A window of opportunity for abatacept in RA: is disease duration an independent predictor of low disease activity/remission in clinical practice?

The objective of the study was to examine whether disease duration independently predicts treatment response among biologic-naive patients with rheumatoid arthritis (RA) initiating abatacept in clinical practice. Using the Corrona RA registry (February 2006-January 2015), biologic-naive patients with RA initiating abatacept with 12-month (+/-3 months) follow-up and assessment of disease activity (Clinical Disease Activity Index [CDAI]) at initiation and at 12 months were identified. The primary outcome was mean change in CDAI (DeltaCDAI) from baseline to 12 months. Secondary outcomes at 12 months included achievement of low disease activity (LDA; CDAI 10 years, n = 79). Increased disease duration was associated with older age (p = 0.047), and the median number of prior conventional disease-modifying antirheumatic drugs used was lowest in the 0- to 2-year duration group (p \u3c 0.001). Mean DeltaCDAI (SE) ranged from -10.22 (1.19) for 0-2 years to -4.63 (1.38) for \u3e 10 years. In adjusted analyses, shorter disease duration was significantly associated with greater mean DeltaCDAI (p = 0.015) and greater likelihood of achieving LDA (p = 0.048). In biologic-naive patients with RA initiating abatacept, earlier disease (shorter disease duration) was associated with greater DeltaCDAI and likelihood of achieving LDA

A window of opportunity for abatacept in RA: is disease duration an independent predictor of low disease activity/remission in clinical practice

The objective of the study was to examine whether disease duration independently predicts treatment response among biologic-naive patients with rheumatoid arthritis (RA) initiating abatacept in clinical practice. Using the Corrona RA registry (February 2006-January 2015), biologic-naive patients with RA initiating abatacept with 12-month (+/-3 months) follow-up and assessment of disease activity (Clinical Disease Activity Index [CDAI]) at initiation and at 12 months were identified. The primary outcome was mean change in CDAI (DeltaCDAI) from baseline to 12 months. Secondary outcomes at 12 months included achievement of low disease activity (LDA; CDAI 10 years, n = 79). Increased disease duration was associated with older age (p = 0.047), and the median number of prior conventional disease-modifying antirheumatic drugs used was lowest in the 0- to 2-year duration group (p \u3c 0.001). Mean DeltaCDAI (SE) ranged from -10.22 (1.19) for 0-2 years to -4.63 (1.38) for \u3e 10 years. In adjusted analyses, shorter disease duration was significantly associated with greater mean DeltaCDAI (p = 0.015) and greater likelihood of achieving LDA (p = 0.048). In biologic-naive patients with RA initiating abatacept, earlier disease (shorter disease duration) was associated with greater DeltaCDAI and likelihood of achieving LDA

BMQ

BMQ: Boston Medical Quarterly was published from 1950-1966 by the Boston University School of Medicine and the Massachusetts Memorial Hospitals

Conversation acts in task-oriented spoken dialogue

A linguistic form\u27s compositional, timeless meaning can be surrounded or even contradicted by various social, aesthetic, or analogistic companion meanings. This paper addresses a series of problems in the structure of spoken language discourse, including turn-taking and grounding. It views these processes as composed of fine-grained actions, which resemble speech acts both in resulting from a computational mechanism of planning and in having a rich relationship to the specific linguistic features which serve to indicate their presence. The resulting notion of Conversation Acts is more general than speech act theory, encompassing not only the traditional speech acts but turn-taking, grounding, and higher-level argumentation acts as well. Furthermore, the traditional speech acts in this scheme become fully joint actions, whose successful performance requires full listener participation. This paper presents a detailed analysis of spoken language dialogue. It shows the role of each class of conversation acts in discourse structure, and discusses how members of each class can be recognized in conversation. Conversation acts, it will be seen, better account for the success of conversation than speech act theory alone

SHREC 2011: robust feature detection and description benchmark

Feature-based approaches have recently become very popular in computer vision and image analysis applications, and are becoming a promising direction in shape retrieval. SHREC'11 robust feature detection and description benchmark simulates the feature detection and description stages of feature-based shape retrieval algorithms. The benchmark tests the performance of shape feature detectors and descriptors under a wide variety of transformations. The benchmark allows evaluating how algorithms cope with certain classes of transformations and strength of the transformations that can be dealt with. The present paper is a report of the SHREC'11 robust feature detection and description benchmark results.Comment: This is a full version of the SHREC'11 report published in 3DO

Analyzing collaborative learning processes automatically

In this article we describe the emerging area of text classification research focused on the problem of collaborative learning process analysis both from a broad perspective and more specifically in terms of a publicly available tool set called TagHelper tools. Analyzing the variety of pedagogically valuable facets of learners’ interactions is a time consuming and effortful process. Improving automated analyses of such highly valued processes of collaborative learning by adapting and applying recent text classification technologies would make it a less arduous task to obtain insights from corpus data. This endeavor also holds the potential for enabling substantially improved on-line instruction both by providing teachers and facilitators with reports about the groups they are moderating and by triggering context sensitive collaborative learning support on an as-needed basis. In this article, we report on an interdisciplinary research project, which has been investigating the effectiveness of applying text classification technology to a large CSCL corpus that has been analyzed by human coders using a theory-based multidimensional coding scheme. We report promising results and include an in-depth discussion of important issues such as reliability, validity, and efficiency that should be considered when deciding on the appropriateness of adopting a new technology such as TagHelper tools. One major technical contribution of this work is a demonstration that an important piece of the work towards making text classification technology effective for this purpose is designing and building linguistic pattern detectors, otherwise known as features, that can be extracted reliably from texts and that have high predictive power for the categories of discourse actions that the CSCL community is interested in

Estimation of interdomain flexibility of N-terminus of factor H using residual dipolar couplings

Characterization of segmental flexibility is needed to understand the biological mechanisms of the very large category of functionally diverse proteins, exemplified by the regulators of complement activation, that consist of numerous compact modules or domains linked by short, potentially flexible, sequences of amino acid residues. The use of NMR-derived residual dipolar couplings (RDCs), in magnetically aligned media, to evaluate interdomain motion is established but only for two-domain proteins. We focused on the three N-terminal domains (called CCPs or SCRs) of the important complement regulator, human factor H (i.e. FH1-3). These domains cooperate to facilitate cleavage of the key complement activation-specific protein fragment, C3b, forming iC3b that no longer participates in the complement cascade. We refined a three-dimensional solution structure of recombinant FH1-3 based on nuclear Overhauser effects and RDCs. We then employed a rudimentary series of RDC datasets, collected in media containing magnetically aligned bicelles (disk-like particles formed from phospholipids) under three different conditions, to estimate interdomain motions. This circumvents a requirement of previous approaches for technically difficult collection of five independent RDC datasets. More than 80% of conformers of this predominantly extended three-domain molecule exhibit flexions of < 40 °. Such segmental flexibility (together with the local dynamics of the hypervariable loop within domain 3), could facilitate recognition of C3b via initial anchoring and eventual reorganization of modules to the conformation captured in the previously solved crystal structure of a C3b:FH1-4 complex

How much risk can you stomach? Individual differences in the tolerance of perceived risk across gender and risk domain

Research within the psychological risk-return framework, namely using the Domain-Specific Risk-Taking (DOSPERT) scale, has led to a conclusion that risk attitude—measured as an individual’s sensitivity to the risk they perceive—is stable across people (e.g., gender) and domains (e.g., recreational, social, financial, health). Risk-taking differences across gen-der and domain have been interpreted in terms of differences in the magnitude of risk per-ceived (and expected benefit). Yet, the DOSPERT scale items, contrived by researchers, ra-ther than decision-makers themselves, may have failed to detect differences in perceived risk attitude by failing to adequately represent all combinations of risks and benefits across gender and domains. In Study 1, participants generated their own examples of activities, which we selected among in Studies 2 and 3 to construct a new scale representing various levels of per-ceived risk and expected benefit. Our findings reveal that women are more sensitive than men to risk they perceive (i.e., are less tolerant of risk) in the recreational, social, and financial do-mains, but not the health domain. Risk attitude also differed across domains, with partici-pants tolerating more risk in some domains than in others. We conclude that gender and do-main differences in risk-taking stem partly from gender and domain differences in people’s sensitivity to perceived risks. Our findings have theoretical implications for the psychological risk-return framework and bridge with other theoretical approaches, such as the expected util-ity framework. Our studies also provide a new scale for assessing differences in attitudes to-ward risk that overcomes shortcomings of existing scales