The design and realization of flexible wearable wireless music controller

By using flexible sensors and micro-control units, a wireless controller that can be integrated into clothing for cross-platform music control has been designed and implemented, providing a new idea for making a simple and low-cost flexible wearable sensing system. The design and implementation of a wireless controller that can be integrated into clothing for cross-platform music control provides a new idea for the preparation of a simple and low-cost flexible wearable sensing system. Based on the flexible fabric sensing material, a simple structured sensor piece is proposed as a button for the controller with good wearing comfort. The sensor element is capable of sensing finger presses up to 15kPa. ESP32 is used as a micro-control unit for sensing signal acquisition and data processing. Using the Bluetooth chip integrated inside the ESP32, the controller can be connected with terminal devices of different platforms for wireless data transmission. The results show that the prepared wireless music controller can be stably connected with both Windows computer terminal and Android cell phone terminal, and the sensor recognition accuracy of finger press is 99.7%, which indicates that the flexible fabric sensor has a broad application prospect in the field of wearable devices

Essays on Married Women Labor Supply

One of the very interesting demographic features in the US over the last three decades of the 20th century is the increase of the married women labor force participation rate. Over the same period, estimated labor supply elasticity varies substantially. This dissertation is to investigate the reasons behind them. I first study the determinants of the increase of the labor participation rate for married women with preschool-aged children over the last three decades of the 20th century. Using 5% samples of the Integrated Public Use Microdata Series (IPUMS) for 1980, 1990 and 2000, I find that the existing explanations proposed in the literature may only account for 9.6% increase in the 1980s and 70% decrease in the 1990s. In this paper, I find that the rising ratio of career type women can explain 30.33% of the growth in the labor force participation rate, and the change in the composition of career motivating career type women can at least explain 17.22% growth across cohorts. Women who have been working three years before their first childbearing are more likely to return to work after the childbearing period. The analyzing data is the National Longitudinal Survey of Young Women (NLSYW) from 1968 to 2003 and the National Longitudinal Survey of Youth 1979 (NLSY79) from 1979 to 2008. This dissertation sheds some insight about a puzzle on estimated married women's labor supply elasticity variation. This important puzzle (sometimes referred to as the Hausman puzzle) is that the estimated labor supply elasticity varies substantially even when similar frameworks and similar datasets are used. I study the role of budget sets in producing this wide range of estimates. In particular, I study the effect of the typical convexification approximation of the non-convex budgets, and the well-known Heckman critique of the lack of bunching at the kink points of budget sets in the Hausman model. I introduce measurement error in nonlabor income to create an uncertain budget constraint that no longer implies bunching at kink points. Using the Panel Study of Income Dynamics (PSID) of 1984 and 2001, I find that neither the convexification approximation nor using a model with random budget sets affects the estimates. These results demonstrate that variations in budget constraints alone do not explain the different estimates of labor supply elasticity. Changing the level of budget sets, for example by ignoring the state individual income tax, could affect the variation in elasticities

A Cost-Effective Wireless Sensor Network System for Indoor Air Quality Monitoring Applications

This paper from the 9th International Conference on Future Networks and Communications, FNC 2014 conference proceedings presents a low-cost indoor air quality monitoring wireless sensor network system developed using Arduino, XBee modules, and micro gas sensors

Mangiferin ameliorates insulin resistance in a rat model of polycystic ovary syndrome via inhibition of inflammation

Purpose: To examine the effect of mangiferin on insulin resistance (IR) in a rat polycystic ovary syndrome (PCOS) model.Methods: The rat PCOS model was established via subcutaneous injection of 6 mg/kg of dehydroepiandrosterone (DHEA), and mangiferin was orally administered. Body and ovarian weights were recorded. Serum levels of glucose, insulin, and related inflammatory cytokines were evaluated by quantitative real-time polymerase chain reaction (qRT-PCR) and enzyme-linked immunosorbent assay, while the expression levels of key proteins were analyzed by western blotting.Results: DHEA significantly increased ovarian weight and the ratio of ovarian weight/body weight (p <0.001), while mangiferin treatment decreased them (p < 0.001). Mangiferin also lowered DHEA-induced enhancements in serum glucose and insulin levels (p < 0.001). The mRNA and, expression and concentrations of inflammatory cytokines (interleukin-6(IL-6), interleukin-1β (IL-1β) and tumor necrosis factor-α (TNF-α)) were also significantly reduced by mangiferin treatment (p < 0.001). Furthermore, mangiferin suppressed phosphorylation of nuclear factor-kappa B (NF-κB) but increased the phosphorylation of protein kinase B (AKT, p < 0.001).Conclusion: These results reveal that mangiferin not only decreases inflammatory cytokine levels by regulating NF-κB signaling pathway but also ameliorates IR in a rat PCOS model via regulating AKT signaling pathway. Thus, mangiferin is a potential therapeutic strategy for the management of PCOS. Keywords: Polycystic ovary syndrome, Mangiferin, Inflammation, Insulin resistance, NF-κB, AK

Indoor Propagation Modeling at 2.4 GHZ for IEEE 802.11 Networks

This paper discusses indoor propagation modeling

Numerical analysis of evaluation methods and influencing factors for dynamic stability of bedding rock slope

As the inclination of a bedding surface is consistent with the inclination of a slope, the stability of a bedding rock slope is relatively poor, especially under dynamic loads such as earthquake and blasting. In the dynamic stability analysis of slope, the evaluation methods and influence factors of slope stability are two important concerns. Therefore, two typical bedding rock slopes are respectively established by FLAC3D to study the above concerns. The pseudo-static method, dynamic time-history method and dynamic strength reduction method is used to evaluate the dynamic stability of the model slope, and the applicability of the three methods is compared. The influence of five parameters including dynamic load frequency, slope angle, slope height, strata inclination and strata thickness on the dynamic stability is considered in the model slope with a set of bedding planes. The results show that the dynamic strength reduction method has good suitability for the stability evaluation of a bedding rock slope due to its good solution in the instability judgment and evaluation index. The dynamic stability of a slope becomes worse when the load frequency is close to the natural frequency of the slope. Due to the “elevation effect” and “bedding surface effect” in the dynamic slope response, the slope stability decreases with the increase of slope height and the reduction of strata thickness. The slope stability decreases with the increase of strata inclination and slope angle, and the strata inclination is the most sensitive parameter influencing the slope stability. When the slope angle and height increase to a certain value, the downward trend of slope stability gradually become gentle. For the model slope in this paper, when the slope angle reaches 55° and the slope height reaches 200 m, the reduction of slope stability will be no longer obvious with the increase of a slope angle and slope height