Interday Reliability of Upper-limb Geometric MyoPassivity Map for Physical Human-Robot Interaction.

The value of intrinsic energetic behavior of human biomechanics has recently been recognized and exploited in physical human-robot interaction (pHRI). The authors have recently proposed the concept of "Biomechanical Excess of Passivity," based on nonlinear control theory, to construct a user-specific energetic map. The map would assess the behavior of the upper-limb in absorbing the kinesthetic energy when interacting with robots. Integrating such knowledge into the design of pHRI stabilizers can reduce the conservatism of the control by unleashing hidden energy reservoirs indicating a less conservative margin of stability. The outcome would enhance the system's performance, such as rendering kinesthetic transparency of (tele)haptics systems. However, current methods require an offline data-driven identification procedure prior to each operation to estimate the energetic map of human biomechanics. This can be time-consuming and challenge users susceptible to fatigue. In this study, for the first time, we investigate the interday reliability of upper-limb passivity maps in a sample of five healthy subjects. Our statistical analyses indicate that the identified passivity map is highly reliable in estimating the expected energetic behavior based on Intraclass correlation coefficient analysis (conducted on different days and with various interactions). The results illustrate that a one-shot estimate is a reliable measure to be used repeatedly in biomechanics-aware pHRI stabilization, enhancing practicality in real-life scenarios.

Research progress on the epidemiology of pneumonia / 预防医学

@#Pneumonia is a common lower respiratory tract infection, which causes a large disease and economic burden worldwide, and is an important public health problem to be solved urgently. Based on review of publications pertaining to the epidemiology of pneumonia from 2013 to 2023, this article summaries the epidemiological characteristics and main influencing factors of pneumonia. It is found that the epidemiological characteristics of pneumonia vary in different areas; men, the elderly and children are the high-risk groups of pneumonia incidence and mortality; and age, smoking, alcohol consumption, air pollution, comorbidity and vaccination are the main factors affecting the incidence and mortality of pneumonia. Strengthening health education, reducing exposure to risk factors and promoting vaccination are recommended to lower the morbidity and mortality of pneumonia in susceptible populations.

Associations between air pollutant and pneumonia and asthma requiring hospitalization among children aged under 5 years in Ningbo, 2015-2017.

Introduction: Exposure to ambient air pollutants is associated with an increased incidence of respiratory diseases such as pneumonia and asthma, especially in younger children. We investigated the relationship between rates of hospitalization of children aged under 5 years for pneumonia and asthma and the concentration of air pollutants in Ningbo between January 1, 2015 and August 29, 2017. Methods: Data were obtained from the Ningbo Air Quality Data Real-time Publishing System and the big data platform of the Ningbo Health Information Center. A generalized additive model was established via logarithmic link function and utilized to evaluate the effect of pollutant concentration on lag dimension and perform sensitivity analysis. Results: A total of 10,301 cases of pneumonia and 115 cases of asthma were identified over the course of this study. Results revealed that PM2.5, PM10, SO2 and NO2 were significantly associated with hospitalization for pneumonia and asthma in children under 5 years of age. For every 10-unit increase in lag03 air pollutant concentration, hospitalization for pneumonia and asthma due to PM2.5, PM10, SO2 and NO2 increased by 2.22% (95%CI: 0.64%, 3.82%), 1.94% (95%CI: 0.85%, 3.04%), 11.21% (95%CI: 4.70%, 18.10%) and 5.42% (95%CI: 3.07%, 7.82%), respectively. Discussion: Adverse effects of air pollutants were found to be more severe in children aged 1 to 5 years and adverse effects due to PM2.5, PM10 and SO2 were found to be more severe in girls. Our findings underscore the need for implementation of effective public health measures to urgently improve air quality and reduce pediatric hospitalizations due to respiratory illness.

Strong Anisotropy and Bipolar Conduction-Dominated Thermoelectric Transport Properties in the Polycrystalline Topological Phase of ZrTe5.

ZrTe5 has unique features of a temperature-dependent topological electronic structure and anisotropic crystal structure and has obtained intensive attention from the thermoelectric community. This work revealed that the sintered polycrystalline bulk ZrTe5 possesses both (020) and (041) preferred orientations. The transport properties of polycrystalline bulk p-type ZrTe5 exhibits an obvious anisotropic characteristic, that is, the room-temperature resistivity and thermal conductivity, possessing anisotropy ratios of 0.71 and 1.49 perpendicular and parallel to the pressing direction, respectively. The polycrystalline ZrTe5 obtained higher ZT values in the direction perpendicular to the pressing direction, as compared to that in the other direction. The highest ZT value of 0.11 is achieved at 350 K. Depending on the temperature-dependent topological electronic structure, the electronic transport of p-type ZrTe5 is dominated by high-mobility electrons from linear bands and low-mobility holes from the valence band, which, however, are merely influenced by valence band holes at around room temperature. Furthermore, external magnetic fields are detrimental to thermoelectric properties of our ZrTe5, mainly arising from the more prominent negative effects of electrons under fields. This research is instructive to understand the transport features of ZrTe5 and paves the way for further optimizing their ZTs.

A factor-based bottom-up approach for the long-term electricity consumption estimation in the Japanese residential sector.

Recent years, the energy consumption and carbon emissions released from the residential sector have increased rapidly due to the improvement of living standards. Japan, as one of the most developed countries worldwide, is found to be the fourth largest CO2 emitter in the world. Meanwhile, Japan is currently promoting social electrification from varied aspects. And this action further brings the household residential consumption to the vital place for overall energy conservation and emission reduction plans. Although electricity consumption and prediction analysis have been widely discussed. However, previous studies mainly focused on the estimation and analysis of energy consumption at the national level, without enough discussion from prefecture-level insights. To bridge this knowledge gap, this study established a factor-based bottom-up model to estimate the electricity consumption and carbon emissions during the 2015-2040 periods in the Japanese residential sector, considering the prefectural characteristics including per capita gross domestic product, population size, household size, residential floor space area, lifestyle, weather condition, and transition effect of appliance in the future. Nine scenarios that combine three levels of household size and three levels of growth of per capita gross domestic product are taken into account to estimate the electricity consumption for space heating and cooling, water heating, cooking, and appliances. Results indicate that the total residential electricity consumption will reach a peak during 2020s. The total carbon emissions will keep decreasing by 51.14-72.16 Mt between 2015 and 2040. Based on the results of this paper, policy recommendations are given for the Japanese government.