bluuebunny/crossref_metadata_2025 huggingface dataset:
Pervasive Positive and Negative Feedback Regulation of Insulin-Like Signaling inCaenorhabditis elegans
Authors: Kaplan Rebecca E W , Maxwell Colin S , Codd Nicole Kurhanewicz , Baugh L Ryan
Published: November 2018

The Caenorhabditis elegans genome encodes 40 insulin-like peptides, but the dynamics of insulin signaling both during development and in response to nutrient availability is not well understood. Kaplan and Maxwell et al. report that transcription of....

The Caenorhabditis elegans insulin-like signaling network supports homeostasis and developmental plasticity. The genome encodes 40 insulin-like peptides and one known receptor. Feedback regulation has been reported, but the extent of feedback and its effect on signaling dynamics in response to changes in nutrient availability has not been determined. We measured messenger RNA expression for each insulin-like peptide, the receptor daf-2, components of the PI3K pathway, and its transcriptional effectors daf-16/FoxO and skn-1/Nrf at high temporal resolution during transition from a starved, quiescent state to a fed, growing state in wild type and mutants affecting daf-2/InsR and daf-16/FoxO. We also analyzed the effect of temperature on insulin-like gene expression. We found that most PI3K pathway components and insulin-like peptides are affected by signaling activity, revealing pervasive positive and negative feedback regulation at intra- and intercellular levels. Reporter gene analysis demonstrated that the daf-2/InsR agonist daf-28 positively regulates its own transcription and that the putative agonist ins-6 cross-regulates DAF-28 protein expression through feedback. Our results show that positive and negative feedback regulation of insulin-like signaling is widespread, giving rise to an organismal FoxO-to-FoxO signaling network that supports homeostasis during fluctuations in nutrient availability.
Determinação de valores próprios de referência para vitamina D, hormônio paratireoideo e cálcio em um laboratório de análises clínicas
Authors: Rodrigues Adriana Dalpicolli , Weirich Estefânia , Duarte Eunice Zanandréa
Published: November 2018

AIMS: To determine the proper reference intervals for vitamin D, parathyroid hormone (PTH) and calcium in a clinical laboratory.METHODS: A retrospective cross-sectional study was carried out at the units of Alfa Ltda. Laboratory, located in Caxias do Sul, in the mountain region of Rio Grande do Sul. The sample included self-declared healthy clients and laboratory workers. The study was based on two research methods (direct and indirect) proposed by the Clinical & Laboratory Standards Institute for the establishment of proper reference intervals for a specific laboratory. The direct method (DM) involved questionnaire application, collection and analysis of blood samples and the indirect method (IM) consisted of database analysis.RESULTS: Results of 241 individuals were evaluated in the DM, of which 120 were female. The mean age of participants was 33.8±10.6 years. IM resulted in 5,485 values for vitamin D, 191 for PTH, and 856 for calcium. The mean age of the individuals was 45.0±15.6 years, 49.0±15.3 years and 48.87±15.41 years, respectively. The proper reference intervals obtained by the DM were statistically equal to those of the IM for the three dosages. When comparing the reference intervals obtained with those available in the manufacturer report, vitamin D resulted in a lower range of normality (report: >30 ng/mL; MD: 10-47 ng/mL; MI: 11-46 ng/mL), PTH in a higher range (report: 15-68.3 ng/mL; MD: 19.2-81.6 ng/mL; MI: 26.1-94.3 ng/mL), and calcium presented very close values (report: 8.3-10.6 ng/mL; MD: 8.3-10.2 ng/mL; MI: 8.2-10.1 ng/mL). There was a statistical difference between the reference intervals established for vitamin D and calcium between genders.CONCLUSIONS: Both MD and MI were efficient for the determination of proper reference intervals. The reference intervals established in the study, specifically for vitamin D and PTH, were different from those suggested in the manufacturer's package insert, which reinforces the recommendation of establishing proper reference intervals for each laboratory.
Wann hat das fest bei Adrastos stattgefunden? Eine untersuchung zu stat. theb. 1. 692–693
Authors: Hogenmüller Boris
Published: November 2018

Astronomical phenomena play a specific role in ancient literature to illustrate the internal chronology of the plot. It is obvious that especially poetical texts which deal with constellations and astronomical terms show a maximum of the so called poetical doctrina as – for example – can be seen in the work of Statius. The present paper thus tries to prove this thesis by analyzing the verses 692–693 of the first book of the Thebais. Therein the vanishing of the Great Bear/Big Dipper constellation seems to refer to a specific season.
KORESPONDENSI DALAM PUBLIKASI ILMIAH
Authors: Darmalaksana Wahyudin , Suryana Yaya
Published: November 2018

Penelitian dan publikasi ilmiah tidak dapat dipisahkan, hasil penelitian belum bermakna apabila belum terpublikasi dengan baik pada jurnal, buku atau media lainnya. Tujuan penelitian ini adalah untuk menguraikan tentang teknik publikasi dan korespondensi dalam publikasi ilmiah sehingga hasil penelitian dapat terpublikasi dengan baik sesuai dengan template dan scope yang ditentukan sehingga alur pengiriman artikel sesuai dengan harapan penulis dan pengelola jurna mulai dari kirim artikel, menerima revisi sampai mengirim hasi revisi berbasis online atau open journal system yang semua itu diperlukan adanya korespondensi. Metode penelitian merupakan penelitian kulitatif dengan pendekatan deskriptif menguraikan tentang teknik publikasi melalui korespondensi penulis. Hasil penelitian ini menyatakan bahwa pentingnya korespondensi dalam publikasi untuk mempermudah dan meningkatkan kualitas dan kuantitas paper pada publikasi pada jurnal online.
ANALYSIS OF MARINE AND COASTAL RESOURCES SUSTANABILITY IN BENOA BAY RECLAMATION SITE
Authors: Kenyo Asri , Soesilo Tri Edhi Budhi , Pranowo Widodo Setiyo
Published: November 2018

Land is one of limited natural resources. The high requirement of land made technology develop by reclamation method. The purpose of reclamation should be for increasing the benefit of natural resources and community welfare, but in fact the reclamation contribute the environmental problem and social conflict. The aims of this research are analyzing the sustainability of marine and coastal resources in Benoa Bay Reclamation Site based on 4 dimension, there are Environmental, Social, Economic, and Marine Spatial Utilization. This research was conducted quantitative approach by Multidimensional Scaling (MDS) for assessing the sustainability of marine and coastal resources. The result of research shows sustainability value of each dimension in sequence starting from the lowest is Marine Spatial Utilization (44,31%-Less Sustainable), Social (49,79%-Less Sustainable), Environmental (49,88%-Less Sustainable). The overall sustainability value of marine and coastal resource analysis in Benoa Bay reclamation site is 43,15% (Less Sustainable). Further consideration is needed if the reclamation plan is to be implemented in Benoa Bay.
Rigid pile response to cyclic lateral loading: laboratory tests
Authors: Abadie Christelle N. , Byrne Byron W. , Houlsby Guy T.
Published: November 2018

This paper presents experimental work aimed at improving understanding of the behaviour of rigid monopiles, in cohesionless soils, subjected to lateral cyclic loading. It involves 1g laboratory model tests, scaled to represent monopile foundations for offshore wind turbines. The test programme is designed to identify the key mechanisms governing pile response, and is divided into four main parts: (a) investigation of loading rate effects; (b) hysteretic behaviour during unloading and reloading; (c) pile response due to long-term single-amplitude cyclic loading; and (d) multi-amplitude cyclic loads. The results show that the pile response conforms closely to the extended Masing rules, with additional permanent deformation accumulated during non-symmetric cyclic loads. This ratcheting behaviour is characterised by two features: first, the ratcheting rate decreases with cycle number and depends on the cyclic load magnitude, and second, the shape of the hysteresis loop tightens progressively, involving increased secant stiffness and decreased loop area. Test results involving multi-amplitude load scenarios demonstrate that the response of the pile to complex load scenarios can be analysed and understood using the conclusions from single-amplitude cyclic loading. Such test results should be sufficient for deriving the principles of new modelling approaches.
Искусство действия в городской среде
Authors: Смирнов Николай Александрович
Published: November 2018

В статье дается обзор исследовательских и критических художественных практик, осуществляемых в городском пространстве: от рождения дискурса в конце XIX в. и фигуры фланера у Бодлера и Беньямина через протестные художественные движения 1960-х годов к «картографии реальности», активизму и практике «движений», создающих пространства альтернативного опыта в постгороде. Урбанистический метанарратив был сформирован трудами В. Беньямина, А. Лефевра и М. де Серто. Многочисленные протестные движения 1960-х отказались от репрезентации пространства и стали производить пространства в различных городских практиках, таких как дрейф и психогеография. Затем, в 1970-е и 1980-е годы отношения между искусством и городом стали более гибкими. Различные художественные практики начали использоваться в urban studies. Швейцарский исследователь Л. Буркхардт изобрел строллологию, или променадологию,— междисциплинарное поле искусства, урбанистики и социологии. Многочисленные междисциплинарные исследования и длительная «пролетаризация» искусства привели к стиранию различий между методами искусства, активизма и повседневных городских практик. Урбанистический нарратив все еще влиятельный, однако не описывает сегодня ситуацию исчерпывающим образом. Ученые пытаются переосмыслить, переизобрести «городское». Современный город, или постгород,— это место тотальной множественности, эквивалентных описаний и альтернативных онтологий. Сегодня группы художников и активистов действуют как онтологические скульпторы городского тела, создавая новые множественные режимы существования и воображения городского пространства.
Hemşirelik Öğrencilerinde Problem Çözme Becerisinin Klinik Karar Verme Düzeylerine Etkisi
Authors: DEMİR BARUTCU Canan
Published: November 2018

Amaç: Bu çalışma hemşirelik öğrencilerinde problem çözme becerisinin klinik karar verme düzeylerine etkisini incelemek amacıyla yapılmıştır.Method: Tanımlayıcı ve korelasyonel nitelikte olan araştırmanın örneklemini bir devlet üniversitesinin sağlık bilimleri fakültesi hemşirelik bölümünde eğitim gören 231 öğrenci oluşturmuştur. Veriler, problem çözme envanteri ve hemşirelikte klinik karar verme ölçeği kullanılarak toplanmıştır.Bulgular: Öğrencilerin yaş ortalaması 21.07 ± 1.64, % 68.4’ü kadın, %39’u ikinci sınıf öğrencisi olarak bulunmuştur. Öğrencilerin problem çözme becerilerinin yüksek olduğu, cinsiyet ve sınıf düzeyinin problem çözme becerileri anlamında fark yaratmadığı buna karşın bölümü isteyerek seçme, mesleği sevme, teorik bilgiyi uygulamaya yansıtma ve klinik uygulamada sorun yaşama durumlarına göre farklılıklar olduğu bulunmuştur (p<0.05). Öğrencilerin klinik karar verme durumlarının iyi düzeyde olduğu, problem çözme becerileri ile hemşirelikte klinik karar verme ölçeği puan ortalamaları arasında güçlü, negatif yönde, istatistiksel olarak ileri düzeyde anlamlı bir ilişki olduğu belirlenmiştir (r = -.565, p = .000). Öğrencilerinin problem çözme becerilerin klinik karar verme becerilerini olumlu yönde etkilediği bulunmuştur.Sonuç: Elde edilen bulgular çerçevesinde hemşirelik öğrencilerinin problem çözme becerilerin klinik karar verme becerilerini etkilediği, öğrencinin klinik karar verme becerilerini arttırmak için eğitim müfredatlarında problem çözme becerilerini geliştirmek adına girişimler planlanması önerilmektedir.
Reovirus Viral Purification v3
Authors: Mainou Bernardo
Published: November 2018

Purification of mammalian orthoreovirus by CsCl gradient
Ultrasonic thickness measurement technique with self-calibration function
Authors: Gan Fangji , Min Lin , Tao Xu , Liao Junbi
Published: November 2018

Corrosion in the pressure pipelines of nuclear reactors is a major threat to the structural safety of nuclear submarines. Online monitoring techniques are needed, rather than offline inspection techniques, owing to the special nature of nuclear reactors. The traditional ultrasonic thickness
measurement technique is usually used for the offline estimation of pipe thickness, but it is difficult to use as an online monitoring technique because it requires periodic calibration. This paper proposes an ultrasonic thickness measuring technique with a self-calibration function through
the introduction of a calibration block. However, the introduction of the calibration block generates trailing echoes and therefore a threaded cylindrical calibration block is designed to eliminate such trailing echoes.
Changes in Serum Fatty Acids Levels during Pregnancy and After Delivery in a Longitudinal Study
Authors: Bohorquez-Villamizar Luisa Fernanda , Garcés Maria Fernanda , Poveda Natalia Elvira , Sanchez Elizabeth , Alvarado-Quintero Hernando , Sandoval-Alzate Héctor Fabio , Rueda Elkin Darío , Dieguez Carlos , Nogueiras Rubén , Caminos Jorge E.
Published: November 2018

Introduction: During pregnancy, several maternal metabolic adaptations occur. One of these adaptations is the significant changes in lipid metabolism which contribute to the nutrient balance of the fetal-placental unit, essential for fetal development and lactation.Methods: In this study, serum concentration of different fatty acids in healthy pregnant women and three months postpartum were determined by capillary gas chromatography and compared to healthy non-pregnant women and men. Differences between groups were assessed with one-way analyses of variance and the post hoc Tukey-HSD test for multiple comparisons. The Mann-Whitney U test was used when a variable was not normally distributed. All statistical analyses were conducted using R statistical Software (version 3.3.1).Results: The results showed that serum levels of these maternal fatty acids increased significantly from the middle until the end of pregnancy compared to non-pregnant women and decreased at postpartum. Saturated fatty acids were observed to contribute to the highest percentage of total serum fatty acids during gestation, followed by polyunsaturated and monounsaturated fatty acids. Additionally, serum levels of total, saturated, monounsaturated, polyunsaturated and TRAN’s fatty acids were significantly elevated in healthy non-pregnant women when compared with men.Conclusion: There are significant differences in the lipid profiles among pregnant and non-pregnant women and men, with a decrease in the serum profile of all fatty acids in the postpartum period.
Web 2.0: Repassando a breve história da “nova galáxia midiática”
Authors: Rochana Tavares do Couto Dilnéia
Published: November 2018

A comunicação social e, em especial, o jornalismo passam por um processo de transformação tanto de suas características internas como de seus âmbitos e personagens de atuação. A comunicação em rede vem oferecendo grandes e importantes desafios à comunicação social midiática tradicional. Se, por uma parte, a estrutura da comunicação precisou ser repensada e redimensionada no que tange aos interesses cidadãos que nascem e ganham voz na comunicação em rede, por outra parte, o jornalismo tradicional tampouco ficou a margem destas reivindicações, impondo-lhe o desafio de reinventar-se na era da informação e comunicação em rede. Tais demandas nascem especialmente de um novo papel que o cidadão assume no novo entorno político que se construiu na “Rede”, uma mobilização social que identifica uma grande pluralidade de novas formas de fazer e entender as funções que cabem ao jornalismo na “galáxia midiática”. Considerando este panorama, este artigo pretende apresentar uma análise sob a forma de diagnóstico desta realidade que mudou a práxis comunicativa no novo entorno midiático.
A Program Optimization Method for Embedded Software Developed Using Open Sources
Authors: Cho Sang-Young
Published: November 2018

Program optimization or software optimization is the process of modifying a software system to make some aspect of it work more efficiently or use fewer resources. When developing software for embedded systems, open source libraries are usually used. An Embedded software built using a variety of open software and libraries is apt to have too many unused codes because open source libraries contain many functions and features to be used in various applications. In this paper, we describe the process of a library optimization method to reduce memory consumption for the user interface software of a set-top box product. The overall optimization process uses freeware tools developed for the Linux operating system. We devised an optimization technique to compensate for operation imperfections in the target system. The original Qt library of 19.57 MB was optimized to be 7.26 MB in program image size. In the case of the DirectFB library, 3.2 MB was reduced to 2.4 MB. The optimization process can be applied to any embedded software that are developed with open source libraries or sources.
Spatial Clustering based Meteorological Fields Construction for Regional Vulnerability Assessment
Authors: Lee Taemin , Choi Woosung , Sohn Jongryuel , Moon Kyongwhan , Byeon Sanghoon , Lee Wookyun , Jung Soonyoung
Published: November 2018

Chemical accidents have affected the social-environmental system. For the regional vulnerability assessment, which is the baseline work to assess the impact on the environment, a meteorological field is needed to determine how chemicals from multiple adjacent companies are propagated. In this study, we present the method of meteorological field based on the spatial cluster which is the main component of vulnerability assessment on regional chemical accident scenario. To integrate spatially dense chemical companies into a cluster, we adopt spatial clustering algorithms. Experiment result shows that DBSCAN-based approach reduces 80.5% total area of the meteorological field against brute-force algorithm, and shows good performance on the average of the overlap ratio, and utility ratio for clustering results.
Movie Recommendation Service Based on Preference Correlation Coefficient of Audience in Smart Environment
Authors: Xuan Songai , Kim DoHyeun
Published: November 2018

Recommendation system has been more and more popular recent years. It can help people make decisions easily, and is used in many popular applications include movies, music, news, books, research articles, search queries, social tags, and products in general. Smart homes also get enormous attention in the last decade, due to the important applications like health, energy and security. Different techniques and approaches have been devised by the researchers to make the smart home more efficient and effective. In this paper, we propose the movie recommendation service based on preference correlation coefficient of audience in smart environment, which will lead to the entertainment convenient in smart environment.
Cosine Harmony Search (CHS) for Static Optimization
Authors: Bohani Farah Aqilah , Sheikh Abdullah Siti Norul Huda , Omar Khairuddin
Published: November 2018

Harmony Search (HS) is a behaviour imitation of a musician looking for the balance harmony. HS suffers to find the best parameter tuning especially for Pitch Adjustment Rate (PAR). PAR plays a crucial role in selecting historical solution and adjusting it using Bandwidth (BW) value. However, PAR in HS requires to be initialized with a constant value at the beginning step. On top of that, it also causes delay in convergence speed due to disproportion of global and local search capabilities. Even though, some HS variants claimed to overcome that shortcoming by introducing the self-modification of pitch adjustment rate, some of their justification were imprecise and required deeper and extensive experiments. Local Opposition-Based Learning Self-Adaptation Global Harmony Search (LHS) implements a heuristic factor, Î· for self-modification of PAR. It (Î·) manages the probability for selecting the adaptive step either as global or worst. If the value of Î· is large, the opportunity to select the global adaptive step is high, so the algorithm will further exploit for better harmony value. Otherwise, if Î· is small, the worst adaptive step is prone to be selected, therefore the algorithm will close to the global best solution. In this paper, regarding to the HS problem, we introduce a Cosine Harmony Search (CHS) by incorporating embedment of cosine and additional strategy rule with self-modification of pitch tuning to enlarge the exploitation capability of solution space. The additional strategy employs the Î· inspired by LHS and contains the cosine parameter. We test our proposed CHS on twelve standard static benchmark functions and compare it with basic HS and five state-of-the-art HS variants. Our proposed method and these state-of-the-art algorithms executed using 30 and 50 dimensions. The numerical results demonstrated that the CHS has outperformed with other state-of-the-art in accuracy and convergence speed evaluations.
Classification of Encouragement (Targhib) And Warning (Tarhib) Using Sentiment Analysis on Classical Arabic
Authors: AlHasani Hatem , Saad Saidah , Kassim Junaidah
Published: November 2018

The Holy Qur’an is the main religious text of Islam. The Qur’an has its own methods of Targhib (encouragement) and Tarhib (warning), which are important features of the Qur’an. Most of the Quranic verses would urge and encourage people to do right and good deeds, and also warn them from committing evil and bad deeds. The method of classifying a text into two opposing opinions has been applied previously in solving the problem of sentiment analysis. Currently, it is applied in identifying between Targhib (encouragement) and Tarhib (warning) verses in the Qur’an. Each verse of the Qur’an can be treated as either an encouragement, warning or neutral. The language of the Holy Qur’an is one of the most challenging natural languages in sentiment analysis.  The aim of this work is to classify the verses of encouragement and warning using sentiment analysis and NLP techniques. Several approaches are used in the Sentiment Analysis classification, such as the machine learning approach, the lexicon-based approach and the hybrid approach. In carrying out this aim, the applied machine learning approach was used, where the impact of the use of different techniques such as POS tagging, N-Gram and Feature selection with correlation based were evaluated and investigated. 95.6% accuracy was achieved using Naí¯ve Bayes (NB) and 91.5% accuracy was achieved using the Support Vector Machines (SVM). This study is a significant study in extracting information and knowledge from the Holy Qur’an. It is significant for both researchers in the field of Islamic studies as well as non-specialized researchers.
Hybrid Machine Translation with Multi-Source Encoder-Decoder Long Short-Term Memory in English-Malay Translation
Authors: Yeong Yin-Lai , Tan Tien-Ping , Gan Keng Hoon , Mohammad Siti Khaotijah
Published: November 2018

Statistical Machine Translation (SMT) and Neural Machine Translation (NMT) are the state-of-the-art approaches in machine translation (MT). The translation produced by a SMT is based on the statistical analysis of text corpora, while NMT uses deep neural network to model and to generate a translation. SMT and NMT have their strength and weaknesses. SMT may produce better translation with a small parallel text corpus compared to NMT. Nevertheless, when the amount of parallel text available is large, the quality of the translation produced by NMT is often higher than SMT. Besides that, study also shown that the translation produced by SMT is better than NMT in cases where there is a domain mismatch between training and testing. SMT also has an advantage on long sentences. In addition, when a translation produced by an NMT is wrong, it is very difficult to find the error. In this paper, we investigate a hybrid approach that combine SMT and NMT to perform English to Malay translation. The motivation of using a hybrid machine translation is to combine the strength of both approaches to produce a more accurate translation. Our approach uses the multi-source encoder-decoder long short-term memory (LSTM) architecture. The architecture uses two encoders, one to embed the sentence to be translated, and another encoder to embed the initial translation produced by SMT. The translation from the SMT can be viewed as a “suggestion translation” to the neural MT. Our experiments show that the hybrid MT increases the BLEU scores of our best baseline machine translation in computer science domain and news domain from 21.21 and 48.35 to 35.97 and 61.81 respectively.
A Survey on Malware Analysis Techniques: Static, Dynamic, Hybrid and Memory Analysis
Authors: Sihwail Rami , Omar Khairuddin , Zainol Ariffin Khairul Akram
Published: November 2018

Now a day the threat of malware is increasing rapidly. A software that sneaks to your computer system without your knowledge with a harmful intent to disrupt your computer operations. Due to the vast number of malware, it is impossible to handle malware by human engineers. Therefore, security researchers are taking great efforts to develop accurate and effective techniques to detect malware. This paper presents a semantic and detailed survey of methods used for malware detection like signature-based and heuristic-based. The Signature-based technique is largely used today by anti-virus software to detect malware, is fast and capable to detect known malware. However, it is not effective in detecting zero-day malware and it is easily defeated by malware that use obfuscation techniques. Likewise, a considerable false positive rate and high amount of scanning time are the main limitations of heuristic-based techniques. Alternatively, memory analysis is a promising technique that gives a comprehensive view of malware and it is expected to become more popular in malware analysis. The main contributions of this paper are: (1) providing an overview of malware types and malware detection approaches, (2) discussing the current malware analysis techniques, their findings and limitations, (3) studying the malware obfuscation, attacking and anti-analysis techniques, and (4) exploring the structure of memory-based analysis in malware detection. The detection approaches have been compared with each other according to their techniques, selected features, accuracy rates, and their advantages and disadvantages. This paper aims to help the researchers to have a general view of malware detection field and to discuss the importance of memory-based analysis in malware detection.
Wi-Fi Indoor Positioning Fingerprint Health Analysis for a Large Scale Deployment
Authors: Yeo KS , Ting A , Ng SC , Chieng D , Anas N
Published: November 2018

Indoor positioning systems (IPS) have witnessed continuous improvements over the years. However, large scale commercial deployments remain elusive due to various factors such as high deployment cost and/or lacked of market drivers. Among the state of the art indoor positioning approaches, the Wi-Fi fingerprinting technique in particular, is gaining a lot of attention due its ease of deployment. This is largely due to widespread deployment of WiFi infrastructure and its availability in all existing mobile devices. Although WiFi fingerprinting approach is relatively low cost and fast to deploy, the accuracy of the system tends to deteriorate over time due to WiFi access points (APs) being removed and shifted. In this paper, we carried out a study on such deterioration, which we refer to as fingerprint health analysis on a 2 million square feet shopping mall in South of Kuala Lumpur, Malaysia. We focus our study on APs removal using the actual data collected from the premise. The study reveals the following findings: 1) Based on per location pin analysis, ~50% of APs belong to the mall operator which is a preferred group of APs for fingerprinting. For some location however, the number of operator-managed APs are too few for fingerprinting positioning approach. 2) To maintain mean error distance of ~5 meter, up to 80% of the APs can be removed using the selected positioning algorithms at some locations. At some other locations however, the accuracy will exceed 5m upon >20% of APs being removed. 3) On average, around 40% - 60% of the APs can be removed in random manner in order to maintain the accuracy of ~5m.
Blockchain Technology the Identity Management and Authentication Service Disruptor: A Survey
Authors: Lim Shu Yun , Tankam Fotsing Pascal , Almasri Abdullah , Musa Omar , Mat Kiah Miss Laiha , Ang Tan Fong , Ismail Reza
Published: November 2018

The Internet today lacks an identity protocol for identifying people and organizations. As a result, service providers needed to build and maintain their own databases of user information. This solution is costly to the service providers, inefficient as much of the information is duplicated across different providers, difficult to secure as evidenced by recent large-scale personal data breaches around the world, and cumbersome to the users who need to remember different sets of credentials for different services. Furthermore, personal information could be collected for data mining, profiling and exploitation without users' knowledge or consent. The ideal solution would be self-sovereign identity, a new form of identity management that is owned and controlled entirely by each individual user. This solution would include the individual's consolidated digital identity as well as their set of verified attributes that have been cryptographically signed by various trusted issuers. The individual provides proof of identity and membership by sharing relevant parts of their identity with the service providers. Consent for access may also be revoked hence giving the individual full control over its own data. This survey critically investigates different blockchain based identity management and authentication frameworks. A summary of the state-of-the-art blockchain based identity management and authentication solutions from year 2014 to 2018 is presented. The paper concludes with the open issues, main challenges and directions highlighted for future work in this area. In a nutshell, the discovery of this new mechanism disrupted the existing identity management and authentication solutions and by providing a more promising secure platform.
Sensory and Physical Properties of Pla-duk-ra (Dried Fermented Catfish) at Different Conditions of Drying
Authors: Azhani Siti , Hniman Adilan , Laehmad Nattaya , Hanifarianty Sherly , Masniyom Payap , Noipom Tawat , Wae-hayee Makatar
Published: November 2018

In southernmost Thailand, big scale production of catfish demands a development of new lines of catfish-based products to fully utilize the raw material.  Pla-duk-ra (dried fermented catfish) is one such innovation. Traditional method of sunlight drying is commonly used to dry Pla-duk-ra. However, products are highly prone to contamination since they are dried in exposed area. Direct exposure to sunlight could also affect heat labile and light-sensitive nutrients.  In this study, other methods of drying were investigated to dry Pla-duk-ra with improved hygiene practice, physical properties and sensory profile.  Two scenarios were studied in this work. The objective of the first scenario was to determine the best range of temperature to dry a good and acceptable Pla-duk-ra by comparing open sun drying (range 40ËšC to 50ËšC) and shade drying (under the roof; 30ËšC to 40ËšC) . The best range of temperature obtained was then used for the second scenario where open sun, infrared and tray drying were further studied. Moisture content, water activity, colour,  texture profile analysis were performed on the Pla-duk-ra samples. Fried Pla-duk-ra was used in sensory evaluation to investigate consumer’s acceptance and preference. Open sun drying was found to be more superior to dry Pla-duk-ra resulting in darker shade of product as compared to shade drying. The moisture content for open sun drying and shade drying of Pla-duk-ra were reported 23.65% and 28.06%, respectively. Infrared heater gave the highest water activity (0.77) with the highest score for redness. Meanwhile, Pla-duk-ra dried under the hot-air tray resulted in the highest score for brightness (L*). Overall acceptance by the consumer showed that the Pla-duk-ra dried under the hot-air tray was the most preferred followed by open sun drying and infrared heater drying. To this end, hot-air tray drying could be applied in drying Pla-duk-ra in large scale production.
Cutout Types Analysis on Picohydro Pelton Turbine
Authors: Budiarso - , Warjito - , Adanta Dendy , Putra Nesen Syah , Vohra Hans
Published: November 2018

Pico hydro is a simple electricity generation technology and can be applied in remote areas that do not have access to electricity.  Pico hydro systems produce power less than or equal to 5 kW. Pelton turbine is an impulse turbine frequently used in a pico hydro system. Pelton turbine has a cut-out in its buckets that prevent the water jet leak from the tip of the bucket into the next bucket. The study has been done to explain the effects of bucket geometry on energy conversion from water flow into kinetic energy. Four different types of cutouts namely Ï‰, v, w and u were used. This study aims to find the best cutout geometry, which can convert the most water energy. The computation method is utilized to study in detail the flow of the fluid. In this study, there is two principal analysis performed, first is ANOVA blocking design for torque analysis, and the second is a qualitative analysis of the flow passing the cutout. The results indicate that the cutouts of the buckets have a significant influence on generated torque. The analysis revealed that u type cut-out buckets give the best performance among others type of buckets and are the easiest to manufacture.
Effect of Ultrasonic Electro-Chemical Polishing Parameters on Surface Roughness and Material Removal Rate of Medical Grade Cobalt Chromium Alloys
Authors: Nanda Is Prima , Jahare Muhammad Hafiz , Idris Mohd Hasbullah , Hassim Mohd Hazwan , Arafat Andril
Published: November 2018

The fabrication of prosthesis from superalloys in bio-medical field is a challenging task as a result of strict tolerance requirement in surface finish. Precision surface finish is desired to avoid biocompatibility issue resulting from poor surface finish. Such surface finish requirement can be achieved by using Electro-Chemical Polishing (ECP) process. This research investigated the effect of applying ultrasonic vibration on ECP with process parameters, namely current (0.5A-2.5A) and time (2min-10min) on the surface roughness (Ra) and material removal rate (MRR) of cobalt chromium molybdenum (CoCrMo). The experiments were conducted using ECP and ultrasonic assisted ECP (UECP) processes whereby phosphoric acid (H3PO4) and SS 304 steel were used as electrolyte and electrode respectively. The result showed an increasing trend of MRR and Ra as the time and current increased in both processes. It was also found that ultrasonic assisted ECP at current (2.5A) and time (30 min) recorded the highest MRR (0.047 g/min) and the lowest Ra (2.139 µm).
The Effect of Gamma Radiation on Plant Morphological Characteristics of Zingiber officinale Roscoe
Authors: Abdullah Shamsiah , Kamaruddin Nor Yusliza , Harun Abdul Rahim
Published: November 2018

Induced mutation through gamma irradiation can cause changes in chromosome and genome which bring to successful variation in morphology of plant.  The study was carried out to investigate the effect of gamma radiation on mutation frequency and plant morphology of Zingiber officinale Roscoe. The ginger rhizomes of Bentong and Tanjung Sepat cultivars were treated with gamma rays at six different dosages (5, 7, 9, 11, 13 and 15 Gray). The gamma ray was emitted from the Caesium-137 source at the rate of 4.31 Gy per minute at Malaysian Nuclear Agency irradiator facility. Different mutation frequencies and wide of mutation spectrum were observed in all treatments.  The spectrums of mutant characters observed were stunted growth, plant stature, leaf deformation and chlorophyll mutation. The results show that mutation frequency in both varieties was higher at 5 and 7 Gy when compared to other doses. Therefore, the results proved that different doses of mutagen caused different effects on plant.
Mangrove Ecosystem Management based on Mitigation for Natural Disaster in Coastal Community
Authors: Sambu Abdul Haris , Amruddin A
Published: November 2018

Mangrove trees plantation program is expected to restore a damaged environment. The purpose of this research was to: (1) identify the part of mangrove that serves as disaster mitigation (2) analyze the function of mangrove physical ecosystem in preventing a natural disaster, and (3) analyze economic value of mangrove ecosystem in overcoming natural disaster for the coastal community. The method used in this research are creating the transect the location of observation and analyzing the economic valuation. The results of this study are as follows: (1) roots, stems, branches and twigs that make form a unity as mitigation of coastal natural disaster and small island, (2) mangrove roots consists of various types and cross-shapes vertically and horizontally , other than that the roots, stems, branches, and twigs of mangrove vegetation strong and elastic so it is not easily broken or cut, and (3) the value of mangrove valuation from physical function to overcome natural disasters is about IDR. 6, 075, 892, 844. The suggestion in rehabilitation effort or recovery of mangrove ecosystem should be done semi-natural. Let human only spread the seeds of various types of mangrove on the expanse to be restored its ecosystem as well as let distance and line grow naturally. Rehabilitation result of mangrove ecosystem is expected to reach high diversity level and adaptive to the environment. In addition. let every mangrove seeds grow naturally ensuing the ecological condition.
Robust Features for Elbow Joint Angle Estimation Based on Electromyography
Authors: Triwiyanto - , Wahyunggoro Oyas , Nugroho Hanung Adi , Herianto -
Published: November 2018

A noisy environment is a major problem which has to be resolved to get a good performance in the estimation. A robust feature is important in order to obtain an accurate position of the elbow joint from the electromyography (EMG) signal. The objective of this research is to modify and assess the time domain features which robust against the white Gaussian noise. In this work, the EMG signal (from biceps) contaminated by artificial white Gaussian noise was extracted using twelve standard time domain features and one modified feature. The threshold of the modified feature (MYOPM) was calculated based on the root mean square (RMS) of the contaminated EMG signal. The linear Kalman filter was used to refine the EMG features and to improve the estimation. The robustness of the features was calculated using the root mean square error (RMSE). Based on the RMSE values, it shows that the proposed feature MYOPM is the most robust feature (the lowest median RMSE of 9º) for the signal to noise ratio (SNR) ranged between 17.96 and 60 dB, compared with the others’ features. The mean RMSE of the MYOPM feature improves by 27.91% from the prior feature (MYOP).
Predicting the Amount of Digestive Enzymes Medicine Usage with LSTM
Authors: Permanasari Adhistya Erna , Zaky Abi Mahan , Fauziati Silmi , Fitriana Ida
Published: November 2018

Medicines are widely used to prevent or cure illness. One of the medicines which often used to relieve stomach pain is a medicines that contains digestive enzymes. This type of medicines is much needed by hospitals and other health institutions. Hospitals and other health institutions should ensure the availability of medications for patients. This situation forces health institutions to deal with the uncertainty of medicine usage. Hospitals as one of the health institutions have some challenges. One of the challenges that must be faced is to ensure the availability of medicines for patients. The ability to predict can help ensure medicines availability in hospital. In this study will presents the forecasting model using Long Term Short Memory (LSTM) method to predict the need for medicines that contain digestive enzymes in the hospital. This method is chosen because it is known to have a high accuracy to predict stationary data. One of the methods used in input identification for the LSTM method is by using the Autocorrelation Function (ACF) and Partial Autocorrelation Function (PACF). The results of this study indicate that the use of LSTM method suitable for time series forecasting in historical dataset, with 12.733 Root Mean Square Error (RMSE) value.
Developing the Dimensions of a Social Content Management Framework
Authors: Wan Ahmad Wan Azlin Zurita , Mukhtar Muriati , Yahya Yazrina
Published: November 2018

The rise of social media has transformed the way of collaboration between organisations and customers. Social content resulting from the active collaboration between both parties on a social media platform should be managed accordingly. Thus, a social content management (SCM) framework should be developed as a guide to manage the social content. Such SCM framework should be able to augment existing frameworks, which mainly focuses on the value of social content for the organisations. Hence, based on the service science perspective, this article proposes a SCM framework that focusses on value to both organisations and its customers. In order to do this, the concept of  Service Dominant Logic and the DART model are adopted to explore and extract the elements and factors that collectively become the dimensions of the proposed SCM framework. Experts’ review of the elements and factors is conducted to ensure that the dimensions in the SCM framework are acceptable and have practical value. The proposed framework is then validated via an instrument whose content validity is investigated by using Lawshe’s Technique. This framework could assist the organisations in decision-making process towards innovating services and in the management of social content.
Rethinking teaching and teachers: Bringing content back into conversation
Authors: Deng Zongyi
Published: November 2018

The question of content – that is, knowledge in the curriculum – has all but disappeared from global policy and academic discourses concerning teaching and teachers. Invoking the work of Michael Young and his colleagues concerning 'bringing knowledge back in', Bildung-centred
Didaktik, and Joseph J. Schwab's curriculum thinking, this article attempts to bring content back into the conversation on teaching and teachers. The discussion yields an educational, curricular understanding of teaching and teachers by making three arguments. First, teaching (content)
is an 'intergenerational' task vital for social reproduction and innovation. Second, teaching, by way of a meaningful encounter between content and students, contributes to their self-formation and the development of human powers and dispositions. Third, teaching is a practical, interpretive
act that calls for curriculum thinking that is centred on the 'what' (content) and 'why' (purpose) of teaching.
Powerful knowledge and epistemic quality in school mathematics
Authors: Hudson Brian
Published: November 2018

This article contributes to current debates on progressive, knowledge-based approaches to the curriculum by addressing the question of what it is that students are entitled to learn in school mathematics. From the outset it recognizes progressive arguments that teaching should be reconnected
with the emancipatory ambitions of education. In doing so, it takes the notion of powerful knowledge as a starting point, based on what knowledge school students have the right to have access to. In turn, it considers this as a question of epistemic quality. This is elaborated
as a concept by drawing on outcomes from a recent study arising from the Developing Mathematical Thinking in the Primary Classroom (DMTPC) project. This concept is founded on the analysis of a distinction between mathematical fallibilism, based on a heuristic view of
mathematics as a human activity, and mathematical fundamentalism, which reflects an authoritarian view of the subject as being infallible, absolutist and irrefutable. The relation between powerful knowledge and epistemic quality is considered further by framing it within a sociological
theory of knowledge. This helps to highlight a further distinction between knowing that and knowing how, which is used to illustrate examples of high and low epistemic quality in school mathematics. The first example of high epistemic quality is drawn from the DMTPC project.
The second example is of low epistemic quality and comes from the highly promoted Core Knowledge Foundation that has recently been imported into English schools from the USA. Finally, the article considers the role of teachers as curriculum makers at the classroom level where curriculum
and pedagogy effectively merge. In conclusion, the implications for both policy and practice are considered, in particular proposals are made in relation to the role and place of subject didactics in teaching and teacher education.
Curriculum principles, didactic practice and social issues: Thinking through teachers' knowledge practices in collaborative work
Authors: Bladh Gabriel , Stolare Martin , Kristiansson Martin
Published: November 2018

Previous subject-specific education research has shown that education in social studies subjects is dominated by strong subject traditions, while current social issues are seldom addressed and the connection to academic disciplines is weak. Putting this result into context, we discuss
how the debate initiated by Michael Young about 'powerful knowledge' as a curriculum principle for the selection of school knowledge gives important theoretical insights. However, we argue that these insights can be developed further by linking them to continental Didaktik theory, in
particular to Wolfgang Klafki's models of 'categorical Bildung' and 'critical-constructive didactics' and Ingrid Carlgren's perspective on teaching as different knowledge practices. These ideas make clear the link between the selection of knowledge at curriculum level and the selection
and transformation of knowledge at classroom level. Based on this theoretical argument, we discuss how researchers and teachers can collaborate around the selection and transformation of knowledge in a school setting, thereby contributing to a knowledge reservoir for the teaching profession.
We conclude with a discussion of an ongoing case study taking place in an upper primary school in Sweden, which exemplifies our theoretical argumentation, showing how a 'time-geographical' perspective can inform teaching about migration as a phenomenon and current social issue.
Mathematics education in the spotlight: Its purpose and some implications
Authors: Golding Jennie
Published: November 2018

This article proposes a reframing of the purposes of mathematics education for the twenty-first century that combines apparently divergent philosophical approaches, arguing that the consequent empowerment should as a matter of individual equity be available to all young people (as well
as of benefit to wider society). It suggests that the global mathematics attainment 'spotlight', and the English policy context in particular, offer both opportunities and constraints for the development of such a high-quality mathematics education. The article also discusses the challenging
implications for the curriculum, and for the nature of teacher expertise, particularly subject-specific expertise, that is needed.