Search results for "cluster [track data analysis]"

Full-automatic computer aided system for stem cell clustering using content-based microscopic image analysis

2017

Abstract Stem cells are very original cells that can differentiate into other cells, tissues and organs, which play a very important role in biomedical treatments. Because of the importance of stem cells, in this paper we propose a full-automatic computer aided clustering system to assist scientists to explore potential co-occurrence relations between the cell differentiation and their morphological information in phenotype. In this proposed system, a multi-stage Content-based Microscopic Image Analysis (CBMIA) framework is applied, including image segmentation, feature extraction, feature selection, feature fusion and clustering techniques. First, an Improved Supervised Normalized Cuts (IS…

Unexpected associated microalgal diversity in the lichen Ramalina farinacea is uncovered by pyrosequencing analyses

2017

The current literature reveals that the intrathalline coexistence of multiple microalgal taxa in lichens is more common than previously thought, and additional complexity is supported by the coexistence of bacteria and basidiomycete yeasts in lichen thalli. This replaces the old paradigm that lichen symbiosis occurs between a fungus and a single photobiont. The lichen Ramalina farinacea has proven to be a suitable model to study the multiplicity of microalgae in lichen thalli due to the constant coexistence of Trebouxia sp. TR9 and T. jamesii in long-distance populations. To date, studies involving phycobiont diversity within entire thalli are based on Sanger sequencing, but this method see…

Detection of temporal clusters of health care-associated infections or colonizations with Pseudomonas aeruginosa.

2016

International audience; We investigated temporal clusters of Pseudomonas aeruginosa cases between 2005 and 2014 in 1 French university hospital, overall and by ward, using the Kulldorff method. Clusters of positive water samples were also investigated at the whole hospital level. Our results suggest that water outlets are not closely involved in the occurrence of clusters of P aeruginosa cases.

2014

Published version of an article from the journal: Food & Nutrition Research. Also available from the publisher: http://dx.doi.org/10.3402/fnr.v58.23194 Open Access

The B-cell receptor in control of tumor B-cell fitness: Biology and clinical relevance

2019

Surface expression of a functional B cell antigen receptor (BCR) is essential for the survival and proliferation of mature B cells. Most types of B-cell lymphoproliferative disorders retain surface BCR expression, including B-cell non-Hodgkin lymphomas (B-NHL) and chronic lymphocytic leukemia (CLL). Targeting BCR effectors in B-NHL cell lines in vitro has indicated that this signaling axis is crucial for malignant B cell growth. This has led to the development of inhibitors of BCR signaling, which are currently used for the treatment of CLL and several B-NHL subtypes. Recent studies based on conditional BCR inactivation in a MYC-driven mouse B-cell lymphoma model have revisited the role of …

Low-cost scalable discretization, prediction and feature selection for complex systems

2019

The introduced data-driven tool allows simultaneous feature selection, model inference, and marked cost and quality gains.

Comparison of conventional descriptive analysis and a citation frequency-based descriptive method for odor profiling: An application to Burgundy Pino…

2010

International audience; The limitations of intensity scoring when describing the odor characteristics of a complex product have been documented in the literature. In the present work, the odor properties of 12 Burgundy Pinot noir wines were described by two independent panels performing, respectively, an intensity-based (conventional descriptive analysis) and a citation frequency-based method. Methods were compared according to three criteria: similarity of the sensory maps, control of panel performance and practical aspects. Intensity scoring and citation frequency data were analyzed, respectively, by Principal Components Analysis (PCA) and Correspondence Analysis (CA) followed by Hierarch…

A Clustering approach for profiling LoRaWAN IoT devices

2019

Internet of Things (IoT) devices are starting to play a predominant role in our everyday life. Application systems like Amazon Echo and Google Home allow IoT devices to answer human requests, or trigger some alarms and perform suitable actions. In this scenario, any data information, related device and human interaction are stored in databases and can be used for future analysis and improve the system functionality. Also, IoT information related to the network level (wireless or wired) may be stored in databases and can be processed to improve the technology operation and to detect network anomalies. Acquired data can be also used for profiling operation, in order to group devices according…

Cimo: An efficient 2-phases calculator of multimodal itineraries for real trans-territories based on a dynamic programming

2015

In this work we propose an exact solution for calculating multimodal itinerary. This solution is named Cimo (Calculateur d'Itineraires Multimodaux Ordonnes). Cimo is an exact optimal itineraries' calculator wherein itineraries are sorted, multimodal, and trans-territorial. The solution is based on a dynamic programming algorithm "cut", "price" and "share". This solution is multi-objectives and multi-constraints. Several versions of this algorithm are proposed following a methodological approach that enables evaluation of efficiency and complexity's gain : through theoretical calculus and benchmarks. In the first version of realistic problem, we propose a solution with itineraries calculated…

Case Management for Depression by Health Care Assistants in Small Primary Care Practices

2009

BACKGROUND: Case management by health care assistants in small primary care practices provides unclear benefit for improving depression symptoms. OBJECTIVE: To determine whether case management provided by health care assistants in small primary care practices is more effective than usual care in improving depression symptoms and process of care for patients with major depression. DESIGN: Cluster randomized, controlled trial. A central automated system generated the randomization scheme, which was stratified by urban and rural practices; allocation sequence was concealed until groups were assigned. SETTING: 74 small primary care practices in Germany from April 2005 to September 2007. PATIEN…