing, presupposing truth, and casting doubt — remains ubiquitous. This kind of bias erodes our collective trust and fuels social conflict. To address this issue, we introduce a novel testbed for natural language generation: automatically bringing inappropriately subjective text into a neutral point of view (“neutralizing” biased text). We also offer the first parallel corpus of biased language. The corpus contains 180,000 sentence pairs and originates from Wikipedia edits that removed various framings, presuppositions, and attitudes from biased sentences. Last, we propose two strong encoder-decoder baselines for the task. A straightforward yet opaque concurrent system uses a BERT encoder to identify subjective words as part of the generation process. An interpretable and controllable modular algorithm separates these steps, using (1) a BERT-based classifier to identify problematic words and (2) a novel join embedding through which the classifier can edit the hidden states of the encoder. Large-scale human evaluation across four domains (encyclopedias, news headlines, books, and political speeches) suggests that these algorithms are a first step towards the automatic identification and reduction of bias.
On Identifying Hashtags in Disaster Twitter Data
Authors: Ray Chowdhury Jishnu , Caragea Cornelia , Caragea Doina
Published: June 2020

Tweet hashtags have the potential to improve the search for information during disaster events. However, there is a large number of disaster-related tweets that do not have any user-provided hashtags. Moreover, only a small number of tweets that contain actionable hashtags are useful for disaster response. To facilitate progress on automatic identification (or extraction) of disaster hashtags for Twitter data, we construct a unique dataset of disaster-related tweets annotated with hashtags useful for filtering actionable information. Using this dataset, we further investigate Long Short-Term Memory-based models within a Multi-Task Learning framework. The best performing model achieves an F1-score as high as $92.22%$. The dataset, code, and other resources are available on Github.1
Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks
Authors: Bian Tian , Xiao Xi , Xu Tingyang , Zhao Peilin , Huang Wenbing , Rong Yu , Huang Junzhou
Published: June 2020

Social media has been developing rapidly in public due to its nature of spreading new information, which leads to rumors being circulated. Meanwhile, detecting rumors from such massive information in social media is becoming an arduous challenge. Therefore, some deep learning methods are applied to discover rumors through the way they spread, such as Recursive Neural Network (RvNN) and so on. However, these deep learning methods only take into account the patterns of deep propagation but ignore the structures of wide dispersion in rumor detection. Actually, propagation and dispersion are two crucial characteristics of rumors. In this paper, we propose a novel bi-directional graph model, named Bi-Directional Graph Convolutional Networks (Bi-GCN), to explore both characteristics by operating on both top-down and bottom-up propagation of rumors. It leverages a GCN with a top-down directed graph of rumor spreading to learn the patterns of rumor propagation; and a GCN with an opposite directed graph of rumor diffusion to capture the structures of rumor dispersion. Moreover, the information from source post is involved in each layer of GCN to enhance the influences from the roots of rumors. Encouraging empirical results on several benchmarks confirm the superiority of the proposed method over the state-of-the-art approaches.
TrueLearn: A Family of Bayesian Algorithms to Match Lifelong Learners to Open Educational Resources
Authors: Bulathwela Sahan , Perez-Ortiz Maria , Yilmaz Emine , Shawe-Taylor John
Published: June 2020

The recent advances in computer-assisted learning systems and the availability of open educational resources today promise a pathway to providing cost-efficient high-quality education to large masses of learners. One of the most ambitious use cases of computer-assisted learning is to build a lifelong learning recommendation system. Unlike short-term courses, lifelong learning presents unique challenges, requiring sophisticated recommendation models that account for a wide range of factors such as background knowledge of learners or novelty of the material while effectively maintaining knowledge states of masses of learners for significantly longer periods of time (ideally, a lifetime). This work presents the foundations towards building a dynamic, scalable and transparent recommendation system for education, modelling learner's knowledge from implicit data in the form of engagement with open educational resources. We i) use a text ontology based on Wikipedia to automatically extract knowledge components of educational resources and, ii) propose a set of online Bayesian strategies inspired by the well-known areas of item response theory and knowledge tracing. Our proposal, TrueLearn, focuses on recommendations for which the learner has enough background knowledge (so they are able to understand and learn from the material), and the material has enough novelty that would help the learner improve their knowledge about the subject and keep them engaged. We further construct a large open educational video lectures dataset and test the performance of the proposed algorithms, which show clear promise towards building an effective educational recommendation system.
Real-Time Route Search by Locations
Authors: Chen Lisi , Shang Shuo , Guo Tao
Published: June 2020

With the proliferation of GPS-based data (e.g., routes and trajectories), it is of great importance to enable the functionality of real-time route search and recommendations. We define and study a novel Continuous Route-Search-by-Location (C-RSL) problem to enable real-time route search by locations for a large number of users over route data streams. Given a set of C-RSL queries where each query q contains a set of places q.O to visit and a threshold q.θ, we continuously feed each query q with routes that has similarity to q.O no less than q.θ. We also extend our proposal to support top-k C-RSL problem where each query continuously maintains k most similar routes. The C-RSL problem targets a variety of applications, including real-time route planning, ridesharing, and other location-based services that have real-time demand. To enable efficient route matching on a large number of C-RSL queries, we develop novel parallel route matching algorithms with good time complexity. Extensive experiments with real data offer insight into the performance of our algorithms, indicating that our proposal is capable of achieving high efficiency and scalability.
Flora palinológica de los helechos y licofitas de Río Malila, Hidalgo, México
Authors: Gómez-Noguez Felipe , Pérez-García Blanca , Mendoza-Ruiz Aniceto , Orozco-Segovia Alma
Published: June 2020

Se presentan datos relativos a la morfología de las esporas de 36 especies de helechos y tres licofitas presentes en la localidad de Río Malila, municipio de Molango de Escamilla, en el estado de Hidalgo, México. Los taxa estudiados corresponden a 27 géneros y 14 familias. Las esporas de Ctenitis equestris, Elaphoglossum obscurum, Pecluma sursumcurrens y Polystichum turrialbae se describen por primera vez. Las descripciones palinológicas se realizaron con base en observaciones de material fresco y con microscopía de luz y/o electrónica de barrido y se incluyen imágenes para cada uno de los taxa estudiados. Como resultado se elaboró una clave dicotómica para la identificación de las especies presentes en la zona a partir de sus esporas. El conocimiento palinológico de los helechos puede contribuir a resolver problemas taxonómicos del grupo, ayudar en el diagnóstico oportuno de poblaciones en riesgo y facilitar posteriores estudios aerobiológicos de las pteridofitas, desde la identificación de esporas presentes en el aire, la determinación de patrones fenológicos de comunidades, la dispersión de esporas en diferentes condiciones meteorológicas y ambientales, hasta su posible efecto en la salud de otros organismos.
Unscrambling jurisdiction under the PEPUDA
Authors: Geldenhuys Judith , Kelly-Louw Michelle
Published: June 2020

The jurisdiction, or competence of the Equality Court to hear a dispute concerning alleged hate speech is affected by various jurisdictional factors. The decision in South African Human Rights Commission v Khumalo EQ6-2016, EQ1-2018 2018 ZAGPJHC 528; 2019 1 SA 289 (GJ); 2019 1 All SA 254 (GJ) reveals several shortcomings in the provisions regulating jurisdiction in the Promotion of Equality and Prevention of Unfair Discrimination Act 4 of 2000 which must be attended to in order to provide clarity and legitimacy in regard to the application of the protection against hate speech.
Lo burlesco en tres poemas coloniales de la Nueva Granada
Authors: Molina Morales Guillermo
Published: June 2020

La crítica tradicional ha priorizado el estudio de la poesía seria y, dentro de las estéticas de la risa, de la sátira, por sus implicaciones extraliterarias. En este contexto, la poesía burlesca, definida por su juego con la materialidad del lenguaje, constituye una tradición marginal, a pesar de su vitalidad y de sus convergencias con la poesía moderna. El presente artículo de investigación, que toma como punto de partida las categorías establecidas por Alfonso Reyes, analiza tres poemas neogranadinos del siglo XVIII que representan distintas manifestaciones de lo burlesco. Las “Coplas del baile de las brujas” utilizan los recursos de la cultura popular, incluyendo la jitanjáfora, para transmitir una denuncia sociopolítica. La “Felicitación” de Francisco Antonio Rodríguez explora las posibilidades de la polisemia para liberar las palabras de su univocidad, con lo que llega al disparate. Por último, “Para dar días o noches”, de Francisco Javier Caro, evidencia la creación de neologismos por sus resonancias acústicas. En la conclusión se discute el carácter subversivo o acomodaticio de las muestras estudiadas, así como la necesidad de redescubrir la vertiente burlesca del homo ludens en sus producciones literarias.
Representación de los indígenas en las leyes generales de educación de Colombia
Authors: Guerrero Rivera Javier , Soler Castillo Sandra
Published: June 2020

Este artículo de investigación explora la relación entre educación, discurso legal y racismo. Desde los estudios críticos del discurso, se analizan las tres leyes generales de educación de Colombia y los textos jurídicos y políticos que las sustentan, con el objetivo de develar las estructuras y estrategias discursivas empleadas para representar a los indígenas a lo largo del periodo comprendido entre 1870 y 1994. Se argumenta que ha habido una invisibilización en la representación de los indígenas como actores sociales del país y que cuando se han representado ha sido como sujetos carentes: salvajes, incivilizados e incluso inhumanos. El ideal de educación que trazan las tres leyes se presenta como una opción homogeneizadora que busca, mediante acciones como reducir, evangelizar o civilizar, sacarlos de la deficitaria condición en que se encuentran y conducirlos por la senda del desarrollo y el progreso social, económico y cultural, argumentos presentados como ideales comunes.
Formación de maestros en educación infantil: revisión de tendencias investigativas
Authors: Acosta Marroquín Nadia Paola
Published: June 2020

El presente artículo de revisión da cuenta de una parte del estado del arte realizado para el desarrollo de la tesis doctoral titulada “Configuración del campo profesional de la educación infantil en Colombia, 1976 a 2015”, investigación que busca problematizar los procesos por los que ha transitado la formación de los maestros de educación infantil (EI). Aquí se presenta una revisión bibliográfica sobre las perspectivas desde las cuales ha sido trabajada la formación de maestros en EI, ejercicio que ha permitido comprender la configuración del campo profesional de docentes dedicados a esta labor. A partir de esta revisión se establecen unas tendencias que evidencian posturas teóricas, analíticas y metodológicas, las cuales dan relevancia a la historia, la normatividad, el conocimiento profesional del educador infantil, así como las competencias y la calidad de la educación. Además, este análisis permite reconocer la pertinencia de la investigación planteada y la necesidad de comprender el objeto de estudio desde una perspectiva reflexiva y crítica.
Una mirada pedagógica a los laboratorios ciudadanos en Medellín, Colombia
Authors: Uribe Zapata Alejandro
Published: June 2020

Este artículo de investigación analiza desde un prisma pedagógico una serie de laboratorios ciudadanos asentados en Medellín-Colombia. Se emplea un diseño cualitativo en el que las fuentes de información son las entrevistas semiestructuradas, la observación participante y la revisión de las páginas web y redes sociales de los laboratorios seleccionados. Los resultados fueron cincocategorías emergentes: encargados, públicos, contenidos, metodologías y lugares. Las conclusiones muestran cómo los encargados de este tipo de prácticas se convierten en aprendices, artesanos y aficionados constructivistas; los públicos se sectorizan a pesar de estar abiertos a la ciudadanía en general; los contenidos refuerzan los temas de cultura digital y están alejados del currículo escolar;las metodologías se inspiran en la cultura libre, el movimiento DIY/DIWO/DITO y la ética hacker; y los espacios físicos emulan el espíritu del taller.
Antropología pedagógica: de las imágenes del hombre a la búsqueda de sentido
Authors: Saavedra Rey Liliana , Saavedra Rey Sneider
Published: June 2020

En el marco de la tradición alemana y sus ciencias del espíritu, la antropología pedagógica se enfoca en el ser humano en cuanto es educable (homo educandus) de acuerdo con su apertura al mundo y condición dúctil (formabilidad), para así lograr tanto su socialización (educación) como su personalización (formación). A pesar de la importancia de estos propósitos de humanizaciónpara cualquier práctica educativa, esta disciplina ha tenido una difusión limitada en la discusión pedagógica en Colombia, debido al interés instrumental en los componentes del sistema educativo, obviando así al ser humano real que se pretende formar. En respuesta, este artículo de investigaciónplantea la relevancia de esta disciplina para el campo conceptual de la pedagogía desde su análisis histórico; sus fundamentos antropológicos y pedagógicos centrados en el anthropos como un ser de mediaciones, perfectible y simbólico; y sus objetivos de educar y formar desde las imágenes del hombre, hasta actualizarlos en el sentido singular que cada persona en sus circunstanciasconcretas construye en el despliegue de su existencia.
La pedagogía como registro. Reflexiones a partir del diálogo entre estética, pedagogía y transmisión
Authors: Fattore Natalia Mariné
Published: June 2020

Este artículo es un ejercicio de reflexión acerca de la configuración del campo pedagógico, su crisis y la necesidad de repensar sus bordes y definiciones. Estas reflexiones surgen a partir de un trabajo de investigación doctoral que se propuso explorar los encuentros, las tensiones y los cruces de las dimensiones pedagógicas, políticas y estéticas en torno a las formas en que el Estadoensaya la transmisión del sentimiento nacional en el marco de dos fiestas patrias: las fiestas del Centenario y del Bicentenario de la Revolución de Mayo en Argentina. Dicha investigación nos llevó a trabajar dos cuestiones que aquí queremos presentar. Por un lado, la necesidad de un abordaje de la pedagogía “entre disciplinas”, una pedagogía que se construya contra toda formade frontera disciplinar, o mejor, haciendo de esas fronteras un lugar para el pensamiento. En segundo lugar, la exploración de una hipótesis de trabajo: la de pensar a la pedagogía no como una disciplina, sino como un registro conceptual y un registro de observación, un modo particular de consignar e interrogar categorías, objetos, prácticas y sujetos. Finalmente, nos interesa poner a funcionar esa hipótesis en el caso concreto desarrollado en el trabajo de tesis mencionado.
Movimientos juveniles: incidencias en la constitución del sujeto adolescente
Authors: Gageiro Coutinho Luciana
Published: June 2020

Este texto abordar la operación de la adolescencia en el contexto de los movimientos sociales que tienen como característica subvertir discursos estatuidos. El trabajo de la adolescencia implica transformar lo que se ha recibido como herencia simbólica haciendo posible alguna apropiación singular de eso, incluso siempre marcada por algo de lo real que la trasciende y supera. El movimiento social que sirve de base para la discusión en el texto fue el denominado “ocupa escuela” reconocido como movimiento de las ocupaciones de escuelas por estudiantes de secundaria en Brasil entre el 2015 y el 2017 el análisis de ese movimiento es cruzado con hallazgos realizados en una investigación con adolescentes en Latinoamérica sobre nominación y cambios de nombres.
Political Activity of Kwiek ‘Dynasty’ in the Second Polish Republic in the Years 1935–1939
Authors: Gontarek Alicja
Published: June 2020

The coronation of King Janusz Kwiek, which took place in 1937, was meant to integrate the Romani elite in the interwar sociopolitical life of Poland. Unfortunately, the creation of a homogeneous and centralized Romani representation through the royal institution ended in a fiasco. Firstly, the centralized model of power was in conflict with the Romani nomadic system in Poland, which was based on a multitude of leaders, including women whose power resulted from hierarchical dependence. Secondly, it quickly became clear that from the mid-1920s onward, when the presence of Polish Romani in mainstream social life crystallized, there has been no bottom–up social initiatives promoting King Janusz Kwiek’s attempts towards sociopolitical reform. Therefore, the Romani population was not prepared for changes and no effective state coercive measures were created to enforce the introduction of the postulated changes. Thus, although the activities of both actors—the Kwieks and the Polish authorities—often had a facade character, consisting in more or less weak ‘governance’ of the Romani minority, their joint activity favored the political maturation of the Romani elite and its comprehensive development. This was despite of the many shortcomings of the close relationship between the Romani people and the Polish administration, as a result from the dictatorial rule in Poland at the time.
Gypsy Policy and Roma Activism: From the Interwar Period to Current Policies and Challenges
Authors: Marushiakova Elena , Popov Vesselin
Published: June 2020

The editorial introduces the key ideas of this thematic issue, which originated within the European Research Council project ‘RomaInterbellum. Roma Civic Emancipation between the Two World Wars.’ The period between WWI and WWII in the region of Central, Southeastern and Eastern Europe was an era of worldwide significant changes, which marked the birth of the Roma civic emancipation movement and impacted Roma communities’ living strategies and visions about their future, worldwide. The aspiration of this thematic issue is to present the main dimensions of the processes of Roma civic emancipation and to outline the role of the Roma as active participants in the historical processes occurring in the studied region and as the creators of their own history. The editorial offers clarifications on the terminology and methodology employed in the articles included in this issue and their spatial and chronological parameters while also briefly introducing the individual authored studies of this issue.
Kamu Diplomasisi Oluşturulmasında Dijital Diplomasinin Etkisi: Türkiye’de Bulunan Büyükelçiliklerin Twitter Kullanımı
Authors: ÖZLÜ Özden , ERNEK ALAN Gülseli Aygül
Published: June 2020

Günümüzde insanların sosyal medya kullanmaları devletleri dijitalleşme yönünde harekete geçirmiştir. Devlet kurumlarından büyükelçilikler de bulundukları ülkelerin halklarına dijital platformlar üzerinden ulaşarak ülkeleriyle ilgili propaganda yapmak, gündem yaratmak, ülke markasını geliştirmek gibi faaliyetlerde bulunmaktadırlar. Araştırmada, Türkiye’deki Amerika Birleşik Devletleri ve Rusya Federasyonu Büyükelçiliklerinin kamu diplomasisi oluşturmaları Twitter hesaplarındaki tweet etkileşimleri izlenerek analiz edilmiştir. Verileri daha doğru bir çerçevede inceleyebilmek için en fazla söz edilen alanlara bakılmış ve tweetler Göç ve Mülteci; Çevre, İklim Değişikliği ve Enerji; İnsan Hakları, Kadın ve Çocuk; Ortadoğu; Kültür ve Sanat olmak üzere beş kategoriye ayrılmıştır. Bu kategorilerde atılan tweetler, retweetler, takipçileri tarafından retweetlenen tweetler, beğenilen tweetler ve tweetlerin basın yansımaları web içerik analizi uygulanarak incelenmiştir. Bu beş kategoride en fazla paylaşılan tweet içeriklerinin, tiraj sayılarına göre belirlenen Türk yazılı medyasından Birgün, Hürriyet, Sabah, Sözcü, Yeniçağ ve Yeni Şafak’ın dijital platformlarındaki haber yansımalarına bakılmıştır. Sonuçlara göre iki büyükelçiliğin de takipçileriyle etkileşime girmediği, tek taraflı iletişimi tercih ettiği ve bu kategorilerle ilgili atmış oldukları tweetlerin Türk yazılı medyasında etkin bir yansıması olmadığı tespit edilmiştir.
Similar or different? An Item Response Theory Analysis of the Synonyms Test in Adults with and without a History of Institutionalization
Authors: Logvinenko T.I. , Talantseva O.I. , Volokhova E.M. , Khalaf S. , Grigorenko E.L.
Published: June 2020

The lack of valid and standardized instruments, directed on an assessment of the language domain in adolescents and adults in Russia postulates the urgent necessity of their development. To fi ll this gap, the language battery, ARFA-RUS, was created and applied in a large project investigating the long-term consequences of raring in institutional care settings on human development. In the current study, an Item Response Theory (IRT) approach was used to examine the psychometric properties of the Synonyms Subtest of ARFA-RUS as the fi rst step of validation of the battery. IRT results demonstrated the test is reliable for the low-to-moderate levels of the assessed ability; yet, to capture a wider ability range, more diffi cult items are needed. The ARFA-RUS Synonyms Subtest was less suitable for the postinstitutionalized group of adults; in this group, the latent ability estimate explained a lower percentage of variance in comparison to adults raised in biological families. With regard to item-specifi c analyses, two items demonstrated paradoxical patterns with decreased probability of correct response at increased ability. In addition, one item was eliminated from the fi nal version of the Synonyms Subtest due to its poor item fi t and low discrimination value.
Information System for Educational and Methodological Support of the Discipline “Numerical Methods of Linear Algebra”
Authors: Nurkaeva I.M. , Korchagina K.A.
Published: June 2020

The article deals with the development of an information system for educational and methodological support of the discipline of the mathematical cycle. The main requirements for the developed discipline are defi ned.
Accessible and Inclusive City: Can Kingston Jamaica Measure Up?
Authors: Morris Floyd
Published: June 2020

There is a global thrust towards including and integrating persons with disabilities in the mainstream of society. This has intensified since the establishment of the Convention on the Rights of Persons with Disabilities (CRPD) in 2006 and the Sustainable Development Goals (SDGs) in 2015 by the United Nations. One foundational issue addressed in these documents is that of access to public facilities and mobility. In this article, I assessed the situation of the Anglophone Caribbean, using the city of Kingston Jamaica as the point of departure. Kingston is the largest city in the Anglophone Caribbean and acts as a gateway to other destinations in the region. It has a population of approximately 1 million and there is a high concentration of persons with disabilities living in this geographical space.
Experimental and simulated wheat data from across a temperature gradient along the River Nile in Egypt
Authors: Kheir Ahmed Mohammed Saad , Abdelaal Aly , Hoogenboom Gerrit , Asseng Senthold
Published: June 2020

The dataset includes detailed field experiments from four locations across a temperature gradient along the River Nile. The data covering four contrasting environments from North (low temperature) to South (high temperature), includes Sakha (North delta, lower Egypt), Menofya (Middle delta), Benisuef (Middle Egypt) and Aswan (upper Egypt). Measurements included plant density, aboveground biomass, anthesis and maturity dates, grain yield, grains m-2, kernel weight and N content in grains as well as daily weather data (solar radiation, maximum and minimum temperature, precipitation, surface wind, relative humidity, dew point and vapor pressure) and soil characteristics and crop management. Wheat was sown under full irrigation and fertilization with two planting dates. Simulations include three DSSAT-Wheat models (CERES, NWHEAT and CROPSIM).
FREQUÊNCIA ALIMENTAR PARA TAMBAQUIS Colossoma macropomum (CUVIER, 1818) CULTIVADOS EM UM CENTRO DE PESQUISA AMAZÔNICO
Authors: Oliveira Porto Marlos , Dutra de Oliveira Janaiara , Cavali Jucilene , Vieira Dantas Filho Jerônimo , Tavares Dias Soares Newmar , Gilio Gasparotto Paulo Henrique , Ferreira Elvino
Published: June 2020

O objetivo do trabalho foi avaliar a melhor frequência alimentar sobre a conversão alimentar aparente e o desempenho zootécnico de juvenis de tambaqui de cultivo. O estudo foi desenvolvido no Centro de Pesquisa em Piscicultura Carlos Eduardo Matiazze, Universidade Federal de Rondônia, Presidente Médici, Rondônia. Foram utilizados 225 juvenis de tambaqui, com peso inicial 595,46±19,71 g, distribuídos em 15 hapas em delineamento inteiramente casualizado. O estudo foi desenvolvido em cinco tratamentos de diferentes frequências de alimentação: fornecimento de ração uma vez ao dia (1XD), composto por três horários distintos, para comparar os três diferentes horários; fornecimento de ração duas vezes (2XD) e três vezes (3XD) ao dia. Foi fornecido ração extrusada contendo 28 % de proteína bruta a taxa alimentar de 1,8 e 1,4 %. As variáveis limnológicas mantiveram-se estáveis e dentro das médias recomendadas ao cultivo de tambaqui. Os valores de peso final e ganho de peso médio corporal, apresentaram médias de 1.043,08 e 450,59 g, respectivamente. Os tambaquis que receberam ração duas vezes ao dia, apresentam melhores resultados de conversão alimentar e de desempenho produtivo. Portanto, alimentar juvenis de tambaqui duas vezes ao dia, apesar de demandar menor mão de obra é o suficiente para manter a conversão alimentar aparente e o desempenho zootécnico adequados.
O AVANÇO DO BALANCED SCORECARD COMO FERRAMENTA DE GESTÃO ESTRATÉGICA DENTRO DAS ORGANIZAÇÕES
Authors: Gabriel Cristian Mateus Pereira
Published: June 2020

O Balanced Scorecard é uma ferramenta estratégica que busca gerenciar os objetivos a longo prazo da organização, através de indicadores de desempenho, sendo uma ferramenta bastante utilizadas pelas empresas e fomentada pela academia. Diante disto, o presente artigo teve como objetivo analisar o Balanced Scorecard como ferramenta de gestão estratégica dentro das organizações, através de um estudo bibliométrico em artigos publicados nos últimos dez anos. Foram realizadas buscas a base de dados da SPELL e coletados 69 artigos para análise, sendo considerados artigos publicados no período de 2010 a 2019. Os principais resultados demonstraram que o BSC foi analisado em 15 diferentes áreas tendo um destaque para Administração Pública e a Industria, dentre as técnicas utilizadas para exposição, o estudo de caso foi a principal. No que tange os objetivos (39,13%) dos artigos buscaram analisar a ferramenta dentro das organizações, (20,29%) realizar a viabilidade de implementação da ferramenta e a mesma porcentagem contribuir bibliograficamente para a ferramenta. Nas esferas organizacionais as empresas privadas prevaleceram com 49,28% dos artigos analisados.
EDUCAÇÃO FINANCEIRA: Nível de conhecimentos dos alunos de uma Instituição de Ensino Superior
Authors: Ferreira João Batista , Castro Iara Maria
Published: June 2020

Este trabalho teve como objetivo identificar o nível de conhecimento dos alunos de graduação sobre gestão financeira pessoal. Especificamente, descrever a importância das finanças pessoais e as principais ferramentas de controle; analisar a visão dos alunos dos cursos de administração, ciências contábeis, pedagogia e psicologia sobre finanças pessoais e comparar o conhecimento sobre finanças pessoais entre as diferentes áreas. A metodologia, trata-se de uma pesquisa descritiva, qualitativa e quantitativa, e um estudo de caso. Foi aplicado um questionário estruturado para uma amostra de 98 participantes, a fim de comparar a visão dos alunos dos diferentes cursos. Por meio deste trabalho foi possível perceber que os alunos têm dificuldades em lidar com finanças pessoais, ainda falta planejamento e controle de gastos. Indica também que a família é a base da educação financeira, mas nem sempre tem conhecimento suficiente a respeito do assunto para ensinar aos filhos, a faculdade é vista como uma forma de apoio, já a escola não é tão citada como um local para adquirir conhecimentos, pois ainda carece de disciplinas que possam dar auxilio no desenvolvimento de jovens e adultos educados financeiramente. Não existem grandes diferenças em relação ao nível de conhecimento entre os cursos, além da segurança para lidar com essa questão. Enquanto os alunos de administração e contábeis se sentem seguros, os alunos de pedagogia e psicologia não possuem essa segurança. Conclui-se que a educação financeira, mesmo no ensino superior, não é tão eficaz, como seria se fosse abordada desde a infância e fizesse parte da cultura da população brasileira. O desenvolvimento do pensamento crítico a respeito do assunto poderia acarretar a melhores resultados da pesquisa.
INTELIGÊNCIA ARTIFICIAL: UM ESTUDO SOBRE O ESTÁGIO DA ADOÇÃO NAS ORGANIZAÇÕES BRASILEIRAS
Authors: De Oliveira da Cunha Diego , Madeira de Carvalho Laura Estela , Ribeiro Coelho Rita de Cassia
Published: June 2020

O objetivo do artigo é analisar a adoção da inovação - robôs com inteligência artificial - no panorama organizacional brasileiro, para identificar em qual fase se encontra essa adoção. A escolha do tema é motivada por sua atualidade e potencialidade em promover mudanças nas organizações. Entender e analisar em qual estágio de adoção está é importante insumo para que estudos sobre as implicações dessa adoção sejam direcionados afim de visar uma preparação pelas organizações e pela sociedade para as modificações decorrentes. A metodologia de pesquisa empreendida segue caráter qualitativo, com pesquisa do tipo bibliográfica. O artigo trará dados de pesquisas já realizadas e exemplos de casos já implantados no Brasil. Dentre os principais achados, foi possível concluir que um forte movimento de adoção se inicia no Brasil em 2018, impulsionado por alguns grandes fornecedores de tecnologia avançada, embora os debates sobre os riscos associados à IA ainda estejam em curso.
AS IMPLICAÇÕES DAS DESONERAÇÕES IMPOSTAS PELA LEI KANDIR SOBRE A EDUCAÇÃO BÁSICA NO ESTADO DO PARÁ: EVIDENCIAS DE UM PARADOXO DA ABUNDÂNCIA
Authors: Chaves Marcelo Santos , Silva David Costa Correia Silva , Silva Charlene de Carvalho Silva
Published: June 2020

O presente trabalho se propôs a testar a hipótese de que as perdas na arrecadação de ICMS, impostas pela Lei Kandir, impactou de forma negativa o desenvolvimento do ensino básico paraense entre 2005-2014, e dessa forma se constituiu em uma evidencia do paradoxo da abundância. Para examinar a tal proposição foi desenvolvido um Modelo de Regressão Linear Múltipla (MRLM), para simulações em três cenários de impactos. Os resultados permitiram concluir que, a estrutura socioeconômica do estado incorreu em um paradoxo onde a abundância de recursos naturais, explorados e comercializados com o resto do mundo, não se converteu em desenvolvimento do ensino básico no estado, nos dez anos examinados.
Ciencia y paz en interferencia
Authors: Ángel-Botero Carolina
Published: June 2020

Este artículo propone una reflexión sobre cómo una política de ciencia, tecnología e innovación (CTeI) participa del proceso de paz. A partir de un caso etnográfico, acompañando biólogos que hicieron inventarios de especies durante las expediciones de Colombia Bio financiadas por Colciencias, se explora cómo interfieren ciencia y paz. Y, a partir de dicha interferencia, es posible mostrar cómo las políticas de CTeI participan de distintas formas en la agenda de paz.