A break-glass protocol based on ciphertext-policy attribute-based encryption to access medical records in the cloud

Annals of Telecommunications - In emergency care, fast and efficient treatment is vital. The availability of Electronic Medical Records (EMR) allows healthcare professionals to access a...     

Behavior of Escherichia coli O157:H7 during the manufacture and ripening of feta and telemes cheeses

Pasteurized whole ewe's and cow's milk was used in the manufacture of Feta end Telemes cheeses, respectively, according to standard procedures. In both cases, the milk had been inoculated with Escherichia coli O157:H7 at a concentration of ca. 5.1 log CFU/ml and with thermophilic or mesophilic starter cultures at a concentration of ca. 5.3 to 5.6 log CFU/ml. In the first 10 h of cheesemaking, the pathogen increased by 1.18 and 0.82 log CFU/g in Feta cheese and by 1.56 and 1.35 log CFU/ g in Telemes cheese for the trials with thermophilic and mesophilic starters, respectively. After 24 h of fermentation, a decrease in E. coli O157:H7 was observed for all trials. At that time, the pH was reduced to 4.81 to 5.10 for all trials. Fresh cheeses were salted and held at 16 degrees C for ripening until the pH was reduced to 4.60. Cheeses were then moved into storage at 4 degrees C to complete ripening. During ripening, the E. coli O157:H7 population decreased significantly (P < or = 0.001) and finally was not detectable in Feta cheese after 44 and 36 days and in Telemes cheese after 40 and 30 days for the trials with thermophilic and mesophilic starters, respectively. The estimated times required for one decimal reduction of the population of E. coli O157:H7 after the first day of processing were 9.71 and 9.26 days for Feta cheese and 9.09 and 7.69 days for Telemes cheese for the trials with thermophilic and mesophilic starters, respectively.     

Economic evaluation of energy saving measures in a common type of Greek building

This paper deals with the economic analysis and evaluation of various energy saving measures in the building sector, focusing on a domestic detached house in Greece, i.e. in a typical Mediterranean climate. In order to detect the energy saving measures that, in addition to energy benefits, can also provide economic profits, the study examines the following measures: all kinds of insulation; upgrading of the heating system; use of thermal solar systems; upgrading of lighting; upgrading of electric appliances; upgrading of the cooling system. The economic evaluation methods used for ranking the energy saving measures are the Net Present Value, the Internal Rate of Return, the Savings to Investment Ratio and the Depreciated Payback Period. It has been found that amongst the most effective energy saving methods are the upgrading of lighting, the insulation of the roof of the building and the installation of an automatic temperature control system.     

Designed spiro-bicyclic analogues targeting the ribosomal decoding center

The bacterial ribosome represents the confirmed biological target for many known antibiotics that interfere with bacterial protein synthesis. Aminoglycosides represent a lead paradigm in RNA molecular recognition and constitute ideal starting points for the design and synthesis of novel RNA binders. Previous rational design approaches of RNA-targeting small molecules have been mainly concentrated on direct functionalization of aminoglycosidic substructures. Herein, we successfully designed and synthesized rigid spirocyclic scaffolds locked in a predicted ribosome-bound "bioactive" conformation. These analogues are able to mimic many of the interactions of the natural products for the A-site, as proven by their obtained binding affinities. The development of an optimized approach for their synthesis and their potential to inhibit protein production in vitro are presented. Our results could be further utilized for the development of analogues with improved antibiotic profiles.     

Ezetimibe Treatment Lowers Indicators of Oxidative Stress in Hypercholesterolemic Subjects with High Oxidative Stress

Ezetimibe effectively reduces low-density lipoprotein cholesterol (LDL-C). In this study, we tested the hypothesis that ezetimibe monotherapy may also decrease markers of oxidative stress in subjects with hypercholesterolemia. Subjects with hypercholesterolemia and no evidence of cardiovascular disease were randomly allocated to open-label ezetimibe monotherapy 10 mg/day (EZT group) or therapeutic lifestyle changes (TLC group). At baseline and 12 weeks post-treatment serum lipoprotein and apolipoprotein levels as well as oxidative stress parameters, including oxidized LDL (ox-LDL), 8-isoprostanes (8-epiPGF2a) and reactive oxygen metabolites (d-ROMs) levels, were blindly determined. A total of 60 patients were included; 30 in each group. Despite a significant decrease in ox-LDL levels (by 20.8%, p < 0.001 vs. baseline; p < 0.001 vs. TLC group) in the EZT group no change in the ratio ox-LDL to LDL-C was noticed following ezetimibe treatment. No significant change in 8-epiPGF2a and d-ROMs levels was observed in the EZT group. Of note, a significant decrease in 8-epiPGF2a and d-ROMs levels (by 20.4% and 18.2%, respectively, p < 0.01 vs. baseline for both), was noted among patients in the EZT group who exhibited ‘high oxidative stress’ at baseline. No change in any of oxidative stress parameters was noted in the TLC group. Ezetimibe may decrease markers of oxidative stress in hypercholesterolemic subjects. This benefit may be more profound among patients who exhibit ‘high oxidative stress’ at baseline.     

Blood Metabolomics May Discriminate a Sub-Group of Patients with First Demyelinating Episode in the Context of RRMS with Increased Disability and MRI Characteristics Indicative of Poor Prognosis

Biomarker research across the health-to-disease continuum is being increasingly applied. We applied blood-based metabolomics in order to identify patient clusters with a first demyelinating episode, and explored the prognostic potential of the method by thoroughly characterizing each cluster in terms of clinical, laboratory and MRI markers of established prognostic potential for Multiple Sclerosis (MS). Recruitment consisted of 11 patients with Clinically Isolated Syndrome (CIS), 37 patients with a first demyelinating episode in the context of Relapsing-Remitting MS (RRMS) and 11 control participants. Blood-based metabolomics and hierarchical clustering analysis (HCL) were applied. Constructed OPLS-DA models illustrated a discrimination between patients with CIS and the controls (p = 0.0014), as well as between patients with RRMS and the controls (p = 1 × 10⁻⁵). Hierarchical clustering analysis (HCL) for patients with RRMS identified three clusters. RRMS-patients-cluster-3 exhibited higher mean cell numbers in the Cerebro-spinal Fluid (CSF) compared to patients with CIS (18.17 ± 6.3 vs. 1.09 ± 0.41, p = 0.004). Mean glucose CSF/serum ratio and infratentorial lesion burden significantly differed across CIS- and HCL-derived RRMS-patient clusters (F = 14.95, p < 0.001 and F = 6.087, p = 0.002, respectively), mainly due to increased mean values for patients with RRMS-cluster-3. HCL discriminated a cluster of patients with a first demyelinating episode in the context of RRMS with increased disability, laboratory findings linked with increased pathology burden and MRI markers of poor prognosis.     

On the computation of the inverse of a two-variable polynomial matrix by interpolation

Two interpolation algorithms are presented for the computation of the inverse of a two variable polynomial matrix. The first interpolation algorithm, is based on the Lagrange interpolation method that matches pre-assigned data of the determinant and the adjoint of a two-variable polynomial matrix, on a set of points on several circles centered at the origin. The second interpolation algorithm is using discrete fourier transforms (DFT) techniques or better fast fourier transforms which are very efficient algorithms available both in software and hardware and that they are greatly benefitted by the existence of a parallel environment (through symmetric multiprocessing or other techniques). The complexity of both algorithms is discussed and illustrated examples are given. The DFT-algorithm is implemented in the Mathematica programming language and tested in comparison to the respective built-in function of Mathematica.     

Exploration of Pyrazolo[1,5-a]pyrimidines as Membrane-Bound Pyrophosphatase Inhibitors

Inhibition of membrane-bound pyrophosphatase (mPPase) with small molecules offer a new approach in the fight against pathogenic protozoan parasites. mPPases are absent in humans, but essential for many protists as they couple pyrophosphate hydrolysis to the active transport of protons or sodium ions across acidocalcisomal membranes. So far, only few nonphosphorus inhibitors have been reported. Here, we explore the chemical space around previous hits using a combination of screening and synthetic medicinal chemistry, identifying compounds with low micromolar inhibitory activities in the Thermotoga maritima mPPase test system. We furthermore provide early structure-activity relationships around a new scaffold having a pyrazolo[1,5-a]pyrimidine core. The most promising pyrazolo[1,5-a]pyrimidine congener was further investigated and found to inhibit Plasmodium falciparum mPPase in membranes as well as the growth of P. falciparum in an ex vivo survival assay.