dual model
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Universe ◽  
2022 ◽  
Vol 8 (1) ◽  
pp. 35
Author(s):  
Marlon Núñez

The prediction of solar energetic particle (SEP) events may help to improve the mitigation of adverse effects on humans and technology in space. UMASEP (University of Málaga Solar particle Event Predictor) is an empirical model scheme that predicts SEP events. This scheme is based on a dual-model approach. The first model predicts well-connected events by using an improved lag-correlation algorithm for analyzing soft X-ray (SXR) and differential proton fluxes to estimate empirically the Sun–Earth magnetic connectivity. The second model predicts poorly connected events by analyzing the evolution of differential proton fluxes. This study presents the evaluation of UMASEP-10 version 2, a tool based on the aforementioned scheme for predicting all >10 MeV SEP events, including those without associated flare. The evaluation of this tool is presented in terms of the probability of detection (POD), false alarm ratio (FAR) and average warning time (AWT). The best performance was achieved for the solar cycle 24 (i.e., 2008–2019), obtaining a POD of 91.1% (41/45), a FAR of 12.8% (6/47) and an AWT of 2 h 46 min. These results show that UMASEP-10 version 2 obtains a high POD and low FAR mainly because it is able to detect true Sun–Earth magnetic connections.


2022 ◽  
Vol 12 (1) ◽  
pp. 121
Author(s):  
Tone-Yau Huang ◽  
Tamaki Tanaka

<p style='text-indent:20px;'>We consider a complex multi-objective programming problem (CMP). In order to establish the optimality conditions of problem (CMP), we introduce several properties of optimal efficient solutions and scalarization techniques. Furthermore, a certain parametric dual model is discussed, and their duality theorems are proved.</p>


2021 ◽  
Author(s):  
Yongping Du ◽  
Jingya Yan ◽  
Yiliang Zhao ◽  
Yuxuan Lu ◽  
Xingnan Jin

2021 ◽  
pp. 097215092110606
Author(s):  
Denis Syromyatnikov ◽  
Sergey Demin ◽  
Anatoly Belichenko ◽  
Anton Grigoriev ◽  
Tatiana Yurieva

Against the background of globalization and the deepening struggle for international markets, competitiveness is among the most important indicators describing the performance of an enterprise. The purpose of this study is to create a methodology for assessing the level of competitiveness of enterprises. The proposed methodology is based on a dual model integrating the parametric and nonparametric methods for assessing the effect of using the financial mechanisms of competitiveness management. This study relies on regression and factor analysis. The focus is on the competitiveness level of 12 agricultural enterprises operating in Russia. Among the studied enterprises, the most competitive one is the enterprise that makes the best use of available resources when moving toward the desired amount of income (profit) and minimum costs. The proposed approach allows not only to assess the true level of competitiveness of an enterprise but also to identify reserves it can exploit to improve its competitiveness using financial instruments. At the same time, the stochastic dual approach proved to be a better choice in developing a competitiveness strategy.


2021 ◽  
Vol 8 (23) ◽  
pp. 2170154
Author(s):  
Maomao He ◽  
Guangli He ◽  
Peiyuan Wang ◽  
Suhua Jiang ◽  
Ziyue Jiao ◽  
...  

2021 ◽  
Author(s):  
Choukri Mamoun ◽  
Anasuya C. Pal ◽  
Isaline Renard ◽  
Pallavi Singh ◽  
Pratap Vydyam ◽  
...  

Hematozoa are a subclass of protozoan parasites that invade and develop within vertebrate red blood cells to cause the pathological symptoms associated with diseases of both medical and veterinary importance such as malaria and babesiosis. A major limitation in the study of the most prominent hematozoa, Plasmodium spp, the causative agents of malaria, is the lack of a broadly accessible mouse model to evaluate parasite infection in vivo as is the case for P. falciparum or altogether the lack of an in vitro culture and mouse models as is the case for P. vivax, P. malariae and P. ovale. Similarly, no in vitro culture system exists for Babesia microti, the predominant agent of human babesiosis. In this study, we show that human red blood cells infected with the human pathogen Babesia duncani continuously propagated in culture, as well as merozoites purified from parasite cultures, can cause lethal infection in immunocompetent C3H/HeJ mice. Furthermore, highly reproducible parasitemia and survival outcomes were established using specific parasite loads and different mouse genetic backgrounds. Using the combined in culturein mouse (ICIM) model of B. duncani infection, we demonstrate that current recommended combination therapies for the treatment of human babesiosis, while synergistic in cell culture, have weak potency in vitro and failed to clear infection or prevent death in mice. Interestingly, using the ICIM model, we identified two new endochin-like quinolone prodrugs, ELQ-331 and ELQ468, that alone or in combination with atovaquone are highly efficacious against B. duncani and B. microti. The novelty, ease of use and scalability of the B. duncani ICIM dual model make it an ideal system to study intraerythrocytic parasitism by protozoa, unravel the molecular mechanisms underlying parasite virulence and pathogenesis, and accelerate the development of innovative therapeutic strategies that could be translated to unculturable parasites and important pathogens for which an animal model is lacking.


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