379 research outputs found
Crystal structure and electronic structure of quaternary semiconductors CuZnTiSe and CuZnTiS for solar cell absorber
We design two new I2-II-IV-VI4 quaternary semiconductors CuZnTiSe and
CuZnTiS, and systematically study the crystal and electronic structure
by employing first-principles electronic structure calculations. Among the
considered crystal structures, it is confirmed that the band gaps of
CuZnTiSe and CuZnTiS originate from the full occupied Cu 3
valence band and unoccupied Ti 3 conducting band, and kesterite structure
should be the ground state. Furthermore, our calculations indicate that
CuZnTiSe and CuZnTiS have comparable band gaps with
CuZnTSe and CuZnTS, but almost twice larger absorption
coefficient . Thus, the materials are expected to be candidate
materials for solar cell absorber.Comment: 4 pages, 4 figure
Beliefs about medicines and non-adherence in patients with stroke, diabetes mellitus and rheumatoid arthritis: a cross-sectional study in China
OBJECTIVES:
To investigate beliefs about medicines and their association with medicine adherence in patients with chronic diseases in China.
DESIGN:
A cross-sectional questionnaire-based study SETTING: Two large urban hospitals in Hefei and Tianjin, China PARTICIPANTS: Hospital inpatients (313 stroke patients) and outpatients (315 diabetic patients and 339 rheumatoid arthritis (RA) patients) were recruited between January 2014 and September 2014.
OUTCOME MEASURES:
The Beliefs about Medicines Questionnaire (BMQ), assessing patients' beliefs about the specific medicine (Specific-Necessity and Specific-Concerns) prescribed for their conditions (stroke/diabetes/RA) and more general background beliefs about pharmaceuticals as a class of treatment (BMQ-General Benefit, Harm and Overuse); the Perceived Sensitivity to Medicines scale (PSM) assessed patients' beliefs about how sensitive they were to the effects of medicines and the Medication Adherence Report Scale. The association between non-adherence and beliefs about medicines was assessed using a logistic regression model.
RESULTS:
Patients with diabetes mellitus had a stronger perceived need for treatment (mean (SD) Specific-Necessity score, 3.75 (0.40)) than patients with stroke (3.69 (0.53)) and RA (3.66 (0.44)) (p=0.049). Moderate correlations were observed between Specific-Concerns and General-Overuse, General-Harm and PSM (Pearson correlation coefficients, 0.39, 0.49 and 0.49, respectively, p<0.01). Three hundred and eleven patients were non-adherent to their medicine (159 (51.0%) in the stroke group, 60 (26.7%) in the diabetes mellitus group and 62 (19.8%) in the RA group, p<0.01). Across the whole sample, after adjusting for demographic characteristics, non-adherence was associated with patients who had higher concerns about their medicines (OR, 1.35, 95% CI 1.07 to 1.71) and patients who believed that they were personally sensitive to the effects of medications (OR 1.44, 95% CI 1.16 to 1.85).
CONCLUSION:
The BMQ is a useful tool to identify patients at risk of non-adherence. In the future, adherence intervention studies may use the BMQ to screen for patients who are at risk of non-adherence and to map interventional support
Towards Top-Down Stereoscopic Image Quality Assessment via Stereo Attention
Stereoscopic image quality assessment (SIQA) plays a crucial role in
evaluating and improving the visual experience of 3D content. Existing
binocular properties and attention-based methods for SIQA have achieved
promising performance. However, these bottom-up approaches are inadequate in
exploiting the inherent characteristics of the human visual system (HVS). This
paper presents a novel network for SIQA via stereo attention, employing a
top-down perspective to guide the quality assessment process. Our proposed
method realizes the guidance from high-level binocular signals down to
low-level monocular signals, while the binocular and monocular information can
be calibrated progressively throughout the processing pipeline. We design a
generalized Stereo AttenTion (SAT) block to implement the top-down philosophy
in stereo perception. This block utilizes the fusion-generated attention map as
a high-level binocular modulator, influencing the representation of two
low-level monocular features. Additionally, we introduce an Energy Coefficient
(EC) to account for recent findings indicating that binocular responses in the
primate primary visual cortex are less than the sum of monocular responses. The
adaptive EC can tune the magnitude of binocular response flexibly, thus
enhancing the formation of robust binocular features within our framework. To
extract the most discriminative quality information from the summation and
subtraction of the two branches of monocular features, we utilize a
dual-pooling strategy that applies min-pooling and max-pooling operations to
the respective branches. Experimental results highlight the superiority of our
top-down method in simulating the property of visual perception and advancing
the state-of-the-art in the SIQA field. The code of this work is available at
https://github.com/Fanning-Zhang/SATNet.Comment: 13 pages, 4 figure
Global Dynamics of an HTLV-1 Model with Cell-to-Cell Infection and Mitosis
A mathematical model of human T-cell lymphotropic virus type 1 in vivo with cell-to-cell infection and mitosis is
formulated and studied. The basic reproductive number R0 is derived. It is proved that the dynamics of the model can
be determined completely by the magnitude of R0. The infection-free equilibrium is globally asymptotically stable
(unstable) if R01). There exists a chronic infection equilibrium and it is globally asymptotically stable if R0>1
Advances in Antenna Design and System Technologies for Next Generation Cellular Systems
10.1155/2013/610319International Journal of Antennas and Propagation201361031
Limits to Sustained Energy Intake XXXI : Effect of Graded Levels of Dietary Fat on Lactation Performance in Swiss Mice
We thank the staff of animal facility for their care of the animals. This study was funded by the National Key Research and Development Program of China (SQ2018YFA08003201) and the Chinese Academy of Sciences Strategic Program (XDB13030100).Peer reviewedPostprin
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