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Data from functional trait databases have been increasingly used to address questions related to plant diversity and trait-environment relationships. However, such databases provide intraspecific data that combine individual records obtained from distinct populations at different sites and, hence, environmental conditions. This prevents distinguishing sources of variation (e.g., genetic-based variation vs. phenotypic plasticity), a necessary condition to test for adaptive processes and other determinants of plant phenotypic diversity. Consequently, individual traits measured under common growing conditions and encompassing within-species variation across the occupied geographic range have the potential to leverage trait databases with valuable data for functional and evolutionary ecology. Here, we recorded 16 functional traits and leaf hyperspectral reflectance (NIRS) data for 721 widely distributed Arabidopsis thaliana natural accessions grown in a common garden experiment. These data records, together with meteorological variables obtained during the experiment, were assembled to create the AraDiv dataset. AraDiv is a comprehensive dataset of A. thaliana's intraspecific variability that can be explored to address questions at the interface of genetics and ecology. [ABSTRACT FROM AUTHOR]

Detecting fine-grained human action from video sequence is challenging. In this work, we propose to decompose this difficult analytic problem into two sequential tasks with increasing granularity. Firstly, we infer the coarse interaction status, i.e., which object is being manipulated and where the interaction occurs. To address the issue of frequent mutual occlusions during manipulation, we propose an interaction tracking framework in which hand (object) position and interaction status are jointly tracked by explicitly modeling the occlusion context. Secondly, for a given query sequence, the inferred interaction status is utilized to efficiently identify a small set of candidate matching sequences from the annotated training set. Frame-level action labels are then transferred to the query sequence by setting up the matching between the query and candidate sequences. Comprehensive experiments on two challenging fine-grained activity datasets show that: (1) the proposed interaction tracking approach achieves high tracking accuracy for multiple mutually occluded objects (hands) during manipulation action; and (2) the proposed multiple granularity analysis framework achieves superior action detection performance improvement over state-of-the-art methods. [ABSTRACT FROM AUTHOR]

Ineffective spatial-temporal motion feature pooling has been a fundamental bottleneck for human action recognition/detection for decades. Previous pooling schemes such as global, spatial-temporal pyramid, or human and object centric pooling fail to capture discriminative motion patterns because informative movements only occur in specific regions of the human body, that depend on the type of action being performed. Global (holistic) motion feature pooling methods therefore often result in an action representation with limited discriminative capability. To address this fundamental limitation, we propose an adaptive motion feature pooling scheme that utilizes human poses as side information. Such poses can be detected for instance in assisted living and indoor smart surveillance scenarios. Taking both video sub-volumes for pooling and human pose types as hidden variables, we formulate the motion feature pooling problem as a latent structural learning problem where the relationship between the discriminative pooling video sub-volumes and the pose types is learned. The resulting pose adaptive motion feature pooling scheme is extensively tested on assisted living and smart surveillance datasets and on general action recognition benchmarks. Improved action recognition and detection performances are demonstrated. [ABSTRACT FROM AUTHOR]

Dipeptidyl peptidase IV (DPP4) is a peptidase whose inhibition is beneficial in Type II diabetes treatment. Several evidences suggest potential implication of DPP4 in skin disorders such as psoriasis, keloids and fibrotic skin diseases where its inhibition could also be beneficial. DPP4 expression in human skin was described mainly in dermal fibroblasts and a subset of keratinocytes in the basal layer. Of importance in the perspective of preclinical experimentation, DPP4 distribution in skin of non-human primate species has not been documented. This report evidences unexpected differences between a set of human and cynomolgus monkey skin samples revealing a major expression of DPP4 in eccrine sweat glands of cynomolgus monkeys but not in humans. This represents a unique distinctive feature compared to the conserved expression of dipeptidyl peptidases 8 and 9 and potential relevant DPP4 substrates such as neuropeptide Y (NPY) and receptors (NPY-receptor 1 and Neurokinin receptor). Finally the observation that cathepsin D, an unrelated protease, shows the opposite expression compared to DPP4 (present in human but not in cynomolgus monkey eccrine sweat glands) could indicate that human eccrine sweat glands evolved a divergent protease repertoire compared to non-human primates. These unexpected differences in the eccrine sweat glands protease repertoire will need to be confirmed extending the analysis to a major number of donors but could imply possible biochemical divergences, reflecting the functional evolution of the glands and the control of their activity. Our findings also demonstrate that non-human primates studies aiming at understanding DPP4 function in skin biology are not readily translatable to human. [ABSTRACT FROM AUTHOR]

Earlier and more reliable detection of drug-induced kidney injury would improve clinical care and help to streamline drug-development. As the current standards to monitor renal function, such as blood urea nitrogen (BUN) or serum creatinine (SCr), are late indicators of kidney injury, we conducted ten nonclinical studies to rigorously assess the potential of four previously described nephrotoxicity markers to detect drug-induced kidney and liver injury. Whereas urinary clusterin outperformed BUN and SCr for detecting proximal tubular injury, urinary total protein, cystatin C and β2-microglobulin showed a better diagnostic performance than BUN and SCr for detecting glomerular injury. Gene and protein expression analysis, in-situ hybridization and immunohistochemistry provide mechanistic evidence to support the use of these four markers for detecting kidney injury to guide regulatory decision making in drug development. The recognition of the qualification of these biomarkers by the EMEA and FDA will significantly enhance renal safety monitoring. [ABSTRACT FROM AUTHOR]

Antibodies targeting IL-17A or its receptor IL-17RA show unprecedented efficacy in the treatment of autoimmune diseases such as psoriasis. These therapies, by neutralizing critical mediators of immunity, may increase susceptibility to infections. Here, we compared the effect of antibodies neutralizing IL-17A, IL-17F or TNFα on murine host responses to Mycobacterium tuberculosis infection by evaluating lung transcriptomic, microbiological and histological analyses. Coinciding with a significant increase of mycobacterial burden and pathological changes following TNFα blockade, gene array analyses of infected lungs revealed major changes of inflammatory and immune gene expression signatures 4 weeks post-infection. Specifically, gene expression associated with host-pathogen interactions, macrophage recruitment, activation and polarization, host-antimycobacterial activities, immunomodulatory responses, as well as extracellular matrix metallopeptidases, were markedly modulated by TNFα blockade. IL-17A or IL-17F neutralization elicited only mild changes of few genes without impaired host resistance four weeks after M. tuberculosis infection. Further, the absence of both IL-17RA and IL-22 pathways in genetically deficient mice did not profoundly compromise host control of M. tuberculosis over a 6-months period, ruling out potential compensation between these two pathways, while TNFα-deficient mice succumbed rapidly. These data provide experimental confirmation of the low clinical risk of mycobacterial infection under anti-IL-17A therapy, in contrast to anti-TNFα treatment. [ABSTRACT FROM AUTHOR]