PPAR α and PPAR γ Polymorphisms as risk factors for Dyslipidemia in a Chinese han population

BACKGROUND: The PPAR α and PPAR γ are the key messengers responsible for the translation of nutritional stimuli into changes for the expression of genes, particularly genes involved in lipid metabolism. However, the associations between PPAR α / γ polymorphisms and lipid serum levels in the general population were rarely studied, and the conclusions were conflicting. The objective was to investigate the associations of the PPAR α and PPAR γ polymorphisms with dyslipidemia. METHODS: 820 subjects were randomly selected from the Prevention of Multiple Metabolic Disorders and MS in Jiangsu Province cohort populations. The logistic regression model was used to examine the association between these polymorphisms and dyslipidemia. SNPstats was used to explore the haplotype association analyses. RESULTS: In the codominant and log-additive models, rs1800206, rs1805192 and rs3856806 were all associated with dyslipidemia (P < 0.005). When the most common haplotype L-G (established by rs1800206, rs4253778) was treated as the reference group, the V-G haplotype was associated with dyslipidemia (P < 0.001), higher TC and TG levels (P < 0.01). Moreover, when compared to Pro-C haplotype (established by rs1805192, rs3856806), the Pro-T, Ala-C, Ala-T haplotypes were associated with dyslipidemia (p < 0.001). A-T haplotype was associated with higher TC levels, (p < 0.01), and the P-T, A-C, A-T haplotypes were associated with higher TG levels (p < 0.01). CONCLUSIONS: PPAR α and PPAR γ polymorphisms and haplotypes may be the genetic risk factors for dyslipidemia

Design Optimization of a Speed Reducer Using Deterministic Techniques

The optimal design problem of minimizing the total weight of a speed reducer under constraints is a generalized geometric programming problem. Since the metaheuristic approaches cannot guarantee to find the global optimum of a generalized geometric programming problem, this paper applies an efficient deterministic approach to globally solve speed reducer design problems. The original problem is converted by variable transformations and piecewise linearization techniques. The reformulated problem is a convex mixed-integer nonlinear programming problem solvable to reach an approximate global solution within an acceptable error. Experiment results from solving a practical speed reducer design problem indicate that this study obtains a better solution comparing with the other existing methods

Applicability Study of A Slope Motion Monitor Using Video Motion Detection Technology

This study primarily investigates the applicability of video motion detection (VMD) technology for detecting side-slope movement. This technology involves using an economical high-resolution camera to instantly record activities, such as side-slope sliding, toppling, and movement. Concurrently, sum of absolute differences (SAD) analysis was combined with the threshold value to assess the side-slope surface movement. The physical modeling detection results showed that the VMD technology instantly detects side-slope tension crack development, rock deformation, and the location of collapsing surfaces, thereby effectively improving the effectiveness of alarms before and during disasters. Actual landslide case analysis shows that dip-slope movement is detected through gradual expansion of initial slanted rectangular red blocks and instant magnification following the block expansion on the ground level. The monitoring mechanism of VDM technology for detecting the speed and movement of debris flow can be used as a reference in disaster prevention and evacuations of people living in downstream areas. Furthermore, this study generalizes the limitations of VMD technology. These generalizations can be used as a reference for future slope surface movement monitoring and related studies.本文主要探討影像感測技術於邊坡運動監測之適用性，藉由低成本、高解析度攝影機即時記錄邊坡滑動、傾倒及流動等過程，並以絕對差值分析法搭配門檻值評估邊坡地表運動過程。物理模型感測結果顯示，採用影像感測技術可即時偵測邊坡張裂隙發展、岩體變形與地表瞬間崩壞之區位，有效提升災前及災中預警之成效。實際山崩案例分析發現，順向坡滑動之感測特徵由初始傾斜長條型紅色區塊逐漸增加範圍，最終塊體於地面擴散後將造成紅色區塊瞬間擴大。而影像感測技術對於土石流速度及流動狀況之監測，亦可作為下游保全對象防災疏散之參考。此外，本研究亦初步歸納影像感測技術之應用限制，期能作為未來邊坡地表變動監測與相關研究之參考

Deep Time-Stream Framework for Click-Through Rate Prediction by Tracking Interest Evolution

Click-through rate (CTR) prediction is an essential task in industrial applications such as video recommendation. Recently, deep learning models have been proposed to learn the representation of users' overall interests, while ignoring the fact that interests may dynamically change over time. We argue that it is necessary to consider the continuous-time information in CTR models to track user interest trend from rich historical behaviors. In this paper, we propose a novel Deep Time-Stream framework (DTS) which introduces the time information by an ordinary differential equations (ODE). DTS continuously models the evolution of interests using a neural network, and thus is able to tackle the challenge of dynamically representing users' interests based on their historical behaviors. In addition, our framework can be seamlessly applied to any existing deep CTR models by leveraging the additional Time-Stream Module, while no changes are made to the original CTR models. Experiments on public dataset as well as real industry dataset with billions of samples demonstrate the effectiveness of proposed approaches, which achieve superior performance compared with existing methods.Comment: 8 pages. arXiv admin note: text overlap with arXiv:1809.03672 by other author

A generic framework for genuine multipartite entanglement detection

Design of detection strategies for multipartite entanglement stands as a central importance on our understanding of fundamental quantum mechanics and has had substantial impact on quantum information applications. However, accurate and robust detection approaches are severely hindered, particularly when the number of nodes grows rapidly like in a quantum network. Here we present an exquisite procedure that generates novel entanglement witness for arbitrary targeted state via a generic and operational framework. The framework enjoys a systematic and high-efficient character and allows to substantiate genuine multipartite entanglement for a variety of states that arise naturally in practical situations, and to dramatically outperform currently standard methods. With excellent noise tolerance, our framework should be broadly applicable to witness genuine multipartite entanglement in various practically scenarios, and to facilitate making the best use of entangled resources in the emerging area of quantum network.Comment: 27 pages, 5 figure

N evolution and physiochemical structure changes in chars during co-pyrolysis: Effects of abundance of glucose in fiberboard

© 2020 by the authors. The simple incineration of wood-based panels (WBPs) waste generates a significant amount of NOx, which has led to urgency in developing a new method for treating the N-containing biomass residues. This work aims to examine the N evolution and physiochemical structural changes during the co-pyrolysis of fiberboard and glucose, where the percentage of glucose in the feedstock was varied from 0% to 70%. It was found that N retention in chars was monotonically increased with increasing use of glucose, achieving ~60% N fixation when the glucose accounted for 70% in the mixture. Pyrrole-N (N-5) and Pyridine-N (N-6) were preferentially formed at high ratios of glucose to fiberboard. While the relevant importance of volatile–char interactions to N retention and transformation could be observed, the volatile–volatile reactions from the two feedstocks played a vital role in the increase in abundance of glucose. With the introduction of glucose, the porous structure and porosity in chars from the co-pyrolysis were dramatically altered, whereas the devolatilization of glucose tended to generate larger pores than the fiberboard. The insignificant changes in carbon structure of all chars revealed by Raman spectroscopy would practically allow us to apply the monosaccharides to the WBPs for regulating N evolution without concerns about its side effects for char carbon structures