Search

目的以经食管超声心动图 （TEE） 为标准，探讨双能CT （DECT） 增强评估房颤患者左心耳血栓/超声自发显影 （LAAT/SEC） 的诊断价值。方法回顾性分析2020年11月-2021年11月确诊为非瓣膜性房颤拟行射频消融术者，根据TEE结果将患者分为非 LAAT/SEC 组与LAAT/SEC 组，分析两组间DECT各参数间的差异，并采用单因素和多因素logistics回归筛选诊断LAAT/SEC风险因素从而构建LAAT/SEC风险诊断模型。结果本研究共纳入64例房颤患者，其中非 LAAT/SEC 组42例，LAAT/SEC 组22例。两组间性别、身体质量指数分布差异性无统计学意义（P > 0.05）。LAAT/SEC 组CHA2DS2-VASC评分、左心房前后径大于非LAAT/SEC 组（P = 0.047；P < 0.001）。两组间第一期CT增强扫描左心耳/主动脉 （LAA/AA） CT比值及DECT定量参数 （Zeff、Rho、λHu、nIC） 间差异性有统计学意义（P < 0.001）。多因素logistics回归显示Zeff， Rho是诊断LAAT/SEC的独立因素，DECT多参数综合模型 （Zeff-Rho） 诊断LAAT/SEC的AUC值达0.96 （95%CI： 0.92， 1.00），准确度0.92 （95%CI： 0.83， 0.97）。结论DECT定量参数中Zeff、Rho是LAAT/SEC形成的独立风险因素，基于DECT 的多定量参数 （Zeff-Rho） 模型诊断LAAT/SEC 效能可能优于单参数及常规CT。

Green transformation is an intrinsic demand for the construction of a modern industrial system and is essential for achieving high-quality economic development in China under the new development paradigm. The textile and apparel industry a quintessential traditional sector has made the acceleration of green upgrading and transformation a key direction for industrial development. However the industry is generally plagued by issues such as high energy consumption high pollution and low added value. There is an urgent need to enhance energy efficiency through technological innovation reduce environmental pollution increase product value and promote in-depth transformation and upgrading of the industry. The application of digital technology in China's textile and apparel industry is driving technological renovation in traditional industries. This paper examines the impact of digital technology on the green transformation of textile and apparel enterprises from the perspective of digital empowerment. The paper develops a multidimensional indicator system to evaluate the level of green transformation in textile and apparel enterprises. Using panel data from the listed companies in China's textile and apparel industry from 2008 to 2021 the article conducted an empirical study on the impact and mechanisms of digital empowerment on the green transformation of enterprises in the textile and apparel industry from the perspective of technological renovation. In addition it also conducted an analysis of the moderating effects from the aspects of financing constraints and tax incentives. Furthermore the heterogeneity analysis based on differences in enterprise ownership regional characteristics and size was conducted. To verify the reliability of the conclusions alternative explanatory variables and sample intervals were selected for robustness testing of the model. Instrumental variable method and Propensity Score Matching PSM method were employed for endogeneity testing. The study finds that digital empowerment significantly promotes the green transformation of textile and apparel enterprises. The promotional effect is more significant for relatively large enterprises those located in the eastern regions and non-state-owned enterprises. What's more this paper reveals the mechanism by which digital empowerment fosters the green transformation of textile and apparel enterprises technological renovation is the key path to achieve green transformation and enterprise capital renewal plays a mediating role in this process. Further analysis indicates that the reduction of financing constraints helps digital empowerment to optimize various stages of green transformation thereby accelerating the transformation process of enterprises. However excessive tax incentives may have negative effects and even induce rent-seeking and arbitrage behaviors which hinders the sustainable development and green transformation of enterprises. The paper contributes to green transformation research from the perspective of digital empowerment and finds the mechanism of technological renovation on the impact of digital empowerment. It not only provides a new perspective for understanding the green transformation of digital empowerment in textile and apparel enterprises but also offers beneficial suggestions for enterprises to more effectively utilize digital technology for green transformation. [ABSTRACT FROM AUTHOR]

The abuse of new psychoactive substances (NPS) shows a significant growth trend around the world, which has the characteristics of a wide variety, a wide epidemic range and the strong addiction. Bromazolam, which appears in the illegal market as a benzodiazepine NPS, is usually used to enhance the stimulating effect of opioids or to use its hypnotic and amnesia side effects to carry out drug sexual assault. In this study, the metabolic model of bromazolam in zebrafish and human liver microsomes was established. Phase Ⅰ and Ⅱ metabolites of bromazolam were identified by liquid chromatography-high resolution mass spectrometry (LC-HRMS) . Seven metabolites were identified, of which six were phase Ⅰ metabolites and one was a phase Ⅱ metabolite. The metabolic pathways of bromazolam include monohydroxylation (M1), dihydroxylation (M2), monohydroxylation+reduction (M3), dealkylation (M4), oxidative deamination (M5), monohydroxylation+ oxidative deamination (M6) and monohydroxylation+glucuronidation (M7) . Monohydroxylation metabolites (M1) are recommended as the possible biomarker of bromazolam. In this paper, the metabolism of bromazolam in vivo was studied for the first time, and the information of metabolites and metabolic pathways of bromazolam was improved, which is helpful to provide methods and data for its abuse. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Materials Engineering / Cailiao Gongcheng is the property of Journal of Materials Engineering Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Xi'an Jiaotong University is the property of Editorial Office of Journal of Xi'an Jiaotong University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Precious Metals / Guijinshu is the property of Precious Metals Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Atomic Energy Science & Technology is the property of Editorial Board of Atomic Energy Science & Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Fly Ash Comprehensive Utilization is the property of Hebei Fly Ash Comprehensive Utilization Magazine Co., Ltd. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of West China Journal of Stomatology is the property of Sichuan University, West China College of Stomatology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Tianjin Medical Journal is the property of Tianjin Medical Journal and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Clinical Nursing in Practice is the property of Journal of Clinical Nursing in Practice (Editorial Board, Shanghai Jiao Tong University Press) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Psychological Science is the property of Psychological Science Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Northern Agriculture / Beifang Nongye Xuebao is the property of Journal of Northern Agriculture Editorial and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Continue Education Research is the property of Harbin Normal University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Foundry Technology (1000-8365) is the property of Foundry Technology Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Geology & Resources is the property of Geology & Resources Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Xi'an Jiaotong University is the property of Editorial Office of Journal of Xi'an Jiaotong University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

China has entered a new era of economic growth driven by technological progress and advancements. The coordinated development of industrial robots and human employment have become an important component of high-quality industrial development. The application of industrial robots in the textile industry has improved efficiency, flexibility, continuity of production, and transformational upgrades throughout the industry. This has, however, also been accompanied by a decline employment number. From 2007 to 2019, the number of workers employed by industrial enterprises in China’s textile industry decreased from 10.857 5 million to 6.934 9 million. In this context, studying the employment effects of the application of industrial robots in the textile industry, exploring how to create high-quality employment through digital and smart technology transformation, and achieving broad integration of industrial robots in production, interaction, and collaboration with the labor force, are necessary for the modernization of the textile industry as a whole. This paper seeks to provide new ideas and reference for the formulation of relevant labor-intensive industrial policies in the context of industrial robot integration and modernization.Firstly, the industrial robot data of the textile industry from the International Federation of Robotics and the employment data of the textile, garment, and chemical fiber manufacturing industries from China’s Industry Manufacturing Classification System were used to synthesize provincial panel data ranging from 2007 to 2019. Secondly, the fixed effect model was used to empirically analyze the impact and integration mechanisms of industrial robots on the quantity and quality of employment in the textile industry. Finally, a robustness test was conducted by substituting explanatory variables and instrumental variable methods. Heterogeneity testing was also conducted from four dimensions: the opportunity of textile industry transfer and the rate of evolution of the development level, the gender structure of workers, the skill structure of workers, and the stages of application for industrial robots. This study saught to verify the moderating effect of human capital on the impact of industrial robot application where quantity and quality of employment are concerned. Heterogeneity testing based on the spatiotemporal characteristics of the textile industry and the characteristics of workers was also conducted. The results show that the application of industrial robots in the textile industry has a significantly negative impact on employment numbers and promotes the improvement of employment quality. The advancement of human capital weakens the quantity substitution effect and quality improvement effect of industrial robots. There is spatial, gender, skill, and temporal heterogeneity in the impact of industrial robot application on employment. In terms of space, industrial robots have an employment substitution effect in provinces with stable development and improved development of the textile industry in addition to employment creation effects in provinces with reduced development. Industrial robots have a more prominent role in improving the employment quality of the textile industry in provinces with stable development, but have no significant impact on the employment quality in other provinces. In terms of gender, the substitution effect of industrial robots on males is greater than on females. In terms of skills, the application of industrial robots replaces low-skilled workers, while increasing the number of R＆D personnel. In terms of time, the substitution effect of industrial robot integration on the number of employees before 2013 and the improvement effect on the quality of employment after 2013 are more significant.This paper explores the impact, mechanism, and heterogeneity of industrial robot application in the textile industry on the quantity and quality of employment. It expands the theoretical research on the impact of digital and smart technology transformation on employment in labor-intensive industries. It provides important reference value for coordinating the relationships between industrial robots and human beings for the deep integration of artificial intelligence technologies such as industrial robots in textile industry, and promoting high-quality employment and enriching the people in the industry. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Zhengzhou University: Engineering Science is the property of Editorial Office of Journal of Zhengzhou University: Engineering Science and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The textile industry is a traditional pillar industry and an important industry for people’s livelihood in China. Over the past 40 years of reform and opening, China has established a world-leading modern production system in the entire industrial chain of the textile industry and has become the world’s largest country in the production, export, and consumption of fiber products. It has gradually changed from being the recipient of the fourth international industrial transfer to becoming the investor in the fifth international industrial transfer. From 2003 to 2018, the total outward foreign direct investment (OFDI) in China’s textile industry reached US$9.796 billion, with an average annual growth rate of 15.6%. However, with the changes in the international environment and factor endowments, the momentum of the international economic cycle that relies on foreign markets and resources has weakened significantly. In this context, the scale of OFDI peaked and then gradually shrank. China’s textile industry faces the problem of utilizing OFDI’s external integration with global resources to promote high-quality development. To examine the effect and mechanism of OFDI that affect the industry’s high-quality development, this research conducts an empirical study based on the practice of OFDI in China’s textile industry. This study builds the theoretical framework of OFDI and the high-quality development of the textile industry, uses the extended investment gravity model, and provides a new theoretical explanation along with an empirical test on the mechanism between OFDI and the high-quality development of the textile industry. Firstly, this paper uses the entropy method to measure the high-quality development index of the textile industry in China from five dimensions: industrial development foundation, digital level, supply system quality, production structure quality and green level. Secondly, the panel data of OFDI stock of the textile industry in 49 countries from 2012 to 2019 were used as samples to empirically analyze the effect and mechanism of OFDI on the high-quality development of China’s textile industry. The robustness test was carried out by using variable substitution, quantile regression, and the instrumental variable method. Finally, the heterogeneity test was conducted from the perspectives of stages of OFDI, differences in economic development levels, and the Belt and Road Initiative strategy. This study verifies the pathway mechanism and the heterogeneity of OFDI affecting the overall and subdivision of high-quality industrial development, as well as the time and space. The results show that at the overall index level, the expansion of OFDI can significantly promote the high-quality development of China’s textile industry. On the one hand, OFDI reduces the cost through the good development foundation of the textile industry in the host country; on the other hand, it promotes the high-quality development of the industry through the reverse technology spillover path caused by the internet, but the effect of overseas market expansion is not significant. As for the five dimensions of high-quality development, OFDI can promote the digital level, the green level, and the quality of the supply system. The negative impact on the industrial development foundation is weak, but it significantly inhibits the production structure and export trade. Compared to the significant export creation effect of China’s overall OFDI, this result shows industrial heterogeneity. The effect of OFDI on high-quality industrial development shows spatiotemporal heterogeneity. Compared in terms of time, the overall promoting effect of OFDI is stronger during the “foundation quality improvement” stage compared to the “green transformation” stage. The OFDI in “green transformation” stage is conducive to improving the quality of the supply system and production structure. In terms of space, compared with the investment flowing to developing countries or countries along the “One Road”, the investment flowing to developed countries or countries along the “One Belt” is more conducive to the overall high-quality development of the industry and the improvement of the green level. This study’s discussion on the effect and mechanism of OFDI affecting the high-quality development of the textile industry can provide guidance to other traditional manufacturing industries’ “going global” and high-quality development. It can also provide significant inspiration for the construction of the “dual circulation” development pattern in which the domestic economic cycle plays a leading role while the international economic cycle remains as its extension and supplement. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Dalian Ocean University is the property of Journal of Dalian Ocean University Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Objective To analyze the correlation between thoracic and lumbar bone mineral density and to identify specific diagnostic thresholds of osteoporosis and osteopenia for the thoracic spine. Methods Retrospective analysis of 276 patients who received abdomen non-contrast-enhanced CT scan for otherindication. BMD of each vertebra spanning T10–L3 was measured, the correlation between BMD of each vertebral body, mean T10-T12 BMD and mean L1-L3 BMD were analyzed using Pearson analysis. The cut-off values of thoracic spine (T10-12) averaged BMD for osteoporosis and osteopenia were calculated using linear regression. Results The BMD of vertebral body from T10 to L3 gradually decreased, with the highest BMD in the T10(120.49 ± 35.96 mg/cm3) and lowest at L3 (95.62 ± 35.95 mg/cm3). Significant correlations in BMD among all measured thoracic and lumbar levels were observed（r=0.894-0.967, P＜0.05）, and a Pearson’s correlation coefficient between mean T10-T12 BMD and mean L1-L3 BMD was 0.957. Respective cut-off values of mean T10-T12 BMD for osteoporosis and osteopenia was 96.59 mg/cm3 and 134.75 mg/cm3. Conclusion There is a high correlation between mean L1-L3 BMD and mean T10-T12 BMD, BMD measurement of thoracic spine can be used as a method for diagnosis of osteoporosis and osteopenia. [ABSTRACT FROM AUTHOR]

At present, precipitation products still have great uncertainty. Precipitation and its spatial distribution can be estimated more accurately by using multi-source precipitation data fusion. To achieve data fusion in no-gauged areas, Bayesian-Three Cornered Hat method is adopted to integrate precipitation products based on gauged data, satellite remote sensing and reanalysis data without any prior information, to explore the influence of precipitation products with different input quantities on the accuracy of fusion data, and to study the contribution rates of each precipitation product to the accuracy of fusion data. It is applied in the source region of the Yellow River. The results show that the performance of the fusion data is better than that of the original precipitation products on the monthly scale. On the daily scale, the performance of the fusion data is obviously better than that of satellite remote sensing and reanalysis precipitation products, but lower than that of the gauge-based precipitation product CHM_PRE. Two gauge-based precipitation products, CN05. 1 and CHM_PRE, have the largest contribution rates to the fusion data. The application in the source region of the Yellow River shows that the Bayesian-Three Cornered Hat method can estimate precipitation more accurately. It is suitable for no-gauged areas, and can provide the reference basis for data fusion analysis and its application. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Materials Engineering / Cailiao Gongcheng is the property of Journal of Materials Engineering Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Chinese Medical Equipment Journal is the property of Chinese Medical Equipment Journal Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Chinese Journal of Osteoporosis is the property of Chinese Journal of Osteoporosis and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Objective: To explore the timing of treatment of invasive mechanical ventilation in patients with acute exacerbation of chronic obstructive pulmonary disease (AECOPD) combined with severe respiratory failure, and to analyze the prognostic influencing factors. Methods: 161 patients with AECOPD combined with severe respiratory failure who were treated in Beijing Shijitan Hospital Affiliated to Capital Medical University from March 2020 to December 2021 were selected, they were divided into early group (n = 89) and delayed group (n = 72) according to the time of endotracheal intubation, the clinical indicators, blood gas analysis indicators and mortality (prognosis) within 28 d were compared after treatment between the two groups. Patients were divided into death group (n = 29) and survival group (n = 132) according to different prognosis, the general and laboratory data of patients were collected, univariate and multivariate Logistic regression were used to analyze the influencing factors on the prognosis of patients with AECOPD combined with severe respiratory failure. Results: The invasive ventilation time, total mechanical ventilation time, and intensive care unit (ICU) hospitalization time in the early group were shorter than those in the delayed group (P < 0.05) The arterial partial pressure of carbon dioxide (PaCO2) in two groups decreased after treatment compared with before treatment, the oxygenation index (OI), and arterial partial pressure of oxygen (PaO2) were higher than that before treatment, and the degree of change in the early group was greater than that in the delayed group (P < 0.05) The mortality rate within 28 d in the delayed group was 15/72 (20.83%). The mortality rate within 28 d in the early group was 14/89 (15.73%), there was no difference in 28 d mortality rate of patients between the two groups (P>0.05). The results of the univariate analysis showed that influencing factors on the prognosis of patients with AECOPD combined with severe respiratory failure were concurrent ventilator-associated pneumonia, concurrent multiple organ insufficiency syndrome, age, PaCO2, hemoglobin(HB), blood urea nitrogen (BUN), white blood cell count (WBC), pH value, neutrophil count / lymphocyte count ratio (NLR), platelet count / lymphocyte count (PLR), C-reactive protein (CRP), D-Dimer (D-D), and B-type natriuretic peptide was associated (P<0.05). The results of multivariate Logistic regression analysis showed that concurrent ventilator-associated pneumonia, concurrent multiple organ insufficiency syndrome, higher PaCO2, older age, lower Hb, lower pH value and higher D-D were risk factors for poor prognosis in patients with AECOPD combined with severe respiratory failure (P<0.05). Conclusion: Early use of invasive mechanical ventilation in patients with AECOPD combined with severe respiratory failure, it can effectively improve blood gas analysis, reduce invasive ventilation time, total mechanical ventilation time, ICU hospitalization time. Concurrent ventilator-associated pneumonia, concurrent multiple organ insufficiency syndrome, higher PaCO2, older age, lower Hb, lower pH value and higher D-D both are leading to risk factors for poor prognosis in patients with AECOPD combined with severe respiratory failure. [ABSTRACT FROM AUTHOR]

The necessity of green transformation for Chinese manufacturing businesses was stressed again with the adoption of the 14th Five-Year Plan for Industrial Green Development. Enterprises are a high priority in green transformation and are the subject of the most difficulties in green transformation. As a typical representative of the traditional manufacturing industry, the green transformation of textile printing and dyeing enterprises is significant and urgent. Due to the high costs of transformation brought on by environmental pressures, the establishment of textile industry clusters and textile eco-industrial parks has geographically facilitated the cooperation between printing and dyeing enterprises and industry cluster members, enhanced green synergistic innovation within the clusters, and achieved green transformation, but the internal dynamic mechanism for enterprises to cooperate and transform is still lacking. Therefore, more in-depth research should be done on the factors affecting both business cooperation and competition. In order to study the internal dynamics of the decision between independence and cooperation in the process of green transformation of textile printing and dyeing enterprises from a micro perspective, this paper uses the evolutionary game and MATLAB software to simulate two textile printing and dyeing enterprises. The study shows that the outcome of the evolutionary game is influenced by the initial cooperative transformation intention of the green transformation of the printing and dyeing enterprises, and the higher the cooperative intention, the more it can reduce the rapid achievement of a stable cooperative state. Additionally, whether the dyeing enterprises decide to increase their "internal strength" and transform independently or seek "external assistance" to cooperate in the green transformation process depends on the willingness of the two dyeing enterprises to cooperate in the process, the risk factor, the degree of complementary knowledge, the trust, the effort, the default, and the government incentives. Higher levels of knowledge complementarity, trust, and cooperation between firms, as well as high levels of government incentives and default, can increase synergies and lower the risk of a green transformation, enabling businesses to work together. Conversely, businesses with higher risk factors are more likely to go through a green transformation on their own. This is demonstrated as follows: (i) The complementary knowledge of printing and dyeing enterprises can achieve inter-enterprise cooperation more effectively; enterprises with a higher degree of complementarity can more effectively obtain resources and knowledge in each other's enterprises that are beneficial to them and expand the synergy effect of knowledge, such as the cooperation between light-colored dyeing factories and dark-colored dyeing factories. (ii) The level of effort of the printing and dyeing enterprises in the cooperation can effectively maintain the stability of the cooperation. (iii) A higher level of trust between printing and dyeing enterprises can facilitate the transformation of cooperation, but the conclusion of cooperation contracts requires a higher level of trust between enterprises. (iv) Higher liquidated damages can effectively reduce the probability of enterprises choosing opportunism in cooperation, which is conducive to maintaining the stability of cooperation. (v) Printing and dyeing enterprises with a higher risk factor are more inclined to carry out green transformation independently, while those with a lower risk factor are more inclined to cooperate with other enterprises to reduce the risk cost of green transformation. (vi) The government's incentive policy can effectively compensate for the weak willingness and hesitant mentality of printing and dyeing enterprises to initially cooperate in green transformation and promote cooperation among enterprises. To sum up, this paper focuses on the internal factors of corporate green transformation and explores the dynamics of whether companies transform independently or cooperatively. From the perspective of "enterprise cooperation" and using the method of evolutionary game, we analyze the variables influencing the independent or cooperative transformation of enterprises, their stability, and trends in repeated games based on the theoretical assumption of limited rationality, so as to provide reference and useful suggestions for the mechanism design of green transformation of enterprises. [ABSTRACT FROM AUTHOR]

Copyright of Natural Gas & Oil is the property of Editorial Department of Natural Gas & Oil and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Chinese Journal of Oil Crop Sciences is the property of Oil Crops Research Institute of Chinese Academy of Agricultural Sciences and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Railway Signalling & Communication Engineering is the property of Railway Signalling & Communication Engineering and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Chinese Journal of Oil Crop Sciences is the property of Oil Crops Research Institute of Chinese Academy of Agricultural Sciences and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Materials Engineering / Cailiao Gongcheng is the property of Journal of Materials Engineering Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Trade friction and productivity are important influencing factors for enterprises' internationalization choices. Based on the cases of Chinese textile enterprises and the panel data of exports and foreign direct investment of listed textile and apparel enterprises from 2005 to 2019 this paper establishes an empirical model to combine the external factors of trade friction with the internal factors of firm heterogeneity to study the impact of trade friction on enterprises' export and outward foreign direct investment OFDI internationalization choices. Scholars of the New Trade Theory study the relationship between trade and investment from the perspective of microenterprise heterogeneity using the internal factor productivity of enterprises as a measure and believe that enterprises with lower productivity will choose to sell domestically or withdraw from the market and enterprises with higher productivity will choose to export and invest abroad. However some domestic scholars have found the opposite phenomenon when studying the export and domestic sales choices of enterprises Low-productivity companies choose to export and highproductivity companies choose to sell domestically. Scholars call the phenomenon the productivity paradox which opposes the results of the New Trade Theory. Trade friction is an important external factor for companies to choose export or OFDI. Due to the existence of trade friction some enterprises with low productivity will choose OFDI in order to avoid non-tariff barriers. Therefore trade friction may reduce critical productivity for enterprises choosing OFDI which provides us with a new explanation for the productivity paradox. There are three kinds of relationship between OFDI and export Substitution complementarity and contingency. When trade frictions increase some enterprises will choose OFDI to avoid trade barriers. However no significant decline in exports has been found during OFDI period for all the listed textile enterprises in the study and the substitution relationship between foreign investment and exports is not clear. This paper explores an empirical analysis through typical case studies and a panel binary logit model combining external factors of trade friction with internal factors of firm heterogeneity. We study the impact of trade friction on enterprises' internationalization choices between export and OFDI' finding a new explanation of " productivity paradox". The results show that there is a productivity paradox of foreign investment. As trade friction increases the probability of enterprises choosing OFDI increases. Trade friction significantly lowers the critical productivity of OFDI enterprises. The more trade frictions the greater the probability that the downstream terminal textile and garment industry will choose OFDI. [ABSTRACT FROM AUTHOR]

Copyright of Computer Measurement & Control is the property of Magazine Agency of Computer Measurement & Control and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Objective To explore the reproducibility, correlation, consistency, and clinical application value of the lumbar BMD measured with Philips workstation IntelliSpace (IP, without phantom) and Mindways (MW) QCT Pro (with phantom), respectively. Methods Two hundred and twenty patients were performed abdominal scan in clinic. The scan data were sent to the IP and MW bone mineral density measurement software for measurement. The Pearson correlation test was used to analyze the correlation between the measurement result of the two software. The paired sample t test was used to analyze whether the average values of the two method were different. The Bland-Altman chart was used to analyze the consistency of the two. Thirty randomly selected cases were measured twice by different operators using each QCT software to test the reproducibility. Results There was significant correlation between two measurements in 30 randomly selected cases using IP and MW software. Correlation coefficient was 0. 977 (P < 0. 01) showing high reproducibility. There was no significant difference between the two measurements (P > 0. 05). The BMD value measured with IP (92. 93±36. 16 mg/cm³) was significantly lower than that measured with MW (112. 78± 41. 36 mg/cm³). There was a positive correlation between the two measured values (r= 0. 911, P

BACKGROUND: Germanium is an essential element for life. With the discovery of germanium-enriched soils all over China in recent years, the development of germanium-enriched agriculture has gradually gained attention. OBJECTIVES: To study the characteristics and range of germanium-enriched soil in typical black soil areas, and to analyze factors affecting soil germanium content. METHODS: Germanium content in soil was determined by inductively coupled plasma-mass spectrometry (ICP-MS) and inductively coupled plasma-optical emission spectrometry (ICP-OES).RESULTS: The germanium content in the topsoil of the Nehe area was 0.74-1.78 mg/kg, with an average value of 1.13 mg/kg. There was a large area of concentrated and contiguous germanium-enriched soil in the Nehe area, about 599.8 km², accounting for 9.31% of the city’s area. The source of germanium in the soil was the middle Pleistocene upper Huangshan Formation and the upper Pleistocene Guxiangtun Formation. The content of germanium in swamp soil and black soil was highest. CONCLUSIONS: The germanium content in the soil is related to the stratum, soil type and human activities. Soybeans have the highest germanium content in the crops. This area has good potential for the development of germanium-enriched agriculture. [ABSTRACT FROM AUTHOR]

Copyright of Railway Signalling & Communication Engineering is the property of Railway Signalling & Communication Engineering and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Energy Chemical Industry is the property of Energy Chemical Industry Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)