scholarly journals Drought Cycle Analysis to evaluate the influence of a dense network of small reservoirs on drought evolution

Author(s):  
G. G. Ribeiro Neto ◽  
L. A. Melsen ◽  
E. S. P. R. Martins ◽  
D. W. Walker ◽  
P. R. Oel
Author(s):  
Ushashi Dasgupta

This book explores the significance of rental culture in Charles Dickens’s fiction and journalism. It reveals tenancy, or the leasing of real estate in exchange for money, to be a governing force in everyday life in the nineteenth century. It casts a light into back attics and landladies’ parlours, and follows a host of characters—from slum landlords exploiting their tenants, to pairs of friends deciding to live together and share the rent. In this period, tenancy shaped individuals, structured communities, and fascinated writers. The vast majority of London’s population had an immediate economic relationship with the houses and rooms they inhabited, and Dickens was highly attuned to the social, psychological, and imaginative corollaries of this phenomenon. He may have been read as an overwhelming proponent of middle-class domestic ideology, but if we look closely, we see that his fictional universe is a dense network of rented spaces. He is comfortable in what he calls the ‘lodger world’, and he locates versions of home in a multitude of unlikely places. These are not mere settings, waiting to be recreated faithfully; rented space does not simply provide a backdrop for incident in the nineteenth-century novel. Instead, it plays an important part in influencing what takes place. For Dickens, to write about tenancy can often mean to write about writing—character, authorship, and literary collaboration. More than anything, he celebrates the fact that unassuming houses brim with narrative potential: comedies, romances, mysteries, and comings-of-age take place behind their doors.


Global Jurist ◽  
2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Rossella Esther Cerchia

Abstract In today’s society, a dense network of laws and regulations presides the actions of all people. And it is so extensive that any number of activities – including the formation of contracts – is capable of breaking the law. This is why it is even more important, nowadays, to reconsider the issue of contracts that violate legal rules. The trend in favor of flexible remedies reveals that the rigidity of the more traditional solutions might not be the best choice in this day and age.


Author(s):  
Kai Sun ◽  
Jiarun Yu ◽  
Wei Huang ◽  
Haijun Zhang ◽  
Victor C.M. Leung

Diagnostics ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 1104
Author(s):  
Siti Raihanah Abdani ◽  
Mohd Asyraf Zulkifley ◽  
Nuraisyah Hani Zulkifley

Pterygium is an eye condition that is prevalent among workers that are frequently exposed to sunlight radiation. However, most of them are not aware of this condition, which motivates many volunteers to set up health awareness booths to give them free health screening. As a result, a screening tool that can be operated on various platforms is needed to support the automated pterygium assessment. One of the crucial functions of this assessment is to extract the infected regions, which directly correlates with the severity levels. Hence, Group-PPM-Net is proposed by integrating a spatial pyramid pooling module (PPM) and group convolution to the deep learning segmentation network. The system uses a standard mobile phone camera input, which is then fed to a modified encoder-decoder convolutional neural network, inspired by a Fully Convolutional Dense Network that consists of a total of 11 dense blocks. A PPM is integrated into the network because of its multi-scale capability, which is useful for multi-scale tissue extraction. The shape of the tissues remains relatively constant, but the size will differ according to the severity levels. Moreover, group and shuffle convolution modules are also integrated at the decoder side of Group-PPM-Net by placing them at the starting layer of each dense block. The addition of these modules allows better correlation among the filters in each group, while the shuffle process increases channel variation that the filters can learn from. The results show that the proposed method obtains mean accuracy, mean intersection over union, Hausdorff distance, and Jaccard index performances of 0.9330, 0.8640, 11.5474, and 0.7966, respectively.


IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Xiaohua Li ◽  
Guangxiao Niu ◽  
Xiangxiang Li ◽  
Xiaoli Wang ◽  
Gang Shi

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