bluuebunny/crossref_metadata_2025_split huggingface dataset:
Putting Knowledge into Practice—The Challenge of Acquiring Healthy Habits during Pregnancy
Authors: Godoy-Miranda Ana Carolina , Cirelli Jessica Fernandes , Pinho-Pompeu Maira , Paulino Daiane Sofia Morais , Morais Sirlei Siani , Surita Fernanda Garanhani 
Published: June 2019

Objective The aim of this study was to investigate the knowledge concerning gestational weight gain (GWG), nutrition, and physical exercise (PE) in pregnant women, and how to put them into practice.
Methods A cross-sectional study with 61 pregnant women above 26 weeks of gestation, at the Woman's Hospital, CAISM, University of Campinas. Questionnaires regarding the knowledge of healthy habits (HH) during pregnancy, sociodemographic data, and previous obstetric outcomes were applied. An educational guide with advice on HH during pregnancy and in the postpartum period was offered.
Results The average age of women was 28.7 ± 6.23 years, with 85% of them being married; 32% nulliparous; the average body mass index (BMI) before pregnancy was 25.4 ± 9.8 kg/m2, and the mean number of years of schooling was 11.2 ± 3.8. Only 61% of the subjects had received any previous information about GWG during their antenatal care and were aware as to how many pounds they should gain during pregnancy. Among the 61 women, 85% understood that they did not need to “eat for 2” and 99% knew that PE had benefits for their body and was safe for their baby. Half of the women practiced PE prior to pregnancy; however, only 31% continued the practice of PE during the pregnancy.
Conclusion Despite understanding the need for HH during pregnancy, women still need encouragement to practice PE during pregnancy, as well as more information about GWG.
Autoimmune Heparin-Induced Thrombocytopenia after Transcatheter Aortic Valve Implantation: Successful Treatment with Adjunct High-Dose Intravenous Immunoglobulin
Authors: Bakchoul Tamam , Borst Oliver , Riessen Reimer , Lucic Josip , Gawaz Meinrad , Althaus Karina , Aidery Parwez 
Published: June 2019

AbstractWe describe a rare case of autoimmune heparin-induced thrombocytopenia after transcatheter aortic valve implantation in which antibodies against platelet factor 4/heparin have led to platelet activation even after heparin cessation, causing a delayed drop in platelet count to below 20 × 109/L. Most interestingly, platelet count rapidly improved after intravenous immunoglobulin treatment and no new thromboembolic complications were observed with further anticoagulation with rivaroxaban.
Paramilitarism and music in Colombia
Authors: Barbosa Caro Eduar , Suavita Johanna Ramírez 
Published: June 2019

Abstract
Colombia has experienced violence at the hands of both guerrillas and paramilitaries fighting
to control territories, drug trafficking, and gain political influence. Though in recent years armed
activities by both groups has subsided, their conflicting ideologies are visible in several contexts in
today’s polarized Colombia. We tend to think about conflict in terms of bullets and people in military
uniforms, but discourses of conflict are also evident in popular culture, such as music. In this paper, we
analyse 19 corridos paracos, videos produced by sympathisers of Right-wing guerrilla groups,
to demonstrate how this is done. Here, we find songs present a messianic portrayal of the paramilitary along
with sexist ideas as the representation of manliness. Moreover, there is an almost total absence of peaceful
actions in the lyrics, and an exaltation of brutality and terrorism. In a political context which cries out
for reconciliation, these do little to this end.
Geography, Geographers and the Future Scenario: Malaysia
Authors: Sirat M 
Published: June 2019

Abstract
Since early 2000, four future scenarios have been generated to chart the development of higher education in Malaysia. The most recent future scenario for Malaysia’s higher education was generated with the Fourth Industrial Revolution as its primary context and driver. Arguably, the Fourth Industrial Revolution represents new ways in which disruptive technologies are affecting educators, thus necessitating a redesigning of the education system and transform the learning and teaching delivery, as well as demanding the industry sectors to enhance, reskill and upscale talents. In this respect, geography as a discipline and geographers as the practitioners of this discipline need to adapt to the demands of the Fourth Industrial Revolution. The response to Fourth Industrial Revolution is indeed critical to ensure the relevance of the output and outcome of our efforts as geographers in the universities and in practice. The most critical element in geography that need geographers’ attention is the idea of physical versus virtual mobility, brought about by advanced technologies. The paper concludes that while the Fourth Industrial Revolution would introduce new technology that would ultimately reduce the need for real (physical) mobility, real human experience, which is the core concern of geography, nonetheless need to be defended. Human experience through purely virtual mobility could not replace those accumulated through travel and exploration. Google Sightseeing is a preamble to travel and experience and not the final destination. Geography and geographers would continue to have an important role to play in enhancing the human experience in the Fourth Industrial Revolution period. For this to happen, strategic initiatives must be put rolled out now.
The Simulation of Smong in Geography Learning to Enhance Understanding of Disaster
Authors: Gadeng A N , Maryani E , Ningrum E 
Published: June 2019

Abstract
Smong is the local wisdom belongs to people in Simeulue Regency, Aceh Province. The Smong poetry become guidance for people in disaster mitigation when tsunami occurred on Sunday, 26 December 2004 which cause only 7 Simeulue people died. Simulation as learning model which encourage students to rehearse on the spot and brought to situation resemble the actual situation, and it is done in classroom. This study aims to simulate the smong poetry into geography learning which comprise activity such as singing the smong poetry, interpreting the lyrics in smong poetry and applying the meaning of smong poetry in disaster mitigation. This study used qualitative approach, and the object of study in this study was the local wisdom smong and simulation learning model. Data was analyzed qualitative descriptively. The study result was the smong simulation learning model which consist of 4 steps, orientation by collaborating the local wisdom smong, participation rehearsal, the implementation of simulation, interview with participants (one or all next activities).The conclusion of this research is teachers can use certain learning model by utilizing people’s local wisdom as learning media, particularly in disaster mitigation material in geography subject.
Participatory Mapping for Community-Based Watershed Management, Lesson Learn from Central Java and West Nusa Tenggara
Authors: Ismail A , Affriani A R , Himayah S , Nandi  , Jupri  , Malik Y 
Published: June 2019

Abstract
The rehabilitate degraded watersheds efforts at the national level tends to ineffective, due to the lack of synergy between stakeholders and community involvement. This paper aims to give an idea that planning for rehabilitation of degraded watersheds can be started from the community level, through the involvement of the community in spatial planning. It can be done by integrating watershed and administration unit with participatory mapping method. From two locations in Central Java and West Nusa Tenggara, it shows that participatory mapping could be implemented as a method to identify existing land use, land cover and finding the problem in their environment. Furthermore, spatial planning can be developed together by the community in different village but in the same watershed area.
Transportation and Trade Network in Priangan Residency in The 20th Century
Authors: Mulyana Agus 
Published: June 2019

Abstract
This paper is a historical study that elaborates how the transportation network developed and people’s activities on trade in early 20th century in Priangan Residency. Within history study of Indonesia in the early 20th, it was always interpreted as a period of social change. Transportation and trade were indicators that contributed to social change. The study about transportation network, of which we could examine how transportation network that occurred between regions in Priangan Residency, whilst the trade examined types of trade and distribution as well as goods exchange that occurred in Priangan Residency. As in general, history study will answer about background and how the process takes place. Through this study, it is expected that it will provide historical picture towards people’s activities related to transportation and trade aspect in Priangan Residency in the early 20th.
Development Strategy For the Special Interest of Sustainable Tourism Object of Palembang
Authors: Oktavia M , Heldayani E 
Published: June 2019

Abstrack
Special interest tourism objects are one of the leading sectors developed in Palembang. But the realization was not optimal, especially the management and sustainable service. The research aims to formulate sustainable development strategies for special interest tourism. This research was a case study focused on special interest attractions AL-Quran Al-Akbar. Data is collected by in-depth interviews involving managers, users and the government. Data processing and analysis uses qualitative models from miles and hubberman and the formulation of development strategies was assessed using the SWOT analysis. The development strategies of special interest tourism objects were a) complementing and improving tourism facilities and infrastructure through iconic, instagramable and tripadvisor according to the digital trend, b) increasing human resources based on digital creative economy, c) increasing collaboration between government and management in tourism development through sales mission, festival / event and famtrip.
Ultra-Wideband Confocal Microwave Imaging for Brain Tumor Detection
Authors: Jamlos M A , Mustafa W A , Husna Nurasma , Syed Idrus S Z , Khairunizam Wan , Zunaidi I , Razlan Z M , Shahriman A B 
Published: June 2019

AbstractA high-performance UWB array antenna to identify a tumor in a human brain phantom using confocal microwave imaging technique is presented. The antenna operated within the ultra-wideband (UWB) from 1.2 GHz to 10.8 GHz. Its high gains of between 5.2 dB and 14.5 dB and compact 90 mm × 45 mm size enabled its functionality and eased its integration into the microwave imaging system. Besides developing UWB array antenna as the sensor, a low-cost human head phantom represented by tissue simulating liquid as layers of skin, fat, skull, and brain are also developed. The antenna transmits the signal through the head phantom from 9 different points and receives the scattered waves under two different conditions; in the presence and absence of the tumor. The recorded scattering parameters are further processed in an improved delay and sum imaging algorithm using Matrix Laboratory software to generate an accurate image. The produced image indicated the presence of the tumor with an error of less than 2 cm.
Development of predictive models for cervical cancer based on gene expression profiling data
Authors: Abdullah A A , Abu Sabri N K , Khairunizam Wan , Zunaidi I , Razlan Z M , Shahriman A B 
Published: June 2019

Abstract
Cervical cancer and the prediction of clinical outcome are among the most important emerging applications of gene expression microarray technology with feature sequencing of microRNA. By using reliable and dependable classification of machine learning algorithms available for microarray gene expression profiling data is the key in order to develop the most suitable and possible predictive model to be used by patient. In this paper, two-machine learning algorithms have been used which are Support Vector Machine (SVM) and Random Forests (RF) for the predictive models of cervical cancer. We identify and evaluate the performance of these two algorithms in order to know which algorithm has better performance. In this study, 714 features and 58 samples are used to develop predictive model for cervical cancer and our computational results show that RF algorithm outperform SVM algorithm with the accuracy of 94.21%. Our data also underline the importance of variables, which give the significant role in predicting the occurrence of cervical cancer.
Navigation Mobile Apps Utilization and K–MACS Algorithm for VRPTW Model of Fruits Distribution
Authors: Hartati S , Seminar K B , Sutrisno  
Published: June 2019

Abstract
This study proposed an extended multiple ant-colony system for vehicle routing problem with time windows (K-MACS VRPTW) in delivery cases considering by the temperature sensitive and perishable products (TSPPs) of strawberries. K-MACS VRPTW is organize with K-Means to partitioning, and MACS, a hierarchy of two artificial ant colonies with objective function to minimizes vehicles used and the transportation times. The designed model is concerning to obtain optimal shipment of box reefer vehicle both Colt-L300 and colt diesel-double (CDD) delivery routes and the unviolated trips time of distribution-center about 8 and 12 working hours. The parameters was the calculation shortest distances of clustering in Euclidean and optimal routing in Haversine. Experimental results was better than the single MACS-VRPTW solution, that is savings costs as diminish the vehicles used by 5 instead 4 vehicles with shorter total distance and quicker travel time. The trials of the assigned feasible routes is using Voyager, the free navigation mobile apps with API Google direction service for optimization, was found a better nodes sequences of routes mapping.
A Comprehensive Review on Document Image (DIBCO) Database
Authors: Mustafa W A , Khairunizam Wan , Zunaidi I , Razlan Z M , Shahriman A B 
Published: June 2019

Abstract
One of the most significant current discussions in image processing is a document analysis. Now, many types of document database were established in order to address the issue of binarization effectiveness. In this paper, a comprehensive review of the document database was presented. Review based on an image from Document Image Binarization Contest (DIBCO) from 2013 to 2017 which consists of handwritten and printed image. The best algorithm for each year is discussed and analyzed. Based on the results, the technique using background estimation and stroke edges is better performance for the overall database. Besides, the method using the combination of Laplacian operator and canny edge detection also shows the successful result, especially in the printed image. Implications of the review give the direction for future binarization approach developments.
Blood Vessel Extraction Using Combination of Kirsch’s Templates and Fuzzy C-Means (FCM) on Retinal Images
Authors: Azani Mustafa Wan , Syauqi Mahmud Ahmad , Khairunizam Wan , Razlan Z M , Shahriman A B , Zunaidi I 
Published: June 2019

Abstract
Disease diagnosis based on retinal image analysis is very popular in order to detect a few critical diseases such as diabetic retinopathy, high blood pressure, cancer and glaucoma. The important part in the retinal is a blood vessel. Besides, the blood vessel study plays an important part in different medical areas such as ophthalmology, oncology, and neurosurgery. The significance of the vessel analysis was helped by the continuous overview in clinical studies of new medical technologies intended for improving the visualization of vessels. In this paper, a new blood vessel detection based on a combination of Kirsch’s templates and Fuzzy C-Means (FCM) was proposed. The main objective of this study is to improve the detection result of FCM and achieved more effective performance compared to the Kirsch’s templates result. The proposed method experimented on 20 images is utilized namely from Digital Retina Images for Vessel Extraction (DRIVE) dataset. The resulting images are compared with the benchmark images based on a few image quality assessment (IQA) such as accuracy, sensitivity and specificity. The total average of accuracy is 92.64%, while sensitivity and specificity got 95.73% and 60.45% respectively.
Analysis of Human Behaviour while Controlling the Steering Wheel of a Buggy Electric Vehicle (EV)
Authors: Halin Hafiz , Khairunizam Wan , Ikram K , Haris Hasri , Zunaidi I , Bakar S A , Razlan Z M , Noriman N Z 
Published: June 2019

Abstract
Human ability to make a decision and recognize pattern are based on their intelligence level and experience. This ability makes the driver alert and knows what they need to do at certain situations. This paper aims to study human behavior while driving the vehicle at the desired path. Certain criteria subjects are selected with the purpose to study their driving pattern. The subjects must own a driving license and driving experience less than 10 years. The subject then drives the vehicle at the designed paths, which is straight and right turn. The drive pattern for the subjects shows a similar pattern but different characteristics. The experiments used to create a fuzzy controller that imitate human behavior while controlling the steering wheel. The steering wheel angle, position, heading and speed of the vehicle are recorded during the experiments. This paper only focus on the analysis of human behaviour based on steering wheel angle recorded.
Document Images Binarization Using Hybrid Combination of Fuzzy C-Means and Deghost Method
Authors: Mustafa W A , Aziz Hairy , Khairunizam Wan , Zunaidi I , Razlan Z M , Shahriman A B 
Published: June 2019

Abstract
This paper presents a document binarization approach to the document image. Thousands of historical documents usually hold important information within them. It is usually stored in the national archives and library around the globe waiting to be scanned to retrieve the content it holds. However, many environmental factors, improper handling, and the poor quality of the materials used in the document creation cause it to suffer a high degree of degradation of various types. In order to retrieve the content of the degraded historical document, a binarization approach on document images must be applied. The processes of the binarization separate pixel value of an input image into two values which is white as the background and black as foreground text. The proposed system consists of three parts. In the first part, the image pre-processing operation is done before the binarization process to enhance image quality. In this part, Contrast Stretching and Mean Filter is applied onto the image to remove noise on the image. The second part will be to apply the binarization algorithm on the document image that has undergone an image pre-processing operation. By applying the Fuzzy C-Means algorithm to the document images, the images will be converted to a binary image and divided into two components, which is text and background. The last step of the proposed method will be performing the Deghost operation to remove “ghost” entities that may have appeared on the document image. The method will undergo imaging quality analysis, such as PSNR, Accuracy, and F-measure to determine the effectiveness of the proposed method. The experimental results on H-DIBCO 2013 dataset show the robustness, reliability, and efficiency in the proposed approach.
Improved KNN Scan Matching for Local Map Classification in Mobile Robot Localisation Application
Authors: Markom M A , Adom A H , Abdul Shukor S A , Abdul Rahim N , Mohd Muslim Tan E S , Ilias B 
Published: June 2019

Abstract
Localisation is essential for autonomous mobile robot system enabling it to locate itself within its environment. One method to perform localisation is to use scan matching with iteration closest point (ICP) algorithm. However, typical ICP may be prone to inaccuracies in localisation and mapping due to problems associated with laser range data limitation such as overshoot data and blank data. This paper presents the improvement to the above problem by the inclusion of a threshold to the KNN scan matching algorithm during iteration process. The threshold is a percentage of nearest point of incoming input with respected to reference point. Threshold values of 0%, 70% and 90% were tested, and improvements of the classification performance were observed with the increase in the threshold values, with the latter achieving 100% accuracy. This work shows that the use of threshold in scan matching may improve the accuracy of local map classification.
Fragmentation in MAC IEEE 802.15.4 to Improve Delay Performance in Wireless Body Area Network (WBAN)
Authors: Nadia Wan Abdullah Wan Aida , Yaakob Naimah , Badlishah R. , Elshaikh Elobaid Mohamed , Asilah Yah Siti , Zunaidi I. 
Published: June 2019

Abstract
A Medium Access Control (MAC) protocol plays a significant role in enhancing the performances of Wireless Body Area Network (WBAN). This technology is commonly implemented IEEE 802.15.4 standard that works under CSMA/CA protocol. In addition, WBAN deals with probability of high traffic occurrence due to collection bulk of medical data that are generated from several bio-sensors through a continuous monitoring of patient’s health. This phenomenon could result to congestion in the network which may lead to increment in delay and packet loss that could collapse the network. The increment in these two performances could lead to wrongly diagnosed of the diseases as well as late in medical help. Hence, the proposed mechanism aimed to reduce the delay through fragmenting the packets by decrementing the slot time in MAC 802.15.4 protocol under different number of number nodes with constant packet size and bit rate. The performances of the proposed mechanism are measured in terms of delay and packet loss by using OMNeT++ simulator tool. Based on the collected results, the proposed mechanism has shown a promising result in reducing the delay which means that it has improved the network performance of WBAN.
Low-Complexity Distributed SDN Controller Environments on Switch Migration Testbed
Authors: Bin Mohd Warip Mohd Nazri , Yen Phing Ng , Mat Safar Anuar , Badlishah Ahmad R. , Yaakob Naimah , Amir Amiza , Ibrahim Zunaidi 
Published: June 2019

Abstract
Control Path Management is an important component in the Distributed SDN Controller, and plays a key role in Software Defined Networking (SDN). Testbed simulations are done with an implementation of several controllers are deployed to improve the scalability and reliability of the control plane framework by employed network clustering into several subdomains with separate controllers. This paper investigates the deployment of distributed SDN controller but logically centralized systems for decouples control plane using Distributed Traffic Engineering mechanism. The results obtained show that the proposed mechanism can achieve controller load balancing with better performance.