727 research outputs found
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UAV laser scanning and terrestrial laser scanning point clouds of snow-on and snow-off conditions of a forest plot in the black forest at Hundseck, Baden-Württemberg, Germany [data]
No full textThis dataset consists of 3D point clouds acquired via UAV laser scanning (ULS) of a forest plot in the Black Forest in Hundseck, Germany. The plot was captured under snow conditions in January 2021, and the acquisition was repeated under snow-off conditions in February 2021. Additional terrestrial laser scanning (TLS) point clouds were acquired as reference. Details about the acquisition and preprocessing are described in the documentation. The data can be used to assess snow depths in the observation period, as well as the topography and vegetation structure
ErKon3D - Quantifying Deformation in Aegean Sealing Practices [Dataset]
No full textIn Bronze Aegean society, seals played an important role by authenticating, securing and marking. The study of the seals and their engraved motifs provides valuable insight into the social and political organization and administration of Aegean societies. A key research question is the determination of authorship and origin. Given several sets of similar impressions with a wide geographical distribution on Crete, and even beyond the island, the question arises as to whether all of them originated from the same seal and thus the same seal user. Current archaeological practice focuses on manually and qualitatively distinguishing visual features. In this work, we quantitatively evaluate and highlight visual differences between sets of seal impressions, enabling archaeological research to focus on measurable differences. Our data are plasticine and latex casts of original seal impressions acquired with a structured-light 3D scanner. Surface curvature of 3D meshes is computed with Multi-Scale Integral Invariants (MSII) and rendered into 2D images. Then, visual feature descriptors are extracted and used in a two-stage registration process. A rough rigid fit is followed by non-rigid fine-tuning on basis of thin-plate splines (TPS). We compute and visualize all pairwise differences in a set of seal impressions, making outliers easily visible showing significantly different impressions. To validate our approach, we construct a-priori synthetic deformations between impressions that our method reverses. Our method and its parameters is evaluated on the resulting difference. For testing real-world applicability, we manufactured two sets of physical seal impressions, with a-priori known manufactured differences, against which our method is tested
ARPC5 Isoforms and Their Regulation by Calcium-Cal 1 modulin-N-WASP Drive Distinct Arp2/3-dependent Actin Remodeling Events in CD4 T Cells [Source Data Files]
No full textThis dataset contains the source data files of the article 'ARPC5 Isoforms and Their Regulation by Calcium-Cal 1 modulin-N-WASP Drive Distinct Arp2/3-dependent Actin Remodeling Events in CD4 T Cells' by Sadhu et al. pulished in eLife
Doubly Bridged Anthracenes: Blue Emitters for OLEDs [data]
No full textThe photooxidative stability of a series of doubly bridged anthracenes was evaluated after their preparation via twofold macrocyclization of a bis(resorcinyl)anthracene. Lightfastness correlates with the energy levels of the highest occupied molecular orbital (HOMO), resulting in superior stability of the tetraesters compared to the tetraethers. The lengths and steric demand of the linker only plays a minor role for the ester-based compounds, which can be prepared in reasonable yields and thus tested in proof-of-concept organic light-emitting diodes. Double ester-bridging allows deep blue electro-luminescence, highlighting the importance of the choice of the functional groups used for macrocyclization
Pneumonia in the first week after polytrauma is associated with reduced blood levels of soluble HVEM [research data]
No full textBackground:
Pneumonia develops frequently after major surgery and polytrauma, and in the presence of systemic inflammatory response syndrome (SIRS) and organ dysfunction. Immune checkpoints balance self-tolerance and immune activation. Altered checkpoint blood levels were reported for sepsis. We analyzed associations of pneumonia incidence in the presence of SIRS during the first week of critical illness and trends in checkpoint blood levels.
Materials and methods:
Patients were studied from day two to six after admission to a surgical intensive care unit (ICU). Blood was sampled and physician experts retrospectively adjudicated upon the presence of SIRS and Sepsis-1/2 every eight hours. We measured the daily levels of immune checkpoints and inflammatory markers by bead arrays for polytrauma patients developing pneumonia. Immune checkpoint time series were additionally determined for clinically highly similar polytrauma controls remaining infection-free during follow-up. We performed cluster analyses. Immune checkpoint time trends in cases and controls were compared with hierarchical linear models. For patients with surgical trauma and with and without sepsis, selected immune checkpoints were determined in study baseline samples.
Results:
In polytrauma patients with incident pneumonia, eleven immune checkpoints dominated subcluster 3 that separated subclusters 1 and 2 of myeloid markers from subcluster 4 of endothelial activation, tissue inflammation and adaptive immunity markers. Immune checkpoint blood levels were more stable in polytrauma cases than controls, where they trended towards an increase in subcluster A and a decrease in subcluster B. Herpes virus entry mediator (HVEM) levels (subcluster A) were lower in cases throughout. In unselected surgical patients, sepsis was not associated with altered HVEM levels at the study baseline.
Conclusions:
Pneumonia development after polytrauma until ICU-day six was associated with decreased blood levels of HVEM. HVEM signaling may reduce pneumonia risk by strengthening myeloid antimicrobial defense and dampening lymphoid-mediated tissue damage. Future investigations into the role of HVEM in pneumonia and sepsis development and as a predictive biomarker should consider the etiology of critical illness and the site of infection
High‑status individuals are held to higher ethical standards [Dataset]
No full textAlthough there is evidence for the generosity of high‑status individuals, there seems to be a strong perception that the elites are selfish and contribute little to others’ welfare, and even less so than poorer people. We argue that this perception may derive from a gap between normative and empirical expectations regarding the behavior of the elites. Using large‑scale survey experiments, we show that high‑status individuals are held to higher ethical standards in both the US and China, and that there is a strong income gradient in normatively expected generosity. We also present evidence for a gap between people’s normative expectations of how the rich should behave, and their empirical expectations of how they actually do: empirical expectations are generally lower than both normative expectations and actual giving
Deep learning for the detection of anatomical tissue structures and neoplasms of the skin on scanned histopathological tissue sections [data]
No full textBasal cell carcinoma (BCC), squamous cell carcinoma (SqCC) and melanoma are among the most common cancer types. Correct diagnosis based on histological evaluation after biopsy or excision is paramount for adequate therapy stratification. Deep learning on histological slides has been suggested to complement and improve routine diagnostics. Publicly available curated and annotated data and usable models trained to distinguish common skin tumors are rare and often lack heterogeneous non-tumor categories.
A total of 16 classes from 386 cases were manually annotated on scanned histological slides, 129364 100 x 100 µm (395 x 395 px) image tiles were extracted and split into a training, validation and test set. An EfficientV2 neuronal network was trained and optimized to classify image categories. Cross entropy loss, balanced accuracy and Matthews correlation coefficient were used for model evaluation. Image and patient data were assessed with confusion matrices.
Application of the model to an external set of whole slides facilitated tumor localization. Automated differentiation of BCC, SqCC, melanoma, naevi and non-tumor tissue structures was possible, and a high diagnostic accuracy was achieved in the validation (98%) and test (97%) set.
In summary, we provide a curated dataset including the most common neoplasms of the skin and various anatomical compartments to enable researchers to train, validate and improve deep learning models. Automated classification of skin tumors by deep learning techniques is possible with high accuracy, facilitates tumor localization and has the potential to support and improve routine diagnostics
Ground Truth transcriptions for training OCR of historical Bengali printed texts – Recognition of Early Indian Printed Documents competition - updated with improved XML coordinates
No full textThis dataset comprises 81 digitised images (TIFF files) drawn from a selection of early printed Bengali books (1713-1914) digitised through the Two Centuries of Indian Print project (https://www.bl.uk/projects/two-centuries-of-indian-print). Also contained are ground truth transcriptions (XML) for each page that can be used for training optical character recognition software on historical Bengali printed text. The folder contains the images and ground truth used for the REID2019 competition (https://www.primaresearch.org/REID2019/), part of ICDAR 2019 (https://icdar2019.org/competitions-2/). The images are out of copyright and the transcriptions are also public domain. This dataset is an updated version of Ground Truth transcriptions for training OCR of historical Bengali printed texts – Recognition of Early Indian Printed Documents competition with 48 xml files updated with more accurate text line coordinates
Impact of adverse and protective childhood experiences on symptom improvement rate of anxiety disorders [Analysis]
No full textThis dataset contains the complete analysis and results which were conducted for the study 'Impact of adverse and protective childhood experiences on symptom improvement rate of anxiety disorders' within one RMarkdown-Sheet
Risk and incidence of endocrine immune related adverse effects under checkpoint inhibitor mono or combination therapy in solid tumors: a meta-analysis of randomized controlled trials [data]
No full textSupplemental Materials
Abstract
Context
Few meta-analyses regarding the incidence of endocrine immune related adverse effects (eirAEs) have been published and many trials were published thereafter.
Objective
To assess the risk and incidence of eirAEs of any grade and grade 3-5 by immune checkpoint inhibitor (ICI) mono or combination-therapy in solid tumors current literature was updated in this comprehensive meta-analysis.
Methods
An electronic search using PubMed/Medline, Embase and the Cochrane Library was performed. Randomized controlled studies (RCT) assessing eirAEs under ICI-mono or ICI-combination therapy were selected. Stata software version 17 was used for statistical analyses and risk of bias was evaluated by using Review Manager version 5.3.
Results
69 RCTs with 80 independent reports, involving 42,886 patients were included in the study. Meta-analysis revealed the following pooled estimates for the risk ratio and the incidence, respectively: for any grade hypothyroidism 7.81 (95% CI, 5.68-10.74, p< 0.0001) and 7.64% (95% CI, 6.23-9.17, p< 0.0001); significantly increased also for hyperthyroidism, hypophysitis/hypopituitarism and adrenal insufficiency; and for insulin-dependent diabetes mellitus 1.52 (95% CI, 1.07-2.18, p= 0.02), and 0.087% (95% CI, 0.019-0.189, p= 0.0006), respectively. Meta-regression showed that combination of ICIs (nivolumab plus ipilimumab and durvalumab plus tremelimumab, respectively) is an independent risk factor for any grade hypophysitis/hypopituitarism, and that ICI agent is an independent factor of risk for adrenal insufficiency, but that cancer type is not an independent risk factor for eirAEs.
Conclusion
We showed that risk, independent from cancer type, and incidence of eAEs are substantially increased under ICI therapy. Combination of ICIs is increasing the risk for eirAEs, in particular for hypophysitis/hypopituitarism