Miracle-dz/UniFAR-FTUs huggingface dataset:
The Influence of Nonconscious and Conscious Goals on Impression Formation

THE INFLUENCE OF NONCONSCIOUS AND CONSCIOUS GOALS ON IMPRESSION FORMATION by Amanda M. Johnston Previous research has demonstrated that nonconscious and conscious goals are more similar than different. Research has also demonstrated that active goals influence various processes and outcomes: accessibility of constructs, evaluations of goal-related objects, and information recall. The present research was designed to demonstrate that goals would be best considered in a dualprocess framework, with nonconscious and conscious processes being identified as having different precursors and outcomes. The research examined how the impressions of an individual are influenced by the simultaneous possession of a nonconscious and conscious goal. It was predicted that implicit and explicit evaluations of the individual would vary based on the activated goals; however, the results were inconclusive. Limitations of the research, as well as proposed future directions, are discussed in terms of a dual-process model of goals. THE INFLUENCE OF NONCONSCIOUS AND CONSCIOUS GOALS ON IMPRESSION FORMATION
Grey Is the New Black: Advancing Understanding of New Organizational Forms and Blurring Sector Boundaries in Sport Management

Katie E. Misener is with the Department of Recreation and Leisure Studies, University of Waterloo, Waterloo, ON, Canada. Laura Misener is with the School of Kinesiology, Western University, London, ON, Canada. Address author correspondence to Katie Misener at k.misener@uwaterloo.ca and Laura Misener at Laura.misener@uwo.ca. Grey Is the New Black: Advancing Understanding of New Organizational Forms and Blurring Sector Boundaries in Sport Management
BCMI-NLP Labeled-Alignment-Based Entailment System for NTCIR-10 RITE-2 Task

In this paper, we propose a labeled-alignment-based RTE method to approach the simplified Chinese textual entailment track in the NTCIR-10 RITE-2 task. The labeled alignment, compared with the normal alignment, employs negative links to explicitly mark the contradictory expressions between the two sentences to justify the non-entailment pairs. Therefore, the corresponding alignment-based RTE method can gain accuracy improvement through actively detecting the signals of non-entailment. The performance of the proposed method in the formal run achieves MacroF1’s of 73.84%, 56.82%, and Worse Ranking (R) of 8.00% for the simplified Chinese subtasks of Binary Class (BC), MultiClass (MC) and RITE for Question Answering (RITE4QA), respectively.
Effects of drought ? altered seasonality and low rainfall ? in net ecosystem carbon exchange of three contrasting Mediterranean ecosystems

Droughts cause reductions in gross primary production (GPP) and also in net ecosystem exchange (NEE), contributing to most of the inter-annual variability in terrestrial carbon sequestration. In seasonally dry climates (Mediterranean) droughts result from reductions in annual rainfall and from changes in rain seasonality. In western Iberia, the hydrological-year (i.e., from October to September) of 2004? 2005 was extremely dry, with precipitation 50% below the long-term mean (691 mm in 1961? 1990), but 2005? 2006 was normal. We compared the carbon fluxes measured by the eddy covariance technique from three contrasting ecosystems in southern Portugal: an evergreen oak woodland (savannah-like) with ca. 21% tree cover; a Mediterranean C3/C4 grassland; and a coppiced eucalyptus plantation. During the dry hydrological-year of 2004? 2005, NEE was lowest, the highest sink strength was in the eucalypt plantation (NEE = ? 399 g C m ? 2 year? 1) as compared to the oak woodland (NEE = ? 88 g C m ? 2 year? 1), and the grassland (NEE = +49 g C m ? 2 year ? 1). The latter was a source of carbon dioxide. The NEE values of the dry year were, however, much lower than those for wetter years, e.g. NEE = ? 861 g C m? 2 year ? 1 in 2002? 2003 in the eucalypt plantation. The NEE of the grassland and the oak savannah in the 2005? 2006 hydrological-year, with annual precipitation above the long term mean, were ? 190 and ? 120 g C m ? 2 year? 1, respectively. All ecosystems studied increased their rain-use efficiency (GPP per unit of rain volume) increased in dry years. In the case of annual vegetation ? grassland and low tree density woodland, however &ndash, rain-use efficiency decreased with severe drought. However, this was more pronounced in the eucalypt plantation due to greater GPP and the use of deep soil water resources. Although both calendar years of 2004 and 2005 had equally low rainfall, the effect of drought on the eucalypt plantation was delayed until the second dry year. This suggests that the effects of water deficits on Mediterranean forests are exacerbated by prolonged droughts when long-term soil water reserves are depleted. The grassland, however, was more vulnerable and responded faster to water deficits. This effect of drought was less pronounced in the oak woodland due to the sparse tree cover.
N-ary Biographical Relation Extraction using Shortest Path Dependencies

Modern question answering and summarizing systems have motivated the need for complex n -ary relation extraction systems where the number of related entities ( n ) can be more than two. Shortest path dependency kernels have been proven to be effective in extracting binary relations. In this work, we propose a method that employs shortest path dependency based rules to extract complex n -ary relations without decomposing a sentence into constituent binary relations. With an aim of extracting biographical entities and relations from manually annotated datasets of Australian researchers and department seminar mails, we train an information extraction system which ﬁrst extracts entities using conditional random ﬁelds and then employs the shortest path dependency based rules along with semantic and syntactic features to extract n -ary afﬁliation relations using support vector machine. Cross validation of this method on the two datasets provides evidence that it outperforms the state-of-the-art n -ary relation extraction system by a margin of 8% F-score.
Optimal Distribution of the Nonoverlapping Conducting Disks

Conducting nonoverlapping identical disks are embedded in a two-dimensional background. The set of disks is infinite. The disks are distributed in such a way that the obtained composite is macroscopically isotropic. Let the conductivity of inclusions be higher than the conductivity of the matrix. It is proved that the hexagonal (triangular) lattice of disks possess the minimal effective conductivity when the concentration is not high.
An Environment Speci cation Language for Multi-Agent Systems

Multi-agent systems are employed to model complex systems, which can be decomposed into several interacting pieces called agents. In such systems, agents exist, evolve and interact within an environment. In this report we present a language for the speci cation of such environments. This Environment Speci cation Language (ESL), as we call it, de nes both structural and dynamic aspects of environments. Structurally, ESL connects agents by a social network, in which the link between agents is speci ed as the capability that one agent has to act upon another. Dynamically, ESL provides operations that can be composed together in order to create a number of di erent environmental situations and to respond appropriately to agents' actions. These features are founded on a mathematical model that we provide and that de nes rigorously what constitutes an environment. Formality is achieved by employing the πcalculus process algebra in order to give the semantics of this model. This allows, in particular, a simple characterization of the evolution of the environment structure. Moreover, owing to this formal semantics, it is possible to perform formal analyses on environments thus described. For the sake of illustration, a concrete example of environment speci cation using ESL is also given.
Epidemic information dissemination in distributed systems

Easy to deploy, robust, and highly resilient to failures, epidemic algorithms are a potentially effective mechanism for propagating information in large peer-to-peer systems deployed on Internet or ad hoc networks. It is possible to adjust the parameters of epidemic algorithm to achieve high reliability despite process crashes and disconnections, packet losses, and a dynamic network topology. Although researchers have used epidemic algorithms in applications such as failure detection, data aggregation, resource discovery and monitoring, and database replication, their general applicability to practical, Internet-wide systems remains open to question. We describe four key problems: membership maintenance, network awareness, buffer management, and message filtering, and suggest some preliminary approaches to address them.
Exo70 is transcriptionally up-regulated by hepatic nuclear factor 4α and contributes to cell cycle control in hepatoma cells

Exo70, a member of the exocyst complex, is involved in cell exocytosis, migration, invasion and autophagy. However, the expression regulation and function of Exo70 in hepatocellular carcinoma are still poorly understood. In this study, we found Exo70 expression in human hepatoma cells was greatly reduced after knocking down hepatic nuclear factor 4α (HNF4α), the most important and abundant transcription factor in liver. This regulation occurred at the transcriptional level but not post-translational level. HNF4α transactivated Exo70 promoter through directly binding to the HNF4α-response element in this promoter. Cell cycle analysis further revealed that down-regulation of HNF4α and Exo70 was essential to berberine-stimulated G2/M cell cycle arrest in hepatoma cells. Moreover, knocking down either Exo70 or HNF4α induced G2/M phase arrest of hepatoma cells. Exo70 acted downstream of HNF4α to stimulate G2/M transition via increasing Cdc2 expression. Together, our results identify Exo70 as a novel transcriptional target of HNF4α to promote cell cycle progression in hepatoma, thus provide a basis for the development of therapeutic strategies for hepatocellular carcinoma.
Downwelling and deep‐water bottom currents as food supply mechanisms to the cold‐water coral Lophelia pertusa (Scleractinia) at the Mingulay Reef Complex

In 2006 and 2007, multiple deployments of current meters and optical sensors on landers and moorings were made in the first detailed in situ study of the particle supply to the coral community in the Mingulay Reef complex in the Sea of Hebrides at 140‐m water depth. Two distinct and predictable supply mechanisms were resolved. One mechanism consisted of the rapid downwelling of surface water caused by hydraulic control of tidal flow that transports particles from the surface to the corals in less than an hour. The rapid downwelling was recorded on the reef top as a pulse of warm, fluorescent, and relatively clear water at the onset of the flood and ebb tides. The pulse was strongest after flood tide and lasted for up to 3 h. The second mechanism consisted of advection onto the reef of deep bottom water with a high suspended matter load. This advection occurred during peak tides and was combined with topographical current acceleration on the reef top, enhancing delivery of particles to the corals.
Peptide hormones and lipopeptides: from self‐assembly to therapeutic applications

This review describes the properties and activities of lipopeptides and peptide hormones and how the lipidation of peptide hormones could potentially produce therapeutic agents combating some of the most prevalent diseases and conditions. The self‐assembly of these types of molecules is outlined, and how this can impact on bioactivity. Peptide hormones specific to the uptake of food and produced in the gastrointestinal tract are discussed in detail. The advantages of lipidated peptide hormones over natural peptide hormones are summarised, in terms of stability and renal clearance, with potential application as therapeutic agents. © 2017 The Authors Journal of Peptide Science published by European Peptide Society and John Wiley & Sons Ltd.
Using Design Patterns — An observational study COT / 6-15

This report documents a case study in which the communication among software developers who are using design patterns to develop software is in focus. A conceptual framework describing our view on the software development process is presented and a set of research questions are posed in terms of this conceptual framework. The study is carried out as an observational study in which the developers are observed while designing a software system.
Wave‐equation trace interpolation

Spatial aliasing in multichannel seismic data can be overcome by solving an inversion in which the model is the section that would be recorded in a well sampled zero-offset experiment, and the data are seismic data after normal moveout (NMO). The formulation of the (linear) relation between the data and the model is based on the wave equation and on Fourier analysis of aliasing. A processing sequence in which one treats missing data as zero data and performs partial migration before stacking is equivalent to application of the transpose of the operator that actually needs to be inverted. The inverse of that operator cannot be uniquely determined, but it can be estimated using spatial spectral balancing in a conjugate-gradient iterative scheme. The first iteration is conventional processing (including prestack partial migration). As shown in a field data example in which severe spatial aliasing was simulated, a few more iterations are necessary to achieve significantly better results.
Strategies for Energy-Efficient Resource Management of Hybrid Programming Models

Many scientific applications are programmed using hybrid programming models that use both message passing and shared memory, due to the increasing prevalence of large-scale systems with multicore, multisocket nodes. Previous work has shown that energy efficiency can be improved using software-controlled execution schemes that consider both the programming model and the power-aware execution capabilities of the system. However, such approaches have focused on identifying optimal resource utilization for one programming model, either shared memory or message passing, in isolation. The potential solution space, thus the challenge, increases substantially when optimizing hybrid models since the possible resource configurations increase exponentially. Nonetheless, with the accelerating adoption of hybrid programming models, we increasingly need improved energy efficiency in hybrid parallel applications on large-scale systems. In this work, we present new software-controlled execution schemes that consider the effects of dynamic concurrency throttling (DCT) and dynamic voltage and frequency scaling (DVFS) in the context of hybrid programming models. Specifically, we present predictive models and novel algorithms based on statistical analysis that anticipate application power and time requirements under different concurrency and frequency configurations. We apply our models and methods to the NPB MZ benchmarks and selected applications from the ASC Sequoia codes. Overall, we achieve substantial energy savings (8.74 percent on average and up to 13.8 percent) with some performance gain (up to 7.5 percent) or negligible performance loss.
Digital Reunification of the Parthenon and its Sculptures

The location, condition, and number of the Parthenon sculptures present a considerable challenge to archeologists and researchers studying this monument. Although the Parthenon proudly stands on the Athenian Acropolis after nearly 2,500 years, many of its sculptures have been damaged or lost. Since the end of the 18th century, its surviving sculptural decorations have been scattered to museums around the world. We propose a strategy for digitally capturing a large number of sculptures while minimizing impact on site and working under time and resource constraints. Our system employs a custom structured light scanner and adapted techniques for organizing, aligning and merging the data. In particular this paper details our effort to digitally record the Parthenon sculpture collection in the Basel Skulpturhalle museum, which exhibits plaster casts of most of the known existing pediments, metopes, and frieze. We demonstrate our results by virtually placing the scanned sculptures on the Parthenon.
Joint Patenting in R&D Alliances: Control Rights and Resource Attributes

In this paper, an attempt is made to provide a clearer understanding of the motives that lead firms to share intellectual property rights in their innovative efforts, through joint patents in R&D alliances. We test our hypotheses on a sample of 116 biotechnology R&D alliances, and explain variation in joint patenting activities. Our results show that the characteristics of the resources held by the firms, and the ex-ante allocation of control rights, can influence joint patenting activity.
The Tudor Domain Protein Spindlin1 Is Involved in Intrinsic Antiviral Defense against Incoming Hepatitis B Virus and Herpes Simplex Virus Type 1

Hepatitis B virus infection (HBV) is a major risk factor for the development of hepatocellular carcinoma. HBV replicates from a covalently closed circular DNA (cccDNA) that remains as an episome within the nucleus of infected cells and serves as a template for the transcription of HBV RNAs. The regulatory protein HBx has been shown to be essential for cccDNA transcription in the context of infection. Here we identified Spindlin1, a cellular Tudor-domain protein, as an HBx interacting partner. We further demonstrated that Spindlin1 is recruited to the cccDNA and inhibits its transcription in the context of infection. Spindlin1 knockdown induced an increase in HBV transcription and in histone H4K4 trimethylation at the cccDNA, suggesting that Spindlin1 impacts on epigenetic regulation. Spindlin1-induced transcriptional inhibition was greater for the HBV virus deficient for the expression of HBx than for the HBV WT virus, suggesting that HBx counteracts Spindlin1 repression. Importantly, we showed that the repressive role of Spindlin1 is not limited to HBV transcription but also extends to other DNA virus that replicate within the nucleus such as Herpes Simplex Virus type 1 (HSV-1). Taken together our results identify Spindlin1 as a critical component of the intrinsic antiviral defense and shed new light on the function of HBx in HBV infection.
Multifocus Image Fusion Using Sparse Representation by Adaptive Feature Matching

Optical imaging cameras suffer from the problem of limited depth-of-field of optical lenses, so it is difficult to get an image with all objects in focus. One way to overcome this problem is by using multi-focus image fusion technique, in which several images with different focus points are combined to form a single image with all objects fully focused. So, it is crucial to effectively extract the image information of the original images and reasonably combine them into the final fusion image. The main concern regarding this approach is to represent source image in sparse coefficients from an over-complete dictionary and fuse by OMP algorithm. The proposed method is tested on several multifocus images and compared with Discrete Wavelet Transform based method. The existing method had many lack of disabilities to produce effective image which is of reduced blurring effects and shift variance, which may overcome by this method with better outcomes.
Simulation of lead-time scheduling in PMP FWA networks

The terrestrial point-to-multipoint fixed wireless access (PMP FWA) systems have evolved from their first circuit-switched proprietary implementations in the 1970s into flexible, packet-based solutions available to competitive local exchange carriers (CLEC) for providing POTS and Internet access in WAN and MAN. Examples of such systems can be seen in a number of proprietary technologies, as well as in the commercial implementations of the IEEE 802 families of standards. The purpose of this paper is to evaluate the performance of a PMP FWA system in the context of today's packet based IntServ infrastructure. The evaluation takes into account three scheduling algorithms (FIFO, strict priority, and lead-time) in a number of different configurations. This paper also proposes a set of mechanisms that can be introduced into the IntServ framework to support the lead-time scheduling algorithm.
Identifying Developers' Expertise in Social Coding Platforms

Social coding platforms provide a means for software developers to acquire hands-on development experience. Their source code contributions can be used to showcase their expertise and skills in specific areas of software development to the community and potential employers. Therefore, quantifying developers' expertise based on their overall development activity can be used to provide a clear view of their experience and competencies, that is otherwise scattered across different software projects. In this paper we propose an approach that extracts developers' expertise in different programming languages. Our approach measures developers' commit activity on GitHub by considering both the quantity and the continuity of their contributions in isolated projects through time. We evaluate the generated developers' expertise profiles against recognized answering activity in Stack Overflow via a dataset of users that are active both in GitHub and Stack Overflow.
Diagnosis and Diagnostic Planning in Dynamic Domains

In this paper we formalize the notion of diagnosis and diagnostic planning w.r. t. dynamic domains with narratives and show that our formulation expands on the earlier formulation of diagnosis and testing deened with respect to a single state. In the process we extend the language L for narratives with static causal laws and sensing actions. Abstract id: A363; Word count: 5980
Nucleic Acids Research

ABSTRCT The effect of different levels of mercury substitution an the rate and extent of hybridisation of globin mRNA with a complementary DNA (cDNA) copy has been investigated. It was found that mercuration significantly reduces both the rate of hybridisation and the extent of the reaction, but that these effects are abolished when at least stoichiometric amaunts of 2merma#oethanol are included in the hybridisation medium. As a preliminary to using this technique to isolate specific groups of sequences after longterm hybridisations, we have investigated both the rate of demercuration of RNA and its retention on thiol-sepharose columns after extended incubation under cammonly employed hybridisation conditions at 430 or 600. Retention was essentially quantitative even after incubation times of 300 hours at 430, but decreased significantly after 48 hours at 600. It is concluded that thiol.eepharose chromatography offers considerable advantages over hydroxyapatite chromatography for the recovery of hybridised sequences, particularly with regard to the lower levels of non-specific binding obtained and its ability to distinguish directly between DNA-DNA and DNAHg RNA hybrids.