Thermodynamics of rare events and impulsive relaxation events in the magnetospheric substorm dynamics

2007 ◽  
Vol 55 (15) ◽  
pp. 2244-2250 ◽  
Author(s):  
Giuseppe Consolini ◽  
Matthieu Kretzschmar
2020 ◽  
Vol 39 (6) ◽  
pp. 8463-8475
Author(s):  
Palanivel Srinivasan ◽  
Manivannan Doraipandian

Rare event detections are performed using spatial domain and frequency domain-based procedures. Omnipresent surveillance camera footages are increasing exponentially due course the time. Monitoring all the events manually is an insignificant and more time-consuming process. Therefore, an automated rare event detection contrivance is required to make this process manageable. In this work, a Context-Free Grammar (CFG) is developed for detecting rare events from a video stream and Artificial Neural Network (ANN) is used to train CFG. A set of dedicated algorithms are used to perform frame split process, edge detection, background subtraction and convert the processed data into CFG. The developed CFG is converted into nodes and edges to form a graph. The graph is given to the input layer of an ANN to classify normal and rare event classes. Graph derived from CFG using input video stream is used to train ANN Further the performance of developed Artificial Neural Network Based Context-Free Grammar – Rare Event Detection (ACFG-RED) is compared with other existing techniques and performance metrics such as accuracy, precision, sensitivity, recall, average processing time and average processing power are used for performance estimation and analyzed. Better performance metrics values have been observed for the ANN-CFG model compared with other techniques. The developed model will provide a better solution in detecting rare events using video streams.


ACS Omega ◽  
2020 ◽  
Vol 5 (49) ◽  
pp. 31608-31623
Author(s):  
Samuel D. Lotz ◽  
Alex Dickson

Cells ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 826
Author(s):  
Rafael Kretschmer ◽  
Marcelo Santos de Souza ◽  
Ivanete de Oliveira Furo ◽  
Michael N. Romanov ◽  
Ricardo José Gunski ◽  
...  

Interchromosomal rearrangements involving microchromosomes are rare events in birds. To date, they have been found mostly in Psittaciformes, Falconiformes, and Cuculiformes, although only a few orders have been analyzed. Hence, cytogenomic studies focusing on microchromosomes in species belonging to different bird orders are essential to shed more light on the avian chromosome and karyotype evolution. Based on this, we performed a comparative chromosome mapping for chicken microchromosomes 10 to 28 using interspecies BAC-based FISH hybridization in five species, representing four Neoaves orders (Caprimulgiformes, Piciformes, Suliformes, and Trogoniformes). Our results suggest that the ancestral microchromosomal syntenies are conserved in Pteroglossus inscriptus (Piciformes), Ramphastos tucanus tucanus (Piciformes), and Trogon surrucura surrucura (Trogoniformes). On the other hand, chromosome reorganization in Phalacrocorax brasilianus (Suliformes) and Hydropsalis torquata (Caprimulgiformes) included fusions involving both macro- and microchromosomes. Fissions in macrochromosomes were observed in P. brasilianus and H. torquata. Relevant hypothetical Neognathae and Neoaves ancestral karyotypes were reconstructed to trace these rearrangements. We found no interchromosomal rearrangement involving microchromosomes to be shared between avian orders where rearrangements were detected. Our findings suggest that convergent evolution involving microchromosomal change is a rare event in birds and may be appropriate in cytotaxonomic inferences in orders where these rearrangements occurred.


Author(s):  
Wei Yue ◽  
Marc Cowling

It is well documented that the self-employed experience higher levels of happiness than waged employees even when their incomes are lower. Given the UK government’s asymmetric treatment of waged workers and the self-employed, we use a unique Covid-19 period data set which covers the months leading up to the March lockdown and the months just after to assess three aspects of the Covid-19 crisis on the self-employed: hours of work reductions, the associated income reductions and the effects of both on subjective well-being. Our findings show the large and disproportionate reductions in hours and income for the self-employed directly contributed to a deterioration in their levels of subjective well-being compared to waged workers. It appears that their resilience was broken when faced with the reality of dealing with rare events, particularly when the UK welfare support response was asymmetric and favouring waged employees.


Author(s):  
Stefan Henningsson ◽  
William J. Kettinger ◽  
Chen Zhang ◽  
Nageswaran Vaidyanathan
Keyword(s):  

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