Miracle-dz/UniFAR-FTUs huggingface dataset:
Relationship between anthropometric and biochemical profiles in children and adolescents with type 1 diabetes

Objective: To evaluate the relationship between anthropometric and biochemical variables in children and adolescents with type 1 diabetes mellitus (DM1). Methods: This was a cross-sectional study of 11 children and 43 adolescents with DM1. The following data were collected: socioeconomic and demographic (age, sex, education, income), clinical (insulin therapy), anthropometric (weight, height, skinfolds, waist circumference – WC) and biochemical variables (glycated hemoglobin – HbA, casual blood glucose – CBG, post-prandial blood glucose – PPBG, and lipid profile). Statistical analysis included Student’s t test (p<0.05) and Pearson’s correlation (p<0.05). Results: The average income per capita was 0.58±0.39 times the monthly minimum wage and 72.2% of the sample were on insulin therapy consisting of three doses per day. Most individuals had adequate height (92.6%) and BMI (87.0%) for their ages. Subjects with an adequate HbA index (inHbA) had lower CBG (p=0.002) and PPBG (p<0.001). There were positive correlations between inHbA and WC (p=0.013), CBG (p=0.014), PPBG (p<0.001), triglycerides and VLDL-cholesterol (p<0.001). Conclusions: Poorer glycemic control is related to higher serum lipids levels and larger WC.
Numerical Simulation Analysis of a Mathematical Model of Circadian Pacemaker Neurons

Sim and Forger have proposed a mathematical model of circadian pacemaker neurons in the suprachiasmatic nucleus (SCN). This model, which has been formulated on the Hodgkin-Huxley mo-del, is described by a system of nonlinear ordinary differential equations. An important feature of the SCN neurons observed in electrophysiological recording is spontaneous repetitive spiking, which is reproduced using this model. In the present study, numerical simulation analysis of this model was performed to evaluate variations in two system parameters of this model: the maximal conductance of calcium current (gCa) and the maximal conductance of sodium current (gNa). Simulation results revealed the spontaneous repetitive spiking states of the model in the (gCa, gNa)-pa-rameter space.
Evaluating Community Archaeology in the UK

Abstract Does community archaeology work? In the UK over the last decade, there has been a boom in projects utilising the popular phrase 'community archaeology'. These projects can take many different forms and have ranged from the public face of research and developer-funded programmes to projects run by museums, archaeological units, universities, and archaeological societies. Community archaeology also encapsulates those projects run by communities themselves or in dialogue between 'professional' and 'amateur' groups and individuals. Many of these projects are driven by a desire for archaeology to meet a range of perceived educational and social values in bringing about knowledge and awareness of the past in the present. These are often claimed as successful outputs of community projects. This paper argues that appropriate criteria and methodologies for evaluating the efficacy of these projects have yet to be designed. What is community archaeology for? Who is it for? And is it effectively meeting its targets? Focusing on the authors' experiences of directing community archaeology projects, together with the ongoing research assessing the efficacy of community archaeology projects in the UK, this paper aims to set out two possible methodologies: one of self-reflexivity, and one of ethnoarchaeological analysis for evaluating what community archaeology actually does for communities themselves.
G T ] 8 A ug 2 01 8 Equilibrium Computation in Resource Allocation Games

We study the equilibrium computation problem for two classical resource allocation games: atomic splittable congestion games and multimarket Cournot oligopolies. For atomic splittable congestion games with singleton strategies and player-specific affine cost functions, we devise the first polynomial time algorithm computing a pure Nash equilibrium. Our algorithm is combinatorial and computes the exact equilibrium assuming rational input. The idea is to compute an equilibrium for an associated integrally-splittable singleton congestion game in which the players can only split their demands in integral multiples of a common packet size. While integral games have been considered in the literature before, no polynomial time algorithm computing an equilibrium was known. Also for this class, we devise the first polynomial time algorithm and use it as a building block for our main algorithm. We then develop a polynomial time computable transformation mapping a multimarket Cournot competition game with firm-specific affine price functions and quadratic costs to an associated atomic splittable congestion game as described above. The transformation preserves equilibria in either games and, thus, leads – via our first algorithm – to a polynomial time algorithm computing Cournot equilibria. Finally, our analysis for integrally-splittable games implies new bounds on the difference between real and integral Cournot equilibria. The bounds can be seen as a generalization of the recent bounds for single market oligopolies obtained by Todd [43]. ∗This work is part of the research programme Optimal Coordination Mechanisms for Distributed Resource Allocation with project number 617.001. 302, which is (partly) financed by the Netherlands Organisation for Scientific Research (NWO). An extended abstract of parts of this paper appeared in the Proceedings of the 19th International IPCO Conference on Integer Programming and Combinatorial Optimization under the title “Equilibrium Computation in Atomic Splittable Singleton Congestion Games”.
Sleep, dietary patterns and metabolic health in UK adults

The causes of the ongoing metabolic disease pandemic are complex. Changes in human population genetics proceed slowly, so the recent increase in metabolic disease prevalence likely reflects environmental and behavioural changes. Our circadian (~ 24-hour) systems optimise our biology according to time of day. Artificial stimuli like electric lighting and around-the-clock food access enable waking behaviours, such as eating, at times at which our circadian systems prime us to sleep. Such mistimed behaviours may contribute to metabolic disease, as exemplified by increased risk of diabetes in shift workers. However, few researchers have concurrently explored associations between sleep, diet composition and timing, and metabolic health. Furthermore, many dietary analysis methods used have not been validated, precluding accurate inferences about diet-disease relationships. And few studies have assessed the metabolic effects of interventions to resynchronise the circadian system each day. I first helped validate myfood24, an online dietary recall tool, by completing all of the lab work for dietary protein and sugar biomarkers. myfood24 has comparable validity to the gold-standard recall method. Subsequent analysis of the myfood24 data showed that consuming calories later relative to sleep is associated with overweight and obesity. Next, analysis of a public database indicated that longer sleepers had lower body mass indices, smaller waists, and favourable blood lipid profiles. Finally, we assessed whether long-term supplementation of melatonin (a hormone that synchronises the circadian system) influences metabolic health, sleep, and diet in adults predisposed to diabetes. Contrary to our hypotheses, melatonin had few effects. This project helped validate myfood24, a tool that could unveil diet-disease relationships in future studies. These studies might have key public health implications. Our findings also strengthen the notions that mistimed eating and insufficient sleep contribute to obesity. Finally, this project shows that melatonin may not substantially influence metabolic health in relatively healthy adults.
Accelerated Stochastic ADMM with Variance Reduction

Alternating Direction Method of Multipliers (ADMM) is a popular method for solving large-scale Machine Learning problems. Stochastic ADMM was proposed to reduce the per iteration computational complexity, which is more suitable for big data problems. Recently, variance reduction techniques have been integrated with stochastic ADMM in order to get a faster convergence rate, such as SAG-ADMM and SVRG-ADMM. However, their convergence rate is still suboptimal w.r. t the smoothness constant. In this paper, we propose an accelerated stochastic ADMM algorithm with variance reduction, which enjoys a faster convergence than all the existing stochastic ADMM algorithms. We theoretically analyse its convergence rate and show its dependence on the smoothness constant is optimal. We also empirically validate its effectiveness and show its priority over other stochastic ADMM algorithms.
The Impact of Timing of the Release of Firm-Specific Announcements on Trade Initiation

This paper investigates trade initiation activities ‘immediately’ before and after earnings and takeover ‘day’ announcements. We find that investors’ initiate buy and sell (buy or sell) trades immediately before (after) earnings and takeover day announcements. High volatility and more prominent effective spread before ‘overnight’ announcements indicate active informed trading, showing evidence of information leakage. Similarly, high volatility and less prominent effective spread before day announcements exhibit more active uninformed trading. Overall, private information (Differential information) is the likely motive for trade initiation before overnight announcements (day announcements). We suggest that day announcements are more effective than overnight announcements in controlling information leakage. Our results complement prior literature on effectiveness of continuous disclosure on the ASX.
The Predictive Power of Financial Variables: New Evidence from Australia

Many studies have attempted to examine the predictive power of financial variables for numerous countries, but rarely does such research focus on future economic activities with respect to Australia. Financial variables are used to predict future economic events primarily because these variables are the closest indicators of the expectations and activities of investors and other economic agents. The recent global financial crisis (GFC) stemming from the subprime crisis shows that financial markets significantly influence global macroeconomic activities. In this study, we use major financial variables, such as the 90-day Treasury bill rate, 10-year Treasury bond rate, interest rate spread, and Australian stock index data. Similar to the housing prices in some other countries, those in Australia play a key role in future economic activities. In addition to financial variables, housing stock data is incorporated into our model for more realistic results, which are obtained by probit maximum likelihood estimation. We also use a general model for forecasting Australia’s GDP growth until the third quarter of 2012. The results support previous research findings, indicating that financial variables are a useful tool for forecasting future economic activities in Australia.
Goal Orientation Profiles and Self-Concept of Secondary School Students

The objective of this study is to identify possible combinations of multiple goals that lead to different goal orientation profiles and to determine whether there are significant group differences in self-concept dimensions. The Achievement Goals Tendencies Questionnaire (AGTQ) and the Self-Description Questionnaire-II (SDQ-II) were administered to a sample of 2,022 students of Compulsory Secondary education, ranging in age from 12 to 16 years (M = 13.81, SD = 1.35). Cluster analysis identified four profiles of motivational goals: a group of students with a generalized high motivation profile, a group of students with generalized low motivation profile, a group of students with a predominance of learning goals and achievement goals, and a last group of students with a predominance of achievement goals and social reinforcement goals. Results reveal statistically significant differences among the profiles obtained regarding self-concept dimensions.
Strong cosmic censorship in charged black-hole spacetimes: Still subtle

It was recently shown that strong cosmic censorship may be violated in highly charged black-hole spacetimes living in a universe with a positive cosmological constant. Several follow-up works have since suggested that such a result, while conceptually interesting, cannot be upheld in practice. We focus here on the claim that the presence of charged massive scalars suffices to save strong cosmic censorship. To the contrary, we show that there still exists a finite region in parameter space where strong cosmic censorship is expected to be violated.
Stressful life events, depression, and the effects of perceived social support

Kristen Schiers STRESSFUL LIFE EVENTS, DEPRESSION, AND THE EFFECTS OF PERCEIVED SOCIAL SUPPORT 2007/08 Dr. Roberta Dihoff Master of Arts in School Psychology The purpose of this research study was to explore the relationship between stressful life events, depression and the effects of perceived social support. The researcher expected to find a positive correlation with higher stressful life events ratings predicting greater depressive mood. Also, the researcher hypothesized that people who have more hours of contact with social support systems would experience less depressive mood. Finally, it was expected that a significant interaction effect would be found such that the more contact with social support systems would weaken the effect of stress on depressive mood. The sample consisted of forty-five undergraduate students from a midsize university. The results of the comparative analysis revealed a significant correlation between social support and life events, as well as a significant correlation between social support and depression. The results of the linear regression were not statistically significant. A significant interaction effect was not found between stressful life events, depression, and perceived social support. Limitations of the study and future implications for similar studies are discussed.
Body image , eating attitudes , depressive symptoms , self-esteem and anxiety in pregnant women of Juiz de Fora , Minas Gerais , Brazil

The experiences of change that pregnant women live through can have a negative effect on their bodily attitudes and the associated variables. This study aimed to establish the influence on pregnant women’s body image of their eating attitudes, depressive symptoms, self-esteem, anxiety and body mass index. This is a quantitative, cross-sectional study, of 386 pregnant women of a range of child-bearing age – from 18 to 46 (mean 29.32 ± 6.04) – of the city of Juiz de Fora, in the state of Minas Gerais, Brazil. Instruments were applied to evaluate body attitudes, food attitudes, depressive symptoms, self-esteem and anxiety. Anthropometric and obstetric data were collected. Descriptive, comparative and correlational statistical analyses were made. The findings indicated significant correlations between body attitudes and: inadequate eating attitudes (r = 0.478), depressive symptoms (r = 0.387), low self-esteem (r = 0.431) and high BMI (r = 0.339). In addition, these variables together exerted an influence measured as 41.4% on the negative body image of the pregnant women. Thus, it is recommended that pregnant women should be assessed nutritionally and psychologically and given orientation in these aspects, in order to detect and prevent psychopathology, with a view to optimal maternal and child health.
Red Queen Takes White Knight: The Commercialisation of Accounting Education in Australia

Purpose This paper investigates the consequences of the commercialisation of Australian universities. It also provides a theoretical framework which focuses this action. Design / methodology The Red Queen scenario posits that organisations that are more active than their rivals (they run faster) improve their competitive positions and increase their performance. However, organisations that are more sluggish (they run slower) experience negative performance consequences. This paper examines this process using the new institutional theory against the backdrop of the quest for increased international student numbers, higher international ranking and international accreditation. Findings Using data from the 2011 Excellence in Research for Australia project the findings support the Hypothesis that those universities that "run faster" that is achieve international accreditation and high international rankings perform better than universities that "run slower" that is do not achieve international accreditation and high international rankings. These findings were viewed through an institutional theory lens focusing on aspects of competition using the Red Queen sanerio. Practical implications While much has been written about the commercialisation of education in Australia, in particular accounting education, little is known about the consequences. This study casts doubts on the articulated desire of a "better" higher education institution and warns that its pursuit could result in a twotiered system. Originality/value This paper explores some of the consequences arising from changes in ideology in universities and the introduction of a commercial philosophy. In particular the influence research output has when measured in terms of published papers and research grants won.
PHYLOGENETIC RELATIONSHIPS WITHIN TRIBE GENISTEAE (PAPILIONOIDEAE) WITH SPECIAL REFERENCE TO GENUS ULEX

Molecular evidence presented here, from the literature and from this study, provide new insights into the systematics of the Genisteae s.s. Within this tribe, the evolutionary history of Ulex is investigated using phylogenetic analyses of two noncoding nuclear (ITS nrDNA) and plastid (trnL-trnF) sequences. Ulex represents a natural group, which is derived from within the Genista-Cytisus complex. A close relationship between Ulex and Stauracanthus is strongly supported by molecular data. Ulex appears to have evolved into two main lineages, which arose from a common diploid ancestor. One is represented by a single extant diploid species, U. micranthus, which is endemic in central Portugal. The second group includes all the remaining Euro-African diploid and polyploid taxa. The lack of resolution among the latter and their very weak molecular divergence are suggestive of a recent and rapid diversification of the gorses. The trnL-trnF sequence data also support Lupinus as a monophyletic group within Genisteae, that is distinct from the CytisusGenista complex.
Tight on Budget?: Tight Bounds for r-Fold Approximate Differential Privacy

Many applications, such as anonymous communication systems, privacy-enhancing database queries, or privacy-enhancing machine-learning methods, require robust guarantees under thousands and sometimes millions of observations. The notion of r-fold approximate differential privacy (ADP) offers a well-established framework with a precise characterization of the degree of privacy after r observations of an attacker. However, existing bounds for r-fold ADP are loose and, if used for estimating the required degree of noise for an application, can lead to over-cautious choices for perturbation randomness and thus to suboptimal utility or overly high costs. We present a numerical and widely applicable method for capturing the privacy loss of differentially private mechanisms under composition, which we call privacy buckets. With privacy buckets we compute provable upper and lower bounds for ADP for a given number of observations. We compare our bounds with state-of-the-art bounds for r-fold ADP, including Kairouz, Oh, and Viswanath's composition theorem (KOV), concentrated differential privacy and the moments accountant. While KOV proved optimal bounds for heterogeneous adaptive k-fold composition, we show that for concrete sequences of mechanisms tighter bounds can be derived by taking the mechanisms' structure into account. We compare previous bounds for the Laplace mechanism, the Gauss mechanism, for a timing leakage reduction mechanism, and for the stochastic gradient descent and we significantly improve over their results (except that we match the KOV bound for the Laplace mechanism, for which it seems tight). Our lower bounds almost meet our upper bounds, showing that no significantly tighter bounds are possible.
Do Implicit Barriers Matter for Globalization?

Market liberalization may not result in full market integration if implicit barriers are important. We test this proposition for investable and non-investable segments of twenty-two emerging markets (EMs). We also measure the degree of integration for six major developed markets (DMs) as a meaningful benchmark. We find that while the DMs are close to fully integrated, both EM segments are not effectively integrated with the global economy. We quantify the importance of implicit barriers and show that better institutions, stronger corporate governance, and more transparent markets in EMs would jointly contribute to a higher degree of integration by about 20% to 30%. The Author 2013. Published by Oxford University Press on behalf of The Society for Financial Studies. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com. , Oxford University Press.
Acidity in Zeolites and Their Characterization by Different Spectroscopic Methods

An overview of the different acidic sites in zeolites is presented here. It is followed by a discussion of the methods for identification of the various acidic sites and their distribution in some widely used zeolites such as faujasite, ZSM-5 and mordenite. Emphasis is laid on the discussion of various techniques, their relative advantages and disadvantages and several example studies, where these techniques are applied. The techniques discussed include titration in aprotic solvents, temperature-programmed desorption, microcalorimetric measurement of the heats of adsorption of probe molecules, IR spectroscopy with and without probe molecules, MAS NMR, photoelectron spectroscopy and positioQ annihilation spectroscopy. From this study it appears that a single technique is not sufficient for the characterization and interpretation of zeolite acid sites and for the prediction of catalytic activity. Combination of different techniques such as NMR with IR can provide more information about the structure of acid sites of zeolites. Zeolites are three-dimensional crystalline inorganic polymers whose structures are formed by comer sharing of Si044- and AIOt tetrahedra. Owing to the difference in valencies between Si and AI, each framework Al creates a negative charge in the lattice that requires the presence of a charge balancing cation to ensure the electroneutrality of the solid. The ionic nature of the bond between these counter cations and the zeolite framework allows the exchange of a cation by other cations without
EVALUATION OF THE CLASSROOM FURNITURE FOR UNIVERSITY STUDENTS

Kisilerin sosyal, kulturel, ekonomik ve psikolojik isteklerini karsilarken kullandiklari arac, gerec ve donanimlarin, insan vucudunun statik beden olculerine uygun olarak tasarlanmasi en uygun ve maksimum duzeyde fayda saglamaktadir. Bu durum zamaninin bircogunu masa ve siralarda geciren okul ogrencileri icin buyuk onem arz etmektedir. Bu calismada, Eskisehir Osmangazi Universitesi Muhendislik-Mimarlik Fakultesi’nde ogrenim goren 68’i kiz, 157’si erkek olmak uzere toplam 225 ogrencinin, tasarlanan olcum aletiyle, 11 antropometrik olcusu alinmistir. Alinan olcumlerin analizi sonucunda fakultede mevcut ikili masa ve siralarin ogrenciler icin onemli olcude uygun oldugu tesbit edilmistir.