To date, a growing number of clinical studies have demonstrated the safety and health benefits from Baduanjin intervention. Based on this, our objective is to systematically retrieve and summarize ...the clinical studies on Baduanjin, with a view to providing more evidence-based evidence in support of the application of Baduanjin for healthcare, and to identify the shortcomings of existing research and provide feasibility suggest for further clinical research. Both four English language and four Chinese language electronic databases were used to search articles related to Baduanjin during 2000–2019. SPSS 22.0 software was used to analyze the data, and the risk of bias tool in the RevMan 5.3.5 software was used to evaluate the methodological quality of randomized controlled trials. A total of 810 publications were identified, including 43 (5.3%) systematic reviews, 614 (75.8%) randomized controlled trials, 66 (8.1%) nonrandomized controlled clinical studies, 84 (10.4%) case series, and 3 (0.4%) case reports. The top 10 diseases/conditions included diabetes, chronic obstructive pulmonary disease, hypertension, low back pain, neck pain, stroke, coronary heart disease, cognitive impairment, insomnia, and osteoporosis or osteopenia. The style of State General Administration of Sport of China in 2003 was the most commonly used version of Baduanjin, and Baduanjin was practiced with an average of 35 minutes, 1 or 2 times a day, 3–5 days per week, and a 18-week average duration. It is also worth noting that there were no serious adverse events related to Baduanjin intervention. Most studies were small sample size research, and the methodological quality of randomized controlled trials is generally low. The clinical studies of Baduanjin have a substantial quantity and evidence base. However, there are significant differences among different studies in the specific intervention measures such as style, intensity, duration, learning, and practice methods, which need to be further standardized and unified. Further high-quality designed and reporting studies are recommended to further validate the clinical benefits of Baduanjin.
The rapid advancement of information technology has necessitated the development of materials with enhanced properties. NiZn ferrite is one of the focal points among this area due to its superior ...magnetic and dielectric properties; however, the sintering temperature is usually > 1200 °C. In this study, dense Ni
0.5
Zn
0.5
Fe
2
O
4
(NZFO) ceramics were synthesized by a cold sintering process (CSP) associated with a post heat treatment. The relative density for NZFO ceramics reaches a value of 97% when annealed at 1100 °C with saturation magnetization 79.3 emu/g and dielectric constant 22.1 at 1 MHz, which are higher than NZFO ceramics prepared by conventional sintering at 1100 °C. The improved performance for NZFO ceramics prepared by CSP-assisted process is ascribed to the higher density and fine microstructures. These findings suggest that cold sintering process technique holds promising potential for enhancing the performance of ferrite ceramics.
Background: Hepatocellular carcinoma (HCC) (about 85–90% of primary liver cancer) is particularly prevalent in China because of the high prevalence of chronic hepatitis B infection. HCC is the fourth ...most common malignancy and the third leading cause of tumor-related deaths in China. It poses a significant threat to the life and health of Chinese people. Summary: This guideline presents official recommendations of the National Health and Family Planning Commission of the People’s Republic of China on the surveillance, diagnosis, staging, and treatment of HCC occurring in China. The guideline was written by more than 50 experts in the field of HCC in China (including liver surgeons, medical oncologists, hepatologists, interventional radiologists, and diagnostic radiologists) on the basis of recent evidence and expert opinions, balance of benefits and harms, cost-benefit strategies, and other clinical considerations. Key Messages: The guideline presents the Chinese staging system, and recommendations regarding patients with HCC in China to ensure optimum patient outcomes.
Abstract
We report the application of machine learning methods for predicting the effective diffusivity (
D
e
) of two-dimensional porous media from images of their structures. Pore structures are ...built using reconstruction methods and represented as images, and their effective diffusivity is computed by lattice Boltzmann (LBM) simulations. The datasets thus generated are used to train convolutional neural network (CNN) models and evaluate their performance. The trained model predicts the effective diffusivity of porous structures with computational cost orders of magnitude lower than LBM simulations. The optimized model performs well on porous media with realistic topology, large variation of porosity (0.28–0.98), and effective diffusivity spanning more than one order of magnitude (0.1 ≲
D
e
< 1), e.g., >95% of predicted
D
e
have truncated relative error of <10% when the true
D
e
is larger than 0.2. The CNN model provides better prediction than the empirical Bruggeman equation, especially for porous structure with small diffusivity. The relative error of CNN predictions, however, is rather high for structures with
D
e
< 0.1. To address this issue, the porosity of porous structures is encoded directly into the neural network but the performance is enhanced marginally. Further improvement, i.e., 70% of the CNN predictions for structures with true
D
e
< 0.1 have relative error <30%, is achieved by removing trapped regions and dead-end pathways using a simple algorithm. These results suggest that deep learning augmented by field knowledge can be a powerful technique for predicting the transport properties of porous media. Directions for future research of machine learning in porous media are discussed based on detailed analysis of the performance of CNN models in the present work.
To investigate the safety of adult-to-adult living donor liver transplantation (AALDLT), which means how to make the life safeties of both adult donor and recipient who are transplanted with the ...right lobe of liver.
From January 2002 to July 2006, 50 A-ALDLT were performed at West China Hospital, Sichuan University, which consisted of 47 cases with right lobe graft without middle hepatic vein (MHV) and 3 cases with the dual graft of liver lobes (one cases with two left lobes, 2 with one right and one left lobe). The majority of adult liver recipients suffered originally from the hepatitis B with liver cirrhosis (60%), hepatocellular carcinoma (30%) as primary diseases, and 10 cases among them had the model of end-stage liver disease (MELD) score more than 25. The grafting livers of donors were routinely scanned under three-dimensional computed tomography (CT), and the scan image data were computed for volume reconstructions of whole and right lobe livers. Various innovative surgical techniques were adopted fo
The gas-solid interface is generally considered to be the weakest part in gas-insulated systems. The flashover voltage of a gas-solid interface is difficult to predict because it involves an ...extremely complex physical process affected by multiple factors. In this paper, we employ the support vector regression (SVR) method based on mass data on the features of the electric field that are indicators of the flashover voltage. We cast 48 kinds of epoxy resin post insulators as samples, and 61 features are extracted to characterize the surface electric field distribution and the flashover voltage under standard lightning impulse voltage. Four indicators that may be useful in predicting the flashover voltage were obtained; the maximum electric field along the surface of the insulator (E max ), the normal electric field components of E max (E n_Emax ), the maximum gradient of the surface tangential electric field component (E t_gm ), and the integral of the area in which the E value exceeds x% of E max along the insulator surface (V t60 ). We establish an SVR flashover voltage prediction model with these four features, whose average deviation is 7% in 10,000 predictions. It is expected that this study may provide a reference for the continued study of the gas-solid surface flashover mechanism.
Abstract
Blazar CTA 102 experienced an intense multiwavelength activity phase from 2015 to 2018; in particular, an unprecedented outburst was observed from 2016 October to 2017 February. In this ...work, we extract a 7 day binned
γ
-ray light curve from 2008 August to 2018 March in the energy range 0.1–300 GeV and identify three main outbursts. We study in detail the short-timescale variability of these three outbursts via an exponential function with parameterized rise and decay timescales. The obtained shortest rise and decay timescales are 0.70 ± 0.05 hr and 0.79 ± 0.27 hr, respectively. Based on these variability timescales, the physical parameters of the flaring region (e.g., the minimum Doppler factor and the emission region size) are constrained. The short-timescale flares exhibit a symmetric temporal profile within the error bars, implying that the rise and decay timescales are dominated by the light-crossing timescale or by disturbances caused by dense plasma blobs passing through the standing shock front in the jet region. We also find that the best-fitting form of the
γ
-ray spectra during the flare period is a power law with an exponential cutoff. The derived jet parameters from the spectral behavior and the temporal characteristics of the individual flares suggest that the
γ
-ray emission region is located upstream of the radio core. The extreme
γ
-ray flare of CTA 102 is likely to have been caused by magnetic reconnection.
In recent years, accidents such as spontaneous combustion and explosion have frequently occurred in the field of electrochemical energy storage, and thermal runaway caused by short-circuit faults in ...lithium-ion (Li-ion) batteries is one of the main reasons. This study investigated the internal short circuit (ISC) fault diagnosis method for Li-ion (LiFePO4) batteries in energy storage devices. A short-circuit fault diagnosis method for battery module components based on voltage cosine similarity is proposed based on the characteristics extracted from the ISC fault battery. In this method, the voltage and current of the battery were used to derive a two-dimensional feature vector, and a gain multiple with excitation information was introduced to perform secondary processing on the eigenvectors and achieve effective separation of the fault-signal features. The experimental results show that the proposed method can achieve a second-level rapid diagnosis of short-circuit faults in batteries when the simulated ISC resistance is below 5 Ω, and the excellent fault-detection capabilities for modules with inconsistent states of charge and the performance of the proposed method under dynamic conditions are verified.
•Diagnosis by comparing cosine similarity of two-dimensional parameter vectors•Fast diagnosis in seconds for internal short-circuit faults of different magnitudes•Model-independent and low-computational•Suitable for battery modules with different capacities and inconsistent SOC
The biorestoration of cyhalofop-butyl and fertility in soil using Rhodopseudanonas palustris (R. palustris) in the treated wastewater were investigated in this research. Cyhalofop-butyl was not ...degraded under control group. The treated wastewater containing R. palustris degraded cyhalofop-butyl and remediated fertility. Interestingly, the cyhalofop-butyl-hydrolyzing carboxylesterase gene was expressed after inoculation 24 h. Subsequently, the cyhalofop-butyl-hydrolyzing carboxylesterase were synthesized to degrade cyhalofop-butyl. The cyhalofop-butyl started to be degraded after inoculation 24 h. The cyhalofop-butyl as stimulus signal induced cyhalofop-butyl-hydrolyzing carboxylesterase gene expression through signal transduction pathway. This process took 24 h for R. palustris as they were ancient bacteria. The residual organics in the wastewater provided sufficient carbon sources and energy for R. palustris under three dosage groups. The new method completed the remediation of cyhalofop-butyl pollution, the improvement of soil fertility and soybean processing wastewater treatment simultaneously, and realized the resource reutilization of wastewater and R. palustris as sludge.
PDF
