Miracle-dz/UniFAR-FTUs huggingface dataset:
Glucose Intolerance Mediated by Ghrelin through the Suppression of Insulin Secretion in Healthy Iraqi Children

Background:Ghrelin, identified as an endogenous ligand for the growth hormone secretagogue receptor, functions as a somatotrophic and orexigenic signal from the stomach. The secretion of ghrelin increases under conditions of negative energy balance, such as starvation, cachexia, and anorexia nervosa, whereas its expression decreases under conditions of positive energy-balance such as feeding, hyperglycemia, and obesity. In addition to having a powerful effect on the secretion of growth hormone, ghrelin stimulates food intake and transduces signals to hypothalamic regulatory nuclei that control energy homeostasis. Thus, it is interesting to note that the stomach may play an important role in not only digestion but also as a pituitary growth hormone release and central feeding regulation. Objective:The orexigenic gut hormone ghrelin and its receptor are present in pancreatic islets. Although ghrelin reduces insulin secretion in rodents, its effect on insulin secretion in humans has not been yet established. The goal of this study was to test the hypothesis that circulating ghrelin suppresses insulin secretion in healthy children. Subjects and methods : ELISA method was used to assay Ghrelin and Insulin . By taken blood sample from 40 obese children, 11 overweight children and 29 normal weight healthy children their age (5-11) years. Results: the mean of Ghrelin concentration was significantly lower in obese and overweight children than in controls ( P < 0.000 ) . The mean of Insulin concentration was significantly higher in obese and overweight children than in controls ( P < 0.007) . Negative correlation between Ghrelin and BMI also negative correlation between Ghrelin and Insulin. Conclusion: This study showed that ghrelin reduces insulin secretion and glucose disappearance in healthy children. This findings raise the possibility that endogenous ghrelin has a role in physiologic insulin secretion, and that it antagonists may improve β-cell function.
Optimal Residential Demand Response in Distribution Networks

Demand response (DR) enables customers to adjust their electricity usage to balance supply and demand. Most previous works on DR consider the supply-demand matching in an abstract way without taking into account the underlying power distribution network and the associated power flow and system operational constraints. As a result, the schemes proposed by those works may end up with electricity consumption/shedding decisions that violate those constraints and thus are not feasible. In this paper, we study residential DR with consideration of the power distribution network and the associated constraints. We formulate residential DR as an optimal power flow problem and propose a distributed scheme where the load service entity and the households interactively communicate to compute an optimal demand schedule. To complement our theoretical results, we also simulate an IEEE test distribution system. The simulation results demonstrate two interesting effects of DR. One is the location effect, meaning that the households far away from the feeder tend to reduce more demands in DR. The other is the rebound effect, meaning that DR may create a new peak after the DR event ends if the DR parameters are not chosen carefully. The two effects suggest certain rules we should follow when designing a DR program.
Periodic conservative solutions of the Camassa–Holm equation

Nous montrons que l'equation de Camassa-Holm periodique u t -u xxt + 3uu x - 2uxu xx - uu xxx = 0 possede un semi-groupe continu de solutions globales pour des conditions initiales u{ t=0 dans H 1 per . Le resultat est obtenu en utilisant un changement de variable ou l'equation est reecrite en variables lagrangiennes. Pour decrire les solutions, il est necessaire d'introduire la densite d'energie donnee par la mesure le Radon positive μ qui satisfait. μ ac = (u 2 +u 2 x )dx. L'energie totale est preservee par la solution.
Self-organization of nodes using bio-inspired techniques for achieving small world properties

In an autonomous wireless sensor network, self-organization of the nodes is essential to achieve network wide characteristics. We believe that connectivity in wireless autonomous networks can be increased and overall average path length can be reduced by using beamforming and bio-inspired algorithms. Recent works on the use of beamforming in wireless networks mostly assume the knowledge of the network in aggregation to either heterogeneous or hybrid deployment. We propose that without the global knowledge or the introduction of any special feature, the average path length can be reduced with the help of inspirations from the nature and simple interactions between neighboring nodes. Our algorithm also reduces the number of disconnected components within the network. Our results show that reduction in the average path length and the number of disconnected components can be achieved using very simple local rules and without the full network knowledge.
Contributions to the Worst-Case Response Time Analysis of Real-Time Sporadic Traffic in WorldFIP Networks

In this paper we address the ability of WorldFIP to cope with the real-time requirements of distributed computercontrolled systems (DCCS). Typical DCCS include process variables that must be transferred between network devices both in a periodic and sporadic (aperiodic) basis. The WorldFIP protocol is designed to support both types of traffic. WorldFIP can easily guarantee timeliness requirements for the periodic traffic. However, for the aperiodic traffic more complex analysis must be made in order to guarantee its timing requirements. This paper describes work that is being carried out to extend previous relevant work [1,2], in order to include the actual schedule for the periodic traffic in the worst-case response time analysis of sporadic traffic in WorldFIP networks.
Dealing with High Debt in an Era of Low Growth

task has become particularly challenging in European advanced economies where expectations of low growth and limits to monetary policy support are shifting the burden of adjustment onto fiscal consolidation. The SDN will investigate the main drivers behind successful past debt reversals, focusing on macroeconomic and financial market conditions, the speed and form of fiscal adjustment, and the institutional policy setting, among other things. Its policy conclusions will depend on the emerging stylized facts but are likely to include considerations on the design and pace of fiscal consolidation, taking into account country-specific as well as regional economic, institutional, and political factors.
Sheafifying Consistent Histories

Isham's topos-theoretic perspective on the logic of the consistent-histories theory is extended in two ways. First, the presheaves of consistent sets of history propositions in the topos proposed by Isham are endowed with a Vietoris-type of topology and subsequently they are sheafified with respect to it. The category resulting from this sheafification procedure is the topos of sheaves of sets varying continuously over the Vietoris-topologized base poset category of Boolean subalgebras of the universal orthoalgebra of quantum history propositions. The second extension of Isham's topos consists in endowing the stalks of the aforementioned sheaves, which were originally inhabited by structureless sets, with further algebraic structure, that also enjoys a quantum causal interpretation, so as to arrive at the topos of consistent-histories of quantum causal sets. The resulting quantum causal histories topos is compared with Markopoulou's quantum causal histories, with Mallios and this author's finitary spacetime sheaves of quantum causal sets, as well as with Butterfield and Isham's topos perspective on the Kochen-Specker theorem of quantum logic.
A Note on Stochastic Survival Probabilities and Their Calibration

In this note we use doubly stochastic processes (or Cox processes) in order to model the evolution of the stochastic force of mortality of an individual aged x. These processes have been widely used in the credit risk literature in modelling the default arrival, and in this context have proved to be quite flexible and useful. We investigate the applicability of these processes in describing the individual's mortality, and provide a calibration to the Italian case. Results from the calibration are twofold. Firstly, the stochastic intensities seem to better capture the development of medicine and long term care which is under our daily observation. Secondly, when pricing insurance products such as life annuities, we observe a remarkable premium increase, although the expected residual lifetime is essentially unchanged.
Refinements in Syntactic Parsing

Syntactic parsing is one of the core tasks of natural language processing, with many appli- cations in downstream NLP tasks, from machine translation and summarization to relation extraction and coreference resolution. Parsing performance on English texts, particularly well-edited newswire text, is generally regarded as quite good. However, state-of-the-art constituency parsers produce incorrect parses for more than half of sentences. Moreover, parsing performance on other genres or in other languages is still quite hit-or-miss, mostly miss.Many approaches have been developed for building constituency parsers over the years, in- cluding lexicalization (Collins 1997; Charniak 2000), structural annotation (Johnson 1998a; Klein and Manning 2003), and latent variable annotation (Matsuzaki, Miyao, and Tsujii 2005; Petrov et al. 2006). Each of these kinds of models have different strengths and weak- nesses.In this thesis, we develop a model of constituency parsing that attempts to unify these earlier parsing models. This approach centers around the idea of refinement of a simple underlying grammar. We show how latent variable modeling, structural annotation, and lexicalization can all be expressed as grammar refinements.These kinds of refinements capture different phenomena, but systems have generally chosen one kind or another. This is because grammars can grow exponentially as additional refinements are added. We present an approach where multiple refinements coexist, but in a factored manner that avoids this combinatorial explosion. Our method works with linguistically-motivated annotations, induced latent structure, lexicalization, or any mix of the three. By using the approximate inference algorithm expectation propagation (Minka 2001), we are able to use many refinements at the same time, without incurring substantial overhead in terms of parsing speed. With this system in hand, we examine the extent to which using many kinds of refinements can improve performance.From there, we question whether grammar refinements are necessary at all. We present a parser that largely eschews refinements in favor of simple surface configurations. We show that it works quite well on ten different languages from several different language families.Finally, we show how to take advantage of the refinement structure of latent variable grammars to double the speed of an already extremely fast parser for graphics processing units (GPUs). Our resulting GPU parser is around 40 times faster than the original CPU implementation, parsing over 400 sentences per second on a commodity consumer-grade GPU.
Non-Objection Inference for Inconsistency-Tolerant Query Answering

Repair based techniques are a standard way of dealing with inconsistency in the context of ontology based data access.We propose a novel nonobjection inference relation (along with its variants) where a query is considered as valid if it follows from at least one repair and it is consistent with all the repairs. These inferences are strictly more productive than universal inference while preserving the consistency of its set of conclusions. We study the productivity and properties of the new inferences. We also give experimental results of the proposed nonobjection inference.
Toxocara Seroprevalence in Patients with Idiopathic Parkinson's Disease: Chance Association or Coincidence?

Most cases of idiopathic Parkinson disease (IPD) are believed to be due to a combination of genetic and environmental factors. The purpose of this study is to investigate the relationship between toxocariasis and Parkinson disease (PD). Patients were selected from people who were admitted to the Movement Disorders Branch, Neurology Department of Elazığ University Faculty of Medicine Elazığ, Turkey. We studied specific IgG antibodies against Toxocara canis (T. canis) in 50 patients with idiopathic Parkinson and 50 healthy volunteers. We investigated the clinical history of three patients infected with T. canis. We also studied specific IgG antibodies against Toxoplasma gondii in these groups. Antibodies anti-Toxocara canis were found in 3 idiopathic PD (6%) (P = 0.121) and antibody titer was not found in control. A patient had history of the presence of dog in current dog ownership. We did not detect any statistically significant association between T. canis and IPD. But, we believe that further comprehensive studies are required for understanding whether there is a causal relation between toxocariasis and PD. We didn't find possible association between Toxoplasma gondii and IPD (P = 0.617).
A Tariff-Growth Paradox? Protection&Apos;S Impact the World Around 1875-1997

This paper uses a new database to establish two findings covering the first globalization boom before World War I, the second since World War II, and the autarkic interlude in between. First, there is strong evidence supporting a Tariff-Growth Paradox: protection was associated with fast growth before World War II, while it was associated with slow growth thereafter. Second, there is strong evidence supporting regional asymmetry: while the tariff-growth association was powerful and positive in the Core and rich New World before World War II, it was typically weak and negative in the poor Periphery. The paper offers explanations for the Paradox by controlling for a changing world economic environment. It shows how the oft-quoted Sachs-Warner results for 1970-1989 are significantly revised when one controls for trading partners' growth, trading partners' tariffs and the effective distance between them over the longer half-century 1950-1997. Falling partners' tariffs was the most important force accounting for the switch in sign on the tariff-growth connection after 1950. An increase in own tariffs after 1950 hurt growth, but it would not have hurt growth in a world where partners' tariffs were much higher, trading partners' growth much slower, and the world less closely connected by transportation. World environment matters. Leader-country reaction to big world events (like the Great Depression) matter. Followers take notice.
Consumption, money and lending: a joint model for the UK household sector

Previous research has investigated consumers' expenditure and money demand as separable equations. This study estimates them jointly as driven by the same influences. Credit is also included as a potential third variable that might provide a source of additional information about the monetary transmission mechanism. Consumption, money and lending equations are modelled as an interdependent system, and the significance of lending for consumption and money is tested. The results using UK household sector data show that a stable credit equation does exist in parallel with money demand and consumption equations, and that interactions modelled in a conditional vector equilibrium correction system are favoured over independent equations.
On-Farm and Off-Farm Returns to Education among Farm Operators in Northern Ireland

This paper estimates returns to education for a sample of farm operators in Northern Ireland. The analysis examines the relationship between education and on-farm and off-farm labour incomes. Human capital earnings functions are estimated to identify the marginal return to education measured as years of schooling as well as the qualification level attained. Extending to a structural model, the methodology controls for the endogeneity of education in the earnings function and potential selection bias associated with off-farm labour market participation. In off-farm employment, the analysis shows that returns to education are of the order of between 6% and 9% for each additional year of schooling. However, on-farm earnings were not found to be significantly related to years of education, although the analysis does identify a significant on-farm return to an agricultural qualification
Hydration increases the lifetime of HSO 5 and enhances its ability to act as a nucleation precursor – a computational study

Abstract. Recent experimental findings indicate that HSO5 radicals may play a key role in the nucleation of atmospheric SO2 oxidation products. HSO5 radicals are metastable intermediates formed in the SO2 oxidation process, and their stability and lifetime are, at present, highly uncertain. Previous high-level computational studies have predicted rather low stabilities for HSO5 with respect to dissociation into SO3+HO2, and have predicted the net reaction HSO3+OH→SO3+HO2 to be slightly exothermal. However, these studies have not accounted for hydration of HSO5 or its precursor HSO3. In this study, we have estimated the effect of hydration on the stability and lifetime of HSO5 using the advanced quantum chemical methods CCSD(T) and G3B3. We have computed formation energies and free energies for mono- and dihydrates of OH, HSO3, HSO5, SO3 and HO2, and also reanalyzed the individual steps of the HSO3+O2→HSO5→SO3+HO2 reaction at a higher level of theory than previously published. Our results indicate that hydration is likely to significantly prolong the lifetime of the HSO5 intermediate in atmospheric conditions, thus increasing the probability of reactions that form products with more than one sulfur atom. Kinetic modeling indicates that these results may help explain the experimental observations that a mixture of sulfur-containing products formed from SO2 oxidation by OH radicals nucleates much more effectively than sulfuric acid taken from a liquid reservoir.
Photoreactivation of ultraviolet radiation-induced pyrimidine dimers in neonatal BALB/c mouse skin.

The numbers of ultraviolet light (UV)-induced pyrimidine dimers in the DNA of neonatal BALB/c mouse skin were measured by assessing the sensitivity of the DNA to Micrococcus luteus UV endonuclease. Irradiation of neonatal BALB/c mice with FS40 sunlamps caused a dose-dependent induction of endonuclease-sensitive sites (pyrimidine dimers) in DNA extracted from back skin. Exposure of these UV-irradiated neonatal mice to photoreactivating (PR) light ("cool white" fluorescent lamp and incandescent lamp) caused a reduction in the number of pyrimidine dimers in the DNA, as revealed by a shift in low-molecular-weight DNA to high-molecular-weight DNA. In contrast, DNA profiles of the skin of either UV-irradiated mice or UV-irradiated mice kept in the dark for the same duration as those exposed to PR light did not show a loss of UV-induced endonuclease-sensitive sites. Furthermore, reversing the order of treatment, i.e., administering PR light first and then UV, did not produce a reduction in pyrimidine dimers. These results demonstrate that PR or UV-induced pyrimidine dimers occurs in neonatal BALB/c mouse skin. The optimal wavelength range for in vivo PR appears to be in the visible region of the spectrum (greater than 400 nm). Although dimer formation could be detected in both dermis and epidermis, PR occurred only in the dermis. Furthermore, the PR phenomenon could not be detected in the skin of adult mice from the same inbred strain.
What Are the Odds? A Practical Guide to Computing and Reporting Bayes Factors

The purpose of this paper is to provide an easy template for the inclusion of the Bayes factor in reporting experimental results, particularly as a recommendation for articles in the Journal of Problem Solving. The Bayes factor provides information with a similar purpose to the p-value – to allow the researcher to make statistical inferences from data provided by experiments. While the p-value is widely used, the Bayes factor provides several advantages, particularly in that it allows the researcher to make a statement about the alternative hypothesis, rather than just the null hypothesis. In addition, it provides a clearer estimate of the amount of evidence present in the data. Building on previous work by authors such as Wagenmakers (2007), Rouder et al. (2009), and Masson (2011), this article provides a short introduction to Bayes factors, before providing a practical guide to their computation using examples from published work on problem solving.
Pnovo+: De Novo Peptide Sequencing Using Complementary Hcd and Etd Tandem Mass Spectra

De novo peptide sequencing is the only tool for extracting peptide sequences directly from tandem mass spectrometry (MS) data without any protein database. However, neither the accuracy nor the efficiency of de novo sequencing has been satisfactory, mainly due to incomplete fragmentation information in experimental spectra. Recent advancement in MS technology has enabled acquisition of higher energy collisional dissociation (HCD) and electron transfer dissociation (ETD) spectra of the same precursor. These spectra contain complementary fragmentation information and can be collected with high resolution and high mass accuracy. Taking these advantages, we have developed a new algorithm called pNovo+, which greatly improves the accuracy and speed of de novo sequencing. On tryptic peptides, 86% of the topmost candidate sequences deduced by pNovo+ from HCD + ETD spectral pairs matched the database search results, and the success rate reached 95% if the top three candidates were included, which was much higher than using only HCD (87%) or only ETD spectra (57%). On Asp-N, Glu-C, or Elastase digested peptides, 69−87% of the HCD + ETD spectral pairs were correctly identified by pNovo+ among the topmost candidates, or 84−95% among the top three. On average, it takes pNovo+ only 0.018 s to extract the sequence from a spectrum or spectral pair on a common personal computer. This is more than three times as fast as other de novo sequencing programs. The increase of speed is mainly due to pDAG, a component algorithm of pNovo+. pDAG finds the k longest paths in a directed acyclic graph without the antisymmetry restriction. We have verified that the antisymmetry restriction is unnecessary for high resolution, high mass accuracy data. The extensive use of HCD and ETD spectral information and the pDAG algorithm make pNovo+ an excellent de novo sequencing tool.
Interior Gradient Estimates and Existence Theorems for Constant Mean Curvature Graphs in Mn × R

In this paper we establish a priori interior gradient estimates and existence theorems for n dimensional graphs S = {(x, u(x)) : x ∈ Ω} of constant mean curvature H > 0 in an n+ 1 dimensional Riemannian manifolds of the form M × R where M is simply connected and complete and Ω is a bounded domain in M. Our aim is to illustrate the use of intrinsic methods that hold in great generality to obtain apriori estimates. In particular, we shall solve the Dirichlet problem for constant mean curvature graphs analogous to the results of Serrin [14, 15].