bluuebunny/crossref_metadata_2025_split huggingface dataset:
Hubungan panjang berat dan faktor kondisi ikan kerapu Famili Serranidae yang tertangkap di Perairan Pulo Aceh Kabupaten Aceh Besar, Provinsi Aceh
Authors: Ramadhani Afriana , Muchlisin Zainal A. , Sarong Muhammad A. , Batubara Agung S. 
Published: September 2017

The objective of the research was to evaluate the length-weight relationships and condition factors of five dominant species of groupers harvested from Pulo Aceh waters, Aceh Besar District, Aceh Province, Indonesia. The target species are Plectropomus leopardus, P. laevis, P. maculatus, Epinephelus fuscoguttatus and E. bleekeri. The samples were collected from fish landing in Ulee Lheue and Ujung Pancu from April to July 2016. A total of 40 samples of each species were measured for total length (mm) and weighed for body weight (g). The data were calculated for length weight relationship using an Allometrict Linear Model (LAM). The results showed that Plectropomus leopardus, P. laevis, Epinephelus fuscoguttatus and E. bleekeri have the b values lower than 3 indicate a negative allometric growth pattern, while P. maculatus has the b value higher than 3 indicate a positive allometric growth pattern. The highest condition factor was found in P. leopardus and P. laevis and the lower condition factor was recorded in E. fuscoguttatus. However, in general the relative weight condition factor was above 100, indicating a balance of prey and predators densities.Telah dilakukan penelitian tentang hubungan panjang berat dan faktor kondisi lima spesies ikan kerapu Famili Serranidae yang dominan tertangkap di Perairan Pulo Aceh, Kabupaten Aceh Besar. Penelitian ini bertujuan untuk menganalisis pola pertumbuhan dan faktor kondisi lima spesies ikan dari Famili Serranidae dari perairan Pulo Aceh, yaitu; Plectropomus leopardus, P. laevis, P. maculatus, Epinephelus fuscoguttatus dan E. bleekeri. Sampel ikan adalah hasil tangkapan nelayan yang didaratkan di Ulee Lheue dan Ujung Pancu, sampling dilakukan pada April sampai Juli 2016. Hasil pengukuran panjang dan berat terhadap 40 ekor ikan pada masing-masing spesies dianalisis dengan Linear Allometrict Model (LAM). Hasil penelitian menunjukkan bahwa Plectropomus leopardus, P. laevis, Epinephelus fuscoguttatus dan E. bleekeri memiliki pola pertumbuhan allometrik negatif dan P. maculatus memiliki pola pertumbuhan allometrik positif. Faktor kondisi tertinggi pada ikan P. leopardus dan P. laevis dan terendah pada ikan E. fuscoguttatus. Faktor kondisi berat relatif secara umum berada diatas 100, menunjukkan adanya keseimbangan kepadatan prey dan predator.
‘Hustler lives’ and digital dilemmas in Kenya: Young men negotiating work opportunities, life aspirations and mobile phone use
Authors: Tufte Thomas 
Published: September 2017

Abstract
This article explores the livelihoods and media uses of young men in rural, urban and peri-urban Kenya, enquiring into how these young men use digital technologies, mobile phones in particular, in the context of constantly and quite rapidly changing livelihoods. It is a media ethnographic case study offering a gendered perspective upon the lives of male youth in Kenya. Kenya is a country branded as being digitally innovative, disruptive, entrepreneurial and developing new opportunities for Kenyan economic development and for the citizens of Kenya (ICT Authority 2014). By unpacking the socio-economic organization of everyday life and the quotidian use of mobile phones amongst mainly low-income young men in Uasin Gishu County in Rift Valley, this study enquires into the strategies applied by these young men in pursuing their aspirations for a better life. How do they navigate in the context of a rapidly and profoundly changing society informed by policies and discourses of digital innovation? It is a context where mobile phones by government are considered spearheads of digital innovation, disruption and entrepreneurship, but where the everyday usage reveals deeper complexities and contradictions. From reviewing the experiences of 36 young men I have identified work-oriented profiles of three young men. Their profiles, albeit unique, resonate with many of the persistent features of all 36, in how they negotiate work opportunities and media uses in their aspirations for a good life. The three profiles I have identified are (1) the digital entrepreneur; (2) the urban casual worker; and (3) the university student and opinion leader.
The structure of news in Community Audio Towers
Authors: Semujju Brian 
Published: September 2017

Abstract
This article draws attention to the current sensational modernist conceptualization of news as conflict and prominence to argue that news among the poor be understood as activities happening in a village. Findings obtained through observation at two Community Audio Towers (CATs), plus ten key informant interviews with Uganda’s CAT stakeholders at community and national levels, suggest that the global media logic, supported by massive media structures that dictate what news is, finds no relevance in critical local news methodologies. Using the Critical theory, this article concludes that the counter-ideological events redefine the concept of news from conflict and prominence obtained through professional newsmaking cultures to whatever information the village members take to the towers.
Stress e desempenho acadêmico na pós-graduação stricto sensu em ciências contábeis no Brasil
Authors: Rezende Marise Santana de , Miranda Gilberto José , Pereira Janser Moura , Cornacchione Júnior Edgard Bruno 
Published: September 2017

O ingresso na pós-graduação é visto como uma transição importante na vida de um discente, visto que esse período pode ser entendido como um processo que envolve uma série de mudanças, pressões e cobranças que passam a exigir do indivíduo que ele se adapte ao contexto acadêmico. A partir dessa percepção, esta pesquisa teve como objetivo geral identificar e analisar a relação entre stress e desempenho acadêmico percebido pelos discentes de pós-graduação stricto sensu em Ciências Contábeis no Brasil. Para a realização desta pesquisa, foi investigada uma amostra de 309 alunos (24,08% da população) que cursavam pós-graduação em Ciências Contábeis. Por meio da Análise de Regressão Múltipla em duas etapas, pode-se constatar que a linha de pesquisa, a condição de bolsista e a idade do programa, além de preocupações e dificuldades inerentes ao processo, influenciam significativamente o nível de stress do discente. Também foi constatado que o desempenho acadêmico anterior do aluno e o nível de stress são significativos na explicação do desempenho atual. Esses resultados evidenciam a importância de se monitorarem os estressores acima identificados, notadamente, a partir de políticas de avaliação da pós-graduação no Brasil.
Rational bubbles in a monetary economy
Authors: Zhou Ge 
Published: September 2017

Abstract
This study explores rational bubbles in a monetary economy using an endogenous growth model with status seeking. Rational bubbles may arise when the money growth rate is higher than some threshold level. In a bubbly economy, a higher money growth rate leads to a larger bubble size, while the monetary policy is super-neutral. However, in a bubbleless economy, the monetary policy is non-neutral. Based on a comparative analysis of the calibrated model, I argue that an optimal monetary policy that maximizes the social welfare of a bubbleless economy may trigger bubbles and hurt the economy.
Spectral Approximation of Fractional PDEs in Image Processing and Phase Field Modeling
Authors: Antil Harbir , Bartels Sören 
Published: September 2017

Abstract
Fractional differential operators provide an attractive mathematical tool
to model effects with limited regularity properties. Particular examples
are image processing and phase field models in which jumps across lower
dimensional subsets and sharp transitions across interfaces are of
interest. The numerical solution of corresponding model problems via
a spectral method is analyzed. Its efficiency
and features of the model problems are illustrated by numerical experiments.
Improving diagnosis in health care: perspectives from the American College of Radiology
Authors: Allen Bibb , Chatfield Mythreyi , Burleson Judy , Thorwarth William T. 
Published: September 2017

Abstract
In September of 2014, the American College of Radiology joined a number of other organizations in sponsoring the 2015 National Academy of Medicine report, Improving Diagnosis In Health Care. Our presentation to the Academy emphasized that although diagnostic errors in imaging are commonly considered to result only from failures in disease detection or misinterpretation of a perceived abnormality, most errors in diagnosis result from failures in information gathering, aggregation, dissemination and ultimately integration of that information into our patients’ clinical problems. Diagnostic errors can occur at any point on the continuum of imaging care from when imaging is first considered until results and recommendations are fully understood by our referring physicians and patients. We used the concept of the Imaging Value Chain and the ACR’s Imaging 3.0 initiative to illustrate how better information gathering and integration at each step in imaging care can mitigate many of the causes of diagnostic errors. Radiologists are in a unique position to be the aggregators, brokers and disseminators of information critical to making an informed diagnosis, and if radiologists were empowered to use our expertise and informatics tools to manage the entire imaging chain, diagnostic errors would be reduced and patient outcomes improved. Heath care teams should take advantage of radiologists’ ability to fully manage information related to medical imaging, and simultaneously, radiologists must be ready to meet these new challenges as health care evolves. The radiology community stands ready work with all stakeholders to design and implement solutions that minimize diagnostic errors.
Back pain in pregnancy among office workers: risk factors and its impact on quality of life
Authors: Ng Beng Kwang , Kipli Mardiana , Abdul Karim Abdul Kadir , Shohaimi Suhaila , Abdul Ghani Nur Azurah , Lim Pei Shan 
Published: September 2017

Abstract

Background
Back pain is a common presenting complaint during pregnancy and it is often being considered as part of the pregnancy process. The purpose of the study is to investigate the prevalence of back pain in pregnancy, risk factors and its impact on the quality of life in pregnant women.

Materials and methods
Three hundred and fifty-eight pregnant women who attended the antenatal clinic in Universiti Kebangsaan Malaysia (UKM) Medical Centre were recruited in this cross-sectional study from October 2011 until April 2012. The back pain was further classified into lumbar pain and posterior pelvic pain. The severity of back pain was assessed using visual analoque scale (VAS) and the functional limitation was assessed using the Oswestry Disability Questionnaire (ODQ).

Result
The prevalence of back pain in pregnancy was 84.6%. Occupation and previous history of back pain were associated with back pain in pregnancy. In terms of functional limitation disability, total ODQ score was statistically significant correlate with severity of pain (VAS score). Personal care, sitting, standing, sex life and social life were significantly affected.

Conclusion
The risk factors for back pain in pregnancy were type of occupation and history of back pain. The higher VAS score, the more ODQ will be affected. Personal care, sitting, standing, sex life and social life were significantly affected.
The effects of high and low doses of folic acid on oxidation of protein levels during pregnancy: a randomized double-blind clinical trial
Authors: Shiralizadeh Javad , Barmaki Haleh , Haiaty Sanya , Faridvand Yousef , Mostafazadeh Mostafa , Mokarizadeh Narmin , Kamrani Amir , Isazadeh Alireza , Maroufi Nazila Fathi 
Published: September 2017

Abstract

Objective
Oxidants include important active molecules which are created in the body and attack biological molecules especially lipids, carbohydrates, nucleic acids and proteins, and cause oxidation and various diseases in the body. Antioxidants existing in the body help to avoid the incidence of these injuries. Pregnant women are among those where oxidation of biological molecules may do irreparable damage to them and their embryos. So, the purpose of this study was to review the effect of folic acid with both high (5 mg/day) and low (0.5 mg/day) doses on the changes of oxidative protein in reducing plasma homocystein concentration during pregnancy.

Materials and methods
Forty-five pregnant women participated in this study. They were divided into two groups: group 1 included 23 women who received 5 mg/day folic acid and group 2 included 23 women who took 0.5 mg/day folic acid before pregnancy till the 36th week pregnancy. We measured the biochemical variables in the serum of pregnant women at the beginning and at the end of the study.

Results
Folic acid reduced plasma homocytein in both low and high dose groups (p = 0.035, p = 0.012, respectively). Also, the results showed that folic acid prescription led to reduce plasma level of carbonyl groups in both low and high dose groups (p = 0.01, p = 0.03, respectively). Furthermore, the results showed that there is no significant difference between two groups and folic acid affects both groups equally.

Conclusion
It is possible that folic acid administration can reduce plasma homocysteine and carbonyl levels during pregnancy in dose independent manner
Spatial Dynamics, Vocational Education and Chinese Economic Growth
Authors: Gu Jiafeng 
Published: September 2017

AbstractFew would deny the contribution of vocational education on economic growth and social development, but the spatial dynamics behind the economic role of vocational education in transition economies has not been examined by the literature on economics of education. Specifically, two hypotheses are tested. First, the economic growth and vocational education development have significant global spatial autocorrelation, which means the development of economy and vocational education of one province depends on the economic or education level of neighboring provinces. Second, the economic growth and vocational education development have significant local spatial autocorrelation. With per capital GDP and vocational education scale data of 31 provinces in China from 1995 to 2008, both hypotheses are supported. Finally, the results show that the elasticity with spatial metrics is 1.522, which means the stronger economic role of vocational education because the elasticity is larger than 1, while the elasticity without spatial dynamics is only 0.926 which implies the weak economic role of vocational education. It also shows that the OLS model is confronted with the risk of spurious regression without considering spatial dynamics and the spatial error model is preferred because it’s robust.
The Differential Algorithm for American Put Option with Transaction Costs under CEV Model
Authors: Yin Zhao , Tan Chang 
Published: September 2017

AbstractThis paper mainly studies the American put option pricing with transaction costs in the CEV process. The specific Crank-Nicolson form of numerical solution is obtained by the finite difference method. On this basis, Hong Kong stock CKH option is selected as the object to estimate option price. Finally, by comparing with the actual price, the American put option pricing model is verified as reasonable. This paper is significant to the rational pricing and the institutional construction of the upcoming stock options in mainland China.
Nonlinear Dynamics of International Gold Prices: Conditional Heteroskedasticity or Chaos?
Authors: Huang Xiaowei , Yu Mei , Ban Chengwei 
Published: September 2017

AbstractTaking the special nonlinear characteristics of the domestic and international gold price into account, this paper systematically analyzed its nonlinearity by the methods of BDS test, R/S analysis and improved largest Lyapunov exponent. We find three main results: (1) ARMA-GARCH model could adequately explain the linear and nonlinear dependence of gold price series; (2) long-memory does not exist anymore in price series explained by ARMA-GARCH model; (3) chaos phenomenon which is sensitive to the initial value does not exist either in the residuals of regression model. Therefore, we believe that the nonlinearity of gold price is mainly characterized in conditional heteroscedasticity rather than chaos.
Design and Pricing of Chinese Contingent Convertible Bonds
Authors: Li Ping , Liu Jie 
Published: September 2017

AbstractThe financial crisis since 2007 has highlighted the fragility of the banking system. To address this deficiency, the Basel committee has agreed upon Basel III which consists of reinforcing banks’ capital through new regulatory requirements. Raising additional funds by issuing common equity would lead to a significant cost for banks. Facing the problem, regulators came up with the concept of contingent capital. Contingent convertible (Coco) bonds have been the topic as both a solution to the “too big to fail” problem and a measure by which financial institutions can save themselves. In this paper we first give the introduction of Coco bonds, then present the design of Chinese Coco bonds and pricing Coco bonds through an equity derivative approach as well as sensitivity analysis based on B-S-M hypothesis. Considering that the stock return follows fat-tail distribution, this paper uses Heston stochastic volatility model to price Coco bonds. Finally we give some proposals for developing Coco bonds market in China.
A Robust Factor Analysis Model for Dichotomous Data
Authors: Yang Yixin , Lü Xin , Ma Jian , Qiao Han 
Published: September 2017

AbstractFactor analysis is widely used in psychology, sociology and economics, as an analytically tractable method of reducing the dimensionality of the data in multivariate statistical analysis. The classical factor analysis model in which the unobserved factor scores and errors are assumed to follow the normal distributions is often criticized because of its lack of robustness. This paper introduces a new robust factor analysis model for dichotomous data by using robust distributions such as multivariatet-distribution. After comparing the fitting results of the normal factor analysis model and the robust factor analysis model for dichotomous data, it can been seen that the robust factor analysis model can get more accurate analysis results in some cases, which indicates this model expands the application range and practical value of the factor analysis model.
Non-linear Integer Programming Model and Algorithms for Connected p-facility Location Problem
Authors: Zhu Jianming 
Published: September 2017

AbstractIn this paper, a new location analysis method is presented. Given a connected graphG= (V, E)with nonnegative edge costcefor each edgee∊E,dijis the cost of the shortest path between verticesiandjin the graph. TheConnected p-facility Location Problem(CpLP) is to choosepvertices fromVso as to minimize the total cost of shortest path of pair-wise of thesepvertices. This problem is proved to be NP-hard and non-linear integer programming is formulated. Then, two algorithms are designed for solving the CpLP. One is a heuristic algorithm based on classical maximum clique approach, while the second one is genetic algorithm. Finally, computational results show the comparison between these two algorithms.
Uncertain Comprehensive Evaluation Method Based on Expected Value
Authors: Yang Fangfang , Fu Youhua 
Published: September 2017

AbstractThe author presents a new comprehensive evaluation method based on uncertainty theory in this paper. According to this kind of method, the evaluation quality of each evaluated index given by every expert is regarded as an uncertain variable. Then a comparison rule of uncertain comprehensive evaluation is proposed by means of expected value of uncertain variable. Some properties about the comparison rule are discussed. At last, an example about the comparison of urban environment quality is given to illustrate the uncertain comprehensive evaluation method.
MSVM Recognition Model for Dynamic Process Abnormal Pattern Based on Multi-Kernel Functions
Authors: Liu Yumin , Zhou Haofei 
Published: September 2017

AbstractRecognition of quality abnormal patterns for a dynamic process has seen increasing demands nowadays in the real-time process fault detection and diagnosis. As the dynamic data from a quality abnormal process is linearly inseparable, the recognition efficiency of a support vector machine (SVM) model mainly depends on the selection of the kernel functions and the optimizing of their parameters. Based on the analysis of the quality abnormal patterns in a dynamic process, this paper presents a recognition framework of quality abnormal patterns by using a multi-SVM (MSVM). For the different quality abnormal patterns, the simulation results indicate that the recognition accuracies of the MSVM classifiers with the selected kernel functions are quite different. A MSVM recognition model for quality abnormal patterns in a dynamic process is proposed by the kernel functions being of high accuracies. It is shown that this MSVM model with suitable kernel functions can increase the recognition accuracy.
Towards equivalence links between senses in plWordNet and Princeton WordNet
Authors: Rudnicka Ewa , Bond Francis , Grabowski Łukasz , Piasecki Maciej , Piotrowski Tadeusz 
Published: September 2017

AbstractThe paper focuses on the issue of creating equivalence links in the domain of bilingual computational lexicography. The existing interlingual links between plWordNet and Princeton WordNet synsets (sets of synonymous lexical units – lemma and sense pairs) are re-analysed from the perspective of equivalence types as defined in traditional lexicography and translation. Special attention is paid to cognitive and translational equivalents. A proposal of mapping lexical units is presented. Three types of links are defined: super-strong equivalence, strong equivalence and weak implied equivalence. The strong equivalences have a common set of formal, semantic and usage features, with some of their values slightly loosened for strong equivalence. These will be introduced manually by trained lexicographers. The sense-mapping will partly draw on the results of the existing synset mapping. The lexicographers will analyse lists of pairs of synsets linked by interlingual relations such as synonymy, partial synonymy, hyponymy and hypernymy. They will also consult bilingual dictionaries and check translation probabilities in a parallel corpus. The results of the proposed mapping have great application potential in the area of natural language processing, translation and language learning.
Stance and intersubjective positioning across scientific discourse genres: Negative and modal epistemic discourse strategies
Authors: Hidalgo-Downing Laura 
Published: September 2017

AbstractThe present article explores stance and stancetaking in two genres of scientific discourse, by analysing the discourse-pragmatic functions of epistemic modals and negation. The semantics and pragmatics of modals in specialised discourses has been the focus of attention in recent years (