Survey of sleep status and its related factors among Hospitalized patients with heart failure

Background: Sleep disorders among heart failure (HF) patients negatively influence the quality of life. Awareness of sleep disturbances, as one of the disturbing factors of the quality of life among HF patients, and its related factors would help health care staff to provide more comprehensive care. Hence, this study was conducted to determine the quality of sleep and its related factors in hospitalized patients with HF. Methods: This cross-sectional survey study was conducted on 240 patients with HF hospitalized in one of the health centers of Guilan University of Medical Sciences between July and December 2013. Samples were selected by convenience sampling. The Pittsburgh Sleep Quality Index and a researcher-designed questionnaire on sleep disturbing factors were the instruments of this study. The correlation and relationship between sleep quality and variables related to personal, environmental, and disease factors were assessed. Results: The majority of the samples (91.2) had a poor sleep quality. A significant positive correlation was found between sleep quality and age (r = 0.322; p value < 0.001), body mass index (r = 0.212; p value < 0.001), number of comorbidities (r = 0.205; p value = 0.001), number of hospitalizations (r = 0.202; p value < 0.001), number of drugs consumed (r = 0.178; p value = 0.003), and length of stay in hospital (r = 0.149; p value = 0.011). Also, significant differences were seen between sleep quality and sex (p value = 0.014), smoking (p value = 0.038), educational level (p value = 0. 047), and hospital noise (p value = 0. 004). Conclusion: Age, sex, educational level, smoking, and obesity were the most significant factors affecting the sleep quality in our HF patients. © 2015 Tehran Heart Center. All rights reserved

Residual stress measurement round robin on an electron beam welded joint between austenitic stainless steel 316L(N) and ferritic steel P91

This paper is a research output of DMW-Creep project which is part of a national UK programme through the RCUK Energy programme and India's Department of Atomic Energy. The research is focussed on understanding the characteristics of welded joints between austenitic stainless steel and ferritic steel that are widely used in many nuclear power generating plants and petrochemical industries as well as conventional coal and gas-fired power systems. The members of the DMW-Creep project have under- taken parallel round robin activities measuring the residual stresses generated by a dissimilar metal weld (DMW) between AISI 316L(N) austenitic stainless steel and P91 ferritic-martensitic steel. Electron beam (EB) welding was employed to produce a single bead weld on a plate specimen and an additional smoothing pass (known cosmetic pass) was then introduced using a defocused beam. The welding re- sidual stresses have been measured by five experimental methods including (I) neutron diffraction (ND), (II) X-Ray diffraction (XRD), (III) contour method (CM), (IV) incremental deep hole drilling (iDHD) and (V) incremental centre hole drilling (iCHD). The round robin measurements of weld residual stresses are compared in order to characterise surface and sub-surface residual stresses comprehensively

Fast Neural Network Predictions from Constrained Aerodynamics Datasets

Incorporating computational fluid dynamics in the design process of jets, spacecraft, or gas turbine engines is often challenged by the required computational resources and simulation time, which depend on the chosen physics-based computational models and grid resolutions. An ongoing problem in the field is how to simulate these systems faster but with sufficient accuracy. While many approaches involve simplified models of the underlying physics, others are model-free and make predictions based only on existing simulation data. We present a novel model-free approach in which we reformulate the simulation problem to effectively increase the size of constrained pre-computed datasets and introduce a novel neural network architecture (called a cluster network) with an inductive bias well-suited to highly nonlinear computational fluid dynamics solutions. Compared to the state-of-the-art in model-based approximations, we show that our approach is nearly as accurate, an order of magnitude faster, and easier to apply. Furthermore, we show that our method outperforms other model-free approaches

Cross-Category Adaptation: Objects Produce Gender Adaptation in the Perception of Faces

Adaptation aftereffects have been found for low-level visual features such as colour, motion and shape perception, as well as higher-level features such as gender, race and identity in domains such as faces and biological motion. It is not yet clear if adaptation effects in humans extend beyond this set of higher order features. The aim of this study was to investigate whether objects highly associated with one gender, e.g. high heels for females or electric shavers for males can modulate gender perception of a face. In two separate experiments, we adapted subjects to a series of objects highly associated with one gender and subsequently asked participants to judge the gender of an ambiguous face. Results showed that participants are more likely to perceive an ambiguous face as male after being exposed to objects highly associated to females and vice versa. A gender adaptation aftereffect was obtained despite the adaptor and test stimuli being from different global categories (objects and faces respectively). These findings show that our perception of gender from faces is highly affected by our environment and recent experience. This suggests two possible mechanisms: (a) that perception of the gender associated with an object shares at least some brain areas with those responsible for gender perception of faces and (b) adaptation to gender, which is a high-level concept, can modulate brain areas that are involved in facial gender perception through top-down processes

Sister chromatid exchange in peripheral blood lymphocytes as a possible breast cancer risk biomarker: A study of Iranian patients with breast cancer

Introduction: Sister chromatid exchanges (SCEs) can be induced by variousgenotoxic treatments, suggesting that SCEs refl ect a DNA repair process and it may be a good index for assessment of genomic instability. However, the occurrence of genetic instability and in particular, of spontaneous SCEs has been strongly linked to cancer. Several chromosomal regions and many genes have been implicated in breast cancer.Materials and Methods: Blood samples were obtained from 31 Iranian breast cancer patients and 11 healthy women. SCE was measured in peripheral blood lymphocytes by adding to Ham’sF10 medium in presence of PHA, BrdU (5-bromo-deoxy Uridine) fl uorochrome Hoechst 33258, exposure to UV light and Giemsa staining. Then, SCE frequencies of patient and control groups were compared by the Mann-Withney U-test.Results: Signifi cantly difference was observed between two groups (

Design, fabrication and verification of a novel auxetic microstructure using topology optimization

This is the author accepted manuscript. The final version is available from Springer via the DOI in this recordThis research presents a numerical method to design a two-dimensional auxetic microstructure with negative Poisson’s ratios. The method is established by combining the finite element method (FEM) with two different optimization procedures called bi-directional evolutionary structural optimization (BESO) and solid isotropic material with penalization (SIMP), respectively. The results show that by choosing any of the two methods of optimization (FEM and BESO or FEM and SIMP), each with a different objective function, it is possible to create microstructures that show negative Poisson’s ratio. In addition, there is a significant resemblance between the results of both optimization methodologies. The final part of this study is to verify the outcome of optimization, both numerically and experimentally using three-dimensional (3D) printing techniques

The Role of Liposomal CpG ODN on the Course of L. major Infection in BALB/C Mice

"nBackground: Historically, leishmanization is the most effective protective measure against Cutaneous Leishmaniasis (CL), CL lesion induced by leishmanization sometimes takes a long time to heal. Ma­nipulation of leishmanization inoculums needed to induce a mild and acceptable CL lesion. The aim of this study was to explore if liposomal form of CpG ODN (Cytosin phosphate Guanin Oligodeoxynu­cleotides) mixed with Leishmania major   would induce a milder lesion size in Balb/c mice."nMethods: This study was performed in Biotechnology Research Center, Mashhad, and Center for Re­search and Training in Skin Diseases and Leprosy, Tehran, Iran during 2008-2009.  mice were subcutaneously (SC) inoculated with L. major mixed with liposomal form of CpG ODN, or L. major plus free CpG ODN, or L. major mixed with empty liposomes or L. major in PBS. The lesion onset and the size of lesion were recorded; the death rate was also monitored. "nResult: Footpad thickness was significantly (P<0.01) smaller, death rate was also significantly (P<0.05) lower in the mice received L. major mixed with liposomal CpG ODN or free CpG ODN than control groups received L. major in PBS or L. major plus liposomes, also mice which received L. ma­jor mixed with CpG ODN in soluble form showed a significantly (P < 0.001) smaller lesion size than control groups."nConclusion: CpG ODN seems to be an appropriate immunopotentiator mixed with Leishmania stabi­late in leishmanization

Proline, protein, RWC and MSI contents affected by paclobutrazol and water deficit treatments in strawberry cv. Paros

Drought is one of the critical environmental stresses that affect growth and development of plants. Plants are damaged directly and indirectly under drought stress. Increasing water stress tolerance in plants is crucial. The aim of this study was to investigate the effects of different water stress levels (-1, -5, and -10 bars) and paclobutrazol application (0 and 50 mg-l) on strawberry cv. Paros. According to analyses of variance there were significant effects of drought stress and paclobutrazol application on leaf area, leaf dry weight, leaf relative water content (RWC), cell membrane stability index (MSI), proline and protein content of leaves. Leaf area, leaf dry weight, leaf relative water content and cell membrane stability index decreased in drought stress, especially at -10 bars. Proline and protein contents were enhanced by increasing water stress levels. Paclobutrazol application increased leaf relative water content and cell membrane stability index, proline and protein contents of leaves. Leaf relative water content was 68.77% in -10 bars drought stress that increased to 79% in paclobutrazol treatment. Also, cell membrane stability index was 69.65% in severe drought stress and reached to 77% in paclobutrazol treatment. According to the results pacloburazol is a benefit substance to ameliorate drought stress effects in strawberry cv. Paros

The level of aflatoxin M1 in raw and pasteurized milk produced in alborz province, Iran

Background: Aflatoxins are agroupof very toxiccompoundsproducedby a fungal speciesandare foundin food products. Aflatoxin M1 (AFM1) is a type found in dairy products and resistant to pasteurization. AFM1 can adversely affect hepatocytes in human and leading to various liver diseases. Thus, it is essential to examine raw milk for the presence of AFM1. Objectives: The current study aimed to evaluate the levels of AFM1 in raw and pasteurized milk produced in Alborz province, Iran. Materials and Methods: Ninety seven samples of rawmilk and 20 samples of pasteurized milk were collected from milk collecting centers and different supermarkets, respectively. Samples were analyzed to determine AFM1 level by immunoaffinity column chromatography, and high-performance liquid chromatography (HPLC) using a C18 column with fluorescence detector. Mobile phase was water-acetonitrile-methanol (6:2:2 V/V/V) at a flow rate of 1.0 mL/minute. Results: AFM1 was detected in all samples with various concentration levels ranging from 0.0024 to 0.231 μg/kg, the mean concentration = 0.027±0.018 μg/kg. Conclusions: According to the results of the current study, 9.27 of the rawmilk and 5 of the pasteurized milk samples had higher levels of AFM1 than the maximum recommended limit (0.05 μg/kg) by food and agriculture organization (FAO). © 2016, School of Pharmacy, Ahvaz Jundishapur University of Medical Sciences