Characterizing structure of cross-disciplinary impact of global disciplines:A perspective of the Hierarchy of Science

Purpose:Interdisciplinary fields have become the driving force of modern science and a significant source of scientific innovation.However,there is still a paucity of analysis about the essential characteristics of disciplines’cross-disciplinary impact.Design/methodology/approach:In this study,we define cross-disciplinary impact on one discipline as its impact to other disciplines,and refer to a three-dimensional framework of variety-balance-disparity to characterize the structure of cross-disciplinary impact.The variety of cross-disciplinary impact of the discipline was defined as the proportion of the high cross-disciplinary impact publications,and the balance and disparity of cross-disciplinary impact were measured as well.To demonstrate the cross-disciplinary impact of the disciplines in science,we chose Microsoft Academic Graph(MAG)as the data source,and investigated the relationship between disciplines’cross-disciplinary impact and their positions in the Hierarchy of Science(HOS).Findings:Analytical results show that there is a significant correlation between the ranking of cross-disciplinary impact and the HOS structure,and that the discipline exerts a greater cross-disciplinary impact on its neighboring disciplines.Several bibliometric features that measure the hardness of a discipline,including the number of references,the number of cited disciplines,the citation distribution,and the Price index have a significant positive effect on the variety of cross-disciplinary impact.The number of references,the number of cited disciplines,and the citation distribution have significant positive and negative effects on balance and disparity,respectively.It is concluded that the less hard the discipline,the greater the cross-disciplinary impact,the higher balance and the lower disparity of cross-disciplinary impact.Research limitations:In the empirical analysis of HOS,we only included five broad disciplines.This study also has some biases caused by the data source and applied regression models.Practical implications:This study contributes to the formulation of discipline-specific policies and promotes the growth of interdisciplinary research,as well as offering fresh insights for predicting the cross-disciplinary impact of disciplines.Originality/value:This study provides a new perspective to properly understand the mechanisms of cross-disciplinary impact and disciplinary integration.

Bird specimen number linked with species trait and climate niche breadth

Biological specimens are fundamental for taxonomy and flora/fauna research.More importantly,they also play crucial roles in recording environmental impacts on morphology and behavior,which is vital for biodiversity research and conservation.However,there are few systematic studies on the patterns and drivers of bird specimen number at regional scales.This study is the first attempt to examine the relationships between bird specimen number and species traits as well as climate niche breadth in China,aiming to answer two questions:1)how do species’temperature niche breadth and precipitation niche breadth influence specimen number?2)which trait is most associated with bird specimen number?The associations between bird specimen number and explanatory variables were examined using ordinary least squares,generalized linear models,phylogenetic generalized linear mixed models,and multiple comparisons.The results showed that Muscicapidae was the family with the highest specimen number,and Passeriformes was the order with the highest specimen number.Bird specimen number significantly increased with larger temperature niche breadth and precipitation niche breadth.Specimen number was also positively associated with geographic range size,habitat specificity,hunting vulnerability and clutch size,but negatively associated with body size.These findings suggest that future bird specimen collection should pay more attention to birds with limited ecological niches,large body sizes,and small clutch sizes.This research enhances the use of bird specimen data to study and preserve biodiversity.

Challenges and opportunities for battery health estimation:Bridging laboratory research and real-world applications

Addressing climate change demands a significant shift away from fossil fuels,with sectors like electricity and transportation relying heavily on renewable energy.Integral to this transition are energy storage systems,notably lithium-ion batteries.Over time,these batteries degrade,affecting their efficiency and posing safety risks.Monitoring and predicting battery aging is essential,especially estimating its state of health(SOH).Various SOH estimation methods exist,from traditional model-based approaches to machine learning approaches.

SciCN:A Scientific Dataset for Chinese Named Entity Recognition

Named entity recognition(NER)is a fundamental task of information extraction(IE),and it has attracted considerable research attention in recent years.The abundant annotated English NER datasets have significantly promoted the NER research in the English field.By contrast,much fewer efforts are made to the Chinese NER research,especially in the scientific domain,due to the scarcity of Chinese NER datasets.To alleviate this problem,we present aChinese scientificNER dataset–SciCN,which contains entity annotations of titles and abstracts derived from 3,500 scientific papers.We manually annotate a total of 62,059 entities,and these entities are classified into six types.Compared to English scientific NER datasets,SciCN has a larger scale and is more diverse,for it not only contains more paper abstracts but these abstracts are derived from more research fields.To investigate the properties of SciCN and provide baselines for future research,we adapt a number of previous state-of-theart Chinese NER models to evaluate SciCN.Experimental results show that SciCN is more challenging than other Chinese NER datasets.In addition,previous studies have proven the effectiveness of using lexicons to enhance Chinese NER models.Motivated by this fact,we provide a scientific domain-specific lexicon.Validation results demonstrate that our lexicon delivers better performance gains than lexicons of other domains.We hope that the SciCN dataset and the lexicon will enable us to benchmark the NER task regarding the Chinese scientific domain and make progress for future research.The dataset and lexicon are available at:https://github.com/yangjingla/SciCN.git.

Research funding and citations in papers of Nobel Laureates in Physics, Chemistry and Medicine, 2019-2020

Purpose:The goal of this study is a comparative analysis of the relation between funding(a main driver for scientific research)and citations in papers of Nobel Laureates in physics,chemistry and medicine over 2019-2020 and the same relation in these research fields as a whole.Design/methodology/approach:This study utilizes a power law model to explore the relationship between research funding and citations of related papers.The study here analyzes 3,539 recorded documents by Nobel Laureates in physics,chemistry and medicine and a broader dataset of 183,016 documents related to the fields of physics,medicine,and chemistry recorded in the Web of Science database.Findings:Results reveal that in chemistry and medicine,funded researches published in papers of Nobel Laureates have higher citations than unfunded studies published in articles;vice versa high citations of Nobel Laureates in physics are for unfunded studies published in papers.Instead,when overall data of publications and citations in physics,chemistry and medicine are analyzed,all papers based on funded researches show higher citations than unfunded ones.Originality/value:Results clarify the driving role of research funding for science diffusion that are systematized in general properties:a)articles concerning funded researches receive more citations than(un)funded studies published in papers of physics,chemistry and medicine sciences,generating a high Matthew effect(a higher growth of citations with the increase in the number of papers);b)research funding increases the citations of articles in fields oriented to applied research(e.g.,chemistry and medicine)more than fields oriented towards basic research(e.g.,physics).Practical implications:The results here explain some characteristics of scientific development and diffusion,highlighting the critical role of research funding in fostering citations and the expansion of scientific knowledge.This finding can support decision-making of policymakers and R&D managers to improve the effectiveness in allocating financial resources in science policies to generate a higher positive scientific and societal impact.

Scientific Data Intellectual Property Research by Literature Statistics

The main obstacle to the open sharing of scientific data is the lack of a legal protection system for intellectual property.This article analyzes the progress of research papers on intellectual property in scientific data in China through literature search and statistics.Currently,research subjects are unbalanced,research content is uneven,research methods are intellectual single,and research depth is insufficient.It is recommended that different stakeholders engage in deep cross disciplinary cooperation,further improve China’s legal and policy protection system for scientific data intellectual property,and promote the open sharing of scientific data.

Application of Academic Salons in Cultivating the Scientific Research Skills of First-Year Nursing Master’s Students

Objective:To explore the application effect of academic salons on developing the scientific research skills of first-year nursing master’s students.Methods:According to Wallas’four-stage model of the creative process,from November 2022 to February 2023,66 first-year nursing master’s students from the School of Nursing at Zhejiang Chinese Medical University were selected using a convenient sampling method to participate in a multidisciplinary academic salon consisting of a total of 8 sessions held once every two weeks.Before the first and after the last academic salon,postgraduate research skills evaluation questionnaires and perception of research skills acquisition questionnaires were used to assess first-year nursing master’s students.A semi-structured interview was conducted with nine students after the final academic salon.Results:The total scores for scientific research skills and sense of achievement among first-year nursing master’s students after the academic salon were higher than those before the salon,and the difference was statistically significant.The interview results showed that the“salon theme,”“tutor comments,”and“sharer output”are the focus of the first-year nursing master’s students in the academic salon.Conclusions:Academic salons can enhance postgraduate students’scientific research skills and foster a greater appreciation for scientific research.We can enhance academic salons by carefully choosing relevant themes,inviting knowledgeable presenters and expert tutors to provide feedback,and prioritizing equality and effective communication.

省级疾病预防控制机构青年人才培养模式探究:以“青耕计划”为例

目的分析上海市疾病预防控制中心青年人才培养项目的实施现状与成效,提出切实可行的人才培养优化策略,以期进一步提升疾病预防控制人才培养能力,构建合理的人才梯队,激发科研活力。方法对上海市疾病预防控制中心获“青耕计划”资助的2批次共67名培养对象进行问卷调查,分析相关投入、产出情况及培养对象对该培养项目的意见建议等。结果“青耕计划”培养对象所在部门对其项目实施提供的支持和帮助很大。67名培养对象在培养期间共撰写中文论文74篇,中位数为1篇,共撰写英文论文14篇。共申报课题45次,获批课题共9项。共参加科普宣讲93次,撰写科普文章67篇,中位数为1篇。53.85%的培养对象确立了今后的研究方向,44.62%的培养对象明确了自己的职业规划,培养对象认为其业务能力和科研能力均有较大提升。结论作为青年人才的“第一桶金”,“青耕计划”对提升科研素养、熟悉科研流程、助力业务工作等方面均起到了很好的效果,建议从培养周期、支持力度、培训交流、导师遴选、资源共享、考核激励机制等方面对该人才培养计划进一步优化。

公共卫生医师规范化培训中科研能力培养的上海实践与探索

公共卫生医师是公共卫生事业的核心力量,其能力决定了能否顺利且高质量地推进公共卫生服务,并最终影响人群健康。科研能力是公共卫生医师岗位胜任力的重要要素之一。上海市于2018年正式启动疾病预防控制机构公共卫生医师规范化培训工作。由公共卫生研究设计及应用教学组负责公共卫生医师规范化培训学员的科研能力培养工作。上海市在公共卫生医师规范化培训学员科研能力培养的实践过程中,构建了一套覆盖组织管理体系建设、师资队伍建设、培训模式建设的可复制、可操作的体系,培训模式注重科研伦理、文献检索、科研选题、研究设计、科研写作5大科研能力提升,同时以“1+1+3”(1篇综述、1次开题报告、3次汇报)为抓手突出教学重点,可以为其他尚未开展或即将开展公共卫生医师规范化培训的省(自治区、直辖市)或地区提供参考和借鉴的范式。针对既往科研能力培养的“痛点”,上海市落实了政策及资金支持,构建了覆盖科研全流程、重点突出的培养方案,为参培学员提供必要的科研指导和个性化反馈。后续,建议上海市进一步细化培养方案,推进差异化、个性化培养;落实师资考核,提升教学质量和效果;优化考核评价,追踪科研产出;遴选科研苗子,探索与高级别项目贯通;开展教学总结,促进教学更新。

Evaluation of the oil and gas preservation conditions, source rocks, and hydrocarbongenerating potential of the Qiangtang Basin: New evidence from the scientific drilling project

The Qiangtang Basin of the Tibetan Plateau,located in the eastern Tethys tectonic domain,is the largest new marine petroliferous region for exploration in China.The scientific drilling project consisting primarily of well QK-1 and its supporting shallow boreholes for geological surveys(also referred to as the Project)completed in recent years contributes to a series of new discoveries and insights into the oil and gas preservation conditions and source rock evaluation of the Qiangtang Basin.These findings differ from previous views that the Qiangtang Basin has poor oil and gas preservation conditions and lacks high-quality source rocks.As revealed by well QK-1 and its supporting shallow boreholes in the Project,the Qiangtang Basin hosts two sets of high-quality regional seals,namely an anhydrite layer in the Quemo Co Formation and the gypsum-bearing mudstones in the Xiali Formation.Moreover,the Qiangtang Basin has favorable oil and gas preservation conditions,as verified by the comprehensive study of the sealing capacity of seals,basin structure,tectonic uplift,magmatic activity,and groundwater motion.Furthermore,the shallow boreholes have also revealed that the Qiangtang Basin has high-quality hydrocarbon source rocks in the Upper Triassic Bagong Formation,which are thick and widely distributed according to the geological and geophysical data.In addition,the petroleum geological conditions,such as the type,abundance,and thermal evolution of organic matter,indicate that the Qiangtang Basin has great hydrocarbon-generating potential.

作价入股推进医院科技成果转化的探讨

以上海的医院为例,通过梳理医院科技成果转化作价入股的政策和现状,剖析当前实施中存在的主要困难,并提出相应的应对策略,以期打通医院作价入股实施科技成果转化的链路,助力实现创新驱动发展战略的实行。

数字化转型下医工交叉型工程技术研究中心科研管理实践

聚焦“以数字技术为支撑”的医工交叉型工程技术研究中心,以“上海结构性心脏病虚拟现实工程技术研究中心”为例,从“组织结构、合作模式、成果转化、管理成效”等方面探讨数字化转型下其科研管理的实践。研究表明,优化组织结构、深化合作模式、完善成果转化机制,有助于提升医工交叉型工程技术研究中心科研管理效能、强化科研综合水平。

Cultivation Path of Nursing Undergraduates’ Scientific Research and Innovation Ability

Objective:The cultivation of the innovation ability and scientific research is one of the nursing learning objectives for undergraduate students.To explore the method and effect of training system of scientific research innovation ability of nursing undergraduates based on“3332”.Methods:Three course learning modules are constructed:stage-based course learning module,systematic project practice training module and comprehensive practice training module.A practical training platform for scientific research innovation projects is built,and undergraduate scientific research innovation ability training is carried out from both in-class and out-of-class lines.Results:Since 2017,the students have obtained 7 national innovation and entrepreneurship training programs,52 university-level undergraduate scientific research projects,published more than 10 academic papers,and obtained 2 patent authorization.Conclusions:The training system of scientific research innovation ability of nursing undergraduates based on“3332”is conducive to the development of scientific research innovation ability of nursing students,and to cultivate nursing talents who can adapt to the development of the new era and have better post competence.

Scientific Hepatectomy for Hepatocellular Carcinoma

With advances in imaging technology and surgical instruments,hepatectomy can be perfectly performed with technical precision for hepatocellular carcinoma(HCC).However,the 5-year tumor recurrence rates remain greater than 70%.Thus,the strategy for hepatectomy needs to be reappraised based on insights of scientific advances.Scientific evidence has suggested that the main causes of recurrence after hepatectomy for HCC are mainly related to underlying cirrhosis and the vascular spread of tumor cells that basically cannot be eradicated by hepatectomy.Liver transplantation and systemic therapy could be the solution to prevent postoperative recurrence in this regard.Therefore,determining the severity of liver cirrhosis for choosing the appropriate surgical modality,such as liver transplantation or hepatectomy,for HCC and integrating newly emerging immune-related adjuvant and/or neoadjuvant therapy into the strategy of hepatectomy for HCC have become new aspects of exploration to optimize the strategy of hepatectomy.In this new area,hepatectomy for HCC has evolved from a pure technical concept emphasizing anatomic resection into a scientific concept embracing technical considerations and scientific advances in underlying liver cirrhosis,vascular invasion,and systemic therapy.By introducing the concept of scientific hepatectomy,the indications,timing,and surgical techniques of hepatectomy will be further scientifically optimized for individual patients,and recurrence rates will be decreased and long-term survival will be further prolonged.

Editorial board publication strategy and acceptance rates in Turkish national journals

Purpose: This study takes advantage of newly released journal metrics to investigate whether local journals with more qualified boards have lower acceptance rates, based on data from 219 Turkish national journals and 2,367 editorial board members.Design/methodology/approach: This study argues that journal editors can signal their scholarly quality by publishing in reputable journals. Conversely, editors publishing inside articles in affiliated national journals would send negative signals. The research predicts that high(low) quality editorial boards will conduct more(less) selective evaluation and their journals will have lower(higher) acceptance rates. Based on the publication strategy of editors, four measures of board quality are defined: Number of board inside publications per editor(INSIDER), number of board Social Sciences Citation Index publications per editor(SSCI), inside-to-SSCI article ratio(ISRA), and board citation per editor(CITATION). Predictions are tested by correlation and regression analysis.Findings: Low-quality board proxies(INSIDER, ISRA) are positively, and high-quality board proxies(SSCI, CITATION) are negatively associated with acceptance rates. Further, we find that receiving a larger number of submissions, greater women representation on boards, and Web of Science and Scopus(WOSS) coverage are associated with lower acceptance rates. Acceptance rates for journals range from 12% to 91%, with an average of 54% and a median of 53%. Law journals have significantly higher average acceptance rate(68%) than other journals, while WOSS journals have the lowest(43%). Findings indicate some of the highest acceptance rates in Social Sciences literature, including competitive Business and Economics journals that traditionally have low acceptance rates. Limitations: Research relies on local context to define publication strategy of editors. Findings may not be generalizable to mainstream journals and core science countries where emphasis on research quality is stronger and editorial selection is based on scientific merit.Practical implications: Results offer useful insights into editorial management of national journals and allow us to make sense of local editorial practices. The importance of scientific merit for selection to national journal editorial boards is particularly highlighted for sound editorial evaluation of submitted manuscripts.Originality/value: This is the first attempt to document a significant relation between acceptance rates and editorial board publication behavior.

U.Taxonstand:An R package for standardizing scientific names of plants and animals

The scientific names of organisms are key identifiers of plants and animals.Correctly treating scientific names is a prerequisite for biodiversity research and documentation.Here,we present an R package,’U.Taxonstand’,which can standardize and harmonize scientific names in plant and animal species lists at a fast speed and at a high rate of matching success.Unlike most of other similar R packages each of which works with only one taxonomic database,U.Taxonstand can work with all taxonomic databases,as long as they are properly formatted.Multiple databases for plants and animals that can be directly used by U.Taxonstand,which include bryophytes,vascular plants,amphibians,birds,fishes,mammals,and reptiles,are available online.U.Taxonstand can be a very useful tool for botanists,zoologists,ecologists and biogeographers to standardize and harmonize scientific names of organisms.

载人潜水器支持母船水下辐射噪声评估和试验分析研究

This study investigates the underwater radiated noise(URN)of a manned submersible support mother ship.To this end,a detailed finite element model of the hull and outflow field is established,and the vibration wet mode of the scientific research ship is calculated.A combination of finite element and boundary element methods is used to analyze the spectral features of ship low-frequency URN.The URN source is comprehensively analyzed,the vibration energy is considered the basic parameter to describe the vibration,and the medium-and high-frequency URN of the ship are calculated using the statistical energy analysis.To obtain the full frequency-band URN of the ship,the risk position of exceeding the standard is determined,and the contribution of each main noise source in the ship to the URN is analyzed.The URN level of the ship is comprehensively measured in the free navigation state.The accuracy of the URN control evaluation model,and the method of the ship are verified.The data support for the ship to apply for the classification society certificate provides a scheme reference for the URN control of other scientific research ship in the future.

International visibility of Armenian domestic journals:the role of scientific diaspora

Purpose:Nearly 122 scientific journals are currently being published in Armenia-of which only six are indexed by WoS and/or Scopus databases.The majority of the national journals are published in the Armenian language,solely possessing abstracts written in English,although there are also English-language and multi-language journals with articles not only in Armenian but also in other foreign languages.The aim of this article is to study the visibility of the(non-indexed)national Armenian journals in the WoS database through citation analysis.In consideration of the existence of a relevant Armenian“diaspora”in the world,this article also attempts to estimate its impact in terms of citation statistics.Design/methodology/approach:For this end,we have identified citations to the national/domestic Armenian journals in the WoS database in comparison with the share of citations received from“diaspora”researchers(researchers of Armenian origin born in foreign countries and those originally from Armenia who have emigrated to foreign countries).Findings:Among the 116 Armenian domestic journals analyzed(not indexed by WoS),only 47 were found to be cited in WoS.Of these journals,almost 12%are citations by“diaspora”researchers,most of which concern Social Science and Humanities journals.Research limitations:Although the surnames of Armenians end with-i(y)an,sometimes,the Diaspora Armenians,surnames are changed or modified or they are not ending with-i(y)an,in this case we may fail to identify them.Practical implications:This study can help to build new,more deep and comprehensive relations with scientific diasporas.Originality/value:This study offers a new understanding of multifaced research collaboration with scientific diasporas and their role in internationalization of domestic journals.

Dynamics of the inner electron radiation belt:A review

The Van Allen radiation belts are an extraordinary science discovery in the Earth magnetosphere and consist of two electron belts.The inner Van Allen belt contains electrons of 10s to 100s keV;the outer belt consists mainly of 0.1-10 MeV electrons.Their dynamics have been analyzed for decades.The newly-launched Van Allen Probes provide unprecedented opportunities to investigate the inner belt more thoroughly.Data from this advanced mission have allowed scientists to demonstrate that the inner belt was formed not only through inward transport of outer belt electrons but Cosmic Ray Albedo Neutron Decay(CRAND)has also played an important role.In addition,the inner belt electrons show energy-dependent variations and present“zebra stripe”structures in the energy spectrum.At the same time,scientists have further confirmed that the electrons in the inner radiation belt get lost through coulomb collision and wave-particle interaction.Despite these advances,important questions remain unanswered and require further investigation.The launch of Macao Science Satellite-1 mission,with its low inclination angle and low altitude orbit,will provide advanced radiation belt data for better understanding of the structure and dynamics of the inner electron radiation belt.

The coupled deep neural networks for coupling of the Stokes and Darcy–Forchheimer problems

We present an efficient deep learning method called coupled deep neural networks(CDNNs) for coupling of the Stokes and Darcy–Forchheimer problems. Our method compiles the interface conditions of the coupled problems into the networks properly and can be served as an efficient alternative to the complex coupled problems. To impose energy conservation constraints, the CDNNs utilize simple fully connected layers and a custom loss function to perform the model training process as well as the physical property of the exact solution. The approach can be beneficial for the following reasons: Firstly, we sample randomly and only input spatial coordinates without being restricted by the nature of samples.Secondly, our method is meshfree, which makes it more efficient than the traditional methods. Finally, the method is parallel and can solve multiple variables independently at the same time. We present the theoretical results to guarantee the convergence of the loss function and the convergence of the neural networks to the exact solution. Some numerical experiments are performed and discussed to demonstrate performance of the proposed method.