bluuebunny/crossref_metadata_2025_split huggingface dataset:
UMA COMPETÊNCIA INTERDISCURSIVA NO CAMPO POLÍTICO-EDUCACIONAL: O POSICIONAMENTO ECONÔMICO
Authors: Ferreira Anderson , Baptista Carlos Alberto , Nascimento Jarbas Vargas 
Published: May 2019

Este artigo examina a hipótese da competência discursiva no campo político-educacional, enfatizando o posicionamento discursivo econômico que opera a partir da periferia deste campo. Selecionou-se como corpus de análise o texto Professor ganha mal?, publicado pelo economista Claudio Moura e Castro, em 2016, na Revista Veja. Também, para construir a Configuração de análise, separou-se seis enunciados recolhidos na internet que se supõe reivindicarem a legitimidade do centro do campo político-educacional, isto é, que partem do pressuposto que o discurso econômico, embora necessário, não é legítimo para propor mudanças significativas na Educação, em particular, aos temas relativos a salários de professores de educação básica. Baseamo-nos, para o presente estudo, no aparato teórico-metodológico da Análise do Discurso em sua perspectiva enunciativo-discursiva, em especial, a hipótese de competência discursiva, postulada por Maingueneau (2008), destacando, também, o caráter interdisciplinar desta disciplina, o qual as Referências fazem notar.
La publicación académica y los sistemas de evaluación: ¿qué son y para qué sirven?
Authors: Córdoba González Saray 
Published: May 2019

El artículo contiene una serie de reflexiones acerca de los sistemas de evaluación de la ciencia y sobre el papel que cumplen las revistas en ese contexto. Dichos sistemas han sido cuestionados en los últimos años, dado que promueven la inequidad para los investigadores, pero sobre todo para las revistas de la región latinoamericana en tanto que las excluye en lugar de mejorarlas para que la ciencia de la región sea más visible. Esta reflexión se ha elaborado a partir de la propia experiencia y con parte del conocimiento que se ha generado sobre el tema en los años recientes, e intenta desembocar en posibles soluciones a la problemática.
ica.
Reflexión sobre la publicación académica y el acceso abierto a partir de la experiencia de RedALyC
Authors: Aguado-López Eduardo , Becerril-García Arianna , Chávez-Ávila Salvador 
Published: May 2019

El presente trabajo conjuga una serie de reflexiones acerca de los retos y avances de la publicación científica en acceso abierto a través de los últimos dieciséis años, en Latinoamérica. Con el punto de vista de su experiencia en el desarrollo conceptual y tecnológico del Sistema de Información Científica Redalyc (www.redalyc.org), los autores comparten propuestas para construir una plataforma para la publicación académica latinoamericana de las Ciencias Sociales y las Humanidades principalmente, de acceso abierto no comercial, colaborativo, sustentable y protegido. Además, hacen hincapié en cuatro temas centrales: el modelo de publicación de Latinoamérica, los sistemas de evaluación, la era digital y la comunicación académica, y el acceso abierto y la sustentabilidad.
Role of Visualization in a Knowledge Transfer Process
Authors: Opiła Janusz 
Published: May 2019

Abstract

Background: Efficient management of the knowledge requires implementation of new tools and refinement of the old ones - one of them is visualization. As visualization turns out to be an efficient tool for transfer of acquired knowledge, understanding of the influence of visualization techniques on the process of knowledge sharing is a necessity. Objectives: The main objective of the paper is to deepen the understanding of the relation of visualization to other knowledge sharing paths. The supplementary goal is a discussion of constraints on visualization styles in relation to readability and efficiency. Methods/Approach: Due to the ambiguous nature of the problem, case analysis was selected as a research method. Two research papers have been selected for that. The first one focused on agrotourism, introduces a general use theoretical tool suitable for various purposes, such as consumer sentiment analysis. The second one evaluates possibilities of revealing an implicit organizational structure of an organization by means of visual analysis using interaction graphs. Results: Visualization is an important part of data analysis and knowledge transfer process. Hybrid visualization styles enhance information density but may decrease clarity. Conclusions: In order to maximise the role of visualization in a knowledg tranfer process, the special care must be devoted to clarity, the optimal level of details and information density in order to avoid obfuscation.
Assessment of phenotypic plasticity of spruce species Picea abies (L.) Karst. and P. obovata (Ledeb.) on provenances tests in European North of Russia
Authors: Nakvasina Elena , Demina Nadezhda , Prozherina Nadezhda , Demidova Natalia 
Published: May 2019

Abstract
Phenotypic plasticity of 22 spruce provenances in three test plots located in the European North of Russia was studied. Parent spruce stands are located within the Russian Plain and are represented by Picea abies (L.) Karst., P. obovata (Ledeb.) and two introgressive hybrids. In the test plots located in the middle and southern taiga subzones P. abies provenances are tested northward of its distribution area and P. obovata provenances are tested within the distribution area and nearby its boundaries. phenotypic plasticity of the spruce provenances was assessed. Straight-line regression coefficient based on survival, diameter, and height was calculated. All provenances are divided into two groups: plastic and non-plastic provenances. High plasticity is observed more often for P. abies and hybrids forms with properties of P. abies. Plastic provenances based on three parameters grow in the Leningrad, Pskov, Vologda, Kostroma and Karelia. Area of parent stands growing is quite small-size and lies between 56º30´ – 61º40´ N and 30º30´ – 42º30´ E. Adaptive provenances of P. obovata and its related hybrids forms grow in the North-Eastern part of the Russian Plain that could be consequence of its distribution in Holocene. Picea abies being the more adaptive species would be more responsive to climate changes in terms of survival and growth rate than P. obovata. Therefore, in case of sustainable climate warming in the Northern areas of the Russian Plain, the further propagation and major distribution of P. abies with further competitive replacement of P. obovata can be expected.
Score Level and Rank Level Fusion for Kinect-Based Multi-Modal Biometric System
Authors: Rahman Md Wasiur , Zohra Fatema Tuz , Gavrilova Marina L. 
Published: May 2019

Abstract
Computational intelligence firmly made its way into the areas of consumer applications, banking, education, social networks, and security. Among all the applications, biometric systems play a significant role in ensuring an uncompromised and secure access to resources and facilities. This article presents a first multimodal biometric system that combines KINECT gait modality with KINECT face modality utilizing the rank level and the score level fusion. For the KINECT gait modality, a new approach is proposed based on the skeletal information processing. The gait cycle is calculated using three consecutive local minima computed for the distance between left and right ankles. The feature distance vectors are calculated for each person’s gait cycle, which allows extracting the biometric features such as the mean and the variance of the feature distance vector. For Kinect face recognition, a novel method based on HOG features has been developed. Then, K-nearest neighbors feature matching algorithm is applied as feature classification for both gait and face biometrics. Two fusion algorithms are implemented. The combination of Borda count and logistic regression approaches are used in the rank level fusion. The weighted sum method is used for score level fusion. The recognition accuracy obtained for multi-modal biometric recognition system tested on KINECT Gait and KINECT Eurocom Face datasets is 93.33% for Borda count rank level fusion, 96.67% for logistic regression rank-level fusion and 96.6% for score level fusion.
Applying a Neural Network Ensemble to Intrusion Detection
Authors: Ludwig Simone A. 
Published: May 2019

Abstract
An intrusion detection system (IDS) is an important feature to employ in order to protect a system against network attacks. An IDS monitors the activity within a network of connected computers as to analyze the activity of intrusive patterns. In the event of an ‘attack’, the system has to respond appropriately. Different machine learning techniques have been applied in the past. These techniques fall either into the clustering or the classification category. In this paper, the classification method is used whereby a neural network ensemble method is employed to classify the different types of attacks. The neural network ensemble method consists of an autoencoder, a deep belief neural network, a deep neural network, and an extreme learning machine. The data used for the investigation is the NSL-KDD data set. In particular, the detection rate and false alarm rate among other measures (confusion matrix, classification accuracy, and AUC) of the implemented neural network ensemble are evaluated.
Solution of Linear and Non-Linear Boundary Value Problems Using Population-Distributed Parallel Differential Evolution
Authors: Nasim Amnah , Burattini Laura , Fateh Muhammad Faisal , Zameer Aneela 
Published: May 2019

Abstract
Cases where the derivative of a boundary value problem does not exist or is constantly changing, traditional derivative can easily get stuck in the local optima or does not factually represent a constantly changing solution. Hence the need for evolutionary algorithms becomes evident. However, evolutionary algorithms are compute-intensive since they scan the entire solution space for an optimal solution. Larger populations and smaller step sizes allow for improved quality solution but results in an increase in the complexity of the optimization process. In this research a population-distributed implementation for differential evolution algorithm is presented for solving systems of 2
nd
-order, 2-point boundary value problems (BVPs). In this technique, the system is formulated as an optimization problem by the direct minimization of the overall individual residual error subject to the given constraint boundary conditions and is then solved using differential evolution in the sense that each of the derivatives is replaced by an appropriate difference quotient approximation. Four benchmark BVPs are solved using the proposed parallel framework for differential evolution to observe the speedup in the execution time. Meanwhile, the statistical analysis is provided to discover the effect of parametric changes such as an increase in population individuals and nodes representing features on the quality and behavior of the solutions found by differential evolution. The numerical results demonstrate that the algorithm is quite accurate and efficient for solving 2
nd
-order, 2-point BVPs.
Swarm Algorithms for NLP - The Case of Limited Training Data
Authors: Tambouratzis George , Vassiliou Marina 
Published: May 2019

Abstract
The present article describes a novel phrasing model which can be used for segmenting sentences of unconstrained text into syntactically-defined phrases. This model is based on the notion of attraction and repulsion forces between adjacent words. Each of these forces is weighed appropriately by system parameters, the values of which are optimised via particle swarm optimisation. This approach is designed to be language-independent and is tested here for different languages.
The phrasing model’s performance is assessed per se, by calculating the segmentation accuracy against a golden segmentation. Operational testing also involves integrating the model to a phrase-based Machine Translation (MT) system and measuring the translation quality when the phrasing model is used to segment input text into phrases. Experiments show that the performance of this approach is comparable to other leading segmentation methods and that it exceeds that of baseline systems.
The journey of C.T. Ramage through the Cilento in the first half of the nineteenth century, between geography and history of an ‘unknown’ land
Authors: Siniscalchi Silvia 
Published: May 2019

Abstract
Many travelers-writers have described the characteristics of the areas visited from a critical point of view, with wit and sense of observation. One of the most significant and unknown works concerning this literary current is the tale of the trip from Paestum to Policastro made in 1828 by C.T. Ramage: his sketchbooks are not only a description of the evidence of the past and of the archaeological remains of the Ancient Greece, but a small geo-history of the Cilento (shortly before its insurrection of that same year), as the first stage of a journey that returns a fresco of the South of Italy as it was before the process of Italian unification, respect to its agricultural landscapes, customs and dietary habits, attitudes, superstitions, society, culture, religious and political affairs, comparable with the present context of the same territories.
Ab initio study of GdCo5 magnetic and magneto-optical properties
Authors: Mahdi M. , Djabri A. , Koc M. M. , Boukhalfa R. , Erkovan M. , Chumakov Yu. , Chemam F. 
Published: May 2019

Abstract
The full potential linearized augmented plane wave method (FLAPW) including the spin-orbit coupling has been used to study the structural, electronic and magnetic properties of GdCo5 compound. The calculations were performed within the local spin density approximation (LSDA) as well as Coulomb corrected LSDA + U approach. The study revealed that the LSDA + U method gave a better representation of the band structure, density of states and magnetic moments than LSDA. It was found that the spin magnetic moment of Co (2c) and Co (3g) atoms in the studied compound is smaller compared to the one in bulk Co. The optical and magneto-optical properties and the magneto-optical Kerr effect have also been investigated.
Crowned dens syndrome presenting as pyrexia of unknown origin (PUO)
Authors: Bansal Agam , Gupta Mohit 
Published: May 2019

Abstract

Background. Deposition of calcium pyrophosphate crystals in the cervical spine around the odontoid process may lead to neck pain and fever. This condition is called crowned dens syndrome (CDS).

Case report. An 89-year-old female presented with complaints of fever for one-month duration and recent onset neck pain. During her admission, she developed right knee pain with evidence of chondrocalcinosis on X-ray. Considering her clinical presentation in setting of pseudogout, she had a CT scan of her neck that revealed erosion of the dens and hyperdense soft tissue surrounding the odontoid process. Based on her clinical and radiologic presentation, she was diagnosed with crowned dens syndrome and started on NSAIDs. Unfortunately, she did not respond to NSAIDs and was switched to Colchicine, which resulted in immediate improvement in her symptoms.

Conclusions. We present this case to stress the importance of keeping crowned dens syndrome as one of the differentials in an elderly patient presenting with fever and neck pain.
The Effect of Pyrogenic Successionon Breeding Birds of Shelter Belts in the North-Western Part of the Azov Sea Region
Authors: Ayubova E. M. , Koshelev V. A. 
Published: May 2019

Abstract
The effect of the pyrogenic factor on the avifauna of shelter belts in the north-western part of the Azov Sea region, Ukraine is considered basing on results of the research carried out in 2001–2018. The breeding bird community of shelter belts is composed of 50 species, of them different types of shelter belts support 14–46 species. Changes in the species composition of breeding birds are analysed in subsequent years aft er the fires. The recovery of bird communities is progressing at a slow pace following the regeneration of tree-shrub vegetation and development of consortial relations of birds with dominating tree-shrub species and rook (Corvus frugilegus) colonies. It is established that the vegetation pyrogenic succession is accompanied by deep qualitative and quantitative changes in the structure of breeding avian communities in shelter belts of different type.
Histological and Ultrastructural Studies on the Intestine of Guntea Loach, Lepidocephalichthys Guntea (Cypriniformes, Cobitidae)
Authors: Ghosh S. K. 
Published: May 2019

Abstract
The cellular organizations of intestine in Lepidocephalichthys guntea (Hamilton, 1822) have been described by light as well as scanning and transmission electron microscopy. The intestine is short and straight like, marked into anterior, middle and posterior region based on mucosal folds, number and size of columnar epithelial cells and mucous cells, thickness of submucosa and muscularis layer. The mucosa of anterior intestine forms high folds, which are lined with compactly arranged columnar epithelial cells and mucous cells. In the middle intestine, folds are pointless whereas the posterior intestine is without folds. The submucosa is formed of thin layer of connective tissue, contained collagen bundles and blood capillaries, comparatively well developed in the posterior intestine. By scanning electron microscopy, outlines of the luminal surface of anterior and middle intestine is embossed with oval or rounded columnar epithelial cells contained densely packed stubby microridges. The posterior intestine has closely set longitudinal folds characterized with minute blood capillaries and columnar epithelial cells having inconspicuous microridges. Ultrastructurally, the mucosal surface of the intestine consists of mucous cells with electron dense granules and columnar epithelial cells having numerous microvilli, mitochondria, endoplasmic reticulum, lysosomes and Golgi body. Cellular components of the anterior and middle intestine participate in the absorption whereas the presence of enormous blood vessels and capillary net work of posterior intestine probably responsible for air breathing.
Sistem Pendukung Keputusan Pemilihan Pemenang Pengadaan Jasa Konstruksi Pada Pemerintah Kota Denpasar dengan Metode Saw Berbasis Fuzzy
Authors: Sanjaya Wahyu , Sukajaya I N , Gunadi I GA 
Published: May 2019

Pengadaan Jasa Konstruksi merupakan sebuah kegiatan penting dalam menunjang Pembangunan di Kota Denpasar. Proses pengadaan merupakan suatu kegiatan yang rentan terhadap manipulasi, sehingga produk atau barang yang diinginkan tidak sesuai dengan spesifikasi yang telah dibuat. Sehingga perlu dirancang sebuah sistem untuk mengakomodasi kepentingan tersebut ke dalam sistem yang terkomputerisasi. Proses penilaian-penilaian yang terkomputerisasi menjadikan proses pemilihan penyedia menjadi transparan untuk meminimalisasi jumlah kecurangan dalam proses pemilihan. Permasalahan yang dihadapi saat ini adalah Kelompok Kerja (Pokja) ULP (Unit Layanan Pengadaan Barang/Jasa) melakukan proses penilaian masih dalam bentuk manual, sehingga sering terjadi penyanggahan atau ketidak puasan pihak penawar terhadap hasil akhir pemilihan pemenang pada suatu pekerjaan.
Penelitian ini memfokuskan pada proses perhitungan nilai untuk membantu Pokja ULP dalam menentukan pemenang dari suatu pekerjaan berdasarkan persyaratan yang telah ditentukan. Sistem yang dibuat ini memberikan hasil akhir berupa banyaknya perusahaan yang melakukan penawaran, menampilkan nilai yang didapatkan oleh perusahaan dari kelengkapan yang diperlukan, dan ranking yang didapatkan oleh perusahaan dalam mengikuti pelelangan. Hasil uji dari penelitian ini didapatkan tingkat akurasi 79%, dari total jumlah pekerjaan yang diujikan sebanyak 138 pekerjaan yang dilakukan proses tender selama tahun 2016 sampai dengan tahun 2017.
Text Mining pada Sosial Media untuk Mendeteksi Emosi Pengguna Menggunakan Metode Support Vector Machine dan K-Nearest Neighbour
Authors: Ardiada I Made Dwi , Sudarma Made , Giriantari Dwi 
Published: May 2019

Twitter layanan jejaring sosial dan mikroblog yang memungkinkan penggunanya untuk mengirim dan membaca pesan berbasis teks hingga 140 karakter, yang dikenal dengan sebutan kicauan (tweet). Sebuah teks pada tweet tidak hanya menyampaikan keterangan dari suatu informasi, tetapi juga berisi informasi tentang perilaku manusia termasuk emosi. Untuk mendeteksi emosi dari teks pada layanan sosial media twitter dengan data yang tidak terstruktur maka perlu dilakukan analisis teks salah satunya dengan menggunakan Text Mining. Pada penelitian ini mengusulkan melakukan penelitian text mining pada Sosial Media untuk mendeteksi emosi pengguna. Deteksi emosi berbasis teks dapat digunakan dalam bisnis, pendidikan, psikologi, dan bidang lain mana pun yang paling penting untuk memahami dan menafsirkan emosi. Tahapan penelitian ini melalui beberapa tahapan yaitu data. Dari Pengujian yang dilakukan dengan metode Support Vector Machine dan K-Nearest Neighbour dapat menghasilkan nilai rata-rata precision sebesar 0.45640904478933. nilai recall sebesar 0.50199332258158 dan pada nilai accuracy sebesar 0.8140589569161 sedangkan dari metode K-Nearest Neighbour nilai rata-rata precision sebesar 0.34210487225193. nilai recall sebesar 0.45954538381009 dan pada nilai accuracy sebesar 0.79705215419501. hasil dari pengujian dengan metode SVM-KNN menunjukkan bahwa kesesuaian klasifikasi emosi lebih baik daripada metode K-Nearest Neighbour dari keseluruhan kategori emosi.
Blue Labour or the Political History Blues
Authors: Black Lawrence 
Published: May 2019

This article discusses the state of labour history and political history in Britain. Despite a continuing and sizeable output, it argues the former is very close to deserving an obituary, not unconnected to something of a methodolological malaise in the latter. Political history is not unhealthy, but out of fashion. Paradoxically, debate about history within the Labour party has been rife. Not only in its recent "crisis," but in the Blue Labour Project from 2010 that sought to rethink Labour's past, policy and vision after Blair. It explores Blue Labour through thinkers like Stears, Glasman and the journal Renewal. The gaps between current historical practice and its uses in Labour politics are revealing for both.
Música “Roda Viva”: desvendando simbolismos
Authors: Gitahy Raquel Rosan Christino , Fernandez Artemisa Piai Silva de , Batista Claudia Karina Ladeia , Prado Alessandro Martins 
Published: May 2019

O objetivo do presente artigo é realizar uma análise da Música Roda Viva, considerando o momento histórico da ditadura militar brasileira em 1967 vivido pelo autor Francisco Buarque de Holanda, utilizando o viés semiótico da teoria conceitual de Charles Sanders Peirce. O foco central desta análise está nos simbolismos e metáforas utilizadas pelo autor a fim de driblar o contexto político e ditatorial da época, perfazendo um paralelo entre os significados semióticos na música supracitada. A partir da análise realizada perpetua-se no tempo a visão analítica de toda uma geração diante do regime autoritário da época ditatorial.