73 research outputs found
Do guidelines influence breathlessness management in advanced lung diseases? A multinational survey of respiratory medicine and palliative care physicians
Background: Respiratory medicine (RM) and palliative care (PC) physicians’ management of chronic breathlessness in advanced chronic obstructive pulmonary disease (COPD), fibrotic interstitial lung disease (fILD) and lung cancer (LC), and the influence of practice guidelines was explored via an online survey. Methods: A voluntary, online survey was distributed to RM and PC physicians via society newsletter mailing lists. Results: 450 evaluable questionnaires (348 (77%) RM and 102 (23%) PC) were analysed. Significantly more PC physicians indicated routine use (often/always) of opioids across conditions (COPD: 92% vs. 39%, fILD: 83% vs. 36%, LC: 95% vs. 76%; all p < 0.001) and significantly more PC physicians indicated routine use of benzodiazepines for COPD (33% vs. 10%) and fILD (25% vs. 12%) (both p < 0.001). Significantly more RM physicians reported routine use of a breathlessness score (62% vs. 13%, p < 0.001) and prioritised exercise training/rehabilitation for COPD (49% vs. 7%) and fILD (30% vs. 18%) (both p < 0.001). Overall, 40% of all respondents reported reading non-cancer palliative care guidelines (either carefully or looked at them briefly). Respondents who reported reading these guidelines were more likely to: routinely use a breathlessness score (χ2 = 13.8; p < 0.001), use opioids (χ2 = 12.58, p < 0.001) and refer to pulmonary rehabilitation (χ2 = 6.41, p = 0.011) in COPD; use antidepressants (χ2 = 6.25; p = 0.044) and refer to PC (χ2 = 5.83; p = 0.016) in fILD; and use a handheld fan in COPD (χ2 = 8.75, p = 0.003), fILD (χ2 = 4.85, p = 0.028) and LC (χ2 = 5.63; p = 0.018). Conclusions: These findings suggest a need for improved dissemination and uptake of jointly developed breathlessness management guidelines in order to encourage appropriate use of existing, evidence-based therapies. The lack of opioid use by RM, and continued benzodiazepine use in PC, suggest that a wider range of acceptable therapies need to be developed and trialled
The Caenorhabditis elegans GATA Factor ELT-1 Works through the Cell Proliferation Regulator BRO-1 and the Fusogen EFF-1 to Maintain the Seam Stem-Like Fate
Seam cells in Caenorhabditis elegans provide a paradigm for the stem cell mode of division, with the ability to both self-renew and produce daughters that differentiate. The transcription factor RNT-1 and its DNA binding partner BRO-1 (homologues of the mammalian cancer-associated stem cell regulators RUNX and CBFβ, respectively) are known rate-limiting regulators of seam cell proliferation. Here, we show, using a combination of comparative genomics and DNA binding assays, that bro-1 expression is directly regulated by the GATA factor ELT-1. elt-1(RNAi) animals display similar seam cell lineage defects to bro-1 mutants, but have an additional phenotype in which seam cells lose their stem cell-like properties and differentiate inappropriately by fusing with the hyp7 epidermal syncytium. This phenotype is dependent on the fusogen EFF-1, which we show is repressed by ELT-1 in seam cells. Overall, our data suggest that ELT-1 has dual roles in the stem-like seam cells, acting both to promote proliferation and prevent differentiation
Bias and Evolution of the Mutationally Accessible Phenotypic Space in a Developmental System
Genetic and developmental architecture may bias the mutationally available phenotypic spectrum. Although such asymmetries in the introduction of variation may influence possible evolutionary trajectories, we lack quantitative characterization of biases in mutationally inducible phenotypic variation, their genotype-dependence, and their underlying molecular and developmental causes. Here we quantify the mutationally accessible phenotypic spectrum of the vulval developmental system using mutation accumulation (MA) lines derived from four wild isolates of the nematodes Caenorhabditis elegans and C. briggsae. The results confirm that on average, spontaneous mutations degrade developmental precision, with MA lines showing a low, yet consistently increased, proportion of developmental defects and variants. This result indicates strong purifying selection acting to maintain an invariant vulval phenotype. Both developmental system and genotype significantly bias the spectrum of mutationally inducible phenotypic variants. First, irrespective of genotype, there is a developmental bias, such that certain phenotypic variants are commonly induced by MA, while others are very rarely or never induced. Second, we found that both the degree and spectrum of mutationally accessible phenotypic variation are genotype-dependent. Overall, C. briggsae MA lines exhibited a two-fold higher decline in precision than the C. elegans MA lines. Moreover, the propensity to generate specific developmental variants depended on the genetic background. We show that such genotype-specific developmental biases are likely due to cryptic quantitative variation in activities of underlying molecular cascades. This analysis allowed us to identify the mutationally most sensitive elements of the vulval developmental system, which may indicate axes of potential evolutionary variation. Consistent with this scenario, we found that evolutionary trends in the vulval system concern the phenotypic characters that are most easily affected by mutation. This study provides an empirical assessment of developmental bias and the evolution of mutationally accessible phenotypes and supports the notion that such bias may influence the directions of evolutionary change
Common Limitations of Image Processing Metrics:A Picture Story
While the importance of automatic image analysis is continuously increasing,
recent meta-research revealed major flaws with respect to algorithm validation.
Performance metrics are particularly key for meaningful, objective, and
transparent performance assessment and validation of the used automatic
algorithms, but relatively little attention has been given to the practical
pitfalls when using specific metrics for a given image analysis task. These are
typically related to (1) the disregard of inherent metric properties, such as
the behaviour in the presence of class imbalance or small target structures,
(2) the disregard of inherent data set properties, such as the non-independence
of the test cases, and (3) the disregard of the actual biomedical domain
interest that the metrics should reflect. This living dynamically document has
the purpose to illustrate important limitations of performance metrics commonly
applied in the field of image analysis. In this context, it focuses on
biomedical image analysis problems that can be phrased as image-level
classification, semantic segmentation, instance segmentation, or object
detection task. The current version is based on a Delphi process on metrics
conducted by an international consortium of image analysis experts from more
than 60 institutions worldwide.Comment: This is a dynamic paper on limitations of commonly used metrics. The
current version discusses metrics for image-level classification, semantic
segmentation, object detection and instance segmentation. For missing use
cases, comments or questions, please contact [email protected] or
[email protected]. Substantial contributions to this document will be
acknowledged with a co-authorshi
Understanding metric-related pitfalls in image analysis validation
Validation metrics are key for the reliable tracking of scientific progress
and for bridging the current chasm between artificial intelligence (AI)
research and its translation into practice. However, increasing evidence shows
that particularly in image analysis, metrics are often chosen inadequately in
relation to the underlying research problem. This could be attributed to a lack
of accessibility of metric-related knowledge: While taking into account the
individual strengths, weaknesses, and limitations of validation metrics is a
critical prerequisite to making educated choices, the relevant knowledge is
currently scattered and poorly accessible to individual researchers. Based on a
multi-stage Delphi process conducted by a multidisciplinary expert consortium
as well as extensive community feedback, the present work provides the first
reliable and comprehensive common point of access to information on pitfalls
related to validation metrics in image analysis. Focusing on biomedical image
analysis but with the potential of transfer to other fields, the addressed
pitfalls generalize across application domains and are categorized according to
a newly created, domain-agnostic taxonomy. To facilitate comprehension,
illustrations and specific examples accompany each pitfall. As a structured
body of information accessible to researchers of all levels of expertise, this
work enhances global comprehension of a key topic in image analysis validation.Comment: Shared first authors: Annika Reinke, Minu D. Tizabi; shared senior
authors: Paul F. J\"ager, Lena Maier-Hei
Network effects in two-sided markets: why a 50/50 user split is not necessarily revenue optimal
Funeral Car of President Lincoln.
The pink-hued cabinet card features a photograph of an illustration (possibly an engraving or lithograph) of Abraham Lincoln\u27s funeral car in New York, 26 April 1865. In the image, the car is adorned with ostrich plumes, bunting, and flags. Sixteen horses are shown pulling the car and various soldiers march alongside the procession.https://scholarsjunction.msstate.edu/fvw-artifacts/4442/thumbnail.jp
Sur la théorie de la monarchie
Eisenmann Charles. Sur la théorie de la monarchie. In: Revue française de science politique, 5ᵉ année, n°1, 1955. pp. 138-146
Major Atom
Carte de visite photograph of 'midget' performer Major Atom. 'Age 15' written on reverse. Also known as Samuel Kahn, he was the nephew of midget performer Leopold Kahn (Admiral Dot)
Mrs A. H. Bates and Captain M. V. Bates and Unknown Man.
Carte de visite studio photograph of 'Giant' performers Mrs A. H. Bates and Captain M. V. Bates and unknown man. Mrs Bates Born August 6th 1848. Height 7 Feet 11.5 inches, weight 413 pounds. Captain Bates Born November 9th 1845 Height 7 Feet 11.5 inches weight 478 pounds
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