Effect of educational program on milk consumption based on the theory of planned behavior among girl students

Background An adequate level of calcium intake during growth years can extensively help to stabilize calcium level and increase bone density. However, calcium intake in female school-age students is low. This study aimed to determine effect of educational programs on milk consumption based on the theory of planned behavior among 7th grade girl students in Kashan city, Iran. Materials and Methods: This studywas interventional quasi‑experimentalresearch. 220 girl students (110 for interventional group and 110 for control group), were selected by simple random sampling from schools in Kashan city, Iran. The researcher-made questionnaire based on theory of planned behavior used for data collection. Interventional programs were performed using lectures, poster, and pamphlet. The questionnaire was completed by the students twice, before and two months after the implementation of educational program. Data were analyzed by SPSS version 20.0 using descriptive statistics and independent t-test. Results: After the implementation of the educational programs, the rate of milk consumption at home significantly increased among the interventional group (P<0.05). Also, there was a significantly increase in the mean scores of attitude (P < 0.05), subjective norms (P< 0.05), perceived behavioral control (P< 0.05), and intention of milk consumption (P < 0.001) in the interventional group. Conclusion Educational programs based on the theory of planned behavior led to an increase in the scores of attitude, subjective norm, perceived behavioral control, and milk consumption intention among girl students. Thus, educational interventions and programs should be designed and implemented based on the theories of health education

Fabrication and aero dynamic levitation of chalcogenide glass spheres

Spheres of gallium-lanthanum sulphide (GLS) and gallium lanthanum sulphite (GLSO) have been produced by laser irradiation on a copper hearth. Although similar fabrication techniques have been applied to oxide glasses, the technique has been overlooked for the production of chalcogenide glasses due to the perceived problem of the volatility of the chalcogens. In this work, glass microspheres of GLS/GLSO have been fabricated by laser irradiation of micron size irregular shaped glass particles on a Cu plate. In this material we found that evaporation of sulphur was not substantial as it appears to be more strongly chemically bound [1]. In addition to this method we have also established that it is possible to form larger spheres (mm diameter) of GLSO by aerodynamic levitation and laser heating using a CO2 laser (10.6 µm wavelength). Our studies involve overheating and supercooling of liquids and melts, outgassing analysis, high temperature resistivity measurements, and crystallization/structural studies [1-3]. In both fabrication methods the glasses could be melted and re-vitrified with low sulphur mass loss. We conclude that the production of glass spheres by laser irradiation[4] from irregular shaped starting material on a substrate using the wetting principle has substantial benefits for making microspheres and nanospheres

Synthesis of Positron Emission Tomography (PET) Images via Multi-channel Generative Adversarial Networks (GANs)

Positron emission tomography (PET) image synthesis plays an important role, which can be used to boost the training data for computer aided diagnosis systems. However, existing image synthesis methods have problems in synthesizing the low resolution PET images. To address these limitations, we propose multi-channel generative adversarial networks (M-GAN) based PET image synthesis method. Different to the existing methods which rely on using low-level features, the proposed M-GAN is capable to represent the features in a high-level of semantic based on the adversarial learning concept. In addition, M-GAN enables to take the input from the annotation (label) to synthesize the high uptake regions e.g., tumors and from the computed tomography (CT) images to constrain the appearance consistency and output the synthetic PET images directly. Our results on 50 lung cancer PET-CT studies indicate that our method was much closer to the real PET images when compared with the existing methods.Comment: 9 pages, 2 figure

Agr typing of Staphylococcus aureus species isolated from clinical samples in training hospitals of Isfahan and Shahrekord

OBJECTIVE: As an opportunistic pathogen, Staphylococcus aureus is associated with serious nosocomial infections and growing antimicrobial resistance against beta-lactams among S. aureus strains has become a global challenge. The current study was designed to investigate the presence of agr genes among S. aureus strains recovered from clinical samples in university hospitals of Isfahan and Shahrekord. RESULTS: A total of 150 S. aureus isolates were screened by Disk diffusion method (DDM) and conventional PCR. The minimum (17.3%) and maximum (46%) antibiotic resistance rates were found in vancomycin and cefoxitin, respectively. The majority of our isolates were classified as agr type I followed by type II, type IV, and type III. The statistical analysis showed a significant correlation between agr type I and antibiotic resistance against cefoxitin and erythromycin (p = 0.04 and p = 0.03, respectively). Based on our findings, the agr typing could be considered an effective approach for molecular tracking of S. aureus infections

Multi-Modal Neuroimaging Analysis and Visualization Tool (MMVT)

Sophisticated visualization tools are essential for the presentation and exploration of human neuroimaging data. While two-dimensional orthogonal views of neuroimaging data are conventionally used to display activity and statistical analysis, three-dimensional (3D) representation is useful for showing the spatial distribution of a functional network, as well as its temporal evolution. For these purposes, there is currently no open-source, 3D neuroimaging tool that can simultaneously visualize desired combinations of MRI, CT, EEG, MEG, fMRI, PET, and intracranial EEG (i.e., ECoG, depth electrodes, and DBS). Here we present the Multi-Modal Visualization Tool (MMVT), which is designed for researchers to interact with their neuroimaging functional and anatomical data through simultaneous visualization of these existing imaging modalities. MMVT contains two separate modules: The first is an add-on to the open-source, 3D-rendering program Blender. It is an interactive graphical interface that enables users to simultaneously visualize multi-modality functional and statistical data on cortical and subcortical surfaces as well as MEEG sensors and intracranial electrodes. This tool also enables highly accurate 3D visualization of neuroanatomy, including the location of invasive electrodes relative to brain structures. The second module includes complete stand-alone pre-processing pipelines, from raw data to statistical maps. Each of the modules and module features can be integrated, separate from the tool, into existing data pipelines. This gives the tool a distinct advantage in both clinical and research domains as each has highly specialized visual and processing needs. MMVT leverages open-source software to build a comprehensive tool for data visualization and exploration.Comment: 29 pages, 10 figure

Active photonic metamaterials

Nanostructured photonic metamaterials with narrow-band responses provide a promising platform for applications ranging from slow-light and polarization control to optical modulation and the 'lasing spaser'. We show that the introduction of functional (nonlinear, switchable, gain, etc.) media into such structures provides a powerful paradigm for the active control of their resonant properties, for the enhancement of nonlinear responses and for strong switching performance in sub-wavelength devices

Serial CT analysis in idiopathic pulmonary fibrosis: comparison of visual features that determine patient outcome

Aims: Patients with idiopathic pulmonary fibrosis (IPF) receiving antifibrotic medication and patients with non-IPF fibrosing lung disease often demonstrate rates of annualised forced vital capacity (FVC) decline within the range of measurement variation (5.0%–9.9%). We examined whether change in visual CT variables could help confirm whether marginal FVC declines represented genuine clinical deterioration rather than measurement noise. Methods: In two IPF cohorts (cohort 1: n=103, cohort 2: n=108), separate pairs of radiologists scored paired volumetric CTs (acquired between 6 and 24 months from baseline). Change in interstitial lung disease, honeycombing, reticulation, ground-glass opacity extents and traction bronchiectasis severity was evaluated using a 5-point scale, with mortality prediction analysed using univariable and multivariable Cox regression analyses. Both IPF populations were then combined to determine whether change in CT variables could predict mortality in patients with marginal FVC declines. Results: On univariate analysis, change in all CT variables except ground-glass opacity predicted mortality in both cohorts. On multivariate analysis adjusted for patient age, gender, antifibrotic use and baseline disease severity (diffusing capacity for carbon monoxide), change in traction bronchiectasis severity predicted mortality independent of FVC decline. Change in traction bronchiectasis severity demonstrated good interobserver agreement among both scorer pairs. Across all study patients with marginal FVC declines, change in traction bronchiectasis severity independently predicted mortality and identified more patients with deterioration than change in honeycombing extent. Conclusions: Change in traction bronchiectasis severity is a measure of disease progression that could be used to help resolve the clinical importance of marginal FVC declines