To explore the effect of emotion management ability on the social anxiety and aggressive behavior among 4 - 6 grade pupils.
The grade four, five and six pupils from Bengbu City were investigated ...using stratified cluster random sampling. The questionnaire contents included general condition, emotion management ability, aggressive behavior and social anxiety, and the relationships of which were analyzed using partial correlation and hierarchical regression method.
The score of aggressive behavior in boys (72. 74 ± 18. 09) was higher than that in girls (66. 31 ± 17. 53) (P < 0. 01), and the aggressive behaviors in grade five students (71. 76 ± 18. 06) were higher than that in grade four (69. 24 ± 18. 95) and six students (68. 40 ± 17. 19) (P <0. 05). When gender and grade variables, the aggressive behaviors were negatively correlated with emotion management ability (r = - 0. 463, P < 0. 01) , and were positively correlated with social anxiety (r = 0. 229, P < 0. 01) , and the emotion management ability was negat
•Direct measurement of ES values to households is absent in the literature.•We estimate ES values through a resource rent approach.•Allows for disaggregated ecosystem services flows to household ...wellbeing.•We analyze 1749 households in northern China.•Results show vulnerable households depend more on ES.
The direct links between ecosystem services and households’ well-being have long been discussed, but documentation remains sparse. This paper outlines a practical method for estimating the value of ecosystem services as they contribute to household livelihoods in rural regions. Measuring these links at the household level enables disaggregated assessment of how ecosystem services relate to household wellbeing. To demonstrate the method, we use a unique dataset of 1749 households in northern China to show how livelihoods depend on ecosystem services, focusing on the ecosystem contributions to goods they sell or consume. We disaggregate the household-level value of ecosystem services across locations and to various beneficiary groups, which shows substantial variation in dependency on different types of services. These results have practical implications for land management strategies by safeguarding the most critical ecosystems and targeting management goals for beneficiaries. Organizations can use these methods to better inform policy design and understand who will win and lose from proposed programs.
•A compact magnetic actuation system utilizes the rotation of a permanent magnet to steer a small-size continuum robot.•An efficient inverse kinematic modeling method for the continuum robot ...establishes a relationship between the deflection angle of the continuum robot and the rotation angle of the driving magnet.•A control strategy for the magnetic continuum robot within the vessel is proposed, and by applying this strategy, our magnetic actuation system can successfully guide the continuum robot to reach all the goals in the phantom experiment.
In recent years, there has been a growing application of robotic-assisted magnetic actuation systems in the treatment of cardiovascular diseases because of the fast response and the miniaturization of medical tools. However, inverse kinematic (IK) modeling in permanent magnet systems is still a challenging task due to the complexity of the magneto-solid strong coupling field. In this paper, we present a magnetic actuation system that uses the rotation of a single permanent magnet to steer the intravascular catheter. The main contribution is the proposal of an IK modeling method that establishes a relationship between the catheter's deflection angle and the rotation angle of the driving magnet (DM). Our proposed method uses the constant curvature model (CCM) to decouple the catheter's deformation and the magnetic loads, thus enabling the efficient estimation of the position of the catheter's tip based on the desired deflection angle. After establishing the equilibrium equation, we employ a numerical computation method to optimize the rotation angle of the DM. To facilitate fast convergence, we propose an analytical solution to determine the optimal initial value. Our proposed IK modeling method has been proven to be effective in the model validation experiment, which achieves a good balance between accuracy and efficiency. The difference between the planned and actual deflection angle is 4.55±3.44° and the distal position error is 1.26±0.74 mm. The completion time of our IK method is 1–4 ms. The performance of our magnetic actuation system has been evaluated in the phantom experiment, in which the catheter can pass sequentially through the planned bifurcations and finally reach all the goals under the magnetic guidance.
Sustainable agricultural development, which aims to optimize income and minimize resource consumption and environmental impacts, is strongly influenced by farming resource endowments and agricultural ...livelihood strategies. However, quantifying the impacts of these factors on agricultural sustainability remains a challenge. Here, we proposed a framework that incorporated the agricultural food–energy–water (FEW) nexus into a sustainable livelihood framework, to explore agricultural sustainability. We then applied a partial least squares–structural equation model (PLS-SEM), based on household survey data from MiYun Reservoir watershed, China, to identify the complex pathways of the impact of household farming resource endowments and livelihood diversification on agricultural sustainability. Our study indicated that diversified farming achieved a better performance in the FEW nexus via the mediating factor of farming inputs (β = 0.335, p < 0.01). Meanwhile, diversified farming had positive effects on economic profits and environmental sustainability (β = 0.531, p < 0.01). Increasing farming resource endowments also had a better performance in the FEW nexus (β = 0.211, p < 0.01); however, that may lead to economic and environmental costs (β = −0.445, p < 0.01). The framework can be used to identify the relationship between household livelihoods and the FEW nexus to better achieve resource security and sustainable development goals.
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•Resource endowments and livelihood diversification impact agro-sustainability.•Sustainability can be quantified by food–energy–water (FEW) nexus approach.•New framework incorporates the FEW nexus into a sustainable livelihood framework.•The framework quantified resource endowments and farming diversification impacts.•Diversified farming improves agro-sustainability by strengthening the FEW nexus.
BACKGROUND AND PURPOSE:Intracranial atherosclerosis is one of the main causes of stroke, and high-resolution magnetic resonance imaging provides useful imaging biomarkers related to the risk of ...ischemic events. This study aims to evaluate differences in histogram features between culprit and nonculprit intracranial atherosclerosis using high-resolution magnetic resonance imaging.
METHODS:Two hundred forty-seven patients with intracranial atherosclerosis who underwent high-resolution magnetic resonance imaging sequentially between January 2015 and December 2016 were recruited. Quantitative features, including stenosis, plaque burden, minimum luminal area, intraplaque hemorrhage, enhancement ratio, and dispersion of signal intensity (coefficient of variation), were analyzed based on T2-, T1-, and contrast-enhanced T1-weighted images. Step-wise regression analysis was used to identify key determinates differentiating culprit and nonculprit plaques and to calculate the odds ratios (ORs) with 95% CIs.
RESULTS:In total, 190 plaques were identified, of which 88 plaques (37 culprit and 51 nonculprit) were located in the middle cerebral artery and 102 (57 culprit and 45 nonculprit) in the basilar artery. Nearly 90% of culprit lesions had a degree of luminal stenosis of <70%. Multiple logistic regression analyses showed that intraplaque hemorrhage (OR, 16.294 95% CI, 1.043–254.632; P=0.047), minimum luminal area (OR, 1.468 95% CI, 1.032–2.087; P=0.033), and coefficient of variation (OR, 13.425 95% CI, 3.987–45.204; P<0.001) were 3 significant features in defining culprit plaques in middle cerebral artery. The enhancement ratio (OR, 9.476 95% CI, 1.256–71.464; P=0.029), intraplaque hemorrhage (OR, 2.847 95% CI, 0.971–10.203; P=0.046), and coefficient of variation (OR, 10.068 95% CI, 2.820–21.343; P<0.001) were significantly associated with plaque type in basilar artery. Coefficient of variation was a strong independent predictor in defining plaque type for both middle cerebral artery and basilar artery with sensitivity, specificity, and accuracy being 0.79, 0.80, and 0.80, respectively.
CONCLUSIONS:Features characterized by high-resolution magnetic resonance imaging provided complementary values over luminal stenosis in defined lesion type for intracranial atherosclerosis; the dispersion of signal intensity in histogram analysis was a particularly effective predictive parameter.
To explore the relationship of crocidolite pollution in drinking water with the risk of gastrointestinal cancer's death in Dayao County.
A 1:2 matched case-control study involving 54 death cases of ...gastrointestinal cancer from a population-based cohort of twenty-seven years and 108 controls matched by age, gender, death time, etc was conducted to analyze the effect of local water condition on the risk of gastrointestinal cancer in Dayao County.
Results from logistic regression analysis suggested the longer of asbestos furnace use over time, the higher the mortality risk of gastrointestinal cancer (6 - 10 years: OR = 2.920, 95% CI 1.501 - 5.604. 11 - 15 years: OR = 3.966, 95% CI 2.156 -7.950. Over 15 years: OR = 4.122, 95% CI 1.211 - 7. 584). Drinking unboiled water leaded to an increased risk of gastrointestinal cancer (OR = 1.43, 95% CI 1.07 - 1.88). Type of drinking water was associated with gastrointestinal cancer. When compared with drinking tap water, OR for drinking well water was 1.770 (95% CI 1.001 -
Percutaneous coronary intervention is widely applied for the treatment of coronary artery disease under the guidance of X-ray coronary angiography (XCA) image. However, the projective nature of XCA ...causes the loss of 3D structural information, which hinders the intervention. This issue can be addressed by the deformable 3D/2D coronary artery registration technique, which fuses the pre-operative computed tomography angiography volume with the intra-operative XCA image. In this study, we propose a deep learning-based neural network for this task. The registration is conducted in a segment-by-segment manner. For each vessel segment pair, the centerlines that preserve topological information are decomposed into an origin tensor and a spherical coordinate shape tensor as network input through independent branches. Features of different modalities are fused and processed for predicting angular deflections, which is a special type of deformation field implying motion and length preservation constraints for vessel segments. The proposed method achieves an average error of 1.13 mm on the clinical dataset, which shows the potential to be applied in clinical practice.
A considerable amount of studies have been published with the results of clinical benefit from his bundle pacing (HBP) for chronic heart failure (CHF) patients and these researches led a uncertain ...conclusion for clinics. Thus, we will conduct a meta-analysis to evaluate the effect of his bundle pacing therapy for chronic heart failure.
Pubmed, EMBASE, the Cochrane Library, Web of Science and Chinese online databases including Chinese National Knowledge Infrastructure, China Biology Medicine disc, Chinese Scientifific Journals Database (VIP), and Wanfang Database will be searched from these databases construction to the end of November, 2020. The STATA 13.0 will be used for data synthesis and meta-analysis.
The outcome measures included QRS duration, left ventricular ejection fraction, pacing threshold, New York Heart Association (NYHA), left ventricular end-diastolic diameter, left ventricular end-systolic diameter, mitral regurgitation, tricuspid regurgitation, and BNP will be analyzed and synthesized.
This meta-analysis will evaluate the effect of his bundle pacing therapy for chronic heart failure.
INPLASY202110109.
Accumulating studies have suggested an important role of environmental factors (e.g. air pollutants) on the occurrence and development of coronavirus disease 2019 (COVID-19). Evidence concerning the ...relationship of greenness on COVID-19 is still limited. This study aimed to assess the association between greenness and COVID-19 incidence in 266 Chinese cities. A total of 12,377 confirmed COVID-19 cases were identified through February 29th, 2020. We used the average normalized difference vegetation index (NDVI) during January and February 2020 from MOD13A2 product, to represent the city-level greenness exposure. A generalized linear mixed-effects model was used to estimate the association between NDVI exposure and COVID-19 incidence using COVID-19 cases as the outcome. We evaluated whether the association was modified by population density, GDP per capita, and urbanization rate, and was mediated by air pollutants. We also performed a series of sensitivity analyses to discuss the robustness of our results. Per 0.1 unit increment in NDVI was negatively associated with COVID-19 incidence (IRR: 0.921, 95% CI: 0.898, 0.944) after adjustment for confounders. Associations with COVID-19 incidence were stronger in cities with lower population density, lower GDP per capita, and lower urbanization rate. We failed to detect any mediation effect of air pollutants on the association between NDVI and COVID-19 incidence. Sensitivity analyses also indicated consistent estimates. In conclusion, our study suggested a beneficial association between city-level greenness and COVID-19 incidence. We could not establish which mechanisms may explain this relationship.
•The study is the first to discuss the association of NDVI with COVID-19 incidence in 266 Chinese cities.•NDVI exposure was negatively associated with COVID-19 incidence.•Stronger protective effect was observed in cities with lower population density.•Stronger protective effect was observed in cities with lower GDP per capita.•Stronger protective effect was observed in cities with lower urbanization rate.
Evidence is scant on the relative and attributable contributions of ambient temperature on stroke subtypes mortality. Few studies have examined modification effects of multiple greenness indicators ...on such contributions, especially in China. We quantified the associations between ambient temperature and overall, ischemic, and hemorrhagic stroke mortality; further examined whether the associations were modified by greenness.
We conducted a multicenter time-series analysis from January 1, 2013 to December 31, 2019. we adopted a distributed lag non-linear model to evaluate county-specific temperature-stroke mortality associations. We then applied a random-effects meta-analysis to pool county-specific effects. Attributable mortality was calculated for cold and heat, defined as temperatures below and above the minimum mortality temperature (MMT). Finally, We conducted a multivariate meta-regression to determine associations between greenness and stroke mortality risks for cold and heat, using normalized difference vegetation index (NDVI), soil adjusted vegetation index (SAVI), and enhanced vegetation index (EVI) as quantitative indicators of greenness exposure.
In the study period, 138,749 deaths from total stroke were reported: 86,873 ischemic and 51,876 hemorrhagic stroke. We observed significant W-shaped relationships between temperature and stroke mortality, with substantial differences among counties and regions. With MMT as the temperature threshold, 17.16 % (95 % empirical CI, 13.38 %–19.75 %) of overall, 20.05 % (95 % eCI, 16.46 %–22.70 %) of ischemic, and 12.55 % (95 % eCI, 5.59 %–16.24 %) of hemorrhagic stroke mortality were attributable to non-optimum temperature (combining cold and heat), more mortality was caused by cold (14.94 %; 95 % eCI, 11.57 %–17.34 %) than by heat (2.22 %; 95 % eCI, 1.54 %–2.72 %). Higher levels of NDVI, SAVI and EVI were related to mitigated effects of non-optimum temperatures—especially heat.
Exposure to non-optimum temperatures aggravated stroke mortality risks; increasing greenness could alleviate that risks. This evidence has important implications for local communities in developing adaptive strategies to minimize the health consequences of adverse temperatures.
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•Moderate and extreme temperatures cause substantial stroke subtypes death burdens.•Ischemic stroke mortality is more attributable to cold than Hemorrhagic stroke.•The higher the latitude, the less adaptable to heat based on multicenter findings.•Greenness alleviate stroke mortality risks from heat using NDVI, SAVI, EVI as exposures.
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