Deep Neural Network-Based Fusion Localization Using Smartphones.

Indoor location-based services (LBS) have tremendous practical and social value in intelligent life due to the pervasiveness of smartphones. The magnetic field-based localization method has been an interesting research hotspot because of its temporal stability, ubiquitousness, infrastructure-free nature, and good compatibility with smartphones. However, utilizing discrete magnetic signals may result in ambiguous localization features caused by random noise and similar magnetic signals in complex symmetric and large-scale indoor environments. To address this issue, we propose a deep neural network-based fusion indoor localization system that integrates magnetic and pedestrian dead reckoning (PDR). In this system, we first propose a ResNet-GRU-LSTM neural network model to achieve magnetic localization more accurately. Afterward, we put forward a multifeatured-driven step length estimation. A hierarchy GRU (H-GRU) neural network model is proposed, and a multidimensional dataset using acceleration and a gyroscope is constructed to extract more valid characteristics. Finally, more reliable and accurate pedestrian localization can be achieved under the particle filter framework. Experiments were conducted at two trial sites with two pedestrians and four smartphones. Results demonstrate that the proposed system achieves better accuracy and robustness than other traditional localization algorithms. Moreover, the proposed system exhibits good generality and practicality in real-time localization with low cost and low computational complexity.

Characterization of Two AGAMOUS-like Genes and Their Promoters from the Cymbidium faberi (Orchidaceae).

Arabidopsis AGAMOUS (AG) play roles in determining stamens' and carpels' identities, floral meristem determinacy, and repression of the A-function. Gynostemium fused by stamens and carpels is a characteristic reproductive structure in orchid flowers, which shows a considerable difference from the reproductive organs of eudicots and other monocot species. The molecular basis of orchid gynostemium development remains largely unknown. Here, we report the identification and functional characterization of two AG-like genes, CyfaAG1 and CyfaAG2, and their promoters from C. faberi. Both CyfaAG1 and CyfaAG2 are highly expressed in the anther cap, gynostemium, and ovary. Ectopic expression of CyfaAG1 and CyfaAG2 promotes early flowering of wild-type Arabidopsis. Moreover, ectopic expression of CyfaAG1 completely rescues floral defects in the Arabidopsis ag-1 mutant, while ectopic expression of CyfaAG2 only completes filament and carpel development. Our findings suggest that CyfaAG1 acts as an evolutionarily conserved C-function gene in determining reproductive organ identity and mediating floral meristem determinacy. CyfaAG2 redundantly mediates the C-function in floral meristem determinacy and gynostemium development. Our results provided more details to understand how the C-class function has been partitioned in orchids, and the roles of two AG orthologs in regulating gynostemium development in C. faberi.

Wearable Sensor-Based Monitoring of Environmental Exposures and the Associated Health Effects: A Review.

Recent advances in sensor technology have facilitated the development and use of personalized sensors in monitoring environmental factors and the associated health effects. No studies have reviewed the research advancement in examining population-based health responses to environmental exposure via portable sensors/instruments. This study aims to review studies that use portable sensors to measure environmental factors and health responses while exploring the environmental effects on health. With a thorough literature review using two major English databases (Web of Science and PubMed), 24 eligible studies were included and analyzed out of 16,751 total records. The 24 studies include 5 on physical factors, 19 on chemical factors, and none on biological factors. The results show that particles were the most considered environmental factor among all of the physical, chemical, and biological factors, followed by total volatile organic compounds and carbon monoxide. Heart rate and heart rate variability were the most considered health indicators among all cardiopulmonary outcomes, followed by respiratory function. The studies mostly had a sample size of fewer than 100 participants and a study period of less than a week due to the challenges in accessing low-cost, small, and light wearable sensors. This review guides future sensor-based environmental health studies on project design and sensor selection.

[Day-Night Differences and Source Apportionment of Inorganic Components of PM2.5 During Summer-Winter in Changzhou City].

To investigate the day-night variation characteristics of inorganic components in atmospheric aerosol, PM2.5 samples were continuously collected for one month in Changzhou during summer and winter. Eleven water-soluble ions (WSⅡs) and 13 metal elements were compared in terms of their day-night character and sources. The results indicated that the day time average PM2.5 mass concentration was higher than the night time, while the percentage of the total WSⅡs in PM2.5 during the night was higher. The total WSⅡs fractions in PM2.5 were higher in winter (44%-45%) compared to summer (31%-36%), with an opposite seasonal character for metal elements (winter day 3.03%, winter night 2.29%, summer day 4.40%, summer night 4.51%). SO42-, NO3-, and NH4+, were the three main secondary ions, comprising 77%-85% of the total WSⅡs, suggesting that air pollution in Changzhou exhibits complex pollution characteristics dominated by secondary processes. The day time SO42-/WSⅡs ratio (49.0%) was slightly higher than that of the night (41.1%) due to the photochemical reaction under stronger solar radiation, while the lower NO3-(1.98 µg·m-3) in the day compared to the night (5.10 µg·m-3) was attributed to the decomposition of NH4NO3 during summer days. A good linear correlation among NH4+, SO42- and NO3-, accompanied by a ratio of predicted NH4+ to measured NH4+ near 1, illustrated that NH4+ ions mainly existed in the form of (NH4)2SO4, NH4NO3, and NH4Cl. It was concluded from the ion balance that PM2.5 was weakly alkaline in summer but neutral in winter. Fe, Al, and Zn were the largest contributors to the total metal elements, with higher concentrations of Fe and Al and lower levels of Zn in the day time. A correlation coefficient analysis and principle component analysis revealed that inorganic components come from sources that include secondary aerosol formation, suspended dust, and vehicle emissions, but there is some seasonal variation and day-night differences.

[Pollution Characteristics and Source Identification of PAHs in Atmospheric PM2.5 in Changzhou City].

A total of 55 ambient fine particle (PM2.5) samples were collected in Changzhou City from January to August 2016. The concentrations of 17 PM2.5-bound PAHs in the samples were analyzed by GC-MS. Results showed that seasonal average mass concentrations of PAHs in winter, spring, and summer were 140.24, 41.42, and 2.96 ng·m-3, respectively, which indicating that the pollution of PAHs in winter appeared more serious than in the other two seasons, and 4-6-ring high molecular weight PAHs were predominant in all three seasons. The average daily level of BaP was 3.64 ng·m-3 and the days it exceeded the permitted standard accounted for 41% of total days. PAH concentration had significant negative correlations with temperature (correlation coefficient: -0.643) and visibility (correlation coefficient: -0.466), whereas it had good positive correlations with atmospheric pressure (correlation coefficient: 0.544) and poor correlations with wind speed and relative humidity. PAH concentrations were higher at nighttime than at daytime, because of the influences of temperature difference, atmospheric stratification, as well as pollution sources. The results from the air backward trajectory model indicated that PM2.5-bound PAHs in Changzhou were mainly affected by local emission sources and short-distance transportation, whereas the contribution of long-distance transmission was small (only 11%). Based on analysis of characteristic ratios, PAHs were mainly sourced from coal burning, vehicle emissions, and biomass burning. An incremental lifetime cancer risk (ILCR) model was used to evaluate the health impact of PAHs via breathing exposure pathways. Results revealed that the ILCR of adults was higher than that of children. The ILCRs of the group for winter and spring were slightly higher than the risk threshold, but a difference was not obvious for summer.