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Components Having an influence on General public Thinking towards COVID-19 Vaccination: The Scoping Evaluate Informed from the Socio-Ecological Model.
An image interpolation model based on sparse representation is proposed. Two widely used priors including sparsity and nonlocal self-similarity are used as the regularization terms to boost the performance of the interpolation model. Meanwhile, we incorporate nonlocal linear regression into this model, since nonlocal similar patches could provide a better approximation to a given patch. Moreover, we propose a new approach to learn an adaptive sub-dictionary online instead of clustering. For each patch, similar patches are grouped to learn the adaptive sub-dictionary, generating a more sparse and accurate representation. Finally, weighted encoding is introduced to suppress tailing of fitting residuals in data fidelity. Abundant experimental results show that our proposed method achieves better performance compared to several state-of-the-art methods in terms of subjective and objective evaluations.The quantitative analyses of pH value in soil have been performed using laser-induced breakdown spectroscopy (LIBS) technology. The aim of this work was to obtain a reliable and accurate method for rapid detection of pH value in soil. Seventy-four samples were used as a calibration set, and 24 samples were used as a prediction set. To eliminate the matrix effect, the multivariate models of partial least-squares regression (PLSR) and least-squares support vector regression (LS-SVR) were used to construct the models. The intensities of nine emission lines of C, Ca, Na, O, H, Mg, Al, and Fe elements were used to fit the models. For the PLSR model, the correlation coefficient was 0.897 and 0.906 for the calibration and prediction set, respectively. Furthermore, the analysis accuracy was improved effectively by the LS-SVR method, and the correlation coefficients for calibration and prediction set were improved to 0.991 and 0.987. The prediction mean absolute error was pH 0.1 units, and the root mean square error of the prediction was only 0.079. The results indicated that the LIBS technique coupled with LS-SVR could be a reliable and accurate method for determining pH value in soil.Optimization of a wide-angle paratellurite acousto-optic tunable filter (AOTF) is performed for applications in laser beam shaping systems. The AOTF configuration with annular transfer function is analyzed. It is demonstrated that the optimal AOTF design for single-frequency operation as a narrow-band spatial frequency filter is obtained at acoustic propagation angle of 5.6° relative to the [110] axis. The optimal design for maximization of AOTF resolution in multifrequency laser beam shaping operation mode is obtained at acoustic propagation angle of 13.8°.We investigated interference fringes due to superposition of diverging light waves reflected from the two sides of a plane parallel plate. A non-localized fringe pattern of high contrast was obtained as a function of incident angle when we used a coherent diverging beam. We found that the fringe density increased to a certain angle and then decreased thereafter, against the common belief that the fringe density increases monotonically with the angle of incidence. Because the fringe density is maximum at this angle and does not change rapidly in the vicinity, we could employ Fourier analysis to estimate interferometric parameters, such as thickness, refractive index, and wavelength, that determine the characteristic stationary fringe density.The promising advancement of supercontinuum generation in optical fibers has initiated significant interest in recent research studies and several continuing applications. We numerically corroborate the effects of picosecond pulse pumped supercontinuum (SC) by using two weak continuous-wave (CW) triggers with 1% pump intensity. Compared with SC with one CW trigger, adding two CW triggers (1% pump power), both near the modulation instability peaks, can achieve wider spectra for a picosecond pulse pumped SC. Furthermore, good coherence properties may be achieved in the wavelength range from 1300-2000 nm when one CW trigger is near the pump center wavelength and the other CW trigger is distant from the pump. In our simulations, putting two CW triggers on the same side (concerning the pump wavelength) or putting them on different sides have similar effects on SC spectral and temporal coherence properties. Therefore, by engineering the wavelengths of two CW triggers to offer better bandwidth or coherence, we envision that the proposed technique could play a significant role in the generation of SC.Visible light communication is a kind of wireless communication that combines illumination and communication, so dimming control is an essential function for visible light communication systems. Although many dimming control schemes have been proposed, few simultaneously utilize amplitude and spatial resources. The combination of these two resources can further improve the communication performance of the system. Thus, we propose a dimming control scheme that takes advantage of phase-shifted space-time codes to improve error performance and spectral efficiency. Additionally, we provide an encoding structure and a fast detection algorithm for the proposed scheme. Finally, simulation results show the performance of the proposed scheme compared with other schemes.Digital holographic microscopy (DHM) suffers from a limited refocus depth range due to the employed microscope objective. The relationship between the refocus depth range of the DHM system and its optical parameters is studied theoretically and experimentally, and a method is proposed that combines wavefront coding with bicubic interpolation and extrapolation iteration to extend the refocus depth range. For obtaining a uniform point spread function on the refocus plane, a propagator kernel in numerical reconstruction is multiplied by a numerical logarithmic phase mask, and a deviation of the refocus distance is made. To improve the resolution of the refocused image, the size of the hologram is doubly enlarged. This approach can extend the refocus depth range from 0.9 up to 1.5 mm. click here This work provides important guidance for high-resolution imaging with a large refocus depth range in DHM.This paper proposes a framework for the three-dimensional (3D) reconstruction of specular surfaces. The framework begins with a modified reconstruction method that uses gradient descent to accurately search for the correspondence matches in the binocular vision system. An analysis of the binocular vision system shows that the reconstruction result is not necessarily unique and the reconstruction accuracy is significantly compromised by a bilinear interpolation error. An error-based selection algorithm is proposed to select the correct result. To improve the reconstruction accuracy, binocular vision and zonal wavefront reconstruction are incorporated. The reconstruction result from the binocular vision system is taken as a reference surface for slope estimation. The measured slope is then integrated into a height map by the zonal wavefront reconstruction. The overall reconstruction process provides an accurate reconstruction result without the need for prior surface information. Simulations and experiments were conducted to verify the feasibility of the proposed algorithms. A relative error of 0.59% or less is experimentally recorded in the step-size measurement of a stair-like object.Hollow-core fibers are advantageous for chemical sensing as they facilitate liquid infiltration into the core over conventional porous core fiber. In addition, the requirement of less bulk material significantly decreases the effective material loss (EML). In this paper, a six circular cladding tube negative curvature hollow-core fiber (NC-HCF) is proposed for chemical sensing. Five different chemicals including chloroform, polylactic acid, CCL3, glycerin, and benzene are proposed to fill the core of the NC-HCF, and sensitivities are evaluated by full vector finite element method-based COMSOL software. Numerical results reveal that the proposed sensor exhibits very high relative sensitivity in a wide range of frequency. The fabrication of the proposed fiber is feasible by existing fabrication facilities as it contains realistic fabrication parameters. Hence, the proposed sensor can potentially be used as a chemical sensor especially in the medical, food, and industrial sectors as the five chemicals mentioned above carry great medical and food significance.BACKGROUND In early 2020, severe acute respiratory syndrome-corona virus 2 caused an outbreak of a viral pneumonia that rapidly progressed to a global pandemic. Most cases presented with mild respiratory symptoms and required only supportive care with instructions to self-quarantine at home. Others had more severe symptoms that became complicated by acute respiratory distress syndrome (ARDS) and required hospitalization. CASE REPORT In this report, we present the case of a young patient in New York City who presented to our hospital with coronavirus disease 2019-induced diabetic ketoacidosis (DKA) that progressed to ARDS and subsequent death. The patient was managed for DKA on presentation with insulin protocol and acidosis management. However, it became evident that he had underlying respiratory complications, which later presented as ARDS requiring mechanical ventilation and antibiotics. CONCLUSIONS We recommend that clinicians be aware of this potentially fatal complication in all patients with pre-existing diabetes. Simultaneously, a low threshold for intubation should be advocated for patients with concurrent COVID-19 and type I diabetes mellitus since the potential for poor clinical outcomes from respiratory demise may be lessened by early respiratory intervention.BACKGROUND Bladder carcinoma (BLCA) is a leading cause of cancer-related deaths worldwide. The aim of this work was to develop an accurate stratification in predicting the prognosis and directing the treatment of BLCA patients based on small nucleolar RNAs (snoRNAs). MATERIAL AND METHODS Expression profiles of snoRNAs were downloaded from the SNORic database. The expression profiles and clinical outcomes of BLCA patients were analyzed. Survival-associated snoRNAs were identified and used to develop a novel risk score classifier. Genes in the whole genome that were significantly correlated with the included prognostic snoRNAs were used for functional enrichment analysis. RESULTS The results showed that age, American Joint Committee on Cancer (AJCC) stage, and tumor status were significantly correlated with overall survival (OS) of BLCA patients. We selected 12 survival-associated snoRNAs to build a prognostic signature. Patients were separated into high- and low-risk groups based on the median value of the risk score. Patients in the high-risk group and low-risk group have distinct clinical outcomes. The AJCC TNM stage showed moderate utility as a prognostic indicator for clinical outcome prediction. Then, clinical parameters and risk scores were entered in multivariate Cox analysis. Notably, the prognostic signature remained an independent significant prognostic risk factor. The pathway analysis suggested that these genes were enriched in several types of cancer and "Focal adhesion" pathways. CONCLUSIONS The prognostic signature defined by expression profiles of 12 survival-associated snoRNAs appears to be an excellent predictor of the clinical outcome of BLCA patients.
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