ORGANIZATION OF PROTECTION MECHANISMS FOR CLOUD STORAGE SERVICES

Providing effective security mechanisms is an important requirement to any secure cloud solution. In this sense, it's proposed to use a hybrid approach to cloud security that includes both warning and detection mechanisms in order to minimize the possibility of a successful attack. According to that proposal, the customized attribute-based encryption (ABE) is a comprehensive access control solution for cloud storage services including user accountability and key revocation. The authors apply state-of-the-art signal processing techniques in order to detect the malicious activities and Man-in-the-Cloud (MITC) attacks in the cloud environment

Placebo-controlled phase 3 study of oral BG-12 or glatiramer in multiple sclerosis.

BACKGROUND: BG-12 (dimethyl fumarate) is in development as an oral treatment for relapsing-remitting multiple sclerosis, which is commonly treated with parenteral agents (interferon or glatiramer acetate). METHODS: In this phase 3, randomized study, we investigated the efficacy and safety of oral BG-12, at a dose of 240 mg two or three times daily, as compared with placebo in patients with relapsing-remitting multiple sclerosis. An active agent, glatiramer acetate, was also included as a reference comparator. The primary end point was the annualized relapse rate over a period of 2 years. The study was not designed to test the superiority or noninferiority of BG-12 versus glatiramer acetate. RESULTS: At 2 years, the annualized relapse rate was significantly lower with twice-daily BG-12 (0.22), thrice-daily BG-12 (0.20), and glatiramer acetate (0.29) than with placebo (0.40) (relative reductions: twice-daily BG-12, 44%, P<0.001; thrice-daily BG-12, 51%, P<0.001; glatiramer acetate, 29%, P=0.01). Reductions in disability progression with twice-daily BG-12, thrice-daily BG-12, and glatiramer acetate versus placebo (21%, 24%, and 7%, respectively) were not significant. As compared with placebo, twice-daily BG-12, thrice-daily BG-12, and glatiramer acetate significantly reduced the numbers of new or enlarging T(2)-weighted hyperintense lesions (all P<0.001) and new T(1)-weighted hypointense lesions (P<0.001, P<0.001, and P=0.002, respectively). In post hoc comparisons of BG-12 versus glatiramer acetate, differences were not significant except for the annualized relapse rate (thrice-daily BG-12), new or enlarging T(2)-weighted hyperintense lesions (both BG-12 doses), and new T(1)-weighted hypointense lesions (thrice-daily BG-12) (nominal P<0.05 for each comparison). Adverse events occurring at a higher incidence with an active treatment than with placebo included flushing and gastrointestinal events (with BG-12) and injection-related events (with glatiramer acetate). There were no malignant neoplasms or opportunistic infections reported with BG-12. Lymphocyte counts decreased with BG-12. CONCLUSIONS: In patients with relapsing-remitting multiple sclerosis, BG-12 (at both doses) and glatiramer acetate significantly reduced relapse rates and improved neuroradiologic outcomes relative to placebo. (Funded by Biogen Idec; CONFIRM ClinicalTrials.gov number, NCT00451451.).clinical trial, phase iiicomparative studyjournal articlemulticenter studyrandomized controlled trialresearch support, non-u.s. gov't2012 Sep 20importedErratum in : N Engl J Med. 2012 Oct 25;367(17):1673

EU/US/CTAD Task Force: Lessons Learned from Recent and Current Alzheimer's Prevention Trials

At a meeting of the EU/US/Clinical Trials in Alzheimer’s Disease (CTAD) Task Force in December 2016, an international group of investigators from industry, academia, and regulatory agencies reviewed lessons learned from ongoing and planned prevention trials, which will help guide future clinical trials of AD treatments, particularly in the pre-clinical space. The Task Force discussed challenges that need to be addressed across all aspects of clinical trials, calling for innovation in recruitment and retention, infrastructure development, and the selection of outcome measures. While cognitive change provides a marker of disease progression across the disease continuum, there remains a need to identify the optimal assessment tools that provide clinically meaningful endpoints. Patient- and informant-reported assessments of cognition and function may be useful but present additional challenges. Imaging and other biomarkers are also essential to maximize the efficiency of and the information learned from clinical trials

Solution of applied problems: formalization, methodology and justification

Nowadays there is a tendency of the growth of applied problems for the solution of which formal methods and computers are used. Naturally, there arise problems of correspondence between theory and practice, the key one being the assessment of the quality of the obtained results. The paper deals with questions of management of the applied problem solution. Three groups of problems have been considered. The problems concern the formalization, selection and construction of the model, method and algorithm of the solution as well as the justification of the obtained results. Features for characterizing the class of applied problems have been determined. General principles of the transition from the meaningful description of a problem to its formal statement have been proposed. Main methodological aspects of the problem solution have been singled out. The result justification scheme, based on the inductive nature of problems, has been proposed. All the fundamental notions and results are exemplified by applied problems from pattern recognition and artificial intelligence

Unstructured knowledge synthesis for decision making problems

A problem of constructing decision support systems on based unstructured knowledge is under consideration. The general architecture and separate functional decisions allowing to adequately set up the system to particular applications are suggested

Unstructured knowledge synthesis for decision making problems

A problem of constructing decision support systems on based unstructured knowledge is under consideration. The general architecture and separate functional decisions allowing to adequately set up the system to particular applications are suggested

Semantic-based approach to web information processing.

The paper deals with information extraction from the Internet. Special attention is paid to semantic relations and word sense disambiguation

Natural Language Processing Based on Semantic Patterns Approach

The paper deals with information extraction from texts in a natural language. Special attention is paid to word collocations on the level of meaning and word sense disambiguation based on semantic patterns