Miracle-dz/UniFAR-FTUs huggingface dataset:
Obesity and Hypertension: A Product of BMI and WHR is a Better Predictor of Hypertension

Obesity is a modifiable risk factor for hypertension. Waist-hip-ratio is favored over body mass index for assessing truncal obesity and cardiometabolic risk. Is a product of body mass index and waist-hipratio a better predictor of hypertension than waist-hip-ratio? The objective of this study was to determine the measure of obesity that best predicted hypertension. The study was a cross-sectional survey of 3013 participants across the 36 states of Nigeria and Abuja. The census sampling technique was used to collect the data. The data collecting instruments included measuring tape, stadiometer, weighing scale, and Amron blood pressure monitor. The data was analyzed using X test and correlation. The mean body mass index of the participants was 26.99 ± 4.89kg/m, waist circumference 79.13 ± 26.72m, hip circumference 87.24 ± 28.57cm, waist-hip-ratio 0.91 ± 0.07, systolic blood pressure 129 ± 18mmHg, and diastolic blood pressure 80 ± 12mmHg. Measures of obesity had statistically significant positive correlation with systolic and diastolic blood pressures. The best predictor of hypertension was a product of body mass index and waist-hip-ratio (r .228 and .200), followed by body mass index (r .191 and .180), then waist-hip-ratio (r .187 and .135), waist circumference (r .082 and .089), and lastly hip circumference (r .040 and .060). A product of body mass index and waist-hip-ratio should be used to assess obesity since it predicts hypertension better than either of the two alone. This study should also be extended to other risk factors of cardiovascular disease like diabetes and dyslipidemia. Keyword: Body Mass Index, Waist Hip Ratio, Waist Circumference, Hip Circumference, Hypertension.
Development and Implementation of the Algorithm for Automatic Analysis of Metrorhythmic Characteristics of Russian Poetic Texts (short paper)

This paper presents the implementation of the program module responsible for the analysis of the structural level – the definition of the poem's metrorhythmics (meter, number of feet, and rhyme) in Russian poetic texts. The algorithm for determination of meter and number of feet takes into account the problem of the ambiguity of the placement of emphasis in homographs, possible omissions of schematic emphasis (pyrrhic), overlay of over schematic emphasis (spondee), which are solved by method “by analogy”. The algorithm to identify the cases of shifting the emphasis from one part of speech to another (proclitic) is described. The algorithm of rhymes search is presented, the result of which is the definition of the stanzas of the poem.
Ownership structure and risk taking of Malaysian banking institutions: A comparative measurement applied in developed and emerging countries

This research aims to investigate the comparative measurement impact of the three ownership structures (government, institutional and family) on bank risk takings measured by Z-Score with capital adequacy ratio as the moderating element towards bank risk taking as measured by ZScore, along with the five control variables. There are two Z-Score measurement used in this study. The first Z-Score measurement is used to measure risk taking in developed countries, meanwhile the second ZScore is the formulation that is used and is based on the context that fits for Malaysia as one of the emerging markets. Data from eight Large Domestically-owned Commercial Banks in Malaysia for the period that ran from 2000 to 2012 is used in this research. Hierarchical moderated multiple regression results suggest that capital adequacy is significant as a moderating factor merely for the second measurement of bank risk. Besides, the interaction between family ownership and capital adequacy are also found to be significant only towards risk taking for the second measurement of the bank risk.
Assessing the Success Factors of Small Medium Food Entrepreneurship in Small Towns

The purpose of the case study is to assess the internal and external factors that would contribute in terms of internal and external success factors in Small and Medium food Enterprises. The internal and external factors model adopted in this study is based on a study approach by Tahir, M. H and Aman, O; (2011) and Talib, H.H. et al; (2013). The study findings concluded that the measurement of the success factors practiced by the enterprise, included both internal factors: namely leadership, corporate planning, process management, customer focus and quality assurance process while the external factors included government support system and market accessibility. The internal and external factors identified have contributed to ‘n’ the product quality and business performance. The findings indicate that the degree of increase or decrease in the organization’s quality performance was determined by the internal factors and supported by the external factors. Evidently, a strong and consistent internal factor influences the determinant performance factors of the small medium food entrepreneur.
NUMBER OF STEPS PER DAY AND PHYSICAL ACTIVITY LEVELS OF ADULTS IN GREECE

This study compared self reported physical activity (PA) (MET min/week) with pedometer determined PA (steps/day). Participants in this study were 300 adults, (25 56 years of age). PA was assessed with the IPAQ long form and the number of steps was assessed with the Yamax model SW-200. Participants wore the pedometer for 7 consecutive days. Data (categorical score) was analyzed using cross-tabs analysis. Two-way ANOVA (gender 2 x level of PA 3) was performed on the number of steps/day. Significant main effect was reported only for the factor level of PA with adults in the moderate and the high activity group performing more steps/day than adults in the low PA group. Adults in Greece performed less steps/day than the international recommendations PA suggest even though the majority of them were assigned by IPAQ long form at the moderate and very high PA groups.
Bayesian Population Projections with Model Uncertainty

Introduction The application of Bayesian methods for cohort component population projections is explored in this paper. The main motivation is the need to incorporate uncertainty into population estimates and projections. Since the 1990s, there has been an increasing need to move away from deterministic and variant-style projections to probabilistic projections. Probabilistic projections have the advantage over variant style projections in that they specify the chances or probability that a future population will be within a certain set of intervals (Ahlburg and Land 1992; Lee and Tuljapurkar 1994; Lutz 1996; Bongaarts and Bulatao 2000). We focus on identifying the consequences of choosing different specifications of age-specific fertility, mortality, immigration and emigration in a cohort projection model in terms of its forecasted median population sizes and associated measures of uncertainty. For illustration, we use a historical time series of data from the United Kingdom (UK), consisting of age-specific rates for single years of age going back in time to 1975 for all four demographic components of change. The rationale for considering a Bayesian approach is that it offers a more natural framework than traditional probabilistic methods to project future populations with uncertainty measures. First, variability in the data and uncertainties in the parameters and model choice can be explicitly included using probability distributions. Second, the approach allows the inclusion of expert judgements, including their uncertainty, into the model framework. Third, the predictive distributions follow directly from the probabilistic model applied. As a result, probabilistic population forecasts, with more reliable and coherent estimates of predictive distributions, can be obtained for a particular projection model. Demographic events, such as fertility, mortality and migration, tend to exhibit strong regularities in their age patterns. Modelling these age patterns over time permits a relatively concise representation of the history of demographic patterns. These time series can be utilised to allow past trends to be extended to project future patterns. Within the Bayesian paradigm, we investigate various ways age-specific fertility, mortality and migration can be specified and model averaged. Strategies for incorporating model-averaged forecasts of the demographic components into the cohort component projection model are also provided. Finally, the model-averaged projected populations, with associated measures of uncertainty, are presented and compared with other forecasts relying on single model specifications.
The relationship between nonsteroidal anti-inflammatory drug use and the risk of Alzheimer’s disease: an updated meta-analysis of cohort studies

Aim of the study: We aimed to evaluate the potential relevance between nonsteroidal anti-inflammatory drug (NSAIDs) use and the risk of Alzheimer’s disease (AD). Clinical rationale for the study: Previous studies and systematic reviews have suggested that the use of NSAIDs might be associated with a reduced incidence of AD. However, several studies do not corroborate these results. Materials and Methods: PubMed, Embase, and Cochrane library databases were searched up until May 8th, 2018. Adjusted relative risks (RRs) and 95% confidence intervals (CIs) were calculated and combined with random-effects models. Results: A total of 14 cohort studies with 81571 participants were included in the final meta-analysis. Overall, the results of this meta-analysis indicated that the use of all NSAIDs (RR = 0.88, 95% CI = 0.74-1.05) and aspirin (RR = 0.99, 95% CI = 0.82-1.20) or non-aspirin NSAIDs revealed no significant effect on AD risk. However, our study showed that aspirin might decrease the risk of dementia overall (RR = 1.22, 95% CI = 1.02-1.45); there was no significant risk of dementia observed in users of all NSAIDs (RR = 0.99, 95% CI = 0.83-1.18) or non-aspirin NSAIDs (RR = 0.97, 95% CI = 0.70-1.35). In the subgroup analyses, a significant association was observed between aspirin use and the risk of dementia during a short follow-up period (RR = 1.46, 95% CI = 1.16-1.84, P = 0.001). Conclusion: NSAIDs are not associated with the excess risk of AD incidence. But aspirin may reduce the risk of other types of dementia other than AD.
Hue Signature Auto Update System for Visual Similarity-Based Phishing Detection with Tolerance to Zero-Day Attack

Detecting phishing websites is imperative. Among several detection schemes, the promising ones are the visual similarity-based approaches. In those, targeted legitimate website’s visual features referred to as signatures are stored in SDB (Signature Database) by the system administrator. They can only detect phishing websites whose signatures are highly similar to SDB’s one. Thus, the system administrator has to register multiple signatures to detect various phishing websites and that cost is very high. This incurs the vulnerability of zero-day phishing attack. In order to address this issue, an auto signature update mechanism is needed. The naive way of auto updating SDB is expanding the scope of detection by adding detected phishing website’s signature to SDB. However, the previous approaches are not suitable for auto updating since their similarity can be highly different among targeted legitimate website and subspecies of phishing website targeting that legitimate website. Furthermore, the previous signatures can be easily manipulated by attackers. In order to overcome the problems mentioned above, in this paper, we propose a hue signature auto update system for visual similarity-based phishing detection with tolerance to zero-day attack. The phishing websites targeting certain legitimate website tend to use the targeted website’s theme color to deceive users. In other words, the users can easily distinguish phishing website if it has highly different hue information from targeted legitimate one (e.g. red colored Facebook is suspicious). Thus, the hue signature has a common feature among the targeted legitimate website and subspecies of phishing websites, and it is difficult for attackers to change it. Based on this notion, we argue that the hue signature fulfills the requirements about auto updating SDB and robustness for attackers’ manipulating. This commonness can effectively expand the scope of detection when auto updating is applied to the hue signature. By the computer simulation with a real dataset, we demonstrate that our system achieves high detection performance compared with the previous scheme. key words: phishing detection, visual similarity, zero-day attack
DynamiTE: Dynamic Trafﬁc Engineering in Software-Deﬁned Networks

—Control overhead is an important issue in software-deﬁned network (SDN). Speciﬁcally, PACKET-IN messages are generated and sent to SDN controller on receiving a new ﬂow at a switch. This leads to the worst situation when the ternary content-addressable memory (TCAM) available at the switch is fully utilized. In this paper, we propose a dynamic trafﬁc engineering scheme, DynamiTE, to minimize the control overhead at the SDN controller, while minimizing the number of PACKET-IN messages. We propose a greedy heuristic approach to determine the optimal number of switches required to have higher TCAM, termed as candidate switches , compared to the other switches in the network. On receiving a new ﬂow, a fully occupied switch directly forwards the ﬂow to a candidate switch without generating PACKET-IN, which, in turn, helps to minimize number of control messages in the network. Further, a packet-tagging method is applied to notify the SDN controller about the congestion occurred at the fully occupied switch. Simulation results show that the proposed approach is capable of reducing the number of PACKET-IN and congestion in the network by placing optimal number of candidate switches in the network. Particularly, the number of PACKET-IN is reduced by 10%, compared to the OpenFlow-based forwarding schemes (OFS), and the number of packets experiencing congestion in the network is reduced by 38%, compared to the randomized forwarding scheme (RFS).
SPOUSAL APPROVAL OF RECREATION AS AN INDICATOR OF MARRIAGE QUALITY AND STABILITY

The aim of the study was to determine if and to what extent equal point of view of spouses regarding recreation can be seen as a significant indicator of the quality and stability of marital relationship in our society. For this purpose 436 women, who live in marriage or non-marital cohabitation, aged 1964, were tested. The differences among the tested women who share the same attitude about recreation with their spouses and those who do not, were tested by discriminatory analysis regarding the following: different demographic variables, general satisfaction with the marriage and marital relationship, different aspects of the quality of the marital relationship, style of affectional bond, marital locus of control, differences in judgement of personal and spouses values, presence of stressful events, strategies for overcoming the stress, stability of the marriage and intention to seek professional psychological help. Statistically significant discriminatory factor (rc=0.54; p= 0.00) was obtained which is interpreted as harmonious in contrast to the conflict prone marital relationship. The main conclusion of the research is that the spousal approval of recreation represents a good indicator of general harmony in a marital relationship.
Adversarial Domain Adaptation Network for Semantic Role Classification

In this paper, we study domain adaptation of semantic role classification. Most systems utilize the supervised method for semantic role classification. But, these methods often suffer severe performance drops on out-of-domain test data. The reason for the performance drops is that there are giant feature differences between source and target domain. This paper proposes a framework called Adversarial Domain Adaption Network (ADAN) to relieve domain adaption of semantic role classification. The idea behind our method is that the proposed framework can derive domaininvariant features via adversarial learning and narrow down the gap between source and target feature space. To evaluate our method, we conduct experiments on English portion in the CoNLL 2009 shared task. Experimental results show that our method can largely reduce the performance drop on out-of-domain test data. key words: argument classification, domain adaption, adversarial domain adaptation, supervised learning
EXHIPS: Extending the Span of 6LowPAN Networks by Propagating Malicious Node Alert Message

In this paper, we propose a hybrid, Intrusion Prevention architecture for Internet of Things. This is an extension of our previous architecture Hierarchical Intrusion Prevention System (HIPS). In this both centralized and distributed methods are used to eradicate the Denial of Sleep attack in IoT when it is deployed in a widerrange. We evaluate the performance by simulatingthe network and comparing with other existing systems. Thesimulation results confirm that our systemis performing betterthan other systems in terms of extending the life time of IoT nodes.
Towards a Tatar Wordnet: a Methodology of Using Tatar Thesaurus (short paper)

For wordnet developing for a new language, the key problem is to find original resources that contain enough lexical data of the language in an appropriate format. This article discusses the structure, methodology of compilation and the current state of the bilingual Russian-Tatar Social-Political The-saurus, which can serve as an initial resource for building the Tatar Wordnet. This thesaurus reflects the logical-semantic organization of lexical elements (synonymous, generic, and some other relationships) at the conceptual and lexical levels. Mainly, we focus on building synsets for nouns (single nouns and noun phrases ).
“ Avoid Aircraft Accidents ” – EU FP 7 Collaborative Project Proposal with participation

This paper is initiated by ongoing collaborative project proposal for EU FP7 made by ten participants from six countries. By our concept and objectives: many aircraft accidents still occur that could have been easily avoided. Causes of critical accident are classified in four main groups by the safety boards: Weather, Equipment, Systems and Human. The Hungarian research group, created from members of MZ NDU, Institute of Aviation and Air Defense and Institute of Informatics and Communication is deeply interested in success of project. By this paper we would like to inform and the same time call the experts, enthusiastic peoples to support us with their ideas, suggestions and proposals.
FOCUS ON EUROPEAN ECONOMIC INTEGRATION

81 Although a large number of empirical studies have investigated the international transmission of the global financial crisis (GFC) (Claessens et al., 2010; Cetorelli and Goldberg, 2011; Chudik and Fratzscher, 2011; Haas and Lelyveld, 2014; Chen et al., 2016), the literature is still unable to provide conclusive results on the determinants of crisis severity in different transition countries (Berglöf et al., 2009; Berkmen et al., 2009; Blanchard et al., 2010; Lane and Milesi-Ferretti, 2011; Rose and Spiegel, 2009a, 2009b, 2011). This study aims to enhance knowledge in this area by providing analyses of the international transmission of shocks to European transition countries, employing the global vector autoregression (GVAR) approach developed by Pesaran et al. (2004). A distinguishing feature of the recent GFC was the speed and synchronicity with which it spread around the world. The European transition countries were severely affected by the GFC with an average GDP decline of around 7% in 2009, experiencing a more severe impact than any other region in the world, including the EU-15, where output decline averaged 5% in 2009. The impact of the crisis on economic activity varied extensively across countries. Slovenia, Croatia, Romania and the Baltic countries were more severely affected by the GFC, with 2009 output
Disturbance observer based control for gust alleviation of a small xed-wing UAS

This paper outlines a method of applying a linear disturbance observer to a small Unmanned Aerial System (UAS) to reduce the influence of unpredictable gusts on the non-linear aircraft dynamics. This work aims to show that by using a linear state-space model it is possible to estimate external disturbances and use the available control surfaces to alleviate the influence of gusts on aircraft dynamics accordingly. This paper focuses on the longitudinal channel of a small UAS to demonstrate the strategy. A baseline Linear Quadratic Regulator with Integral Action (LQI) is first developed; the disturbance observer based control strategy is then patched into this baseline controller to demonstrate the performance improvement. Simulations are conducted using the designed linear observer to alleviate various disturbance sources on a fully non-linear simulation of the UAS. This aims to demonstrate performance of an observer in a realistic situation where uncertainties between the linear observer and non-linear plant to be controlled are present.
The Role of Entrepreneur Education in Shaping Student’s Views on Self- Employment: A Study of University Students in Thailand

Thanaporn Sriyakula, *Kittisak Jermsittiparsertb,c, aFaculty of Business Administration, Mahanakorn University, Bangkok, Thailand, bDepartment for Management of Socila Scinces and Techonology Development, Ton Duc Thang University, Ho Chi Ming City, Vietnam, cFaculty of Social Sciences and Humanities, Ton Duc Thang University, Ho Chi Minh City, Vietnam, Corresponding Author E-mail: b,ckittisak.jermsittiparsert@tdtu.edu. vn aajbamut@gmail.com
New Zealand's Oceans Policy

In light of recent Oceans Policy developments this paper proposes a legal and institutional framework for the management of New Zealand's oceans. It focuses on one key existing problem: the lack of a comprehensive, coherent framework for the sustainable management of the marine environment. The proposed framework addresses this issue by suggesting an overarching statute, based on the approach taken by the Resource Management Act, under which several layers of policy refinement and implementation create national consistency coexisting with localised solutions based on the purpose of sustainability and broad guiding principles. The proposal is consistent with New Zealand's international obligations, other domestic legislation and existing institutional structures. The paper concludes with a statement on the importance to our future wellbeing of developing a comprehensive and enduring Oceans Policy.
Exploring the nexus between Job demands, self-efficacy, technological advancements and employee performance in Indonesian Public organizations

The objective of the current study is to explore the nexus between Job demands, self-efficacy, technological advancements and employee performance in Indonesian Public organizations. Meanwhile the mediating role of self-efficacy in the relationship between job demand and employee performance is also examined. Lastly, the moderating role of technological advancement in the relationship between selfefficacy and employee performance is observed. The study is of the view that Employees’ performance in public organizations is directly affected government’s efficiency and delivery of work. People are looking forward to a high-quality service offered by public employees or a negative image be imposed on the whole service. The underperformers can also cause detriment to the country where the government keeps paying them a salary while their performance is not up to their organizations’ requirements. The study has employed the survey-based methodology. The response rate is 57 percent. The study has employed the PLS-SEM to achieve the objectives. This study will be helpful for policymakers and researchers in examining the link between Job demands, self-efficacy, technological advancements and employee performance in Indonesian Public organizations.