Miracle-dz/UniFAR-FTUs huggingface dataset:
The effect of UGT 1 A and UGT 2 B polymorphisms on colorectal cancer risk : Haplotype associations and gene-environment interactions

UDP-glucuronosyltransferases (UGTs) play an important role in the phase II metabolism of exogenous and endogenous compounds. As colorectal cancer (CRC) etiology is thought to involve the biotransformation of dietary factors, UGT polymorphisms may affect CRC risk by altering levels of exposure. Genotyping of over 1800 Caucasian subjects was completed to identify the role of genetic variation in nine UGT1A and five UGT2B genes on CRC risk. Unconditional logistic regression and haplotype analyses were conducted to identify associations with CRC risk and potential gene-environment interactions. UGT1A haplotype analysis found that the T-G haplotype in UGT1A10 exon 1 (block 2: rs17864678, rs10929251) decreased colon cancer risk [proximal (OR = 0.28, 95% CI=0.11–0.69), distal (OR = 0.32, 95% CI=0.12–0.91)] and that the C-T-G haplotype in the 3′ region flanking the UGT1A shared exons (block 11: rs7578153, rs10203853, rs6728940) increased CRC risk in males (OR = 2.56, 95% CI=1.10–5.95). A haplotype in UGT2B15 containing a functional variant (rs4148269, K523T) and an intronic SNP (rs6837575) was found to affect rectal cancer risk overall (OR = 2.57, 95% CI=1.21–5.04) and in females (OR = 3.08, 95% CI=1.08–8.74). An interaction was found between high NSAID use and the A-G-T haplotype (block 10: rs6717546, rs1500482, rs7586006) in the UGT1A shared exons that decreased CRC risk. This suggests that UGT genetic variation alters CRC risk differently by anatomical sub-site and gender and that polymorphisms in the UGT1A shared exons may have a regulatory effect on gene expression that allows for the protective effect of NSAIDs on CRC risk. Correspondence to: Philip Lazarus, PhD, Department of Pharmaceutical Sciences, College of Pharmacy, Washington State University, P.O. Box 1495, Spokane, WA 99210, Phone: 509-358-7947, phil.lazarus@wsu.edu or Carla J. Gallagher, PhD, Department of Public Health Sciences, College of Medicine, Penn State University, 500 University Drive, CH69, Hershey, PA 17033, Tel: (717) 531-2973, Fax: (717) 531-0480, cgallagher@hmc.psu. edu. NIH Public Access Author Manuscript Genes Chromosomes Cancer. Author manuscript; available in PMC 2015 June 01. Published in final edited form as: Genes Chromosomes Cancer. 2014 June ; 53(6): 454–466. N IH -P A A uhor M anscript N IH -P A A uhor M anscript N IH -P A A uhor M anscript
Study of rheological behaviour of stainless steel feedstock taking into account the thermal effects

Powder injection moulding (PIM) process is well established for production of small precision components with both metal and ceramic powders. In comparison to unfilled polymers, the PIM-feedstocks are highly filled multiphase systems, whose flow behaviour is very sensitive to composition of binder and powder loading. Furthermore, the rheology of highly filled multiphase systems is characterized by strain and temperature dependence and influenced by flow instabilities and yield stress. In this study, the rheological behaviour of 316L feedstocks with a polypropylene/wax binder system and different powder loadings was investigated. The experimental work was performed with a rotational and a high pressure capillary rheometer. The aim of this work was to evaluate mixing rules predicting the viscosity of the feedstock out of its composition taking into account the melt temperature rise due to dissipative heating. Hence, measured data were corrected with respect to temperature. Thus the influence of the temperature onto the viscosity and the related model was evaluated.
Automatic Clustering of Papers in Mathematics

This paper explores the problem of document clustering in the specific domain of research papers in Mathematics. We apply the traditional document-vector model as described in (Steinbach et al., 2000) to this problem and identify potential drawbacks. We then develop techniques designed with mathematical papers specifically in mind, and attempt to quantitatively compare the results produced by the different approaches.
Model Reference Adaptive Control of a Small Satellite in the Presence of 1 Parameters Uncertainties

Model Reference Adaptive Control of a Small Satellite in the Presence of 1 Parameters Uncertainties 2 3 Karim Ahmadi Dastgerdi 1a , Farshad Pazooki * 1b , Jafar Roshanian 2c 4 5 1 department of mechanical and aerospace engineering, science and research branch, 6 Islamic Azad University, Tehran, Iran 7 2 department of aerospace engineering, K.N Toosi University of technology, Tehran, 8 Iran 9 10 a karimahmadidastgerdi@gmail.com 11 b pazooki_fa@srbiau.ac. ir 12 c roshanian@kntu.ac. ir 13 14 ABSTRACT 15 16 An accurate control algorithm for small satellites is critical to the mission's success. In 17 this paper, a novel discrete-time Model Reference Adaptive Control algorithm (MRAC) 18 is developed based on unified approach for attitude control of a three-axis stabilized 19 nonlinear satellite model. The linearized model of satellite with unknown dynamic 20 parameters is derived and Recursive Least Squares (RLS) algorithm is used to identify 21 the linear model’s unknown parameters. In order to take into account the nonlinear 22 model of satellite dynamics, the proposed MRAC strategy is used considering the linear 23 model, the estimation error; and the difference between the actual nonlinear system and 24 the linear model outputs. The actual nonlinear model of satellite includes moments of 25 inertia uncertainties, external disturbances, and sensor noise on the outputs. The 26 introduced controller performance is compared with a conventional discrete -time 27 MRAC which demonstrates excellent simultaneous regulation and tracking capabilities. 28 29
Economic Development and Wage Inequality : a Complex System Analysis – S 1 Appendix

In order to study wage inequality within US counties among sectors, we chose a between group Theil index, as defined in Section Variables of interest. These entropy-based inequality measures are decomposable into a within group component and a between group component, however they are not immune to single outliers [1]. With the aim of testing the robustness of our results, in this Appendix we delineate the same analysis scheme of Section Within one country: the case of the United States, however to measure wage inequality we use a Gini coefficient between-sector. The latter is an inequality measure which have been proved to be stabler to single outlying observations at the top or at the bottom of the distribution, and is the golden standard of inequality measures in the economic literature. For a population of n individuals and a discrete income distribution x ∈ R+ with xp ≤ xp+1 | p = 1, · · · , n, the Gini coefficient independent from the population is defined as follows:
Application and validation on road images

In the context of fine structure extraction, this paper presents a new meth od based on multi-resolution segmentation applied for the detection of road cracks. A method already develope d t detected low-contrasted biological membranes has been adapted to detect cracks on images: crac k features are defined as heterogeneities rather than transitions of closed regions characterizing the membranes. This new methodology is quantitatively validated on reference segmentations and compared to an adapted filtering and Markovian modelling algorithm.
Curriculum Distillation to Teach Playing Atari

Curriculum Distillation to Teach Playing Atari by Chen Tang Master of Science in Electrical Engineering and Computer Science University of California, Berkeley Professor John F. Canny, Chair We propose a framework of curriculum distillation in the setting of deep reinforcement learning. By selecting samples in its training history, a machine teacher sends those samples to a learner to improve its learning progress. In this paper, we investigate the idea on how to select these samples to maximize learner’s progress. One key idea is to apply the Zone of Proximal Development principle to guide the learner with samples slightly in advance of its current performance level. Another idea is to use the samples where teacher itself makes the biggest progress in its parameter space. To foster robust teaching and learning, we adapt such framework to distill curriculum from multiple teachers. We test such framework on a few Atari games. We show that those samples selected are both interpretable for humans, and are able to help machine learners converge faster in the training process.
The Bank is Open : AI in Sports Gambling

In this paper, we explore the applications of Machine Learning to sports betting by focusing on predicting the number of total points scored by both teams in an NBA game. We use Neural Networks as well as recurrent models for this task, and manage to achieve results that are similar to those of the sports books. On average, our best models can beat the house 51.5% of the time.
SPECTRAL RESPONSE FEATURES USED IN LAST IAEA STRESS TEST TO NPP CERNAVODA ( ROMANIA ) BY CONSIDERING STRONG NONLINEAR BEHAVIOUR OF SITE SOILS

Devastating – and, in some sense, unforeseen – earthquakes in Nepal, Japan, New Zealand, Haiti, Sumatra and elsewhere have triggered in last time a heated debate about the legitimacy and limitations of Probabilistic Seismic Hazard Assessment (PSHA). This method is a pure numerical creation, as it was developed from mathematical statistics and not based on earthquake physics. An important source of errors came from one of its key component: the Ground Motion Prediction Equation (GMPE), which describes a relationship between a ground motion parameter (PGA etc.), magnitude M, distance R. , without taking into account the nonlinear behavior of site soils during strong earthquakes. In order to capture these effects, the spectral amplification factors (SAF) were computed for the last recorded Vrancea intermediate-depth events showing a decrease with the increase of earthquake magnitude of earthquakes and these values are far of those given by R.G. 1.60 of the U. S. Atomic Energy Commission and IAEA Vienna. These SAF were used by NIEP, as alternative analysis, for NPP Cernavoda (Romania) in last “2011 STRESS TEST” asked by IAEA Vienna after Japan strong earthquake (Mw = 9.0).
Landmark Detection in Retinal Fundus Images

Fundus imaging is one of the most frequent used techniques for screening, diagnosis of eye diseases and abnormalities related to vessels. Optic disc, blood vessels are the main landmarks of the fundus retinal images. If the disease is detected prior then the visual loss can be prevented. Therefore automatic evaluation of fundus images is very necessary and can be used to support immediate diagnosis in ophthalmology as the shape and size of blood vessel and optic disc is an essential indicator of various eye diseases such as diabetic retinopathy and glaucoma. The basis of many automatic evaluations or diagnosis is the segmentation of retina remarkably the detection of optic disc and segmentation of the retinal vessels. The methodology is applied and analysed on available Database Drive. In this work, a method has been presented to segment the optic disc, blood vessels and exudates. Diagnosis of diabetic retinopathy at early stage can be done through detection of blood vessels of retina. Blood vessel segmentation is a helpful tool in the treatment of diabetic retinopathy. The segmentation of retinal vessels is obtained with the help of morphological bit plane slicing from retinal images. The results are compared with standard database and it showed better results in terms of contrast and optic disc and blood vessels are segmented properly.
The ecological and economic consequences of changing land use in The souThern drakensberg grasslands , souTh africa

The grassland biome of the southern Drakensberg region of South Africa is characterised by a relatively rich floral biodiversity, including a high level of endemics. Land use in the area was traditionally dominated by livestock ranching based mainly on indigenous grassland that conserved biodiversity to some degree. Currently, however, market demands and risk factors are shifting land use in the area to a matrix of beef, cropping, dairy and, in particular, plantation forestry. A spreadsheet model was constructed to assist understanding of how expected land-use conversion will in all likelihood influence the biodiversity, and, consequently, the total economic value (TEV) of the area. Six scenarios of increasing dairy and forestry intensification were modelled, incorporating biophysical and legal constraints to development. Results indicate that enhanced development is likely to have significant negative biodiversity impacts, including the reduction of the alpha diversity of the indigenous plants in the region, a diminished local invertebrate diversity and an increase in invasions. This could also jeopardise the long-term survival of the rare Wattled Crane and Oribi. Furthermore, while the direct-use value derived from agriculture and forestry increases with increasing development, its negative influence on the indirect value of water runoff, by far the greatest value of the area, is sufficient to potentially offset the benefits. Other major direct-use, indirect-use, option and existence values are also considered. JEL Q32, 57
STUDY ON SEVERAL REPRODUCTIVE ASPECTS OF SOFT CORAL SINULARIA FLEXIBILIS

Sinularia flexibilis is one species of soft coral having high economic value due to its pharmacologically active contents. This research was aimed to analyze several reproductive aspects of this soft coral using direct observation in its natural habitat, periodically collecting samples of body tissues, and then preparing and observing its histological preparation. Reproductive aspects found in this research were analyzed descriptively. Results of this research showed that the sexuality type of soft coral S. flexibilis was simultaneous hermaphrodite that reproduced by spawning, its reproductive pattern was hermaphrodite followed by spawning. It spawned from May-September, and the development of its sperm and oocyt was divided into four stages with different characters between one to another, particularly differed in shape, presence of organelles, and organelle colors.
C O ] 3 1 A ug 2 01 9 On inclusion chromatic index of a graph

Let χ⊂(G) be the least number of colours necessary to properly colour the edges of a graph G with minimum degree δ ≥ 2 so that the set of colours incident with any vertex is not contained in a set of colours incident to any its neighbour. We provide an infinite family of examples of graphs G with χ⊂(G) ≥ (1 + 1 δ−1 )∆, where ∆ is the maximum degree of G, and we conjecture that χ⊂(G) ≤ ⌈(1 + 1 δ−1 )∆⌉ for every connected graph with δ ≥ 2 which is not isomorphic to C5. The equality here is attained e.g. for the family of complete bipartite graphs. Using a probabilistic argument we support this conjecture by proving that for any fixed δ ≥ 2, χ⊂(G) ≤ (1 + 4 δ )∆(1 + o(1)) (for ∆ → ∞), what implies that χ⊂(G) ≤ (1 + 4 δ−1 )∆ for ∆ large enough. AMS Subject Classification: 05C15
F eb 2 01 8 A general tool for LTE thermochemistry for adiabatic nondi ff usive fluid dynamics : applications to 2 D planar discontinuity flows in SPH

Chemical reactions in fluid dynamics deeply modify the flow physical conditions through both the contribution of the energy of reactions and the variation of the mean molecular weight and of the ratio of specific heats. This occurs typically on time scales largely much smaller than diffusive time scales of the produced chemicals, especially for shock waves coming from explosive events. In this work we show how it is possible to include a standing alone algorithm, dealing with both molecular and nuclear thermochemistry in the computational nondiffusive adiabatic flow dynamics in local thermal equilibrium (LTE) in an explicit scheme of integration of fluid dynamics equations, free of the adopted computational framework. In this paper, working in the Free Lagrangian GASPHER framework, belonging to the smooth particle hydrodynamics methods (SPH), some comparisons are made for planar discontinuity flows among reactive to the respective unreactive flow models, assuming the same initial physical conditions and simple chemical composition. Results show the importance of the role not only of the thermochemical reaction energy, but also of the mean molecular weight and of the ratio of specific heats.
8 Cellular Mechanisms of MOF During Severe Sepsis and Septic Shock

Severe sepsis and septic shock continue to plague intensive care units, leading to significant morbidity and mortality (Vincent et al., 2007). During the pathogenesis of sepsis, patients often develop multiple organ failure (MOF), which is believed to be the main cause of death (Vincent et al., 2007), indicating that either treatment or prevention of MOF could have profound therapeutic implications. However, despite extensive research in this field, the mechanisms and cellular pathophysiology involved in the transition of sepsis to MOF remain unclear, likely due to their immense complexity and cross-talk between signalling pathways. This chapter aims to highlight the current knowledge regarding the pathophysiology of sepsis-induced organ dysfunction and failure, specifically outlining the current state of knowledge regarding septic-induced dysfunction of the lung, liver, kidney, cardiovascular system and brain For each of these organ systems, we will identify the major cell types prone to damage and briefly describe the key molecular pathways thought to contribute to this phenomenon, thereby ascertaining possible novel therapeutic targets.
Track – Research Project Proposal – Representation Learning on Dynamic Graphs

In recent years, models able to work with graph structured data have become more appealing, and an increased attention has been given to the field of network or graph representation learning (NRL). Graphs are a ubiquitous data structure used to model complex real-life problems in a variety of fields, such as computer science, medicine, psychics and social science. Applications cover a large spectrum of real-world tasks in forms of social network, telecommunication, chemistry and financial transaction. The aim of graph representation learning is to define models that are able to extract useful information directly from the graph structure. The idea is to provide a suitable latent representation of the data in a low-dimensional space. The goal of the research field is to extend well-known machine learning and deep learning models to signals that are defined over irregular domains, that do not present a lattice structure.
The Load Balancing Strategy to Improve the Efficiency in the Public Cloud Environment

Load balancing in the cloud computing environment has an important impact on the performance. Good load balancing makes cloud computing more efficient and improves user satisfaction. This article introduces a better load balance model for the public cloud based on the cloud partitioning concept with a switch mechanism to choose different strategies for different situations. The algorithm applies the game theory to the load balancing strategy to improve the efficiency in the public cloud environment.
Silver Bullet: Slaying Software Werewolves Efficiently

Jay Xiong NSEsoftware, LLC. , USA jayxiong@yeah.net, jay@nsesoftware.com Abstract This paper introduces a Silver Bullet for slaying software werewolves efficiently by shifting software engineering foundation from reductionism to complexity science. The Silver Bullet complies with the essential principles of complexity science, including the Nonlinearity Principle, the Holism Principle, the Dynamics Principle, the Self-Organization Principle, the Self-Adaptation Principle, the Openness Principle, and more, so that with the Silver Bullet almost all software engineering tasks are performed nonlinearly, holistically, globally, and quantitatively to bring revolutionary changes to almost all areas of software engineering. The Silver Bullet has been fully implemented and supported by Panorama++ platform. Theoretical comparisons and preliminary applications show that compared with the old-established software engineering paradigm, it is possible for the Silver Bullet to help software development organizations double their productivity and project success rate, halve their cost, improve the quality of their products in several orders of magnitude, and slay software werewolves ("a monster of missed schedules, blown budgets, and flawed products”) efficiently.
2 The Need for Semantics in Matching Security Assertions

The lack of semantics inWS-SecurityPolicy (WS-SP)hampers the effectiveness of matching the compatibility betweenWS-SP assertions. To resolve this problem, we present in this paper a semantic approach for specifying and matching the security assertions. The approach consists in the transformation of WS-SP into an OWL-DL ontology and the definition of a set of semantic relations that can exist between the provider and requestor security concepts.We show how these relations lead to more correct and flexible matching of security assertions.
Asian multiculturalism in communication : Impact of culture in the practice of public relations in Singapore

This study aims to understand the role of cultural values in influencing public relations practice in Singapore. Given that Singapore exhibits a hybrid of cultures, it purposes to comprehend how multiculturalism is operationalized and to uncover if the values that have a greater influence on organizational communication resemble those in individualistic or collectivistic societies. Using Gudykunst’s (1998) seven dimensions that influence individualism-collectivism on communication as a guide, this study interviewed 20 public relations practitioners in Singapore. Our findings showed that although the patterns expressed is slightly more consistent with those found in collectivistic cultures, it does not resemble collectivism in entirety. Multiculturalism in Singapore displays a blend of certain cultural hybridity, which is aligned with it being a multicultural cosmopolitan city that embodies Western modernity while retaining its Asian values. Our findings further reinforced the idea that public relations professionals need to be multicultural themselves to effectively communicate with culturally diverse stakeholders in today’s globalizing era of multiculturalism.
Leveraging Information Visualization Techniques and Driving Statistics for Influencing User Behaviour

While the self-driving car is considered the future of transportation, safety has been a serious issue for a while. Research in the area of machine learning, human-computer interaction, and autonomous systems are trying to mitigate safety concerns. Until the autonomous vehicle reaches the state of full automation, manufacturers stress on the role of human drivers in semi-autonomous vehicles to ensure safe driving. In this paper, we present a visualization system where a human driver can analyze driving statistics with respect to community averages in a user-friendly manner. We incorporate gamification techniques to promote safe driving behavior. We present our findings from a usability test and discuss implications for design.
HetNets Coverage Modeling and Analysis Over Fox's $\mathcal{H}$-Fading Channels

This paper embodies the Fox's ${\mathcal H}$-transform theory into a unifying modeling and analysis of HetNets. The proposed framework has the potential, due to the Fox's ${\mathcal H}$-functions versatility, of significantly simplifying the cumbersome analysis and representation of cellular coverage, while subsuming those previously derived for all known simple and composite fading models. The paper reveals important insights into the practice of densification in conjunction with signal-to-noise plus interference (SINR) thresholds and path-loss models.