D-concurrence bounds for pair coherent states

The pair coherent state is a state of a two-mode radiation field which is known as a state with non-Gaussian wave function. In this paper, the upper and lower bounds for D-concurrence (a new entanglement measure) have been studied over this state and calculated.Comment: 11 page

Impact of Pegylated Interferon-alfa-2a on Perforin Level in Patients With Chronic Hepatitis B; Preliminary Study

Background: Chronic hepatitis B is one of the most common causes of cirrhosis and hepatocellular toxicity in many countries, including Iran. Cytotoxic T lymphocyte (CTL) and Natural killer (NK) cells are the two of main cell populations considered as cytotoxic cells. One of the distinct pathways CTL and NK cells exert cytotoxicity is perforin/granzyme. After the cytotoxic cell/target cell junction, perforin is released from granules by exocytosis. Once it is anchored, perforin forms cylindrical pores through which granzymes and granulysin enter and induce apoptosis. Objectives: Large controlled trials have demonstrated the efficacy of PEG-IFN-alpha-2a in treatment of chronic hepatitis B. This study was aimed to examine whether the enhancement of cytotoxicity by PEG-IFN-alpha-2a is mainly due to the perforin pathway. Patients and Methods: This research work was performed on 50 patients and five healthy people. Patients with chronic hepatitis B were further subdivided into two groups: patients with inactive chronic hepatitis B (carriers, n = 30), and those with active chronic hepatitis B who were under treatment with PEG-IFN-alfa-2a (n = 20) for minimum six and maximum 12 months. Serum perforin level was measured using ELISA method (CUSABIO Company), HBV viral load was assessed using COBAS Taq-man, and we used Elecsys hepatitis B surface antigen (HBs Ag) II quantitative assay method for HBs Ag determination. HBeAg was evaluated by ELISA method, and AST and ALT were measured by routine laboratorymethods. Results: Based on the results obtained serum perforin level in healthy group was 0.64 ng/mL, the mean of serum perforin level in inactive HBs Ag carriers was 2.63ng/mL, and 4.63 ng/mL in patients with active chronic hepatitis B under treatment with PEG-IFN-alpha-2a. The mean of serum perforin level in patients with and without virologic response to treatment were 5.45 ng/mL, and 3.4 ng/mL respectively. Finally in patients with virologic response and seroconverted serum perforin level was 7.23 ng/mL. Conclusions: Based on our results higher perforin level in patients under treatment with PEG-IFN-alpha-2a, could be an indication of elevated cytotoxicity via perforin/granzyme pathway

Evaluating thrombophilia in severe ovarian hyperstimulation syndrome

Background: Ovarian hyper stimulation syndrome (OHSS) and its consequences, especially thromboembolic events, are of the most dangerous complications of assisted reproductive technologies (ART). It is unclear whether a thrombophilic predisposition or changes in blood components during clinical presentation of OHSS increase thrombotic risks. Testing for certain thrombophilias in selected high risk patients may help risk assessment and decision-making about prophylactic measures. Methods: In this study carried out in April 2010 to March 2011, 108 in vitro fertilization candidates with ≥20 follicles following ovarian stimulation were recruited. Protein S, protein C, antithrombin, lupus anticoagulant and anticardiolipin antibodies were measured. Blood tests were compared between severe and non-severe OHSS groups and their changes were traced after onset of clinical OHSS in 43 patients presenting with severe symptoms by repeating the tests at hospital admission. Results: Mean protein S activity was lower in severe OHSS group (101.7±16.3 vs. 118.4±17.0 P<0.001). After clinical presentation of severe OHSS, this level decreased to 91.6±20.1 (P<0.001). Antithrombin levels decreased 2.09% after the onset of symptoms in the group with severe OHSS, but this difference was not statistically significant (P=0.051). Protein C, lupus anticoagulant and anticardiolipin antibodies were not correlated to severe OHSS development. Conclusion: Patients with relatively lower protein S activity were at higher risk for the development of severe OHSS, and its dangerous consequences. During clinical OHSS presentation, protein S decreased even more, and patients were more vulnerable to hypercoagulability states. These points should be kept in mind in risk assessment and adoption of prophylactic strategies

How the service delivery works in the Iranian specialised burns hospitals? A qualitative approach

<div><p>As burn injuries are a major cause of death and infirmity, successful service delivery is vital in health systems. In Iran, a few specialised burns hospitals (SBHs) located in big provinces provide burn services in which burn patients with more severe conditions are referred to. However, SBHs are faced with several challenges for delivering due treatment for burn patients. So, for the first time in Iran, the main aim of the study was to identify the challenges of delivering burn services in SBHs. For this purpose, we conducted a qualitative study during February 2017 to April 2018. Key informants were purposefully selected and interviewed at national and provincial levels from the Ministry of Health, medical universities, and informants working in eight SBHs. The saturation point was reached at 21 face-to-face semi-structured interviews. A thematic analysis approach was employed to analyse transcribed documents assisted by MAXQDA Plus version 12. Our results reveal four themes and twelve subthemes on the challenges of delivering services in SBHs. Themes and (subthemes) including burn care continuum (preventive care, pre-hospital care, hospital care, follow-up, and home care), regionalisation of burning services (access to other specialties and medical services, access to specialized care in provinces without a SBH, standardised regionalisation system for burn related services (BRSs), costs of providing BRSs (expensive services and supplies and long hospitalisation), and non-compliance with standardised care (guidelines to provide burn care and physical space to provide BRSs). Results suggest that improving BRSs delivery in Iran may be reached by strengthening burn care continuum, regionalising burn care, allocating sufficient budgets to burn services and formulating burn care guidelines. These policy actions can be better addressed via intra-sectoral collaborations.</p></div

Securing cloud storage by transparent biometric cryptography

With the capability of storing huge volumes of data over the Internet, cloud storage has become a popular and desirable service for individuals and enterprises. The security issues, nevertheless, have been the intense debate within the cloud community. Given weak passwords, malicious attacks have been happened across a variety of well-known storage services (e.g. Dropbox and Google Drive) – resulting in loss the confidentiality. Although today’s use of third-party cryptographic applications can independently encrypt data, it is arguably cumbersome to manually cipher/decipher each file and administer many keys. Biometric key generation can produce robust keys replacing the need to recall them. However, it still poses usability issues in terms of having to present biometric credentials each time a file needs to be encrypted/decrypted. Transparent biometrics seeks to eliminate the explicit interaction for verification and thereby remove the user inconvenience. This paper investigates the feasibility of key generation on the fly via transparent modalities including fingerprint, face and keystrokes. Sets of experiments using functional datasets reflecting a transparent fashion are conducted to determine the reliability of creating a 256-bit key via pattern classification. Practically, the proposed approach needs to create the correct key once a minute. In view of collecting numerous samples transparently, it is possible then to trade-off the false rejection against the false acceptance to tackle the high error. Accordingly, the average FAR was 0.9%, 0.02%, and 0.06% for fingerprint, face, and keystrokes respectively. © Springer Nature Switzerland AG 2019

Distribution of invasive fungal infections: Molecular epidemiology, etiology, clinical conditions, diagnosis and risk factors: A 3-year experience with 490 patients under intensive care

Recently, the prevalence of invasive fungal infections (IFIs) is rising. The global mortality rate of IFIs is 10�49. This study aimed to determine the prevalence, the causative agents, and the risk factors associated with the invasive fungal infections in a tertiary health center to provide valid decision-grounds for healthcare professionals to effectively prevent, control, and treat fungal infections. The current study was conducted on 1477 patients suspected to have systemic fungal infections from different units of the hospital. After screening using routine mycological examination, the patients were confirmed with complementary mycological and molecular methods. Patients were included based on the confirmed diagnosis of IFI and excluded based on lack of a microbiologically and histologically proven diagnosis of IFI. Of the 1477 patients recruited in this study, confirmed cases of fungal infection were 490 (169 proven; 321 cases probable). Among the fungi recovered, Candida species had the highest frequency 337 (68.8) followed by Aspergillus species 108 (22.1), Zygomycetes species 21 (4.3), non-Candida yeast 9 (1.8). Others were black fungi 5 (1), mycetoma agents 5 (1), Fusarium 4 (0.8), and Trichoderma (0.2). Hematologic malignancies and diabetes mellitus were the most common underlying diseases among IFI-confirmed patients. This study observed an increased frequency of invasive candidiasis with non-albicans Candida and other invasive saprophytic fungal infections. The increased rate of invasive candidiasis with non-albicans agents highlights a new perspective in the epidemiology and treatment of invasive fungal infections. © 2020 Elsevier Lt

Distribution of invasive fungal infections: Molecular epidemiology, etiology, clinical conditions, diagnosis and risk factors: A 3-year experience with 490 patients under intensive care

Recently, the prevalence of invasive fungal infections (IFIs) is rising. The global mortality rate of IFIs is 10-49. This study aimed to determine the prevalence, the causative agents, and the risk factors associated with the invasive fungal infections in a tertiary health center to provide valid decision-grounds for healthcare professionals to effectively prevent, control, and treat fungal infections. The current study was conducted on 1477 patients suspected to have systemic fungal infections from different units of the hospital. After screening using routine mycological examination, the patients were confirmed with complementary mycological and molecular methods. Patients were included based on the confirmed diagnosis of IFI and excluded based on lack of a microbiologically and histologically proven diagnosis of IFI. Of the 1477 patients recruited in this study, confirmed cases of fungal infection were 490 (169 proven; 321 cases probable). Among the fungi recovered, Candida species had the highest frequency 337 (68.8) followed by Aspergillus species 108 (22.1), Zygomycetes species 21 (4.3), non-Candida yeast 9 (1.8). Others were black fungi 5 (1), mycetoma agents 5 (1), Fusarium 4 (0.8), and Trichoderma (0.2). Hematologic malignancies and diabetes mellitus were the most common underlying diseases among IFI-confirmed patients. This study observed an increased frequency of invasive candidiasis with non-albicans Candida and other invasive saprophytic fungal infections. The increased rate of invasive candidiasis with non-albicans agents highlights a new perspective in the epidemiology and treatment of invasive fungal infections

Statistical shape modelling for expression-invariant face analysis and recognition

Paper introduces a 3-D shape representation scheme for automatic face analysis and identification, and demonstrates its invariance to facial expression. The core of this scheme lies on the combination of statistical shape modelling and non-rigid deformation matching. While the former matches 3-D faces with facial expression, the latter provides a low-dimensional feature vector that controls the deformation of model for matching the shape of new input, thereby enabling robust identification of 3-D faces. The proposed scheme is also able to handle the pose variation without large part of missing data. To assist the establishment of dense point correspondences, a modified freeform-deformation based on B-spline warping is applied with the help of extracted landmarks. The hybrid iterative closest point method is introduced for matching the models and new data. The feasibility and effectiveness of the proposed method was investigated using standard publicly available Gavab and BU-3DFE datasets, which contain faces with expression and pose changes. The performance of the system was compared with that of nine benchmark approaches. The experimental results demonstrate that the proposed scheme provides a competitive solution for face recognition