bluuebunny/crossref_metadata_2025 huggingface dataset:
Penggunaan Image Tracking untuk Pengukuran Sifat Mekanik pada Kertas
Authors: Munir Rahmawati , Rahmayanti Handika Dany , Amalia Nadya , Viridi Sparisoma , Abdullah Mikrajuddin
Published: August 2019

Berbagai metode karakterisasi telah digunakan untuk memahami sifat mekanik bahan dengan menggunakan metode yang canggih atau metode paling sederhana. Pada penelitian ini dikembangkan metode sederhana untuk menghitung modulus elastis dengan menggunakan image tracking pada kertas A4 (100 g) yang membengkok dengan menerapkan prinsip balok cantilever. Metode ini menggunakan software video tracker 4.94 (Open Source) yang dapat dioperasikan dengan OS Windows. Preparasi sampel dilakukan dengan memotong kertas berukuran 16 cm x 5 cm. Pengambilan gambar dilakukan dengan menvariasikan sudut kelengkungannya pada sampel berbentuk persegi panjang (diasumsikan homogen). Profil lentur balok cantilever pada kertas difoto menggunakan kamera digital. Tracking koordinat dilakukan pada beberapa titik di setiap segmen sampel. Kebergantungan elastisitas terhadap parameter densitas dan penampang balok cantilever juga menjadi dasar dalam mengembangkan metode pengukuran ini. Data penampang dan kerapatan berdasarkan gambar profil lentur setiap bahan yang diperoleh dapat digunakan untuk menghitung modulus elastisitasnya. Hasil penelitian ini dapat berkontribusi pada pengembangan penelitian tentang pengukuran sifat mekanik bahan.
Validez y confiabilidad de la escala rasgo de metaconocimiento emocional (TMMS-24) en profesores universitarios
Authors: Angulo Rincón Rosalba , Albarracín Rodríguez Ángela Pilar
Published: August 2019

Algunos estudios apoyan la concepción de que la inteligencia emocional (IE) constituye una variable predictora del desempeño laboral, siendo también útil en los procesos de selección del mejor candidato para las organizaciones. Es decir, personas con alto nivel de IE tienen una mayor probabilidad de ser exitosas en el campo profesional, al ser más adaptables a los acontecimientos vitales estresantes, empleando para ello estrategias de afrontamiento adecuadas, sumado a la capacidad que desarrollan para el trabajo en equipo. El objetivo de este estudio fue examinar la fiabilidad y validez de la escala rasgo de metaconocimiento emocional TMMS, en una muestra de docentes universitarios de instituciones privadas de educación superior, con el fin de aportar al conocimiento sobre su viabilidad en la evaluación de los niveles de inteligencia emocional inter e intrapersonal de esta población. En el estudio participaron 235 profesores universitarios con experiencia mínima de dos años, y vinculados a una institución de educación superior privada de la ciudad de Bucaramanga. El proceso comprendió la validación de contenido a través del criterio de jueces, prueba piloto, medición de la confiabilidad de la prueba por consistencia interna y la determinación de la validez de constructo, mediante el análisis factorial. Los resultados indican que la estructura factorial de la Escala TMMS-24 en la muestra evaluada está conformada por las tres dimensiones definidas en la versión española y que la escala reducida a 20 ítems constituye un instrumento con adecuados valores de validez y confiabilidad en la medición de la inteligencia emocional en profesores universitarios. En conclusión, se considera que esta escala constituye un instrumento útil para la medición e investigación del constructo inteligencia emocional como una variable organizacional importante para mejorar la calidad de vida laboral de los trabajadores y la dinámica organizacional de las instituciones de educación superior. Se sugiere hacer estudios en otras regiones del país con el fin de fortalecer la generalización de los resultados.
Factores que incidieron en el emprendimiento rural en Extremadura (España) durante el período 2003 - 2012
Authors: García Díaz Leidy K. , Díaz Casero Juan Carlos
Published: August 2019

El emprendimiento puede ayudar a solucionar algunos problemas de la sociedad actual; en las áreas rurales podría influenciar positivamente la economía, generar empleo, frenar la despoblación y dinamizar estos espacios. Sin embargo, el entorno donde se lleve a cabo puede condicionarlo. El objetivo de este trabajo fue identificar y analizar las condiciones del entorno emprendedor (EFCS) que impulsaron o dificultaron el emprendimiento rural en Extremadura durante el período 2003 - 2012. La investigación realizada fue descriptiva; la información utilizada provino de la encuesta a expertos en el entorno para emprender del proyecto Global Entrepreneurship Monitor (GEM) Extremadura. Los resultados permiten observar que el acceso a la infraestructura física, el apoyo a la mujer y la innovación, fueron las condiciones que impulsaron el emprendimiento; por su parte, la educación, las habilidades y el apoyo financiero, al parecer obstaculizaron la aparición de nuevas empresas en Extremadura.
Explorando el valor percibido de los estándares de Responsabilidad Social Empresarial en la cadena de valor del pompón-crisantemo en el altiplano del Oriente antioqueño
Authors: Vélez Rivera Diego Andrés , Palacio Aristizábal Sergio Andrés
Published: August 2019

El presente documento da cuenta de las lógicas bajo las cuales se alinean empresas productoras de pompón-crisantemo en el altiplano del Oriente antioqueño con los sellos y certificados de Responsabilidad Social Empresarial (en adelante RSE). La metodología empleada se fundamenta  en las categorías de análisis trabajadas por Vélez & Palacio (2017), que consta de dos componentes, estándares específicos, y costos y beneficios de los estándares y sellos de RSE. Los resultados de la investigación muestran que las certificaciones en responsabilidad social son de gran importancia a la hora de iniciar procesos de expansión con miras a la internacionalización, ya que abren puertas comerciales y posibilitan pertenecer a cadenas de valor global, dando fe que el proceso de producción cuenta por lo menos con los mínimos legales, tanto a nivel ambiental como humano.
Percepción del consumidor en cuatro ferias del agricultor,Costa Rica
Authors: Arboleda Julio Esteban , Mora Camacho Juan Rafael
Published: August 2019

Este artículo tiene como propósito describir la perspectiva del consumidor que asiste a las ferias del agricultor (FA) de los cantones de Tibás, Santo Domingo, San Isidro y Barva de Heredia, Costa Rica a partir de encuestas que se aplicaron en el 2014 y 2015.

La metodología se fundamentó en el dinamismo y naturaleza de las ferias permitiendo el análisis cualitativo y cuantitativo de las variables que describen el comportamiento del consumidor. Primeramente, se obtuvo un panorama general del funcionamiento de las FA, administradas por los Centros Agrícolas Cantonales (CAC); posteriormente, se planteó un muestreo aleatorio simple para la selección de las distintas ferias y los consumidores dentro de cada una de ellas. En el análisis y síntesis de la información se llevó a cabo una descripción estadística en cuanto a aspectos del consumidor, demográficos y socioeconómicos.

Se encontró en el estudio que ciertos problemas generalizados están relacionados con la falta de infraestructura, inocuidad y calidad de los alimentos, entre otros; por otro lado, los consumidores manifiestan comprar legumbres, verduras y frutas como productos prioritarios. Las FA son percibidas por el consumidor como aceptables y los tramos son percibidos como regular. Tanto las ferias y tramos se encuentran en una línea vulnerable de competitividad sugiriendo trabajar en las áreas estratégica orientadas para el fortalecimiento en los aspectos culturales e histórico preferidos por los consumidores.
Explaining Religio-Political Tolerance Among Muslims: Evidence from Indonesia
Authors: Mujani Saiful
Published: August 2019

Once a fully free country according to Freedom House, Indonesia has declined to partly free in the last seven years, indicating that the largest Muslim democracy in the world is deconsolidating. The decrease of freedom in Indonesia is believed to be associated with intolerance toward religious minorities, specifically by Muslims toward non-Muslims. Previous studies found that Indonesians are in general intolerant. However, those studies ignore factors which have the potential to strengthen religio-polititical tolerance. My contribution is to fill this empty space by explaining the intolerance. The potential explanatory factors are political, economic, and security conditions, institutional engagement, political engagement, and democratic values. Based on a nationwide public opinion survey, this study reveals new findings about which factors are more crucial to strengthening religio-political tolerance. Muslim religiosity affects significantly and negatively religio-political tolerance. However, economic, political, and security conditions, institutional engagement, political engagement, democratic values, and Javanese ethnicity more significantly explain the tolerance. If these factors prevail over religion and religiosity, tolerance will improve.
Taqlīd Ngunya li muslimī Pegayaman bi Bali: Taṭbīq al-sharī‘ah al-Islāmīyah fī baldat al-Hindūs
Authors: Arif Muhamad
Published: August 2019

The 19th-century orientalists assumed that Balinese religious identity was formed through opposition to Islam. But this article provides contrary evidence. In Bali, Islam is exposed through associative patterns of interaction with Hindu-Balinese society since the 17th century. The Ngunya Muslim Pegayaman tradition is one of the results of the interaction between Islamic culture and Hindu culture in Bali. This article attempts to analyze the tradition according to three perspectives. In a continuity perspective, this tradition is one form of cultural acculturation and at the same time, explains how the Hindu community well receives the Islamic community. In a convergence perspective, Ngunya is a creative idea in resolving social conflicts related to marital procedures. In a concentric view, although the tradition was adopted from the Hindu tradition, Pegayaman’s Islamic community still made Islamic teachings the main reference in the procedure of marriage.
Bureaucratizing Sharia in Modern Indonesia: The Case of Zakat, Waqf and Family Law
Authors: Jahar Asep Saepudin
Published: August 2019

This article examines the “bureaucratization” of Sharia in Indonesia, giving special attention to zakat, waqf and other aspects of family law. The bureaucratization of Sharia aims to modernize the legal system for Muslims in order to provide certainty and justice in solving legal disputes. While some scholars view the incorporation of Sharia into state law as an attempt at Islamization, this study argues that this process reflects increasing bureaucratization rather than Islamization. The incorporation of Sharia into state law is a project of formalizing a state-defined brand of Islam and Sharia legislation. This phenomenon has precedence in premodern Muslim governance and can be traced from the colonial period.  In contemporary Indonesia, the Ministry of Religious Affairs and religious courts have played a central role in bureaucratizing Sharia. To support the argument, this study will explore Indonesian family law, including zakat and waqf.
Scurvy Due to Selective Diet in a Seemingly Healthy 4-Year-Old Boy
Authors: Nastro Andrew , Rosenwasser Natalie , Daniels Steven P. , Magnani Jessie , Endo Yoshimi , Hampton Elisa , Pan Nancy , Kovanlikaya Arzu
Published: August 2019

Scurvy is a rare disease in developed nations. In the field of pediatrics, it primarily is seen in children with developmental and behavioral issues, malabsorptive processes, or diseases involving dysphagia. We present the case of an otherwise developmentally appropriate 4-year-old boy who developed scurvy after gradual self-restriction of his diet. He initially presented with a limp and a rash and was subsequently found to have anemia and hematuria. A serum vitamin C level was undetectable, and after review of the MRI of his lower extremities, the clinical findings supported a diagnosis of scurvy. Although scurvy is rare in developed nations, this diagnosis should be considered in a patient with the clinical constellation of lower-extremity pain or arthralgias, a nonblanching rash, easy bleeding or bruising, fatigue, and anemia. This case highlights the importance of carefully assessing a child’s dietary and developmental status at well-child visits, which can help avoid a more invasive workup.
Balance fiscal estructural Costa Rica 1998 – 2014
Authors: Rojas Daniel
Published: August 2019

En este artículo se desarrolla un balance fiscal estructural para la economía costarricense. Se propone utilizar un indicador alternativo ex-post de la política fiscal que contribuya a la formulación de una regla fiscal. Para este fin, se utilizó la metodología general del FMI con datos obtenidos del Ministerio de Hacienda de Costa Rica. Además, se desarrolló un modelo de MCO con el propósito de calcular las elasticidades de los ingresos tributarios y del gasto corriente con respecto a la producción nacional. El filtro Hodrick – Prescott fue utilizado para calcular el producto potencial. Se comprobó empíricamente que, para el caso costarricense, el balance fiscal estructural se comporta de la misma manera que la brecha entre el producto efectivo y el potencial.
Cladorchis pyriformis (Diesing, 1838) (Digenea, Cladorchiidae): new rodent host and geographic records in Argentina
Authors: Guerreiro Martins Natalia Beatriz , Robles María del Rosario , Diaz Julia Inés , Kinsella John Michael , Navone Graciela Teresa
Published: August 2019

This work contributes to the knowledge of digeneans in two species of Holochilus Brant, 1835 from nine localities of Argentina. Morphological characteristics and ecological data are provided. Holochilus vulpinus (Brants, 1827) and H. chacarius Thomas, 1906 were parasitized by only one digenean species, Cladorchis pyriformis (Diesing, 1838). The morphometric features of this species and those reported by previous authors from South America are presented and compared. Holochilus vulpinus and a locality of Corrientes province was the host most frequently parasitized. Cladorchis pyriformis is recorded for the first time in H. chacarius.
Synopsis of aroids (Alismatales, Araceae) from Cerro Pirre (Darién Province, Panama)
Authors: Ortiz Orlando Oriel , de Stapf María Sánchez , Baldini Riccardo Maria , Croat Thomas Bernard
Published: August 2019

Ninety-four species belonging to 12 genera of Araceae are recorded on Cerro Pirre (Darién Province): Adelonema Schott (two); Anthurium Schott (39), Chlorospatha Engl. (2), Dieffenbachia Schott (3); Heteropsis Kunth (1); Monstera Adans. (6); Philodendron Schott (28), Rhodospatha Poepp. (2); Spathiphyllum Schott (2); Stenospermation Schott (3); Syngonium Schott (4) and Xanthosoma Schott (2). Taxonomic notes, identification key and comments on habitat and ecology of the species are presented.
O brincar, um aliado na intervenção psicopedagógica
Authors: Pereira Millis Aparecida , Gonzalez Maria do Carmo Borges
Published: August 2019

O presente trabalho tem por objetivo discutir o brincar como aliado na intervenção psicopedagógica, por ser este um recorrente recurso na busca por auxiliar crianças com dificuldades e transtornos de aprendizagem. Também visa discutir como as distintas teorias sobre o brincar e as estratégias de ensino e aprendizagem aplicadas por psicopedagogos de maneira consciente ou intuitiva. Para tanto,  apresenta definições e diferenças de termos como brincadeira e jogo. A brincadeira é vista na literatura como um expediente/maneira que pode estimular o desenvolvimento infantil e proporcionar meios facilitadores para a aprendizagem significativa. A partir disso, podemos concluir que ao utilizar a brincadeira como um recurso psicopedagógico o profissional busca, quase sempre intuitivamente, aproveitar a motivação própria das crianças, tornando mais atraente o processo de aprendizagem. Entretanto, percebe-se que para alguns profissionais do ambiente escolar a brincadeira é vista como uma pausa no aprendizado – embora para as crianças o ato de brincar envolva todo um processo que muitas das vezes se transforma em facilitador para a aprendizagem.
Nonlinear Optical Tweezers As an Optical Method for Controlling Particles with High Trap Efficiency
Authors: Quy Ho Quang
Published: August 2019

Optical tweezers have seen as an essential tool for the manipulation dielectric microparticles and nanoparticles due to its non-contact action and high resolution of optical force. Up to now, there has been a lot of optical tweezers applications in the fields of biophysics, chemistry, medical science and nanoscience. Recently, optical tweezers have been theoretically and experimentally developing for the nanomechanical characterization of various kinds of biological cells. The configuration of optical tweezers has been day after day improving to enhance the trapping efficiency, spatial and temporal resolution and easy to control trapped objects. In common trend of optical tweezers improvements, we will discuss in detail of the several configurations of nonlinear optical tweezers using nonlinear materials as the added lens. We will also address the advantages of nonlinear optical tweezers, such as enhance optical efficiency, reduce trapping region, simplify controlling all-optical method. Finally, we present discussions about the specific properties of nonlinear optical tweezers used for stretch DNA molecule as example and an ideal to improve nonlinear  optical tweezers using thin layer of organic dye  proposed for going time.
Generation of Maximally Entangled States by a Kerr-like Nonlinear Coupler Interacting with External Fields
Authors: Khoa Doan Quoc , Oanh Luong Thi Tu , Lanh Chu Van , Dung Nguyen Thi , Son Do Hong
Published: August 2019

We study a model with two nonlinear oscillators (Kerr-like nonlinear coupler) pumped by two external coherent fields as a nonlinear quantum scissor (NQS). Using the numerical simulation method introduced before for quantum state engineering in NQS of such type, we obtain the wave function describing the evolution of the system as a combination of n-photon states. Considered NQS generates a truncation of optical states that leads to achieve two-qubit states due to the nonlinear properties of oscillators and their interaction. In particular, evolution of the system generates maximally entangled states as so-called Bell-like states. We will show that a proper choice of initial conditions for such evolution implies the increase of efficiency of entanglement creation process. We consider our model for both damping and without damping cases.
Hallazgos socioculturales de la familia barbacoas a través del análisis de correspondencia de 1610
Authors: Pereira Solarte Silvio
Published: August 2019

A principios del siglo XVII se dio inicio a una de las más grandes incursiones de sujeción, dominio y ex-terminio de las etnias de las provincias de las Barbacoas, las cuales, lingüísticamente, correspondieron a la gran familia Barbacoas – Talamanca (Cerón, 1992). Siendo la Sindagua la más representativa de dicha comunidad que, por su condición indómita de conquista, suministra más registros para la investigación. El objetivo del estudio consistió en reconstruir la Lengua barbacoas y ciertos aspectos socioculturales de la etnia, mediante el análisis toponímico y antroponímico u onomástico antropológico, en la región del pacifico colombo ecuatoriano en tiempos de la conquista hispánica. En el artículo se aporta documenta-ción encontrada en el Archivo General de Indias de Sevilla, España (AGI); a través de éste, se interpretan ciertos aspectos sociales, culturales y políticos de la etnia. La investigación fue realizada bajo un enfo-que cualitativo, utilizando fuentes documentales primarias y secundarias. La técnica que se aplicó en el estudio, fue el análisis de documentación primaria, ya que es una fuente de investigación valiosa para develar rasgos aún desconocidos de las familias indígenas. Una conclusión relevante está relacionada con que las comunidades indígenas del litoral pacífico colombiano de Nariño, Cauca y norte de Ecuador, conservan fuertes lazos socioculturales, políticos y económicos, pese a la desarticulación que provocaron las distintas incursiones hispánicas de los siglos XVI – XVII. Esto fue determinante para que la gran familia Barbacoas – Talamanca no se haya exterminado culturalmente.
Semi-Supervised Learning for Electron Microscopy Image Segmentation
Authors: Takaya Eichi , Takeichi Yusuke , Ozaki Mamiko , Kurihara Satoshi
Published: August 2019

In the research field called connectomics, it is aimed to investigate the structure and connection of the neural system in the brain and sensory organ of the living things. Earlier studies have been proposed the method to help experts who suffer from labeling for three-dimensional reconstruction, that is important process to observe tiny neuronal structure in detail. In this paper, we proposed semi-supervised learning method, that performs pseudo-labeling. This makes it possible to automatically segment neuronal regions using only a small amount of labeled data. Experimental result showed that our method outperformed normal supervised learning with few labeled samples, while the accuracy was not sufficient yet.
Dynamically Identifying Deep Multimodal Features for Image Privacy Prediction
Authors: Tonge Ashwini , Caragea Cornelia
Published: August 2019

With millions of images shared online, privacy concerns are on the rise. In this paper, we propose an approach to image privacy prediction by dynamically identifying powerful features corresponding to objects, scene context, and image tags derived from Convolutional Neural Networks for each test image. Specifically, our approach identifies the set of most “competent” features on the fly, according to each test image whose privacy has to be predicted. Experimental results on thousands of Flickr images show that our approach predicts the sensitive (or private) content more accurately than the models trained on each individual feature set (object, scene, and tags alone) or their combination.
Heterogeneous Attributed Network Embedding with Graph Convolutional Networks
Authors: Wang Yueyang , Duan Ziheng , Liao Binbing , Wu Fei , Zhuang Yueting
Published: August 2019

Network embedding which assigns nodes in networks to lowdimensional representations has received increasing attention in recent years. However, most existing approaches, especially the spectral-based methods, only consider the attributes in homogeneous networks. They are weak for heterogeneous attributed networks that involve different node types as well as rich node attributes and are common in real-world scenarios. In this paper, we propose HANE, a novel network embedding method based on Graph Convolutional Networks, that leverages both the heterogeneity and the node attributes to generate high-quality embeddings. The experiments on the real-world dataset show the effectiveness of our method.
DSINE: Deep Structural Influence Learning via Network Embedding
Authors: Wu Jianjun , Sha Ying , Jiang Bo , Tan Jianlong
Published: August 2019

Structural representations of user social influence are critical for a variety of applications such as viral marketing and recommendation products. However, existing studies only focus on capturing and preserving the structure of relations, and ignore the diversity of influence relations patterns among users. To this end, we propose a deep structural influence learning model to learn social influence structure via mining rich features of each user, and fuse information from the aligned selfnetwork component for preserving global and local structure of the influence relations among users. Experiments on two real-world datasets demonstrate that the proposed model outperforms the state-of-the-art algorithms for learning rich representations in multi-label classification task.
Incorporating Context-Relevant Knowledge into Convolutional Neural Networks for Short Text Classification
Authors: Xu Jingyun , Cai Yi
Published: August 2019

Some text classification methods don’t work well on short texts due to the data sparsity. What’s more, they don’t fully exploit context-relevant knowledge. In order to tackle these problems, we propose a neural network to incorporate context-relevant knowledge into a convolutional neural network for short text classification. Our model consists of two modules. The first module utilizes two layers to extract concept and context features respectively and then employs an attention layer to extract those context-relevant concepts. The second module utilizes a convolutional neural network to extract high-level features from the word and the contextrelevant concept features. The experimental results on three datasets show that our proposed model outperforms the stateof-the-art models.
Towards Gene Function Prediction via Multi-Networks Representation Learning
Authors: Xue Hansheng , Peng Jiajie , Shang Xuequn
Published: August 2019

Multi-networks integration methods have achieved prominent performance on many network-based tasks, but these approaches often incur information loss problem. In this paper, we propose a novel multi-networks representation learning method based on semi-supervised autoencoder, termed as DeepMNE, which captures complex topological structures of each network and takes the correlation among multinetworks into account. The experimental results on two realworld datasets indicate that DeepMNE outperforms the existing state-of-the-art algorithms.
APRP: An Anonymous Propagation Method in Bitcoin Network
Authors: Yao Yuhang , Zeng Xiao , Cao Tianyue , Fu Luoyi , Wang Xinbing
Published: August 2019

Due to little attention given to anonymous protection against eavesdropping attacks in Bitcoin network, this paper initiatively proposes a solution to Bitcoin anonymization based on network structure. We first present a general adversarial network model for formulizing deanonymization attack, then present a novel propagation method APRP(Adaptive PageRank Propagation) that adopts PageRank as propagation delay factor and constantly adjusts PR-value of nodes to adapt to network dynamics. Experiments on both simulated and real Bitcoin networks confirm the superiority of APRP in terms of 20-50% performance enhancement under various deanonymization attacks.
Semi-Supervised Feature Selection with Adaptive Discriminant Analysis
Authors: Zhong Weichan , Chen Xiaojun , Yuan Guowen , Li Yiqin , Nie Feiping
Published: August 2019

In this paper, we propose a novel Adaptive Discriminant Analysis for semi-supervised feature selection, namely SADA. Instead of computing fixed similarities before performing feature selection, SADA simultaneously learns an adaptive similarity matrix S and a projection matrix W with an iterative method. In each iteration, S is computed from the projected distance with the learned W and W is computed with the learned S. Therefore, SADA can learn better projection matrix W by weakening the effect of noise features with the adaptive similarity matrix. Experimental results on 4 data sets show the superiority of SADA compared to 5 semisupervised feature selection methods.
A Bridge between Liquid and Social Welfare in Combinatorial Auctions with Submodular Bidders
Authors: Fotakis Dimitris , Lotidis Kyriakos , Podimata Chara
Published: August 2019

We study incentive compatible mechanisms for Combinatorial Auctions where the bidders have submodular (or XOS) valuations and are budget-constrained. Our objective is to maximize the liquid welfare, a notion of efficiency for budgetconstrained bidders introduced by Dobzinski and Paes Leme (2014). We show that some of the known truthful mechanisms that best-approximate the social welfare for Combinatorial Auctions with submodular bidders through demand query oracles can be adapted, so that they retain truthfulness and achieve asymptotically the same approximation guarantees for the liquid welfare. More specifically, for the problem of optimizing the liquid welfare in Combinatorial Auctions with submodular bidders, we obtain a universally truthful randomized O(log m)-approximate mechanism, where m is the number of items, by adapting the mechanism of Krysta and Vöcking (2012).Additionally, motivated by large market assumptions often used in mechanism design, we introduce a notion of competitive markets and show that in such markets, liquid welfare can be approximated within a constant factor by a randomized universally truthful mechanism. Finally, in the Bayesian setting, we obtain a truthful O(1)-approximate mechanism for the case where bidder valuations are generated as independent samples from a known distribution, by adapting the results of Feldman, Gravin and Lucier (2014).
Emergency Department Online Patient-Caregiver Scheduling
Authors: Rosemarin Hanan , Rosenfeld Ariel , Kraus Sarit
Published: August 2019

Emergency Departments (EDs) provide an imperative source of medical care. Central to the ED workflow is the patientcaregiver scheduling, directed at getting the right patient to the right caregiver at the right time. Unfortunately, common ED scheduling practices are based on ad-hoc heuristics which may not be aligned with the complex and partially conflicting ED's objectives. In this paper, we propose a novel online deep-learning scheduling approach for the automatic assignment and scheduling of medical personnel to arriving patients. Our approach allows for the optimization of explicit, hospital-specific multi-variate objectives and takes advantage of available data, without altering the existing workflow of the ED. In an extensive empirical evaluation, using real-world data, we show that our approach can significantly improve an ED's performance metrics.
Biochemical Measures of Neuropathy - Aconitase v1
Authors: Feldman Eva
Published: August 2019

Summary: Oxidative stress is highly correlated with the metabolic changes caused by hyperglycemia. Increased levels of glucose overload mitochondria and result in the production of reactive oxygen species (ROS). In addition, the flow of excess glucose through cellular pathways decreases the cell’s normal ability to detoxify ROS. As a result, the neurons and axons of the peripheral nervous system contain increased levels of ROS and decreased antioxidant capacity. The following assays are used to measure these changes in rodent models of diabetic neuropathy. Diabetic Complication:
Biochemical Measures of Neuropathy - Glutathione Reductase v1
Authors: Feldman Eva
Published: August 2019

Summary: Oxidative stress is highly correlated with the metabolic changes caused by hyperglycemia. Increased levels of glucose overload mitochondria and result in the production of reactive oxygen species (ROS). In addition, the flow of excess glucose through cellular pathways decreases the cell’s normal ability to detoxify ROS. As a result, the neurons and axons of the peripheral nervous system contain increased levels of ROS and decreased antioxidant capacity. The following assays are used to measure these changes in rodent models of diabetic neuropathy. Diabetic Complication:
Vitamin D and neurospecific proteins in children with inflammatory demyelinating diseases of central nervous system
Authors: Bukhalko Marina A. , Skripchenko Elena Yu. , Alekseeva Lidiya A. , Skripchenko Nataliya V. , Monakhova Nina E. , Grigoriev Stepan G.
Published: August 2019

The relevance of studying the provision of vitamin D in children with inflammatory diseases of the central nervous system (CNS) is due to a high prevalence of vitamin D deficiency conditions in children population, which, according to current literature data, leads to the imbalance of the immune system and a predisposition to a severe disease course, chronization of the process, development of autoimmune pathology. The study of the concentration of neurospecific proteins (NSP) in blood serum and cerebrospinal fluid (CSF) has been recently used to analyze the degree and nature of nervous tissue damage in case of various CNS diseases. The study included investigation of blood serum and CSF samples obtained from 107 children (34 – with encephalitis, 28 – with disseminated encephalomyelitis (DEM), 20 – with multiple sclerosis (MS), 25 – control group). Determination of vitamin D levels (25(OH)D) was performed by the method of electrochemiluminescence immunoassay, concentrations of myelin basic protein, neuron-specific enolase, S100 protein and glial fibrillary acidic protein – by ELISA method. A decrease in the concentration of vitamin D under 30 ng/ml was found in 95% of children with inflammatory diseases of the central nervous system, while the severity of the deficiency of 25(OH)D was associated with the severity of the disease course. In the early stages of the disease in all groups, a significant increase in the level of the main myelin protein was found, while an increase in the concentration of other NSP was observed less frequently and was associated with a severe and complicated course of the disease. Correlations of different intensity and direction between NSP and 25(OH)D were found, which indicates their importance in the pathogenesis of inflammatory diseases of CNS.
Transtorno de Estresse Pós-Traumático em Policial Militar
Authors: Da Cunha Pedro Alexander Beron , Dick Nídea Rita Michels , Pires Charlene Garcia , Pinto Joséli Do Nascimento
Published: August 2019

Introdução: Diversos transtornos mentais podem acometer o indivíduo que exerce um trabalho onde vivencia constantemente situações de violência, como a dos Policiais Militares, sendo um deles o transtorno de estresse pós-traumático (TEPT).Objetivo: analisar os dados da Seção Biopsicossocial da Brigada Militar sobre o “TEPT em Policiais Militares” no período entre janeiro de 2014 a maio de 2015. Metodologia: O delineamento foi quantitativo, exploratório, retrospectivo e documental. O projeto foi submetido à avaliação e aprovação do Instituto de Pesquisa da Brigada Militar (IPBM). A coleta de dados foi analisada nos prontuários do serviço. Resultados: A maioria dos policiais militares atendidos foram encaminhados a seção Biopsicossocial através das Visitas Médicas 47,82%. Constata-se que 39,13% dos policiais militares foram encaminhados por envolvimento em ocorrências de vulto. Já 30,43% foram por motivos relacionados ao serviço da Brigada Militar, apenas 21% dos policiais militares por motivos pessoais. Observa-se que o Transtorno de estresse pós-traumático representa 6% dos atendimentos. Conclusão: Desse modo, ressalta-se que a saúde mental dos policiais militares merece uma atenção especial no planejamento estratégico de nossa instituição. Acredita-se que, com isto, estaremos contribuindo para a melhora da qualidade de vida e do desempenho no trabalho do policial e, como consequência, a primazia na prestação do serviço à comunidade.
Mapeamento da produção científica internacional sobre Valores Humanos Básicos
Authors: Da Silva Sousa Evangelina , Silveira Fontenele Raimundo Eduardo
Published: August 2019

A publicação de documentos científicos representa o corpo de conhecimento produzido por pesquisadores especializados em determinada área do saber, bem como uma ferramenta de avaliação por meio de estudos bibliométricos que fornecem o mapeamento da produção científica nos contextos nacional e internacional. Considerando a importância dos Valores Humanos Básicos e a diversidade das investigações que examinam este constructo na área das Ciências Sociais, esta pesquisa buscou mapear as características da produção científica internacional, especificamente, sobre os Valores Humanos Básicos. Para tanto, realizou-se uma pesquisa de natureza exploratória e descritiva, com abordagem quantitativa e do tipo bibliométrica, uma vez que foram utilizados indicadores de atividade acadêmica como: redes de coautoria, cocitação, acoplamento bibliográfico e coocorrência de palavras-chave. Optou-se pela investigação de documentos científicos, da categoria artigos, disponíveis na base de dados Scopus, sem restrição temporal. Após exclusão de documentos duplicados, a amostra resultou em 490 documentos que foram analisados com auxílio do software bibliométrico VosViewer. Os resultados apontam que: i) o interesse pela temática é recente e passa por um momento de estabilidade; ii) o autor com a quantidade de publicações mais expressiva é o idealizador da Teoria dos Valores Humanos Básicos; iii) as abordagens eminentes referem-se às investigações empíricas que mensuram os valores sobre a perspectiva da Teoria dos Valores Humanos Básicos e estabelecem a relação da referida teoria com a psicologia social com diversos sujeitos de pesquisa.
Tomada de decisão do gestor escolar das escolas públicas de ensino médio no Distrito Federal e a interface com o letramento informacional
Authors: Pereira Patrícia Resende , Gasque Kelley Cristine Gonçalves Dias
Published: August 2019

O estudo analisou o comportamento de busca e uso da informação para a tomada de decisão do gestor escolar, em relação aos padrões de letramento informacional nas escolas de ensino médio do Distrito Federal  da rede pública de ensino. A pesquisa é de natureza quali-quantitativa, com uso de documentos oficiais do sistema educacional do Distrito Federal, questionário e entrevista semiestruturada. Os resultados mostram que o principal acesso à informação é realizado pela internet e que o volume de dados, aliado à falta de tempo para obtenção de informações, dificulta a tomada de decisão. Para tomar decisões, os gestores consultam informações disponíveis na escola, além do projeto político pedagógico. Verificam a origem da informação recebida e os resultados alcançados pela escola nas avaliações externas do governo. Por fim, os dados coletados pelos gestores educacionais, em relação aos padrões do letramento informacional, mostram o desenvolvimento de poucas habilidades e a necessidade de formação sistemática e adequada para aprender a lidar com a informação.
POLÍTICAS DEL ORDENAMIENTO ECOLÓGICO DE TABASCO
Authors: Gama Campillo Lilia María , Díaz López Hilda María , Collado Torres Ricardo Alberto , Salazar Conde Erika del Carmen , Moguel Ordoñez Eduardo Javier
Published: August 2019

El ordenamiento ecológico es un instrumento que, de acuerdo a la Ley de Protección Ambiental del Estado de Tabasco, se usa en la política ambiental para definir usos del suelo, recursos naturales y actividades productivas. Con esto, la política se hace compatible con la conservación de la biodiversidad y el desarrollo regional. Se basa en un análisis del deterioro del territorio y su potencial de aprovechamiento, considerando los eventos hidrometeorólogicos que se registran en el Estado. Este instrumento incluye políticas de uso y criterios para disminuir la vulnerabilidad de la población. En este instrumento se asignan seis tipos de políticas de uso de acuerdo a la aptitud del suelo, su grado de deterioro y vulnerabilidad al cambio climático. La política de protección hidrológica se aplicó a ecosistemas acuáticos asociada a captar agua de escurrimientos, lluvias y recarga de acuíferos, permitiendo tener estrategias de desarrollo a corto y mediano plazo en relación a la vulnerabilidad de la población.
Data-Driven Predictive Modeling of Neuronal Dynamics using Long Short-Term Memory
Authors: Plaster Benjamin , Kumar Gautam
Published: August 2019

Modeling brain dynamics to better understand and control complex behaviors underlying various cognitive brain functions are of interests to engineers, mathematicians, and physicists from the last several decades. With a motivation of developing computationally efficient models of brain dynamics to use in designing control-theoretic neurostimulation strategies, we have developed a novel data-driven approach in a long short-term memory (LSTM) neural network architecture to predict the temporal dynamics of complex systems over an extended long time-horizon in future. In contrast to recent LSTM-based dynamical modeling approaches that make use of multi-layer perceptrons or linear combination layers as output layers, our architecture uses a single fully connected output layer and reversed-order sequence-to-sequence mapping to improve short time-horizon prediction accuracy and to make multi-timestep predictions of dynamical behaviors. We demonstrate the efficacy of our approach in reconstructing the regular spiking to bursting dynamics exhibited by an experimentally-validated 9-dimensional Hodgkin-Huxley model of hippocampal CA1 pyramidal neurons. Through simulations, we show that our LSTM neural network can predict the multi-time scale temporal dynamics underlying various spiking patterns with reasonable accuracy. Moreover, our results show that the predictions improve with increasing predictive time-horizon in the multi-timestep deep LSTM neural network.
Effect of Aether Field on Weak Deflection Angle of Black Holes
Authors: Övgün Ali , Sakallı İzzet , Saavedra Joel
Published: August 2019

We study the light rays in a static and spherically symmetric gravitational field of null aether theory (NAT). To this end, we employ the Gauss-Bonnet theorem to compute the deflection angle by a NAT black hole in the weak limit approximation. Using the optical metrics of the NAT black hole, we first obtain the Gaussian curvature and then calculate the leading terms of the deflection angle. Our calculations show how gravitational lensing is affected by the NAT field. We also show once again that the bending of light stems from a global and topological effect.
Fluid-based field representation for collision risk assessment on the road scenes
Authors: Li Xuanpeng , Zhu Lifeng
Published: August 2019

Prediction of the likely evolution in the traffic scenes is a challenging task because of high uncertainty of sensing technology and dynamic environment. It leads to failure of planning for intelligent agents like autonomous vehicles. In this paper, we propose a fluid-based physical model to present the influence of surrounding object's motion on driving safety. In our pipeline, the input sensor could be LiDAR, camera, or multi-modal data. We use a Kalman filter to estimate the state space of each detected object, and adopt the properties of stable fluid to build a riskmap based on the density field. The noisy state space are then modeled as the boundary conditions in the simulation of advection and diffusion process. We test our approach on the public KITTI dataset and find this model could handle the short-term prediction in case of misdetection and tracking failure caused by object occlusion, which shows promising in collision risk assessment on road scenes.
Urban Train Soil-Structure Interaction Modeling and Analysis
Authors: Mohammadzadeh S. Danial , Karballaeezadeh Nader , Mohemmi Morteza , Mosavi Amir , R. Várkonyi-Kóczy Annamária
Published: August 2019

Design and advancement of the durable urban train infrastructures are of utmost importance for reliable mobility in the smart cities of the future. Given the importance of urban train lines, tunnels, and subway stations, these structures should be meticulously analyzed. In this research, two-dimensional modeling and analysis of the soil-structure mass of the Alan Dasht station of Mashhad Urban Train are studied. The two-dimensional modeling was conducted using Hashash’s method and displacement interaction. After calculating the free-field resonance and side distortion of the soil mass, this resonance was entered into PLAXIS finite element program, and finally, stress and displacement contours together with the bending moment, shear force and axial force curves of the structure were obtained.
Initial Results on Deep Learning-Based Pilot Contamination Mitigation in Massive MIMO Systems
Authors: Pereira de Figueiredo Felipe Augusto
Published: August 2019

In this brief letter we report our initial results on the application of deep-learning to the massive MIMO channel estimation challenge. We show that it is possible to estimate wireless channels and that the possibility of mitigating pilot-contamination with deep-learning is possible given that the leaning model underwent an extensive training-phase and that it has been presented with a large number of different channel conditions.
Role of Teat Dipping After Milking for Subclinical Mastitis Control and Improving Production of Dairy Cow
Authors: Wicaksono Ardilasunu , Sudarnika Etih , Pisestyani Herwin , Sudarwanto Mirnawati , Zahid Abdul , Nugraha Arifin Budiman , Lubis Muhammad Pauzi , Patsiwi Iccha Pradipta
Published: August 2019

This study was aimed to compare somatic cell count and milk production on dairy cattle after teat dipping post milking application. Samples collected from total of 121 quarters of dairy cattle in normal lactation period and identified as infected by subclinical mastitis. Subclinical mastitis examination was done by IPB Test Mastitis Test, somatic cell count calculation was done by Breed Method, and observation of milk production was done by calculating milk volume per quarter. Observations were performed during normal lactation periods of 12 weeks. Data were analyzed statistically using Mann-Whitney Test and unpaired t-test. The results showed that the number of somatic cells count in the treatment group with post milking teat dipping application was lower than in the control group and significantly different at week 11 (p = 0.039). Furthermore, the volume of milk production in the treatment group was higher than in the control group and significantly different in almost all weeks of observation (p<0.05). It was showed that post milking teat dipping application can prevent subclinical mastitis infection effectively, seen from low somatic cell count (below 400.000 cells/ml) and can maintain optimum milk production. So that, this application can increase the economic benefits for dairy farmers.
The Adaptation of Small Intestine Nitregic Myenteric Neurons on Rats (Rattus norvegicus) to High Fat Diet
Authors: Hana Amelia , Sarmin Sarmin , Airin Claude Mona , Santosa Christin Marganingsih , Astuti Pudji
Published: August 2019

High fat diet can result in the loss of nitrergic neurons in the myenteric plexus. The study aimed at finding out the effect of high fat diet on the adaptation of nitrergic nerve of rat intestine. It used 15 male rats (Rattus norvegicus) of a month of age with mean body weight of 53.73 gr. The rats were adapted for 7 days to individual cages with ad libitum feeding. After random adaptation, all of the rats were assigned to 3 groups of five rats, namely K-7, K-10, and K-13 groups. Feed and drinking water were given ad libitum. The treatment of the high fat diet lasted for 7 weeks. After the treatment, all of the rats were fasted for 12 hours and then killed. Subsequently, small intestine segments (duodenum, jejunum, and ileum) were taken. The intestinal segments were prepared by using NADPH-d histopathological technique to determine the morphometric changes of nitrergic myenteric neurons. During the treatment the rats were weighed every week and at the end of the study orbitalis vein blood measurement was carried out to see its glucose, cholesterol and cholecystokinin (CCK) plasma levels. The data of body weight, glucose, cholesterol, CCK levels, the total number of the nippergenic myenteric segments of the small intestine were statistically analyzed using Anova. The results of the study showed that the treatment of 7% to 13% fat diets for 7 weeks did not indicate any weight gain and any increase in cholescystokinin level, and any decrease in glucose level. However, it indicated significant increase in cholesterol level. The treatment of 10% and13% fat diets increased the total number of neurons in the jejunum and the ileum. Thus, it was concluded that the treatments of the high-fat diet of the rats (K-7, K-10, and K-13) for 7 weeks had significant effect on the adaptation of the neurons of the jejunum and the ileum.