Article
Green & Sustainable Science & Technology
Zhen Wang, Xin-gang Zhao, Ying Zhou
Summary: The study finds that the total factor productivity of China's renewable energy industry has been declining by 4.60% annually, with industrial output growth mainly relying on factor input rather than technological progress. There is a bias towards capital in terms of technological progress and factor allocation, leading to hindered growth of TFP in the industry.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2021)
Article
Thermodynamics
Yufen Chen, Yanni Liu
Summary: This study finds that increasing capital or labor input can reduce energy intensity in the manufacturing industry, and biases from technological progress show different effects on energy and non-energy factors. R&D investment demonstrates an energy-saving effect in manufacturing industries and should be enhanced.
Article
Green & Sustainable Science & Technology
Yi Qiu, Wanwan Han, Di Zeng
Summary: Sustainable economic growth in China relies on increasing total factor productivity (TFP) in the manufacturing industry. This study analyzed the impact of biased technological progress on TFP using data from 27 subsectors of China's manufacturing industry from 1980 to 2019. The results showed that TFP in China's manufacturing industry has consistently increased over time, but biased technological progress and factor allocation have hindered its growth. Optimizing factor efficiency and structure can address this issue and further improve TFP in the manufacturing industry.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Environmental Sciences
Guanglei Yang, Donglan Zha
Summary: This study investigates the impact of biased technological progress on reducing PM2.5 by introducing renewable energy into a production function. The findings indicate that input biased technological progress exacerbates haze pollution, while output biased technological progress significantly reduces it in high-income economies and increases it in low-income economies. Increasing renewable energy consumption and reducing energy intensity are effective ways to mitigate haze pollution caused by input and output biased technological progress, respectively.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Environmental Sciences
Liang Wang, Xianyi Long, Kuo-Jui Wu, Ming-Lang Tseng, Yue Cao
Summary: China's construction industry is dealing with carbon emissions dilemma and needs to adjust environmental regulations. Many studies neglect the relationship between environmental regulations, technological innovation, and carbon emissions. This study bridges institutional theory to integrate practices in the construction industry. The findings can guide policymakers in reevaluating policy adequacy.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Environmental Sciences
Lili Ding, Kaixuan Zhang, Ying Yang
Summary: This study proposes a novel multidimensional decomposition approach to explore the driving factors of carbon emission intensity in China. The results show that the role of these drivers varies across different five-year plan periods.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Business
Qunchao Wan, Jin Chen, Zhu Yao, Ling Yuan
Summary: This study thoroughly investigates the innovation efficiency of China's hi-tech industry and finds that preferential tax policies have a significant impact on R&D technical efficiency and business transformation efficiency, which are also moderated by regional heterogeneity and economic policy uncertainty. The results provide important insights for improving national tax policies, designing policies for innovative talent flow, and enhancing the innovation efficiency of hi-tech industries.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2022)
Article
Thermodynamics
Zhijie Jia, Boqiang Lin
Summary: This paper innovatively divides the emission mitigation effect of technological progress into different types and simulates the effects of technological progress in the power sector using a dynamic computable general equilibrium model. The results show that there is a trade-off between emission reduction, economic growth, and social welfare due to the rebound effect. Price regulation in the power sector can reduce the rebound effect as well as economic growth and social welfare. The study also finds that technological progress can affect economic indicators through commodity and factor markets.
Article
Fisheries
Yanan Sun, Jianyue Ji
Summary: The study reveals the input-biased technological progress in China's mariculture industry and its positive contribution to total factor productivity. There are differences in the bias of technological progress between different factors, providing a basis for analyzing the desirability of technological progress bias.
JOURNAL OF THE WORLD AQUACULTURE SOCIETY
(2022)
Article
Environmental Sciences
Jianyue Ji, Yanan Sun, Xingmin Yin
Summary: With the rapid development of mariculture, the issue of environmental pollution has become increasingly serious. This study focuses on the green output bias of technological progress in mariculture and its impact on sustainable development. The research analyzes input-output data from 10 Chinese coastal areas and finds that green technological progress is a crucial factor affecting green total factor productivity in mariculture. The study also reveals regional differences in the green output bias of technological progress, with the South China Sea area showing the highest bias and the Bohai Sea area performing poorly. Policy suggestions are provided to achieve green and sustainable development in China's mariculture.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Environmental Sciences
Xi Zhang, Rui Li, Jinglei Zhang
Summary: This paper explores the relationship between R&D investment and green technological progress in China's manufacturing industry. The results show that different levels of R&D investment can significantly promote green technological progress, but the effect decreases as investment level improves. Environmental regulation can also contribute to green technological progress, but current policies may inhibit technological efficiency improvement.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Green & Sustainable Science & Technology
Juan Qian, Ruibing Ji
Summary: Based on provincial data in China, this study explores the impact of energy-biased technological progress on inclusive green growth. The results show that energy-biased technological progress can positively contribute to inclusive green growth through mechanisms such as industrial structure upgrading and cleanliness.
Article
Green & Sustainable Science & Technology
Zhonghua Cheng, Lianshui Li, Jun Liu
Summary: This paper constructs a comprehensive assessment model of technological progress in China and finds that despite losses in green TFP caused by deterioration in technological efficiency, other increases in green TFP offset these losses. The main reason for industrial technological progress is the progress of neutral technology, and the contribution shares from input-biased and output-biased technological progress are still relatively weak.
Article
Environmental Sciences
Wenhan Ren
Summary: This study investigates the marine technological progress in different coastal regions of China, revealing input-biased technological progress and its positive effects on TFP and the marine economy. However, over time, this bias effect weakens, leading to a deviation from a reasonable allocation structure for marine technological progress.
POLISH JOURNAL OF ENVIRONMENTAL STUDIES
(2021)
Article
Social Issues
Wei Zhang, Ting Zhang, Hangyu Li, Han Zhang
Summary: This paper investigates the dynamic spillover effects of R&D and digital investments in China's manufacturing industry caused by long-term technological change. By integrating R&D and digital investments as critical factors influencing technological progress, the simulation results reveal significant differences in inter-industry spillover capacities among 18 manufacturing industries in China in both industry and time dimensions. Based on the study results, a horizontal comparison of inter-industry spillover capacities and a longitudinal analysis of spillover capacities over time were conducted.
TECHNOLOGY IN SOCIETY
(2022)
Article
Chemistry, Multidisciplinary
Lihua Luo, Zhenyu Luo, Junlei Zhang, Xu Liu, Jiaxin Huang, Sijie Wang, Hang Yin, Xuemeng Guo, Yilong Hu, Yichao Lu, Xinyu Shan, Huihui Liu, Yingying Shi, Yongzhong Du, Fuchun Yang, Jian You
Summary: This passage introduces a treatment strategy for acute lung injury/acute respiratory distress syndrome (ALI/ARDS) and pulmonary fibrosis (PF). By designing a multistage targeted nanomicelle loaded with endoplasmic reticulum stress inhibitor and anti-inflammatory drug, the balance of macrophage polarization and restoration of endoplasmic reticulum homeostasis can be achieved, alleviating inflammation and ultimately resolving ALI and preventing PF.
Article
Chemistry, Medicinal
Xiaoman Liu, Mingxia Zhou, Zhenzhen Dai, Shangjian Luo, Yingying Shi, Zhenjuan He, Yingwei Chen
Summary: Salidroside effectively restricts experimental colitis by regulating macrophage pyroptosis and dysbacteriosis-derived Th17/Treg imbalance, suggesting its potential effect on UC and other immune disorders.
PHYTOTHERAPY RESEARCH
(2023)
Article
Engineering, Biomedical
Yu Liu, Xu Liu, Jiaxin Huang, Yingying Shi, Zhenyu Luo, Junlei Zhang, Xuemeng Guo, Mengshi Jiang, Xiang Li, Hang Yin, Bing Qin, Guannan Guan, Lihua Luo, Yun Zhou, Jian You
Summary: This study reports a novel mRNA vaccine delivery system using modified liposomes to efficiently induce tumor-specific immune responses. The system shows promising prophylactic effects and offers a strategy to address deficient tumor MHC-I expression.
ADVANCED HEALTHCARE MATERIALS
(2023)
Article
Green & Sustainable Science & Technology
Sen Li, Yingying Shi, Lingling Wang, Enjun Xia
Summary: With the rise of the digital economy era, the relationship between consumers and brands is changing, and brand management needs to adapt to this change. Brand orientation has sparked a discussion on the dominant paradigm of market orientation and a revolution in brand management. This study conducts a scientific analysis of literature and references in the field of brand orientation to identify its major research focuses, limitations, and the evolving relationship with market orientation.
Article
Microbiology
Xu Zhong, Li Zhang, Di Ma, Yingying Shi, Jiayin Wu, Xiaosheng Xu, Weihong Chen, Beiwen Wu, Yiding Tang, Hongping Qu, Qing Xie, Yi Yang, Jialin Liu, Haiguang Xin
Summary: This study assessed the performance of the rapid antigen detection test (RADT) and found that Ediagnosis performed excellently in individuals with a higher viral load, individuals in the early symptomatic phase, and especially those with upper respiratory tract symptoms.
MICROBIOLOGY SPECTRUM
(2023)
Article
Chemistry, Multidisciplinary
Xinyu Shan, Xiang Li, Zhenyu Luo, Qing Lin, Yichao Lu, Mengshi Jiang, Junlei Zhang, Jiaxin Huang, Lin Xie, Xuemeng Guo, Xu Liu, Yingying Shi, Yu Liu, Hang Yin, Fuchun Yang, Lihua Luo, Jian You
Summary: When it comes to long-acting injections, lyotropic liquid crystals (LLCs) are considered effective and powerful. However, widely used LLC-forming materials may lead to tissue cytotoxicity and undesired immunological responses, hindering their wide application. In this study, phosphatidylcholine and alpha-tocopherol were used as carriers to increase the biocompatibility. By changing the ratios between them, crystalline types, nanosized structures, viscoelastic differences, releasing behaviors, and in vivo safety were studied. The treatment of hormone-sensitive and castration-resistant prostate cancer using the LLC platform showed promising results.
Review
Food Science & Technology
Zhimin Wang, Chao Liu, Yingying Shi, Mingming Huang, Zunyang Song, Jesus Simal-Gandara, Ningyang Li, Jingying Shi
Summary: Lipopeptides are compounds produced by Bacillus spp. with a peptide ring and a fatty acid chain. They are widely used in various industries due to their hydrophilic and oleophilic properties. However, the complex metabolic network and strict synthesis pathway of lipopeptides result in high cost and low production efficiency, limiting their large-scale application. This review explores the types and biosynthetic pathways of Bacillus-produced lipopeptides, as well as methods to improve their production, such as genetic engineering and fermentation optimization.
CRITICAL REVIEWS IN FOOD SCIENCE AND NUTRITION
(2023)
Article
Biochemistry & Molecular Biology
Yan Wei, Guohui Xiao, Hui Xu, Xuehua Sun, Yingying Shi, Fen Wang, Jinlin Kang, Jin Peng, Fuxiang Zhou
Summary: Radiation resistance is the leading cause of failure in radiotherapy for cancer patients, which is mainly due to enhanced DNA damage repair in cancer cells. Autophagy, specifically mitophagy, has been found to be linked to genome stability and radiation resistance. SIRT3 was observed to be highly expressed in colorectal cancer cells with mitochondrial dysfunction, leading to PINK1/Parkin-mediated mitophagy. Excessive activation of mitophagy promoted DNA damage repair and increased tumor cell resistance to radiation.
Article
Biochemistry & Molecular Biology
Hao Kuang, Xuehua Sun, Ying Liu, Meng Tang, Yan Wei, Yingying Shi, Ruibin Li, Guohui Xiao, Jinlin Kang, Fen Wang, Jin Peng, Hui Xu, Fuxiang Zhou
Summary: Ferroptosis, a novel form of programmed cell death, can be induced by palmitic acid (PA) through the accumulation of reactive oxygen species and lipid peroxidation. PA affects intracellular iron content by inducing endoplasmic reticulum (ER) stress, and cells with high expression of CD36 are more vulnerable to PA-induced ferroptosis.
Article
Plant Sciences
Li Zhang, Mengyu Zhang, Chaotian Liu, Zechi Wu, Zijian Luo, Min Lu, Yingying Shi, Zhangjie Nan, Die Hu, Jinbao Pan, Weixiang Wang
Summary: A gene called MoJMJD3 encoding the JumonjiC (JmjC) domain has been identified in M. oryzae, a fungal pathogen causing devastating damage to rice crops worldwide. Deletion of the MoJMJD3 gene resulted in defects in early appressorium formation and fungal virulence during pathogenesis, indicating the crucial role of MoJMJD3 in fungal virulence.
JOURNAL OF PHYTOPATHOLOGY
(2023)
Article
Chemistry, Multidisciplinary
Yingying Shi, Ming Zhou, Min Kou, Kailin Zhang, Xianyi Zhang, Xianglei Kong
Summary: An artificial neural network (ANN) based approach is presented for quantitatively analyzing multiple chiral isomers from their ultraviolet photodissociation mass spectra. The results show that the network can be well-trained with limited sets and have a good performance in testing sets. This study demonstrates the potential of the new method in rapid quantitative chiral analysis aimed at practical applications, with room for improvement in the future.
FRONTIERS IN CHEMISTRY
(2023)
Article
Microbiology
Qingqing Du, Qi Xu, Fen Pan, Yingying Shi, Fangyuan Yu, Tiandong Zhang, Jie Jiang, Wenxin Liu, Xiaozhou Pan, Dingding Han, Hong Zhang
Summary: This study demonstrates a strong association between CRKP intestinal colonization and extraintestinal infection, based on whole-genome sequencing data and phenotypic assays of antimicrobial resistance and virulence.
MICROBIOLOGY SPECTRUM
(2023)
Article
Public, Environmental & Occupational Health
Na Zhao, Supen Wang, Lan Wang, Yingying Shi, Yixin Jiang, Tzu-Jung Tseng, Shelan Liu, Ta-Chien Chan, Zhiruo Zhang
Summary: The aim of this study was to analyze and compare the mortality rates of 10 notifiable respiratory infectious diseases (RID) in China from 2004 to 2020. The overall mortality rate of RIDs remained stable during this period, but there was a significant decrease in the mortality rate in 2020 compared to the previous five years, likely due to the COVID-19 pandemic. Tuberculosis was the leading cause of RID mortality, while seasonal influenza showed a significant increase in mortality. There were also variations in mortality rates among Chinese provinces and age groups.
FRONTIERS IN PUBLIC HEALTH
(2023)
Article
Medicine, Research & Experimental
Shiguang Lu, Ying Zhang, Yuejun Yang, Yafang Zhang, Guangcheng Qin, Qingqing Fu, Yingying Shi, Fan Zhang, Zhe Wang, Yanhe Chen, Yuancai Liu, Lixue Chen
Summary: The present study aimed to establish and evaluate a rat model for hangover headaches caused by alcoholic drinks. Chronic migraine model rats were administered alcoholic drinks to simulate hangover headache attacks, and their pain thresholds and serum levels of relevant indicators were measured. The results showed that rats administered alcoholic drinks had a significantly lower mechanical pain threshold, but no significant difference in thermal pain threshold. The serum levels of substance P, nitric oxide, and calcitonin gene-related peptide were significantly higher in the group receiving alcoholic drinks. This model can be used to investigate the mechanisms of hangover headaches.
IRANIAN JOURNAL OF BASIC MEDICAL SCIENCES
(2023)
Article
Endocrinology & Metabolism
Zhen Liang, Dong Sun, Shuaiyao Lu, Zhengjun Lei, Shusen Wang, Zhifeng Luo, Jinqin Zhan, Shuangshuang Wu, Yong Jiang, Zhi Lu, Shicheng Sun, Yingying Shi, Haiting Long, Yanling Wei, Wenhai Yu, Zhihui Wang, Liew Soon Yi, Yun Zhang, Wenyong Sun, Xiaofeng Fang, Yanyan Li, Sufang Lu, Jiayun Lv, Weiguo Sui, Zhongyang Shen, Xiaozhong Peng, Yuanyuan Du, Hongkui Deng
Summary: This study demonstrates the successful implantation of human pluripotent stem cell-derived islets in a new transplantation site in the abdomen, leading to improved glycemic control in diabetic primates. The results suggest the potential of using this transplantation site for human pluripotent stem cell-based therapies for diabetes.
Article
Green & Sustainable Science & Technology
Lars odegaard Bentsen, Narada Dilp Warakagoda, Roy Stenbro, Paal Engelstad
Summary: This study investigates uncertainty modeling in wind power forecasting using different parametric and non-parametric methods. Johnson's SU distribution is found to outperform Gaussian distributions in predicting wind power. This research contributes to the literature by introducing Johnson's SU distribution as a candidate for probabilistic wind forecasting.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Xing Liu, Qiuchen Wang, Yunhao Wen, Long Li, Xinfang Zhang, Yi Wang
Summary: This study analyzes the characteristics of process parameters in three lean gas ethane recovery processes and establishes a prediction and multiobjective optimization model for ethane recovery and system energy consumption. A new method for comparing ethane recovery processes for lean gas is proposed, and the addition of extra coolers improves the ethane recovery. The support vector regression model based on grey wolf optimization demonstrates the highest prediction accuracy, and the multiobjective multiverse optimization algorithm shows the best optimization performance and diversity in the solutions.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Cairong Song, Haidong Yang, Xian-Bing Meng, Pan Yang, Jianyang Cai, Hao Bao, Kangkang Xu
Summary: The paper proposes a novel deep learning-based prediction framework, aTCN-LSTM, for accurate cooling load predictions. The framework utilizes a gate-controlled multi-head temporal convolutional network and a sparse probabilistic self-attention mechanism with a bidirectional long short-term memory network to capture both temporal and long-term dependencies in the cooling load sequences. Experimental results demonstrate the effectiveness and superiority of the proposed method, which can serve as an effective guide for HVAC chiller scheduling and demand management initiatives.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Zhe Chen, Xiaojing Li, Xianli Xia, Jizhou Zhang
Summary: This study uses survey data from the Loess Plateau in China to evaluate the impact of social interaction on the adoption of soil and water conservation (SWC) technology by farmers. The study finds that social interaction increases the likelihood of farmers adopting SWC, and internet use moderates this effect. The positive impact of social interaction on SWC adoption is more pronounced for farmers in larger villages and those who join cooperative societies.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Chenghua Zhang, Yunfei Yan, Kaiming Shen, Zongguo Xue, Jingxiang You, Yonghong Wu, Ziqiang He
Summary: This paper reports a novel method that significantly improves combustion performance, including heat transfer enhancement under steady-state conditions and adaptive stable flame regulation under velocity sudden increase.
JOURNAL OF CLEANER PRODUCTION
(2024)
