At the heart of the canonical Wnt signaling pathway is the beta-catenin destruction complex, which functions in the absence of Wnt signaling to keep the cytosolic and nuclear levels of beta-catenin ...very low by promoting the phosphorylation and ubiquitination of beta-catenin. Structural studies, combined with other experimental approaches, have begun to provide important insights into the mechanism of the destruction complex. We suggest a working model for the destruction complex based on the existing structural and experimental data, and focus on the questions that this model and other studies have raised about the function of the complex in both the normal and Wnt-inhibited states.
Studies suggest that the Mediterranean-style diet (MSD) may improve glucose metabolism in patients with type 2 diabetes (T2D), but the results are inconsistent. We conducted a meta-analysis of ...randomized controlled trials (RCTs) to explore the effects of MSD on glycemic control, weight loss and cardiovascular risk factors in T2D patients.
We performed searches of EMBASE, Cochrane Library and PubMed databases up to February 2014. We included RCTs that compared the MSD with control diets in patients with T2D. Effect size was estimated as mean difference with 95% confidence interval (CI) by using random effect models.
The meta-analysis included nine studies with 1178 patients. Compared with control diets, MSD led to greater reductions in hemoglobin A1c (mean difference, -0.30; 95% CI, -0.46 to -0.14), fasting plasma glucose (-0.72 mmol/l; CI, -1.24 to -0.21), fasting insulin (-0.55 μU/ml; CI, -0.81 to -0.29), body mass index (-0.29 kg/m(2); CI, -0.46 to -0.12) and body weight (-0.29 kg; CI, -0.55 to -0.04). Likewise, concentrations of total cholesterol and triglyceride were decreased (-0.14 mmol/l; CI, -0.19 to -0.09 and -0.29 mmol/l; CI, -0.47 to -0.10, respectively), and high-density lipoprotein was increased (0.06 mmol/l; CI, 0.02 to 0.10). In addition, MSD was associated with a decline of 1.45 mm Hg (CI, -1.97 to -0.94) for systolic blood pressure and 1.41 mm Hg (CI, -1.84 to -0.97) for diastolic blood pressure.
The present meta-analysis provides evidence that MSD improves outcomes of glycemic control, body weight and cardiovascular risk factors in T2D patients.
Vocal fold injection for laryngoplasty Xu, W
Zhonghua er bi yan hou tou jing wai ke za zhi = Chinese journal of otorhinolaryngology head and neck surgery,
2020-Nov-07, Letnik:
55, Številka:
11
Journal Article
To investigate the rate of periprosthetic joint infection (PJI) revision surgeries and clinical information of hip-/knee- PJI cases nationwide from 2015 to 2017 in China.
An epidemiological ...investigation. A self-designed questionnaire and convenience sampling were used to survey 41 regional joint replacement centers nationwide from November 2018 to December 2019 in China. The PJI was diagnosed according to the Musculoskeletal Infection Association criteria. Data of PJI patients were obtained by searching the inpatient database of each hospital. Questionnaire entries were extracted from the clinical records by specialist. Then the differences in rate of PJI revision surgery between hip- and knee- PJI revision cases were calculated and compared.
Total of 36 hospitals (87.8%) nationwide reported data on 99 791 hip and knee arthroplasties performed from 2015 to 2017, with 946 revisions due to PJI (0.96%). The overall hip-PJI revision rate was 0.99% (481/48 574), and it was 0.97% (135/13 963), 0.97% (153/15 730) a
•A deep convolutional neural network is established to measure PACBED parameters including size, center, rotation, thickness and tilt.•The convolutional neural network automatically analyzes PACBED ...patterns at a rate of 0.1 s/pattern, orders of magnitude faster than brute force methods.•The method is demonstrated to be well suited for big data analysis.•A methodology to evaluate the convolutional neural network response is proposed and explored.•A convolutional neural network/least squares hybrid method is proposed for further generalization and to accelerate processing.
We establish a series of deep convolutional neural networks to automatically analyze position averaged convergent beam electron diffraction patterns. The networks first calibrate the zero-order disk size, center position, and rotation without the need for pretreating the data. With the aligned data, additional networks then measure the sample thickness and tilt. The performance of the network is explored as a function of a variety of variables including thickness, tilt, and dose. A methodology to explore the response of the neural network to various pattern features is also presented. Processing patterns at a rate of ∼ 0.1 s/pattern, the network is shown to be orders of magnitude faster than a brute force method while maintaining accuracy. The approach is thus suitable for automatically processing big, 4D STEM data. We also discuss the generality of the method to other materials/orientations as well as a hybrid approach that combines the features of the neural network with least squares fitting for even more robust analysis. The source code is available at https://github.com/subangstrom/DeepDiffraction.
Electrical current in conventional metals is carried by electrons that retain their individual character. Bad metals, such as the normal state of some high-temperature superconductors, violate this ...scenario, and the complete picture for their behavior remains unresolved. Here, we report phenomena consistent with bad-metal behaviour in an optical-lattice Hubbard model by measuring the transport lifetime for a mass current excited by stimulated Raman transitions. We demonstrate incompatibility with weak-scattering theory and key characteristics of bad metals: anomalous resistivity scaling consistent with T-linear behavior, the onset of incoherent transport, and the approach to the Mott-Ioffe-Regel limit. Our work demonstrates a direct method for determining the transport lifetime, which is critical to theory but difficult to measure in materials, and exposes minimal ingredients for bad-metal behavior.
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