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Analysis of TaqMan Array Cards Data by an Assumption-Free Improvement of the maxRatio Algorithm Is More Accurate than the Cycle-Threshold Method

Luigi Marongiu, Eric Shain, Lydia Drumright, Reidun Lillestøl, Donald Somasunderam, Martin D. Curran, Ruslan Kalendar
2016 PLoS ONE  
Based on the consensus classification, the CT and MR methods achieved an assay accuracy of 0.979 and 0.987, respectively.  ...  The amplification data were analysed by the conventional cycle-threshold (CT) method and an improvement of the maxRatio (MR) algorithm developed to filter out the reactions with irregular amplification  ...  Acknowledgments We would like to thank the Department of Clinical Diagnostic of the Public Health England at the Addenbrooke's Hospital, Cambridge, for the assistance in the management of the clinical  ... 
doi:10.1371/journal.pone.0165282 pmid:27828987 pmcid:PMC5102466 fatcat:3hmgv3yprredvlt4cknaordvrq

Variable Geometries of Connection: Urban Digital Divides and the Uses of Information Technology

Michael Crang, Tracey Crosbie, Stephen Graham
2006 Urban Studies  
Further information on publishers website: http://dx. Abstract This paper proposes a new way of conceptualising urban 'digital divides'.  ...  Based on a detailed case study of how ICT s are being used in an affluent and a marginalised neighbourhood in Newcastle-upon-Tyne, the paper suggests that urban digital divides need to be understood as  ...  Despite the implementation of 'e-phones' and kiosks in Newcastle, we found only one respondent who had used them (and that was only once).  ... 
doi:10.1080/00420980600970664 fatcat:amdwmyc5svd27bohxkwdw3qzgm

A Probabilistic Model for Estimating the Depth and Threshold Temperature of C-fiber Nociceptors

Tara Dezhdar, Rabih A. Moshourab, Ingo Fründ, Gary R. Lewin, Michael Schmuker
2015 Scientific Reports  
Hence, the nociceptor's temperature threshold must be estimated, which in turn will depend on the depth at which transduction happens in the skin.  ...  providing estimates of threshold and depth in cases where the classical method fails.  ...  For every potentially excluded stimulus in selection model M 2 , we estimated the ratio of the marginal likelihood for the full model M 1 over the marginal likelihood for the model M 2 without the excluded  ... 
doi:10.1038/srep17670 pmid:26638830 pmcid:PMC4671062 fatcat:n6fdyzfmjrfm7mxd2sv5o6fmqq

Hybrid Warfare: Above or Below the Threshold of Armed Conflict?

Marco Marsili
2021 Zenodo  
Hybrid warfare blurs the lines between peace and war and is therefore questioned whether it should be considered below the threshold of armed confl [...]  ...  Furthermore, hybrid warfare is low risk, low cost and provides an adversary the opportunity to cloud, throwing doubt on who is responsible for these "gray zone" actions.  ...  on the contemporary Iraqi Kurdistan security policy implementation.  ... 
doi:10.5281/zenodo.6657849 fatcat:qwtg4k5iufaabnozp3zmqgmtbm

Sources of Low-Energy Events in Low-Threshold Dark Matter Detectors [article]

Peizhi Du, Daniel Egana-Ugrinovic, Rouven Essig, Mukul Sholapurkar
2020 arXiv   pre-print
Finally, we speculate on the implications of our results for the development of quantum computers and neutrino detectors.  ...  In particular, several design strategies to mitigate these backgrounds can be implemented, such as minimizing non-conductive materials near the target, implementing active and passive shielding, and using  ...  The mobility and diffusion constants are related to each other via the Einstein equation [143] D e,h = µ e,h T e , (IV.17 ) where e = √ 4πα em 0.3 is the electric charge and T is the material's local  ... 
arXiv:2011.13939v1 fatcat:vpntbfqo3bcabipyu6gzi3ubwm

Online particle detection with Neural Networks based on topological calorimetry information

T Ciodaro, D Deva, J M de Seixas, D Damazio
2012 Journal of Physics, Conference Series  
The electromagnetic calorimeter uses liquid Argon technology [12] and is divided into two parts: the barrel and the end-caps.  ...  Optimizations, guided by detailed analysis, reduced the algorithm execution time by 59%.  ...  Acknowledgements The authors would like to thank the Brazilian funding agencies CNPq, CAPES, FINEP, FAPERJ and RENAFAE, as well as CERN and the European Union, for the support to this work.  ... 
doi:10.1088/1742-6596/368/1/012030 fatcat:rpqsj23a3ndavfalcwlit2hkvy

Advances in autism genetics: on the threshold of a new neurobiology

Brett S. Abrahams, Daniel H. Geschwind
2008 Nature reviews genetics  
Identification of novel dyslexia candidate genes through the analysis of a chromosomal deletion Genome-wide association study of motor coordination problems in ADHD identifies genes for brain and muscle  ...  Within two of these loci, D Y X 1 C 1 (15q21 ) and R O B O 1 (3p12) have recently been proposed as dyslexia candidate genes through the molecular analysis of translocation breakpoints in dyslexic individuals  ...  Acknowledgements The authors thank the families who made all the studies possible. The authors also thank the many investigators whose work drives the ADHD genetics field forward.  ... 
doi:10.1038/nrg2346 pmid:18414403 pmcid:PMC2756414 fatcat:77z5yb35snffjcmrhoekpdflmq

Statistical Modelling for Estimation of OD Matrices for Public Transport Using Wi-Fi and APC Data

Jan Erik Hakegard, Tor Andre Myrvoll, Tor Rune Skoglund
2018 2018 21st International Conference on Intelligent Transportation Systems (ITSC)  
When tested on large data sets, the proposed statistical method is more accurate than when hard thresholds for median received signal level and time interval of observation are applied.  ...  is on the bus or not.  ...  ACKNOWLEDGMENT The authors would like to thank the PTA Kolumbus for the cooperation related to the installations in Stavanger.  ... 
doi:10.1109/itsc.2018.8570009 dblp:conf/itsc/HakegardMS18 fatcat:l6ekbowerngybi7iwems3vbo4q

Functional hemodynamics and increased intra-abdominal pressure: Same thresholds for different conditions …?*

Manu L. N. G. Malbrain, Inneke de laet
2009 Critical Care Medicine  
First, one could argue that the small number of animals does not allow proper receiver operating characteristic curve analysis to define thresholds.  ...  analysis of the data.  ...  This is in contrast to QI implementation, which explicitly is not done on a voluntary basis, but rather is an operational implementation on the part of healthcare organizations.  ... 
doi:10.1097/ccm.0b013e318194c397 pmid:19325388 fatcat:sr2z6k7vqvffpavawixpbpjt7e

Localization and Frequency Identification of Large-Range Wide-band Electromagnetic Interference Sources in Electromagnetic Imaging System

Xie, Wang, Hao, Yang, Zhu, Li
2019 Electronics  
The located interference source is segmented by the maximum entropy method based on particle swarm optimization, and the modified generalized regression neural network (MGRNN) is applied to identify the  ...  In this system, an offset paraboloid with a diameter of three meters is designed for large-range EMI imaging, while a multi-channel digital signal acquisition system is developed for wide-band EMI localization  ...  Acknowledgments: The authors thank EMC Lab of BeiHang University. Conflicts of Interest: The authors declares no conflicts of interest.  ... 
doi:10.3390/electronics8050499 fatcat:yxe3bn6jxvacjh6c4g23j5cbpi

The Upgrade of the ATLAS Electron and Photon Triggers towards LHC Run 2 and their Performance [article]

Gabriella Pásztor
2015 arXiv   pre-print
To improve the performance, multivariate analysis techniques were introduced at the HLT.  ...  The ATLAS trigger system is divided in a hardware-based (Level 1) and a software based High-Level Trigger (HLT), both of which were upgraded during the long shutdown of the LHC in preparation for data  ...  The electromagnetic cluster reconstruction at L1 uses a sliding-window algorithm to find local energy maxima and provides the cluster energy collected in 2x2 trigger towers in the electromagnetic (EM)  ... 
arXiv:1511.00334v1 fatcat:6c5ucx2ol5dftlqadv3m5didse

Super Resolution Network Analysis Defines the Molecular Architecture of Caveolae and Caveolin-1 Scaffolds

Ismail M. Khater, Fanrui Meng, Timothy H. Wong, Ivan Robert Nabi, Ghassan Hamarneh
2018 Scientific Reports  
Multi-threshold modularity analysis suggests that S1A scaffolds interact to form larger scaffolds and that S1A dimers group together, in the presence of CAVIN1, to form the caveolae coat.  ...  Based on the repeated activation (blinking) of small numbers of discrete fluorophores (using, for instance, PALM, dSTORM or GSDIM), whose precise localization is determined using a Gaussian fit of the  ...  Acknowledgements Supported by grants from the CIHR (MOP-126029), NSERC, Prostate Cancer Canada and CFI/BCKDF (IRN, GH) and a China Scholarship Council doctoral fellowship (FM). We thank Dr.  ... 
doi:10.1038/s41598-018-27216-4 pmid:29899348 pmcid:PMC5998020 fatcat:gbl5kj6kc5hzdhdj2dx3aeeuca

Histogram of the node strength and histogram of the edge weight: two new features for RGB-D person re-identification

Zeynab Imani, Hadi Soltanizadeh
2018 Science China Information Sciences  
In the single-shot case, the HNS is extracted from only one frame while for the multi-shot case it is extracted from both one frame and multi-frames.  ...  The HNS is extracted as spatial from only one frame (single-shot) and temporal from multi-frames (single-shot).  ...  During testing, we divide test set to gallery and probe sets. Subsequently, the whole of methods are evaluated on testing set.  ... 
doi:10.1007/s11432-016-9086-8 fatcat:du7spxtetrgqrhhlvhg2hxsoza

RECOGNITION OF SKIN CANCER IN DERMOSCOPIC IMAGES USING KNN CLASSIFIER

J.Ganesh2 K. Ramya Thamizharasi1
2019 Zenodo  
Melanoma is a fastest growing & deadliest cancer which starts in pigment cells (melanocytes) of the skin that mostly occurs on the exposed parts of the body.  ...  Dermoscopy is a non invasive skin imaging technique of acquiring a magnified and illuminated image of a region of skin for increased clarity of the spots on the skin The use of machine learning and automation  ...  In local adaptive technique, a threshold is calculated for each pixel, based on some local statistics such as range, variance, or surface-fitting parameters of the neighborhood pixels.  ... 
doi:10.5281/zenodo.3237341 fatcat:jbc4hmt7rng5bcqhtnhf7zhlo4

A Novel Fuzzy Fusion Algorithm of Multi-sensor Data and Its Application in Coalmine Gas Monitoring

Xiaojie Zhu, Ze Jiang, Xiaobing Zhao, Mingjie Zhang, Xiangfei Chen
2019 Instrumentation Mesure Métrologie  
Based on local decisions, a data fusion decision-making model for coalmine gas disaster was established to make the global decision.  ...  To solve the problems, this paper proposes a gas monitoring and prewarning method based on fuzzy fusion of multi-sensor data.  ...  The multi-sensor data fusion has already been implemented to predict the gas state. For instance, Fan et al.  ... 
doi:10.18280/i2m.180609 fatcat:iafjk7qpbjci3cf77kjipwnqxi
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