2.Exploring the innovative talents training mode in new era.
Li MA ; Siyi SHEN ; Yuchun RAO
Chinese Journal of Biotechnology 2024;40(1):292-303
		                        		
		                        			
		                        			Innovation is an important way to promote economic development and social progress. Recent years have seen rapid development of biological sciences. In response to social demands and the needs for developing an innovative country, fostering innovative talents in the field of biosciences has become a significant initiative supported by national policies and the needs from talent market. Taking the innovative talent training mode implemented by Zhejiang Normal University in the field of biological sciences as an example, this paper comprehensively introduces several key aspects of the mode. This includes establishing a mentorship system as the foundation, carrying out curriculum reform through project competitions and practical platforms, and promoting synergy among industry, academia, and research in talent training. This training mode has achieved positive results in practice, promoting the training of outstanding innovative talents in biological science majors, and may facilitate the reform of talent training in similar majors.
		                        		
		                        		
		                        		
		                        			Humans
		                        			;
		                        		
		                        			Biological Science Disciplines
		                        			;
		                        		
		                        			Industry
		                        			;
		                        		
		                        			Policy
		                        			;
		                        		
		                        			Universities
		                        			
		                        		
		                        	
3.Researchers' Knowledge About the Ethical Norms of National Natural Science Foundation of China Funded Medical Research:Current Status and Suggestions.
Ke-Yu CHEN ; Hai-Hong ZHANG ; Xin-Qing ZHANG
Acta Academiae Medicinae Sinicae 2023;45(3):445-449
		                        		
		                        			
		                        			Objective To understand the current status of Chinese medical researchers' knowledge regarding the ethical norms of the research involving humans or laboratory animals,and provide reference for further improving the ethics review norms. Methods The questionnaire method was employed to survey the applicants for the 2019 projects supported by the Department of Medical Sciences,National Natural Science Foundation of China (NSFC) about their knowledge of ethical requirements.Furthermore,the ethical supervision of the NSFC and affiliations at the project application and implementation stages was analyzed. Results The survey showed that 29.9% medical researchers were familiar with NSFC's ethical requirements for research involving human or laboratory animals.During the project application stage,59.0% affiliations adopted the simplified review method.Regarding the ethical supervison,95.5% medical researchers believed that the affiliations should fulfill the ethical supervision obligations and take relevant measures during the project implementation period.In addition,55.0% medical researchers fully agreed to discuss with the review experts about the ethical issues involved in the project. Conclusions The NSFC should establish rules and regulations to improve institutional management responsibilities and institutionalize the training about research ethics to comprehensively strengthening the training.Taking the management of research project ethics as a starting point,the NSFC should form a multi-party linkage between project funding and management and establish an accountability mechanism for ethics management.Furthermore,the NSFC should double the endeavors at the review of ethical issues during expert review and process management and attach importance to the research,judgment,and prevention of ethical risks.
		                        		
		                        		
		                        		
		                        			Humans
		                        			;
		                        		
		                        			Foundations
		                        			;
		                        		
		                        			Biomedical Research
		                        			;
		                        		
		                        			China
		                        			;
		                        		
		                        			Natural Science Disciplines
		                        			
		                        		
		                        	
4.How data science and AI-based technologies impact genomics.
Singapore medical journal 2023;64(1):59-66
		                        		
		                        			
		                        			Advancements in high-throughput sequencing have yielded vast amounts of genomic data, which are studied using genome-wide association study (GWAS)/phenome-wide association study (PheWAS) methods to identify associations between the genotype and phenotype. The associated findings have contributed to pharmacogenomics and improved clinical decision support at the point of care in many healthcare systems. However, the accumulation of genomic data from sequencing and clinical data from electronic health records (EHRs) poses significant challenges for data scientists. Following the rise of artificial intelligence (AI) technology such as machine learning and deep learning, an increasing number of GWAS/PheWAS studies have successfully leveraged this technology to overcome the aforementioned challenges. In this review, we focus on the application of data science and AI technology in three areas, including risk prediction and identification of causal single-nucleotide polymorphisms, EHR-based phenotyping and CRISPR guide RNA design. Additionally, we highlight a few emerging AI technologies, such as transfer learning and multi-view learning, which will or have started to benefit genomic studies.
		                        		
		                        		
		                        		
		                        			Artificial Intelligence
		                        			;
		                        		
		                        			Data Science
		                        			;
		                        		
		                        			Genome-Wide Association Study
		                        			;
		                        		
		                        			Genomics
		                        			;
		                        		
		                        			Technology
		                        			
		                        		
		                        	
5.Selection and application of implementation strategies in implementation research.
Yan Yan HOU ; Bei Bei ZHU ; Fang Biao TAO
Chinese Journal of Preventive Medicine 2023;57(3):438-442
		                        		
		                        			
		                        			Implementation research is a discipline that attempts to promote the application of evidence-based interventions in different settings and populations by using various methods and measures. Implementation strategies are the central part of implementation research, and as the field of implementation science evolves, more and more implementation strategies have been developed to facilitate the application of evidence-based interventions in the real world. To help researchers better understand and apply implementation strategies, this study will introduce implementation strategies in three aspects: classification, selection and application, and report.
		                        		
		                        		
		                        		
		                        			Humans
		                        			;
		                        		
		                        			Implementation Science
		                        			
		                        		
		                        	
6.Interdisciplinary teaching-assisted education reform in "Principal Biology".
Lichao SUN ; Xiaoyan MA ; Zhenya CHEN ; Qin ZOU ; Yixin HUO
Chinese Journal of Biotechnology 2023;39(11):4718-4729
		                        		
		                        			
		                        			General education in biological courses such as "Principal Biology" is an essential avenue for gaining an understanding of life science and developing an interest in the field. The reform of biological education teaching mode based on interdisciplinary approaches aims to foster cross-disciplinary talents, which is crucial for the rapid development of China's bioeconomy. Teaching method that simply superimposes different subjects is difficult to discover the value of interdisciplinary education. To address this, a novel teaching system and an innovative teaching mode were proposed for "Principal Biology" course by integrating science and engineering subjects, based on the cross-disciplinary feature in Beijing Institute of Technology. The system involves the design of cross-disciplinary course content and the integration of multiple disciplines and knowledge points based on students' majors, taking into account the characteristics of students' physical and mental development. To improve students' scientific literacy and interdisciplinary thinking ability, differentiated and major-driven teaching modes were applied by incorporating the "1+N" mixed and immersive cross-thinking training. The effectiveness of tailored cross-disciplinary teaching was evaluated using "in-teaching" and "post-teaching" data feedback models, which promote the optimization of teaching process and enhance the quality of education in cross-disciplinary biological science.
		                        		
		                        		
		                        		
		                        			Humans
		                        			;
		                        		
		                        			Students
		                        			;
		                        		
		                        			Curriculum
		                        			;
		                        		
		                        			Biological Science Disciplines/education*
		                        			;
		                        		
		                        			Universities
		                        			;
		                        		
		                        			Biology/education*
		                        			
		                        		
		                        	
9.Analysis of project funding in occupational Health and Epidemiology of National Natural Science Foundation of China from 2008 to 2019.
Xin LIANG ; Qing GU ; Qiang ZENG
Chinese Journal of Industrial Hygiene and Occupational Diseases 2022;40(11):832-836
		                        		
		                        			
		                        			Objective: To analysis the projects funded by the National Natural Science Foundation of China in the fields of occupational health (code H2602) and occupational diseases (code H2402) from 2008 to 2019, to provide a reference for the project application of scientific researchers in the field of occupational diseases in China. Methods: In October 2021, the information of all National Natural Science Foundation projects in the field of occupational health and occupational diseases from 2008 to 2019 was collected through LetPub website. It mainly analyzes the types of funded projects, the types of supporting units, the occupational disease hazard factors of the funded projects, the types of occupational injuries and representative research directions. Results: From 2008 to 2019, the National Natural Science Foundation of China funded a total of 282 projects in the field of occupational health and occupational diseases, with a total funding of 113.902 million yuan. Among them, 138 projects (48.94%) were funded, 96 (34.04%) were funded by youth science funds, and 35 projects (12.41%) were funded by regional science funds. 31 (79.93%) funded projects relied on the type of institutions of higher learning, 126 (46.84%) occupational disease hazard factors were chemical factors, and 83 (30.86%) occupational damage types were lung injury and pulmonary fibrosis. Epigenetic regulation is the most important representative research direction of the funded projects. Conclusion: The National Natural Science Foundation of China (NSFC) project funding in the field of occupational health and occupational diseases in China has maintained a stable trend, but there are still problems such as incomplete funding system and late start of some research directions.
		                        		
		                        		
		                        		
		                        			Adolescent
		                        			;
		                        		
		                        			Humans
		                        			;
		                        		
		                        			Foundations
		                        			;
		                        		
		                        			Occupational Health
		                        			;
		                        		
		                        			Epigenesis, Genetic
		                        			;
		                        		
		                        			Natural Science Disciplines
		                        			;
		                        		
		                        			Occupational Diseases/epidemiology*
		                        			;
		                        		
		                        			China
		                        			
		                        		
		                        	
10.Basic strategy of acupuncture translational medicine research: acupuncture prevention and treatment of asthma as an example.
Chinese Acupuncture & Moxibustion 2022;42(12):1327-1330
		                        		
		                        			
		                        			To expound the basic strategies of translational medicine research based on clinical effect and scientific problems of acupuncture and moxibustion, and discuss the specific research ideas and methods of acupuncture translational medicine by taking acupuncture prevention and treatment of asthma as an example. The overall strategy of acupuncture translational medicine is to determine the effect of acupuncture first, then clarify the mechanism of acupuncture and transform the results into clinical practice. On the one hand, it is necessary to improve the objectivity and recognition of acupoints in experimental animals, and to realize the limitations and possible bias of animal experimental results; on the other hand, we should adhere to help and promote multidisciplinary research on the role of acupuncture.
		                        		
		                        		
		                        		
		                        			Translational Science, Biomedical
		                        			
		                        		
		                        	
            

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