The first specific probe for pyrrolidine with multifunction by the interaction mechanism of atomic economic reaction.

Pyrrolidine (PyD) has an important impact on the environment and human health. However, there is currently no method for trace detection of PyD. Here, we successfully designed diaminomethylene-4H-pyran (1) as the first specific fluorescent probe for PyD. Only by adding PyD to probe 1, there is blue fluorescence at 455 nm, and the color of the solution changes from colorless to yellow. The detection limit is 1.12 × 10-6 M, and the response time is less than 5 min. Meanwhile, probe 1 can also sense the gaseous PyD and detect PyD in actual water samples. Moreover, due to the low biological toxicity, probe 1 can detect the exogenous PyD in zebrafish. The preliminary mechanism shows that probe 1 and PyD undergo a combination-type chemical reaction to generate a new substance 1-PyD. Therefore, the 100% atom utilization reaction enables probe 1 to exhibit specific adsorption and removal of PyD.

Spatial effect of biomass energy consumption on carbon emissions reduction: the role of globalization.

As globalization proceeds, increasing biomass energy consumption is an important pathway to replace fossil fuels for tackling climate change by reducing emissions. This study explores the spatial spillover effect in biomass energy carbon reduction, which is frequently ignored when investigating environmental factors. It uncovers whether globalization and its dimensions can strengthen the spatial effect of biomass energy carbon reduction. Besides, we reveal whether biomass energy consumption can promote CO2 emissions reduction while ensuring economic progress. Results show that (1) owing to the spillover effect, biomass energy consumption plays a significant role in direct and indirect enhancing carbon emissions reduction, with their feedback effects of - 0.003 or 3.3% of the direct effect. (2) Increasing overall, social and political globalization enhances biomass energy consumption's carbon reduction effect. (3) In countries with higher economic development, overall, economic and political globalization has a better promotion in the spatial effect of biomass energy carbon reduction. (4) Developing biomass energy can support the environment quality while enhancing economic growth.

Trace water in a BF3·OEt2 system: a facile access to sulfinyl alkenylsulfones from alkynes and sodium sulfinates.

A highly efficient and operationally simple method for the synthesis of ß-sulfinyl alkenylsulfones through a BF3·OEt2-promoted reaction of alkynes and sodium sulfinates is developed, successfully avoiding the complicated anhydrous treatment before the reaction and greatly simplifying the reaction conditions. As a facile and selective route to the targets, it features good functional group compatibility, mild conditions, easily available starting materials, and excellent yields. Notably, the trace water in solvent plays a key role in promoting the reaction, which provides a more practical pathway for the utilization of the BF3·OEt2 catalytic system.

China's provincial wind power potential assessment and its potential contributions to the "dual carbon" targets.

Wind power development is one of the important measures to achieve China's committed dual carbon targets (carbon peak before 2030 and carbon neutrality before 2060). This study assessed the technical and economic potential of China's onshore and offshore wind power potential through Geographic Information System (GIS) layer overlay and raster calculations. Based on the assessment, provincial contributions of wind power under the 'dual carbon' targets are also estimated. The results show that (a) the technical potential of China's wind power is 25.57 PWh/year, and the economic potential is 11.69 PWh/year. Fifty-six percent of the potential is located in Inner Mongolia, Xinjiang, and Gansu provinces, while 75% of the offshore potential is distributed over the coastal provinces (Liaoning, Zhejiang, Fujian, Guangdong, and Shandong). (b) Ten provinces, including Anhui, Jiangxi, and Henan, have insufficient remaining economic potential. In comparison, five provinces, including Jiangxi, Henan, Hubei, Yunnan, and Ningxia, have advanced wind power development, with 2020 as the base year. (c) For carbon neutrality, China's potential contributions of wind power may need 1088-2620 GW by 2060. Eight provinces can constitute 72% of the new potential contributions. China may need approximately 9.23 trillion CNY (2020 constant price) investment in wind power for the contributions.

Response of China's electricity consumption to climate change using monthly household data.

Intensifying climate change significantly impacts residential electricity consumption, especially in developing countries, such as China, that are experiencing rapid income growth. By combining meteorological and monthly household consumption survey data, this study explores the response function of residential electricity consumption to temperature in China from a micro perspective. Future residential electricity demands and related CO2 emissions are then forecast under different climate scenarios. Overall, the response function is U-shaped, and one additional day above 34 °C will increase monthly residential electricity consumption by 2.11%. Global warming will more likely increase the electricity burden on low-income groups. There will be notable seasonal changes in electricity demand in the future, and the largest increase will occur in August. The total demand for residential electricity caused by temperature change will show a fluctuating growth trend, from 0.8% and 1% in 2025 to 2% and 2.9% in 2060 under the RCP4.5 scenario and RCP8.5 scenario, respectively; meanwhile, this demand will be accompanied by a cumulative increase in carbon dioxide emissions.

Synergy evaluation of China's economy-energy low-carbon transition and its improvement strategy for structure optimization.

Low-carbon economic development and energy transition are interactively linked. The synergetic development of the two subsystems is important to achieve the "double carbon" goal of sustainable development. First, this study proposes a model to measure the current synergy level of China's economy-energy low-carbon transition. Second, an optimization model is developed to improve industry and energy synergy levels through structure optimization. The synergy degree (SD) level of China's economy-energy low-carbon transition increased from 0 to 0.98 between 2005 and 2017. Furthermore, 69.2% of the periods are in a state of asynergy (SD < 0.6). By implementing the industry and energy structure optimization (OPT) scenario, the synergy level by 2035 can be 27.8% higher than the business-as-usual (BAU) scenario. Moreover, light synergy (0.6 ≤ SD < 0.8) could be achieved by 2025, and high-quality synergy (0.9 ≤ SD ≤ 1) by 2033 in the OPT scenario. Conversely, the synergy level can only achieve light synergy until 2035 in the BAU scenario. Compared to energy structure optimization, the low carbonization of the economic structure plays a more significant role in improving the synergy level of the transaction. These findings can provide support for China's policy-making regarding economic and energy transition.

The consequences of cyberbullying and traditional bullying victimization among adolescents: Gender differences in psychological symptoms, self-harm and suicidality.

This study aimed to examine the effects of different types of bullying victimization (direct, relational, and cyber) on psychological symptoms, self-harm, and suicidality (including suicidal ideation and attempts) among adolescents, and to explore whether these effects may vary by gender. The data were obtained from a cross-sectional study of adolescents (n = 11,248, 46.7% females) with a mean age of 13.83 years from grade 5 to 12 in Henan, China. A series of binary logistic regression models were conducted to estimate the associations between different types of bullying victimization and psychological symptoms, self-harm, suicidal ideation, and suicidal attempts, after adjusting for demographic covariates. All three types of bullying victimization were significantly associated with psychological symptoms, self-harm, suicidal ideation, and suicidal attempts. Adolescents who suffered from cyberbullying victimization were more likely to commit self-harm and suicidal attempts as compared to direct and relational victimization. Female adolescents who suffered from relational bullying tend to have a higher risk of suicidal attempts than male adolescents. The current study demonstrated the negative effect of bullying victimization on adolescents' adverse psychological outcomes and gender difference need to be taken into account in developing targeted intervention strategies to address bullying victimization.

Ranking provincial power generation sources of China: a decision-maker preferences based integrated multi-criteria framework.

The ranking of power generation sources is a very important prerequisite for power generation installation planning and power supply security. This study proposed a new multi-criteria system for ranking regional power generation sources in one country, including resources, economy, technology, environment, and society, using 11 sub-criteria. Based on the system, a novel decision-maker (DMs) preference-based integrated MCDM framework involving four methods (Visekriterijumsko Kompromisno Rangiranje (VIKOR), Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), Preference Ranking Organization Method for Enrichment Evaluations (PROMETHEE), and Weighted Sum Method (WSM)) was developed for ranking six power generation sources (thermal, nuclear, wind, hydro, solar PV, and biomass) at the level of China's 30 provinces. Six different preferences of DMs are considered in the ranking according to five criteria. The results show that wind should be the power generation source given the top priority in most provinces in China whereas nuclear power and thermal power are the last choice for 26 provinces. Biomass is the most preferable power source for 17 provinces based on technological preference in which DMs regard the technology criteria is prior to all other criteria. Thermal power would still the preferred or secondary power source for provinces rich in coal resources such as Shanxi, Inner Mongolia, Henan, and Shaanxi.

Does the development of renewable energy promote carbon reduction? Evidence from Chinese provinces.

Developing renewable energy is a crucial measure in addressing climate change and achieving carbon reduction. However, research evidence on its impact is mixed. To fill this gap, we construct a panel quantile regression model in this study to examine whether China's renewable energy development has effectively promoted a reduction in carbon emissions using panel data of 30 Chinese provinces from 2005 to 2016. The results show that: (1) Improving China's renewable energy development level is conducive to carbon emission reductions. Specifically, carbon intensity could drop by 0.084%-0.149% for every 1% increase in renewable energy generation. However, the inhibitory effect is limited due to trapped electricity as well as the fact that substituting renewable energy for fossil energy has not yet sufficiently transformed the energy consumption structure. (2) Renewable energy development has a greater impact on carbon intensity reduction in regions with high or low carbon intensity than in areas with intermediate carbon intensity. (3) The main factor in the decline in carbon intensity in China is a decrease in energy intensity. Nonetheless, the role of renewable energy in carbon reduction has increased over time.

Evaluating provincial eco-efficiency in China: an improved network data envelopment analysis model with undesirable output.

In this study, an improved matrix-type network data envelopment analysis (NDEA) model with undesirable output was developed to evaluate the eco-efficiency of China's 30 provinces. The proposed model considered three linked but independent subsystems of the economy-society-environment cyclic system. Additionally, to allocate the weights of the NDEA model among the three subsystems (environment, economy, and society) of the eco-environment, a new relative reduction of the input-based method was proposed. The results show that, from 2003 to 2016, the average eco-efficiency of China's 30 provinces was low, ranging in [0.59, 0.73]. Qinghai and Hainan ranked first and second, respectively, in average eco-efficiencies, while both Shaanxi and Xinjiang had the lowest average eco-efficiencies. Affected by the low social subsystem efficiency, the eco-efficiency of 18 provinces decreased, but the range of the decrease was smaller than that of the increase in 11 other provinces in which the eco-efficiency improved. The average efficiency of the environmental subsystem is the highest among the three subsystems benefiting from reducing the emissions of "three industrial wastes," while economic subsystem owns the lowest average efficiency due to the input redundancy of total fixed assets and energy consumption. Compared with variables' projection, for most provinces, the undesirable output of the three industrial wastes should be reduced by more than 88.0%, while the positive outputs of atmospheric quality and per capita years of education should be increased by at least 61.0%.

Campus bullying and anxiety symptoms in boarding middle school students in Anyang / 中国学校卫生

Objective@#To understand the association between bullying and anxiety symptoms of boarding middle school students, and to provide a scientific basis for preventing bullying and promoting mental health of boarding middle school students.@*Methods@#By using stratified cluster random sampling method, 2 823 students were selected from 10 schools in Anyang, Henan Province. Questionnaire survey using self-designed bullying items and Mental Health Scale of Chinese Middle School Students was administered.@*Results@#The overall prevalence of school bullying was 37.9%， with boarding school students(38.9%) being higher than non-boarding school students (37.1%). The anxiety symptom reporting rate of boarding students (42.9%) was higher than that of non-boarding students (27.3%). Binary Logistic regression analysis showed that, compared with non-boarding students, bully victim and bully perpetuator/victim students were more likely to have anxiety symptoms (OR=2.30, 6.04，1.94, 4.23) (P<0.05).@*Conclusion@#There is a correlation between different roles of campus bullying and anxiety symptoms among boarding and non-boarding school students. Boarding school students have a higher risk of anxiety symptoms, especially among those with both experiences of bully perpetuator/victim.

Sparse electrocardiogram signals recovery based on solving a row echelon-like form of system.

The study of biology and medicine in a noise environment is an evolving direction in biological data analysis. Among these studies, analysis of electrocardiogram (ECG) signals in a noise environment is a challenging direction in personalized medicine. Due to its periodic characteristic, ECG signal can be roughly regarded as sparse biomedical signals. This study proposes a two-stage recovery algorithm for sparse biomedical signals in time domain. In the first stage, the concentration subspaces are found in advance. Then by exploiting these subspaces, the mixing matrix is estimated accurately. In the second stage, based on the number of active sources at each time point, the time points are divided into different layers. Next, by constructing some transformation matrices, these time points form a row echelon-like system. After that, the sources at each layer can be solved out explicitly by corresponding matrix operations. It is noting that all these operations are conducted under a weak sparse condition that the number of active sources is less than the number of observations. Experimental results show that the proposed method has a better performance for sparse ECG signal recovery problem.

Evaluation of transforaminal ligaments by magnetic resonance imaging.

OBJECTIVES: Three-part study to (1) identify and describe transforaminal ligaments (TFLs), (2) determine the best low-field-strength magnetic resonance imaging (MRI) technique for TFLs, and (3) determine the ability of low-field-strength MRI to obtain images of TFLs. DESIGN: Part I-descriptive anatomic study; part II-descriptive MRI study; part III-blinded comparison of diagnostic test against gold standard (MRI vs anatomic dissection). SETTING: Chiropractic college gross anatomy laboratory and MRI facilities. SPECIMENS: Three anatomic specimens of male cadavers age 60 to 85 years; a fourth specimen was used for training radiologists in part III. MAIN OUTCOME MEASURES: Part I-number and size of TFLs; part II-subjective grading of highest quality MRI images; part III-specificity, sensitivity, positive predictive value, negative predictive value, percent agreement, and accuracy of identifying TFLs from MRI scans. MAIN RESULTS: Part I-19 TFLs identified in 30 intervertebral foramina (IVFs) (60% of IVFs had TFLs), thick = 4 (21%), medium thickness = 12 (63.2%), thin = 3 (15.8%); part II-TFLs demonstrated to best advantage with pure sagittal plane, T(1)-weighted MRI; part III-average: specificity = 88.9%, sensitivity = 45.6%, positive predictive value = 86.7%, negative predictive value = 50.8%, percent agreement = 78%, and accuracy = 62.4%. CONCLUSIONS: The number of TFLs was in general agreement with previous research. Images of TFLs can be successfully imaged with low-field-strength MRI. If a trained radiologist identifies a TFL, there is an 87% chance that one is present, and if a trained radiologist does not identify a TFL in an intervertebral foramen, there remains a 51% chance that one is present.