Miracle-dz/UniFAR-FTUs huggingface dataset:
DES Y1 Results: validating cosmological parameter estimation using simulated Dark Energy Surveys

We use mock galaxy survey simulations designed to resemble the Dark Energy Survey Year 1 (DES Y1) data to validate and inform cosmological parameter estimation. When similar analysis tools are applied to both simulations and real survey data, they provide powerful validation tests of the DES Y1 cosmological analyses presented in companion papers. We use two suites of galaxy simulations produced using different methods, which therefore provide independent tests of our cosmological parameter inference. The cosmological analysis we aim to validate is presented in DES Collaboration et al. (2017) and uses angular two-point correlation functions of galaxy number counts and weak lensing shear, as well as their cross-correlation, in multiple redshift bins. While our constraints depend on the specific set of simulated realisations available, for both suites of simulations we find that the input cosmology is consistent with the combined constraints from multiple simulated DES Y1 realizations in the Omega(m) - sigma(8) plane. For one of the suites, we are able to show with high confidence that any biases in the inferred S-8 = sigma(8)(Omega(m)/0.3)(0.5) and Omega(m) are smaller than the DES Y1 1 - sigma uncertainties. For the other suite, for which we have fewer realizations, we are unable to be this conclusive;we infer a roughly 60 per cent (70 per cent) probability that systematic bias in the recovered Omega(m) (S-8) is sub-dominant to the DES Y1 uncertainty. As cosmological analyses of this kind become increasingly more precise, validation of parameter inference using survey simulations will be essential to demonstrate robustness.
Detection of genetically modified organisms (GMOs) using molecular techniques in food and feed samples from Malaysia and Vietnam

Food labeling in accordance with Novel Food Regulation has been enforced in the European Community since 1997 with a series of updated legislations namely, EC/258/97, EC/1139/98, EC/49/2000, EC/50/2000 and EC/1829/2003. Guidelines and labeling regulations for the use of GMOs materials in food and feed products has also been introduced in Malaysia and Vietnam. Therefore, the demand for the establishment and development of a robust and rapid operation procedure for GMO detection has increased recently in both countries. The procedure of GMO detection emphasizes not only on detection tests but also on confirmation assays. This study employed PCR technology for detection and direct DNA sequencing for confirmation procedures respectively. The results demonstrated for the first time the presence of GM plants with glyphosate-resistant trait led by the control of P35S promoter and NOS terminator in either Malaysian or Vietnamese feed with high frequency (20 positive samples out of 24 analyzed samples). The P35S promoter, EPSPS gene and NOS terminator sequences obtained showed some mutations on single-stranded and double-stranded targeted sequences caused by single nucleotide insertion or single nucleotide changes. These results reinforce the need for development of detection procedures to comply with food/feed labeling system.
An optimal control problem for a Kirchhoff-type equation

In this paper we study a control problem for a Kirchhoff-type equation. The method to obtain first order necessary optimality conditions is the Dubovitskii–Milyoutin formalism because the classical arguments do not work. We obtain a characterization of the optimal control by a partial differential system which is solved numerically.
Title Specular surface recovery from reflections of a planar patternundergoing an unknown pure translation

This paper addresses the problem of specular surface recovery, and proposes a novel solution based on observing the reflections of a translating planar pattern. Previous works have demonstrated that a specular surface can be recovered from the reflections of two calibrated planar patterns. In this paper, however, only one reference planar pattern is assumed to have been calibrated against a fixed camera observing the specular surface. Instead of introducing and calibrating a second pattern, the reference pattern is allowed to undergo an unknown pure translation, and a closed form solution is derived for recovering such a motion. Unlike previous methods which estimate the shape by directly triangulating the visual rays and reflection rays, a novel method based on computing the projections of the visual rays on the translating pattern is introduced. This produces a depth range for each pixel which also provides a measure of the accuracy of the estimation. The proposed approach enables a simple auto-calibration of the translating pattern, and data redundancy resulting from the translating pattern can improve both the robustness and accuracy of the shape estimation. Experimental results on both synthetic and real data are presented to demonstrate the effectiveness of the proposed approach.
Automatic Registration of laser scanning data and colour images

Laser scanning is a new technique for three dimensional point measurements. Over the last decades the number of applications in which these measurements take place, has grown significantly. In every application the surveyors are looking for the same result, namely a three dimensional point cloud of the object of interest. The purpose of this research is to improve the quality of the visualization: the objective is to automatically register a laser scanner point cloud with colour images. This objective is based on the developed data acquisition of Zoller + Frohlich GmbH, Wangen im Allgau, Germany: a digital camera is fixed on the laser scanner close to its centre. The instrument produces a full scan and colour images of its environment. The automatic registration of laser scanning data and colour images designed in this research is successfully implemented by making use of gradient operators, edge detectors and descriptors. Points of interest are found and matched in both the intensity image of the laser scanner and the colour images of the camera. The matched points are used to determine the external parameters of the colour image in object space with a non-linear rigid optimization. These parameters form the connection between the colour points and the laser 3D coordinates. Visualization can be made now by either plotting the colours onto the 3D points or plotting the range data onto the colour image.
Does Sleep Disturbance Among Parents of Infants Predict Increased Depressive Symptoms

Does Sleep Disturbance Among Parents of Infants Predict Increased Depressive Symptoms? Zachary Joseph Blackhurst Department of Psychology, BYU Master of Science Research has shown that sleep disturbance (e.g., sleep latency, wakefulness after sleep onset [WASO]) negatively affects physical, emotional, and mental health. For many adults, the postpartum period is one that is particularly highlighted by sleep disturbance and fatigue. Postpartum mothers are also more vulnerable to psychiatric disorders such as depression. We sought to investigate whether the number of children and presence of an infant predicted clinically significant sleep disturbance, and subsequently, depressive symptoms, for both mothers and fathers. We found that having an infant was significantly associated with increased wife WASO, which in turn was associated with increased depressive symptoms for wives. Further, husband WASO was associated with decreased wife WASO which was similarly associated with decreased depressive symptoms for wives. Thus, by helping with nighttime care so that mothers can get more sleep fathers can greatly contribute to the physical and emotional health of mothers.
The Size and Development of the Shadow Economies in the Asia-Pacific

* Professor Dr. Friedrich Schneider, Department of Economics, Johannes Kepler University of Linz, Altenbergerstrasse 69, A-4040 Linz-Auhof, Austria. Phone: 0043-70-2468-8210, Fax: 0043-70-2468-8209. Email: friedrich.schneider@jku.at, http://www.economics. uni-linz.ac. at/Members/Schneider/default.htm . Dr. Christopher Bajada, School of Finance and Economics, University of Technology, Sydney, P.O Box 123 Broadway, Syndey NSW Australia 2007. Phone: +61-2-9514-7786, Fax: +61-2-9514-7711. E-mail: chris.bajada@uts.edu. au
A Data-Driven 2-Optimal Control Approach for Adaptive Optics

Adaptive optics (AO) is used in ground-based astronomical telescopes to improve the resolution by counteracting the effects of atmospheric turbulence. Most AO systems are based on a simple control law that neglects the temporal evolution of the distortions introduced by the atmosphere. This paper presents a datadriven control design approach that is able to exploit the spatiotemporal correlation in the wavefront, without assuming any form of decoupling. The approach consists of a dedicated subspace-identification algorithm to identify an atmospheric disturbance model from open-loop wavefront sensor data, followed by 2-optimal control design. It is shown that in the case that the deformable mirror and wavefront sensor dynamics can be represented by a delay and a two taps impulse response, it is possible to derive an analytical expression for the 2-optimal controller. Numerical simulations on AO test bench data demonstrate a performance improvement with respect to the common AO control approach.
Unlike phrase structure category coordination

We present a feature-based theory of phrase structure category labels which assigns an appropriate category to unlike category coordinations such as (Fred is) [[a Democrat] and [proud of it]]: we propose that unlike category coordinations are specified as including features of the phrase structure categories of each of the conjuncts.
Prices versus Quantities versus Bankable Quantities

Quantity-based regulation with banking allows regulated firms to shift obligations across time in response to periods of unexpectedly high or low marginal costs. Despite its wide prevalence in existing and proposed emission trading programs, banking has received limited attention in past welfare analyses of policy choice under uncertainty. We address this gap with a model of banking behavior that captures two key constraints: uncertainty about the future from the firm's perspective and a limit on negative bank values (e.g. borrowing). We show conditions where banking provisions reduce price volatility and lower expected costs compared to quantity policies without banking. For plausible parameter values related to U.S. climate change policy, we find that bankable quantities produce behavior quite similar to price policies for about two decades and, during this period, improve welfare by about a $1 billion per year over fixed quantities.
Metaheuristic Based Clustering Algorithms for Biological Hypergraphs

Hypergraphs are widely used for modeling and representing relationships between entities, one such field where their application is prolific is in bioinformatics [1] and [2]. In the present era of big data, sizes and complexity of these hypergraphs grow exponentially, it is impossible to process them manually or even visualize their interconnectivity superficially. A common approach to tackle their complexity is to cluster similar data nodes together in order to create a more comprehensible representation. This enables similarity discovery and hence, extract hidden knowledge within the hyper graphs. Several state-of-the-art algorithms have been proposed for partitioning and clustering of hypergraphs. Nevertheless, several issues remain unanswered, improvement to existing algorithms are possible, especially in scalability and clustering quality. This article presents a concise survey on hypergraph-clustering algorithms with the emphasis on knowledge-representation in systems biomedicine. It also suggests a novel approach to clustering quality by means of cluster-quality metrics which combines expert knowledge and measurable objective distances in existing biological ontology.
DOES THE AGENCY COST MODEL EXPLAIN BUSINESS FLUCTUATIONS IN JAPAN? : A BAYESIAN APPROACH TO ESTIMATE AGENCY COST FOR FIRMS CLASSIFIED BY SIZE

We attempt to estimate a state space model of investment and borrowing in a Bayesian framework, and to extract the unobservable agency costs of Japanese firms, which we differentiate by firm size.Our estimates suggest that agency cost exhibited a declining trend in the late 1980s, which changed to an increasing trend in the 1990s. We pinned down the driving force of fluctuations in agency cost as the market value of land.Furthermore, we found that the investment and borrowing behavior of small firms was very much affected by their agency costs in the late 1980s and early 1990s. Our evidence suggests that imperfections in the capital market were important for small firms in Japan.
Moduli spaces and braid monodromy types of bidouble covers of the quadric

Bidouble covers $\pi : S \mapsto Q$ of the quadric Q are parametrized by connected families depending on four positive integers a,b,c,d. In the special case where b=d we call them abc-surfaces. Such a Galois covering $\pi$ admits a small perturbation yielding a general 4-tuple covering of Q with branch curve $\De$, and a natural Lefschetz fibration obtained from a small perturbation of the composition of $ \pi$ with the first projection. We prove a more general result implying that the braid monodromy factorization corresponding to $\De$ determines the three integers a,b,c in the case of abc-surfaces. We introduce a new method in order to distinguish factorizations which are not stably equivalent. This result is in sharp contrast with a previous result of the first and third author, showing that the mapping class group factorizations corresponding to the respective natural Lefschetz pencils are equivalent for abc-surfaces with the same values of a+c, b. This result hints at the possibility that abc-surfaces with fixed values of a+c, b, although diffeomorphic but not deformation equivalent, might be not canonically symplectomorphic.
Development of the Effective Mentoring of Student Researchers Scale

Mentoring is a critical aspect of graduate education, but few studies have explored the mentoring behaviors that specifically contribute to effective mentoring, making it difficult to train mentors to behave in a way that optimally supports students’ development. The Effective Mentoring of Student Researchers Scale (EMSRS) was developed to identify graduate advisors’ key mentoring behaviors. The survey instrument was distributed to graduate students at a large Midwestern university, items were finalized using exploratory factor analysis (principal axis factoring with promax rotation), and confirmatory factor analysis was conducted to confirm the factor structure. We identified four components of effective mentoring, as follows: Engaged, Positive, Professional, and Present. Implications for training new mentors and improving the mentoring of graduate students are discussed. Disciplines Curriculum and Instruction | Educational Methods | Engineering Education Comments This proceeding is published as de la Mora, A. , Brandi N. Geisinger, Dan Li, D. Raj Raman, Mari Kemis. 2017. Development of the Effective Mentoring of Student Researchers Scale Paper. 2017 American Educational Research Association Annual Meeting. San Antonio, TX. April 27-May 1, 2017. DOI: 10.302/1181746. Posted with permission. This conference proceeding is available at Iowa State University Digital Repository: http://lib.dr.iastate.edu/abe_eng_conf/530 From the AERA Online Paper Repository http://www.aera. net/repository Paper Title Development of the Effective Mentoring of Student Researchers Scale Arlene de la Mora, Iowa State University; Brandi N Geisinger, Iowa State University; Dan Li, Iowa State University; D. Raj Raman, Iowa State University; Mari Kemis, Research Institute for Studies in Education Author(s) Understanding Access and Student Success in Graduate Education Session Title
Meta-Stable Conditions of Diffusion Brazing

A thermodynamic justiﬁcation for the joint formation is developed on the basis of the diﬀusion brazing of the Ni/Al/Ni system. The phenomena of dissolution and solidiﬁcation were included into the description. The ﬁrst solid/solid transformation is also discussed. Mainly, a description for the isothermal brazing occurrence in the meta-stable conditions is developed. It involves the application of the criterion of higher temperature of the solid / liquid (s/l) interface. The dissolution of the ﬁller metal in the substrate is described by the N 0 – solute concentration within the dissolution zone (liquid ﬁlm) distinguished at the substrate surface. The selection of the N 0 − parameter by the dissolution is justiﬁed by the Thermocalc calculation of the Ni-Al phase diagram for meta-stable equilibrium. According to the model assumptions, the solidiﬁcation is accompanied by partitioning or by undercooled peritectic reaction resulting in formation of the intermetallic phase. The average Al – solute concentration measured across some Al 3 Ni 2 /Al 3 Ni/Al 3 Ni 2 joints conﬁrms that the N 0 - solute concentration is conserved within the analyzed joint sub-layers. The Ni-Al phase diagram for meta-stable equilibrium referred to the solidiﬁcation is also calculated by means of the Thermocalc Software . It allows locating the solidiﬁcation path, s/l interface path and redistribution path onto the mentioned diagram. Superposition of both calculated phase diagrams is also given to show that the joint formation occurs cyclically under the meta-stable conditions. odniesiony do krystalizacji. Wykorzystano ponownie program Thermocalc Software. Pozwoliło to na zlokalizowanie ścieżki krystalizacji, ścieżki krystalizacji, ścieżki redystrybucji na diagramie fazowym równowagi metastabilnej. Superpozycja obydwu ob-liczonych diagramów jest także pokazana celem zilustrowania, iż formowanie się złącza zachodzi cyklicznie w obserwowanych warunkach metastabilnych.
Empowering Beginning Student Teachers: Implications for Teacher Educators.

Empowerment implies that student teachers become more confident and autonomous learners, with more responsibility for, and control over, their learning. Traditionally, student teachers have been a disempowered group, as teacher educators have tended to emphasize the voice of experts rather than novices and the voice of theory rather than practice. Twelve student teachers in the Bachelor of Education (Early Childhood) program at Macquarie University (New South Wales, Australia) described reactions to the first year of their preservice program. Reactions were analyzed using M. Belenky et al.'s metaphor of voice as an indicator of empowerment, with five broad epistemological perspectives: silence (denial of voice), received knowledge (reliance on voices of external authorities), subjective knowledge (tuning into one's intuitive voice), procedural knowledge (faith in the voice of reason), and constructed knowledge (integration of voices). The voices of the student teachers varied enormously in their perception of their ability to take responsibility for their learning. These voices must be heard. Yet, simply listening will not be enough. Teacher educators must reconsider their practices in light of what student teachers are saying. Unless teacher educators are prepared to reconceptualize their roles and expectations, there is little likelihood that preservice programs will lead to development of autonomous, empowered, and reflective student teachers able to cope with the complexities of teaching. (Contains 34 references.) (JDD) *********************************************************************** Reproductions supplied by EDRS are the best that can be made from the original document. *********************************************************************** EMPOWERING BEGINNING STUnENT TEACHERS: IMPLICATIONS FOR TEACHER EDUCATORS Jennifer Sumsion Macquarie University Paper presented at the Annual Conference of the Australian Teacher Education Association, Brisbane, July 1994
Annotation of a Learner Corpus toward Development of an Error-cause Presenting Technique

Previous grammar checkers support learners’ writing by indicating errors and correct usages. However, until the lack of linguistic knowledge that caused the errors is corrected, similar errors will recur. This study developed a learner corpus by annotating tags for the causes of article errors, and analyzed the distribution of error-cause tags with the aim of developing a technique to provide feedback on the causes of grammatical errors. The results suggested the necessity to extend error-cause tags, and the preferable extension conditions based on writing type and proficiency level.
Cloud-Based Remote Venue Recommendation Framework

: Now a days, recommendation systems have seen outstanding evolution in the field of knowledge engineering. Most of the existing recommendation systems based their models on collaborative filtering approaches that make them simple to implement. Still, performance of most of the existing collaborative filtering. Based recommendation system suffers due to the challenges, like: (a) cold start, (b) data sparseness, and (c) scalability. But, recommendation problem is often characterized by the presence of many conflicting objectives or decision variables, such as users‟ preferences and venue closeness. In this work, introduced Cloud-based Bi-Objective Recommendation Framework (BORF) for mobile social networks. These utilizes multi-objective optimization approaches to generate personalized recommendations. To address the issues pertaining to cold start and data sparseness, the BORF performs data pre-processing by using the Hub-Average (HA) inference model. Moreover, the Weighted Sum Approach (WSA) is implemented for Pyramid Maintenance Algorithm (PMA) is applied for vector optimization to provide optimal suggestions to the users about a venue. The results of comprehensive experiments on a large area real dataset confirm the accuracy of the proposed recommendation framework. In the future, we would like to increase our work by incorporating more contextual data in the form of objective functions, such as the check-in time, users‟ profiles, and interests in our proposed framework. Moreover, we intend to integrate other concepts, such as machine learning, text mining, and artificial neural networks to refine our existing framework.
A motion-planning method for dexterous hand operating a tool based on bionic analysis

In order to meet the needs of robot’s operating tools for different types and sizes, the dexterous hand is studied by many scientific research institutions. However, the large number of joints in a dexterous hand leads to the difficulty of motion planning. Aiming at this problem, this paper proposes a planning method abased on BPNN inspired by human hands. Firstly, this paper analyses the structure and function of the human hand and summarizes its typical strategy of operation. Secondly, based on the manual operation strategy, the tools are classified according to the shape and the operation mode of the dexterous hand is presented. Thirdly, the BPNN is used to train the humanoid operation, and then output the operation plan. Finally, the simulating experiments of grasping simple tools and operating complex tools are made by MATLAB and ADAMS. The simulation verifies the effectiveness of this method.