Low-carbon development pathways for provincial-level thermal power plants in China by mid-century.

Phasing out thermal power plants is vital to combatting climate change. Less attention has been given to provincial-level thermal power plants, which are implementers of the policy of phasing out backward production capacity. To improve energy efficiency and reduce negative environmental impacts, this study proposes a bottom-up cost-optimal model to explore technology-oriented low-carbon development pathways for China's provincial-level thermal power plants.

[Opportunities, challenges and suggestions for the development of plastic degradation and recycling under the context of circular bioeconomy].

At present, the negative impact caused by white pollution has spread to all aspects of human society economy, ecosystem, and health, which causes severe challenges for developing the circular bioeconomy. As the largest plastic production and consumption country in the world, China has shouldered an important responsibility in plastic pollution control. In this context, this paper analyzed the relevant strategies of plastic degradation and recycling in the United States, Europe, Japan and China, measured the literature and patents in this field, analyzed the status quo of technology from the perspective of research and development trends, major countries, major institutions, and discussed the opportunities and challenges faced by the development of plastic degradation and recycling in China.

Extreme temperatures, mortality, and adaptation: Evidence from the county level in China.

Extreme temperatures are known to cause adverse health outcomes. Yet knowledge on the magnitude of this effect in developing countries is limited due to data availability and reliability issues. Collecting data for 2872 counties in China, we estimate the effects of daily temperatures on the monthly mortality rate.

Review on Eco-Environment Research in the Yellow River Basin: A Bibliometric Perspective.

The Yellow River Basin (YRB) is an important economic zone and ecological barrier in China. The analysis of its research characteristics and hotspots has been helpful to grasping the future research direction. This work carried out text mining and analysis on scientific papers related to eco-environment research in the YRB from English and Chinese publications.

Visual analysis of global research output of lymphedema based on bibliometrics.

Background: Globally, several generations of doctors in the field of lymphedema have created numerous publications. To date, no bibliometric analysis has been performed specifically on these publications. For the further promotion of research on lymphedema and to align with the international research frontiers, it is essential to understand the current state of Lymphedema research output.

Nursing Practice Combined with Scene Simulation Teaching Mode in Standardized Training and Teaching for Newly Recruited Nurses in Post Anesthesia Care Unit.

Background: To explore the application of nursing practice combined with scene simulation teaching mode in standardized training and teaching for newly recruited nurses in Post Anesthesia Care Unit (PACU) and its impact on their emergency response ability and competence.

Methods: From Jan 2019 to Jan 2020, a total of 120 PACU nurses with professional qualification certificates in West China Hospital Sichuan University, Chengdu, China were enrolled and randomized into group A (n=60) and group B (n=60). Conventional standardized PACU training and teaching was applied in group B, and nursing practice combined with scene simulation teaching mode was applied in group A.

Automatic machine learning based on native T1 mapping can identify myocardial fibrosis in patients with hypertrophic cardiomyopathy.

Objectives: To investigate the feasibility of automatic machine learning (autoML) based on native T1 mapping to predict late gadolinium enhancement (LGE) status in hypertrophic cardiomyopathy (HCM).

Methods: Ninety-one HCM patients and 44 healthy controls who underwent cardiovascular MRI were enrolled. The native T1 maps of HCM patients were classified as LGE ( +) or LGE (-) based on location-matched LGE images.

Erol Başar and the scientific revolution in nonlinear brain dynamics: A selective review.

Erol Başar was one of the most significant neuroscientists of the past century. Two main threads of thought guided Başar's scientific labor: i) the study of brain oscillations and ii) its marriage to basic principles of physics. These two threads provided him with the crucial element to introduce nonlinear random theory into brain research.

[Analysis and suggestions of current planning frameworks and the status of research on genetic technologies in China].

This article briefly introduces the strategic framework of genetic technology of Chinese government and Chinese Academy of Sciences, and the remarkable progress of genetic technology under this guidance. Using bibliometric and patent analysis methods, we reveal the current status of genetic technology research and development in China. China has made great achievements, both in terms of quantity and quality of academic publications, and quantity of patent applications.

Preliminary exploration of survival analysis using the OHDSI common data model: a case study of intrahepatic cholangiocarcinoma.

Background: Data heterogeneity is a common phenomenon related to the secondary use of electronic health records (EHR) data from different sources. The Observational Health Data Sciences and Informatics (OHDSI) Common Data Model (CDM) organizes healthcare data into standard data structures using concepts that are explicitly and formally specified through standard vocabularies, thereby facilitating large-scale analysis. The objective of this study is to design, develop, and evaluate generic survival analysis routines built using the OHDSI CDM.