Annual Report of the Town Officers of the Town of Alfred Maine For the Year Ending February 15, 1913

A novel dielectric resonator antenna (DRA), working at 28 GHz with a peak gain of 12.4 dBi over a fractional bandwidth of 12.6%, is presented. The novel design achieves side-lobe levels below -10 dB for both the E and H-planes so to meet the requirements of the new generation 5G wireless communications systems

Towards a secure network architecture for smart grids in 5G era

Smart grid introduces a wealth of promising applications for upcoming fifth-generation mobile networks (5G), enabling households and utility companies to establish a two-way digital communications dialogue, which can benefit both of them. The utility can monitor real-time consumption of end users and take proper measures (e.g., real-time pricing) to shape their consumption profile or to plan enough supply to meet the foreseen demand. On the other hand, a smart home can receive real-time electricity prices and adjust its consumption to minimize its daily electricity expenditure, while meeting the energy need and the satisfaction level of the dwellers. Smart Home applications for smart phones are also a promising use case, where users can remotely control their appliances, while they are away at work or on their ways home. Although these emerging services can evidently boost the efficiency of the market and the satisfaction of the consumers, they may also introduce new attack surfaces making the grid vulnerable to financial losses or even physical damages. In this paper, we propose an architecture to secure smart grid communications incorporating an intrusion detection system, composed of distributed components collaborating with each other to detect price integrity or load alteration attacks in different segments of an advanced metering infrastructure

Unraveling The Link Between Lymphopenia And Systemic Lupus Erythematosus: Implications For Disease Severity And Potential Treatment Strategies

Systemic Lupus Erythematosus (SLE) is an autoimmune disease characterized by chronic inflammation that can potentially impact any body part. Lymphopenia, abnormal low lymphocyte numbers, are frequently observed in individuals with active SLE. This short review examines the correlation between lymphopenia and SLE. Databases of Scopus, PubMed, Elsevier, Wiley, and Google Scholar were searched for related publicationS. The results showed that lymphopenia is correlated with disease severity in SLE patients. The underlying mechanism is unclear, but it may be due to increased apoptosis of lymphocytes and the autoantibodies production that target lymphocyte surface receptors. Various therapies, including immunosuppressive, corticosteroids, and antiangiogenic agents, have been used for SLE management. However, their efficacy is varied in SLE patients with lymphopenia. These therapies may improve lymphocyte counts and disease vigorousity. Lymphopenia has been found to be linked with several factors in SLE patients, including lupus nephritis, higher steroid doses, cyclophosphamide uses and complement depletion. In SLE, abnormal angiogenesis has been linked to the disease pathogenesis. Thus, angiogenesis therapy for SLE selectively targeted the process of abnormal blood vessel growth that is associated with SLE. In summary, lymphopenia may serve as an indicator of disease severity, however, further studies are required to explore the efficacy of targeted and non-targeted therapies in managing SLE patients with lymphopenia

Retinal blood vessels extraction using probabilistic modelling

© 2014 Kaba et al.; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.This article has been made available through the Brunel Open Access Publishing Fund.The analysis of retinal blood vessels plays an important role in detecting and treating retinal diseases. In this review, we present an automated method to segment blood vessels of fundus retinal image. The proposed method could be used to support a non-intrusive diagnosis in modern ophthalmology for early detection of retinal diseases, treatment evaluation or clinical study. This study combines the bias correction and an adaptive histogram equalisation to enhance the appearance of the blood vessels. Then the blood vessels are extracted using probabilistic modelling that is optimised by the expectation maximisation algorithm. The method is evaluated on fundus retinal images of STARE and DRIVE datasets. The experimental results are compared with some recently published methods of retinal blood vessels segmentation. The experimental results show that our method achieved the best overall performance and it is comparable to the performance of human experts.The Department of Information Systems, Computing and Mathematics, Brunel University