Miracle-dz/UniFAR-FTUs huggingface dataset:
A Study of Academic Collaborations in Computational Linguistics using a Latent Mixture of Authors Model

Academic collaboration has often been at the forefront of scientific progress, whether amongst prominent established researchers, or between students and advisors. We suggest a theory of the different types of academic collaboration, and use topic models to computationally identify these in Computational Linguistics literature. A set of author-specific topics are learnt over the ACL corpus, which ranges from 1965 to 2009. The models are trained on a per year basis, whereby only papers published up until a given year are used to learn that year's author topics. To determine the collaborative properties of papers, we use, as a metric, a function of the cosine similarity score between a paper's term vector and each author's topic signature in the year preceding the paper's publication. We apply this metric to examine questions on the nature of collaborations in Computational Linguistics research, finding that significant variations exist in the way people collaborate within different sub-fields.
The Persistent Maladaptation of Pieris macdunnoughii : Constraints on Adaptation to an Evolutionary Trap

With rapid environmental change, organisms may begin to use novel, low-quality or even lethal resources based on previously reliable cues, resulting in evolutionary traps. Persistence of such maladaptive interactions depends not only on how individuals locate important resources, such as host plants, but also the mechanisms underlying poor performance. Pieris macdunnoughii (Remington) (Lepidoptera: Pieridae) lays eggs on a non-native mustard, Thlaspi arvense (L.) (Brassicaceae), which is lethal to its larvae. Yet, in the 150 years since T. arvense invaded, this butterfly continues to recognize and oviposit on the invasive mustard. I evaluated two possible constraints on evolution of decreased preference within an invaded population. First, an evolutionary response to selection may be constrained by low heritable genetic variation for preference. Second, evolutionary traps are expected to persist when overlapping cue sets link decreased preference for the unsuitable plant with decreased preference for historical, high-quality resources. I determined that while preference for the nonnative host over the native host is heritable, sex-linked, and varies considerably in the population, it is unlikely that this preference is correlated with preference for native hosts with similar defensive chemical profiles. Thus, neither a lack of heritable genetic variation nor an increased risk of excluding good host plants when avoiding T. arvense are likely to be constraining escape from this evolutionary trap. Instead, our results suggest behavioral plasticity may buffer populations from innate preference for the lethal host. Finally, I tested the mechanisms underlying poor performance of neonate larvae on the novel host. The success of invasive plants is often attributed to novel toxins, but larvae were less likely to start eating T. arvense and starvation was a primary cause of mortality, indicating a preingestive feeding deterrent. A primary oviposition stimulant, the glucosinolate sinigrin, increased this deterrent effect and mortality when added to T. arvense and native host plant leaves. Pre-ingestive deterrents, even those familiar to herbivorous insects, may significantly contribute to the persistence of evolutionary traps.
A Metrics-Based Approach to Technical Documentation Quality

Technical documentation is now fully taking the step from stale printed booklets (or electronic versions of these) to interactive and online versions. This provides opportunities to reconsider how we define and assess the quality of technical documentation. This paper suggests an approach based on the Goal-Question-Metric paradigm: predefined quality goals are continuously assessed and visualized by the use of metrics. To test this approach, we perform two experiments. We adopt well known software analysis techniques, e.g., clone detection and test coverage analysis, and assess the quality of two real world documentations, that of a mobile phone and of (parts of) a warship. The experiments show that quality issues can be identified and that the approach is promising.
Particle filter based on multi-window

A novel particle filter based on multi-window is proposed for target tracking, which represents the tracking target with several windows that each one corresponds with a particle filter. Because tracking performance is usually influenced by factors such as camera angle, illumination. Meanwhile the target may be occluded by obstacles in the clutter background or be occluded by other target. A multi-window particle filter tracking method is proposed. And the multi-window may overlap or contain the scene around the target. In the tracking process, the different particles have different tracking cues of the targets. In the novel algorithm, through the spatial relation of the non-overlap windows and overlap windows, the spatial configuration of the tracking target is included and considered. All particle filter trackers are used to estimate the target status parameters. Using this algorithm, we can overcome the tracking failure because of the object spatial features considered. And experiment results clearly demonstrate the effectiveness of the novel method on illumination influence or self-occlusion problem in a complex background.
The role of artificial intelligence techniques in training software

Different motivations led scientists to apply artificial intelligence (AI) techniques to educational software and training software. On one hand, courseware developers were seeking for more powerful techniques for building systems. On the other hand, researchers in computer science and in cognitive psychology found an opportunity to develop and test new techniques or new theoretical models. This second line has probably been the most influential during the eighties. It led to major scientific contributions. For instance, designers transformed the expert system design to develop systems which fulfil the educational functions (explanation, diagnosis, .) expected in a training software. This work contributed to the elicitation of strategic levels in expertise (Clancey, 1987) and, later, to the emergence of second generation expert systems (Steels, 1990). In others words, research on educational applications helped to develop the methodology for analyzing expertise (knowledge engineering). Similar contributions have been produced in cognitive psychology. The work on learner modelling (trying to infer what the learner knows or misunderstands) has been central to the formalisation and evaluation of cognitive models (Anderson et al, 1989).
SPOT

Optimal transport research has surged in the last decade with wide applications in computer graphics. In most cases, however, it has focused on the special case of the so-called "balanced" optimal transport problem, that is, the problem of optimally matching positive measures of equal total mass. While this approach is suitable for handling probability distributions as their total mass is always equal to one, it precludes other applications manipulating disparate measures. Our paper proposes a fast approach to the optimal transport of constant distributions supported on point sets of different cardinality via one-dimensional slices. This leads to one-dimensional partial assignment problems akin to alignment problems encountered in genomics or text comparison. Contrary to one-dimensional balanced optimal transport that leads to a trivial linear-time algorithm, such partial optimal transport, even in 1-d, has not seen any closed-form solution nor very efficient algorithms to date. We provide the first efficient 1-d partial optimal transport solver. Along with a quasilinear time problem decomposition algorithm, it solves 1-d assignment problems consisting of up to millions of Dirac distributions within fractions of a second in parallel. We handle higher dimensional problems via a slicing approach, and further extend the popular iterative closest point algorithm using optimal transport - an algorithm we call Fast Iterative Sliced Transport. We illustrate our method on computer graphics applications such a color transfer and point cloud registration.
HPC Performance and Energy-Efficiency of the OpenStack Cloud Middleware

Since its advent in the middle of the 2000's, the Cloud Computing (CC) paradigm is increasingly advertised as THE solution to most IT problems. While High Performance Computing (HPC) centers continuously evolve to provide more computing power to their users, several voices (most probably commercial ones) emit the wish that CC platforms could also serve HPC needs and eventually replace in-house HPC platforms. However, it is still unclear whether the overhead induced by the virtualization layer at the heart of every Cloud middleware suits an environment as high-demanding as an HPC platform. In parallel, with a growing concern for the considerable energy consumed by HPC platforms and data centers, research efforts are targeting green approaches with higher energy efficiency. At this level, virtualization is also emerging as the prominent approach to reduce the energy consumed by consolidating multiple running VM instances on a single server, thus giving credit towards a Cloud-based approach. In this paper, we analyze from an HPC perspective the performance and the energy efficiency of the leading open source Cloud middleware, OpenStack, when compared to a bare-metal (i.e. native) configuration. The conducted experiments were performed on top of the Grid'5000 platform with benchmarking tools that reflect "regular" HPC workloads, i.e. HPCC (which includes the reference HPL bench-mark) and Graph500. Power measurements were also performed in order to quantify the potential energy efficiency of the tested configurations, using the approaches proposed in the Green500 and GreenGraph500 projects. In order to abstract from the specifics of a single architecture, the benchmarks were run using two different hardware configurations, based on Intel and AMD processors. This work extends previous studies dedicated to the evaluation of hypervisors against HPC workloads. The results of this study pleads for in-house HPC platforms running without any virtualized frameworks, assessing that the current implementation of Cloud middleware is not well adapted to the execution of HPC applications.
Using alternative forages on traditional small grain crop land in rotational grazing systems for the Northern Great Plainsa

This is a new 2-year project funded by North Central Region (NCR) Sustainable Agriculture Research and Education (SARE). Crop selection for producers in the Northern Great Plains is environmentally limited due to low annual precipitation, seasonal precipitation patterns and a relatively short growing season. These same problems limit the length of time that high quality forage is available from perennial pastures and native range. Integrating crop and livestock enterprises using late summer forage production could be mutually beneficial. Forage consumption by livestock could create a marketable commodity for crop producers without having to let the crop develop seed. Selecting warm season or long season crops would provide high quality forage in late summer when the nutritional quality of perennial forage typically limits livestock production. The results of this study will determine the economic feasibility of producing summer forage for grazing or haying in the Northern Great Plains. Positive results would increase the amount of quality forage that could be available to support livestock production, while expanding the number of crops available for use in developing economically, as well as environmentally, sustainable crop rotations.
Hybrid Natural Language Processing in a Customer-Care Environment

CyMON is an industrial platform for one-to-one customer care applications. It compromises facilities to implement user-friendly websites with an emotional, learning interface. The CyMON Natural Language Processing Engine can understand written input and react accordingly. It is based on hybrid linguistic and statistical algorithms to analyze natural language input. Each sentence is assigned an appropriate contextualized meaning representation. This paper describes the results of an evaluation of basic pattern matching techniques and argues in favor of their augmentation with more sophisticated models taken from linguistics and statistics. The natural language processing techniques applied in CyMON are described in detail. An overview of related work is provided.
MEASURING EFFICIENCY OF TEACHING PROCESS AND FACULTY IN TRANSITION STATES USING DEA ANALYSIS

Original scientific paper The aim of this study is to examine the relative efficiency of the teaching process (study) at the largest faculty in Serbia based on enveloped data (DEA analysis). The analysis was conducted in the 2013/14 academic year and includes 863 graduate students who have completed their studies in 13 academic programs. Input variables used in this analysis were the average secondary school grade and the number of scores earned on the entrance exam, while the output variables were the average grade achieved during the study and the length of study. Our approach integrates the DEA (Data Envelopment Analysis) approach and the statistical analysis of variance with the aim of developing an expanded model for measuring the efficiency of the teaching process. Measurements of efficiency of higher education institutions will be presented using the DEA analysis in measuring the efficiency of each student individually and measuring the efficiency of students of specific study programs or faculties. Efficiency of studying which is measured for each student individually is over 70%, while the efficiency of study programs is over 85%. The efficiency of studying was measured on the example of a faculty consisting of 13 departments and 17 study programs of basic academic studies. As per the law there are no integrated universities in the Republic of Serbia but each faculty is a separate institution, each department of the Faculty of Technical Sciences can be considered a separate faculty, while the faculty itself can be considered a university. Thus, this analysis can describe the measurement of efficiency of the university.
Data Modeling of Wf-XML Resource Model for Run-time Integration of Game Workflow Engine

A series of business process in which customers, suppliers , business partners cooperate one another and share information can be frequently found in e-commerce. Wf-XML(workflow-XML) is the language defining XMLbased protocol suggested for the mutual interoperability of workflow engine, as an asynchronous web service protocol. The paper suggests the model facilitating business partners to comprehend the workflow for their interoperability and cooperation by modeling the resource model provided by Wf-XML through UML diagram in order to interoperability different workflow engines. For this, this paper defines the mapping rule to convert Wf-XML document to UML class diagram and collaboration diagram, and suggests a technique to model each entity of Wf-XML resource model to a class diagram and the interaction between entities to a collaboration diagram.
A NEW SPECIES OF CATFISH ( TELEOSTEI : CLARIIDAE ) FROM PULAU TIOMAN , PENINSULAR MALAYSIA

Clrrrias bntu, new species, is described from freshwater streams on Pulau Tionian off the east coast of Pahang. Peninsular Malaysia. It is distinguished from its congeners by the following suite of characters: elongated body (body depth at anus 9.0-1 1.4 C/c standard length), caudal fin completely separate from the dorsal and anal fins. distance between occipital process and dorsal origin 9.91 1.8 % standard length, and body in life dark greyish-brown above with about 9-11 vertical rows of relatively sparse arrangement of small, well-spaced. cream-coloured spots above thc lateral line.
Lisboa Hotel Lisbon , Portugal THERMAL HYDRAULIC DESIGN VERIFICATION OF LEU PLATES IRRADIATION IN RESEARCH REACTOR CORE

Egypt Second Research Reactor (ETRR-2) core was modified to irradiate LEU (Low Enriched Uranium) plates in two irradiation boxes for fission 99 Mo production. The in core irradiation has the advantage of using the existing cooling system i.e. no special cooling or irradiation loop is required. Verification of steady state thermal hydraulic design of LEU plates irradiation in ETRR-2 core has been carried out. PARET code and standard correlations were used to calculate various parameters, which include temperature distribution in the core, saturation temperature and Onset of Nucleate Boiling (ONB) temperature, and margins to flow Redistribution (RD), and Departure from Nucleate Boiling (DNB). The calculated parameters are compared with those obtained using TERMIC code and the two results are found in good agreement. The obtained results show that the LEU plates can be irradiated safely in the modified core at a power level of 22 MW without compromising on safety. The results are presented and discussed for the possible LEU plates loading positions in the irradiation boxes.
AFRL-RZ-WP-TP-2012-0199 INVESTIGATION OF OPTICAL FIBERS FOR COHERENT ANTI-STOKES RAMAN SCATTERING ( CARS ) SPECTROSCOPY IN REACTING FLOWS ( POSTPRINT )

The objective of this work is to investigate the feasibility of intense laser-beam propagation through optical fibers for temperature and species concentration measurements in gas-phase reacting flows using coherent anti-Stokes Raman scattering (CARS) spectroscopy. In particular, damage thresholds of fibers, nonlinear effects during beam propagation, and beam quality at the output of the fibers are studied for the propagation of nanosecond (ns) and picosecond (ps) laser beams. It is observed that ps pulses are better suited for fiber-based nonlinear optical spectroscopic techniques, which generally depend on laser irradiance rather than fluence. A ps fiber-coupled CARS system using multimode step-index fibers is developed. Temperature measurements using this system are demonstrated in an atmospheric pressure, near-adiabatic laboratory flame. Proof-of-concept measurements show significant promise for fiber-based CARS spectroscopy in harsh combustion environments. Furthermore, since ps-CARS spectroscopy allows the suppression of non-resonant background, this technique could be utilized for improving the sensitivity and accuracy of CARS thermometry in high-pressure hydrocarbon-fueled combustors.
A hierarchical shape tree for shape classification

This paper presents a novel approach to hierarchical shape classification. We combine two shape features: contour and skeleton. Weights of two features are learned through large-margin optimization. The proposed approach uses a shape tree to efficiently represent the similarity of different shape classes. The tree is generated offline by a bottom-up clustering approach using stochastic optimization. A coarse-to-fine matching strategy is adopted to have a high classification accuracy. Bayesian classifier is used to perform the final decision. The proposed method was tested in a variety of challenging shape datasets. The results show great improvement over many previous algorithms.
Characterization Of Best Approximation Of Closed Convex Subsets In C b ( X , Y ) ∗

The purpose of this paper is to prove various Kolmogorov type criteria for Cb(X,Y ), the space of bounded continuous functions supplied with the sup-norm from a topological space X into a Banach space Y . We introduce the maximumnumerical range f with respect to g for each f, g to characterize best approximation points in closed convex subsets of Cb(X,Y ).
Lane detection based on random hough transform on region of interesting

In order to improve computational speed of the lane detection, we proposes a new road edge algorithm. The innovation of this algorithm is that it combined with ideas region of interesting (ROI) and random Hough transform (RHT). In this paper we proposed some constraints on the road model, making the algorithm with a high anti-interference performance. The algorithm consists of the initial road edge detection and the follow-up tracking of road borders. In the initial edge detection we used the Hough transform; in the path tracking we used RHT on the ROI to improve computing speed.
Tilburg University The dual pathway model of overeating

van Strien et al. [van Strien, T. , Engels, R. C. M. E. , van Leeuwe, J., Snoek, H. M. (2005). The Stice model of overeating: tests in clinical and non-clinical samples. Appetite, 45, 205–213] extended the negative affect pathway of Stice’s dual pathway model of overeating Stice [Stice, E. (1994). Review of the evidence for a sociocultural model of bulimia nervosa and an exploration of the mechanisms of action. Clinical Psychology Review, 14(7), 633–661] successfully with the variables lack of interoceptive awareness and emotional eating. This study aimed to replicate these findings in a sample of female college students with food consumption as the measure for overeating. Structural equation modeling was used to test the original and the extended model and both models fitted. In the extended model, the relation between negative affect and consumption seemed to run only via lack of interoceptive awareness and emotional eating. 2008 Elsevier Ltd. All rights reserved.
The challenge of sustainability of expanded programs on immunization *

1 This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs 3.0 IGO License, which permits use, distribution, and reproduction in any medium, provided the original work is properly cited. No modifications or commercial use of this article are permitted. In any reproduction of this article there should not be any suggestion that PAHO or this article endorse any specific organization or products. The use of the PAHO logo is not permitted. This notice should be preserved along with the article’s original URL. The challenge of sustainability of expanded programs on immunization*
Geologic map of The Narrows 71⁄2' Quadrangle and the southern part of the Rincon Peak 71⁄2' Quadrangle, eastern Pima County, Arizona

Research partially supported by the U.S. Geological Survey, National Cooperative Geologic Mapping Program, under USGS award number #00HQAG0149. The views and conclusions contained in this document are those of the authors and should not be interpreted as necessarily representing the official policies, either expressed or implied, of the U.S. Government. Geologic map of The Narrows 71⁄2' Quadrangle and the southern part of the Rincon Peak 71⁄2' Quadrangle, eastern Pima County, Arizona