bluuebunny/crossref_metadata_2025 huggingface dataset:
Higher Education and Corruption: Macedonian Alumni Experiences
Authors: Pajaziti Dr. Sc. Ali
Published: July 2018

Corruption (lat. corruptio, corrumpere, pervert) means dishonest or fraudulent conduct by those in power, typically involving bribery. The most general meaning of corruption, as systematic phenomena (Dinkovski, 20012: 12), is impurity, infection, or decay. It is abuse of public power for personal interests that distort the social institutions. This destructive phenomenon is very present in the Balkan countries. Some 50 % of the population of the Western Balkan believe that corruption practices occur often or very often in a number of public institutions (from central and local government, parliament, hospitals, judiciary and the police). One in six citizens of the Western Balkans citizens had either direct or indirect exposure to a bribery experience with a public official. (Bisogno, 2010: 9, 15) This research is done in 2012 and includes interviews with 25 alumni from different universities in Macedonia, treating the abovementioned issue from clients’, i.e. student’s perspective, based on the experience of corruption during the years of studies. From the analytical approach we concluded that other forms of corruption (favoritism, book buying, sexual services) are more present than bribery or direct payment in our universities, that reporting corruption cases is not occurring from revenge fear and that all student declare that corruption damages education and their future prospect.
Globalisation as a facilitator of terroris
Authors: Mekaj MA. Genc
Published: July 2018

Terrorism is a phenomenon that develops over time, always bringing about gradual change of form and activity. Terrorist groups organize terrorist attacks based on ideologies. Terrorism is one of the biggest problems facing the world today. Terrorists are always at odds with the rule of law, with the norms and ideals of civilization itself. Terrorism is the use of fear or violence to overthrow a government and society in accepting a radical political or social change. It is geographically widespread and ideologically selected.The process of globalization, which includes the technological, economic boom, cultural boundaries between countries around the world has fostered a culture corrupt market in traditional communities. Many places consider this as a threat to their country. Globalization has somewhat helped terrorism, moreover has brought the involvement of the latest and latest technologies
Measuring Rotation and Manure Effects in an Iowa Farm Soil Health Assessment
Authors: Karlen Douglas L. , Obrycki John F.
Published: July 2018

Core Ideas

Farms with known management histories contribute to soil health research.

Rotation‐based systems may increase soil organic carbon when combined with appropriate tillage.

Inherent soil properties must be considered in soil health assessments.

Rotation effects were more noticeable than manure effects on soil health groupings.

Data from on‐farm sites with known management histories are needed to quantify soil biological, chemical, and physical properties influencing carbon stocks and soil health. Surface (0–15 cm) and deep core (0–122 cm) soil samples were collected from fields under two rotations in Boone County, IA. The first was a 5‐yr corn [Zea mays (L.)], soybean [Glycine max (L.) Merr.], corn, oat [Avena sativa (L.)], and alfalfa [Medicago sativa (L.)] rotation to which 0, 18, or 36 Mg ha−1 of a manure/biosolids mixture was applied prior to planting corn. The second was an 8‐yr rotation with 6 yr of mixed grass and legume pasture followed by corn and an oat crop within which the pasture mixture was reestablished. Soil samples were collected evenly across the predominant soil map units (SMUs). Bulk density (BD), soil organic C (SOC), water‐stable aggregates (WSA), microbial biomass carbon (MBC), pH, Mehlich‐3 and diethylenetriaminepentaacetic acid (DTPA) extractable nutrients, electrical conductivity (EC), and nitrogen (total‐, NH4–, and NO3–N) were measured. Surface SOC data were consistent with Soil Survey values for the various SMUs. Crop rotation effects were more noticeable than manure/biosolid application rate effects. Data from this study were combined with previously published SOC data in Iowa. Results suggest extended rotation systems or those with cover crops may increase SOC 8 ± 4 g kg−1 compared to corn–soybean rotations (33 vs. 25 g kg−1). This study provides on‐farm reference values for soil health assessment tools and draws attention to the importance of inherent soil properties for these assessments.
Numerical and Experimental Investigations of Cesium and Strontium Sorption and Transport in Agricultural Soils
Authors: Berns Anne E. , Flath Alexander , Mehmood Khalid , Hofmann Diana , Jacques Diederik , Sauter Martin , Vereecken Harry , Engelhardt Irina
Published: July 2018

Core Ideas

Cation exchange (CE) on illite, a main sorption process for Cs+, is driven by Cs+ concentration.

Undefined CE and surface complexation on OM are main sorption processes for Sr2+.

137Cs+ migrated only into shallow depths of a few centimeters after 3 yr.

90Sr2+ migrated into deeper layers of the soil due to competitive sorption.

A process‐based knowledge of the sorption mechanisms in soils is a prerequisite for the prediction of radionuclide transport in soils, plant availability, and leaching risk into groundwater. The present study combined batch sorption experiments of Cs+ and Sr2+ in agricultural soils of differing soil texture with numerical experiments using PHREEQC to identify key processes of sorption at different temperatures. Sorption was simulated for both radionuclides using cation exchange models. In addition, surface complexation was integrated into the reaction network for Sr2+. Our geochemical simulations identified cation exchange on illite as the dominant sorption process for Cs+. Selection of the site types in Cs+ sorption was mainly driven by Cs+ concentration. At low Cs+ concentrations the highly selective frayed edge sites dominated sorption behavior, while less affine site types on illite constituted the major sorption partners at high concentrations. We identified undefined cation exchange as the dominant sorption process for Sr2+, followed by surface complexation on organic matter. These process‐based analyses were the basis for field‐scale simulations to predict the leaching risk of Cs and Sr radionuclides in agricultural soils under humid climate conditions. For both soils and radionuclides, the distribution coefficients (Kd) varied distinctly with time in shallow layers due to changes in temperature, saturation, and the prevailing dominant sorption processes. During a 3‐yr‐simulation period, 137Cs+ migrated to depths of 3.6 cm (silty loam) and 7.6 cm (sandy loam), while 90Sr2+ migrated to depths of 15.6 cm (silty loam) and 23.6 cm (sandy loam) due to competitive sorption of infiltrating Ca2+ and Mg2+ ions reducing 90Sr2+ sorption and displacing 90Sr2+ from its exchange sites.
Novel Trifluoromethylpyrazole Acyl Thiourea Derivatives: Synthesis, Antifungal Activity and Docking Study
Authors: Wang Han , Zhai Zhi-Wen , Shi Yan-Xia , Tan Cheng-Xia , Weng Jian-Quan , Han Liang , Li Bao-Ju , Liu Xing-Hai
Published: July 2018

Background:

In recent years, pyrazole carboxamide derivatives possessed excellent
fungicidal activity. In the process of designing new fungicides, the carboxamide group was modified
in order to find novel structure pyrazole carboxamide derivatives.

Methods:

Ten novel trifluoromethyl pyrazole acyl thiourea derivatives were designed and synthesized.
In vivo fungicidal activities of these compounds were tested against Fusarium oxysporum,
Corynespora mazei and Botrytis cinerea, respectively

Results:

Particularly compounds exhibited significant control effective at 100 mg/L. More importantly,
some compounds showed the good control effective at 10 mg/L. Furthermore, docking
was established to study the structure-activity relationship of the title compounds.

Conclusion:

It is possible that trifluoromethylpyrazole acyl thiurea derivatives, which possess good
control effective against Botrytis cinerea, may become novel lead compounds for the development
of fungicides with further structure modification.
Investigation of Electrochemical Nanostructuring with Ultrashort Pulses by Using Nanoscale Electrode
Authors: Liu Yong , Wu Xiujuan , Kong Huanghai
Published: July 2018

Background:

Electrochemical machining (ECM) is a non-traditional machining method
for the metal material based on the principle of anode electrochemical dissolution which has been
used in micro/nano fabrication with advantages as not influenced by materials intensity and hardness,
no residual stress and no heat treatment born on the surface of the workpiece. Several researches and
applications have shown that the surface quality can be improved effectively during the electrochemical
machining by using ultrashort pulse power supply.

Method:

This paper presents a potential of electrochemical machining at the nanometer scale. First, a
transient charging double layer mathematical model is developed to describe electrochemical
nanostructuring of metallic materials with ultrashort (nanosecond) voltage pulses. And then, by using
finite element method (FEM), the analysis model of electrochemical interface between poles is established
to give a more realistic analysis of the comparison of transient currents at different separations
between the tool and workpiece. Second, a nanoscale electrode is an essential tool in electrochemical
nanostructuring. In this paper, electrodes with diameters of several ten to hundred nanometers are
successfully prepared by the liquid membrane electrochemical etching. Finally, by using the nanometer
scale electrodes above and the ultrashort pulse power supply, several nanostructures with
physical dimension of several hundred nanometers are fabricated on nickelbased superalloys.

Results:

Using the optimal machining parameters, a tool electrode with 230 nm in diameter is obtained
from the initial tungsten rod radius of 100 μm. By using 0.05 M H2SO4 solution, the pulse
generator with 1μs in period, 100 ns in pulse on-time and 4 V in voltage, a micro/nano groove with
the depth of 150 nm and maximum entrance width of 3 μm is obtained.

Conclusion:

Nanoscale electrodes with diameters of several ten to hundred nanometers is obtained
successfully demonstrating that the liquid membrane electrochemical etching is a very effective
method to fabricate nanoscale electrode. Several nanostructures with physical dimension of several
hundred nanometers can be fabricated successfully demonstrating that ECM with ultrashort pulses is
a highly promising nanostructuring technology.
Physical Characterization of Alterites for the Manufacture of Compressed Earth Blocks
Authors: Tatiana Kamga Djoumen , Zinsou Codjo Luc , Marcel Vouffo , François Ngapgue
Published: July 2018

Introduction:

In the present work, the physical characteristics of two alterites (S1 and S2) used for Compressed Earth Blocks (CEB) manufacture were studied. The results obtained have shown that S1 and S2 consist of inorganic clays.

Methods:

The material S1 is a plastic soil of very soft consistency and S2 is a low plastic soil of very soft consistency. It was shown that the natural alterites studied are not suitable for the CEB manufacture. In order to improve the granulometry of these materials, a physical correction by adding sand in various proportions were proposed. With the aim of verifying the validity of the elaborated proposals, samples of CEB manufactured from materials stabilized with sand were manufactured and tested in the laboratory.

Results and Conclusion:

The results obtained show that, concerning the S1 material, the tensile strength is satisfactory for the sand/soil ratios of 1/3, 1/2 and 2/3. The abrasion resistance and the water absorption coefficient are satisfactory for the ratios of 1/3 and 1/2, respectively. For all the sand/soil ratios, the compressive strength has remained lower than that required for CEB as materials for load-bearing walls. For the S2 material, all the sand/soil ratios enable the improvement of the CEB characteristics, but these still below the required values. From all the foregoing, it follows that the studied alterites, improved by the addition of sand, can be used for the manufacture of compressed earth blocks to be used for the construction of non-load bearing walls.
Formal Psychological Assessment for Autism Spectrum Disorder Diagnosis: A New Methodology to Build An Adaptive Testing System
Authors: Pino Maria Chiara , Spoto Andrea , Mariano Melania , Granziol Umberto , Peretti Sara , Masedu Francesco , Valenti Marco , Mazza Monica , Vidotto Giulio
Published: July 2018

Background:

Early identification of Autism Spectrum Disorder (ASD) is of paramount importance in establishing effective interventions. Currently, the accepted gold standard for ASD diagnosis is the Autism Diagnostic Observation Schedule, 2nd Edition (ADOS-2).

Methods:

In our research study, we applied a novel approach to the ADOS-2 known as the Formal Psychological Assessment (FPA). The innovation of this methodology comes from the construction of a matrix that allows (1) the identification of the existing relations among items in terms of clinical symptoms and (2) an adaptive assessment of an individual.

Objective:

The aim of this study was to use a practical application of the FPA on the ADOS-2 and show its potential for psychological assessment of individuals with ASD. Particularly, this research raises some important considerations regarding the evaluation of this population and the authors propose future work to improve the quality of clinical assessment.

Results:

Our results suggest potential for the application of this new methodology to the ADOS-2 to support clinicians using diagnostic procedures.

Conclusion:

The use of FPA allows analysis of each item of ADOS’s modules based on the presence/absence of clinical elements. This system allows the identification of the critical areas for each individual and reduces the number of items required for the test.
Incipient Inter-Turn Short Circuit Fault Estimation Based on a Faulty Model Observer and ANN-Method for Induction Motor Drives
Authors: Bouakoura Mohamed , Naït-Saïd Mohamed-Said , Nait-Said Nasreddine
Published: July 2018

Background:

According to statistics, short circuit faults are the second most frequent
faults in induction motors. Thus, in this paper, we investigated inter turn short circuit faults in their
early stage.

Methods:

A new equivalent model of the induction motor with turn to turn fault on one phase has
been developed. This model has been used to establish two schemes to estimate the severity of the
short circuit fault. In the first scheme, the faulty model is considered as an observer, where a correction
of an error between the measured and the estimated currents is the kernel of the fault severity
estimator. However, to develop the second method, the model was required only in the training process
of an artificial neural network (ANN). Since stator faults have a signature on symmetrical components
of phase currents, the magnitudes and angles of these components were used with the mean
speed value as inputs of the ANN. A simulation on MATLAB of both techniques has been performed
with various stator frequencies.

Results:

The suggested schemes prove a unique efficiency in the estimation of incipient turn to turn
fault. Besides, the ANN based scheme is less complex which reduces its implementation cost.

Conclusion:

To monitor the stator of an induction motor, the choice of the appropriate algorithm
should be done according to the system in which the motor will be installed. If the motor is directing
connected to the grid or fed via an inverter with a variable DC bus voltage, the observer would be
better, otherwise, the ANN algorithm is recommended.
Comparison between Seven MPPT Techniques Implemented in a Buck Converter
Authors: El Mentaly Lahcen , Amghar Abdellah , Sahsah Hassan
Published: July 2018

Background:

The solar field on our planet is inexhaustible, which favors the use of photovoltaic
electricity which generates no nuisance: no greenhouse gases, no waste.

Methods:

It is a high value-added energy that is produced directly at the place of consumption
through photovoltaic (PV) solar panels. Notwithstanding these advantages, the maximum power depends
strongly on solar irradiation and temperature, which means that a Maximum Power Point
Tracking (MPPT) controller must be inserted between the PV panel and the load in order to follow
the Maximum Power Point (MPP) continuously and in real time. In this work, MPP’s behavior was
simulated at different temperatures and solar irradiations using seven techniques which identify the
MPP by different methods.

Results:

The novelty of this work is that the seven MPPT methods were compared according to a
very selective criterion which is the MPPT efficiency as well as a purely digital duty cycle control
without using the PI controller. The simulation under the PSIM software shows that the FLC, TP,
FSCC, TG, HC and IC methods have almost the same efficiency of 99%, whereas the FOCV method
had a low efficiency of 96%.

Conclusion:

This makes it possible to conclude that the best methods are FLC, HC and IC because
they use fewer sensors compared to the rest.
Hubungan Komunikasi Interpersonal Orang Tua dengan Perilaku Seksual Pranikah Remaja di Kota Padang
Authors: Putri Nita Tri , Dasuki Djaswadi , Wahyuni Budi
Published: July 2018

Background: The phenomenon that is troubling many parties at the present time is the pattern of the adolescent courtship leading to sexual intercourse. Most teens consider premarital sexual behavior is normal and common. Interpersonal communication parents is not good  to their children will cause conflicts that impact on adolescent premarital sexual behavior. By looking at the picture of interpersonal communication old man is expected to overcome adolescent premarital sexual behavior.Objektive : The purpose of this study was to determine the relationship between interpersonal communication of parents toward adolescent premarital sexual behavior.Method: This was an observational study using cross-sectional design and mixed methods approaches (quantitative and qualitative). The experiment was conducted at SMAN A, SMAN B, SMA C Idan MAN D Padang with research subjects totaling 299 teenagers. Informants for qualitative data that consists of 4 boys, 4 girls and 8 parents of the school to be studied.Results and Discussion: Indicates that there is a statistically significant relationship (p <0.05) between the independent variables (interpersonal  communication of parents) with dependent variable (adolescent premarital sexual behavior) with a RP 3.71 95% CI (2.62 to 5.25). interpersonal communication of parents after the controlled variable peers, the media and religiosity there is also an increase of 49%.Conclusion: premarital sexual behavior in adolescents at risk because interpersonal communication of parents are not good . Other factors that affect the risk of premarital sexual behavior in adolescents are peers, the media and the level of religiosity. The results of in-depth interviews permissiveness and emotionally intimate relationship  with parents also have an impact on the relationship is not good between parents and teenagers in interpersonal communication.Keywords: interpersonal communication of parents, adolescent premarital sexual behavior
Evaluasi Clinical Pathway Seksio Sesarea: Keefektifan Penggunaan Antibiotika Injeksi Cefotaxime 2 Gram dalam 24 Jam untuk Mencegah Terjadinya Infeksi Luka Operasi
Authors: Fauziah Rathi Manjari , Siswishanto Rukmono , Widad Shofwal
Published: July 2018

Background: The usage of prophylactic antibiotics in Dr. Sardjito Hospital, Yogyakarta, is still diverse. Previously, prophylactic antibiotics that were given would be in a form of multidose and or multidrug regimen. Recently, a clinical pathway for c-section had been set up to uniform the antibiotics given. Cefotaime 2g, given intravenously, in 24 hours is the antibiotic of choice. Unfortunately, there was no data about the effetiveness of cefotaime that can be used as a basis of clinical pathway. Objective: Comparing the incidence of surgical site infection (SSI) between cefotaime 2g,/24 hours (clinical pathway or CP) with previous regimen of prophylactic antibiotics (non-clinical pathway or nonCP) and also identify the risk factors.Method: This is a retrospective cohort study with 129 subjects, divided into two groups. The CP group consists of 63 subjects, while non-CP group consists of 66 subjects. The surgical site infection was observed in the day 3 and day 10 aer C-section. Multivariat analysis was used to determine the risk factors of SSI.Result and Discussion: SSI incidence in the CP group at day 3 was higher compared to non-CP group, but it was not statistically significant (OR 4,73 95% CI 0,52 43,04), eukocytosis (>17000/mcl) was the independent risk factor for SSI (OR 7,54 95% CI 1,25 45,39).Conclusion: SSI incidence between two groups was not statistically significant but was clinically significant. The presence of leukocytosis is becoming the risk factor for SSI.Keywords: prophylactic antibiotic, c-section, cesarean section, surgical site infectio
De abusos, dinastías y festejos. La prensa argentina ante la inauguración del Sitio de Memoria ESMA
Authors: Dagatti Mariano , Fernández Navarro María Belén
Published: July 2018

Este artículo tiene como objetivo específico indagar el tratamiento mediático de la inauguración del Sitio de Memoria esma, dentro de los festejos por el 205° aniversario de la Revolución de Mayo (Buenos Aires, Argentina). El propósito general es contribuir a un estudio del estado del discurso social en la Argentina contemporánea, tomando en cuenta el escenario de competencia por el verosímil público entre el campo político y los medios de comunicación masivos. Para ello, estudiamos la cobertura de tres de los principales medios de tirada nacional de la Argentina: Clarín, La Nación y Página 12. El texto considera tanto las hipótesis de lectura sugeridas por los medios como los contratos de lectura que cada uno de ellos sostiene con sus destinatarios. Los resultados indican, en líneas generales, que tanto Clarín como La Nación sugieren una instrumentalización de la inauguración por parte del gobierno para impulsar la campaña electoral de 2015, mientras que Página 12 resalta la dimensión popular y ritual de los festejos.
Diachronic trends in the evolution of civilizations in the Nile valley
Authors: Кормышева Элеонора , Kormysheva Eleonora
Published: July 2018

The diachronic trends in socio-economic and cultural development of the societies in the Nile valley are revealed based on the materials from Giza necropolis (the 3rd millennium BC) and the settlement of Abu Erteila (1st century AD). The research made it possible to trace the typological similarities in the evolution of the studied societies in cultural and historical contexts.

The main fields of the research were epigraphy, iconography, social history, and material culture.

Many previously unknown monuments discovered by Russian archaeologists in Egypt and Sudan were introduced into scientific discourse. The basis was created for studying the Nile valley as a contact zone between the Mediterranean world and Africa.
Globalization and Exploitation: The End of an Era
Authors: Ertan Ipek
Published: July 2018

With globalization and the changing distribution of power in the international system, non-state actors like Multinational Corporations (MNCs) have become very crucial players that need to be regulated by international laws, just as states are. However, the conflicting interests of business and human rights make it hard to regulate human rights violations by MNCs due to inadequate international mechanisms in place, which were not designed to apply to MNCs. This paper examines the inefficiencies of the current international regulatory frameworks and goes on to introduce “naming and shaming” of MNCs as an efficient method of regulation by explaining its impacts. Finally, it facilitates a transition from theory to practice, inspired by a project started by Social Justice Connection, an NGO located in Montreal. This further suggests a new international regulatory framework partnered with the World Trade Organization (WTO).
Considering the Qualitative Impacts of Safe-Stove Programs: Lessons from the Western Highlands of Guatemala
Authors: Gramiak Mary
Published: July 2018

In 2016, 2.6 million people died prematurely from indoor air pollution as a result of the inefficient burning of biomass fuels for cooking and energy in the global south. The health and environmental impacts of indoor air pollution have been well documented throughout decades of literature, and governments and non-governmental organizations alike have taken steps to implement “safe stove” programs to upgrade cookstoves in developing regions and begin to address these issues. While largely effective in reducing indoor air pollution and improving energy efficiency, the qualitative impacts of implementing safe stove programs have not yet been explored. This article aims to fill a gap in this literature by investigating why safe stoves are important to the women who participate in the projects, and what the qualitative impacts of combatting indoor air pollution are for communities as a whole. The research draws on in-depth interviews with women from the rural highlands of Guatemala in the Quetzaltenango region, and addresses topics such as dignity and self-esteem within these populations. Not intended to be a binding pieced of literature, this research serves as a good reminder that the focus of development initiatives should always be on improving the overall wellbeing of the participants who purportedly benefit from these projects.
IDENTIDADE, REFERENCIAÇÃO E TEXTO DIGITAL: UMA ANÁLISE LINGUÍSTICO-DISCURSIVA
Authors: Aranha Marize Barros Rocha , Cardoso Evaldo Carlos De Oliveira
Published: July 2018

RESUMO: Ao articularmos os pressupostos teóricos da referenciação à questão da identidade e texto digital, mostraremos que essa tríplice relação é possível numa perspectiva de análise linguística e discursiva. Para tanto, fazemos uma breve abordagem sobre a trajetória evolutiva da Linguística Textual, com foco na referenciação, processo fundamental para a construção do sentido do texto; discutimos acerca da identidade do sujeito, a partir dos processos referenciais, enfatizando a construção dos objetos de discurso; também discorremos sobre o texto digital e suas características, centrando-nos na rede social Facebook como espaço de escrita do texto digital. O aporte teórico é constituído pelos seguintes autores: Araújo e Leffa (2016), Antunes (2010 e 2017), Barton e Lee (2015), Cavalcante (2003, 2012, 2013 e 2014), Charaudeau (2012), Hall (1999), Koch (2010, 2014, 2015 e 2017), Martins (2016), Mondada e Dubois (2016), Roncarati (2010), Shepherd e Saliés (2013) e Silva (2007).Palavras-chave: Identidade; Referenciação; Texto digital; Discurso.
REFERENCIAÇÃO E CONSTRUÇÃO DE IDENTIDADE FEMININA NO TEXTO PUBLICITÁRIO DA NATURA
Authors: Faria Maria da Graça Dos Santos , Araujo Keila de Jesus Ribeiro
Published: July 2018

Esse trabalho tem como objetivo analisar como os processos de referenciação ajudam a construir as identidades social e discursiva da mulher em textos da publicidade brasileira. Neste caso, investigaremos a relação entre Referenciação e Identidade em um texto publicitário veiculado pela Natura. Para tal, utilizaremos as contribuições de Hall (2006) e Silva (2000) sobre Identidade; os estudos de Cavalcante (2011, 2014), Capistrano Júnior (2017) e Ciula (2008) da área da Linguística Textual, voltados para a Referenciação, e o texto de Sandmann (2007) relacionado à publicidade. A análise será realizada a partir de uma propaganda da Natura, de outubro de 2016 e divulgada na Internet, em que destacaremos os processos referenciais – anafóricos e dêiticos, que auxiliam na construção dos referentes e da identidade.   PALAVRAS-CHAVE: Identidade; Referenciação; Publicidade.
A INFORMATIVIDADE NA SALA DE AULA: INVESTINDO EM ATIVIDADES PARA A PRODUÇÃO DE TEXTOS ARGUMENTATIVOS
Authors: Arnemann Aline Rubiane , Veçossi Cristiano Egger
Published: July 2018

Neste trabalho, analisamos uma atividade desenvolvida durante a pesquisa de Arnemann (2017) que focalizou o princípio de informatividade, com alunos do Ensino Médio noturno, verificando como a articulação entre atividades linguísticas e epilinguísticas contribui para a obtenção de avanços na produção escrita de gêneros argumentativos. O referencial teórico traz autores da Linguística do Texto (LT) no que concerne à informatividade (BEAUGRANDE e DRESSLER, 1981; VAL, 1994), agregando, também, autores da Ciência da Informação (CAPURRO e HJORLAND, 2007; CUNHA, 2001). Ademais, quanto ao ensino e à aprendizagem de Língua Portuguesa, discutimos uma abordagem que prioriza as atividades sobre os exercícios (ENGSTRÖM, 2002), classificando-as em: linguísticas, epilinguísticas e metalinguísticas (FRANCHI, 2006; GERALDI, 1991; TRAVAGLIA, 1995), a qual sustentou a análise. Os resultados revelam avanços na informatividade das produções, os quais se deveram, principalmente, à articulação entre procedimentos de natureza linguística (produção e compreensão de textos) e epilinguística (reflexão a partir da produção).
Enfermedad inflamatoria intestinal: características de fenotipo y tratamiento en un hospital universitario de Bogotá, Colombia.
Authors: Reyes Medina Gustavo Adolfo , Gil Parada Fabio Leonel , Carvajal Patiño Germán David , Sánchez Luque Carlos Bernardo , Aponte Martin Diego Mauricio , González Carlos Arturo , Gamba Hernández Johana Ibeth , Preciado Aponte Javier Alberto , Marulanda Gómez Juan Carlos , Sabbagh Sanvicente Luis Carlos
Published: July 2018

Introducción: La enfermedad inflamatoria intestinal (colitis ulcerativa, enfermedad de Crohn) es una patología inflamatoria crónica y recurrente del tracto digestivo, de causa aún incierta. La incidencia y prevalencia de esta enfermedad están en aumento a nivel mundial, y en especial en los países en vía de desarrollo.Objetivos: Describir las características del fenotipo y el tipo de tratamiento administrado a 165 pacientes con diagnóstico de enfermedad inflamatoria intestinal que consultaron durante el período comprendido entre el 5 de julio del 2013 y el 31 de diciembre del 2016 en un hospital universitario de la ciudad de Bogotá, Colombia.Materiales y métodos: Se realizó un estudio descriptivo basado en frecuencias y proporciones de los pacientes con diagnóstico de enfermedad inflamatoria intestinal atendidos en la Clínica Universitaria Colombia (Bogotá) entre el 5 de julio del 2013 y el 31 de diciembre del 2016.Resultados: El 75.8% de los casos correspondieron a CU y el 24.2% a EC, con un leve predominio del sexo femenino en ambas (56%, 55% respectivamente); la forma de presentación más frecuente de la CU fue la pancolitis en el 46.4%. Los pacientes con EC tuvieron un compromiso más frecuente ileocolonico (52.5%) e inflamatorio no estenosante ni fistulizante (60%), un mayor porcentaje de manifestaciones extraintestinales (35%), de uso de medicamentos biológicos (35%) y requirieron un mayor número de cirugías (27.5%) comparados con los pacientes con CU.
PARADIGM DECONSTRUCTION OF JEJAK DEDARI YANG MENARI DI ANTARA MITOS DAN KARMA A NOVEL BY ERWIN ARNADA
Authors: Pratiwi Paramita Nur , Suyitno Suyitno , Wardani Nugraheni Eko
Published: July 2018

This paper aim to describe paradigm deconstruction of previous basic thought about Balinese myth in a Jejak Dedari yang Menari di Antara Mitos dan Karma, a novel by Erwin Arnada. This paper is qualitative descriptive. This paper using content analysis method  with deconstruction literacy approach. The text of Jejak Dedari yang Menari di Antara Mitos dan Karma a novel  by Erwin Arnada was used as source of paper data that published in 2016 by Gagas Media. Data collection techniques used in this paper are reading, record and data card techniques. The data validity used triangulacy theory. The result in this paper are (1) Myths of Kolok children, and (2) Sincerity and taksu bring the new soul. Both results obtained reveal that the belief in something can be overturned so that what is commonly considered as a belief can be dismantled into taboos or vice versa.Keyword: Deconstruction, Myth, Novel, Erwin ArnadaDEKONSTRUKSI PARADIGMA DALAM  NOVEL  JEJAK  DEDARI YANG MENARI DI ANTARA MITOS DAN KARMA KARYA ERWIN ARNADAAbstrakPenelitian ini bertujuan untuk mendeskripsikan dekonstruksi paradigma tentang dasar pemikiran terdahulu terhadap suatu mitos yang berada di Bali dalam novel Jejak Dedari yang Menari di Antara Mitos dan Karma karya Erwin Arnada. Penelitian ini berbentuk deskriptif  kualitatif. Metode yang digunakan adalah metode content analysis dengan pendekatan dekonstruksi sastra. Sumber data penelitian ini adalah teks novel yang berjudul Jejak Dedari yang Menari di Antara Mitos dan Karma karya Erwin Arnada yang dirilis pada tahun 2016 produksi GagasMedia. Teknik pengumpulan data dalam penelitian ini adalah teknik baca, catat dan kartu data. Validitas data menggunakan triangulasi teori. Hasil penelitian ini memaparkan, (1) Mitos anak kolok, dan (2) Ketulusan dan taksu menghadirkan jiwa yang baru. Kedua hasil yang didapat mengungkapkan bahwa kepercayaan terhadap sesuatu dapat dijungkirbalikan sehingga hal yang biasanya dianggap lumrah dan sudah menjadi keyakinan dapat dibongkar menjadi hal yang tabu atau sebaliknya.Kata Kunci: Dekonstruksi, Mitos, Novel, Erwin Arnada
LIBERDADE DE EXPRESSÃO, INFORMAÇÃO E DE IMPRENSA: OS LIMITES DA PUBLICIDADE NO CONTEXTO DA COLABORAÇÃO PREMIADA
Authors: Giacomolli Nereu José , Lora Deise Helena Krantz
Published: July 2018

As liberdades de expressão, informação e imprensa são inerentes aos estados democráticos. Contudo, os direitos ao estado de inocência, dignidade e contraditório também se constituem em valores fundamentais. Neste sentido, a previsão da colaboração premiada no processo penal brasileiro - ato oficial, jurisdicionalizado e com forte apelo popular - implica em flagrante conflito entre os direitos citados, principalmente no que se refere à divulgação de informações relativas à exposição de terceiros. Disso decorem duas alternativas procedimentais: conceder à avença contraditório amplo, ou permitir sua publicidade apenas após a manifestação de todos os implicados.
View-Volume Network for Semantic Scene Completion from a Single Depth Image
Authors: Guo Yuxiao , Tong Xin
Published: July 2018

We introduce a View-Volume convolutional neural network (VVNet) for inferring the occupancy and semantic labels of a volumetric 3D scene from a single depth image. Our method extracts the detailed geometric features from the input depth image with a 2D view CNN and then projects the features into a 3D volume according to the input depth map via a projection layer. After that, we learn the 3D context information of the scene with a 3D volume CNN for computing the result volumetric occupancy and semantic labels. With combined 2D and 3D representations, the VVNet efficiently reduces the computational cost, enables feature extraction from multi-channel high resolution inputs, and thus significantly improve the result accuracy. We validate our method and demonstrate its efficiency and effectiveness on both synthetic SUNCG and real NYU dataset.
Deep Attribute Guided Representation for Heterogeneous Face Recognition
Authors: Liu Decheng , Wang Nannan , Peng Chunlei , Li Jie , Gao Xinbo
Published: July 2018

Heterogeneous face recognition (HFR) is a challenging problem in face recognition, subject to large texture and spatial structure differences of face images. Different from conventional face recognition in homogeneous environments, there exist many face images taken from different sources (including different sensors or different mechanisms) in reality. Motivated by human cognitive mechanism, we naturally utilize the explicit invariant semantic information (face attributes) to help address the gap of different modalities. Existing related face recognition methods mostly regard attributes as the high level feature integrated with other engineering features enhancing recognition performance, ignoring the inherent relationship between face attributes and identities. In this paper, we propose a novel deep attribute guided representation based heterogeneous face recognition method (DAG-HFR) without labeling attributes manually. Deep convolutional networks are employed to directly map face images in heterogeneous scenarios to a compact common space where distances mean similarities of pairs. An attribute guided triplet loss (AGTL) is designed to train an end-to-end HFR network which could effectively eliminate defects of incorrectly detected attributes. Extensive experiments on multiple heterogeneous scenarios (composite sketches, resident ID cards) demonstrate that the proposed method achieves superior performances compared with state-of-the-art methods.
When Image Denoising Meets High-Level Vision Tasks: A Deep Learning Approach
Authors: Liu Ding , Wen Bihan , Liu Xianming , Wang Zhangyang , Huang Thomas
Published: July 2018

Conventionally, image denoising and high-level vision tasks are handled separately in computer vision. In this paper, we cope with the two jointly and explore the mutual influence between them. First we propose a convolutional neural network for image denoising which achieves the state-of-the-art performance. Second we propose a deep neural network solution that cascades two modules for image denoising and various high-level tasks, respectively, and use the joint loss for updating only the denoising network via back-propagation. We demonstrate that on one hand, the proposed denoiser has the generality to overcome the performance degradation of different high-level vision tasks. On the other hand, with the guidance of high-level vision information, the denoising network can generate more visually appealing results. To the best of our knowledge, this is the first work investigating the benefit of exploiting image semantics simultaneously for image denoising and high-level vision tasks via deep learning.
Crowd Counting using Deep Recurrent Spatial-Aware Network
Authors: Liu Lingbo , Wang Hongjun , Li Guanbin , Ouyang Wanli , Lin Liang
Published: July 2018

Crowd counting from unconstrained scene images is a crucial task in many real-world applications like urban surveillance and management, but it is greatly challenged by the camera’s perspective that causes huge appearance variations in people’s scales and rotations. Conventional methods address such challenges by resorting to fixed multi-scale architectures that are often unable to cover the largely varied scales while ignoring the rotation variations. In this paper, we propose a unified neural network framework, named Deep Recurrent Spatial-Aware Network, which adaptively addresses the two issues in a learnable spatial transform module with a region-wise refinement process. Specifically, our framework incorporates a Recurrent Spatial-Aware Refinement (RSAR) module iteratively conducting two components: i) a Spatial Transformer Network that dynamically locates an attentional region from the crowd density map and transforms it to the suitable scale and rotation for optimal crowd estimation; ii) a Local Refinement Network that refines the density map of the attended region with residual learning. Extensive experiments on four challenging benchmarks show the effectiveness of our approach. Specifically, comparing with the existing best-performing methods, we achieve an improvement of 12\% on the largest dataset WorldExpo’10 and 22.8\% on the most challenging dataset UCF\_CC\_50
Dilated Convolutional Network with Iterative Optimization for Continuous Sign Language Recognition
Authors: Pu Junfu , Zhou Wengang , Li Houqiang
Published: July 2018

This paper presents a novel deep neural architecture with iterative optimization strategy for real-world continuous sign language recognition. Generally, a continuous sign language recognition system consists of visual input encoder for feature extraction and a sequence learning model to learn the correspondence between the input sequence and the output sentence-level labels. We use a 3D residual convolutional network (3D-ResNet) to extract visual features. After that, a stacked dilated convolutional network with Connectionist Temporal Classification (CTC) is applied for learning the mapping between the sequential features and the text sentence. The deep network is hard to train since the CTC loss has limited contribution to early CNN parameters. To alleviate this problem,  we design an iterative optimization strategy to train our architecture. We generate pseudo-labels for video clips from sequence learning model with CTC, and fine-tune the 3D-ResNet with the supervision of pseudo-labels for a better feature representation. We alternately optimize feature extractor and sequence learning model with iterative steps. Experimental results on RWTH-PHOENIX-Weather, a large real-world continuous sign language recognition benchmark, demonstrate the advantages and  effectiveness of our proposed method.
Cross-media Multi-level Alignment with Relation Attention Network
Authors: Qi Jinwei , Peng Yuxin , Yuan Yuxin
Published: July 2018

With the rapid growth of multimedia data, such as image and text, it is a highly challenging problem to effectively correlate and retrieve the data of different media types. Naturally, when correlating an image with textual description, people focus on not only the alignment between discriminative image regions and key words, but also the relations lying in the visual and textual context. Relation understanding is essential for cross-media correlation learning, which is ignored by prior cross-media retrieval works. To address the above issue, we propose Cross-media Relation Attention Network (CRAN) with multi-level alignment. First, we propose visual-language relation attention model to explore both fine-grained patches and their relations of different media types. We aim to not only exploit cross-media fine-grained local information, but also capture the intrinsic relation information, which can provide complementary hints for correlation learning. Second, we propose cross-media multi-level alignment to explore global, local and relation alignments across different media types, which can mutually boost to learn more precise cross-media correlation. We conduct experiments on 2 cross-media datasets, and compare with 10 state-of-the-art methods to verify the effectiveness of proposed approach.
Big City vs. the Great Outdoors: Voter Distribution and How It Affects Gerrymandering
Authors: Borodin Allan , Lev Omer , Shah Nisarg , Strangway Tyrone
Published: July 2018

Gerrymandering is the process by which parties manipulate boundaries of electoral districts in order to maximize the number of districts they can win. Demographic trends show an increasingly strong correlation between residence and party affiliation; some party’s supporters congregate in cities, while others stay in more rural areas. We investigate both theoretically and empirically the effect of this trend on a party's ability to gerrymander in a two-party model ("urban party" and "rural party"). Along the way, we propose a definition of the gerrymandering power of a party, and an algorithmic approach for near-optimal gerrymandering in large instances.

Our results suggest that beyond a fairly small concentration of urban party's voters, the gerrymandering power of a party depends almost entirely on the level of concentration, and not on the party's share of the population. As partisan separation grows, the gerrymandering power of both parties converge so that each party can gerrymander to get only slightly more than what its voting share warrants, bringing about, ultimately, a more representative outcome. Moreover, there seems to be an asymmetry between the gerrymandering power of the parties, with the rural party being more capable of gerrymandering.
IncepText: A New Inception-Text Module with Deformable PSROI Pooling for Multi-Oriented Scene Text Detection
Authors: Yang Qiangpeng , Cheng Mengli , Zhou Wenmeng , Chen Yan , Qiu Minghui , Lin Wei
Published: July 2018

Incidental scene text detection, especially for multi-oriented text regions, is one of the most challenging tasks in many computer vision applications.Different from the common object detection task, scene text often suffers from a large variance of aspect ratio, scale, and orientation. To solve this problem, we propose a novel end-to-end scene text detector IncepText from an instance-aware segmentation perspective. We design a novel Inception-Text module and introduce deformable PSROI pooling to deal with multi-oriented text detection. Extensive experiments on ICDAR2015, RCTW-17, and MSRA-TD500 datasets demonstrate our method's superiority in terms of both effectiveness and efficiency. Our proposed method achieves 1st place result on ICDAR2015 challenge and the state-of-the-art performance on other datasets. Moreover, we have released our implementation as an OCR product which is available for public access.
Adversarial Attribute-Image Person Re-identification
Authors: Yin Zhou , Zheng Wei-Shi , Wu Ancong , Yu Hong-Xing , Wan Hai , Guo Xiaowei , Huang Feiyue , Lai Jianhuang
Published: July 2018

While attributes have been widely used for person re-identification (Re-ID) which aims at matching the same person images across disjoint camera views, they are used either as extra features or for performing multi-task learning to assist the image-image

matching task. However, how to find a set of person images according to a given attribute description, which is very practical in many surveillance applications, remains a rarely investigated cross-modality matching problem in person Re-ID. In this work, we present this challenge and leverage adversarial learning to formulate the attribute-image cross-modality person Re-ID model. By imposing a semantic consistency constraint across modalities as a regularization, the adversarial learning enables to generate image-analogous concepts of query attributes for matching the corresponding images at both global level and semantic ID level. We conducted extensive experiments on three attribute datasets and demonstrated that the regularized adversarial modelling is so far the most effective method for the attribute-image cross-modality person Re-ID problem.
A Multi-task Learning Approach for Image Captioning
Authors: Zhao Wei , Wang Benyou , Ye Jianbo , Yang Min , Zhao Zhou , Luo Ruotian , Qiao Yu
Published: July 2018

In this paper, we propose a Multi-task Learning Approach for Image Captioning (MLAIC ), motivated by the fact that humans have no difficulty performing such task because they possess capabilities of multiple domains. Specifically, MLAIC consists of three key components: (i) A multi-object classification model that learns rich category-aware image representations using a CNN image encoder; (ii) A syntax generation model that learns better syntax-aware LSTM based decoder; (iii) An image captioning model that generates image descriptions in text, sharing its CNN encoder and LSTM decoder with the object classification task and the syntax generation task, respectively. In particular, the image captioning model can benefit from the additional object categorization and syntax knowledge. To verify the effectiveness of our approach, we conduct extensive experiments on MS-COCO dataset. The experimental results demonstrate that our model achieves impressive results compared to other strong competitors.