bluuebunny/crossref_metadata_2025 huggingface dataset:
Apropiación territorial y recursos hídricos en la cuenca de los ríos Grijalva y Usumacinta, México
Authors: Medina Sanson Leopoldo , Hernández Francisco Guevara
Published: November 2018

Se discute, bajo la estructura de un ensayo científico, sobre la potestad y aprovechamiento del agua en la cuenca de los ríos Grijalva y Usumacinta, en el sureste de México. Se distinguen conflictos asociados con las políticas públicas que promueve el estado mexicano, inclinadas a privatizar y concesionar bienes y servicios públicos. Las tendencias son preocupantes para los usuarios públicos del agua en términos de equidad, disponibilidad, costo, calidad e impactos socio ambientales derivados de modelos extractivos y de transformación que privilegian la rentabilidad económica sobre el desarrollo social. Alternativamente, debe consolidarse la participación ciudadana dentro de las figuras legales de los consejos y comités de cuenca, de manera que su peso legal y representación social apuntale territorialidades más democráticas.
Derecho humano al agua potable en la localidad de Tlachichilco del Carmen en el municipio de Poncitlán, Jalisco, México: análisis preliminar de un problema en un territorio periurbano
Authors: Jalomo-Aguirre Francisco , Torres-Rodríguez Alicia , Ceballos-González Leonor , Avila-De Alba Juan Pablo , Álvarez-Cortazar Lorena Tanit
Published: November 2018

A pesar  de ser el agua  un recurso vital  para la existencia  de cada especie del planeta Tierra; pese a haber sido reconocido, en declaraciones internacionales de diversos tipos, como un derecho de todos los individuos, tal recurso no se encuentra distribuido y disponible en igualdad, cantidad y calidad, por tanto existe hoy en día una creciente problemática por asegurar tal garantía, objetivo a demostrar en el presente documento, que muestra los resultados de un estudio realizado en la localidad de Tlachichilco del Carmen, en el municipio de Poncitlán, Jalisco, México.Así, mediante una revisión exhaustiva de fuentes documentales y aplicación de entrevistas y encuestas, se evidencia en este texto el problema de acceso al agua y las estrategias, como  la captación de agua de lluvia que están sucediendo en una localidad conlindante al cuerpo de agua dulce más grande de México, el lago  de Chapala, ubicado en el occidente de México.
Ultrasonic time-reversal-based imaging for rapid non-destructive evaluation
Authors: Fan Chengguang , Yang Lei , Chen Yong , Zhao Yong
Published: November 2018

In this paper, a fast ultrasonic imaging process based on the time-reversal technique was introduced into the non-destructive evaluation (NDE) field. It processed the ultrasonic array data when a specific number of array elements were chosen as the transmitters and receivers rather
than all of them. As a typical time-reversal-based imaging technique, time reversal with multiple signal classification can be implemented on the central frequency and multi-frequency of the array. It was considered to image the defects in solid materials with different noise levels. The performance
was estimated in terms of computational time and reconstruction quality. A factor was defined to quantitatively estimate the quality of the ultrasonic image. In addition, the effect of a large element pitch on the ultrasonic image was also considered. An experimental system was built to capture
the ultrasonic array data using the full matrix capture (FMC) process. Experimental results performed on test samples showed that the method proposed in this paper can obtain the ultrasonic image. Its quality was close to the standard ultrasonic image achieved and the imaging time decreased.
Non-linear property analysis of deformed metallic components using a longitudinal critically refracted wave
Authors: Mao Hanling , Zhang Yuhua , Qin Xiaoqian , Mao Hanying , Li Xinxin , Huang Zhenfeng
Published: November 2018

In order to apply the ultrasonic non-linear coefficient for non-destructive detection in actual engineering applications, the non-linear property of deformed metallic components is studied using a longitudinal critically refracted (LCR) wave. Firstly, dog-bone components are loaded
in two different modes, which ensures that components with different stress states and the corresponding macroscopic deformation of components are measured. Then, online and offline non-linear ultrasonic experiments are conducted on pre-stress components and the relative non-linear coefficient
is calculated. Experimental results indicate that the relative non-linear coefficient and the deformation state monotonically increase with stress levels and they have similar variation trends in both online and offline measurements. Furthermore, Pearson correlation coefficients between the
relative non-linear coefficient and the macroscopic deformation are 0.988 and 0.9876 for two types of experiment, which indicates that they have a strong correlation relationship. The power-exponent function is applied to establish this dependence relationship. The index coefficients are 1.276
and 0.7305, respectively, and the difference may be due to the microstructure disparity caused by the different loading modes. Therefore, the interrelationship between the relative non-linear coefficient and the macroscopic deformation of metallic components can be applied to predict the variation
of the relative non-linear coefficient from the macroscopic point, which is very convenient for damage detection in actual engineering applications.
ACCA 015: Análisis y comunicación contemporánea de la arquitectura. José Joaquín Parra Bañón (Dir.)
Authors: Blázquez Jesús Pablo
Published: November 2018

Reseña de libro
HIGH-GRADE GASTROENTEROPANCREATIC NEUROENDOCRINE NEOPLASMS. MODERN CLASSIFICATION, DIAGNOSTICS AND TREATMENT
Authors: Kolomeytseva A. A. , Gorbunova V. A. , Orel N. F. , Emelianova G. S. , Ivanov A. M. , Odintsova A. S. , Fedenko A. A.
Published: November 2018

Poorly differentiated gastroenteropancreatic neuroendocrine neoplasms (GEP NENs) are rare malignancies, most of which are characterized by aggressiveness, a tendency to rapid metastasis and an unfavorable prognosis even when localized. In 2017 World Health Organization (WHO) updated classification of GEP NENs and recognized the category of well-differentiated pancreatic NET G3, associated with Ki‑67 index usually over 20%. The upper level of Ki‑67 is not defined. Usually it is 55%. Highgrade poorly differentiated pancreatic NENs are defined as pancreatic neuroendocrine carcinomas (panNECs). Although the NET G3 category is recognized for pancreatic neuroendocrine neoplasms only, many specialists consider it reasonable to apply this term to all well-differentiated GEP NETs with Ki‑67 index in the 20 to 55 percent range. Clinical behavior and therapeutic approaches for advanced GEP NECs and NETs G3 are different. Standard palliative chemotherapy for GEP NECs consists of cisplatin or carboplatin combined with etoposide. The second-line regimens include irinotecan-, oxaliplatin, fluoropyrimidine- and temozolomide-based regimens. Temozolomide-based chemotherapy regimens, as well as targeted therapy are more preferable as first line therapy for patients with NETs G3. The platinum-based chemotherapy regimens are considered at the time of disease progression. Further clinical studies with the inclusion of much more patients will determine the optimal treatment strategy for this category of patients.
RETROSPECTIVE ANALYSIS OF LONG-TERM SURVIVAL OUTCOMES OF PRIMARY CYTOREDUCTION AND NEOADJUVANT CHEMOTHERAPY IN PATIENTS WITH OVARIAN CANCER STAGE IIIC–IV
Authors: Tjulandina A. S. , Rumyantsev A. A. , Morkhov K. Y. , Nechushkina V. M. , Tjulandin S. A.
Published: November 2018

The choice of treatment strategy in patients with stage IIIC‑IV ovarian cancer (OC) remains the subject of numerous discussions. The reason for this is the unsatisfactory results of randomized trials and the low frequency of primary complete debulking surgery in these studies. We conducted a retrospective analysis to evaluate the survival outcomes in patients with OC stage IIIC–IV (n=314) who underwent treatment between 1995 and 2017. The median progression free survival for primary surgery was 15.6 months, after interval debulking – 11.5 months (p=0.002, HR 0.61: 95 % CI 0.39–0.81). The primary cytoreduction significantly increased the median of overall survival by 19.6 months: from 38.0 months after interval debulking up to 57.6 months after primary cytoreduction (p=0.04, HR 0.64: 95 % CI 0.41–0.99). An increase in the number of optimal interval debulking does not lead to an improvement in the long-term results of treatment in the group of patients after neoadjuvant chemotherapy. Our analysis over the past 20 years has shown that improvement in treatment outcomes is only observed in the primary cytoreduction group due to an increase in the number of complete optimal cytoreductive surgery.
A study of predictive factors of malignancy in thyroid nodules
Authors: Umapathy P. , Swaminathan G. Ashok , Farshana M. Fathima , Devagi M.
Published: November 2018

Background: Thyroid nodule is a common presentation and requires structured diagnostic approach to ascertain the risk of malignancy and determine appropriate management. The aims of this randomized study is to evaluate potentiate role of thyroglobulin (Tg), thyroid stimulating hormone (TSH), and size of nodule as preoperative indicators of primary well differentiated thyroid cancer (WDTC).Methods: This is a retrospective Study of 70 cases of colorectal carcinoma analysing incidence, clinicopathological features and outcome after different therapies including surgery, radiotherapy and chemotherapy.Results: Preoperative Tg with cut-off >36 ng/ml is a significant predictor of malignancy. Anti-Tg Ab with cut-off of 3 IU/ml along with TSH are independent predictors of malignancy.Conclusions: FNAC and Frozen section study has specificity of 67 and 75% and sensitivity of 74 and 80%, respectively. Accuracy of FNAC and frozen section study are 71 and 73%, respectively and preoperative thyroglobulin (Tg) with cut-off >36 ng/ml is a significant predictor of malignancy.
Abdominal cocoon: a surgical challenge
Authors: Vagholkar Ketan , Doctor-Ganju Khizer
Published: November 2018

Encapsulating peritoneal sclerosis (EPS) or sclerosing peritonitis best described as abdominal cocoon is a complex syndrome characterized by formation of a thick fibrocollagenous membrane that totally encloses the small intestinal loops. The etiology is varied and multifactorial. This complex disease is usually associated with continuous peritoneal dialysis (PD), tuberculosis, post renal transplant, or with long term use of beta blockers. A few cases may even be idiopathic in origin. The pathogenesis is attributed to conversion of epithelial cells from the peritoneal lining to mesenchymal cells leading to a formation of a thick membrane. The clinical features range from abdominal pain due to altered gut motility to frank features suggestive of intestinal obstruction. Making a pre-operative diagnosis is the biggest challenge in abdominal cocoon. However computerized tomography provides enough information to arrive at a diagnosis. Surgical intervention continues to remain the final option in an unremitting intestinal obstruction despite the role of conservative therapy using drugs proposed for treatment. The focus of management is early diagnosis and treatment in order to halt the progression to a frank cocoon. The paper reviews the etiopathogenesis and management of this intricate condition.
OAGB/MGB for childhood and adolescent patients: a report of 20 cases done at a single centre in India
Authors: Bhandari Mahak , Bhandari Mohit , Mathur Winni , Kosta Susmit
Published: November 2018

Background: Morbid obesity has risen in an alarming rate in children and adolescent patients. Bariatric surgery is playing an increasing role in pediatric surgery. However, current evidence is limited regarding its safety and outcome.The aim of this study is to evaluate the efficacy of Mini/One Anastomosis Gastric Bypass (MGB/OAGB) in treating obesity and its co-morbidities among childhood and adolescent patients.Methods: A retrospective study was conducted of patients aged <18 who underwent OAGB/MGB in this series at Mohak Bariatric and Robotic Surgery Center (MBRSC) is a tertiary-care center. The major outcome measures were percent excess body weight loss (%EBWL) over a 2-year follow-up period, resolution of co-morbidities, and occurrence of complications.Results: A total of 20 childhood and adolescent patients underwent the procedure, of which, 11 (55.0%) of being males. The patients had a median age of 15 years (range 6–18). The average age was 15.5±3.17 year (range 6-18 years). The initial average weight and BMI was 112.13±26.52Kgs and 40.86±8.17 kg/m2 respectively. Postoperative average weight loss was 28kgs, 33kgs and 37.2kgs in 6 months, 1st year and 2nd years respectively. The %EBWL at 1st and 2nd years was 75% and 80% respectively. Overall post-operative complication rate was 5.0% (two cases) of which one had gastroesophageal reflux and the other had protein caloric malnutrition. There was no mortality in this series at any time.Conclusions: The OAGB/MGB operation is a safe and effective option for childhood and adolescent patients with severe obesity. There is need for both long-term follow up, prospective, multicentre and larger series studies to confirm the findings in this study.
Conservative treatment of spinal tuberculosis and its outcome: an observational study
Authors: Radhe Shyam E. S. , Atif Mirza Baig
Published: November 2018

Background: Spinal tuberculosis or Pott’s spine occurs in about 1-2% of patients with tuberculosis and accounts for 40-50% of musculoskeletal tuberculosis.It is caused due to the infection of the bone by Mycobacterium tuberculosis bacteria with the combination of spread through haematogenous route as well as lymphatic drainage.

Methods: This observational study was done for a period of 2 years from Jan 2016 to Jan 2018. The total number of study participants was 51. The functional outcome was assessed using modified McCormick’s scale.

Results: Majority of study participants were females accounting for 60.7% compared to males (39.21%). The main complaint of study participants was back pain (39.21%) which was followed by fever in 21.5%. Loss of appetite was the most prominent symptom seen in 15.6%. Thoracolumbar vertebrae were the site of involvement in 37.2%.

Conclusions: Patients responded well with anti-tubercular treatment in mild and moderate cases of spinal TB, if there was no gross neurological deficit. Thus it is very important to identify the early symptoms of spinal TB so that timely prompt treatment should be initiated.
Biochemical Composition and Heavy Metal Content in the Mussels of Kadiyapattinam, Kanyakumari distrct, South West Coast of India
Authors: Jeyasanta K Immaculate , Wilson Sheeba , Sathish Narmatha , Patterson Jamila
Published: November 2018

Samples of the green mussel, Perna viridis, the brown mussel Perna perna and the parrot mussel were collected from Kadiyapattinam of Kanyakumari coast and their biochemical composition and the levels of heavy metal contamination were analyzed. The results of this study showed that the biochemical composition of the mussels did not very much. The specimens of all the three species of mussels were found to be good aquatic invertebrates for human consumption. P. viridis contained higher proportion of protein than Perna perna and the parrot mussel. Perna perna and the parrot mussel contained more lipid, ash, carbohydrate, and fibre; and their caloric values were also more than that of Perna viridis. Perna perna had the highest moisture content (78.21%) followed by the parrotmussel (19.47%) and Perna viridis (20.30%). Concentrations of the heavy metals (Cd, Cu, Pb, Cr, As, Ni and Se) in the edible portions of the samples were within the values recommended by the WHO. Mercury was not detected and so these mussels are safe for the consumers. The order of concentrations of minerals found in the mussel samples was: K > Na > P > Ca > Mg > Fe > Zn > Mn. Potassium content was more than the other elements. It was evident from the study that in the soft tissue of all Perna species the concentration of essential minerals was higher than the nonessential metals. Kadiyapattinam mussels are a rich source not only of protein but also of all the other micro and macro minerals. The soft tissues of all the mussels had low levels of heavy metal concentration, and this indicates a comparatively lower heavy metal contamination of Kadiyapattinam coast. Mussels are also a rich source of nutritional components and could be used as human diet in place of other fish so as to reduce the pressure on sea foods.
Los caminos emprendidos por el discurso de la interculturalidad
Authors: Brighenti Clovis Antonio , O. González Cárdenas Linda
Published: November 2018

A la hora de contribuir al debate sobre la necesidad de crear e implementar políticas educativas diferenciadas destinadas a las poblaciones históricamente excluidas en América Latina resulta indispensable analizar cuales discursos las permean. En el caso de la educación indígena algunos de estos discursos se sustentan en la interculturalidad como principio fundamentador, evidenciado por ejemplo en la modificación de marcos legislativos colonialistas donde son incluidos actos normativos que afirman y reconocen derechos y pedagogías educativas propias de los pueblos indígenas, o de forma práctica en la creación de universidades y programas universitarios que se proponen romper la imposición de un conocimiento científico y monocultural. Sin embargo, varias de estas iniciativas que en la esfera educativa promulgan la interculturalidad como principal premisa han confrontado innúmeros obstáculos y limitaciones, tanto a nivel burocrático y normativo, ya que en la esfera estatal y gubernamental no son reconocidos formalmente conocimientos “no universales”, así como a nivel epistémico, al continuar prevaleciendo la ciencia occidental moderna como única forma de comprender el mundo. De esta forma, en el presente trabajo pretendemos cuestionar las mencionadas limitaciones de la interculturalidad como termino norteador y sus respectivos efectos en la educación indígena, partiendo de nuestra aproximación a algunos programas educativos interculturales en algunos países de Latinoamérica que fueron destinados a poblaciones indígenas en estos países.
Comunicación visual y violencia epistémica en México
Authors: Vázquez-Valdés Verónica
Published: November 2018

El texto presenta un análisi reflexivo sobre la cultura visual de los pueblos indígenas de la Sierra Madre Occidental en México. En el desarrollo del trabajo, se resumen los resultados del análisis de la cultura visual de los indígenas totonaco, a partir de fotografías tomadas por ellos mismos. Se describe la ruptura epistémica entre la concepción del uso de la fotografía occidental y la relevancia que la misma tecnología tiene para los indígenas. Lo anterior hace evidente el desconocimiento que los gobiernos tienen al hacer las campañas visuales de comunicación social y el impacto del que estas carecen.
A cultura boliviana na escola e o “fazer especial” como ampliação e descolonização da experiência estética
Authors: Oliveira Carvalho Francione
Published: November 2018

Em um mundo aberto à circulação do capital, mas não das pessoas, as que migram em busca de melhores condições econômicas e sociais precisam vencer tanto os percalços inerentes ao processo migratório como a hostilidade de muitas comunidades que as recebem e, muitas vezes, as rejeitam. Situações de discriminação e intolerância que diminuem e não reconhecem a humanidade do Outro. A educação infantil e a primária não estão imunes a esta questão, portanto, este trabalho discute as ações realizadas em duas escolas municipais da cidade de São Paulo na promoção da diversidade e do reconhecimento das tradições culturais sul-americanas com destaque para as de origem boliviana. A partir da pergunta: “O que você aprendeu com os seus pais?”, as crianças das escolas apresentadas levaram objetos, imagens, álbuns de fotografias, comidas, roupas, danças e compartilharam tradições, memórias e fazeres que possibilitaram experiências estéticas que ampliaram os territórios da arte e da cultura.
FATORES RELACIONADOS À OCORRÊNCIA DE EVENTOS ADVERSOS EM PACIENTES IDOSOS INTERNADOS
Authors: Teixeira Cristiane Chagas , Bezerra Ana Lúcia Queiroz , Paranaguá Thatianny Tanferri de Brito , Pagotto Valéria
Published: November 2018

Objetivo: analisar os fatores relacionados à ocorrência de eventos adversos registrados nos prontuários de idosos internados. Método: estudo transversal, conduzido com 260 internações ocorridas na clínica cirúrgica de um hospital de ensino de Goiânia, Goiás, Brasil. Foram realizadas análise descritiva, associação univariada e multivariada. Resultados: verificou-se associação entre presença de acompanhante, tempo de internação igual ou maior que nove dias, uso de seis ou mais medicamentos por dia, uso de hemoderivados e uso de cateter e sonda. O tempo de internação superior a nove dias foi constatado como variável independente de risco para a ocorrência de eventos adversos. Conclusão: a identificação dos fatores relacionados à ocorrência de eventos adversos indica a necessidade de melhorar a qualidade no atendimento, com vistas ao desenvolvimento de competências necessárias para prestar uma assistência livre de danos a idosos internados.
Descritores: Enfermagem geriátrica. Qualidade da assistência à saúde. Segurança do paciente.
Interactive Games Using Hand-Eye Coordination Method for Autistic Children Therapy
Authors: Shapi’i Azrulhizam , Abd Rahman Noor Atifah , Baharuddin Mohd Syazwan , Yaakub Mohd Ridzwan
Published: November 2018

Recent studies have found that imbalanced motor skills (hand-eye coordination) among autism spectrum disorder (ASD) or autistic children cause lower efficiency in daily routines. Autistic children need long-term rehabilitation programs to improve their abilities. However, problems with a lack of motivation to participate in conventional therapy and the high cost of therapy sessions arise over time. Autism children need to do repetitive activities every time therapy sessions been done. Repetitive activities cause children having less interest to participate ongoing therapy sessions. Other than that, the therapy process usually requires a long time to be implemented that cause the relatively high cost had to be paid by the patient's family. The use of technology is seen more effective and less boring for child with autism. However, the use of games technology require gamer to hold game controller. Proposals for motion-based touchless games using NUI technology, such as the Kinect Xbox 360, to be used in rehabilitation are exciting for patients, but the design elements do not meet the requirements of autistic people. Hence, this research proposes a Kinect game based on design elements for autistic rehabilitation. The objective of this research is to identify symptom of eye-hand coordination problem and develop serious game using Kinect technology as the solution for the problem faced by autism children. This technology provides a low-budget solution costs of therapy and games base on 3D sensor without the use of control equipment which must be hold or touch by hand. Moreover, Kinect does not need a controller or additional body-worn attachment during play time. A game prototype was developed and measured, and an evaluation resulted in positive feedback from the user and therapists, thus meeting the objective of this study.
Towards Serendipity for Content–Based Recommender Systems
Authors: Saat Nur Izyan Yasmin , Mohd Noah Shahrul Azman , Mohd Masnizah
Published: November 2018

Recommender systems are intelligent applications build to predict the rating or preference that a user would give to an item. One of the fundamental recommendation methods in the content-based method that predict ratings by exploiting attributes about the users and items such as users’ profile and textual content of items. A current issue faces by recommender systems based on this method is that the systems seem to recommend too similar items to what users have known. Thus, creating over-specialisation issues, in which a self-referential loop is created that leaves user in their own circle of finding and never get expose to new items. In order for these systems to be of significance used, it is important that not only relevant items been recommender, but the items must be also interesting and serendipitous. Having a serendipitous recommendation let users explore new items that they least expect. This has resulted in the issues of serendipity in recommender systems. However, it is difficult to define serendipity because in recommender system, there is no consensus definition for this term. Most of researchers define serendipity based on their research purposes. From the reviews, majority shows that unexpected as the important aspect in defining serendipity. Thus, in this paper, we aim to formally define the concept of serendipity in recommender systems based on the literature work done. We also reviewed few approaches that apply serendipity in the content-based methods in recommendation. Techniques that used Linked Open Data (LOD) approaches seems to be a good candidate to find relevant, unexpected and novel item in a large dataset.
An Efficient and Robust Mobile Augmented Reality Application
Authors: Tan Siok Yee , Arshad Haslina , Abdullah Azizi
Published: November 2018

AR technology is perceived to be evolved from the bases of Virtual Reality (VR) technology. The ultimate goal of AR is to provide better management and ubiquitous access to information by using seamless techniques in which the interactive real world is combined with an interactive computer-generated world in one coherent environment. The direction of research in the field of AR has been shifted from traditional Desktop based mediums to the mobile devices such as the smartphones. However, image recognition on smartphones enforces many restrictions and challenges in the form of efficiency and robustness which are the general performance measurement of image recognition. Smart phones have limited processing capabilities as compared to the PC platform, hence the process of mobile AR application development and use of image recognition algorithm need to be emphasised. The processes of mobile AR application development include detection, description and matching. All the processes and algorithms need to be carefully selected in order to create an efficient and robust mobile AR application. The algorithm used in this work for detection, description and matching are AGAST, FREAK and Hamming distance respectively. The computation time, robustness towards rotation, scale and brightness are evaluated. The dataset used to evaluate the mobile AR application is the benchmark dataset; Mikolajczyk. The results showed that the mobile AR application is efficient with a computation time of 29.1ms. The robustness towards scale, rotation and brightness changes of the mobile AR application also obtained high accuracy which is 89.76%, 87.71% and 83.87% respectively. Hence, combination of algorithm AGAST, FREAK and Hamming distance are suitable to create an efficient and robust mobile AR application.
Machine Learning Approach for Bottom 40 Percent Households (B40) Poverty Classification
Authors: Sani Nor Samsiah , Abdul Rahman Mariah , Abu Bakar Azuraliza , Sahran Shahnurbanon , Mohd Sarim Hafiz
Published: November 2018

Malaysia citizens are categorised into three different income groups which are the Top 20 Percent (T20), Middle 40 Percent (M40), and Bottom 40 Percent (B40). One of the focus areas in the Eleventh Malaysia Plan (11MP) is to elevate the B40 household group towards the middle-income society. Based on recent studies by the World Bank, Malaysia is expected to enter the high-income economy status no later than the year 2024. Thus, it is essential to clarify the B40 population through a predictive classification as a prerequisite towards developing a comprehensive action plan by the government. This paper is aimed at identifying the best machine learning models using Naive Bayes, Decision Tree and k-Nearest Neighbors algorithm for classifying the B40 population. Several data pre-processing task such as data cleaning, feature engineering, normalisation, feature selection: Correlation Attribute, Information Gain Attribute and Symmetrical Uncertainty Attribute and sampling methods using SMOTE has been conducted to the raw dataset to ensure the quality of the training data. Each classifier is then optimized using different tuning parameter with 10-Fold Cross Validation for achieving the optimal values before the performance of the three classifiers are compared to each other. For the experiments, a dataset from National Poverty Data Bank called eKasih obtained from the Society Wellbeing Department, Implementation Coordination Unit of Prime Minister's Department (ICU JPM), consisting of 99,546 households from 3 different states: Johor, Terengganu and Pahang are used to train each of the machine learning model. The experimental results using 10-Fold Cross-Validation method demonstrates that the overall performance of Decision Tree model outperformed the other models and the significance test specified the result is statistically significance.
Building Compact Entity Embeddings Using Wikidata
Authors: Lubani Mohamed , Mohd Noah Shahrul Azman
Published: November 2018

Representing natural language sentences has always been a challenge in statistical language modelling. Atomic discrete representations of words make it difficult to represent semantically related sentences. Other sentence components such as phrases and named-entities should be recognized and given representations as units instead of individual words. Different entity senses should be assigned different representations regardless the fact that they share identical words. In this paper, we focus on building the vector representations (embeddings) of named-entities from their contexts to facilitate the task of ontology population where named-entities need to be recognized and disambiguated in natural language text. Given a list of target named-entities, Wikidata is used to compensate for the lack of a labelled corpus to build the contexts of all target named-entities as well as all their senses. Description text and semantic relations with other named-entities are considered when building the contexts from Wikidata. To avoid noisy and uninformative features in the embeddings generated from artificially built contexts, we propose a method to build compact entity representations to sharpen entity embeddings by removing irrelevant features and emphasizing the most descriptive ones. An extended version of the Continuous Bag-of-Words model (CBOW) is used to build the joint vector representations of words and named-entities using Wikidata contexts. Each entity context is then represented by a subset of elements that maximizes the chances of keeping the most descriptive features about the target entity. The final entity representations are built by compressing the embeddings of the chosen subset using a deep stacked autoencoders model. Cosine similarity and t-SNE visualisation technique are used to evaluate the final entity vectors. Results show that semantically related entities are clustered near each other in the vector space. Entities that appear in similar contexts are assigned similar compact vector representations based on their contexts.
Classification Techniques for Predicting Graduate Employability
Authors: Othman Zalinda , Shan Soo Wui , Yusoff Ishak , Kee Chang Peng
Published: November 2018

Unemployment is a current issue that happens globally and brings adverse impacts on worldwide. Thus, graduate employability is one of the significant elements to be highlighted in unemployment issue. There are several factors affecting graduate employability, traditionally, excellent academic performance (i.e., cumulative grade point average, CGPA) has been the most dominant element in determining an individual’s employment status. However, researches have shown that not only CGPA determines the graduate employability; in fact other factors may influence the graduate achievement in getting a job. In this work data mining techniques are used to determine what are the factors that affecting the graduates. Therefore, the objective of this study is to identify factors that influence graduates employability. Seven years of data (from 2011 to 2017) are collected through the Malaysia’s Ministry of Education tracer study. Total number of 43863 data instances involved in this employability class model development. Three classification algorithms, Decision Tree, Support Vector Machines and Artificial Neural Networks are used and being compared for the best models. The results show decision tree J48 produces higher accuracy compared to other techniques with classification accuracy of 66.0651% and it increased to 66.1824% after the parameter tuning. Besides, the algorithm is easily interpreted, and time to build the model is small which is 0.22 seconds. This paper identified seven factors affecting graduate employability, namely age, faculty, field of study, co-curriculum, marital status, industrial internship and English skill. Among these factors, attribute age, industrial internship and faculty contain the most information and affect the final class, i.e. employability status. Therefore, the results of this study will help higher education institutions in Malaysia to prepare their graduates with necessary skills before entering the job market.
Multiple Descriptors for Visual Odometry Trajectory Estimation
Authors: Salameh Mohammed , Abdullah Azizi , Sahran Shahnorbanun
Published: November 2018

Visual Simultaneous Localization and Mapping (VSLAM) systems are widely used in mobile robots for autonomous navigation.  One important part in VSLAM is trajectory estimation. Trajectory estimation is a part of the localisation task in VSLAM where a robot needs to estimate the camera pose in order to precisely align the real visited image locations.  The poses are estimated using Visual Odometry Trajectory Estimation (VOTE) by extracting distinctive and trackable keypoints from sequence image locations having been visited by a robot. In the visual trajectory estimation, one of the most popular solutions is arguably PnP-RANSCA function. PnP-RANSAC is a common approach used for estimating the VOTE which uses a feature descriptor such as SURF to extract key-points and match them in pairs based on their descriptors. However, due to the sensor noise and the high fluctuating scenes constitute an inevitable shortcoming that reduces the single visual descriptor performance in extracting the distinctive and trackable keypoints. Thus, this paper proposes a method that uses a random sampling scheme to combine the result of multiple key-points descriptors. The scheme extracts the best keypoints from SIFT, SURF and ORB key-point detectors based on their key-point response value. These keypoints are combined and refined based on Euclidean distances. This combination of keypoints with their corresponding visual descriptors are used in VOTE which reduces the trajectory estimation errors. The proposed algorithm is evaluated on the widely used benchmark dataset KITTI where the three longest sequences are selected, 00 with 4541 images, 02 with 2761 images and 05 with 1101 images. In trajectory estimation experiment, the proposed algorithm can reduce the trajectory error of 44%, 8% and 13% on KITTI dataset for the sequence 00, 02 and 05 respectively based on translational and rotational errors. Also, the proposed algorithm succeeded in reducing the number of keypoints used in VOTE as combined with the state-of-the-art RTAB-Map.
Gold Nanoparticles: Synthesis and application for Halal Authentication in Meat and Meat Products
Authors: Subara Deni , Jaswir Irwandi
Published: November 2018

The Muslim community has recently become more aware of the food they eat, especially Muslim minorities in secular areas. This awereness is increased along with increasing adulteration and substitution of expensive meat for cheaper material. Hence, meat authentication has become a major concern for both consumers and researchers alike. Many analytical methods for detecting Halal meat have been developed to address issues with meat authentication, such as HPLC, FTIR, GCMS and PCR. Nanotechnology has recently shown great potential in biosensing applications for Halal meat products. Rapid testing, cheaper materials and portability of gold nanoparticle-based sensors are expected to change conventional sensing of Halal meat. Selected molecules and types of meat was one of the target for developing gold nanoparticles in the detection. Detection of meat products using gold nanoparticles is based on the colour changed of its optical properties.  This article reviewed the application of gold nanoparticles for Halal authentication of meat and meat products. Furthermore, the recent development in preparation of gold nanoparticles  and current challenges are also discussed. Gold nanoparticles shows great potential to detect specific meats in meat products. Several traditional and modern meat processed products have been tested on the application of gold nanoparticles, such as meat ball and burgers. However, detection of meat adulteration on real food samples should be done before the comercialization. Limit of detection of gold nanoparticles in analysis shows an increment. Gold nanoparticles offer new alternative to expensive method. In adition, specific detector for different animal meats of interest need to be designed.
Consumption of Purple Soy Tofu in Improving Hyperglycemia Condition and Nutritional Intake to Type-2 Diabetes Mellitus Respondents
Authors: Amrizal Sri N. , R. Z Fransisca , Suliantari - , Chasanah Ekowati
Published: November 2018

Diabetes Mellitus (DM) is a chronic metabolic disorder disease, caused by the insufficiency and ineffectiveness of insulin utilizing and then result in insulin resistance. This study purposed to identify the effect of purple tofu intervention, which made from black soybean in improving hyperglycemic conditions and nutritional intake of type 2 diabetes mellitus (T2DM). An intervention of purple soy tofu was performed for 28 days with 20 subjects, divided into two groups (control and treated group), and selected purposively. Eighty-five grams of tofu was served with additional vegetable broth in the intervention group, while people in the control group did not accept any treatment. There was a significant improvement in hyperglycemia and nutritional intake of diabetics (p <0.05) at the end of the intervention. Analysis of fasting blood glucose levels of respondents to purple tofu decreased from 224.7±92.45 to 170.2±68.15; plasma insulin levels increased from 0.29±0.08 to 0.39±0.11. Our findings suggested that purple tofu interventions improved the condition of hyperglycemia in T2DM respondents through the elevating of plasma insulin levels.
Credibility Dimensions for Islamic Information in Social Media
Authors: Ab Kadir Kairulanuar , Sahari @ Ashaari Noraidah , Salim Juhana
Published: November 2018

A new way of spreading knowledge and collaborating with each other to achieve specific objectives has been introduced with the rise of social media, which is an effective communication tool. A growing number of people are using social media for the search of information relating to religious learning and practices. The younger generation is one of the major users of social media; therefore, many Islamic scholars are reaching out to Muslim youths using this channel. However, as people assimilate themselves to the use of social media in gaining knowledge, questions begin to emerge on the credibility of the Islamic information discovered. Anyone regardless of their background can post or share information or articles on social media, so such information is not always credible or true. Self-proclaimed Islamic scholars could use social media for their own personal gains such as to support and propagate sentiments, misinform, spread rumors, or start up conspiracies. This could confuse social media users, especially the younger generation, whose main information source is social media. Despite the significant importance of this area, limited research has empirically examined the factors that affect the credibility of social media information particularly relating to the Islamic context. In addressing this gap, this study inspects the factors obtained from the literature and classifies the dimensions of social media information credibility. Based on the established credibility theories of the Elaboration Likelihood Model (ELM), Prominence-Interpretation theory, and Social Cognitive theory, a research model is developed to determine Islamic information credibility on social media platforms. It is imperative that the study classifies the credibility dimensions, in order to further validate the factors that influence social media users in confirming the credibility of Islamic information. This study also aims to clear doubts and dispel misinformation regarding the Islamic religion by providing a basis for the society to ascertain Islamic information credibility and authenticity.
Classification of Alzheimer’s Disease in PET Scans using MFCC and SVM
Authors: Panyavaraporn Jantana , Horkaew Paramate
Published: November 2018

Unlike age related dementia, Alzheimer’s disease is more progressive and causes rapid deterioration in patient’s cognitive functions. Prior to its first clinical manifestation, it is evident that the brain damaging process has already been commenced much earlier in life. This asymptomatic period could have spanned as long as a decade or more. Although there is not yet ultimate cure for the disease, the sooner it is diagnosed, the more chance that available therapeutic measures could improve patient’s quality of life. Standard medical questionnaire and medical imaging are the most prevailing means of identifying early Alzheimer’s disease. Despite a great effort having been made in analyzing structural atrophy in human brain by using CT and MRI, the recent attempts have reached high accuracy and precision but relatively poor sensitivity. Functional imaging such as PET is of much lower spatial resolution but promising modality taken to elevate this limitation. This paper presents a classification method for early detection of the disease from PET scans drawn from Thai population. However, instead of conventional structural analysis, this study performed clustering on unwrapped signals, transformed from imaging data by using Mel-Frequency Cepstral Coefficients (MFCC), by a generic Support Vector Machine (SVM) classifier. The experimental results reported herein indicates that, with optimal MFCC order, the proposed method could identify subjects with Alzheimer’s from controls, with high accuracy, precision and specificity. With a cross-validation ratio of 8:2 and a linear SVM kernel, the classification accuracy, sensitivity and specificity were 96.51, 93.98, and 97.77, respectively, and increased as the MFCC orders.
Covered Conductor Burn-Down Phenomena in Indonesia without Protection Relay Operation
Authors: Pramana Putu Agus Aditya , Kusuma Aristo Adi , Priambodo Nur Widi , Munir Buyung Sofiarto
Published: November 2018

All Aluminium Alloy Conductor-Shielded (AAAC-S) which is covered conductor is widely used as the temporary solution to mitigate the earth fault problem during application of bare conductor in Indonesia distribution system. However, the burn-down phenomenon of AAAC-S is often found in some cases and the protection schemes that have been installed on the distribution line is unable to detect any fault during the phenomenon. Due to no tripping order from protection relay, this phenomenon will lead some part of the conductor remain hanging in the air and still in energized condition. This condition may cause a potential hazard to the surrounding environment. Therefore, this study was performed to determine the cause of AAAC-S burn-down and the reason of protection equipment cannot work properly. Field investigation, modelling and simulation, and laboratory testing has been performed in this study to represent the condition in the field. The results show that the burn-down phenomenon of AAAC-S occurred due to many sequences of events. It started with insulation material breakdown that create pinhole, then during overvoltage phenomenon there will be earth fault condition through the pinhole. Finally, if the short circuit energy at a certain mechanical tensile exceeds the critical energy of AAAC-S, then the burn-down phenomenon occurred. In this condition, the protection relay is unable to detect the fault due to the working time of protection relay is greater than the critical burn-down time of AAAC-S, where it is being influenced by the location of earth fault, cross-sectional area of AAAC-S, and grounding resistance of the pole.
Восприятие и интерпретация прозы В. М. Шукшина в иноязычной аудитории (на примере рассказа Боря)
Authors: Хабибуллина Елена
Published: November 2018

В рамках изучения русского языка как иностранного в учебных планах и программах высших учебных заведений нередко как отдельная дисциплина предусмотрен такой курс, как «Чтение». Проблемы, которые встают перед преподавателем, включающим в свои уроки про­изведения художественной литературы, сформулированы в известной работе Н.В. Кулибиной: «Зачем, что и как читать на уроке». Разумеется, выбор текста и виды работы с ним диктуются уровнем владения языком конкретной аудитории. В группах учащихся, владеющих языком на продвинутом уровне, обычно к прочтению предлагаются неадаптированные тексты. К сожа­лению, в их числе крайне редко оказываются произведения В. Шукшина - в первую очередь, из-за сложности языкового материала: обилие лексем и грамматических конструкций раз­говорного стиля, наличие просторечных элементов затрудняют восприятие смысла текста. Тем не менее, на наш взгляд, среди текстов В. Шукшина есть вполне доступные учащимся, при этом ярко демонстрирующие глубокий философский мир писателя, они смогут обогатить знания студентов и магистрантов о русской литературе и культуре еще одним именем.
Kilka słów, a ile treści...
Authors: Jóźwiak Jolanta
Published: November 2018

Celem artykułu jest zaprezentowanie na podstawie kilku przykładów, jak wiele sensu może przekazać odbiorcom autor tekstu poprzez użycie określonych słów w odpowiednim kontekście. Analizie zostały poddane cztery jednostki językowe: mózg, oczy, ręce i krew, wykorzystane przez B. Akunina do nazwania departamentów w organizacji Amfibia w opowiadaniu Planeta woda. Przedstawiono również ciągi skojarzeniowe, które mogą powstawać, kiedy pojmujemy rzeczy w terminach innych rzeczy. Nieustanne porównywanie i dostrzeganie relacji podobieństwa jest niezwykle istotne w procesie rozumienia oraz interpretowania rzeczywistości.
Киноуроки как многоаспектная форма изучения русского языка и культуры в летней школе для польских студентов
Authors: Стефанский Евгений
Published: November 2018

В статье обобщен опыт проведения киноуроков для польских студентов, изучающих русский язык. На киноуроках по фильму «Ландыш серебристый» студенты продвинутого уровня осваивали лексические парадигмы, русский жаргон, эмоциональные разговорные конструкции, обсуждали развитие характеров главных героев. На киноуроках по экранизациям поэмы Н. В. Гоголя «Мертвые души» происходил многоаспектный исторический комментарий, а также обсуждалась проблема воплощения поэмы Гоголя в кино. На уроках для студентов базового уровня анализировались сюжеты из детского юмористического журнала «Ералаш» и рассматривалась проблема природы комического. Киноуроки показали себя как многоаспектная форма языковых занятий, позволяющая затронуть как собственно языковые вопросы, так и проблемы других гуманитарных наук.