Miracle-dz/UniFAR-FTUs huggingface dataset:
Too easy? The influence of task demands conveyed tacitly on prospective memory

Previous research suggests that when intentions are encoded, participants establish an attention allocation policy based on their metacognitive beliefs about how demanding it will be to fulfill the prospective memory (PM) task. We investigated whether tacit PM demands can influence judgments about the cognitive effort required for success, and, as a result, affect ongoing task interference and PM performance. Participants performed a lexical decision task in which a PM task of responding to animal words was embedded. PM demands were tacitly manipulated by presenting participants with either typical or atypical animal exemplars at both instructions and practice (low vs. high tacit demands, respectively). Crucially, objective PM task demands were the same for all participants as PM targets were always atypical animals. Tacit demands affected participants’ attention allocation policies such that task interference was greater for the high than low demands condition. Also, PM performance was reduced in the low relative to the high demands condition. Participants in the low demands condition who succeeded to the first target showed a subsequent increase in task interference, suggesting adjustment to the higher than expected demands. This study demonstrates that tacit information regarding the PM task can affect ongoing task processing as well as harm PM performance when actual demands are higher than expected. Furthermore, in line with the proposal that attention allocation is a dynamic and flexible process, we found evidence that PM task experience can trigger changes in ongoing task interference.
Designing Ontology Schema and Data Instance for Nutrition Domain

The web has become a main research area. There is a large amount of information available on the web that is to be discovered, shared and utilized. Most of the information available on the web is unstructured and hence cannot be understood by machines. Semantic web is a step forward in this direction where data can be understood by both humans and machines. By encouraging the inclusion of semantic content in web pages, the Semantic Web aims at converting the current web dominated by unstructured and semi-structured documents into a "web of data". Ontology plays a critical role for the Semantic Web, and it is necessary to understand ontology in order to fully appreciate the idea of the Semantic Web. Ontology is defined as a common set of terms that are used to describe and represent a domain. It defines the terms used to describe and represent an area of knowledge. This paper explains in detail the development of ontology in the nutrition domain using Noy and McGuiness method.
Type synthesis of deployable/foldable articulated mechanisms

This work intends to deal with the type synthesis problem of deployable/foldable articulated mechanisms. The type synthesis in this kind of mechanism design can be factorized into two stages: the first stage is the topological synthesis of which the properties of mechanism are reflected by the graph; the second stage is the kinematic synthesis which aims at finding a set of mechanisms with the desired kinematic properties. According to the folded morphology, the compact form for deployable units are first classified into three categories: linear compact structure, planar compact structure and hybrid compact structure. Then we can enumerate the topological structures of these three categories and synthesize their combinations. Different from kinematic synthesis of general industrial robot which amounts to find the set of robotic mechanisms such that the end-effector of which has the desired mobility, the kinematic synthesis of deployable mechanism is to find out the set of mechanisms which can be folded onto the desired compact form in which the mechanism is taking up the minimum geometric volume. If a mechanism has at least one inverse solution to the desired compact form for the given set of parameters and there is finite mobility between the deployed and folded configurations, that is the mechanism we are looking for.
Local neutrality of Corporate Tax systems

This paper shows one important result, namely, that corporate tax systems that allow at least for two sources of investment tax deductions (e.g., accelerated arbitrary investment depreciation and deductibility of part of interest payments on the firm`s debt) can be, under certain plausible conditions, locally neutral. That is, they allow for the existence of at least one positive corporate tax rate that renders the user cost of capital equal to the undistorted (without taxes) level of this cost.
Sports and journalism ethics: the coverage of 2012 London Olympics in the British, North-American and Spanish press

Sports and journalism ethics: the coverage of 2012 London Olympics in the British, North-American and Spanish press is a research focused on analysing the treatment that the quality press of three countries (United Kingdom, United States of America and Spain) will carry out in the London Olympic Games. Through a solid methodological approach based on the combination of the qualitative content analysis and qualitative indepth interviews, the investigation will study if the media provide a quality coverage, that is, if they adequate their pieces to the fundamental principles of journalistic deontology (truth, justice, freedom and social responsibility). Furthermore, the research will assess if the selected media comply with the prescriptions established in the ethical codes, stylebooks, newsroom statutes and national and international recommendations about journalism ethics, ranging from each media’s guidelines to key transnational codes established by the UNESCO, the International Federation of Journalists (IFJ) or the Council of Europe.
The “ lost ” reading of control sentences and plural semantics in Glue Genady Beryozkin and

Introduction This work focuses on the derivation in the framework of LFG’s [10, 4, 7] Glue language [6, 5], of the meaning of functional control sentences in which the understood subject of the controlled complement is not one of the grammatical functions of the matrix sentence, but their combination, forming a plural entity. Such meaning can constitute the only meaning of the sentence, or an additional, “lost” up to now, reading, depending on the matrix verb. We propose extensions of the Glue semantics derivation, that allow simple derivations of the plural meaning in the context of propositional theory of control. We show how plural meanings are constructed from f-structure sets and how such sets are formed in control sentences. Such construction presents resource sensitivity issues, and we present an approach to handle them in the multiplicative fragment of Glue. Along the way, we propose an alternative approach to coordination, which solves some of the problems involved in coordination of multiple (three or more) elements.
Demo abstract: Radio-diversity collection tree protocol

We demonstrate how the communication reliability in a sensor network (end-to-end delivery ratio and network stability) can be improved by exploiting transceiver diversity. A new sensor platform, Opal, which features a dual radio configuration working in the 900 MHz and 2.4 GHz band, but driven by a single micro-controller is the basis of the demonstration. A new dual radio collection tree protocol network architecture is designed to provide a transparent communication stack to the upper layer users in TinyOS.
Applying the Broadway Recommendation Computation Approach for Implementing a Query Reenement Service in the Cbkb Meta Search Engine

This work reports on the applicability of the Broadway recommendation computation approach for implementing a query reenement (QR) service in the context of a distributed information retrieval and gathering system. The Broadway recommendation approach is based on the following hypothesis: recommend to one user items or actions that have satissed users that have behaved similarly to her/him. The case-based reasoning (CBR) paradigm is proposed to design Broadway-based recommenders. The design of such recommenders is facilitated by the use of the indexing scheme with time-extended situation of CBR*Tools, a CBR framework developped at INRIA; a crucial feature for enabling modeling and comparing users behaviors. We show how to integrate a query reenement recommender in the context CBKB, a meta-search engine developped at XRCE.
Rehires and Unemployment Duration in the Swedish Labour Market - New Evidence of Temporary Layoffs

The paper investigates temporary layoffs in the Swedish labour market. Previous reports of few temporary layoffs are rejected. About 45 percent of unemployed people who found a job returned to a previous employer. As a stock measure, 10 percent of the unemployed are on temporary layoff. Using new job and recall as distinct exits in a competing risks model, one cannot reject a horizontal duration dependence for new jobs, while the recall hazard shows a strong, negative duration dependence. Clearer predictions of the effect of education on job probabilities are also found. Further, the results probably have implications for the interpretation of several policy parameters, including labour market programme outcomes.
Reducing Coherence Overheads with Multi-line Invalidation (MLI) Messages

Most multiprocessors employ coherent caches despite the overheads of doing so. As future processors will be multiprocessors with elaborate cache hierarchies, the overheads of cache coherence will be an important area for efficiency improvements. This paper proposes a novel technique, called Multi-Line Invalidation (MLI) messages, to reduce an important aspect of coherence overhead—the invalidation traffic—by combining multiple traditional (single-line) invalidation messages into a single message. MLI messages can be used alongside any traditional coherence protocols. Two empirical phenomena—the coarse-grain nature of data sharing and the trend towards programs that are free of data races—enhance the utility of MLI messages. This paper illustrates how MLI messages could be constructed and deployed alongside an existing coherence protocol. It then presents an evaluation of their effectiveness in reducing the number of invalidation messages for several benchmark programs. We find that in several cases a significant reduction in the overall address network traffic and energy consumption could be achieved without performance degradation.
Numerical model of influence of external electric loading on electro-elastic field in ferroelectrics

A mathematical modeling of behavior of possible proposed ferroelectric structures exposed various external loading can usefully support the design of real ferroelectric devices. The paper presents our numerical model of ferroelectric crystal specimen. The proposed model considers a ferroelectric crystal with an internal domain structure. The model is based on physical description that includes linear electro-elastic state equations, Newton's Iaw and Gauss law, which are completed by the possible boundary conditions reflecting the concrete external loading. The numerical method used for the formulation and approximation of the model keeps mixed-hybrid finite element method approach. The used method leads to a large system of algebraic equation. The development of our own software tool enables determination of special needs. The paper includes description of physical basis of the problem description of considered sample geometry and possible boundary conditions. Further the mixed-hybrid approximation approach and some results acquired as outputs of implemented model are introduced.
A COMPREHENSIVE X-RAY AND MULTIWAVELENGTH STUDY OF THE COLLIDING GALAXY PAIR NGC 2207/IC 2163

We present a comprehensive study of the total X-ray emission from the colliding galaxy pair NGC 2207/IC 2163, based on Chandra, Spitzer, and GALEX data. We detect 28 ultraluminous X-ray sources (ULXs), 7 of which were not detected previously because of X-ray variability. Twelve sources show significant long-term variability, with no correlated spectral changes. Seven sources are transient candidates. One ULX coincides with an extremely blue star cluster (B − V = −0.7). We confirm that the global relation between the number and luminosity of ULXs and the integrated star-formation rate (SFR) of the host galaxy also holds on local scales. We investigate the effects of dust extinction and age on the X-ray binary (XRB) population on subgalactic scales. The distributions of NX and LX are peaked at LIR/LNUV ∼ 1, which may be associated with an age of ∼10 Myr for the underlying stellar population. We find that approximately one-third of the XRBs are located in close proximity to young star complexes. The luminosity function of the XRBs is consistent with that typical for high-mass XRBs and appears unaffected by variability. We disentangle and compare the X-ray diffuse spectrum with that of the bright XRBs. The hot interstellar medium dominates the diffuse X-ray emission at E ≲ 1 keV and has a temperature keV and intrinsic 0.5–2 keV luminosity of , a factor of ∼2.3 higher than the average thermal luminosity produced per unit SFR in local star-forming galaxies. The total X-ray output of NGC 2207/IC 2163 is , and the corresponding total integrated SFR is 23.7 M☉ yr−1.
The prevalence of pituitary adenomas

Pituitary adenomas display an array of hormonal and proliferative activity. Once primarily classified according to size (microadenomas, < 1 cm; macroadenomas, ≥ 1 cm), these tumors are now further classified according to immunohistochemistry and functional status. With these additional classifications in mind, the goals of the current study were to determine the prevalence of pituitary adenomas and to explore the clinical relevance of the findings.
Stability analysis of dynamic quantized feedback system with packet loss

This article is concerned with stability analysis of a linear discrete-time dynamic quantizer system with packet loss. First, several modifications are made to the original dynamic quantizer to make it easier to realize. Then communication channel subject to packet loss of Bernoulli distribution from the quantizer to the plant input is considered. Moreover, based on Lyapunov function approach, a sufficient condition for mean square stability of the closed-loop system is derived. Finally, a numerical simulation is given for effectiveness of the proposed method.
Learning of Generalized Low-Rank Models: A Greedy Approach

Learning of low-rank matrices is fundamental to many machine learning applications. A state-of-the-art algorithm is the rank-one matrix pursuit (R1MP). However, it can only be used in matrix completion problems with the square loss. In this paper, we develop a more flexible greedy algorithm for generalized low-rank models whose optimization objective can be smooth or nonsmooth, general convex or strongly convex. The proposed algorithm has low per-iteration time complexity and fast convergence rate. Experimental results show that it is much faster than the state-of-the-art, with comparable or even better prediction performance.
The Research Status Quo and Consideration of Industrial Parks' Ecological Transformation

It is the only way for Chinapsilas construction of environment-friendly and energy- and resource-efficient society that economic and technological development zones, high-tech industrial parks try to establish recycling-based economic model of special symbiotic cluster networks for manufacturers through the ecological transformation. General theories of eco-industrial parks, feasibility analysis of ecological transformation, ecological rehabilitation programmers and models of traditional industrial parkspsila ecological transformation have been focused on by experts at home and abroad. Based on Small-World and Scale-Free Network technologies, Ecological transformation will provide effective supports with which accelerate the process of transformation. As eco-industrial parks have significant characteristics for reduction of environmental pollution, energy conservation and resource saving, these profitspsila beneficiaries are people of ultra community, who should compensate for these gaining from eco-industrial parks. However, being these acts clearly inoperable, the responsibility of compensation for profits expectations need be charged with representatives of theirs. Governments are the best representatives.
Maximum Likelihood Estimation for a Parametric Dispersal Model for Haploid Organisms Technical Report # 362

Understanding the fine scale genetic structure of a population is important in conservation genetics, ecology, and gauging the impact of the release of genetically engineered or non-native organisms. One of the important factors contributing to this genetic structure is dispersal: how far and in what direction does an individual travel between its birth and the time it reproduces? I present a method for inferring the maximum likelihood estimate of a parametric distribution for this distance in a discrete generation haploid population, using genetic data and binned spatial information at two consecutive generations. Likelihoods are obtained by using Monte Carlo methods to approximate a sum over a large number of discrete latent variables. I examine the effects on inference of bin size, initial population configuration, and offspring distribution. Initial population configuration in particular plays a large role in how much information a data set provides. ∗Supported by a National Science Foundation Graduate Research Fellowship
Data-Driven Alibi Story Telling for Social Believability

As computer games adopt larger, more life-like virtual worlds, socially believable characters become progressively more important. Socially believable non-player characters (NPCs) must be able to act in social situations and communicate with human players. In this paper, we address one aspect of social believability: the construction and telling of alibi stories, or an artificial background that explains what a character has been doing while not in the presence of the human player. We describe a technique for generating alibi stories and communicating the alibi stories via natural language. Our approach uses machine learning to overcome knowledge engineering bottlenecks necessary to instill intelligent characters with social behavioral knowledge. Alibi stories are subsequently generated from learned social behavioral knowledge. By leveraging the Google N-Gram Corpus and Project Gutenberg books, natural language is generated with a discourse planner and text generation that incorporate different expressivity and sentiment, which can be employed to create NPCs with a variety of personal traits.
The Information Systems Group at HPI

The Hasso Plattner Institute (HPI) is a private computer science institute funded by the eponymous SAP co-founder. It is affiliated with the University of Potsdam in Germany and is dedicated to research and teaching, awarding B.Sc., M.Sc., and Ph.D. degrees. The Information Systems group was founded in 2006, currently has around ten Ph.D. students and about 15 masters students actively involved in our research activities. Our initial and still ongoing research focus has been the area of data cleansing and duplicate detection. More recently we have become active in the area of text mining to extract structured information from text, and even more recently in data profiling, i.e., the task of discovering various metadata and dependencies from a data instance.
Primitive Membrane Formation, Characteristics and Roles in the Emergent Properties of a Protocell

All contemporary living cells are composed of a collection of self-assembled molecular elements that by themselves are non-living but through the creation of a network exhibit the emergent properties of self-maintenance, self-reproduction, and evolution. This short review deals with the on-going research that aims at either understanding how life emerged on the early Earth or creating artificial cells assembled from a collection of small chemicals. In particular, this article focuses on the work carried out to investigate how self-assembled compartments, such as amphiphile and lipid vesicles, contribute to the emergent properties as part of a greater system.
Buffered compares: Excavating the hidden parallelism inside DRAM architectures with lightweight logic

We propose an approach called buffered compares, a less-invasive processing-in-memory solution that can be used with existing processor memory interfaces such as DDR3/4 with minimal changes. The approach is based on the observation that multi-bank architecture, a key feature of modern main memory DRAM devices, can be used to provide huge internal bandwidth without any major modification. We place a small buffer and a simple ALU per bank, define a set of new DRAM commands to fill the buffer and feed data to the ALU, and return the result for a set of commands (not for each command) to the host memory controller. By exploiting the under-utilized internal bandwidth using `compare-n-op' operations, which are frequently used in many applications, we not only reduce the amount of energy-inefficient processor-memory communication, but also accelerate the computation of big data processing applications by utilizing parallelism of the buffered compare units in DRAM banks. Experimental results show that our solution significantly improves the performance and efficiency of the system on the tested workloads.
Assessing Estimators of Snow Leopard Abundance

Abstract The secretive nature of snow leopards (Uncia uncia) makes them difficult to monitor, yet conservation efforts require accurate and precise methods to estimate abundance. We assessed accuracy of Snow Leopard Information Management System (SLIMS) sign surveys by comparing them with 4 methods for estimating snow leopard abundance: predator:prey biomass ratios, capture–recapture density estimation, photo-capture rate, and individual identification through genetic analysis. We recorded snow leopard sign during standardized surveys in the SaryChat Zapovednik, the Jangart hunting reserve, and the Tomur Strictly Protected Area, in the Tien Shan Mountains of Kyrgyzstan and China. During June–December 2005, adjusted sign averaged 46.3 (SaryChat), 94.6 (Jangart), and 150.8 (Tomur) occurrences/km. We used counts of ibex (Capra ibex) and argali (Ovis ammon) to estimate available prey biomass and subsequent potential snow leopard densities of 8.7 (SaryChat), 1.0 (Jangart), and 1.1 (Tomur) snow leopards/100 km2. Photo capture–recapture density estimates were 0.15 (n = 1 identified individual/1 photo), 0.87 (n = 4/13), and 0.74 (n = 5/6) individuals/100 km2 in SaryChat, Jangart, and Tomur, respectively. Photo-capture rates (photos/100 trap-nights) were 0.09 (SaryChat), 0.93 (Jangart), and 2.37 (Tomur). Genetic analysis of snow leopard fecal samples provided minimum population sizes of 3 (SaryChat), 5 (Jangart), and 9 (Tomur) snow leopards. These results suggest SLIMS sign surveys may be affected by observer bias and environmental variance. However, when such bias and variation are accounted for, sign surveys indicate relative abundances similar to photo rates and genetic individual identification results. Density or abundance estimates based on capture–recapture or ungulate biomass did not agree with other indices of abundance. Confidence in estimated densities, or even detection of significant changes in abundance of snow leopard, will require more effort and better documentation.
Best of both: a hybridized centroid-medoid clustering heuristic

Although each iteration of the popular k-Means clustering heuristic scales well to larger problem sizes, it often requires an unacceptably-high number of iterations to converge to a solution. This paper introduces an enhancement of k-Means in which local search is used to accelerate convergence without greatly increasing the average computational cost of the iterations. The local search involves a carefully-controlled number of swap operations resembling those of the more robust k-Medoids clustering heuristic. We show empirically that the proposed method improves convergence results when compared to standard k-Means.