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THE INTERNATIONAL COMMISSION ON RADIATION UNITS AND MEASUREMENTS

André Wambersie
2005 Journal of the International Commission on Radiation Units and Measurements  
In this Report, recommendations concerning absorbed-dose reporting evolved from previous ICRU recommendations while attempting to retain a relationship with the previous recommendations.  ...  pattern is completed exactly when the total monitor units have been delivered.  ...  This information can be used to determine if the plan should be modified for subsequent fractions. A.2.3.5 Recommendations for Accuracy of Absorbed-Dose Delivery.  ... 
doi:10.1093/jicru/ndi015 pmid:24170852 fatcat:msazi6gvcncd3bxrep4j4xd5oe

GATE: Graph-Attention Augmented Temporal Neural Network for Medication Recommendation

Chenhao Su, Sheng Gao, Si Li
2020 IEEE Access  
Then a temporal updating module based on the gated recurrent units is further proposed to learn the temporal dependencies between multiple admissions of each patient.  ...  Furthermore, our proposed model is also constrained by the co-occurrence graph, which can capture the internal correlations of clinical events and provide better modeling capability when the training data  ...  TEMPORAL MODELING OF SEQUENTIAL DATA There are many approaches to model temporal dependencies for sequential data such as Markov chain, hidden Markov model, vector autoregressive model and neural models  ... 
doi:10.1109/access.2020.3007835 fatcat:cybpsj6onrgzpbu3bgwzw7gctu

Centrifugal microfluidic platforms: advanced unit operations and applications

O. Strohmeier, M. Keller, F. Schwemmer, S. Zehnle, D. Mark, F. von Stetten, R. Zengerle, N. Paust
2015 Chemical Society Reviews  
For efficient implementation of applications, building blocks are categorized into unit operations and process chains.  ...  To describe valves using a reproducible model, the centrifugal pressures are recommended for all valves.  ...  After binding, the beads were trapped by a co-rotating magnet, while the cell sample was gated into a waste reservoir. 139 Glynn et al. and Kirby et al. demonstrated centrifugo-magnetophoretic separation  ... 
doi:10.1039/c4cs00371c pmid:26035697 fatcat:ngq2ltrvrjetff7li73lnoec4m

The ampere and the electrical units in the quantum era

Wilfrid Poirier, Sophie Djordjevic, Félicien Schopfer, Olivier Thévenot
2019 Comptes rendus. Physique  
This evolution also highlights the importance of this theory which underpins the most accurate realization of the units.  ...  More broadly, the revised SI will sustain the exploitation of quantum effects to realize electrical units, to the benefit of end-users.  ...  It received funding from the European Metrology Programme for Innovation and Research (EMPIR), co-financed by the Participating States, and from the European Union's Horizon 2020 research and innovation  ... 
doi:10.1016/j.crhy.2019.02.003 fatcat:h3ngf2ux2fal5acdctodmjgmee

Abstracts of the 35th Annual Meeting of the United Kingdom Environmental Mutagen Society, 16th-18th July 2012 at Swansea University, UK

2012 Mutagenesis  
We recommend an analysis framework that can derive robust biomarkers for the FTIRS-SHE assay based on pattern classification.  ...  We have previously used in silico modelling (2) and multivariate analysis (3) to correlate carcinogen and cancer gene mutation patterns.  ...  As for the RBC Pig-a assay, a common gating has been set for analysis of CD59-negative erythrocytes initially.  ... 
doi:10.1093/mutage/ges061 fatcat:ezulnnjj4ne27bjsjb2he7czti

Revisiting Response Compaction in Space for Full-Scan Circuits With Nonexhaustive Test Sets Using Concept of Sequence Characterization

S.R. Das, C.V. Ramamoorthy, M.H. Assaf, E.M. Petriu, W.-B. Jone, M. Sahinoglu
2005 IEEE Transactions on Instrumentation and Measurement  
This paper revisits response compaction in space and reports results on simulation experiments on ISCAS 89 fullscan sequential benchmark circuits using nonexhaustive (deterministic compact and pseudorandom  ...  utilized by the authors earlier in response data compaction in the case of ISCAS 85 combinational benchmark circuits using ATALANTA, FSIM, and COMPACTEST, to realize space compression of ISCAS 89 full-scan sequential  ...  AMD uses a commercial automatic test pattern generation (ATPG) tool to create scan test patterns for stuck-faults in their processor.  ... 
doi:10.1109/tim.2005.855085 fatcat:v2tcdbsfqjehfgctu2cu6p3jde

Encoder-Decoder Architecture for Supervised Dynamic Graph Learning: A Survey [article]

Yuecai Zhu, Fuyuan Lyu, Chengming Hu, Xi Chen, Xue Liu
2022 arXiv   pre-print
These graphs need to evolve over time to capture the dynamics in the real world, leading to the invention of dynamic graphs.  ...  Majority of these data can be modeled and stored as graph, such as the social graph in Facebook, user-video interaction graph in Youtube.  ...  For example, 50% to 70% of human movements can be explained by periodic behavior pattern [24] . Periodic pattern can be learnt by sequential model in DTDG setting.  ... 
arXiv:2203.10480v2 fatcat:tf7n73rhtbbcpptbn6lyvhcew4

Foundations and modelling of dynamic networks using Dynamic Graph Neural Networks: A survey [article]

Joakim Skarding, Bogdan Gabrys, Katarzyna Musial
2020 arXiv   pre-print
Representing complex networks as structures changing over time allow network models to leverage not only structural but also temporal patterns.  ...  Despite the popularity of graph neural networks and the proven benefits of dynamic network models, there has been little focus on graph neural networks for dynamic networks.  ...  [94] uses GraphRNN, a deep sequential generative model as a decoder [31] . What is unique with GraphRNN is that it reframes the graph generation problem as a sequential problem.  ... 
arXiv:2005.07496v1 fatcat:ditdpefszzd6bfh4enbcdkztna

Synthetic spatially graded Rac activation drives cell polarization and movement

B. Lin, W. R. Holmes, C. J. Wang, T. Ueno, A. Harwell, L. Edelstein-Keshet, T. Inoue, A. Levchenko
2012 Proceedings of the National Academy of Sciences of the United States of America  
Response kinetics were inversely proportional to Rac gradient values, in agreement with a new mathematical model, suggesting a role for natural input gradient amplification upstream of Rac.  ...  The threshold was governed by initial cell polarity and PI3K activity, supporting a role for both in defining responsiveness to natural or synthetic Rac activation.  ...  , Rac and Rho, modulated by Cdc42, based on sequential model selection.  ... 
doi:10.1073/pnas.1210295109 pmid:23185021 pmcid:PMC3535611 fatcat:7ukso6d4qnfexes76wwwbngzx4

Foundations and modelling of dynamic networks using Dynamic Graph Neural Networks: A survey

Joakim Skardinga, Bogdan Gabrys, Katarzyna Musial
2021 IEEE Access  
Representing complex networks as structures changing over time allow network models to leverage not only structural but also temporal patterns.  ...  Despite the popularity of graph neural networks and the proven benefits of dynamic network models, there has been little focus on graph neural networks for dynamic networks.  ...  [115] uses GraphRNN, a deep sequential generative model as a decoder [43] . What is unique with GraphRNN is that it reframes the graph generation problem as a sequential problem.  ... 
doi:10.1109/access.2021.3082932 fatcat:4pbp2kn6ovf65pnm5pbv7idpim

Temporal Relational Ranking for Stock Prediction [article]

Fuli Feng, Xiangnan He, Xiang Wang, Cheng Luo, Yiqun Liu, Tat-Seng Chua
2019 arXiv   pre-print
With the recent success of deep neural networks in modeling sequential data, deep learning has become a promising choice for stock prediction.  ...  Traditional solutions for stock prediction are based on time-series models.  ...  LSTM is a special kind of Recurrent Neural Networks (RNNs) [12] that evolve hidden states through time to capture the sequential pattern of input data, e.g., the dependency between words in a sentence  ... 
arXiv:1809.09441v2 fatcat:5u7wsxnz3zbkrbipxv2dikopty

Quantum Machine Learning in Finance: Time Series Forecasting [article]

Dimitrios Emmanoulopoulos, Sofija Dimoska
2022 arXiv   pre-print
Thus, QNNs can be used effectively to model time series having, at the same time, the significant advantage of being trained significantly faster than a classical machine learning model in a quantum computer  ...  to classical BiLSTM networks, with thousands of parameters, and outperform them for signals with higher amplitude noise variations.  ...  Acknowledgements We would like to thank Lee Braine (Barclays) for his helpful feedback.  ... 
arXiv:2202.00599v1 fatcat:becslt73bveenm5sghcdrljngq

Gated frequency-resolved optical imaging with an optical parametric amplifier for medical applications

Stewart M. Cameron, David F. Bliss, M. W. Kimmel, Robert R. Alfano, Abraham Katzir
1996 Advances in Laser and Light Spectroscopy to Diagnose Cancer and Other Diseases III: Optical Biopsy  
The authors have developed a broadly wavelength tunable (470 nm -2.4 µm), ultrashort amplifying optical gate for transillurnination spectral imaging based on optical parametric amplification in a nonlinear  ...  The time-gated image amplification process exhibits low noise and high sensitivity, with gains greater than 104 achievable for low light levels.  ...  Neal for the use of waveffont sensor hardware and supporting analysis soflware, and to Mark Kimmel who provided technical assistance in the early stages of this project.  ... 
doi:10.1117/12.237589 fatcat:batrueezinaxzkcr7f6pm36o7e

Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting

Bing Yu, Haoteng Yin, Zhanxing Zhu
2018 Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence  
Instead of applying regular convolutional and recurrent units, we formulate the problem on graphs and build the model with complete convolutional structures, which enable much faster training speed with  ...  Timely accurate traffic forecast is crucial for urban traffic control and guidance.  ...  [2018] successfully employed the gated recurrent units (GRU) with graph convolution for long-term traffic forecasting.  ... 
doi:10.24963/ijcai.2018/505 dblp:conf/ijcai/YuYZ18 fatcat:du2tmnse6bawxersbwhvi63am4

Design and Optimization Protocol for High-Dimensional Immunophenotyping Assays using Spectral Flow Cytometry [article]

Laura Ferrer-Font, Christophe Pellefigues, Johannes U Mayer, Sam Small, Maria C Jaimes, Kylie M Price
2019 bioRxiv   pre-print
Special considerations are also given for using highly-overlapping dyes and a logical selection process an optimal marker-fluorophore assignment is provided.  ...  Here, we highlight the specific characteristics regarding spectral flow cytometry and aim to guide users through the process of building, designing and optimising high-dimensional spectral flow cytometry  ...  Acknowledgements This work was enabled by the Hugh Green Cytometry Centre and we wish to thank the Hugh Green Foundation for their ongoing generosity and support.  ... 
doi:10.1101/784884 fatcat:kheykqp5ondc7gn37o35e4geyy
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