Miracle-dz/UniFAR-FTUs huggingface dataset:
Identifying Short Term Real Estate Rental Performance Leading Indicators

A low power valve actuator includes a small motor that rotates an Acme drive screw. The rotary motion of the drive screw is translated into linear motion of a drive nut-traveling block, which is guided along and held against rotation by a pair of spaced parallel guide rods. A cantilever pin carried on the traveling block engages in a groove extending longitudinally of, a Scotch yoke lever, which translates the linear motion back into rotary motion at a further mechanical advantage. The Scotch yoke lever is reinforced and strengthened by reason of the fact that the groove is not a through-slot, but extends only partially through the lever arm. The device is made more compact by reason of the fact that the groove in the Scotch yoke lever can actually extend over the top of the valve stem.
Structured simultaneous localization and mapping (SLAM) with single camera and piecewise planar shape prior

This paper describes a joint approach to camera localization, scene reconstruction and planar surface detection. It is based on the fact that many man-made objects in urban environments contain planar surface parts, and that the ambiguity of localization and reconstruction could be reduced or solved if given certain shape knowledge about the scene. We propose to use piecewise planar model to construct planar surfaces bottom-up, with a unified patch-wise energy formulation to encode the scene modeling. Although 3D information provided by the classic monocular SLAM is not so reliable due to the slowly changing scale among frames, our structured inference approach is capable of both robustly detecting planes and accurately retrieving camera motion and scene geometry. We also provide a separated 2D plane tracking scheme and a non-linear optimization strategy to reduce the computational complexity and to further enhance the performance. Real experimental results from the TUM [1] benchmark have demonstrated that the proposed algorithm outperforms the state-of-the-arts by producing more accurate camera localization and scene reconstruction results.
Arabidopsis FHY 3 de ® nes a key phytochrome

In Arabidopsis, phytochrome A (phyA) is the primary photoreceptor mediating various plant responses to far-red (FR) light. Here we show that phyA signaling involves a combinatorial action of downstream intermediates, which controls overlapping yet distinctive sets of FR responses. FHY3 is a prominent phyA signaling intermediate sharing structural similarity to FAR1, a previously identi®ed phyA signaling component. The fhy3 and far1 mutants display similar yet distinctive defects in phyA signaling; however, overexpression of either FHY3 or FAR1 suppresses the mutant phenotype of both genes. Moreover, overexpression of partial fragments of FHY3 can cause a dominant-negative interference phenotype on phyA signaling that is stronger than those of the fhy3 or far1 null mutants. Further, we demonstrate that FHY3 and FAR1 are capable of homoand hetero-interaction. Our data indicate that FHY3, together with FAR1, de®nes a key module in a signaling network underlying phyA-mediated FR light responses.
A Appendix : Equilibrium distribution of commuting distances

Ethnic Unemployment Rates and Frictional Markets* The unemployment rate in France is roughly 6 percentage points higher for African immigrants than for natives. In the US the unemployment rate is approximately 9 percentage points higher for blacks than for whites. Commute time data indicates that minorities face longer commute times to work, potentially reflecting more difficult access to jobs. In this paper we investigate the impact of spatial mismatch on the unemployment rate of ethnic groups using the matching model proposed by Rupert and Wasmer (2012). We find that spatial factors explain between 1 to 1.5 percentage points of the unemployment rate gap in both France and the US, amounting to 17% to 25% of the relative gap in France and about 10% in the US. Among these factors, differences in commuting distance plays the most important role. In France, though, longer commuting distances may be mitigated by higher mobility in the housing market for African workers. Overall, we still conclude that labor market factors remain the main explanation for the higher unemployment rate of Africans. JEL Classification: E24 and R23
A comparative study of two models for celebrity identification on Twitter

The concept of celebrities has shaped societies throughout history. This work addresses the problem of celebrity identification from social media interactions. "Celebritiness" is a characteristic assigned to persons that are initially based on specific achievements or lineage. However, celebritiness often transcends achievements and gets attached to the person itself, causing them to capture popular imagination and create a public image that is bigger than life. The celebrity identification problem is argued to be distinct from similar problems of identifying influencers or of identification of experts. We develop two models for celebrity identification. In this paper, we compare the two models on twitter data and highlight the characteristics of each of the models.
Markov Logics Based Automated Business Requirements Analysis

Automated Software engineering has been an area of interest for NLP scientists for last many decades. Various scientists have investigated applicability of the natural language based interfacing for business/software requirement analysis. Some of them are using rule based approach and some of them have used neural networks and case based reasoning, etc. These techniques provide results up to 70 - 80%. The key objective of this research paper is to investigate the use of recently introduced approach of Markov Logics by Pedro Domingos and have a comparison of the output of this approach with other already employed approaches in the recent past. Results of analyzing the natural language text using Markov Logic has been presented in the next paper.
The Habitus Process: A Biopsychosocial Conception

The concept of habitus, popularized in the last two decades of the twentieth century especially by the work of Pierre Bourdieu and Norbert Elias, is frequently employed in the social and biosocial sciences. The concept ofhabitus seems to offer a fruitful way of dealing with some fundamental problems in social theory today by providing a promising conceptual linkage between cultural, social, psychological and biological dimensions of reality. The task of this paper is to work towards a clearer and more systematic conception of habitus based on a systemic and mechanismic philosophy of science. The paper surveys the various forms in which habitus appears in the social world, presents a systematic account of the structures and effects of habitus, and sketches a dynamic model of how habitus as process in biopsychosocial systems works. The illustrative case to be discussed is that of national habitus and homo nationis as a biopsychosocial system.
The hemodynamic effects of spinal block with low dose of bupivacaine and sufentanil in patients with low myocardial ejection fraction.

The aim of this study was to assess the effect of spinal block with low dose of bupivacaine and sufentanil on patients with low cardiac output who underwent lower limb surgery. Fifteen patients who had ejection fraction less than 40% (group 1) were compared with 65 cases with ejection fraction more than 40% (group 2) in our study. Our subjects underwent spinal block with 7.5 mg hyperbaric bupivacaine 0.5% and 5 µg sufentanil. We recorded early events such as hypotension, bradycardia, vasopressor need and ST segment change in our cases. The average mean arterial pressure decreased 13% (110 mmHg to 95.7 mmHg) in group 1 and 20% (160 mmHg to 128 mmHg) in group 2 (P<0.001). Hypotension due to spinal anesthesia was observed in none of our subjects in both groups and none of our cases need to vasopressor support. All patients remained alert, and no ST segment changes were observed in two groups. In our study none of subjects complained of pain intraoperatively. The subjects were without complaints during the spinal anesthetic in both groups. Spinal block with low dose local anesthetic and sufentanil was a safe and effective method for lower limb surgery in patients with low ejection fraction.
Health Disparities due to Diminished Return among Black Americans: Public Policy Solutions

There are persistent and pervasive disparities in the health of Black people compared to non-Hispanic Whites in the United States. There are many reasons for this gap; this article explores the role of “Blacks’ diminished gain” as a mechanism behind racial health disparities. Diminished gain is a phenomenon wherein the health effects of certain socioeconomic resources and psychological assets are systematically smaller for Blacks compared to Whites. These patterns are robust, with similar findings across different resources, assets, outcomes, settings, cohorts, and age groups. However, the role of diminished gain as a main contributing mechanism to racial health disparities has been historically overlooked. This article reviews the research literature on diminished gain and discusses possible causes for it, such as the societal barriers created by structural racism. Policy solutions that may reduce Blacks’ diminished gain are discussed.
Radical amino acid changes persist longer in the absence of sex

Harmful mutations are ubiquitous and inevitable, and the rate at which these mutations are removed from populations is a critical determinant of evolutionary fate. Closely related and otherwise similar sexual and asexual taxa provide a particularly powerful setting in which to study deleterious mutation elimination because sexual reproduction should facilitate mutational clearance by reducing selective interference between sites and by allowing the production of offspring with different mutational complements than their parents. Here, we compared the rate of removal of conservative and radical nonsynonymous mutations from mitochondrial genomes of sexual vs. asexual populations of Potamopyrgus antipodarum, a New Zealand freshwater snail species with coexisting and ecologically similar sexual and asexual lineages. Our analyses revealed that radical changes are removed from populations at significantly higher rates than conservative changes and that sexual lineages eliminate these radical changes more rapidly than asexual counterparts. Taken together, these results indicate that reduced efficacy of purifying selection in asexual lineages allows harmful mutations to remain polymorphic longer than in sexual lineages, potentially influencing the outcome of competition between sexual and asexual lineages.
Context-Aware Mobile Hypermedia Systems

Preface My interest in hypermedia and mobile systems precedes my Ph.D. project by several years. I developed , together with my study group, my first hypermedia system in the autumn of 2000 as part of the Hypermedia course atÅrhus University. The system was a compiler engine written in Python which could compile guided tour maps created with the Webvise open hypermedia system (Sandvad et al., 2001) into interactive 3D VRML models. The system, Webvise3D, was later demonstrated at a demo session during the 12 th Hypertext conference in 2001. I received my master's degree in computer science in the spring of 2003. Together with Bent Guldbjerg Christensen I investigated W3C's proposed XLink standard as an open hypermedia linking format and compared it to a number of other open hypermedia link models. Key to our work was also a prototype, the Xspect system, demonstrating that XLink indeed shared many of the qualities found in open hypermedia systems and the prototype also showed how XLink link bases could be integrated with common Web browsers using standards such as XSLT and JavaScript. results were presented to both the open hypermedia research community and the Web community. In February 2003 I was hired as a research assistant at the Centre for Interactive Spaces to work as a programmer on the research project ContextIT, a project with two private partners, Euman A/S and TDC/InnovationLab, and the computer science departments at the universities in Aalborg and Aarhus. In the project I worked on the initial version of a hypermedia framework which was named HyCon. The HyCon framework was designed to encompass annotations, links, and guided tours associating locations and RFID-or Bluetooth-tagged objects with maps, Web pages, and collections of resources. The HyCon architecture extends upon earlier location based hypermedia systems by supporting au-thoring in the field and by providing access to browsing and searching information through a novel geo-based search (GBS) interface for the Web. In August 2003 I was accepted as a Ph.D.-student and continued the work on HyCon and another hypermedia prototype, the HyConExplorer, which was built with the HyCon framework. The Hy-Con framework and the first prototype of HyConExplorer was documented in the article: " HyCon: A framework for context-aware mobile hypermedia " in the New Review of Hypermedia and Multimedia journal in late 2003 (Bouvin et al., 2003). The ContextIT project ended in December 2003 and I presented the paper: " Integrating …
Estimating the activity of transcription factors by the effect on their target genes

Motivation: Understanding regulation of transcription is central for elucidating cellular regulation. Several statistical and mechanistic models have come up the last couple of years explaining gene transcription levels using information of potential transcriptional regulators as transcription factors (TFs) and information from epigenetic modifications. The activity of TFs is often inferred by their transcription levels, promoter binding and epigenetic effects. However, in principle, these methods do not take hard-to-measure influences such as post-transcriptional modifications into account. Results: For TFs, we present a novel concept circumventing this problem. We estimate the regulatory activity of TFs using their cumulative effects on their target genes. We established our model using expression data of 59 cell lines from the National Cancer Institute. The trained model was applied to an independent expression dataset of melanoma cells yielding excellent expression predictions and elucidated regulation of melanogenesis. Availability and implementation: Using mixed-integer linear programming, we implemented a switch-like optimization enabling a constrained but optimal selection of TFs and optimal model selection estimating their effects. The method is generic and can also be applied to further regulators of transcription. Contact: rainer.koenig@uni-jena.de Supplementary information: Supplementary data are available at Bioinformatics online.
Testing for Non-Linearity in ASEAN Financial Markets

With abounding evidence of non-linearity in financial markets of developed countries, this study attempts to narrow the gap in the literature of ASEAN countries, with a focus on the foreign exchange and stock markets. The outcomes of our econometric investigation using the Hinich bispectrum test provide strong support for the presence of non- linearity in all the ASEAN-5 exchange rates and stock returns series. Further application of the Lukkonen-Saikkonen-Terasvirta (LST) test reinforces our conclusion that the financial time series data of ASEAN-5 exhibit non-linear dependencies. These findings, while highlighting the fact that researchers cannot take the linear assumption as granted, also point to the need to test for non-linearity as a preliminary diagnostic tool to determine the nature of the data generating process before any further empirical analysis. This study has strong implication on the empirical work of ASEAN-5 financial markets. Specifically, the results suggest the use of empirical methods that is more robust if the data generating process is non-linear.
White-Box Coverage Criteria for Model Transformations

Model transformations are core to MDE, and one of the key aspects for all model transformations is that they are validated. In this paper we develop an approach to testing model transformations based on white-box coverage measures of the transformations. To demonstrate the use of this approach we apply it to some examples from the ATL metamodel zoo.
Correntropy-based density-preserving data sampling as an alternative to standard cross-validation

Estimation of the generalization ability of a predictive model is an important issue, as it indicates expected performance on previously unseen data and is also used for model selection. Currently used generalization error estimation procedures like cross-validation (CV) or bootstrap are stochastic and thus require multiple repetitions in order to produce reliable results, which can be computationally expensive if not prohibitive. The correntropy-based Density Preserving Sampling procedure (DPS) proposed in this paper eliminates the need for repeating the error estimation procedure by dividing the available data into subsets, which are guaranteed to be representative of the input dataset. This allows to produce low variance error estimates with accuracy comparable to 10 times repeated cross-validation at a fraction of computations required by CV, which has been investigated using a set of publicly available benchmark datasets and standard classifiers.
Early cardiac retention of administered stem cells determines clinical efficacy of cell therapy in patients with dilated cardiomyopathy.

The diagnosis of nonischemic dilated cardiomypathy (DCM) comprises a primary myocardial disease of various causes, which is characterized by left ventricular (LV) dilation and impaired myocardial contractility. Although a broad range of pharmacological and device therapies are available, morbidity and mortality remain high in patients with advanced DCM. Thus, there is an urgent need for novel therapies aiming at functional regeneration of myocardial contractility in DCM. Although regenerative therapies using administration of a variety of different cell types have emerged as a promising approach to improve heart function in patients with ischemic disease,1 only a few pilot studies have investigated intracoronary application of autologous bone marrow–derived cells (BMC) in patients with DCM. Seth et al2 performed intracoronary infusion of BMC in 24 patients with DCM and reported a modest 5% increase in LV ejection fraction in parallel with an increased ratio of capillaries to myocytes as evidenced by endomyocardial biopsies at 6 months. In the TOPCARE-DCM pilot study including 33 patients, the improvement in global and regional LV contractile function was rather heterogeneous but was also paralleled by improved microvascular function as assessed by measuring coronary flow reserve at 3 months after intracoronary infusion of BMC.3 Article, see p 165 In this issue of Circulation Research , Vrtovec et al4 now considerably extend these previous observations. The authors randomized 110 patients with DCM to either intracoronary …
Probabilistic progress prediction and sequencing of concurrent movement primitives

Classical approaches towards learning coordinated movement tasks often represent a movement in a sequential and exclusive fashion. Introducing concurrency allows to decompose such tasks into a number of separate sequences, for instance for two different end-effectors. While this results in a compact and generic representation of the individual movement primitives (MPs), it is a hard problem to learn their temporal and causal organization. This paper presents a concept for learning movement tasks that require the coordination of several controlled effectors of a robot. We firstly introduce a concept to learn and estimate the progress of individual MPs from a low number of demonstrations. Secondly, we propose a representation of the task that incorporates several concurrent sequences of MPs. Combining these two elements allows to learn and reproduce coordinated bi-manual movement tasks robustly. The synchronization of the concurrent MPs is achieved implicitly using the progress prediction. The approach is evaluated in two simulation studies with a 25 degrees of freedom two-arm robot performing a pick-and-place task.
Altruism of Healthcare Workers and Job Satisfaction: Findings from a survey in central Vietnam

Despite the value of altruism in this field of work, existing research across the world has not addressed its role in job satisfaction. We conduct quantitative analysis by using data collected from healthcare workers at primary facilities in central Vietnam in 2014, which includes a hypothetical question regarding the "dictator game" to obtain healthcare workers' altruism. The results of a regression analysis show that a higher level of altruism is associated with lower job satisfaction. Further analysis reveals that more altruistic workers have lower satisfaction on healthcare quality they provide at their work in particular. This study contributes to previous knowledge on healthcare workers' satisfaction by observing the role of altruism, which has not been sufficiently examined in previous studies.
Investigating phonotactics, lexical analogy, and sound symbolism using xenolinguistics : A novel word-picture matching paradigm

All human languages have restrictions on sound sequences, called phonotactic constraints . Knowledge of phonotactic constraints is typically tested using pseudoword rating tasks, e.g., an English speaker might be asked to rate acceptability or wordlikeness of the phonotactically illegal /bnk/ and the phonotactically legal /blk/. We introduce a new method of testing knowledge of phonotactic constraints. Instead of asking subjects to rate pseudowords, we ask them to assign pseudowords to pictures of novel objects. The set of available pseudowords is larger than the set of pictures and includes both legal and illegal pseudowords. We find legal pseudowords to be less likely to be left unassigned to pictures than illegal pseudowords. Thus, the listeners show knowledge of the phonotactics of English. We suggest that the present method has important advantages over rating tasks: it is a more direct measurement of the influence of phonotactics on the lexicon, and it allows the experimenter to detect influences of sound symbolism and lexical analogy and separate them from the influence of phonotactics.
Fairness issue in message delivery in delay- and Disruption-Tolerant Networks for disaster areas

Delay- and Disruption-Tolerant Network (DTN) is a promising solution which allows us to communicate to each other even in disaster areas where a large number of users lose network connectivity due to significant damages on network infrastructures by earthquakes, tsunami, tornadoes, and so on. In DTN where messages are transferred from source nodes to destination nodes through other nodes, the communication performance largely depends on the employed routing scheme which determines the feature of the message distribution over the network. A lot of researchers have dedicated their significant efforts to develop an advanced routing algorithm which is superior in terms of message delivery ratio, message deliver delay, and/or efficiency. However, they have not taken into account a criterion, i.e., the fairness in message delivery, which is much more important for users as a service in disaster areas, where DTN takes a role of the access network conveying messages from a huge number of users to a few base stations connected to external networks. In this paper, we first point out that the fairness issue is critical in disaster areas where many-to-one traffic flow exists; messages originating from users in DTN converge on the gateway. Then the performance of existing routing algorithms is evaluated through extensive computer simulations in terms of the fairness in message delivery as well as traditional criteria. The results of performance comparison show that no routing algorithm can achieve the fair message delivery ratio, and the development of advanced routing algorithm is now still an open issue.