Abstract Purpose Currently, the association of depression with sarcopenia and obesity status is unclear. We investigated the role of three types of possible sarcopenic obesity [possible sarcopenic central obesity (PSCO), possible sarcopenic general obesity (PSGO), possible sarcopenic visceral obesity (PSVO)] as risk factors for depression among the middle-aged and the elderly. Methods We adopted a longitudinal design utilizing data from the China Health and Retirement Longitudinal Study. We evaluated depression using the CES-D-10. Basic characteristics analysis and age-stratified logistic regression models were employed. Results 6 006 participants without depression and 1 853 with depression were included. Among middle-aged participants, associations were observed in possible sarcopenia with obesity (PS/O) group (OR = 1.78, 95% CI: 1.02–3.12, p = 0.043) and possible sarcopenia without obesity (PS) group (OR = 1.58, 95% CI: 1.16–2.13, p = 0.003) after full-adjustment regarding PSGO. The associations within PSVO mirrored those observed in PSGO. For PSCO, only PS group demonstrated an association (OR = 1.66, 95% CI: 1.12–2.45, p = 0.011) after full-adjustment. Among the elderly, the PS group (OR = 1.27, 95% CI: 1.03–1.57, p = 0.027) exhibited an increased risk of depression after full-adjustment regarding PSGO. No association was detected after full-adjustment in PSVO and PSCO. The results obtained through complete case and multiple imputation method were comparable, although multiple imputation revealed more significant associations between PS group and depression within PSCO and PSVO in the elderly. Conclusion For the middle-aged, PSGO and PSVO were significantly associated with depression. Moreover, PSGO and PSVO were superior to PSCO as risk factors for depression. For the elderly, possible sarcopenia was significantly associated with depression.
In this paper, the cause of disorder-voice of NO.1 generator in Dongjin hydrodynamic plant is analysed. The method of eliminating the disorder-voice and attentive problems during generator running are put forward.
According to the need of bridge group network security monitoring, fiber optic sensing technology and internet of things concept are used for the study on bridge structural safety monitoring network platform. From four parts, namely, function goals, service contents, hierarchy model and working environment, the network platform function analysis are finished. Aim at the present situation of bridge safety monitoring systems in Wuhan, a preliminary platform application effect bearing by main interface and navigation menu is introduced.
The current conventional distribution network alert state adjustable potential assessment method mainly obtains the assessment matrix by constructing the affiliation function to achieve the adjustable potential assessment, which leads to poor assessment accuracy due to the lack of analysis of line loss abnormal state. In this regard, a new distribution network alert state adjustable potential assessment method based on the improved isolated forest algorithm is proposed. Combined with the isolated forest algorithm, a random hyperplane cutting space is constructed to calculate the line loss anomaly fraction, and the value is used as one of the evaluation indexes to construct a potential evaluation index system, and the actual values of different indexes are calculated to realize the adjustable potential evaluation. In the experiments, the proposed method is verified for the evaluation accuracy. The experimental results show that the error value between the evaluation score and the actual result is small when the proposed method is used to evaluate the adjustable potential of the alert state of the distribution network, which has a more desirable evaluation accuracy.
The effects of postdeposition anneal of chemical vapor deposited silicon nitride are studied. The Si 3 N 4 films were in situ annealed in either H 2 (2%)/O 2 at 950/spl deg/C or N 2 O at 950/spl deg/C in a rapid thermal oxidation system. It is found that an interfacial oxide was grown at the Si 3 N 4 /Si interface by both postdeposition anneal conditions. This was confirmed by thickness measurement and X-ray photoelectronic spectroscopy (XPS) analysis. The devices with H 2 (2%)/O 2 anneal exhibit a lower gate leakage current and improved reliability compared to that of N 2 O anneal. This improvement is attributed to a greater efficiency of generating atomic oxygen in the presence of a small amount of hydrogen, leading to the elimination of structural defects in the as-deposited Si 3 N 4 film by the atomic oxygen. Good drivability is also demonstrated on a 0.12 μm n-MOSFET device.
In this paper, we combine the acoustic vector-sensor array parameter estimation problem with the parallel profiles with linear dependencies (PARALIND) model, which was originally applied to biology and chemistry. Exploiting the PARALIND decomposition approach, we propose a blind coherent two-dimensional direction of arrival (2D-DOA) estimation algorithm for arbitrarily spaced acoustic vector-sensor arrays subject to unknown locations. The proposed algorithm works well to achieve automatically paired azimuth and elevation angles for coherent and incoherent angle estimation of acoustic vector-sensor arrays, as well as the paired correlated matrix of the sources. Our algorithm, in contrast with conventional coherent angle estimation algorithms such as the forward backward spatial smoothing (FBSS) estimation of signal parameters via rotational invariance technique (ESPRIT) algorithm, not only has much better angle estimation performance, even for closely-spaced sources, but is also available for arbitrary arrays. Simulation results verify the effectiveness of our algorithm.
This paper describes the design of a new-style and high-stability semiconductor laser diode(LD) linear drive power supply, which is able to drive 100 mW to 1.8 W laser diodes and the output current can be continuously adjustable from 0 A to 2.5 A. The current stability obtained in the LD driver circuit is superior to 0.3 0 / 00 . In the design we have innovative ideas of the soft-start circuit, the current-limiting circuit with special rated-current setting function, the surge ripple prevention and filter circuit,especially enhance the stability and security of the power drive system. Such design will be found wide applications in the fields of teaching, scientific research and production.
The coding efficiency of the Wyner-Ziv video decoder is largely dependent on the quality of the side information obtained in the decoder.The reason why constructing effective side information is difficult is partly caused by unavailability of the original video sequence in the decoder.The traditional motion search method is used to obtain side information, which greatly increases the complexity of Wyner-Ziv video decoding.This paper proposes a new method of extracting side information based on the general prediction idea.This new method is called Wyner-Ziv Video Coding (WZUP) with general prediction.This method does not conduct motion search in the decoder or presuppose a model for the original input video sequence.Instead, side information is estimated based on observations of video data that have been reconstructed in the past.Through testing, this method can greatly reduce the decoder's decoding complexity and achieve good side information estimation performance.This makes it possible to design video encoders and decoders with low computation complexity.
In Wyner-Ziv (WZ) video coding, decoder side information (SI) estimation takes an important role. In this paper, an approach to SI estimation for WZ video coding is proposed. It is based on universal prediction and motion compensated temporal interpolation (MCTI). In the approach, a WZ frame which is to be decoded is first divided into non-overlapping blocks. According to their motion activity, the blocks in the WZ frame are further classified as of low or high motion activity. SI for blocks with low motion activity are estimated based on universal prediction, while those of high motion activity are estimated through MCTI. As a result, the approach takes the advantages of both universal prediction and MCTI based SI estimation. It can provide SI of better quality than the first approach while is more computationally efficient than the second one. The performance of the proposed approach is tested and the simulation results are presented.
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