-Score-Based Secure Biomedical Model for Effective Skin Lesion Segmentation Over eHealth Cloud

This study aims to process the private medical data over eHealth cloud platform. The current pandemic situation, caused by Covid19 has made us to realize the importance of automatic remotely operated independent services, such as cloud. However, the cloud servers are developed and maintained by third parties, and may access user’s data for certain benefits. Considering these problems, we propose a specialized method such that the patient’s rights and changes in medical treatment can be preserved. The problem arising due to Melanoma skin cancer is carefully considered and a privacy-preserving cloud-based approach is proposed to achieve effective skin lesion segmentation. The work is accomplished by the development of a Z -score-based local color correction method to differentiate image pixels from ambiguity, resulting the segmentation quality to be highly improved. On the other hand, the privacy is assured by partially order homomorphic Permutation Ordered Binary (POB) number system and image permutation. Experiments are performed over publicly available images from the ISIC 2016 and 2017 challenges, as well as PH dataset, where the proposed approach is found to achieve significant results over the encrypted images (known as encrypted domain), as compared to the existing schemes in the plain domain (unencrypted images). We also compare the results with the winners of the ISBI 2016 and 2017 challenges, and show that the proposed approach achieves a very close result with them, even after processing test images in the encrypted domain. Security of the proposed approach is analyzed using a challenge-response game model.

Testing Models of the Visual Word Form Area Using Combined ERP and fMRI Using the Special Properties of Chinese Characters

The visual word form area or VWFA has been of special interest for studies of reading and dyslexia and yet there are conflicting models regarding its function. Here we put the Local Combination Detector, Lexicon, and Interactive accounts to the test, using a combination of event-related potentials and functional magnetic resonance imaging. We do so using both pseudoword and reversed radical false word manipulations with Chinese characters, making use of its special properties. We recorded event-related potentials with 68 channels while twenty native Chinese speakers were making rhyme and meaning judgments on single Chinese characters and BOLD signals were collected in a 3T magnet using multi-plane EPI with a further fifteen native Chinese speakers. The word N170 showed a prolongation for reversed radical false characters while the VWFA also showed an effect of reversal, albeit only for pseudocharacters. Furthermore, an N450 rhyming effect was observed in the phonological task compared to the semantic task, but only via an interaction with reversal. The source analysis of the N450 co-registered with a Supplementary Motor Area activation. The combination of these observations suggests that the ventral orthographic pathway is partially order insensitive and that full phonological encoding occurs relatively late, supporting and expanding a model of dyslexia. Overall, they best support a version of the Lexicon account of the VWFA.

Generalized Rough Sets

This chapter concerns construction of a new rough set structure for an ideal ordered topological spaces and ordered topological filters. The approximation space approached depend on general binary relation, partially order relation, ideal and filter concepts. Properties of lower and upper approximation are extended to an ideal order topological approximation spaces. The main aim of the rough set theory is reducing the bouwndary region by increasing the lower approximation and decreasing the upper approximation. So, in this chapter different methods are proposed to reduce the boundary region. Comparisons between the current approximations and the previous approximations (El-Shafei et al.,2013) are introduced. It's therefore shown that the current approximations are more generally and reduce the boundary region by increasing the lower approximation and decreasing the upper approximation. The lower and upper approximations satisfy some properties in analogue of Pawlak's spaces (Pawlak, 1982). Moreover, we give several examples for comparison between the current approach and (El-Shafei et al., 2013).

Local and Global Uniqueness Theorems of the N-th Order Partial Differential Equations

In this paper, we consider inequalities in which the function is an element of n-th partially order space. Local and Global uniqueness theorem of solutions of the n-the order Partial differential equation Obtained which are applications of Gronwall's inequalities.

A family of bounds for the transient behavior of a Jackson network

Using operator methods, we derive a family of stochastic bounds for the Jackson network. For its transient joint queue-length distribution, we can stochastically bound it above by various networks that decouple into smaller independent Jackson networks. Each bound is determined by a distinct partitioning of the index set for the nodes. Except for the trivial cases, none of these bounds can be extended to a sample path ordering between it and the original network. Finally, we can partially order the bounds themselves whenever one partition of the index set is the refinement of another. These results suggest new types of partial orders for stochastic processes that are not equivalent to sample-path orderings.

A family of bounds for the transient behavior of a Jackson network

Using operator methods, we derive a family of stochastic bounds for the Jackson network. For its transient joint queue-length distribution, we can stochastically bound it above by various networks that decouple into smaller independent Jackson networks. Each bound is determined by a distinct partitioning of the index set for the nodes. Except for the trivial cases, none of these bounds can be extended to a sample path ordering between it and the original network. Finally, we can partially order the bounds themselves whenever one partition of the index set is the refinement of another. These results suggest new types of partial orders for stochastic processes that are not equivalent to sample-path orderings.

Analysis of lambda insertions in the fucose utilization region of Escherichia coli K-12: use of lambda fuc and lambda argA transducing bacteriophages to partially order the fucose utilization genes

Escherichia coli K-12 strains have deletions for the normal lambda integration site were lysogenized with bacteriophage lambda at a site within the L-fucose utilization system (fuc). The frequency of lambda integration at this site is approximately 2 X 10(-8) to 5 X 10(-7). Studies of the lytic properties of these strains indicated very infrequent cell lysis with a relatively low phage burst size. Transductional ability of the phage lysates was found to be normal, comparable to that found in conventional low-frequency transducing lysates. Two major classes of transducing phage were found. One carried the markers argA and fucA (a fucose utilization gene of unknown function previously referred to as fuc-1) and the gene for D-arabinose utilization (dar+). The other carried only fucC, the gene specifying L-fuculose-1-phosphate aldolase. A minor class of phage was found that carried fucA, but not argA or dar+. Upon consideration of the transductional nature of these phage classes, we are proposing that the gene order for the L-fucose utilization system is dar, fucA, (lambda), fucC.