Determination of the location and number of test environments for a wheat cultivar evaluation program

1981 ◽  
Vol 32 (2) ◽  
pp. 189 ◽  
Author(s):  
PS Brennan ◽  
DE Byth ◽  
DW Drake ◽  
IHDe Lacy ◽  
DG Butler
Keyword(s):  
Evaluation System ◽  
Pattern Analysis ◽  
Wheat Cultivar ◽  
Relative Yield ◽  
Response Patterns ◽  
Large Populations ◽  
Need To Evaluate ◽  
Performance Patterns ◽  
Variance Component Estimates

Pattern analysis procedures were used to delineate groups of test environments which elicited similar relative yield performance patterns in sets of wheat cultivars. In each of four years there was a tendency for environments from particular regions to be grouped. However, the composition of these groups varied across years. The relative values for the variance component estimates from data for two subsequent years tended to support the conclusions suggested from the pattern analysis. A phased yield evaluation system is suggested. It is derived from a consideration of the lack of consistency of similarity of cultivar response patterns across regions and the need to evaluate large populations in early generations. This system would tend to maximize discrimination among cultivars on the form of their cultivar x environment response patterns.

Comparison of SVM, RF and SGD Methods for Determination of Programmer's Performance Classification Model in Social Media Activities

2020 ◽  
Vol 4 (2) ◽  
pp. 329-335
Author(s):  
Rusydi Umar ◽  
Imam Riadi ◽  
Purwono
Keyword(s):  
Social Media ◽  
Gradient Descent ◽  
Classification Model ◽  
Stochastic Gradient Descent ◽  
Support Vector ◽  
Svm Algorithm ◽  
Vector Machines ◽  
Performance Patterns ◽  
A Company

The failure of most startups in Indonesia is caused by team performance that is not solid and competent. Programmers are an integral profession in a startup team. The development of social media can be used as a strategic tool for recruiting the best programmer candidates in a company. This strategic tool is in the form of an automatic classification system of social media posting from prospective programmers. The classification results are expected to be able to predict the performance patterns of each candidate with a predicate of good or bad performance. The classification method with the best accuracy needs to be chosen in order to get an effective strategic tool so that a comparison of several methods is needed. This study compares classification methods including the Support Vector Machines (SVM) algorithm, Random Forest (RF) and Stochastic Gradient Descent (SGD). The classification results show the percentage of accuracy with k = 10 cross validation for the SVM algorithm reaches 81.3%, RF at 74.4%, and SGD at 80.1% so that the SVM method is chosen as a model of programmer performance classification on social media activities.

scholarly journals GC/ECD Peak Pattern Analysis with GPC Pretreatment for Determination of PCBs in Transformer Oil

2006 ◽  
Vol 55 (5) ◽  
pp. 317-321 ◽  
Author(s):  
Naoya OHMURA ◽  
Thomas R. GLASS ◽  
Kazuhiro SASAKI ◽  
Takashi JOH ◽  
Yumiko ITOH
Keyword(s):  
Pattern Analysis ◽  
Transformer Oil ◽  
Peak Pattern

scholarly journals Efficient Bayesian inference of fully stochastic epidemiological models with applications to COVID-19

2021 ◽  
Vol 8 (8) ◽  
pp. 211065
Author(s):  
Yuting I. Li ◽  
Günther Turk ◽  
Paul B. Rohrbach ◽  
Patrick Pietzonka ◽  
Julian Kappler ◽  
...  
Keyword(s):  
Bayesian Inference ◽  
Information Matrix ◽  
Monte Carlo Sampling ◽  
Epidemiological Models ◽  
Large Populations ◽  
Model Evidence ◽  
Age Structured ◽  
The Uk ◽  
Functional Central Limit

Epidemiological forecasts are beset by uncertainties about the underlying epidemiological processes, and the surveillance process through which data are acquired. We present a Bayesian inference methodology that quantifies these uncertainties, for epidemics that are modelled by (possibly) non-stationary, continuous-time, Markov population processes. The efficiency of the method derives from a functional central limit theorem approximation of the likelihood, valid for large populations. We demonstrate the methodology by analysing the early stages of the COVID-19 pandemic in the UK, based on age-structured data for the number of deaths. This includes maximum a posteriori estimates, Markov chain Monte Carlo sampling of the posterior, computation of the model evidence, and the determination of parameter sensitivities via the Fisher information matrix. Our methodology is implemented in PyRoss, an open-source platform for analysis of epidemiological compartment models.

Evaluation Model for Hospital Response Capability for Public Health Emergency

2020 ◽  
pp. 1-6
Author(s):  
Yan-shang Wang ◽  
Hua-jun Sun ◽  
Jia-chen Zou ◽  
Jie Ning ◽  
Yue Du
Keyword(s):  
Public Health ◽  
Index System ◽  
Evaluation System ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Public Health Emergency ◽  
Evaluation Index System ◽  
Need To Evaluate ◽  
Hospital Response ◽  
Response Capability

ABSTRACT Objectives: We aimed to explore and create an evaluation model to assess hospital response capability for a public health emergency (PHE). Methods: Grounded theory was used to construct a comprehensive evaluation index system. Combining with the index system and previous studies and policy documents, we investigated surge capability of hospitals in a PHE. The factor analysis method was used to establish the model. Results: The comprehensive evaluation system with 11 primary and 30 secondary indicators was constructed. A total of 89 secondary and tertiary hospitals were surveyed in China. The evaluation model (C = 0.587C1 + 0.151C2 + 0.140C3 + 0.122C4) was established. Four factors were identified, namely, preparation factor, treatment factor, emergency awareness factor, and prehospital first-aid factor. Conclusions: A public health emergency could bring huge losses and a capable hospital response was necessary. There was an urgent need to evaluate hospital capability for a PHE.

Uretero-Renal Reflex Facilitating Renal Vasoconstrictor Responses to Emotional Stress

1957 ◽  
Vol 192 (1) ◽  
pp. 191-197 ◽  
Author(s):  
Elliott Lee Hix
Keyword(s):  
Sympathetic Activity ◽  
Renal Plasma Flow ◽  
Stress Factors ◽  
Response Patterns ◽  
Skin Flaps ◽  
Renal Nerve ◽  
Afferent Fibers ◽  
Vasomotor Regulation ◽  
Sensory Fibers

In trained and conscious dogs, with ureters exteriorized in flank skin-flaps to facilitate the simultaneous determination of unilateral renal function, it was determined that unilateral irritation of the ureter reflexly produced a decrease in renal plasma flow and glomerular filtration rate in the ipsilateral kidney. Three unilateral renal response patterns were observed on catheterizing the ureter. This uretero-renal reflex was always unilateral and ipsilateral with respect to the stimulated ureter, and could be blocked by anesthetizing the ureter, denervating and/or transplanting the kidney. It was determined that sensory fibers from the ureter communicate reflexly with renal efferent vasoconstrictor fibers. These ureteral afferent fibers pass up the entire length of the ureter where they probably enter the splanchnic nerves. Afferent discharges from the stimulated ureter, whether acute or subliminal, selectively promoting the recruitment of preganglionic neurons, effectively facilitate renal nerve pathways to the kidney under conditions of sympathetic activation (stress). It was concluded that the mechanism of action of this uretero-renal (viscero-visceral) reflex, and its functional significance to renal vasomotor regulation, is that of a facilitating phenomenon. By this facilitating action it channelizes sympathetic activity into efferent renal nerve pathways, exposing the kidney to an exaggerated impact from general and nonspecific environmental stress factors.

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