When phenotype does not match genotype: importance of “real-time” refining of phenotypic information for exome data interpretation

2020 ◽  
Vol 23 (1) ◽  
pp. 215-221 ◽  
Author(s):  
Lina Basel-Salmon ◽  
Noa Ruhrman-Shahar ◽  
Naama Orenstein ◽  
Yael Goldberg ◽  
Claudia Gonzaga-Jauregui ◽  
...  
2012 ◽  
Author(s):  
Yew Leong Chui ◽  
Abdul Rahman Ramli

Kertas kerja ini membentangkan sistem kawalan dan pemantauan jarak jauh dengan menggunakan SC12. Satu penukar protokol dengan unit interpretasi data telah direka bentuk dan dilaksana. Untuk menambahkan saluran operasi unit interpretasi data, satu ciri auto–diagnostik pintar telah dilaksana untuk mengesan ralat. Kata kunci: Sistem terbenam, sistem pemicuan dan pemantauan, auto-diagnostik This paper presents a real–time embedded remote triggering and monitoring system using SC12. A protocol converter associated with data interpretation unit has been developed and implemented. In order to expand simultaneous operation channel with data interpretation unit, intelligent auto–diagnostic features has been implemented for run–time error detection purposes. Key words: Embedded system, triggering and monitoring system, auto-diagnostic


2008 ◽  
Vol 14 (S2) ◽  
pp. 1058-1059
Author(s):  
CR Booth ◽  
S Markovic ◽  
R Harmon ◽  
J Wilbrink

Extended abstract of a paper presented at Microscopy and Microanalysis 2008 in Albuquerque, New Mexico, USA, August 3 – August 7, 2008


Sensors ◽  
2020 ◽  
Vol 20 (11) ◽  
pp. 3031
Author(s):  
Paul English ◽  
Heather Amato ◽  
Esther Bejarano ◽  
Graeme Carvlin ◽  
Humberto Lugo ◽  
...  

Air monitoring networks developed by communities have potential to reduce exposures and affect environmental health policy, yet there have been few performance evaluations of networks of these sensors in the field. We developed a network of over 40 air sensors in Imperial County, CA, which is delivering real-time data to local communities on levels of particulate matter. We report here on the performance of the Network to date by comparing the low-cost sensor readings to regulatory monitors for 4 years of operation (2015–2018) on a network-wide basis. Annual mean levels of PM10 did not differ statistically from regulatory annual means, but did for PM2.5 for two out of the 4 years. R2s from ordinary least square regression results ranged from 0.16 to 0.67 for PM10, and increased each year of operation. Sensor variability was higher among the Network monitors than the regulatory monitors. The Network identified a larger number of pollution episodes and identified under-reporting by the regulatory monitors. The participatory approach of the project resulted in increased engagement from local and state agencies and increased local knowledge about air quality, data interpretation, and health impacts. Community air monitoring networks have the potential to provide real-time reliable data to local populations.


2012 ◽  
Vol 2012 ◽  
pp. 1-12 ◽  
Author(s):  
Zhijuan Zhang ◽  
Ning Yuan ◽  
Richard Liu

Efficient and accurate forward modeling of logging tool responses is essential for data inversion in the log data interpretation in both real time and postprocessing. With the aggressive advancement of various high-performance computing techniques and computer hardware technology, it is possible to significantly improve the efficiency of the forward modeling. In this paper, we apply OpenMP to parallelize the simulation of triaxial induction logging tools in 1D multilayered anisotropic formation. The parallel process is explained in detail and numerical examples are presented to demonstrate the effect of the parallel programming. Comparison of the original code and the parallel code shows that the latter is much faster without loss of accuracy, which is very promising for future real-time inversion.


2001 ◽  
Author(s):  
Rolf J. Lorentzen ◽  
Kjell Kåre Fjelde ◽  
Johnny Frøyen ◽  
Antonio C.V.M. Lage ◽  
Geir Nævdal ◽  
...  

2020 ◽  
Vol 305 ◽  
pp. 00089 ◽  
Author(s):  
Simona Riurean ◽  
Marius Olar ◽  
Andreea Ionică ◽  
Lilla Pellegrini

Visible Light Communication (VLC) technology allows wireless data transmission piggybacked by illumination. Highly accurate and reliable systems based on VLC, as Indoor Positioning System (IPS) have been already developed by academics and specialized companies. Underground Positioning System (UPS) addressed here is embedded into the protection equipment, compulsory to be used underground, being therefore important to workers in potential dangerous spaces since fast data communication and real-time data interpretation is therefore possible. This paper presents the VLC technology implemented in mining underground specific environment for an accurate positioning and fast data communication for underground navigation with the main aim of developing a real time warning and alarming system based on Augmented Reality (AR) and Neural Networks (NNs) principles.


2018 ◽  
Vol 49 (1) ◽  
pp. 209-230 ◽  
Author(s):  
Melania E. Cristescu ◽  
Paul D.N. Hebert

The study of environmental DNA (eDNA) has the potential to revolutionize biodiversity science and conservation action by enabling the census of species on a global scale in near real time. To achieve this promise, technical challenges must be resolved. In this review, we explore the main uses of eDNA as well as the complexities introduced by its misuse. Current eDNA methods require refinement and improved calibration and validation along the entire workflow to lessen false positives/negatives. Moreover, there is great need for a better understanding of the “natural history” of eDNA—its origins, state, lifetime, and transportation—and for more detailed insights concerning the physical and ecological limitations of eDNA use. Although eDNA analysis can provide powerful information, particularly in freshwater and marine environments, its impact is likely to be less significant in terrestrial settings. The broad adoption of eDNA tools in conservation will largely depend on addressing current uncertainties in data interpretation.


2009 ◽  
Author(s):  
Roni Abensur Gandelman ◽  
Andre Leibsohn Martins ◽  
Gleber T. Teixeira ◽  
Alex Tadeu Almeida Waldmann ◽  
Mauricio Seiji Cesar Rezende ◽  
...  

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