bluuebunny/crossref_metadata_2025_split huggingface dataset:
Representaciones sociales de estudiantes universitarios sobre el papel de la universidad en la creación de cultura de paz
Authors: Urbina Cárdenas Jesús Ernesto , Ovalles Rodríguez Gustavo Adolfo , Pérez Fernández Blanca Johanna 
Published: October 2018

El artículo muestra los resultados de la investigación sobre el tipo de representaciones sociales que poseen los estudiantes de la UFPS, acerca del papel de la universidad en la creación de una cultura de paz. Las categorías centrales sobre las cuales se fundamenta son las siguientes: la teoría de las representaciones sociales (RS)5 como marco teóricoepistemológico para la interpretación de los fenómenos socio-educativos y el concepto de Cultura de Paz. El texto expone la parte descriptiva del estudio, a partir de una encuesta aplicada a quinientos (500) estudiantes de las distintas carreras de la universidad. Algunos de los resultados permiten percibir cierto escepticismo frente al proceso de paz y una falta de conocimiento sobre los avances y logros de los diálogos de La Habana. El 59.9% afirma no conocer lo que se está pactando en la isla, el 37.4% cree que nunca se va a firmar la paz, el conflicto armado se asocia con la inequidad social en un 54% de las respuestas, la palabra con la que asocian la paz, en mayor porcentaje, es “la justicia” en un 34.8%, el 45.3% considera que la universidad debe abrir debates permanentes como principal estrategia para construir cultura de paz, y el 57.7% afirma que no hay un buen ambiente en la universidad para construir dicha cultura.
Manejo de la atribución hostil en el aula a partir del currículo educativo especializado
Authors: Arrubla Sánchez Ricardo 
Published: October 2018

El objetivo de esta investigación es la construcción de un modelo educativo para prevenir el comportamiento disocial y delictivo en adolescentes a partir de la teoría de guiones cognitivos de Bandura, y sustentado desde el uso de la razón jurídica y práctica en adolescentes por medio de la incorporación de la cultura de la legalidad en los colegios. Es un estudio descriptivo – explicativo, realizado con dos grupos focales integrado por estudiantes de grado 11 a quienes se les realizó entrevista semiestructurada, y la aplicación de la Escala de Conducta Antisocial y Delictiva, Cuestionario de Agresión Proactiva-Reactiva -RPQ- "Reactive-Proactive Aggression Questionnaire". En la población en estudio se identificaron conductas relacionadas con la impulsividad, agresividad, búsqueda de sensaciones, y narrativas violentas, generando en los estudiantes el síndrome de atribución hostil, y un déficit en el procesamiento de la información. Como conclusión principal, la modificación estructural de la cognición negativa en los estudiantes se debe llevar a cabo a partir de la creación de un neurocurrículo que facilite la mediatización del significado, tanto en el nivel cognitivo como en el nivel afectivo.
EFFECT OF POLYCAPROLACTONE ON CHARACTERISTICS AND MORPHOLOGY OF ALGINATE/CHITOSAN/LOVASTATINE COMPOSITE FILMS
Authors: Chinh Nguyễn Thúy , Thai Hoang , Thach Loc Thi , Le Giang Duc , Ngo Thuy Phuong 
Published: October 2018

In this work, alginate (AG)/chitosan (CS)/lovastatine (LS) AG/CS/PCL/LS composite films using polycaprolactone (PCL) are prepared by solution method with the ratio of AG/CS and LS content fixed at 4/1 and 10 wt.% (in comparison with the total weight of CS and AG), respectively. The PCL content is used at 3, 5 and 10 wt.% (in compared with total weight of AG, CS and LS). The role of PCL as a compatibilizer in AG)/CS)/LS composites is considered by Fourier Transform Infrared Spectroscopy (FT-IR), Scanning Electron Microscopy (SEM) and Differential Scanning Calorimetric (DSC) methods. Based on the change in FTIR spectra, morphology and thermal parameters of AG/CS/PCL/LS composites, it can be seen that PCL has effectiveness of compatibility for AG, CS, and LS as well as plasticity for the composites. Besides, the influence of PCL content on the swelling degree of the composites is also investigated.
THE PROTECTIVE EFFECT OF SOME FRACTIONS AND ISOLATED COMPOUNDS FROM EUPHORBIA HIRTA L. ON PANCREATIC β-CELLS MIN6
Authors: Le Bach Thi , Le Dung Tien , Nguyen Tuan Trong , Nguyen Thanh Quoc Chau , Joëlle Quetin Leclercq , Bui Buu Hue Thi 
Published: October 2018

Euphorbia hirta L., a kind of herbs belonging to family Euphorbiaceae, has been found a lot in the Mekong Delta. From the ethyl acetat and methanol fractions of this plant, four pure compounds were isolated and identified their chemical structure by spectroscopic techniques including quercitrin (1), luteolin (2), quercetin (3) and caffeic acid (4). The effect of crude ethanolic extract and some fractioned extracts as well as four isolated compounds from E hirta L., collected in the Mekong Delta, on endoplasmic reticulum stress-induced cell death in mouse β-cell lines was investigated. The results showed that methanol fraction and a isolated compound, quercitrin gave strong cell-protective effect with the cell viability of 69% and 78% at the dose of 100 µg/mL and 10 µg/mL, respectively. This proves that E hirta L. might have anti-diabetic effects and worth conducting further pharmacological investigations related to type 2 diabetes mellitus.
HCTN 60-EXTRACTION OF CHONDROITIN SULFATE FROM CHICKEN KEEL CARTILAGE BY COMBINING OF ULTRASOUND TREATMENT AND ALCALASE HYDROLYSIS
Authors: Dao Dong Thi Anh 
Published: October 2018

ABSTRACT - HCTN 60 Chondroitin sulfate (CS) is a glycosaminoglycan composed of N-acetyl-D-galactosamine and D-glucuronic acid sulfated at positions 4 or 6 [1, 2], that used in functional food for supporting treatment of arthritis diseases. Chicken keel cartilage from byproduct of the industry of poultry slaughter that contains a major content of CS, can be used in CS production. Our study was undertaken to extract CS from chicken keel cartilage by combining ultrasound treatment and Alcalase hydrolysis. The variables of ultrasound treatment such as dilution ratio, pH, temperature, and time were investigated and optimal conditions were obtained by response surface methodology (RMS) method. Optimal values of ultrasound treatment were derived at pH of 7.5, ratio of material and buffer of 1:10 (wmaterial/v­buffer), the ultrasonic temperature of 50oC and time of 21 minutes. Then conditions of Alcalase hydrolysis processing include enzyme per substances E/S of 4% (v/wpro), with the temperature of 55oC and time of 3 hours were determined. The result of HPLC analysis showed that powder product contained 80.45% CS compound with the average molecular weight ( w) of 159.53kDa by GPC. The yield of researched CS reached to 24.29% of absolute dry material; 62.1% in compared with total carbohydrate of dry material.
RESEARCH ON THE COMPONENT OF LIPID CLASSES, FATTY ACID, AMINO ACIDS FROM EGG AND BODY OF SEA URCHIN TRIPNEUSTES GRATILLA (LINNAEUS, 1758)
Authors: Dinh Kim Hoa Thi 
Published: October 2018

ABSTRACT – HCTN 06The Sea urchin Tripneustes gratilla (Linnaeus, 1758) is a famous species of invertebrate member of the phylum Echinodermata of marine animals living in shallow tropical water. In Viet Nam, it is usually called by the name of yellow sea urchin. This species is mentioned much about its economic and commerce properties. Recently, many researchers have been paying attention to sea urchin because of its positive effect on human health. In terms of medicine and nutrition, the egg of yellow sea urchin was rich in Polyunsaturated Fatty Acids (PUFAs) and essential amino acids. In this research, we focused on determining the total lipid contents, the components of lipid classes and the compositions and contents of fatty acids, amino acids from the body and the egg of the yellow sea urchin T. gratilla (Linnaeus, 1758) collected in Hon Tam, Nha Trang, Khanh Hoa, Viet Nam in 2016. Although the yellow sea urchin T. gratilla has low percentage of total lipid in fresh weigh basis, they are full of essential lipid ingredients such as Wax and Hydrocabon (H + W), Triacylglycerol (TG), Monodiacylglycerol MDAG, Free Fatty Acid (FFA), sterol (ST), and Polar Lipid (PL). In both egg and body samples palmitic acid (16:0) was the most abundant fatty acid with the proportion of about 25%. In addition, arachidonic acid (20:4n-6) is dominent Omega-6 fatty acid in the Monounsaturated Fatty Acid group (MUFA). Furthermore, the research result also showed the very high percentages of omega-3 fatty acids in the egg and body of T. gratilla, with the total contents of 13.97% and 20.67% respectively, especially the presence of eicosapentaenoic fatty acid (C20:5n-3, EPA), a very valuable fatty acid. By the HPLC method, the research also found 17 amino acids in the egg and body of T. gratilla with the existence of 7 essential amino acids.Keywords: Tripneustes gratilla, lipid classes, yellow sea urchin, echinodermata, fatty acid content.
EXTRACTION OF ADENOSINE AND CORDYCEPIN FROM SPENT SOLID MEDIUM OF MEDICINE FUNGI CORDYCESP MILITARIS
Authors: Thành NGUYEN Tiến 
Published: October 2018

The fungiCordyceps spp. which have been known as Dong Trung Ha Thao and their secondary metabolites cordycepin and adenosine, in recent years, attracted a great effort from many research not only in exploitation of new species but also the artificial cultivation and extraction of bioactive compounds for application in functional food. Cordyceps militarisis nowadays successful domesticated and cultivated in artificial solid medium including rice, silk -worm, coconut milk and minerals. Apart from main products of fruiting body of fungi, the spent solid medium also is considered as valuable due to the high content of bioactive compound remained. This part is normally used for making liquor after a long incubation with food-grade ethanol. In this study, with the aim to obtain the concentrate of bioactive compounds with less time used, several methods of extraction and concentration were performed with the residual solid medium using ethanol with and without the support of heat and ultrasonic. It was shown that, by using 50% of ethanol, adenosine and cordycepin could effectively thermal – extracted at 65oC for 6h. By vacuum evaporation, the concentration of two those compounds was increased 10 times with high recovery yield, facilitating for further usage.
Computed tomography scan findings in eclampsia: a prospective study
Authors: Rajeswari K. S. Raja , Niranjana R. 
Published: October 2018

Background: Eclampsia is a leading cause of maternal death, with classical neurological symptoms that include headache, nausea, vomiting, cortical blindness, coma and convulsions. Computed tomography (CT) scan helps in diagnosing and management of eclampsia in pregnant women. The present study was done with the objective to analyse the findings of CT scan of brain in eclampsia, to identify the prevalence of neurovascular complications in these cases and to determine if these findings can be of value in determining the prognosis of this disorder.Methods: This was a prospective study done on 100 patients with eclampsia. All of the 100 patients were screened with CT scan brain at Institute of Obstetrics and Gynaecology, Egmore, Chennai during the period from August 2008 to August 2009. All the data were analyzed and compared between the groups of positive CT scan and negative CT scan observations.Results: Out of 100 patients, positive CT scan findings were noticed in 15 patients. Of them, 7 patients expired, and 8 patients survived after treatment. Of the expired patients (7), 5 of them expired due to brain haemorrhage, and 1 patient died with cerebral oedema and 1 with brain infarction. Cerebral odema (46%) was the most common positive CT finding. Parietal region of brain was the most common (40%) affected area.Conclusions: CT scan of brain provides valuable information in determining the prognosis and the prevalence of neurovascular complications in Eclampsia.
Survey of Text Plagiarism Detection
Authors: Hamza Osman Ahmed , Salim Naomie , Abuobieda Albaraa 
Published: October 2018

In this paper we are going to review and list the advantages and limitations of the significant effective techniques employed or developed in text plagiarism detection.Â It was found that many of the proposed methods for plagiarism detection have a weakness and lacking for detecting some types of plagiarized text. This paper discussed several important issues in plagiarism detection such as; plagiarism detection Tasks, plagiarism detection process and some of the current plagiarism detection techniques.
Circularly Polarized Slotted Microstrip Patch Antenna with Finite Ground Plane
Authors: Rawat Sanyog , Sharma K K 
Published: October 2018

In this paper a new geometry of circularly polarized patch antenna is proposed with improved bandwidth. The radiation performance of proposed patch antenna is investigated using IE3D simulation software and its performance is compared with that of conventional rectangular patch antenna. The simulated return loss, axial ratio and impedance with frequency for the proposed antenna are reported in this paper. It is shown that by selecting suitable ground-plane dimensions, air gap and location of the slots, the impedance bandwidth can be enhanced upto 10.15% as compared to conventional rectangular patch (4.24%) with an axial ratio bandwidth of 4.05%.DOI:Â 10.18495/comengapp.12.097106
Combined Classifier for Face Recognition using Legendre Moments
Authors: Dasari Sridhar , Krishna I.V. Murali 
Published: October 2018

In this paper, a new combined Face Recognition method based on Legendre moments with Linear Discriminant Analysis and Probabilistic Neural Network is proposed. The Legendre moments are orthogonal and scale invariants hence they are suitable for representing the features of the face images. The proposed face recognition method consists of three steps, i) Feature extraction using Legendre moments ii) Dimensionality reduction using Linear Discrminant Analysis (LDA) and iii) classification using Probabilistic Neural Network (PNN). Linear Discriminant Analysis searches the directions for maximum discrimination of classes in addition to dimensionality reduction. Combination of Legendre moments and Linear Discriminant Analysis is used for improving the capability of Linear Discriminant Analysis when few samples of images are available. Probabilistic Neural network gives fast and accurate classification of face images. Evaluation was performed on two face data bases. First database of 400 face images from Olivetty Research Laboratories (ORL) face database, and the second database of thirteen students are taken. The proposed method gives fast and better recognition rate when compared to other classifiers.DOI:Â 10.18495/comengapp.12.107118
Monitoring and Resource Management in P2P Grid-Based Web Services
Authors: Laouni Djafri , Rachida Mekki 
Published: October 2018

Grid computing has recently emerged as a response to the growing demand for resources (processing power, storage, etc.) exhibited by scientific applications. However, as grid sizes increase, the need for self-organization and dynamic reconfigurations is becoming more and more important. Since such properties are exhibited by P2P systems, the convergence of grid computing and P2P computing seems natural. However, using P2P systems (usually running on the Internet) on a grid infrastructure (generally available as a federation of SAN-based clusters interconnected by high-bandwidth WANs) may raise the issue of the adequacy of the P2P communication mechanisms. Among the interesting properties of P2P systems is theÂ volatility ofÂ peersÂ whichÂ causesÂ theÂ needÂ forÂ integrationÂ ofÂ aÂ service fault tolerance. And service Load balancing,Â Â As a solution, we proposed a mechanism of fault tolerance and model of Load balancingÂ adapted to a grid P2P model, named SGRTE (Monitoring and Resource Management, Fault Tolerances and Load Balancing).DOI:Â 10.18495/comengapp.12.071084
Codes correcting and simultaneously detecting solid burst errors
Authors: Das P.K. 
Published: October 2018

Detecting and correcting errors is one of the main tasks in coding theory. The bounds are important in terms of error-detecting and -correcting capabilities of the codes. Solid Burst error is common in several communication channels. This paper obtains lower and upper bounds on the number of parity-check digits required for linear codes capable of correcting any solid burst error of length b or less and simultaneously detecting any solid burst error of length s(>b) or less. Illustration of such a code is also provided.Keywords: Parity check matrix, Syndromes, Solid burst errors, Standard arrayDOI:Â 10.18495/comengapp.21.143150Â Â
On Constructing Static Evaluation Function using Temporal Difference Learning
Authors: Ping Man Samuel Choi 
Published: October 2018

Programming computers to play board games against human players has long been used as a measure for the development of artificial intelligence. The standard approach for computer game playing is to search for the best move from a given game state by using minimax search with static evaluation function. The static evaluation function is critical to the game playing performance but its design often relies on human expert players. This paper discusses how temporal differences (TD) learning can be used to construct a static evaluation function through self-playing and evaluates the effects for various parameter settings. The game of Kalah, a non-chance game of moderate complexity, is chosen as a testbed. The empirical result shows that TD learning is particularly promising for constructing a good evaluation function for the end games and can substantially improve the overall game playing performance in learning the entire game.DOI:Â 10.18495/comengapp.21.175184
Codes Correcting and Simultaneously Detecting Solid Burst Errors
Authors: Das P. K. 
Published: October 2018

Digital images are foremost source for information transfer. Due to advancement of the technology, images are now not treated as reliable source of information. Digital images can be edited according to the need. Adding and deleting content from an image is most easiest and popular way of creating image forgery, which is known as copy-move forgery. Digital Image Forensics is the field that deals with the authenticity of the images. Digital image forensics checks the integrity of the images by detecting various forgeries. In order to hide the traces of copy-move forgery there are editing operations like rotation, scaling, JPEG compression, Gaussian noise called as attacks, which are performed on the copied part of the image before pasting. Till now these attacks are not detected by the single method. The novel approach is proposed to detect image forgery by copy-move under above attacks by combining block-based and keypoint-based method.
Keywords: Digital image forensics, copy-move forgery, passive blind approach, keypoint-based, block-based methods
Automatic Iranian Vehicle License Plate Recognition System Based on Support Vector Machine (SVM) Algorithms
Authors: Aghaie Mahdi , Shokri Fatemeh , Zade Tabari Meisam Yadolah 
Published: October 2018

In the emerging trends the pervasive nature across the computing environment shows that the system is platform independent and device independent. The system development is designed with the help of Structured Query Language and middleware infrastructure that are used to collect the information from various nodes. An essential feature of this proposed middleware architecture suites the device independent as the major supporting capability to the system. This facilitates to add new device types in the system feels easy through the use of device self-description.Â It mainly focuses on the issues related to the heterogeneity of the different devices composing a pervasive system: This aspect is investigated both at data management and at physical integration levels. Using the nontrivial approach aims at handling the related issues are resolved with the corresponding solution.
Keyword: Perla, Cloud Monitoring, Middleware, Declarative Language
Network Survivability Performance Evaluation in Underwater Surveillance System Using Markov Model
Authors: Nabavi Seyyed Yahya , Mohammadi Reza , Keshtgari Manijeh 
Published: October 2018

Underwater Wireless Sensor Network (UWSN) is a useful technology that can be used in Underwater Surveillance System (USS). USSs are mostly used in military purposes for detecting underwater military activities. One of the most important issues in USS is mission reliability or survivability. Due to harsh underwater environment and mission critical nature of military applications, it is important to measure survivability of USS. Underwater sensor node failures can be detrimental for USS. To improve survivability in USS, we propose a fault-tolerant underwater sensor node model. To the best of our knowledge, this is the first fault-tolerant underwater sensor node model in USS that evaluates survivability of an USS. Â We develop Markov models for characterizing USS survivability and MTTF (Mean Time to Failure) to facilitate USS. Performance evaluation results show the effectiveness of proposed model.
Network Selection Problems - QoE vs QoS Who is the Winner?
Authors: Mohanan Vasuky Mohanan , Aldmour Ismat 
Published: October 2018

In network selection problem (NSP), there are now two schools of thought. There are those who think using QoE (Quality of Experience) is the best yardstick to measure the suitability of a Candidate Network (CN) to handover to. On the other hand, Quality of Service (QoS) is also advocated as the solution for network selection problems. In this article, a comprehensive framework that supports effective and efficient network selection is presented. The frameworkÂ Â attempts to provide a holistic solution to network selection problem that is achieved by combining both of the QoS and QoE measures.Â Â Using this hybrid solution the best qualities in both methods are combined to overcome issues of the network selection problem According to ITU-R (International Telecommunications Union â€“ Radio Standardization Sector), a 4G network is defined as having peak data rates of 100Mb/s for mobile nodes with speed up to 250 km/hr and 1Gb/s for mobile nodes moving at pedestrian speed. Based on this definition, it is safe to say that mobile nodes that can go from pedestrian speed to speed of up to 250 km/hr will be the norm in future. This indicates that the MNâ€™s mobility will be highly dynamic. In particular, this article addresses the issue of network selection for high speed Mobile Nodes (MN) in 4G networks. The framework presented in this article also discusses how the QoS value collected from CNs can be fine-tuned to better reflect an MNâ€™s current mobility scenario.
Balancing and Lucas-Balancing Numbers and their Application to Cryptography
Authors: Swain Sujata , Pratihary Chidananda , Kumar Ray Prasanta 
Published: October 2018

It is well known that, a recursive relation for the sequence Â is an equation that relates Â to certain of its preceding terms . Initial conditions for the sequence Â are explicitly given values for a finite number of the terms of the sequence. The recurrence relation is useful in certain counting problems like Fibonacci numbers, Lucas numbers, balancing numbers, Lucas-balancing numbers etc. In this study, we use the recurrence relations for both balancing and Lucas-balancing numbers and examine their application to cryptography.