Miracle-dz/UniFAR-FTUs huggingface dataset:
Eye-hand-workspace calibration using laser pointer projection on plane surface

Purpose – The purpose of this paper is to propose a calibration method that can calibrate the relationships among the robot manipulator, the camera and the workspace.Design/methodology/approach – The method uses a laser pointer rigidly mounted on the manipulator and projects the laser beam on the work plane. Nonlinear constraints governing the relationships of the geometrical parameters and measurement data are derived. The uniqueness of the solution is guaranteed when the camera is calibrated in advance. As a result, a decoupled multi‐stage closed‐form solution can be derived based on parallel line constraints, line/plane intersection and projective geometry. The closed‐form solution can be further refined by nonlinear optimization which considers all parameters simultaneously in the nonlinear model.Findings – Computer simulations and experimental tests using actual data confirm the effectiveness of the proposed calibration method and illustrate its ability to work even when the eye cannot see the hand.O.
What's on the Inside Counts: A Grounded Account of Concept Acquisition and Development

Understanding the factors which affect the age of acquisition (AoA) of words and concepts is fundamental to understanding cognitive development more broadly. Traditionally, studies of AoA have taken two approaches, either exploring the effect of linguistic variables such as input frequency (e.g., Naigles and Hoff-Ginsberg, 1998) or the semantics of the underlying concept, such as concreteness or imageability (e.g., Bird et al., 2001). Embodied theories of cognition, meanwhile, assume that concepts, even relatively abstract ones, can be grounded in the embodied experience. While the focus of such discussions has been mainly on grounding in external modalities, more recently some have argued for the importance of interoceptive features, or grounding in complex modalities such as social interaction. In this paper, we argue for the integration and extension of these two strands of research. We demonstrate that the psycholinguistic factors traditionally considered to determine AoA are far from sufficient to account for the variability observed in AoA data. Given this gap, we propose groundability as a new conceptual tool that can measure the degree to which concepts are grounded both in external and, critically, internal modalities. We then present a mechanistic theory of conceptual representation that can account for groundability in addition to the existing variables argued to influence concept acquisition in both the developmental and embodied cognition literatures, and discuss its implications for future work in concept and cognitive development.
Bayesian Hierarchical Community Discovery

We propose an efficient Bayesian nonparametric model for discovering hierarchical community structure in social networks. Our model is a tree-structured mixture of potentially exponentially many stochastic blockmodels. We describe a family of greedy agglomerative model selection algorithms that take just one pass through the data to learn a fully probabilistic, hierarchical community model. In the worst case, Our algorithms scale quadratically in the number of vertices of the network, but independent of the number of nested communities. In practice, the run time of our algorithms are two orders of magnitude faster than the Infinite Relational Model, achieving comparable or better accuracy.
ELIMINATING OBSTACLES TO FREEDOM OF ESTABLISHMENT: THE COMPETITIVE EDGE OF UK COMPANY LAW

This article examines the implications of the E.C. J.'s decisions in Überseering and Inspire Art against the background of the principal competing theories relating to lex societatis. It considers the tension between freedom of establishment (EC Treaty, arts 43 and 48) and the protective objectives of national corporate law regimes aimed at defeating the so-called Delaware effect. It goes on to argue that significant issues remain unresolved. More particularly, it questions whether creditor protection mechanisms contained in national insolvency laws will, in future, be viewed as obstacles to freedom of establishment.
Synthesis of Selective Agonists for the α7 Nicotinic Acetylcholine Receptor with In Situ Click-Chemistry on Acetylcholine-Binding Protein Templates

The acetylcholine-binding proteins (AChBPs), which serve as structural surrogates for the extracellular domain of nicotinic acetylcholine receptors (nAChRs), were used as reaction templates for in situ click-chemistry reactions to generate a congeneric series of triazoles from azide and alkyne building blocks. The catalysis of in situ azide-alkyne cycloaddition reactions at a dynamic subunit interface facilitated the synthesis of potentially selective compounds for nAChRs. We investigated compound sets generated in situ with soluble AChBP templates through pharmacological characterization with α7 and α4β2 nAChRs and 5-hydroxytryptamine type 3A receptors. Analysis of activity differences between the triazole 1,5-syn- and 1,4-anti-isomers showed a preference for the 1,4-anti-triazole regioisomers among nAChRs. To improve nAChR subtype selectivity, the highest-potency building block for α7 nAChRs, i.e., 3α-azido-N-methylammonium tropane, was used for additional in situ reactions with a mutated Aplysia californica AChBP that was made to resemble the ligand-binding domain of the α7 nAChR. Fourteen of 50 possible triazole products were identified, and their corresponding tertiary analogs were synthesized. Pharmacological assays revealed that the mutated binding protein template provided enhanced selectivity of ligands through in situ reactions. Discrete trends in pharmacological profiles were evident, with most compounds emerging as α7 nAChR agonists and α4β2 nAChR antagonists. Triazoles bearing quaternary tropanes and aromatic groups were most potent for α7 nAChRs. Pharmacological characterization of the in situ reaction products established that click-chemistry synthesis with surrogate receptor templates offered novel extensions of fragment-based drug design that were applicable to multisubunit ion channels.
Mindfulness-based cognitive therapy in patients with late-life depression: A case series

Depression is the most common mental illness in the elderly, and cost-effective treatments are required. Therefore, this study is aimed at evaluating the effectiveness of a mindfulness-based cognitive therapy (MBCT) on depressive symptoms, mindfulness skills, acceptance, and quality of life across four domains in patients with late-onset depression. A single case design with pre- and post-assessment was adopted. Five patients meeting the specified inclusion and exclusion criteria were recruited for the study and assessed on the behavioral analysis pro forma, geriatric depression scale, Hamilton depression rating scale, Kentucky inventory of mindfulness skills, Acceptance and Action Questionnaire II, The World Health Organization quality of life Assessment Brief version (WHOQO-L-BREF). The therapeutic program consisted of education regarding the nature of depression, training in formal and informal mindfulness meditation, and cognitive restructuring. A total of 8 sessions over 8 weeks were conducted for each patient. The results of this study indicate clinically significant improvement in the severity of depression, mindfulness skills, acceptance, and overall quality of life in all 5 patients. Eight-week MBCT program has led to reduction in depression and increased mindfulness skills, acceptance, and overall quality of life in patients with late-life depression.
Evaluation Method of Synchronization for Shared-Memory On-Chip Many-Core Processor

On-chip many-core architecture is an emerging and promising computation platform. High speed on-chip communication and abundant chipped resources are two outstanding advantages of this architecture, which provide an opportunity to implement efficient synchronization scheme. The practical execution efficiency of synchronization scheme is critical to this platform. However, there are few researches on systematic evaluation method of choice synchronization schemes for on-chip many-core processors, and effect of dedicated hardware support in this context. So we focus on the evaluation method and criterion of synchronization scheme on the platform. Firstly, we present several criterions proper to on-chip many-core architecture, that is, absolute overhead of synchronization operation, the transferring time between different synchronization operations, overhead caused by load imbalance, and the network congestion caused by synchronization operation. Secondly, we illustrate how to design microbenchmarks which one dedicated to evaluate a performance criterion respectively. Finally, we implement these microbenchmarks and synchronization schemes on an on-chip many-core processor with shared level-two cache and AMD Opteron commercial chip multi-processor, respectively. And we analyze effect of dedicated hardware support. Results show that the most overhead of synchronization is caused by load imbalance and serialization on synchronization point. It also shows that synchronization scheme supported with dedicated hardware can improve its performance obviously for chipped many-core processor.
Are Alliterative Word Combinations Comparatively Easy To Remember For Adult Learners?

Lindstromberg and Boers (2008a, 2008b) have reported experiments with adult learners of English which revealed a comparative mnemonic advantage afforded by word combinations that display sound patterns such as alliteration (green grass) and assonance (home phone). These findings are relevant for TESOL, given the fact that English phraseology abounds with alliterative and assonant expressions (Boers and Lindstromberg, 2009, chapter 6). The authors recommend classroom interventions that draw learners’ attention to the alliteration or assonance in standardized word strings such as collocations so as to unlock their mnemonic potential. They contend that such interventions are justified because learners are unlikely to take notice of a sound pattern such as alliteration spontaneously, while noticing is widely believed to be a crucial step towards retention (e.g. Schmidt, 2001). The mnemonic advantage of alliteration and assonance in Lindstromberg and Boers’ (2008a, 2008b) experiments was attested after tasks that required the participants’ conscious engagement with the given sound pattern. This does not actually preclude the possibility that learners reap some mnemonic benefits of these sound patterns also without being made aware of the sound repetition. In this article, we report a new within-participant experiment in which matched samples of alliterative and non-alliterative word pairs were dictated to upper-intermediate to advanced learners of English. The participants were not briefed about the presence of alliterative stimuli; they were merely asked to repeat each dictated word pair before writing it down. The results of an unannounced free recall test revealed significantly better recall of the alliterative stimuli, but the difference was not at all as pronounced as in the aforementioned experiments, where the participants had engaged in more explicit and more elaborate processing of phonological form.
Lead Implant Duration Does Not Always Predict Ease of Extraction: Extraction Sheath May Be Required at < 1 Year

Introduction: Lead implant duration is a predictor of extraction sheath (ES) use in transvenous lead extraction (TLE). Most operators agree that leads with short implant durations can be extracted easily but data regarding defibrillator (implantable cardioverter‐defibrillator [ICD]) leads and newer generation leads with backfilled coils are limited.
Communication-Efficient Support for Spatial Filtering of State Updates in Distributed Virtual Environments

Spatial filtering is an interest management mechanism that eliminates unnecessary state updates transmitted in distributed virtual environments. This paper proposes a new protocol to reduce the communication overhead for supporting spatial filtering. The protocol maintains potential interest regions (PIRs) to assist in observing entities entering the areas-of-interest (AOIs) of other entities. PIRs enable the protocol to take advantage of the relative positions between entities and AOIs to save communication cost. We elaborate the design of the protocol. A number of concurrency issues that arise from the delay of message transmission are identified and resolved. We also propose an algorithm for computing PIRs to maximize the saving in communication cost. Experimental results show that the proposed protocol maintains highly accurate entity-in-AOI knowledge with substantially lower communication overhead compared to existing strategies.
On Comparing the Effects of Different Transformations for Visualization of High-Dimensional Data

This paper presents a visualization tool, VisHD, which can visualize the spatial distribution of vector points in high dimensional feature space. It is important to handle high dimensional information in many areas of computer science. VisHD provides several methods for dimension reduction in order to map the data from high dimensional space to low dimensional one. Next, this system builds intuitive visualization for observing the characteristics of the data set, whether these data have pre-defined labels or not. In addition, some useful functions have been implemented to facilitate the information visualization. This paper, finally, gives some experiments and discussions to show the abilities of VisHD to visualize high-dimensional data. Keywords---information visualization, dimension reduction, high-dimensional data.
Leveraging Online Resources to Prioritize Candidate Genes for Functional Analyses: Using the Fetal Testis as a Test Case

With each new microarray or RNA-seq experiment, massive quantities of transcriptomic information are generated with the purpose to produce a list of candidate genes for functional analyses. Yet an effective strategy remains elusive to prioritize the genes on these candidate lists. In this review, we outline a prioritizing strategy by taking a step back from the bench and leveraging the rich range of public databases. This in silico approach provides an economical, less biased, and more effective solution. We discuss the publicly available online resources that can be used to answer a range of questions about a gene. Is the gene of interest expressed in the system of interest (using expression databases)? Where else is this gene expressed (using added-value transcriptomic resources)? What pathways and processes is the gene involved in (using enriched gene pathway analysis and mouse knockout databases)? Is this gene correlated with human diseases (using human disease variant databases)? Using mouse fetal testis as an example, our strategies identified 298 genes annotated as expressed in the fetal testis. We cross-referenced these genes to existing microarray data and narrowed the list down to cell-type-specific candidates (35 for Sertoli cells, 11 for Leydig cells, and 25 for germ cells). Our strategies can be customized so that they allow researchers to effectively and confidently prioritize genes for functional analysis.
The Genetic and Environmental Relationship Between General and Specific Cognitive Abilities in Twins Age 80 and Older

In the first twin study of the old-old, individuals 80 years old and older, we examined the relationship between general and specific cognitive abilities from a genetic perspective. That is, we examined the extent to which genetic and environmental factors influence major group factors of cognitive abilities, independent of general cognitive ability. As part of the OctoTwin project in Sweden, general and specific cognitive abilities were assessed in 52 monozygotic and 65 same-sex dizygotic twin pairs 80 years old and older using a battery of seven tests that assess verbal, spatial, speed-of-processing, and memory performance. Results suggest that genetic effects associated with general cognitive ability (g) account for the correlation between g and verbal, spatial, and speed-of-processing abilities. No genetic influences were found for these specific cognitive abilities separate from g. In contrast, memory ability appears to be more distinct genetically from g than are other cognitive abilities. Comparison with younger samples suggests that cognitive abilities relating to speed of processing may be genetically dedifferentiated in the old-old.
Common carotid intima-media thickness measurements in cardiovascular risk prediction: a meta-analysis.

CONTEXT The evidence that measurement of the common carotid intima-media thickness (CIMT) improves the risk scores in prediction of the absolute risk of cardiovascular events is inconsistent. OBJECTIVE To determine whether common CIMT has added value in 10-year risk prediction of first-time myocardial infarctions or strokes, above that of the Framingham Risk Score. DATA SOURCES Relevant studies were identified through literature searches of databases (PubMed from 1950 to June 2012 and EMBASE from 1980 to June 2012) and expert opinion. STUDY SELECTION Studies were included if participants were drawn from the general population, common CIMT was measured at baseline, and individuals were followed up for first-time myocardial infarction or stroke. DATA EXTRACTION Individual data were combined into 1 data set and an individual participant data meta-analysis was performed on individuals without existing cardiovascular disease. RESULTS We included 14 population-based cohorts contributing data for 45,828 individuals. During a median follow-up of 11 years, 4007 first-time myocardial infarctions or strokes occurred. We first refitted the risk factors of the Framingham Risk Score and then extended the model with common CIMT measurements to estimate the absolute 10-year risks to develop a first-time myocardial infarction or stroke in both models. The C statistic of both models was similar (0.757; 95% CI, 0.749-0.764; and 0.759; 95% CI, 0.752-0.766). The net reclassification improvement with the addition of common CIMT was small (0.8%; 95% CI, 0.1%-1.6%). In those at intermediate risk, the net reclassification improvement was 3.6% in all individuals (95% CI, 2.7%-4.6%) and no differences between men and women. CONCLUSION The addition of common CIMT measurements to the Framingham Risk Score was associated with small improvement in 10-year risk prediction of first-time myocardial infarction or stroke, but this improvement is unlikely to be of clinical importance.
mTreebone: A Hybrid Tree/Mesh Overlay for Application-Layer Live Video Multicast

Application-layer overlay networks have recently emerged as a promising solution for live media multicast on the Internet. A tree is probably the most natural structure for a multicast overlay, but is vulnerable in the presence of dynamic end-hosts. Data-driven approaches form a mesh out of overlay nodes to exchange data, which greatly enhances the resilience. It however suffers from an efficiency-latency tradeoff, given that the data have to be pulled from mesh neighbors with periodical notifications. In this paper, we suggest a novel hybrid tree/mesh design that leverages both overlays. The key idea is to identify a set of stable nodes to construct a tree-based backbone, called treebone, with most of the data being pushed over this backbone. These stable nodes, together with others, are further organized through an auxiliary mesh overlay, which facilitates the treebone to accommodate node dynamics and fully exploit the available bandwidth between overlay nodes. This hybrid design, referred to as mTreebone, is braced by our real trace studies, which show strong evidence that the performance of an overlay closely depends on a small set of backbone nodes. It however poses a series of unique and critical design challenges, in particular, the identification of stable nodes and seamless data delivery using both push and pull methods. In this paper, we present optimized solutions to these problems, which reconcile the two overlays under a coherent framework with controlled overhead. We evaluate mTreebone through both simulations and PlanetLab experiments. The results demonstrate the superior efficiency and robustness of this hybrid solution.
DELLA-Interacting SWI3C Core Subunit of Switch/Sucrose Nonfermenting Chromatin Remodeling Complex Modulates Gibberellin Responses and Hormonal Cross Talk in Arabidopsis1[W]

A chromatin remodeling complex subunit physically interacts with DELLA proteins and is involved in control of gibberellin biosynthesis and hormonal cross talk. Switch (SWI)/Sucrose Nonfermenting (SNF)-type chromatin-remodeling complexes (CRCs) are involved in regulation of transcription, DNA replication and repair, and cell cycle. Mutations of conserved subunits of plant CRCs severely impair growth and development; however, the underlying causes of these phenotypes are largely unknown. Here, we show that inactivation of SWI3C, the core component of Arabidopsis (Arabidopsis thaliana) SWI/SNF CRCs, interferes with normal functioning of several plant hormone pathways and alters transcriptional regulation of key genes of gibberellin (GA) biosynthesis. The resulting reduction of GA4 causes severe inhibition of hypocotyl and root elongation, which can be rescued by exogenous GA treatment. In addition, the swi3c mutation inhibits DELLA-dependent transcriptional activation of GIBBERELLIN-INSENSITIVE DWARF1 (GID1) GA receptor genes. Down-regulation of GID1a in parallel with the DELLA repressor gene REPRESSOR OF GA1-3 1 in swi3c indicates that lack of SWI3C also leads to defects in GA signaling. Together with the recent demonstration of function of SWI/SNF ATPase BRAHMA in the GA pathway, these results reveal a critical role of SWI/SNF CRC in the regulation of GA biosynthesis and signaling. Moreover, we demonstrate that SWI3C is capable of in vitro binding to, and shows in vivo bimolecular fluorescence complementation interaction in cell nuclei with, the DELLA proteins RGA-LIKE2 and RGA-LIKE3, which affect transcriptional activation of GID1 and GA3ox (GIBBERELLIN 3-OXIDASE) genes controlling GA perception and biosynthesis, respectively. Furthermore, we show that SWI3C also interacts with the O-GlcNAc (O-linked N-acetylglucosamine) transferase SPINDLY required for proper functioning of DELLAs and acts hypostatically to (SPINDLY) in the GA response pathway. These findings suggest that DELLA-mediated effects in GA signaling as well as their role as a hub in hormonal cross talk may be, at least in part, dependent on their direct physical interaction with complexes responsible for modulation of chromatin structure.
Fast Dynamics of Cortical Functional and Effective Connectivity during Word Reading

We describe for the first time the fast dynamics of functional and effective (causal) connectivity during word reading. Independent component analysis of high-density EEG recorded during a word reading task recovered multiple sources of electrical brain activity previously identified by fMRI and PET. Results confirmed the ventral occipito-temporal cortex (vOT) as a central hub for word reading, showing a progression of theta-band (3–7 Hz) and gamma-band (30–50 Hz) phase synchronization and directed theta-band and gamma-band information flow with both early visual areas and high-level language-processing areas. These results highlight the interplay between local and long-distance neural dynamics involved at each stage of the reading process. Moreover, these measures of functional and causal connectivity dynamics may be used as a benchmark for comparison with clinical populations (e.g. individuals with developmental dyslexia), such that disturbances in connectivity dynamics may provide insight as to underlying neurological problems with language processing, and their potential remediation.