Cluster (spacecraft)
View article: Cluster failure: Why fMRI inferences for spatial extent have inflated false-positive rates
Cluster failure: Why fMRI inferences for spatial extent have inflated false-positive rates Open
Significance Functional MRI (fMRI) is 25 years old, yet surprisingly its most common statistical methods have not been validated using real data. Here, we used resting-state fMRI data from 499 healthy controls to conduct 3 million task gro…
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antiSMASH 6.0: improving cluster detection and comparison capabilities Open
Many microorganisms produce natural products that form the basis of antimicrobials, antivirals, and other drugs. Genome mining is routinely used to complement screening-based workflows to discover novel natural products. Since 2011, the "a…
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Citation-based clustering of publications using CitNetExplorer and VOSviewer Open
Clustering scientific publications in an important problem in bibliometric research. We demonstrate how two software tools, CitNetExplorer and VOSviewer, can be used to cluster publications and to analyze the resulting clustering solutions…
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Platinum single-atom and cluster catalysis of the hydrogen evolution reaction Open
Platinum-based catalysts have been considered the most effective electrocatalysts for the hydrogen evolution reaction in water splitting. However, platinum utilization in these electrocatalysts is extremely low, as the active sites are onl…
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Clinical and virological data of the first cases of COVID-19 in Europe: a case series Open
REACTing (Research & Action Emerging Infectious Diseases).
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Integration K-Means Clustering Method and Elbow Method For Identification of The Best Customer Profile Cluster Open
Clustering is a data mining technique used to analyse data that has variations and the number of lots. Clustering was process of grouping data into a cluster, so they contained data that is as similar as possible and different from other c…
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Coronavirus disease 2019: What we know? Open
In late December 2019, a cluster of unexplained pneumonia cases has been reported in Wuhan, China. A few days later, the causative agent of this mysterious pneumonia was identified as a novel coronavirus. This causative virus has been temp…
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Cluster Quality Analysis Using Silhouette Score Open
Clustering is an important phase in data mining. Selecting the number of clusters in a clustering algorithm, e.g. choosing the best value of k in the various k-means algorithms [1], can be difficult. We studied the use of silhouette scores…
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A Familial Cluster of Infection Associated With the 2019 Novel Coronavirus Indicating Possible Person-to-Person Transmission During the Incubation Period Open
An ongoing outbreak of pneumonia associated with 2019 novel coronavirus was reported in China. It is unclear whether the virus is infective exists during the incubation period, although person-to-person transmission has been reported elsew…
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First cases of coronavirus disease 2019 (COVID-19) in the WHO European Region, 24 January to 21 February 2020 Open
In the WHO European Region, COVID-19 surveillance was implemented 27 January 2020. We detail the first European cases. As at 21 February, nine European countries reported 47 cases. Among 38 cases studied, 21 were linked to two clusters in …
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Real-time forecasts of the COVID-19 epidemic in China from February 5th to February 24th, 2020 Open
The initial cluster of severe pneumonia cases that triggered the COVID-19 epidemic was identified in Wuhan, China in December 2019. While early cases of the disease were linked to a wet market, human-to-human transmission has driven the ra…
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heatmaply: an R package for creating interactive cluster heatmaps for online publishing Open
Summary heatmaply is an R package for easily creating interactive cluster heatmaps that can be shared online as a stand-alone HTML file. Interactivity includes a tooltip display of values when hovering over cells, as well as the ability to…
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Coupled-cluster techniques for computational chemistry: The <span>CFOUR</span> program package Open
An up-to-date overview of the CFOUR program system is given. After providing a brief outline of the evolution of the program since its inception in 1989, a comprehensive presentation is given of its well-known capabilities for high-level c…
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Clustering a Chemical Inventory for Safety Assessment of Fragrance Ingredients: Identifying Read-Across Analogs to Address Data Gaps Open
A valuable approach to chemical safety assessment is the use of read-across chemicals to provide safety data to support the assessment of structurally similar chemicals. An inventory of over 6000 discrete organic chemicals used as fragranc…
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Star Clusters Across Cosmic Time Open
Star clusters stand at the intersection of much of modern astrophysics: the ISM, gravitational dynamics, stellar evolution, and cosmology. Here, we review observations and theoretical models for the formation, evolution, and eventual disru…
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First cases of coronavirus disease 2019 (COVID-19) in France: surveillance, investigations and control measures, January 2020 Open
A novel coronavirus (severe acute respiratory syndrome coronavirus 2, SARS-CoV-2) causing a cluster of respiratory infections (coronavirus disease 2019, COVID-19) in Wuhan, China, was identified on 7 January 2020. The epidemic quickly diss…
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High-Density Ultra-small Clusters and Single-Atom Fe Sites Embedded in Graphitic Carbon Nitride (g-C<sub>3</sub>N<sub>4</sub>) for Highly Efficient Catalytic Advanced Oxidation Processes Open
Ultra-small metal clusters have attracted great attention owing to their superior catalytic performance and extensive application in heterogeneous catalysis. However, the synthesis of high-density metal clusters is very challenging due to …
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Indirect Virus Transmission in Cluster of COVID-19 Cases, Wenzhou, China, 2020 Open
To determine possible modes of virus transmission, we investigated a cluster of coronavirus disease cases associated with a shopping mall in Wenzhou, China. Data indicated that indirect transmission of the causative virus occurred, perhaps…
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Contrastive Clustering Open
In this paper, we propose an online clustering method called Contrastive Clustering (CC) which explicitly performs the instance- and cluster-level contrastive learning. To be specific, for a given dataset, the positive and negative instanc…
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Keep Calm and Learn Multilevel Logistic Modeling: A Simplified Three-Step Procedure Using Stata, R, Mplus, and SPSS Open
This paper aims to introduce multilevel logistic regression analysis in a simple and practical way. First, we introduce the basic principles of logistic regression analysis (conditional probability, logit transformation, odds ratio). Secon…
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A Cluster-Randomized Trial of Blood-Pressure Reduction in Black Barbershops Open
BACKGROUND Uncontrolled hypertension is a major problem among non-Hispanic black men, who are underrepresented in pharmacist intervention trials in traditional health care settings. METHODS We enrolled a cohort of 319 black male patrons wi…
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Analysis of K-Means and K-Medoids Algorithm For Big Data Open
Clustering plays a very vital role in exploring data, creating predictions and to overcome the anomalies in the data. Clusters that contain collateral, identical characteristics in a dataset are grouped using reiterative techniques. As the…
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The Extent of Transmission of Novel Coronavirus in Wuhan, China, 2020 Open
A cluster of pneumonia cases linked to a novel coronavirus (2019-nCoV) was reported by China in late December 2019. Reported case incidence has now reached the hundreds, but this is likely an underestimate. As of 24 January 2020, with repo…
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Risk Factors for Childhood Stunting in 137 Developing Countries: A Comparative Risk Assessment Analysis at Global, Regional, and Country Levels Open
FGR and unimproved sanitation are the leading risk factors for stunting in developing countries. Reducing the burden of stunting requires a paradigm shift from interventions focusing solely on children and infants to those that reach mothe…
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Clusters of circulating tumor cells traverse capillary-sized vessels Open
Significance Metastasis is responsible for 90% of cancer-related deaths and is driven by tumor cells circulating in blood. However, it is believed that only individual tumor cells can reach distant organs because multicellular clusters are…
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Aggregate Science: From Structures to Properties Open
Molecular science entails the study of structures and properties of materials at the level of single molecules or small interacting complexes of molecules. Moving beyond single molecules and well‐defined complexes, aggregates (i.e., irregu…
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Diagnosis and Classification of 17 Diseases from 1404 Subjects <i>via</i> Pattern Analysis of Exhaled Molecules Open
We report on an artificially intelligent nanoarray based on molecularly modified gold nanoparticles and a random network of single-walled carbon nanotubes for noninvasive diagnosis and classification of a number of diseases from exhaled br…
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Painting a portrait of the Galactic disc with its stellar clusters Open
Context. The large astrometric and photometric survey performed by the Gaia mission allows for a panoptic view of the Galactic disc and its stellar cluster population. Hundreds of stellar clusters were only discovered after the latest Gaia…
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Reactivity of Metal Clusters Open
We summarize here the research advances on the reactivity of metal clusters. After a simple introduction of apparatuses used for gas-phase cluster reactions, we focus on the reactivity of metal clusters with various polar and nonpolar mole…
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Oriented electron transmission in polyoxometalate-metalloporphyrin organic framework for highly selective electroreduction of CO2 Open
The design of highly stable, selective and efficient electrocatalysts for CO 2 reduction reaction is desirable while largely unmet. In this work, a series of precisely designed polyoxometalate-metalloporphyrin organic frameworks are develo…