Efficacy and tolerability of vardenafil in Asian men with erectile dysfunction

10.1111/j.1745-7262.2008.00388.xAsian Journal of Andrology103495-50

The ageing population : it's impact on medical insurance industry in Singapore

With the problem of Singapore's ageing population comes the problem of maintaining the physical and mental well being of the elderly. An impending problem faced by the elderly ( defined to be persons aged 60 and above in this project ) is the high costs of medical services, surgical and hospitalization fees. This problem is more pronounced in the light of Singapore's increasing health care costs. Medical insurance may provide a hedge against high medical costs incurred by the elderly. This project aims to look at the problem areas encountered by the insurers when providing medical products and what measures may be taken to overcome them. It will recommend how current medical products can be modified, as well as some other possible strategies that can be adopted, so as to ensure profitability for the insurer as well as provide protection for the elderly. · It also looks at how the two proposed schemes under the recommendations of "The White Paper on Affordable Healthcare" will affect the elderly. The two schemes are the increase in contribution to the CPF Medisave account and Medishield II respectively. Finally, recommendations for future products will be made, taking into consideration the design and pricing of the product, the underwriting, marketing, administration and claims administration aspects.BUSINES

Improving the Use of Multiplicity in UML Association

Through the incorporation of derived classes and associations in class diagrams, this paper proposes a method to improve the specification power of multiplicity for n-ary associations in Unified Modeling Language (UML). The enhanced method can specify more business rules explicitly and concisely in class diagrams through the use of multiplicities instead of using constraints defined informally or in Object Constraint Language (OCL).

Application of Machine Learning for Differentiating Bone Malignancy on Imaging: A Systematic Review

10.3390/cancers15061837CANCERS15

Application of Artificial Intelligence Methods for Imaging of Spinal Metastasis

10.3390/cancers14164025CANCERS141

Deep Learning Model for Classifying Metastatic Epidural Spinal Cord Compression on MRI

10.3389/fonc.2022.849447FRONTIERS IN ONCOLOGY1

Diagnostic Accuracy of CT for Metastatic Epidural Spinal Cord Compression

10.3390/cancers14174231CANCERS141

Draft genome sequence of the rubber tree <it>Hevea brasiliensis</it>

<p>Abstract</p> <p>Background</p> <p><it>Hevea brasiliensis,</it> a member of the Euphorbiaceae family, is the major commercial source of natural rubber (NR). NR is a latex polymer with high elasticity, flexibility, and resilience that has played a critical role in the world economy since 1876.</p> <p>Results</p> <p>Here, we report the draft genome sequence of <it>H. brasiliensis</it>. The assembly spans ~1.1 Gb of the estimated 2.15 Gb haploid genome. Overall, ~78% of the genome was identified as repetitive DNA. Gene prediction shows 68,955 gene models, of which 12.7% are unique to <it>Hevea</it>. Most of the key genes associated with rubber biosynthesis, rubberwood formation, disease resistance, and allergenicity have been identified.</p> <p>Conclusions</p> <p>The knowledge gained from this genome sequence will aid in the future development of high-yielding clones to keep up with the ever increasing need for natural rubber.</p

Enhanced independent spectral histogram representations in face recognition

A spectral histogram descriptor computes a set of marginal distributions based on the filter bank’s responses, and further encodes them into the images. The encoding process for local image structure takes place during the filtering stage, whereas the encoding process of global image feature is conducted during the histogram stage. One drawback of spectral histogram descriptors is their performances will be greatly deteriorated when the filter bank’s responses are not stochastically independent. To tackle this problem, a computational technique named Enhanced Independent Spectral Histogram Feature (EISHF) is proposed. EISHF is composed of four working modules: (1) unsupervised independent filter bank responses computation, (2) binary hashing, (3) XOR bitwise operation and feature encoding, and lastly, (4) block-wise histogramming. To ensure the performance of ordinary spectral histogram descriptors, an XOR operation has been delicately adopted to increase the independency of the filter responses. Tested on three public face databases, the experimental results have substantiated the performance of EISHF in handling different kinds of facial expressions, illuminations, time spans as well as facial makeup effects