Browsing by Author "Chen, Yang"
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Item Open Access El Niño and health risks from landscape fire emissions in Southeast Asia.(Nat Clim Chang, 2013) Marlier, Miriam E; DeFries, Ruth S; Voulgarakis, Apostolos; Kinney, Patrick L; Randerson, James T; Shindell, Drew T; Chen, Yang; Faluvegi, GregEmissions from landscape fires affect both climate and air quality(1). In this study, we combine satellite-derived fire estimates and atmospheric modeling to quantify health effects from fire emissions in Southeast Asia from 1997 to 2006. This region has large interannual variability in fire activity due to coupling between El Niño-induced droughts and anthropogenic land use change(2,3). We show that during strong El Niño years, fires contribute up to 200 μg/m(3) and 50 ppb in annual average fine particulate matter (PM2.5) and ozone (O3) surface concentrations near fire sources, respectively. This corresponds to a fire contribution of 200 additional days per year that exceed the World Health Organization (WHO) 50 μg/m(3) 24-hour PM2.5 interim target (IT-2)(4) and an estimated 10,800 (6,800-14,300) person (~2%) annual increase in regional adult cardiovascular mortality. Our results indicate that reducing regional deforestation and degradation fires would improve public health along with widely established benefits from reducing carbon emissions, preserving biodiversity, and maintaining ecosystem services.Item Open Access Evaluation of the Implementation and its Influencing Factors of Public Health Services in Kunshan Community Health Center, Jiangsu Province(2024) Chen, YangBackground: In China, the government is attempting to establish a health care system primarily focused on primary health care to address the issue of uneven distribution of domestic medical resources. Community health centers widely present in various regions are the main providers of primary healthcare in the community. The public health service capacity of community health centers is one of the important indicators for evaluating their service quality. At present, the evaluation of it in China mainly relies on the selection of evaluation indicators that focus on the macro level, but the content is not detailed enough to reflect its ability in a practical and specific way. Methods: This study selected a government managed community in the urban and suburban areas of Kunshan City, and conducted a questionnaire survey on 432 community residents using the satisfaction of family doctor services, residents' willingness to seek medical treatment, and SERVQUAL scale to evaluate the public health service capacity of community health centers. At the same time, perform t-test analysis on the data results to test whether there are differences in the distribution of the results. Finally, regression analysis was conducted using potential influencing factors as independent variables to further explore the impact of these influencing factors on the evaluation process of public health service capabilities in community health centers. Results: Among all participants, 387 had an education level of junior high school or below, accounting for 89.58%, and 46.99% of the household population consisted of 2 people. The monthly income of participants is mainly concentrated between 1001-3000 yuan and 3001-5000 yuan, with 202 and 191 people respectively, accounting for 46.76% and 44.21%. At the same time, the majority of participants were those who did not drink at all and drank every day, with 182 and 119 people respectively, accounting for 42.13% and 27.55%. In Tinglin Community, the proportion of residents aged 65-74 is 70%, the proportion of residents aged 75-93 is 30%, and the gender ratio is 41:59. In Jinxi Community, the proportion of residents aged 65-74 is 55%, the proportion of residents aged 75-93 is 45%, and the ratio of males to females is 52:48. The median scores of the two communities in terms of satisfaction with family doctor services are 6 and 5, respectively, with mean values of 4.16 and 3.81. In terms of willingness to seek medical treatment in community health centers, the median scores of residents in both communities are 27, while the mean scores of residents in Jinxi and Tinglin communities are 28.88 and 23.91, respectively. For the five dimensions of the SERVQUAL scale, the overall median scores for tangibility, reliability, responsiveness, guarantee, and cost acceptability are 21, 12, 6, 18, and 6, respectively; The overall mean scores are 17.94, 11.17, 5.54, 16.85, and 5.63, respectively. Through linear regression analysis, it can be concluded that seven variables, including the number of family members, frequency of alcohol consumption, prevalence of chronic diseases, monthly income, exercise frequency, reimbursement methods for medical expenses, and self-assessment of health status, have an impact on the process of evaluating community service capabilities. The goodness-of-fit of linear regression models are generally strong. Conclusions: Compared with residents in Jinxi Community, residents in Tinglin Community have a younger age structure, higher overall education level, a higher proportion of women, a larger household size, higher monthly income levels, and less frequent drinking. At the same time, the willingness of residents from both communities to seek medical treatment at community health centers is not strong. In terms of family doctor services, both community health centers have good service quality, but their coverage needs to be expanded. At the same time, the public health service capacity of Jinxi Community Health Center is stronger than that of Tinglin Community. Factors such as a large number of household members, frequent drinking, exercise, and multiple chronic diseases can make community residents more passive in evaluating the public health service capabilities of community health centers. When the self-assessment of health status is poor, residents often make a more positive evaluation of the public health service capacity of their community health center. The monthly income and medical expense reimbursement methods have different impacts in the two communities.
Item Open Access Evaluation of the Pricing of Pollutant Emissions Allowance in Zhejiang Province, China(2024-04-26) Chen, Yang; Jin, Xinwei; Zhou, ZiliOver the past few decades, the pollutant emissions trading policies in China have undergone significant innovation and exploration. It is considered a market-based approach integrated with command-and-control mechanisms such as total emissions control or pollutant emissions allowance. This study is the first to provide systematic, reflective thinking that examines China's regional initiatives of pollutant emissions trading systems. In this article, we took research on the representative province, Zhejiang, as our case study to analyze the impact of the pricing of pollutant emissions allowance on enterprises’ trading behavior, in which the pollutant objects are mainly selected to focus on chemical oxygen demand (COD), ammonia nitrogen (NH3-N), sulfur dioxide (SO2), and nitrogen oxides (NOX). This paper used a quantitative approach by drawing the error lines of allowance auction and transfers among ten cities in Zhejiang Province from 2020 to 2022; then, we provided policy recommendations by exploring the positive and efficient relationship between emissions trading policies and the price of pollutant emissions allowances.Item Embargo Exploring Non-Visual Cues-Driven Spatial Learning in Drosophila(2024) Chen, YangThe ability to navigate to the memorized goal locations such as food sources and nests is critical for animals to survive in nature. It is well documented that animals can learn to use visual cues as landmarks to infer the goal location. However, whether animals can use non-visual cues for spatial learning and the underlying neural circuit and molecular mechanisms that support non-visual cues-driven spatial learning (NVSL) are not fully understood. In addition to visual cues, animals receive various non-visual inputs during navigation, such as self-motion, olfactory, auditory, and texture cues. Here, using the high-throughput spatial learning task our lab has developed, I show that Drosophila melanogaster can use both olfactory cues and self-movements (i.e., egocentric cues) to learn a spatial goal. In addition, I characterize the underlying circuit mechanisms and begin to elucidate some of its sex-specific differences and potential molecular basis. Specifically, first, when the environment is featureless, flies can deposit odors near the goal location and associate them with the reward at the goal location as well as using egocentric cues to potentially gauge how far – and in which direction - they have moved from the goal location. Such learning is enabled by mushroom bodies (MBs), an olfactory learning center known to associate odors with reinforcers, as well as neurons that signal egocentric translational velocity (i.e., PFN neurons), respectively. Second, when the environment is enriched with salient non-visual landmarks, flies can significantly improve their learning performance. Interestingly, while such improvement still requires the olfactory learning circuit, the reliance on self-motion sensitive neurons decreases. Third, sexual dimorphism and natural variance exist in both the performance level and the reliance on the different behavioral strategies for NVSL. Lastly, transcriptome analysis of flies trained to perform NVSL identified multiple components of the Toll and Imd signaling pathways whose expression in the brain correlates with high NVSL performance. My research is among the pioneering efforts to demonstrate that Drosophila is capable of combining self-generated and external olfactory markers with egocentric signals to master a spatial goal location, showcasing the adaptability and possible molecular basis of their spatial learning capabilities.
Item Open Access Gigapixel imaging with a novel multi-camera array microscope.(eLife, 2022-12) Thomson, Eric E; Harfouche, Mark; Kim, Kanghyun; Konda, Pavan C; Seitz, Catherine W; Cooke, Colin; Xu, Shiqi; Jacobs, Whitney S; Blazing, Robin; Chen, Yang; Sharma, Sunanda; Dunn, Timothy W; Park, Jaehee; Horstmeyer, Roarke W; Naumann, Eva AThe dynamics of living organisms are organized across many spatial scales. However, current cost-effective imaging systems can measure only a subset of these scales at once. We have created a scalable multi-camera array microscope (MCAM) that enables comprehensive high-resolution recording from multiple spatial scales simultaneously, ranging from structures that approach the cellular scale to large-group behavioral dynamics. By collecting data from up to 96 cameras, we computationally generate gigapixel-scale images and movies with a field of view over hundreds of square centimeters at an optical resolution of 18 µm. This allows us to observe the behavior and fine anatomical features of numerous freely moving model organisms on multiple spatial scales, including larval zebrafish, fruit flies, nematodes, carpenter ants, and slime mold. Further, the MCAM architecture allows stereoscopic tracking of the z-position of organisms using the overlapping field of view from adjacent cameras. Overall, by removing the bottlenecks imposed by single-camera image acquisition systems, the MCAM provides a powerful platform for investigating detailed biological features and behavioral processes of small model organisms across a wide range of spatial scales.