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Animal welfare plays the importance role in protecting the ecological environment, developing the animal industry, and regulating the human-animal relationship and maintaining the balance of species and ecosystems. Unfortunately, captive animals often suffer from poor welfare due to their long-term confinement in small and narrow environment, resulting in depressive and stereotyped behaviors such as repetitive running or pacing. Early detection and intervention of these behaviors contribute to improve the captive animal welfare. However, the traditional methods on manually observing and analyzing animal behaviors are labor-intensive and require specialized personnel. In recent years, many zoos and animal reserves are equipped with video surveillance systems, which can be conveniently used for animal behaviour analysis, but most research on the animal behaviour is reported for domestic animal. In this paper, we propose the novel method utilizing the videos from surveillance systems to automatically track and recognize animals’ stereotyped behaviors. Our approach employs a novel target tracking method based on Siamese relation network, which can accurately track target animals in complex environments and distinguish different individuals. We then identify the stereotyped behaviors by counting the cycle number that an animal repeats similar motion trajectories, such as repeatedly running around a similar circular trajectory. The experiments are conducted on the video datasets including three kinds of moving trajectories. The experimental results show that can accurately detect the cycle number of the repeated trajectories to recognized wild animal stereotypes.

As an important class of chemosensory-associated proteins, odorant binding proteins (OBPs) play a key role in the perception of olfactory signals for insects. Parasitoid wasp Microplitis mediator relies on its sensitive olfactory system to locate host larvae of Noctuidae and Geometridae. In the present study, MmedOBP14, a male-biased OBP in M. mediator, was functionally investigated. In fluorescence competitive binding assays, the recombinant MmedOBP14 showed strong binding abilities to five plant volatiles: β-ionone, 3,4-dimethylacetophenone, 4-ethylacetophenone, acetophenone and ocimene. Homology modeling and molecular docking results indicated that the binding sites of all five ligands were similar and concentrated in the binding pocket of MmedOBP14. Except acetophenone, the remaining four ligands at 1, 10 and 100 μg/μL caused strong antennal electrophysiological responses in adults M. mediator, and males showed more obvious EAG responses to most ligands than females. In behavioral trials, males were attracted by low concentrations of MmedOBP14 ligands, whereas high doses of β-ionone and acetophenone had a repellent effect on males. Moreover, 1 μg/μL of 3,4-dimethylacetophenone showed the strongest attractiveness to female wasps. These findings suggest that MmedOBP14 may play a more important role in the perception of plant volatiles for male wasps to locate habitat, supplement nutrition and search partners.

BACKGROUND: Indoor environment is complex, with many factors potentially interacting with each other to affect health. However, previous studies have usually focused on effect of a single factor. Assessment of the combined effects of multiple factors can help with understanding the overall health risk. METHODS: A cross-sectional study was conducted among 2,306 school children in Guangzhou and Shenzhen. Questionnaire data on respiratory symptoms and diseases were collected along with sociodemographic and residential environmental information. A subset of children (N=987) were measured for their lung function. A random forest algorithm was applied to screen the top-ranked indoor environmental exposure variables and to form a composite index for cumulative risk of indoor pollution (CRIP). Logistic regressions were conducted to analyze the independent effect of single indoor environmental risk factors and the combined effect of CRIP on children’s respiratory health. Multiple linear regressions were used to examine the independent and combined effects of indoor environmental exposure on lung function. RESULTS: We found that home dampness and molds as well as environmental tobacco smoke (ETS) were significantly and independently associated with increased prevalence of children’s respiratory symptoms and diseases and with reduced lung function. A higher CRIP level was significantly associated with increased risk of cough with cold (OR =1.37, 95% CI: 1.05–1.79) and wheeze (OR =2.71, 95% CI: 1.16–6.34). A higher CRIP level was also associated with reduced lung function measured as FVC, FEV(1), PEF, FEF(25%), FEF(25–75%) and VC. CONCLUSIONS: In children living in the subtropical region of the Pearl River Delta, home dampness and the presence of mold as well as ETS were individual risk factors for children’s respiratory health. The composite CRIP index was associated with respiratory symptoms and lung function, suggesting the utility of this index for predicting the combined effects of multiple risk factors.

An in-depth analysis of the specific evolution of air pollution in a given city can provide a better understanding of the chronic effects of air pollution on human health. In this study, we reported trends in ambient concentrations of particulate matter (PM) and gaseous pollutants [sulfur dioxide (SO2), nitrogen dioxide (NO2), and ozone (O3)] from 1995 to 2017 and PM2.5 composition for the period of 2000-2017 in Guangzhou, Wuhan, Chongqing, and Lanzhou. We provided socio-economic indicators to help explain the pollution trends. SO2 and PM (including PM10 and PM2.5) concentrations showed a downward trend in recent years with the most notable reduction in SO2 in Chongqing and PM2.5 in Guangzhou. There was an overall flat trend for NO2, while O3 showed an upward trend in recent years except in Lanzhou. The majority of PM2.5 mass was SO4 2- (6.0-30 µg/m3) and organic carbon (6.0-38 µg/m3), followed by NO3 - (2.0-12 µg/m3), elemental carbon (2.1-12 µg/m3), NH4 + (1.0-10 µg/m3), K+ (0.2-2.0 µg/m3), and Cl- (0.2-1.9 µg/m3). Except for secondary inorganic aerosols in Wuhan, annual average concentrations of all PM2.5 constituents showed a declining trend after 2013, corresponding to the trend of PM2.5. The secondary sources in PM2.5 were found to be most prominent in Wuhan, while the most abundant EC and Cl- in Lanzhou was attributed to the use of coal. Despite temporal and spatial variabilities across the four cities, coal combustion, traffic emissions, and secondary pollution have been the major sources of PM2.5 pollution. These trends in ambient air pollution levels and PM2.5 composition may help understand changes in health outcomes measured at different times within the time period of 1995-2017 in the four cities.

BACKGROUND: The sustained high prevalence of smoking in China has contributed substantially to the burden of chronic diseases, including respiratory diseases. This study compared the prevalence of smoking and respiratory diseases in Chinese adults between two time periods spanning over 25 years. METHODS: Cross-sectional surveys were performed in four Chinese cities of Chongqing, Lanzhou, Wuhan, and Guangzhou in 1993–1996 (Period 1) and in 2017–2018 (Period 2). Participants completed questionnaires asking smoking status, the presence of asthma and chronic bronchitis, education attainment and household characteristics. Logistic regression models were used to estimate the odds ratios of disease prevalence with regard to active smoking status for men and passive smoking status for women. RESULTS: Prevalence of asthma, prevalence of chronic bronchitis, and smoking rate, all decreased from Period 1 to Period 2. We observed strong evidence that active smoking increased prevalence for both asthma and chronic bronchitis in men during Period 1, with spatial heterogeneity and modifying effect by college-level education. Home exposure to passive smoking was associated with increased odds of having chronic bronchitis among female participants in Chongqing during Period 2, although the association was not statistically significant. CONCLUSIONS: The prevalence for asthma and chronic bronchitis were lower in 2017–2018 compared to 25 years ago in the same four Chinese cities. Decreased smoking rate may have contribution to the improvement of these respiratory diseases. Male smokers, especially those without college-level education, showed higher prevalence of chronic bronchitis compared to nonsmokers during Period 1.

Oxygenated volatile organic compounds (OVOCs) are key intermediates in the atmospheric photooxidation process. To further study the primary and secondary sources of OVOCs, their ambient levels were monitored using a proton-transfer reaction mass spectrometer (PTR-MS) at an urban site in the Pearl River Delta of China. Continuous monitoring campaigns were conducted in the spring, summer, fall, and winter of 2016. Among the six types of OVOC species, the mean concentrations of methanol were the highest in each season (up to 13–20 ppbv), followed by those of acetone, acetaldehyde and acetic acid (approximately 2–4 ppbv), while those of formic acid and methyl ethyl ketone (MEK) were the lowest (approximately 1–2 ppbv). As observed from a diurnal variation chart, the OVOCs observed in Shenzhen may have been affected by numerous factors such as their primary and secondary sources and photochemical consumption. The photochemical age-based parameterization method was used to apportion the sources of ambient OVOCs. Methanol had significant anthropogenic primary sources but negligible anthropogenic secondary sources during all of the seasons. Acetone, MEK and acetic acid were mostly attributed to anthropogenic primary sources during each season with smaller contributions from anthropogenic secondary sources. Acetaldehyde had similar contributions from both anthropogenic secondary and anthropogenic primary sources throughout the year. Meanwhile, anthropogenic primary sources contributed the most to formic acid.

An in-depth analysis of the specific evolution of air pollution in a given city can provide a better understanding of the chronic effects of air pollution on human health. In this study, we reported trends in ambient concentrations of particulate matter (PM) and gaseous pollutants [sulfur dioxide (SO(2)), nitrogen dioxide (NO(2)), and ozone (O(3))] from 1995 to 2017 and PM(2.5) composition for the period of 2000–2017 in Guangzhou, Wuhan, Chongqing, and Lanzhou. We provided socio-economic indicators to help explain the pollution trends. SO(2) and PM (including PM(10) and PM(2.5)) concentrations showed a downward trend in recent years with the most notable reduction in SO(2) in Chongqing and PM(2.5) in Guangzhou. There was an overall flat trend for NO(2), while O(3) showed an upward trend in recent years except in Lanzhou. The majority of PM(2.5) mass was SO(4)(2−) (6.0–30 µg/m(3)) and organic carbon (6.0–38 µg/m(3)), followed by NO(3)(−) (2.0–12 µg/m(3)), elemental carbon (2.1–12 µg/m(3)), NH(4)(+) (1.0–10 µg/m(3)), K(+) (0.2–2.0 µg/m(3)), and Cl(−) (0.2–1.9 µg/m(3)). Except for secondary inorganic aerosols in Wuhan, annual average concentrations of all PM(2.5) constituents showed a declining trend after 2013, corresponding to the trend of PM(2.5). The secondary sources in PM(2.5) were found to be most prominent in Wuhan, while the most abundant EC and Cl(−) in Lanzhou was attributed to the use of coal. Despite temporal and spatial variabilities across the four cities, coal combustion, traffic emissions, and secondary pollution have been the major sources of PM(2.5) pollution. These trends in ambient air pollution levels and PM(2.5) composition may help understand changes in health outcomes measured at different times within the time period of 1995–2017 in the four cities.

Spectral similarity comparison through tandem mass spectrometry (MS²) is a powerful approach to annotate known and unknown metabolic features in mass spectrometry (MS)-based untargeted metabolomics. In this work, we proposed the concept of hypothetical neutral loss (HNL), which is the mass difference between a pair of fragment ions in a MS² spectrum. We demonstrated that HNL values contain core structural information that can be used to accurately assess the structural similarity between two MS² spectra. We then developed the Core Structure-based Search (CSS) algorithm based on HNL values. CSS was validated with sets of hundreds of randomly selected metabolites and their reference MS² spectra, showing significantly improved correlation between spectral and structural similarities. Compared to state-of-the-art spectral similarity algorithms, CSS generates better ranking of structurally relevant chemicals among false positives. Combining CSS, HNL library, and biotransformation database, we further developed Metabolite core structure-based Search (McSearch), a novel computational solution to facilitate the annotation of unknown metabolites using the reference MS² spectra of their structural analogs. McSearch generates better results in the Critical Assessment of Small Molecule Identification (CASMI) 2017 data set than conventional unknown feature annotation programs. McSearch was also tested in experimental MS² data of xenobiotic metabolite derivatives belonging to three different metabolic pathways. Our results confirmed that McSearch can better capture the underlying structural similarity between MS² spectra. Overall, this work provides a novel direction for metabolite annotation via HNL values, paving the way for annotating metabolites using their structurally similar compounds. This study was funded by the University of British Columbia Start-Up Grant, Canada Foundation for Innovation, BC Knowledge Development Fund, UBC Support for Teams to Advance Interdisciplinary Research Award, and National Science and Engineering Research Council Discovery Grant.

BACKGROUND: Over the past decades, both ambient and household air pollution have changed in several aspects, including the emission sources and the concentrations of pollutants, in many Chinese cities. It is unknown whether these changes are associated with changes in health conditions, especially given changes in other factors due to rapid economic growth. METHODS: Two cross-sectional surveys were conducted in two periods spanning more than twenty years (1993–1996 vs. 2017–2018) in four Chinese cities of Chongqing, Wuhan, Lanzhou, and Guangzhou. Data were collected regarding adults’ respiratory disease, smoking status, education, occupation, and household characteristics. Ambient air pollution data were obtained for each study. We first used logistic regression models to construct the district-specific adjusted disease prevalences. In the second stage, first-difference regression models were employed to examine whether the change in respiratory diseases prevalences was associated with the change in outdoor air pollution and indoor air pollution surrogates. RESULTS: A total of 7,557 and 9,974 households were participating in Period 1 (1993–1996) and Period 2 (2017–2018), respectively. Compared to Period 1, we found substantial reductions in the ambient air pollution concentrations, and a suggestive improvement in cooking-related indoor air pollution in Period 2. We observed decreases in the district-specific covariate-adjusted prevalences of both asthma and chronic bronchitis among participants, with an average reduction of 3.6% (range: 0.0% to 24.3%). From Period 1 to Period 2, one percent decrease in the proportion of cooking with coal was associated with a 19.0% (95% CI, 0.96–37.04%) decrease in the prevalence of males’ chronic bronchitis and a 1.86% (0.69–3.04%) increase in the prevalence of females’ asthma. Little evidence was observed regarding the potential health benefits associated with the decreases in ambient air pollution levels. CONCLUSIONS: The substantial reduction in household use of coal for cooking might be an important contributor to the decrease in adults’ respiratory disease prevalence from 1993–1996 to 2017–2019 in four Chinese cities. Changes in this indoor air pollution source, along with other risk factors for respiratory diseases, may have masked respiratory health benefits associated with reductions in outdoor air pollution levels.

The data comprises 60 regions of interest (ROIs) from V1, V2, and V3 of the human visual cortex. Preprocessed data from the Human Connectome Project (HCP) 900 subjects public data release were utilized: 220 subjects were randomly selected, each with 4 scans of resting state fMRI data. Given that these subjects did not have retinotopy scans performed, the visual areas were defined using an anatomical template from Benson et al. (2014). Visual areas from each hemisphere were further divided along dorsal-ventral lines into quadrants, resulting in 4 quadrants per subject. Within each quadrant, fine scaled ROIs were defined by subdividing each visual area into 5 regions according to eccentricity. These data may be useful for studying retinotopically organized functional connectivity in the visual cortex using the HCP 3 Tesla dataset.

After one decade of analyzing the intrinsic properties of graphene, interest into the development of graphene-based devices and micro electromechanical systems is increasing. Here, we fabricate graphene-coated atomic force microscope tips by growing the graphene on copper foil and transferring it onto the apex of a commercially available AFM tip. The resulting tip exhibits surprising enhanced resolution in nanoscale electrical measurements. By means of topographic AFM maps and statistical analyses we determine that this superior performance may be related to the presence of a nanogap between the graphene and the tip apex, which reduces the tip radius and tip–sample contact area. In addition, the graphene-coated tips show a low tip–sample interaction, high conductivity and long life times. The novel fabrication-friendly tip could improve the quality and reliability of AFM experiments, while reducing the cost of AFM-based research.