Role of R&D investments and air quality in green governance efficiency

This article measures the impact of R&D investment and carbon dioxide (CO2) emission of the Shanghai and Shenzhen stock market listed companies on the green governance efficiency (G.G.E.). An econometric analysis based on the data from 2015 to 2019 is used to measure the impact. The study’s findings reveal that research and development (R&D) investments significantly boost G.G.E. On the other hand, CO2 emission and energy intensity reduce G.G.E. The study results show that the listed companies’ performance would have a significant role in achieving the Chinese government’s carbon neutrality goal. The study provides policy recommendations to promote green governance performance in China and other developing countrie

Solar energy investment, technological innovation and carbon emission reduction: Evidence from China

The aim of this paper is to investigate the impact of solar energy investment on carbon emissions. The STIRPAT model, a non-parametric additive regression model, and the vector autoregression model are built to investigate the comprehensive effect of solar energy investment on China’s carbon emissions. Solar energy investment and other factors related to carbon emissions are examined. The empirical study shows that it will take about 8 years for the solar energy investment to promote carbon emission reductions. The moderation analysis indicates that technological innovation has a moderating effect in the facilitation of carbon emission reduction by solar energy investment. The finding of this study has some meaningful policy implications. In order to achieve the goal of carbon emission reduction, China should keep solar energy investment continuous and steady and improve technological innovation

Antibiotic Stewardship in Retail Pharmacies and the Access-Excess Challenge in China:A Policy Review

In China, efforts to restrict excessive antibiotic consumption may prevent sufficient access to these life-saving drugs among the most deprived in society because of the weak primary health care system. This makes antibiotic stewardship in the retail pharmacy sector a particular challenge. We conducted an analysis to examinate policies on antibiotic sales in retail pharmacies in China and how tensions between ‘excess’ and ‘access’ are managed. The analysis was guided by the Walt and Gilson health policy analysis triangle to systematically analyse policies based on the content of policies, contexts, governance processes, and actors. Nine research studies and 25 documents identified from national and international sources were extracted, grouped into categories, and examined within and across records and categories. As of 2020, eight key policies have been introduced in China that focus on two areas: dispending prescribed medicines or antimicrobials with a prescription and having a licensed pharmacist present in the retail pharmacies, with approaches having changed over time. Inappropriate sales of antibiotics are still common in retail pharmacies, which can be linked to the lack of consistency and enforcement of published policies, the profit-driven nature of retail pharmacies, and the displacement of the demand for antibiotics from clinical into less regulated settings

Simultaneous Localization and Mapping with Power Network Electromagnetic Field

Various sensing modalities have been exploited for indoor location sensing, each of which has well understood limitations, however. This paper presents a first systematic study on using the electromagnetic field (EMF) induced by a building's electric power network for simultaneous localization and mapping (SLAM). A basis of this work is a measurement study showing that the power network EMF sensed by either a customized sensor or smartphone's microphone as a side-channel sensor is spatially distinct and temporally stable. Based on this, we design a SLAM approach that can reliably detect loop closures based on EMF sensing results. With the EMF feature map constructed by SLAM, we also design an efficient online localization scheme for resource-constrained mobiles. Evaluation in three indoor spaces shows that the power network EMF is a promising modality for location sensing on mobile devices, which is able to run in real time and achieve sub-meter accuracy

A five-collagen-based risk model in lung adenocarcinoma: prognostic significance and immune landscape

As part of the tumor microenvironment (TME), collagen plays a significant role in cancer fibrosis formation. However, the collagen family expression profile and clinical features in lung adenocarcinoma (LUAD) are poorly understood. The objective of the present work was to investigate the expression pattern of genes from the collagen family in LUAD and to develop a predictive signature based on collagen family. The Cancer Genome Atlas (TCGA) samples were used as the training set, and five additional cohort samples obtained from the Gene Expression Omnibus (GEO) database were used as the validation set. A predictive model based on five collagen genes, including COL1A1, COL4A3, COL5A1, COL11A1, and COL22A1, was created by analyzing samples from the TCGA cohort using LASSO Cox analysis and univariate/multivariable Cox regression. Using Collagen-Risk scores, LUAD patients were then divided into high- and low-risk groups. KM survival analysis showed that collagen signature presented a robust prognostic power. GO and KEGG analyses confirmed that collagen signature was associated with extracellular matrix organization, ECM-receptor interaction, PI3K-Akts and AGE-RAGE signaling activation. High-risk patients exhibited a considerable activation of the p53 pathway and cell cycle, according to GSEA analysis. The Collage-Risk model showed unique features in immune cell infiltration and tumor-associated macrophage (TAM) polarization of the TME. Additionally, we deeply revealed the association of collagen signature with immune checkpoints (ICPs), tumor mutation burden (TMB), and tumor purity. We first constructed a reliable prognostic model based on TME principal component—collagen, which would enable clinicians to treat patients with LUAD more individually

Cluster randomised controlled trial to assess a tailored intervention to reduce antibiotic prescribing in rural China:study protocol

INTRODUCTION: Up to 80% of patients with respiratory tract infections (RTI) attending healthcare facilities in rural areas of China are prescribed antibiotics, many of which are unnecessary. Since 2009, China has implemented several policies to try to reduce inappropriate antibiotic use; however, antibiotic prescribing remains high in rural health facilities. METHODS AND ANALYSIS: A cluster randomised controlled trial will be carried out to estimate the effectiveness and cost effectiveness of a complex intervention in reducing antibiotic prescribing at township health centres in Anhui Province, China. 40 Township health centres will be randomised at a 1:1 ratio to the intervention or usual care arms. In the intervention group, practitioners will receive an intervention comprising: (1) training to support appropriate antibiotic prescribing for RTI, (2) a computer-based treatment decision support system, (3) virtual peer support, (4) a leaflet for patients and (5) a letter of commitment to optimise antibiotic use to display in their clinic. The primary outcome is the percentage of antibiotics (intravenous and oral) prescribed for RTI patients. Secondary outcomes include patient symptom severity and duration, recovery status, satisfaction, antibiotic consumption. A full economic evaluation will be conducted within the trial period. Costs and savings for both clinics and patients will be considered and quality of life will be measured by EuroQoL (EQ-5D-5L). A qualitative process evaluation will explore practitioner and patient views and experiences of trial processes, intervention fidelity and acceptability, and barriers and facilitators to implementation. ETHICS AND DISSEMINATION: Ethical approval was obtained from the Biomedical Research Ethics Committee of Anhui Medical University (Ref: 20180259); the study has undergone due diligence checks and is registered at the University of Bristol (Ref: 2020-3137). Research findings will be disseminated to stakeholders through conferences and peer-reviewed journals in China, the UK and internationally. TRIAL REGISTRATION NUMBER: ISRCTN30652037

Constructional Meaning and Inheritance in Mandarin Chinese LVCs: The Case of the GIVE Group

This study focuses on aspectual properties of three light verb constructions in Mandarin Chinese involving the verbs jiyu, yuyi and jiayi, all meaning ‘give’. These verbs combine with an action nominal to form a complex predicate, but unlike jiyu and yuyi, the jiayi-construction is incompatible with any aspectual markers, as evidenced by my investigation into a million-word Mandarin corpus. Assuming that light verbs typically follow the grammaticalisation path from independent verbs to grammatical morphemes, I propose that the three GIVE verbs are at different stages of grammaticalisation. The verb jiayi is the most grammaticalised item. However, jiyu and yuyi have not fully grammaticalised as aspectual morphemes, so aspectuality has to be encoded by means of aspectual markers such as the perfective markers -le and -guo. Taking into account their different aspectual properties, this study gives a constructional presentation on the family of GIVE light verb constructions, which demonstrates both conventional meaning common to all GIVE light verb constructions and idiosyncratic features particular to each light verb construction

Pathways to optimising antibiotic use in rural China:Identifying key determinants in community and clinical settings, a mixed methods study protocol

Paul I. Kadetz - ORCID: 0000-0002-2824-1856 https://orcid.org/0000-0002-2824-1856Item not available in this repository.Introduction This study aims to investigate patterns of antibiotic treatment-seeking, describe current levels of and drivers for antibiotic use for common infections (respiratory tract and urinary tract infections) and test the feasibility of determining the prevalence and epidemiology of antimicrobial resistance (AMR) in rural areas of Anhui province, in order to identify potential interventions to promote antibiotic stewardship and reduce the burden of AMR in China. Methods and analysis We will conduct direct observations, structured and semistructured interviews in retail pharmacies, village clinics and township health centres to investigate treatment-seeking and antibiotic use. Clinical isolates from 1550 sputum, throat swab and urine samples taken from consenting patients at village and township health centres will be analysed to identify bacterial pathogens and ascertain antibiotic susceptibilities. Healthcare records will be surveyed for a subsample of those recruited to the study to assess their completeness and accuracy. Ethics and dissemination The full research protocol has been reviewed and approved by the Biomedical Ethics Committee of Anhui Medical University (reference number: 20170271). Participation of patients and doctors is voluntary and written informed consent is sought from all participants. Findings from the study will be disseminated through academic routes including peerreviewed publications and conference presentations, via tailored research summaries for health professionals, health service managers and policymakers and through an end of project impact workshop with local and regional stakeholders to identify key messages and priorities for action.This work was supported by the Newton Fund (UK Research and Innovation (UKRI) and the National Natural Science Foundation of China (NSFC)) under the UK-China AMR Partnership Initiative, grant number MR/P00756/1. RMK, CC, MH and IO all acknowledge support from the NIHR Health Protection Research Unit in Evaluation of Interventions at the University of Bristol.http://dx.doi.org/10.1136/bmjopen-2018-0278199pubpub

The Investigation of the Indoor Temperature During the Heat-Supplied Period and Its Influence in Winter in China

It is found that the heat-supplied temperature in winter is generally too high by investigating the heat-supplied samples in China. The excessively high temperature increases energy consumption, aggravates environmental pollution, and leads to frequent occurrence of diseases such as respiratory disease, cardiovascular and cerebrovascular disease. Therefore, it is suggested that the heat-supplied temperature should be controlled under 20°C