Unfolding linac photon spectra and incident electron energies from experimental transmission data, with direct independent validation

2012 ◽  
Vol 39 (11) ◽  
pp. 6585-6596 ◽  
Author(s):  
E. S. M. Ali ◽  
M. R. McEwen ◽  
D. W. O. Rogers
Keyword(s):  
Incident Electron ◽  
Experimental Transmission ◽  
Independent Validation ◽  
Transmission Data ◽  
Photon Spectra

A Poor Man’s Approach to Semi-Quantitative Analysis with Electron Energy Loss Spectroscopy

1980 ◽  
Vol 38 ◽  
pp. 110-111
Author(s):  
M. Isaacson
Keyword(s):  
Quantitative Analysis ◽  
Energy Loss ◽  
Electron Energy ◽  
Cross Section ◽  
Electron Energy Loss Spectroscopy ◽  
Excitation Cross Section ◽  
Incident Electron ◽  
Integral Cross Section ◽  
Image Position ◽  
Electron Energy Loss

In an earlier paper1 it was found that to a good approximation, the efficiency of collection of electrons that had lost energy due to an inner shell excitation could be written as where σE was the total excitation cross-section and σE(θ, Δ) was the integral cross-section for scattering within an angle θ and with an energy loss up to an energy Δ from the excitation edge, EE. We then obtained: where , with P being the momentum of the incident electron of velocity v. The parameter r was due to the assumption that d2σ/dEdΩ∞E−r for energy loss E. In reference 1 it was assumed that r was a constant.

Experimental transmission of woodchuck hepatitis virus to woodchucks.

Kanzo ◽  
1989 ◽  
Vol 30 (6) ◽  
pp. 700-701
Author(s):  
Kenji ABE ◽  
Ikuyoshi UCHINO ◽  
Emi MOROZUMI ◽  
Takeshi KURATA
Keyword(s):  
Hepatitis Virus ◽  
Woodchuck Hepatitis Virus ◽  
Experimental Transmission

Comparative Study on Spreading Codes

2017 ◽  
Vol MCSP2017 (01) ◽  
pp. 14-16
Author(s):  
Omprava Agasti ◽  
Sujatarani Raut ◽  
Shibashis Pradhan
Keyword(s):  
Communication Networks ◽  
Spread Spectrum ◽  
Cross Correlation ◽  
Additive White Gaussian Noise ◽  
Personal Communication ◽  
Spreading Codes ◽  
Personal Communication Networks ◽  
Transmission Data ◽  
Commercial Applications ◽  
Spread Spectrum Systems

In this paper, we studied on spreading code for wireless communication, their performance analysis, applications and its implementation. Spread-spectrum systems have found important commercial applications in CDMA cellular networks and wireless personal communication networks. Implementation is complex, mainly because spreading the baseband (by a factor that can be several orders of magnitude) forces the electronics to act and react accordingly, which, in turn, makes the spreading and dispreading operation necessary. In spread spectrum the transmission signal bandwidth is much higher than the information bandwidth. The signal occupies a bandwidth much larger than what is necessary to send the information in spread spectrum technology. CDMA uses unique spreading codes to spread the baseband data before transmission data. The performance of a CDMA system gets controlled by two types of interference, namely ISI and MAI which are the function of auto and cross correlation values of the spreading codes respectively. The existing codes using Additive White Gaussian Noise channel under multi-user has been compared with the Bit Error Rate(BER) performance.

scholarly journals Independent Validation of Sepsis Index for Sepsis Screening in the Emergency Department

Diagnostics ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 1292
Author(s):  
Luisa Agnello ◽  
Alessandro Iacona ◽  
Salvatore Maestri ◽  
Bruna Lo Sasso ◽  
Rosaria Vincenza Giglio ◽  
...  
Keyword(s):  
Emergency Department ◽  
High Risk ◽  
Early Detection ◽  
Diagnostic Accuracy ◽  
Positive Likelihood Ratio ◽  
Curve Analysis ◽  
Roc Curve Analysis ◽  
Distribution Width ◽  
Independent Validation ◽  
Sepsis Screening

(1) Background: The early detection of sepsis is still challenging, and there is an urgent need for biomarkers that could identify patients at a high risk of developing it. We recently developed an index, namely the Sepsis Index (SI), based on the combination of two CBC parameters: monocyte distribution width (MDW) and mean monocyte volume (MMV). In this study, we sought to independently validate the performance of SI as a tool for the early detection of patients at a high risk of sepsis in the Emergency Department (ED). (2) Methods: We enrolled all consecutive patients attending the ED with a request of the CBC. MDW and MMV were measured on samples collected in K3-EDTA tubes on the UniCel DxH 900 haematology analyser. SI was calculated based on the MDW and MMV. (3) Results: We enrolled a total of 703 patients stratified into four subgroups according to the Sepsis-2 criteria: control (498), infection (105), SIRS (52) and sepsis (48). The sepsis subgroup displayed the highest MDW (median 27.5, IQR 24.6–32.9) and SI (median 1.15, IQR 1.05–1.29) values. The ROC curve analysis for the prediction of sepsis showed a good and comparable diagnostic accuracy of the MDW and SI. However, the SI displayed an increased specificity, positive predictive value and positive likelihood ratio in comparison to MDW alone. (4) Conclusions: SI improves the diagnostic accuracy of MDW for sepsis screening.

scholarly journals Development of Machine Learning Models to Predict Compressed Sward Height in Walloon Pastures Based on Sentinel-1, Sentinel-2 and Meteorological Data Using Multiple Data Transformations

2021 ◽  
Vol 13 (3) ◽  
pp. 408
Author(s):  
Charles Nickmilder ◽  
Anthony Tedde ◽  
Isabelle Dufrasne ◽  
Françoise Lessire ◽  
Bernard Tychon ◽  
...  
Keyword(s):  
Machine Learning ◽  
Decision Support ◽  
Support System ◽  
Cross Validation ◽  
Learning Models ◽  
Data Transformations ◽  
Independent Validation ◽  
Sward Height ◽  
Machine Learning Models ◽  
Sentinel 2

Accurate information about the available standing biomass on pastures is critical for the adequate management of grazing and its promotion to farmers. In this paper, machine learning models are developed to predict available biomass expressed as compressed sward height (CSH) from readily accessible meteorological, optical (Sentinel-2) and radar satellite data (Sentinel-1). This study assumed that combining heterogeneous data sources, data transformations and machine learning methods would improve the robustness and the accuracy of the developed models. A total of 72,795 records of CSH with a spatial positioning, collected in 2018 and 2019, were used and aggregated according to a pixel-like pattern. The resulting dataset was split into a training one with 11,625 pixellated records and an independent validation one with 4952 pixellated records. The models were trained with a 19-fold cross-validation. A wide range of performances was observed (with mean root mean square error (RMSE) of cross-validation ranging from 22.84 mm of CSH to infinite-like values), and the four best-performing models were a cubist, a glmnet, a neural network and a random forest. These models had an RMSE of independent validation lower than 20 mm of CSH at the pixel-level. To simulate the behavior of the model in a decision support system, performances at the paddock level were also studied. These were computed according to two scenarios: either the predictions were made at a sub-parcel level and then aggregated, or the data were aggregated at the parcel level and the predictions were made for these aggregated data. The results obtained in this study were more accurate than those found in the literature concerning pasture budgeting and grassland biomass evaluation. The training of the 124 models resulting from the described framework was part of the realization of a decision support system to help farmers in their daily decision making.

Experimental Transmission of LTE Signal Using Visible Light Communications

2019 ◽  
Author(s):  
Marcelo de Oliveira ◽  
Marco A. Fernandes ◽  
Paulo Santos ◽  
Fernando P. Guiomar ◽  
Luis Nero Alves ◽  
...  
Keyword(s):  
Visible Light ◽  
Visible Light Communications ◽  
Experimental Transmission

scholarly journals Serum BCMA levels predict outcomes in MGUS and smoldering myeloma patients

2021 ◽  
Vol 11 (6) ◽  
Author(s):  
A. Visram ◽  
C. Soof ◽  
S. V. Rajkumar ◽  
S. K. Kumar ◽  
S. Bujarski ◽  
...  
Keyword(s):  
Monoclonal Gammopathy ◽  
Serum Samples ◽  
Risk Models ◽  
Independent Validation ◽  
Increased Risk ◽  
Risk Of Progression ◽  
Paired Serum ◽  
Smoldering Myeloma ◽  
Undetermined Significance

AbstractSoluble BCMA (sBCMA) levels are elevated in monoclonal gammopathy of undetermined significance (MGUS) and smoldering multiple myeloma (SMM). However, the association between sBCMA levels and prognosis in MGUS and SMM has not been studied. We retrospectively analyzed sBCMA levels in stored samples from 99 MGUS and 184 SMM patients. Baseline sBCMA levels were significantly higher in MGUS and SMM patients progressing to MM during clinical follow up. When stratified according to the median baseline sBCMA level for each cohort, higher levels were associated with a shorter PFS for MGUS (HR 3.44 comparing sBCMA ≥77 vs <77 ng/mL [95% CI 2.07–5.73, p < 0.001] and SMM (HR 2.0 comparing sBCMA ≥128 vs <128 ng/mL, 95% 1.45–2.76, p < 0.001) patients. The effect of sBCMA on PFS was similar even after adjusting for the baseline MGUS or SMM risk stratification. We evaluated paired serum samples and found that sBCMA increased significantly in MGUS and SMM patients who eventually progressed to MM, whereas among MGUS non-progressors the sBCMA level remained stable. While our results require independent validation, they suggest that sBCMA may be a useful biomarker to identify MGUS and SMM patients at increased risk of progression to MM independent of the established risk models.

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