Miracle-dz/UniFAR-FTUs huggingface dataset:
On the Constancy of the Characteristic Mass of Young Stars

The characteristic mass Mc in the stellar initial mass function (IMF) is about constant for most star-forming regions. Numerical simulations consistently show a proportionality between Mc and the thermal Jeans mass MJ at the time of cloud fragmentation, but no models have explained how it can be the same in diverse conditions. Here we show that MJ depends weakly on density, temperature, metallicity, and radiation field in three environments: the dense cores where stars form, larger star-forming regions ranging from GMCs to galactic disks, and the interiors of H II regions and super star clusters. In dense cores, the quantity T3/2n−1/2 that appears in MJ scales with core density as n0.25 or with radiation density as U0.1 at the density where dust and gas come into thermal equilibrium. On larger scales, this quantity varies with ambient density as n−0.05 and ambient radiation field as U−0.033 when the Kennicutt-Schmidt law of star formation determines U(n) . In super star clusters with ionization and compression of prestellar globules, MJ varies as the 0.13 power of the cluster column density. These weak dependencies on n, U, and column density imply that most environmental variations affect the thermal Jeans mass by at most a factor of ~2. Cosmological increases in MJ, which have been suggested by observations, may be explained if the star formation efficiency is systematically higher at high redshift for a given density and pressure, if dust grains are smaller at lower metallicity, and so hotter for a given radiation field, or if small prestellar cores are more severely ionized in extreme starburst conditions.
Dialogue strategy optimization to assist user's decision for spoken consulting dialogue systems

This paper addresses a user model and dialogue state definition in spoken consulting dialogue systems that help users in making decision. When selecting from a set of alternatives, users have various decision criteria for making decision. Users often do not have a definite goal or criteria for selection, and thus they may find not only what kind of information the system can provide but their own preference or factors that they should emphasize. In this paper, we model such consulting dialogue as partially observable Markov decision process (POMDP). We then present an optimization of dialogue strategy to help users make better decisions.
Quantum Dots Do Not Affect the Behaviour of Mouse Embryonic Stem Cells and Kidney Stem Cells and Are Suitable for Short-Term Tracking

Quantum dots (QDs) are small nanocrystals widely used for labelling cells in order to enable cell tracking in complex environments in vitro, ex vivo and in vivo. They present many advantages over traditional fluorescent markers as they are resistant to photobleaching and have narrow emission spectra. Although QDs have been used effectively in cell tracking applications, their suitability has been questioned by reports showing they can affect stem cell behaviour and can be transferred to neighbouring cells. Using a variety of cellular and molecular biology techniques, we have investigated the effect of QDs on the proliferation and differentiation potential of two stem cell types: mouse embryonic stem cells and tissue-specific stem cells derived from mouse kidney. We have also tested if QDs released from living or dead cells can be taken up by neighbouring cells, and we have determined if QDs affect the degree of cell-cell fusion; this information is critical in order to assess the suitability of QDs for stem cell tracking. We show here that QDs have no effect on the viability, proliferation or differentiation potential of the two stem cell types. Furthermore, we show that the extent of transfer of QDs to neighbouring cells is <4%, and that QDs do not increase the degree of cell-cell fusion. However, although the QDs have a high labelling efficiency (>85%), they are rapidly depleted from both stem cell populations. Taken together, our results suggest that QDs are effective cell labelling probes that are suitable for short-term stem cell tracking.
Durability, dissemination, and institutionalization of worksite tobacco control programs: Results from the working well trial

Durability, dissemination and institutionalization of tobacco control activities arc reported, based on the Working Well worksite cancer control intervention study (n = 83 worksites). Tobacco control activities increased significantly in intervention worksites as a result of research-supported activities but were not sustained 2 years after the conclusion of the intervention. Intervention sites were more likely than control sites to initiate and maintain structures for institutionalizingprograms. such as assigning a committee responsibility for health-promotion programs or providing a budget for health-promoting activities. Dissemination of the program to control worksites had little impact on the level of smoking control activities in control worksites.Although program durability was not a primary aim of this intervention study, these analyses provide an important assessment of program maintenance beyond a funded intervention and underscore the need for additional research to identify effective organizational strategies for institutionalization of worksite health-promotion programs.
Formative Peer Assessment of Academic Writing Between Postgraduate Students

Reciprocal paired qualitative formative peer assessment of academic writing was undertaken by 12 postgraduate students of educational psychology. Overall, staff and peer assessments showed a very similar balance between positive and negative statements, but this varied according to assessment criterion. However, only half of all detailed formative assessment statements made showed some degree of correspondence between staff and peers. Nevertheless, there was very little evidence of conflict between the views of staff and peers-rather, they focused on different details. Subjective feedback from students indicated that most found the process time consuming, intellectually challenging and socially uncomfortable, but effective in improving the quality of their own subsequent written work and developing other transferable skills. The reliability and validity of this type of peer assessment thus appeared adequate, and the partiality of overlap in detail between staff and peer assessments suggested that the triangulation peer assessment offers is likely to add value. However, caution is indicated regarding the generalisation of this finding. Implications for action are outlined.
Extracting Disease-Symptom Relationships by Learning Syntactic Patterns from Dependency Graphs

Disease-symptom relationships are of primary importance for biomedical informatics, but databases that catalog them are incomplete in comparison with the state of the art available in the scientific literature. We propose in this paper a novel method for automatically extracting disease-symptom relationships from text, called SPARE (standing for Syntactic PAttern for Relationship Extraction). This method is composed of 3 successive steps: first, we learn patterns from the dependency graphs; second, we select best patterns based on their respective quality and specificity (their ability to identify only disease-symptom relationships); finally, the patterns are used on new texts for extracting disease-symptom relationships. We experimented SPARE on a corpus of 121,796 abstracts of PubMed related to 457 rare diseases. The quality of the extraction has been evaluated depending on the pattern quality and specificity. The best F-measure obtained is 55.65% (for speci f icity 0.5 and quality 0.5). To provide an insight on the novelty of disease-symptom relationship extracted, we compare our results to the content of phenotype databases (OrphaData and OMIM). Our results show the feasibility of automatically extracting disease-symptom relationships, including true relationships that were not already referenced in phenotype databases and may involve complex symptom descriptions.
The Use of Item-Response Theory in Social Work Measurement and Research

This article presents an overview of item-response theory and how it may be applied in social work. First, classical measurement theory is briefly discussed via the domain sampling model. Important limitations of classical theory are discussed. Item-response theory, and how it addresses these limitations, is then presented. The theory is then used to desribe the development and performance of a clinical-depression checklist. This scale's performance is compared with that of Hudson's Generalized Contentment Scale to illustrate the additional information available to the researcher and practitioner when using item-response theory analyses. Finally, applications of item-response theory in social work research and practice are discussed.
Theory as Thought: Britain and German Unification

Inspired by Rudra Sil and Peter Katzenstein's call for analytic eclecticism and making use of newly available, previously classified archival documents, we distill the essential logics of realism, neoliberal institutionalism, and constructivism and examine their role in shaping the debates amongst British policymakers in the context of German unification in 1989-90. We find that, although all the theoretical logics help shape the policymaking surrounding unification, none stands alone as a basis for understanding social reality. Indeed, all functioned together as British policymakers thought in terms of theory to make sense of German unification. The logic of realism clearly played an important role in shaping the perceptions of top British leadership, particularly Margaret Thatcher, of German unification as a problem. But realism did not determine the solution to the "problem. " Instead, British policymakers drew on the logic embedded in neoliberal institutionalism, turning to institutions to manage the unification process. The reason for this can be found in the role of constructivist logics-particularly identity and rhetorical entrapment-that constrained British policymakers to cooperative policy options. By taking this approach, this article makes several important contributions. First, it sheds light on British policy during a critical historical moment. Second, it significantly improves understanding regarding Germany's historical and current place in Europe. Third, it ties major theoretical traditions together through a foreign policy analytical approach, and in the process suggests that many of the theoretical boundaries separating scholars are overdrawn. Finally, the article pushes international relations scholars to keep in mind the complex relationship between reality and theory. In the final analysis, bringing to bear these three perspectives highlights the complexity of the processes that produced British policy-and by extension those that shaped German unification-as well as the importance of breaking free of the strictures of the ideas versus materiality debate.
EVOLUTIONARY ADAPTATION TO ENVIRONMENTAL pH IN EXPERIMENTAL LINEAGES OF ESCHERICHIA COLI

Abstract This study uses the enteric bacterium Escherichia coli as an experimental system to examine evolutionary responses of bacteria to an environmental acidic-alkaline range between pH 5.3 and 7.8 (15–5000 nM [H+]). Our goal was both to test general hypotheses about adaptation to abiotic variables and to provide insights into how coliform organisms might respond to changing conditions inside and outside of hosts. Six replicate lines of E. coli evolved for 2000 generations at one of four different constant pH conditions: pH 5.3, 6.3, 7.0, or 7.8. Direct adaptation to the evolutionary environment, as well as correlated changes in other environments, was measured as a change in fitness relative to the ancestor in direct competition experiments. The pH 5.3 group had the highest fitness gains, with a highly significant increase of 20%. The pH 7.8 group had far less significant gains and much higher variance among its lines. Analysis of individual lines within these two groups revealed complex patterns of adaptation: all of the pH 5.3 lines exhibited trade-offs (reduced fitness in another environment), but only 33% of the pH 7.8 lines showed such trade-offs and one of the pH 7.8 lines demonstrated exaptation by improving fitness in the pH 5.3 environment. Although there was also prevalent exaptation in other groups to the acidic environment, there were no such cases of exaptation to alkalinity. Comparison across the entire experimental pH range revealed that the most acidic lines, the pH 5.3 group, were all specialists, in contrast to the pH 6.3 lines, which were almost all generalists. That is, although none of the pH 5.3 lines showed any correlated fitness gains, all of the pH 6.3 lines did.
Exploiting Benefits from IS/IT Investments: An IT Culture Perspective

Despite huge global spend on IS/IT, empirical evidence shows many of these investments do not deliver expected benefits. Benefits are realized when organizations attend to contextual factors surrounding the implementation of IT and not just its technical implementation. Culture, as a contextual factor, has been shown to have a strong influence on the way IS/IT is adopted, used and exploited. We draw from IS organizational culture studies to show how individual/group IT cultures (IT culture archetypes) offer a user-centric perspective on benefits exploitation from IS/IT investments. The majority of benefits are achieved later into the lifecycle of an IS/IT investment, after implementing the IS/IT resource. Thus, this study investigates post adoption experience of an organization’s IS/IT investment, an important systems lifecycle stage that has received less attention in the IS literature. We adopt a single in-depth case study approach incorporating a three stage mixed data collection strategy. From a theoretical perspective, IT culture offers an intuitive approach to address IS/IT benefits management challenges during the post-adoption stage. From a practitioner perspective, we believe findings from this study, will offer several managerial implications for business and IT managers on specific actions to realize greater benefits from their IS/IT investments.
Automated test input generation for Android: are we really there yet in an industrial case?

Given the ever increasing number of research tools to automatically generate inputs to test Android applications (or simply apps), researchers recently asked the question "Are we there yet? " (in terms of the practicality of the tools). By conducting an empirical study of the various tools, the researchers found that Monkey (the most widely used tool of this category in industrial practices) outperformed all of the research tools that they studied. In this paper, we present two significant extensions of that study. First, we conduct the first industrial case study of applying Monkey against WeChat, a popular messenger app with over 762 million monthly active users, and report the empirical findings on Monkey's limitations in an industrial setting. Second, we develop a new approach to address major limitations of Monkey and accomplish substantial code-coverage improvements over Monkey, along with empirical insights for future enhancements to both Monkey and our approach.
Protective Immunity against Lethal F. tularensis holarctica LVS Provided by Vaccination with Selected Novel CD8+ T Cell Epitopes

Recently we described an unbiased bacterial whole-genome immunoinformatic analysis aimed at selection of potential CTL epitopes located in “hotspots” of predicted MHC-I binders. Applying this approach to the proteome of the facultative intra-cellular pathogen Francisella tularensis resulted in identification of 170 novel CTL epitopes, several of which were shown to elicit highly robust T cell responses. Here we demonstrate that by DNA immunization using a short DNA fragment expressing six of the most prominent identified CTL epitopes a potent and specific CD8+ T cell responses is being induced, to all encoded epitopes, a response not observed in control mice immunized with the DNA vector alone Moreover, this CTL-specific mediated immune response prevented disease development, allowed for a rapid clearance of the bacterial infection and provided complete protection against lethal challenge (10LD50) with F. tularensis holarctica Live Vaccine Strain (LVS) (a total to 30 of 30 immunized mice survived the challenge while all control DNA vector immunized mice succumbed). Furthermore, and in accordance with these results, CD8 deficient mice could not be protected from lethal challenge after immunization with the CTL-polyepitope. Vaccination with the DNA poly-epitope construct could even protect mice (8/10) against the more demanding pulmonary lethal challenge of LVS. Our approach provides a proof-of-principle for selecting and generating a multi-epitpoe CD8 T cell-stimulating vaccine against a model intracellular bacterium.
Efficient Axiom Pinpointing in EL using SAT Technology

We propose a novel approach to axiom pinpointing based on a reduction to the SAT task of minimal unsatisfiable subformula enumeration, allowing highly optimized algorithms and data structures developed for SAT solving in the last two decades to be used in this problem. Exploiting the specific properties of axiom pinpointing, we apply further optimizations resulting in considerable runtime improvements of several orders of magnitude. Our ideas are implemented in SATPin, a system capable of performing axiom pinpointing in large biomedical ontologies faster than other existing tools. While our paper focuses on a slight extension of EL, the presented approach directly generalizes to all ontology languages for which consequence-based reasoning methods are available.
Predicting 10-Year Risk of Fatal Cardiovascular Disease in Germany: An Update Based on the SCORE-Deutschland Risk Charts

Estimation of absolute risk of cardiovascular disease (CVD), preferably with population-specific risk charts, has become a cornerstone of CVD primary prevention. Regular recalibration of risk charts may be necessary due to decreasing CVD rates and CVD risk factor levels. The SCORE risk charts for fatal CVD risk assessment were first calibrated for Germany with 1998 risk factor level data and 1999 mortality statistics. We present an update of these risk charts based on the SCORE methodology including estimates of relative risks from SCORE, risk factor levels from the German Health Interview and Examination Survey for Adults 2008–11 (DEGS1) and official mortality statistics from 2012. Competing risks methods were applied and estimates were independently validated. Updated risk charts were calculated based on cholesterol, smoking, systolic blood pressure risk factor levels, sex and 5-year age-groups. The absolute 10-year risk estimates of fatal CVD were lower according to the updated risk charts compared to the first calibration for Germany. In a nationwide sample of 3062 adults aged 40–65 years free of major CVD from DEGS1, the mean 10-year risk of fatal CVD estimated by the updated charts was lower by 29% and the estimated proportion of high risk people (10-year risk > = 5%) by 50% compared to the older risk charts. This recalibration shows a need for regular updates of risk charts according to changes in mortality and risk factor levels in order to sustain the identification of people with a high CVD risk.
H∞ synchronization of fuzzy model based Chen chaotic systems

This study proposes the conditions of fuzzy model based H∞ synchronization to synchronize two Chen chaotic systems in finite time T and with pre-specified exponential convergence rate. Let the fuzzy controller be the form of parallel distributed compensation (PDC) and be designed to achieve the finite-time stability for the synchronization error system. The concept of Lyapunov theory, finite-time stability, H∞ control and LMI-based approach are employed to derive the main result. Finally, the simulation results have been shown the validity of the proposed approach.
The limited value of precise tests of the recognition heuristic

The recognition heuristic models the adaptive use and dominant role of recognition knowledge in judgment under uncertainty. Of the several predictions that the heuristic makes, empirical tests have predominantly focused on the proposed noncompensatory processing of recognition. Some authors have emphasized that the heuristic needs to be scrutinized based on precise tests of the exclusive use of recognition. Although precise tests have clear merits, I critically evaluate the value of such tests as they are currently employed. First, I argue that using precise measures of the exclusive use of recognition has to go beyond showing that the recognition heuristic—like every model—cannot capture reality completely. Second, I illustrate how precise tests based on response times can lead to unsubstantiated conclusions if the fact that the recognition heuristic does not model the recognition judgment itself is ignored. Finally, I highlight two key but so far neglected aspects of the recognition heuristic: (a) the connection between recognition memory and the recognition heuristic; and (b) the mechanisms underlying the adaptive use of recognition.
Adaptive Dynamics Learning and Q-initialization in the context of multiagent learning

Multiagent learning is a promising direction of the modern and future research in the context of intelligent systems. While the single-agent case has been well studied in the last two decades, the multiagent case has not been broadly studied due to its complexity. When several autonomous agents learn and act simultaneously, the environment becomes strictly unpredictable and all assumptions that are made in single-agent case, such as stationarity and the Markovian property, often do not hold in the multiagent context. In this Master’s work we study what has been done in this research field, and propose an original approach to multiagent learning in presence of adaptive agents. We explain why such an approach gives promising results by comparing it with other different existing approaches. It is important to note that one of the most challenging problems of all multiagent learning algorithms is their high computational complexity. This is due to the fact that the state space size of multiagent problem is exponential in the number of agents acting in the environment. In this work we propose a novel approach to the complexity reduction of the multiagent reinforcement learning. Such an approach permits to significantly reduce the part of the state space needed to be visited by the agents to learn an efficient solution. Then we evaluate our algorithms on a set of empirical tests and give a preliminary theoretical result, which is first step in forming the basis of validity of our approaches to multiagent learning.
Disability and Being `Normal': A Response to McLaughlin and Goodley

In a recent issue of Sociology, McLaughlin and Goodley (2008: 318) argue that some feminists and disability scholars are critical of postmodern and post-structuralist ‘celebrations of contingency, fluidity and deconstruction’ in the case of marginalized groups, ‘advocating in contrast the political necessity of certain truth claims and collective identities’. Marginalized groups ‘are assumed to require a level of certainty, which others in more privileged positions can live and thrive without’. The authors describe the postmodern use of symbols, such as homelessness and the nomad, to signify freedom and celebration, and also describe critics’ arguments that the real homeless, and other marginalized people, do not have this freedom of choice. The authors suggest that more empirical research is needed to explore how identities are managed in difficult everyday situations, and that ‘the debate has become stuck in an “either/or” scenario in which one either advocates transient fluidity or permanent structures of oppression’. In this article I argue that, in order to avoid seeing disabled families as victims, the authors seem to be creating another either/or argument, advocating a freedom that rarely exists for disabled people living in the ‘normal’ world, because of the paradoxes inherent in their situation.