bluuebunny/crossref_metadata_2025 huggingface dataset:
The Person and Upbringing Within the Context of Anti-pedagogy and the Catholic Personalism Discourse
Authors: Gruca-Miąsik Urszula
Published: August 2019

According to anti-pedagogy, any form of upbringing aimed at something or someone only masks the object of the educated, making them essentially puppets, appropriately controlled from without. Any purposeful approach to upbringing appeals to attributes that make the pupil not turn out to be what he/she is, but what his/her educators would want him/her to be. This approach is in direct contradiction to personalistic pedagogy, which posits an ultimate reality and value in personhood by emphasizing the significance, uniqueness and inviolability of the person, as well as the person’s essentially relational or social dimension. By emphasizing the autonomous value of a human being as a person and in propagating this with full affirmation, one is thus postulating that programs of activities supporting its development are to be subordinated to personal and spiritual values, and not to economic and technical values. This article presents the contemporary discourse between anti-pedagogy and the personalistic pedagogy with a special emphasis on Polish authors.
The History of Editing Literary and Theatrical Works of Karol Wojtyła – John Paul II
Authors: Popiel Jacek
Published: August 2019

The article is devoted to the history of the edition of literary and theater works of Karol Wojtyla – John Paul II. Based on the surviving materials in the archives, often unknown facts were presented showing the subsequent phases of discovery of Wojtyła as a poet, playwright, and actor.
Songs during the Canonization Mass of Blessed Kinga Chaired by Pope John Paul II in Stary Sącz (June 16, 1999)
Authors: Garnczarski Stanisław
Published: August 2019

The 7th Pilgrimage of the Holy Father to Poland was a special time for the Tarnowski Church community, because during the pilgrimage John Paul II was to come to Stary Sącz to canonize Saint Kinga. An important element of any liturgical meeting are song sand liturgical music. The present study aims to show various aspects of preparations in the musical field, from the liturgical theme of the celebration, through the performers, to the planned repertoire of songs. The canonization of Saint Kinga decided the subject matter of the texts, the performers were joined by choirs and orchestras, while the repertoire consisted of songs in honor of Saint Kinga, Eucharistic songs intended for the common singing of the entire community and choral works with orchestra accompaniment. Its character emphasized the very festive mood of this feast of faith.
Der Beitrag der integrativen Gestaltpädagogik nach Albert Höfer im Bereich der holistischen Religionspädagogik
Authors: Nežič Glavica Iva
Published: August 2019

Integrative Gestalt pedagogy is a comprehensive pedagogy that based on Gestalt theory (-philosophy, -psychology, -therapy, -pedagogy), humanistic psychology and pedagogy. In the 1980s its holistic approach was used by Dr Albert Höfer to reform the concept of the Austrian religious education. Höfer succeeded in designing a complete Gestalt-pedagogical model of learning and teaching, whose uniqueness can be seen in its approaches that encourage student’s personal growth. In accordance with Jesus’s teaching it looks at students in a loving and caring way, talking to them in their everyday situations and opening them to religious experience and God’s working in their lives. This has been confirmed by empirical research.
New Man – New Creation in the Theology of Paul
Authors: Sciberras Paul
Published: August 2019

God had congratulated himself for creating the universe and humankind (Gen 1,31), a “very good” creation brought to nought by human sin. However, human nature still sighs and longs for the goodness and image of God within. God’s creation yearns to be created anew. Paul’s understanding of “new creation” and “new man” looks to the wise plan of God negated by sin. For Paul, the new era, in which the new creation reaches its aim in perfection, is the time of the parousia, the new and future coming of Jesus Christ. The Apostle of the Gentiles understood “kainē ktisis” in a soterio-cosmological sense, as the event consequent upon the redemption brought about by Christ Jesus that will be fulfilled in the parousia. New creation, new mankind in a new covenant takes place in communion with the death and resurrection of Christ Jesus in Baptism. The fundamental condition by which the revelation of the mystery of God takes place is the new covenant fulfilled in the blood of Christ and its effects: the outpouring of the Holy Spirit, upon those who believe, as even the prophets had foretold. One can observe the development of the Pauline thought in his Letters: from a theological perspective and its legitimacy in the Major Letters, to the practical consequences in the daily life of the Christian assemblies in the Deutero-Pauline Letters, that emerge from the application of these theological arguments.
TrafficPredict: Trajectory Prediction for Heterogeneous Traffic-Agents
Authors: Ma Yuexin , Zhu Xinge , Zhang Sibo , Yang Ruigang , Wang Wenping , Manocha Dinesh
Published: August 2019

To safely and efficiently navigate in complex urban traffic, autonomous vehicles must make responsible predictions in relation to surrounding traffic-agents (vehicles, bicycles, pedestrians, etc.). A challenging and critical task is to explore the movement patterns of different traffic-agents and predict their future trajectories accurately to help the autonomous vehicle make reasonable navigation decision. To solve this problem, we propose a long short-term memory-based (LSTM-based) realtime traffic prediction algorithm, TrafficPredict. Our approach uses an instance layer to learn instances’ movements and interactions and has a category layer to learn the similarities of instances belonging to the same type to refine the prediction. In order to evaluate its performance, we collected trajectory datasets in a large city consisting of varying conditions and traffic densities. The dataset includes many challenging scenarios where vehicles, bicycles, and pedestrians move among one another. We evaluate the performance of TrafficPredict on our new dataset and highlight its higher accuracy for trajectory prediction by comparing with prior prediction methods.
Overcoming Blind Spots in the Real World: Leveraging Complementary Abilities for Joint Execution
Authors: Ramakrishnan Ramya , Kamar Ece , Nushi Besmira , Dey Debadeepta , Shah Julie , Horvitz Eric
Published: August 2019

Simulators are being increasingly used to train agents before deploying them in real-world environments. While training in simulation provides a cost-effective way to learn, poorly modeled aspects of the simulator can lead to costly mistakes, or blind spots. While humans can help guide an agent towards identifying these error regions, humans themselves have blind spots and noise in execution. We study how learning about blind spots of both can be used to manage hand-off decisions when humans and agents jointly act in the real-world in which neither of them are trained or evaluated fully. The formulation assumes that agent blind spots result from representational limitations in the simulation world, which leads the agent to ignore important features that are relevant for acting in the open world. Our approach for blind spot discovery combines experiences collected in simulation with limited human demonstrations. The first step applies imitation learning to demonstration data to identify important features that the human is using but that the agent is missing. The second step uses noisy labels extracted from action mismatches between the agent and the human across simulation and demonstration data to train blind spot models. We show through experiments on two domains that our approach is able to learn a succinct representation that accurately captures blind spot regions and avoids dangerous errors in the real world through transfer of control between the agent and the human.
Evolution of Collective Fairness in Hybrid Populations of Humans and Agents
Authors: Santos Fernando P. , Pacheco Jorge M. , Paiva Ana , Santos Francisco C.
Published: August 2019

Fairness plays a fundamental role in decision-making, which is evidenced by the high incidence of human behaviors that result in egalitarian outcomes. This is often shown in the context of dyadic interactions, resorting to the Ultimatum Game. The peculiarities of group interactions – and the corresponding effect in eliciting fair actions – remain, however, astray. Focusing on groups suggests several questions related with the effect of group size, group decision rules and the interrelation of human and agents’ behaviors in hybrid groups. To address these topics, here we test a Multiplayer version of the Ultimatum Game (MUG): proposals are made to groups of Responders that, collectively, accept or reject them. Firstly, we run an online experiment to evaluate how humans react to different group decision rules. We observe that people become increasingly fair if groups adopt stricter decision rules, i.e., if more individuals are required to accept a proposal for it to be accepted by the group. Secondly, we propose a new analytical model to shed light on how such behaviors may have evolved. Thirdly, we adapt our model to include agents with fixed behaviors. We show that including hardcoded Pro-social agents favors the evolutionary stability of fair states, even for soft group decision rules. This suggests that judiciously introducing agents with particular behaviors in a population may leverage long-term social benefits.
Multi-Winner Contests for Strategic Diffusion in Social Networks
Authors: Shen Wen , Feng Yang , Lopes Cristina V.
Published: August 2019

Strategic diffusion encourages participants to take active roles in promoting stakeholders’ agendas by rewarding successful referrals. As social media continues to transform the way people communicate, strategic diffusion has become a powerful tool for stakeholders to influence people’s decisions or behaviors for desired objectives. Existing reward mechanisms for strategic diffusion are usually either vulnerable to falsename attacks or not individually rational for participants that have made successful referrals. Here, we introduce a novel multi-winner contests (MWC) mechanism for strategic diffusion in social networks. The MWC mechanism satisfies several desirable properties, including false-name-proofness, individual rationality, budget constraint, monotonicity, and subgraph constraint. Numerical experiments on four real-world social network datasets demonstrate that stakeholders can significantly boost participants’ aggregated efforts with proper design of competitions. Our work sheds light on how to design manipulation-resistant mechanisms with appropriate contests.
Multiagent Decision Making For Maritime Traffic Management
Authors: Singh Arambam James , Nguyen Duc Thien , Kumar Akshat , Lau Hoong Chuin
Published: August 2019

We address the problem of maritime traffic management in busy waterways to increase the safety of navigation by reducing congestion. We model maritime traffic as a large multiagent systems with individual vessels as agents, and VTS authority as the regulatory agent. We develop a maritime traffic simulator based on historical traffic data that incorporates realistic domain constraints such as uncertain and asynchronous movement of vessels. We also develop a traffic coordination approach that provides speed recommendation to vessels in different zones. We exploit the nature of collective interactions among agents to develop a scalable policy gradient approach that can scale up to real world problems. Empirical results on synthetic and real world problems show that our approach can significantly reduce congestion while keeping the traffic throughput high.
Probabilistic Alternating-Time µ-Calculus
Authors: Song Fu , Zhang Yedi , Chen Taolue , Tang Yu , Xu Zhiwu
Published: August 2019

Reasoning about strategic abilities is key to an AI system consisting of multiple agents with random behaviors. We propose a probabilistic extension of Alternating µ-Calculus (AMC), named PAMC, for reasoning about strategic abilities of agents in stochastic multi-agent systems. PAMC subsumes existing logics AMC and PµTL. The usefulness of PAMC is exemplified by applications in genetic regulatory networks. We show that, for PAMC, the model checking problem is in UP∩co-UP, and the satisfiability problem is EXPTIME-complete, both of which are the same as those for AMC. Moreover, PAMC admits the small model property. We implement the satisfiability checking procedure in a tool PAMCSolver.
Re-Evaluating ADEM: A Deeper Look at Scoring Dialogue Responses
Authors: Sai Ananya B. , Gupta Mithun Das , Khapra Mitesh M. , Srinivasan Mukundhan
Published: August 2019

Automatically evaluating the quality of dialogue responses for unstructured domains is a challenging problem. ADEM (Lowe et al. 2017) formulated the automatic evaluation of dialogue systems as a learning problem and showed that such a model was able to predict responses which correlate significantly with human judgements, both at utterance and system level. Their system was shown to have beaten word-overlap metrics such as BLEU with large margins. We start with the question of whether an adversary can game the ADEM model. We design a battery of targeted attacks at the neural network based ADEM evaluation system and show that automatic evaluation of dialogue systems still has a long way to go. ADEM can get confused with a variation as simple as reversing the word order in the text! We report experiments on several such adversarial scenarios that draw out counterintuitive scores on the dialogue responses. We take a systematic look at the scoring function proposed by ADEM and connect it to linear system theory to predict the shortcomings evident in the system. We also devise an attack that can fool such a system to rate a response generation system as favorable. Finally, we allude to future research directions of using the adversarial attacks to design a truly automated dialogue evaluation system.
Convolutional Spatial Attention Model for Reading Comprehension with Multiple-Choice Questions
Authors: Chen Zhipeng , Cui Yiming , Ma Wentao , Wang Shijin , Hu Guoping
Published: August 2019

Machine Reading Comprehension (MRC) with multiplechoice questions requires the machine to read given passage and select the correct answer among several candidates. In this paper, we propose a novel approach called Convolutional Spatial Attention (CSA) model which can better handle the MRC with multiple-choice questions. The proposed model could fully extract the mutual information among the passage, question, and the candidates, to form the enriched representations. Furthermore, to merge various attention results, we propose to use convolutional operation to dynamically summarize the attention values within the different size of regions. Experimental results show that the proposed model could give substantial improvements over various state-of- the-art systems on both RACE and SemEval-2018 Task11 datasets.
Recurrent Stacking of Layers for Compact Neural Machine Translation Models
Authors: Dabre Raj , Fujita Atsushi
Published: August 2019

In encoder-decoder based sequence-to-sequence modeling, the most common practice is to stack a number of recurrent, convolutional, or feed-forward layers in the encoder and decoder. While the addition of each new layer improves the sequence generation quality, this also leads to a significant increase in the number of parameters. In this paper, we propose to share parameters across all layers thereby leading to a recurrently stacked sequence-to-sequence model. We report on an extensive case study on neural machine translation (NMT) using our proposed method, experimenting with a variety of datasets. We empirically show that the translation quality of a model that recurrently stacks a single-layer 6 times, despite its significantly fewer parameters, approaches that of a model that stacks 6 different layers. We also show how our method can benefit from a prevalent way for improving NMT, i.e., extending training data with pseudo-parallel corpora generated by back-translation. We then analyze the effects of recurrently stacked layers by visualizing the attentions of models that use recurrently stacked layers and models that do not. Finally, we explore the limits of parameter sharing where we share even the parameters between the encoder and decoder in addition to recurrent stacking of layers.
Adapting Translation Models for Transcript Disfluency Detection
Authors: Dong Qianqian , Wang Feng , Yang Zhen , Chen Wei , Xu Shuang , Xu Bo
Published: August 2019

Transcript disfluency detection (TDD) is an important component of the real-time speech translation system, which arouses more and more interests in recent years. This paper presents our study on adapting neural machine translation (NMT) models for TDD. We propose a general training framework for adapting NMT models to TDD task rapidly. In this framework, the main structure of the model is implemented similar to the NMT model. Additionally, several extended modules and training techniques which are independent of the NMT model are proposed to improve the performance, such as the constrained decoding, denoising autoencoder initialization and a TDD-specific training object. With the proposed training framework, we achieve significant improvement. However, it is too slow in decoding to be practical. To build a feasible and production-ready solution for TDD, we propose a fast non-autoregressive TDD model following the non-autoregressive NMT model emerged recently. Even we do not assume the specific architecture of the NMT model, we build our TDD model on the basis of Transformer, which is the state-of-the-art NMT model. We conduct extensive experiments on the publicly available set, Switchboard, and in-house Chinese set. Experimental results show that the proposed model significantly outperforms previous state-ofthe-art models.
“Bilingual Expert” Can Find Translation Errors
Authors: Fan Kai , Wang Jiayi , Li Bo , Zhou Fengming , Chen Boxing , Si Luo
Published: August 2019

The performances of machine translation (MT) systems are usually evaluated by the metric BLEU when the golden references are provided. However, in the case of model inference or production deployment, golden references are usually expensively available, such as human annotation with bilingual expertise. In order to address the issue of translation quality estimation (QE) without reference, we propose a general framework for automatic evaluation of the translation output for the QE task in the Conference on Statistical Machine Translation (WMT). We first build a conditional target language model with a novel bidirectional transformer, named neural bilingual expert model, which is pre-trained on large parallel corpora for feature extraction. For QE inference, the bilingual expert model can simultaneously produce the joint latent representation between the source and the translation, and real-valued measurements of possible erroneous tokens based on the prior knowledge learned from parallel data. Subsequently, the features will further be fed into a simple Bi-LSTM predictive model for quality estimation. The experimental results show that our approach achieves the state-of-the-art performance in most public available datasets of WMT 2017/2018 QE task.
Hybrid Attention-Based Prototypical Networks for Noisy Few-Shot Relation Classification
Authors: Gao Tianyu , Han Xu , Liu Zhiyuan , Sun Maosong
Published: August 2019

The existing methods for relation classification (RC) primarily rely on distant supervision (DS) because large-scale supervised training datasets are not readily available. Although DS automatically annotates adequate amounts of data for model training, the coverage of this data is still quite limited, and meanwhile many long-tail relations still suffer from data sparsity. Intuitively, people can grasp new knowledge by learning few instances. We thus provide a different view on RC by formalizing RC as a few-shot learning (FSL) problem. However, the current FSL models mainly focus on low-noise vision tasks, which makes them hard to directly deal with the diversity and noise of text. In this paper, we propose hybrid attention-based prototypical networks for the problem of noisy few-shot RC. We design instancelevel and feature-level attention schemes based on prototypical networks to highlight the crucial instances and features respectively, which significantly enhances the performance and robustness of RC models in a noisy FSL scenario. Besides, our attention schemes accelerate the convergence speed of RC models. Experimental results demonstrate that our hybrid attention-based models require fewer training iterations and outperform the state-of-the-art baseline models. The code and datasets are released on https://github.com/thunlp/ HATT-Proto.
Generating Distractors for Reading Comprehension Questions from Real Examinations
Authors: Gao Yifan , Bing Lidong , Li Piji , King Irwin , Lyu Michael R.
Published: August 2019

We investigate the task of distractor generation for multiple choice reading comprehension questions from examinations. In contrast to all previous works, we do not aim at preparing words or short phrases distractors, instead, we endeavor to generate longer and semantic-rich distractors which are closer to distractors in real reading comprehension from examinations. Taking a reading comprehension article, a pair of question and its correct option as input, our goal is to generate several distractors which are somehow related to the answer, consistent with the semantic context of the question and have some trace in the article. We propose a hierarchical encoderdecoder framework with static and dynamic attention mechanisms to tackle this task. Specifically, the dynamic attention can combine sentence-level and word-level attention varying at each recurrent time step to generate a more readable sequence. The static attention is to modulate the dynamic attention not to focus on question irrelevant sentences or sentences which contribute to the correct option. Our proposed framework outperforms several strong baselines on the first prepared distractor generation dataset of real reading comprehension questions. For human evaluation, compared with those distractors generated by baselines, our generated distractors are more functional to confuse the annotators.
Deep Cascade Multi-Task Learning for Slot Filling in Online Shopping Assistant
Authors: Gong Yu , Luo Xusheng , Zhu Yu , Ou Wenwu , Li Zhao , Zhu Muhua , Zhu Kenny Q. , Duan Lu , Chen Xi
Published: August 2019

Slot filling is a critical task in natural language understanding (NLU) for dialog systems. State-of-the-art approaches treat it as a sequence labeling problem and adopt such models as BiLSTM-CRF. While these models work relatively well on standard benchmark datasets, they face challenges in the context of E-commerce where the slot labels are more informative and carry richer expressions. In this work, inspired by the unique structure of E-commerce knowledge base, we propose a novel multi-task model with cascade and residual connections, which jointly learns segment tagging, named entity tagging and slot filling. Experiments show the effectiveness of the proposed cascade and residual structures. Our model has a 14.6% advantage in F1 score over the strong baseline methods on a new Chinese E-commerce shopping assistant dataset, while achieving competitive accuracies on a standard dataset. Furthermore, online test deployed on such dominant E-commerce platform shows 130% improvement on accuracy of understanding user utterances. Our model has already gone into production in the E-commerce platform.
Lifetime Transfusion Burden and Transfusion-Related Iron Overload in Adult Survivors of Solid Malignancies
Authors: Woei-A-Jin F.J. Sherida H. , Zheng Shu Zhen , Kiliçsoy Inci , Hudig Francisca , Luelmo Saskia A.C. , Kroep Judith R. , Lamb Hildo J. , Osanto Susanne
Published: August 2019

Background

Limited data exist on transfusion burden and transfusion-related iron overload in adult survivors of solid malignancies.

Methods

Hospital-specific cancer registry data of patients with solid tumor receiving systemic anticancer treatment between January 2008 and September 2009 at the Oncology Department of the Leiden University Medical Center (The Netherlands) were retrieved and cross-referenced with red blood cell (RBC) transfusion records. Individual lifetime transfusion burden was captured in April 2015. Multitransfused long-term survivors with serum ferritin >500 μg/L were subsequently screened for hepatic and cardiac iron overload using 1.5 Tesla magnetic resonance imaging.

Results

The study population consisted of 775 adult patients with solid cancer (45.2% male; median age, 58 years; >75% chemotherapy-treated), 423 (54.6%) of whom were transfused with a median of 6.0 RBC units (range 1–67). Transfusion triggers were symptomatic anemia or hemoglobin <8.1–8.9 g/dL prior to each myelosuppressive chemotherapy cycle. We identified 123 (15.9%) patients across all tumor types with a lifetime transfusion burden of ≥10 RBC units. In the absence of a hemovigilance program, none of these multitransfused patients was screened for iron overload despite a median survival of 4.6 years. In 2015 at disclosure of transfusion burden, 26 multitransfused patients were alive. Six (23.1%) had hepatic iron overload: 3.9–11.2 mg Fe/g dry weight. No cardiac iron depositions were found.

Conclusion

Patients with solid malignancies are at risk for multitransfusion and iron overload even when adhering to restrictive RBC transfusion policies. With improved long-term cancer survivorship, increased awareness of iatrogenic side effects of supportive therapy and development of evidence-based guidelines are essential.
Size effects on melting point based on surface energy and coordination number
Authors: Zhang Shuai , Chen Lei
Published: August 2019

Size effect on melting point is closely related with the surface energy of nanoparticles, since the increased surface/volume ratio. As the nanoparticle’s size decreases, there have some different surface shape existing, which makes the coordination number are different from each other. Both the surface energy and coordination number of surface atoms are the necessary consideration in understanding the thermal stability of nanoparticles. So, a new model free of any adjustable parameters, based on size-dependent surface energy and calculation of the surface atomic coordination number of nanoparticles, is developed to predict the size-dependent melting point of nanoparticles. The model can be utilized to predict the thermal stability of low-dimensional materials within a large size range. The theoretical predictions in terms of the model are consistent with experimental evidences.
Análisis de los cambios en las propiedades mecánicas de materiales de subrasante por la adición de materiales poliméricos reciclados
Authors: Serrano Rodríguez Erika Julieth , Padilla González Edgar Alexander
Published: August 2019

Introducción: este artículo es producto de la investigación “Análisis de la resistencia y durabilidad de un suelo de cemento adicionando material no biodegradable polietileno malla Raschel (polisombra) reciclada en diferentes porcentajes en relación con el peso del suelo”, desarrollada en la Universidad de la Salle durante el 2016. Problema: identificación de las variaciones en las propiedades mecánicas de materiales de subrasante por la adición de materiales poliméricos. Objetivo: recopilar las principales investigaciones sobre las modificaciones de las propiedades de subrasante por medio de adición de fibras naturales y sintéticas, con el fin de tener una base teórica que justifique la aplicación de estas adiciones a nivel constructivo. Metodología: recopilación de bibliografía relevante sobre modificación de subrasante con polímeros y la evaluación del cambio en sus propiedades mecánicas, síntesis y discusión de resultados. Resultado: el 65 % de las investigaciones encontradas corresponde a estudios sobre las modificaciones de la resistencia a la compresión; el 30 % de ellas están dirigidas a estudios enfocados a estudiar la respuesta de los esfuerzos de tracción cuando son fibras poliméricas; y el otro 5 % evalúa propiedades como la fatiga o resistencia a la tensión axial. Conclusiones: se apunta un aumento considerable en la resistencia de compresión, que varía según el tipo o material a mezclar con el suelo y cemento. Originalidad: este artículo presenta la sustitución de materias primas de la subrasante con fibras naturales o sintéticas recicladas. Limitaciones: hasta ahora son pocas las investigaciones que se han encaminado a desarrollar modificaciones de los materiales en la subrasante con fibras naturales; por consiguiente, la información para analizar se ve limitada.
Análisis bibliométrico de las revistas de acceso abierto de Centroamérica, el Caribe y México basado en doaj e indexadores latinoamericanos
Authors: Fernández-Eysseric Madelaine Marie , Murillo-González Danny
Published: August 2019

Introducción: este artículo es producto de la investigación sobre “El análisis bibliométrico de revistas de Centro América y Caribe” que se llevó a cabo en la Universidad Tecnológica de Panamá en el año 2018. Objetivo: medir el impacto de las revistas de acceso abierto y comparar los países de la región de estudio. Se estudia también la posición de las revistas en Panamá con respecto a los otros países de la región. Metodología: se utilizaron datos de las revistas indexadas en DOAJ extraídos en formato CSV que fueron filtrados por países dando un total de 211 revistas y comparadas con los indexadores Latindex, Redalyc, Scielo y Redib dando un total de 42 revistas las cuales fueron analizadas bibliométricamente a través del software Publish or Perish. Resultados: la mayoría de revistas de la región de estudio que pertenecen a DOAJ cumplen los lineamientos necesarios para indexarse en directorios regionales, sin embargo, de las 211 revistas analizadas solo 42 han sido integrada a los 4 indexadores. Conclusiones: la visibilidad de las revistas de la región de estudio ha mejorado la visibilidad de sus, sin embargo, comparada con países como Brasil, Indonesia y el Reino Unido, resulta inferior en números de impacto. Originalidad: en Panamá no existen estudios para medir la producción científica ni el impacto de las revistas. Limitaciones: no se encontraron datos sobre este tema en revistas de ingeniería
Software para construir marcos de red, con GUI, CLI y biblioteca de programación
Authors: López Muñoz Marta , Carrillo Valderrama José Luis Alejandro
Published: August 2019

Introducción: Esta publicación es el producto de un proyecto de investigación titulado “Diseño e implementación de un software para construir paquetes de red, con interfaz CLI, GUI y librería de programación” de la Corporación Politécnico de la Costa Atlántica en Barranquilla, Colombia entre el año 2016 y 2018. Se ha desarrollado un software multiplataforma con GUI, CLI y biblioteca de programación. El software permite la construcción de tramas de red de manera intuitiva, acelerando los tiempos de construcción. De esta forma facilita el aprendizaje práctico del concepto de encapsulamiento de red.
Objetivo: La investigación tiene como objetivo construir una solución informática multiplataforma, que permita ser utilizado como GUI, CLI y librería de programación, para construir tramas de red de forma intuitiva.
Metodología: El alcance del proyecto es descriptivo, ya que el desarrollo incluye el análisis y la implementación del software y sus componentes; así como pruebas funcionales.
Resultados: Se construyó el software de acuerdo a las fases planteadas en la metodología. Se obtuvo un alto porcentaje de estudiantes con desempeño regular en la evaluación efectuada sobre tramas, paquetes y segmentos.
Conclusión: Los resultados demuestran la necesidad de aplicar una nueva metodología de enseñanza basada en la elaboración de tramas, para mejorar el proceso de aprendizaje en redes de computadores.
Originalidad: Se propone una solución informática que complementa las limitaciones actuales en portabilidad, versatilidad y facilidad de uso. Esta solución es aplicable tanto en el ámbito laboral como en el ámbito educativo.
Limitaciones: Los procesos de envío y escucha de tramas se encuentran separados en el software, por lo que no se puede mantener una comunicación TCP. Es necesario construir una aplicación GUI para escuchar las tramas de red y no depender de una herramienta como Wireshark para visualizar las tramas de forma intuitiva.
Revision of Smart Street Lighting LED
Authors: Rodríguez Patarroyo Diego Julián , Cely Garzón Iván Felipe , Letrado Forero Cristhian Alexander
Published: August 2019

Introduction: This Literature Review article is the result of a research on the current situation of smart public lighting systems with light-emitting diode (LED) technology in cities around the world.

Problem: How convenient is it to use smart public lighting system with LED luminaires?

Objective: To review the context of smart public lighting with LED technology.

Methodology: Within this project, a lit review was conducted with more than 50 academic articles found in different databases such as: IEEE Xplore, Scopus, ScienceDirect etc. The selection criteria of the information followed the revision of articles from 2006 to 2018, and also, took into account their installation and performance in different cities and places of the world. Furthermore, articles on polluting and inefficient technologies were excluded.

Conclusion: Considering the current context in which LED smart public lighting is, it is more likely to be implemented in the future.

Results: Smart LED street lighting systems are more efficient in energy use, leads to savings in costs in medium terms, and finally, present a lower environmental impact compared to conventional lighting systems.

Limitations: The review focuses on energy efficiency and economic aspects, not on social aspects.

Originality: Smart LED public lighting systems have been researched within the economic and energy efficiency context.
Incentivos a la financiación empresarial: el caso particular de los business angels en España
Authors: Soto- Moya María del Mar
Published: August 2019

Propósito: El presente trabajo se centra en la figura de los business angels como agentes de innovación social que prestan su apoyo a emprendedores que no han podido financiar su actividad a través de las fuentes de financiación tradicionales, realizando especial hincapié en los aspectos tributarios y las últimas actualizaciones normativas en torno a esta institución. Descripción: La restricción del crédito por parte de las entidades bancarias a consecuencia de la crisis económica ha determinado la necesidad de acudir a instrumentos de financiación alternativa, por tanto, se hacen necesarias herramientas de innovación social que resuelvan aquellas cuestiones a las que los poderes públicos no han sabido dar respuesta.Punto de vista: El business angel se presenta en la actualidad como una de las figuras más relevantes para la obtención de la financiación necesaria para la puesta en marcha de proyectos que, de otra forma, no hubieran podido conseguir el crédito necesario. Conclusiones: En un contexto de crisis económica como el vivido en los últimos años, resulta imprescindible acudir a nuevas fórmulas de financiación alternativas, por tanto, los poderes públicos deben establecer los mecanismos necesarios para el fomento de estas inversiones, siendo el Derecho Financiero el medio idóneo para hacerlo.
Programa Jóvenes en acción en la Universidad de la Amazonia: una lectura desde los actores en cuestión
Authors: Gómez –Cano Carlos Alberto , Sánchez –Castillo Verenice , Rivera –Cortés Yamil Hernando
Published: August 2019

Introducción. El Programa Jóvenes en Acción-PJeA, es un programa del gobierno nacional que busca apoyar los procesos de educación superior a través de Transferencias Monetarias Condicionadas a Jóvenes que estén cursando una tecnología o una formación profesional. En la Universidad de la Amazonia, inició a funcionar desde el primer semestre del año 2014, actualmente beneficia a 2223 estudiantes del Alma Mater. Metodología. Las herramientas empleadas consistieron en arqueo de archivo, revisión de bases de datos del programa, identificación de actores clave, realización de entrevistas y procesamiento de los datos en el software Altas Ti. Resultados. Se evidenció un incremento periódico a través de cada semestre en cuanto a los beneficiarios y una disminución en los estudiantes inactivos y condicionados. Los imaginarios del programa por parte de los estudiantes son de éxito, pero a corto plazo y de impacto inmediato, lejos de lo que busca el programa mismo.  Conclusiones. Es preciso avanzar en dos líneas de interés que preocupan al programa que son la cobertura y el nivel de exigencia que se debe tener para sostenerse en el mismo.
Isolation of nuclei from frozen tissue for ATAC-seq and other epigenomic assays v1
Authors: Corces Ryan , J. Greenleaf William , Y. Chang Howard
Published: August 2019

This protocol enables the isolation of nuclei from frozen tissues. These nuclei are suitable for use in ATAC-seq, single-cell ATAC-seq, ChIP-seq, HiC/3C, and many other assays.
j5 Protocols Collection v1
Authors: J Fero Michael
Published: August 2019

A collection of protocols compatible with j5 and referenced in Springer-Verlag book chapter by M. Fero, N. Hillson and J.K. Craft.
Supplemental Online Methods and Protocols for: Detection of Pneumonia Pathogens from Plasma Cell-Free DNA v1
Authors: Langelier Charles , Fung Monica , Caldera Saharai , Deiss Thomas , Lyden Amy , C. Prince Brian , Hayakawa Serpa Paula , Moazed Farzad , Chin-Hong Peter , L. DeRisi Joseph , S. Calfee Carolyn
Published: August 2019

Culture-confirmed bacteremia occurs in only a fraction of pneumonia cases. The degree to which microbial DNA circulates in blood of patients with pneumonia, however, is unknown. Detection of cell-free microbial DNA from plasma is a promising new tool for infectious disease diagnosis. We conducted unbiased metagenomic next-generation sequencing (mNGS) of paired plasma and respiratory fluid from 25 subjects, 18 with pneumonia (four with concurrent bloodstream infections) and seven with non-infectious respiratory illnesses. Cell-free plasma mNGS identified one or more culture-confirmed bacterial or fungal pathogens in 67% of patients with pneumonia, compared to 100% for respiratory mNGS. In two patients who developed probable ventilator-associated pneumonia (VAP), plasma mNGS afforded early detection of the eventual culture-confirmed VAP pathogens. Our findings suggest that in a majority of patients with severe pneumonia, circulating microbial DNA from confirmed respiratory pathogens can be detected in the bloodstream, even in the setting of negative blood cultures.
O PESSIMISMO E TRAGICIDADE EM AUGUSTO DOS ANJOS A PARTIR DA HISTÓRIA DA LEITURA
Authors: Pereira dos Santos Sandy Aparecida , Sochodolak Hélio
Published: August 2019

Augusto de Carvalho Rodrigues dos Anjos (Paraíba, 1884 - Minas Gerais, 1914) foi um escritor brasileiro, que morreu aos 30 anos de idade, mais conhecido por escrever poesias, também foi autor de crônicas. Suas poesias foram um tanto rejeitadas na época, por não corresponderem fielmente aos modelos literários vigentes, como também por tratarem de temas que a literatura brasileira dava pouco espaço. Abordando uma visão trágica da vida, Augusto dos Anjos nos motiva a indagá-lo quanto às suas leituras e absorção de ideias, sobretudo em relação à filosofia trágica. Nesta pesquisa, aprofundamo-nos no universo cultural augustiniano buscando, na estimativa de sua leitura, explicitar aspectos da obra e vida do autor, reconhecendo, ao menos em parte, as referências e influências literárias em sua obra, a partir da história da leitura, utilizando basicamente seus escritos, que nos dão vestígios dessas relações. Por meio disso, analisamos seus escritos sobre uma perspectiva pessimista e trágica, não delimitando seus pensamentos, suas práticas literárias e ideias, mas relacionando estas com as filosofias de Schopenhauer e Nietzsche, por conta de suas filosofias acerca do trágico. Parecem ser influências que conseguimos observar, sobretudo, ao ler as poesias de Augusto dos Anjos.
INOVAÇÕES NO SETOR PÚBLICO: RELATO DE EXPERIÊNCIAS
Authors: Sarno Carvalho João Francisco , Elias Alves Rafaelle Stefane , Carvalho dos Santos Wilker , Ribeiro David Habib , Souza Fernanda da Silva
Published: August 2019

Este artigo tem como objetivo apresentar as principais características de alguns experimentos destaques nos processos e produtos inovadores existentes no âmbito da administração pública, utilizados por municípios, Estados e União. O referido estudo busca compreender como se materializam as inovações propostas ao aumento de eficiência, transparência e celeridade nos processos públicos e descrever experiências inovadoras, demonstrando suas peculiaridades, importância e diferencial que promoveram dentro do setor público em que estão sendo aplicadas. O artigo apresenta como exemplo de estudo o Sistema Eletrônico de Informação – SEI, o Dataviva e o Sistema Mineiro de Inovação – Simi, casos de sucessos de inovação no setor público. Ao final, identificou-se que a inovação no setor público impõe uma série de limitações que precisam ser superadas para se tornar efetivo, sendo fundamental estimular a inovação no setor público, por meio de ações objetivas envolvendo parcerias entre administração pública, pesquisadores, universidades e demais atores da sociedade.
REDUÇÃO DE DANOS: A CONSTRUÇÃO DO ATO NÔMADE E DO CUIDADO COMPARTILHADO
Authors: Garcia Edna Linhares , Santos Taís Morgana dos , Feldmann Rayssa Madalena , Braatz Marcia de Bastos , Sulzbach Natália , Santos Carina Ferreira dos , Krug Suzane Beatriz Frantz
Published: August 2019

Ao longo da história da humanidade podemos perceber o quanto a droga se fez presente no processo civilizatório de diversos povos. Atualmente ela se apresenta como um problema de saúde pública. É neste cenário que a Redução de Danos (RD) emerge como uma política que busca a construção de práticas em saúde voltadas para o cuidado singular. Este estudo busca elucidar as potencialidades desta política, bem como as dificuldades vivenciadas pelos redutores de danos ao longo do seu trabalho no território. É a partir da escuta, alinhada à pesquisa-ação e análise das narrativas, que este estudo se delineia metodologicamente. Possibilitando assim perceber a prática singular e nômade que a RD protagoniza na construção de cuidado em saúde.
CONHECIMENTO DOS PROFISSIONAIS DA SAÚDE SOBRE O DIAGNÓSTICO E CONDUTA PARA ANQUILOGLOSSIA EM BEBÊS
Authors: Pinto Ana Beatriz Rocha , Crispim Jéssica Behrens , Lopes Thaynara de Souza , Stabile Andressa Mioto , Santin Gabriela Cristina , Fracasso Marina de Lourdes Calvo
Published: August 2019

O estudo avaliou o conhecimento de profissionais da área de saúde, sobre o diagnóstico e conduta clínica para o tratamento da anquiloglossia em bebês. A amostra (n=84) foi dividida em: G1 (46 médicos da ESF); G2 (13 pediatras); G3 (5 fonoaudiólogas) e G4 (20 dentistas da ESF), que responderam ao questionário (dados pessoais e aplicação do protocolo de avaliação do freio lingual, preconizado por Martinelli et al. (2012)6. Um total de 21 profissionais responderam adequadamente o questionário sendo estes 66,6% do gênero feminino, com idade média de 46,4±12,5 anos de modo que 80,9% já receberam pacientes com queixa de anquiloglossia. Quanto à obrigatoriedade do teste da linguinha constatou-se que o Grupo 1 apresentou menor grau de informação (57,1%) comparado ao Grupo 4 (21,4%), no entanto 57,1% dos profissionais avaliados não o fazem rotineiramente. Referente ao protocolo, nos itens 1, 2 e 3, três profissionais (14,2%) assinalaram figuras com diagnóstico correto (G1 e G3); em relação ao item 4, dez profissionais (47,6%) pontuaram corretamente. Conclui-se que houve grande desconhecimento quanto à obrigatoriedade do teste da linguinha e dificuldade no correto diagnóstico de anquiloglossia em bebês.
ASPECTOS PSICOLÓGICOS EM INDIVÍDUOS COM SOBREPESO E OBESIDADE
Authors: Scotton Isabela Lamante , Affonso Gabriela , Pessa Rosane Pilot , Conceição Eva Martins , Neufeld Carmem Beatriz
Published: August 2019

A obesidade é considerada epidemia mundial e abrange complexidade, pois sua etiologia é multifatorial. Fatores psicológicos devem ser levados em consideração para se pensar o seu tratamento. Assim, fica clara a necessidade de estudos que se proponham a contribuir para a caracterização da população com excesso de peso. Foram estudados 184 participantes adultos com sobrepeso e obesidade. Os instrumentos utilizados foram as Escalas Beck, a Escala de Compulsão Alimentar Periódica e a Escala de Figura de Silhuetas. O nível médio de depressão, ansiedade e desesperança da amostra foi leve, leve e moderado, respectivamente. As mulheres apresentaram maiores níveis em quase todas as variáveis. Também foram realizadas análises item a item das Escalas Beck. Os escores de depressão, ansiedade e desesperança aparecem na literatura em menor proporção que neste trabalho, podendo ser devido ao fato de que a maior parte da amostra é composta por pessoas com sobrepeso e obesidade grau I, e estudos anteriores mostram correlação positiva entre gravidade dos sintomas psicológicos e níveis de IMC. Pode-se considerar portanto que sintomas de cunho psicológico estão presentes em indivíduos com excesso de peso. Assim, fica clara a importância de considerar os fatores psicológicos na estruturação de intervenções para esta população.
HOSPITALIZAÇÕES POR DIABETES MELLITUS EM ADULTOS E RELAÇÃO COM EXPANSÃO DA ATENÇÃO PRIMÁRIA NO PARANÁ
Authors: Ribeiro Thaisnara Hassan , Magri Camila Laiana , Santos Aliny de Lima
Published: August 2019

Estudo com objetivo de analisar os coeficientes de hospitalização por diabetes mellitus no Estado do Paraná no período de 2005-2015 e contextualizar com estimativa da cobertura por equipes da Estratégia Saúde da Família no mesmo estado e período. Estudo ecológico, de séries temporais que analisou as internações entre 2005 e 2015 obtidas no banco de dados do Departamento de Informática do Sistema Único de Saúde. As taxas foram calculadas e analisadas segundo sexo e faixa etária. Houve quedas consideráveis em todas as faixas etárias estudadas e em ambos os sexos, com destaque para quedas mais expressivas nas mulheres, apresentando maior redução na variação percentual (-43,8%) quando comparadas aos homens (-22,9%). Constatou-se também que quanto maior a faixa etária, maiores os coeficientes de hospitalização.
LARINGOTRAQUEOSCOPIA FLEXÍVEL NA DECANULAÇÃO DE PACIENTES TRAQUEOSTOMIZADOS: OTIMIZAÇÃO DE SEGURANÇA PARA O PACIENTE
Authors: Lemos Mauricio Medeiros , Bandeira César Orlando Peralta , Marques Vlaudimir Dias , Teixeira Jorge Juarez Vieira , Carvalho Maria Dalva Barros de
Published: August 2019

Avaliar a decanulação utilizando a laringotraqueoscopia flexível visando o reconhecimento das lesões laringotraqueais não diagnosticadas quando utilizados somente critérios clínicos. Participaram do estudo 100 pacientes, com idade entre 18 e 80 anos, traqueostomizados, com indicação de decanulação que foram submetidos à oclusão da cânula por 03 minutos para avaliar fonação e ventilação seguido da realização do exame. Foi comparada a indicação de decanulação por critérios clínicos com o diagnóstico de lesões laringotraqueais reconhecidas após o término da laringotraqueoscopia flexível. Os critérios de Myer-Cotton foram utilizados como referencial para classificação de doença laringotraqueal. Resultados: 62 (62%) pacientes apresentaram critérios clínicos para decanulação, porém, com doença laringotraqueal identificada pela laringotraqueoscopia flexível. Dentre estes, oito (8%) considerados aptos à decanulação baseados nos critérios clínicos apresentaram contraindicação à retirada da cânula. Apenas 26 (26%) pacientes não apresentaram doença laringotraqueal; 11 (11%) não foram decanulados por não preencherem critérios clínicos e endoscópicos. A laringotraqueoscopia flexível reconheceu doença laringotraqueal nos pacientes que preenchiam critérios clínicos para retirada da cânula traqueal. Este exame como rotina na avaliação de pacientes preenchendo critérios de decanulação mostrou-se útil e seguro.