Joint Modeling of Citation Networks and User Preferences for Academic Tagging Recommender System

In the tag recommendation task on academic platforms,existing methods disregard users’customized preferences in favor of extracting tags based just on the content of the articles.Besides,it uses co-occurrence techniques and tries to combine nodes’textual content for modelling.They still do not,however,directly simulate many interactions in network learning.In order to address these issues,we present a novel system that more thoroughly integrates user preferences and citation networks into article labelling recommendations.Specifically,we first employ path similarity to quantify the degree of similarity between user labelling preferences and articles in the citation network.Then,the Commuting Matrix for massive node pair paths is used to improve computational performance.Finally,the two commonalities mentioned above are combined with the interaction paper labels based on the additivity of Poisson distribution.In addition,we also consider solving the model’s parameters by applying variational inference.Experimental results demonstrate that our suggested framework agrees and significantly outperforms the state-of-the-art baseline on two real datasets by efficiently merging the three relational data.Based on the Area Under Curve(AUC)and Mean Average Precision(MAP)analysis,the performance of the suggested task is evaluated,and it is demonstrated to have a greater solving efficiency than current techniques.

Tracking direct and indirect impact on technology and policy of transformative research via ego citation network

Purpose:The disseminating of academic knowledge to nonacademic audiences partly relies on the transition of subsequent citing papers.This study aims to investigate direct and indirect impact on technology and policy originating from transformative research based on ego citation network.Design/methodology/approach:Key Nobel Prize-winning publications(NPs)in fields of gene engineering and astrophysics are regarded as a proxy for transformative research.In this contribution,we introduce a network-structural indicator of citing patents to measure technological impact of a target article and use policy citations as a preliminary tool for policy impact.Findings:The results show that the impact on technology and policy of NPs are higher than that of their subsequent citation generations in gene engineering but not in astrophysics.Research limitations:The selection of Nobel Prizes is not balanced and the database used in this study,Dimensions,suffers from incompleteness and inaccuracy of citation links.Practical implications:Our findings provide useful clues to better understand the characteristics of transformative research in technological and policy impact.Originality/value:This study proposes a new framework to explore the direct and indirect impact on technology and policy originating from transformative research.

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.

Exploring the Relationship Between Patent Forward Citation and Stock Return Rate Using Empirical Data of China Stock Market

A novel indicator called price-citation was proposed.Based on the company integrated patent database of China listed companies of common stocks(A-shares)with the stock price and the stock return rate data,more than two thousand of A-shares from 2017 to 2020 were selected.The effect of the traditional patent forward citation and the price-citation for discriminating the stock return rate was thoroughly analyzed via ANOVA.The A-shares of forward citation counts above the average showed higher stock return rate means than the A-shares having patents but receiving no forward citations.The price-citation,combining both the financial and patent attributes,defined as the multiplication of the current stock price and the currently receiving forward citation count,showed its excellence in discriminating the stock return rate.The A-shares of higher price-citation showed significantly higher stock return rate means while the A-shares of lower price-citation showed significantly lowest stock return rate means.The price-citation effect had not been changed by COVID-19 though COVID-19 affected the social and economic environment to a considerable extent in 2020.

Research progress on chemical constituents and pharmacological activities of Amomum longiligulare T.L.Wu

In order to develop and utilize the tropical medicinal resource Amomum(A.)longiligulare T.L.Wu more reasonably and effectively,this paper summarizes the research progress in chemical constituents and pharmacological activities of A.longiligulare by consulting the literatures,so as to provide a certain theoretical basis for exploring its material basis.The chemical constituents of A.longiligulare mainly include volatile oil,diphenylheptane and flavonoids,which have good efficacy in anti-peptic ulcer,as well as antioxidant,analgesic and other pharmacological activities.This paper briefly discusses the reasons for the differences in the composition of volatile oil studied by different scholars.By summarizing its pharmacological activities,it is found that its various pharmacological activities may be the basis of its anti-peptic ulcer.

Empress Wu Zetian and the Development of Buddhism:Historical Significance and Contemporary Implications

The paper focuses on Wu Zetian,the only empress in China’s history,and her relationship with Buddhism.This study focuses on the book Zizhi Tongjian and compares the differences in the portrayal of Wu Zetian’s connection with Buddhism with the ancient texts of the Old Tang Book and the New Tang Book.It uses historical contextualism to analyze the epochal implications of these differences in the Northern Song Dynasty.Additionally,the paper discusses how historians downplayed or marginalized Wu Zetian’s achievements while emphasizing the negative aspects of her reign.Notably,historian Sima Guang,who was influenced by Confucianism and his own political situation,produced a biased description of Wu Zetian and the Buddhism which she promoted during her reign.

基础科学研究和应用技术研究对企业技术发展的影响与比较——以华为公司为例

企业技术发展主要体现在授权发明专利的年度变化。专利的引文主要包括论文引文和专利引文两部分,前者体现基础科学研究的影响,后者表征应用技术研究的贡献。本文融合论文共被引网络聚类、专利共被引网络聚类和论文-专利混合共被引网络聚类,构建基础研究-应用研究对技术发展的影响分析模型,检索下载华为公司在2010—2019年的美国授权发明专利,分析基础科学研究和应用技术研究的影响,将论文共被引网络聚类和专利共被引网络聚类映射到论文-专利混合共被引网络聚类中,并结合结构视角和演化视角进行分析。结果表明:①技术渐进式发展推动技术不断演化,部分科学融入技术,颠覆原技术演化轨迹;②仅从技术的角度看待技术发展,局部是片面或割裂的;③部分基础科学研究对技术发展起着变革、桥梁的作用。

科学数据引用网络建模及演化特征分析--以基因表达数据集为例

[目的/意义]将社会网络分析方法应用于科学数据引用特征及规律研究,可以直观呈现出数据引用的复杂网络结构,挖掘数据引用更深层次的价值。[方法/过程]通过辨析科学数据引用特征,构建GEO数据共被引网络模型,并对网络的整体演化、核心个体、社区结构等进行分析。[结果/结论]研究结果表明,GEO数据共被引网络的度和度分布空间差异明显,平均路径长度较短且聚集系数较大,网络中核心个体优势明显,社区结构稳定且特征突出,社区间联系逐渐增强。

“物色”作为中华感兴美学精神之光的灿烂显现

“物色”作为中华感兴美学理论的一个基本范畴,最初由刘勰提出。“物色”既是中华古典艺术审美“感物”“感兴”“比兴”得以发生的对象来源,又是古典艺术“意象”“气象”“意境”得以生成的重要基础。物色论是进入中国古典美学尤其是感兴美学研究的必经之路,但学界对物色论美学范畴的研究相对薄弱。“物色”美学范畴在中国美学史上形成了一个绵延不断的学术谱系。“物色”美学范畴的哲学基础是中国古代气论哲学和气感哲学。“物色”是宇宙元气和天地精神在自然物象之声色状貌光影中的感性闪耀,同时又是人的德性精神之光与自由精神之光的生动呈现。物色成为中华感兴美学精神之光的灿烂显现。物色论美学可与西方美学的自然美论、形式美论、审美感性论、灿烂感性论、存在境域论加以比较,亦可与德国古典美学精神和马克思主义美学精神相互发明。物色美学范畴因而具有重要的当代意义和普遍价值,值得展开系统研究和现代阐释。

引用评论证据视角下高水平论文遴选研究

论文作为科研成果的重要表现形式,在“破五唯”的大背景下,科学遴选高水平论文至关重要,是保障代表作评价工作落地的基本抓手。引用评论是学术共同体对论文价值最直接的认可,亦是学术评价的实质性关键证据,对其内容进行深入挖掘有助于更科学地发现高水平论文。首先,本文基于学术认同理论和证据特征阐释了模型构建的基本思想;其次,对基于内容语义的引用情感和引用功能进行重新界定和分类,并充分考虑“施引作者可信度”,构建高水平论文遴选综合加权模型;再其次,选取化学领域顶级刊物Angewandte Chemie-International Edition中的相关论文展开实证研究,结果表明,本文提出的模型可以较精准地筛选出“非常重要论文(very important paper,VIP)”;最后,与其他主流评价指标进行比较分析,证实了本文模型具有较高的区分度和鉴别度,在论文学术水平评价中具有显著优越性。

伍子胥治国理政思想述论

伍子胥不仅是春秋时期杰出的政治家、军事家,也是一位思想家,在治国理政方面提出了一系列的思想主张,包括顺应天道、和谐自然,德政为首、刑罚为辅,爱民安民、关爱民生,举贤与能、强调官德,发展经济、轻赋缓征,“从近制远”、破楚服越六个方面,并在吴国进行了具体实践,给社会、经济、军事各方面带来了深刻变化,从而为吴国参与争霸战争奠定了较为雄厚的物质基础。

“一带一路”共建国家间的技术扩散——基于技术内容与网络结构的分析

技术扩散是强化国际经济与创新联系的有效途径,是构建高质量开放创新体系的重要方式。国际技术扩散作为两个主体间的技术扩散活动具有方向性,不同国家的创新政策和技术发展战略侧重点不同,在技术扩散能力和技术吸收能力上均有差异。因而国家间需要构建高效、稳定的技术扩散网络,充分发挥自身的技术优势、补齐技术短板,进一步加大技术流动和增强创新能力。本研究基于技术扩散理论,运用专利引证数据构建“一带一路”共建国家间技术扩散网络,分时段纵向分析共建国家技术扩散网络的演化,分技术领域横向分析共建国家间技术扩散的特征,探索中国与共建国家间技术扩散的内容和路径。研究认为:中国在共建国家技术扩散网络中的核心地位逐步确立,且在“一带一路”倡议提出后中国的核心位置更加明显、技术扩散范围更加广泛;但整体技术扩散网络密度低,除中国外的其他国家间技术扩散关系构建较少;不同技术领域的技术扩散网络形态各有不同,其中化学技术领域的技术扩散最活跃、网络复杂度最高;俄罗斯在化学、机械工程、仪器、其他技术领域具有一定技术优势,并且对中国的技术扩散强度很大,而中国在电气工程技术领域更有技术扩散优势。

吴俊升与中国近代德育学的早期形塑

中国近代德育学的发展在“旧学新知”和“西学东渐”的双重驱动下,从传统学术逐渐向现代学术转变。作为近代德育学术史上的“预流”人物,吴俊升是较早追求中国德育学学科化、学术化、本土化之典型代表。其《教育哲学大纲》《德育原理》等教育哲学和德育学著作,权威性解读了杜威道德哲学思想,洞见式剖析了当时中国德育存在的问题,系统梳理了德育基本理论。吴俊升对探赜近代中国德育学学科、学术话语体系做出了重要贡献,可称得上近代德育学科独立形态的探索者、德育学术研究的引领者、德育话语系统的改造者。

基于文献计量学分析的全球食品追溯研究进展

食品追溯是确保食品质量与安全的重要手段,本文对2001—2022年科学引文索引数据库收录的食品追溯论文进行计量分析和可视化呈现,以便为国内食品追溯的进一步研究和开发提供参考。结果发现:全球共有80个国家/地区、1 136个研究机构、3 020名作者、255种期刊开展了食品追溯研究,跨国家/地区合作、多学科交叉融合频繁;中国、意大利、美国、西班牙、荷兰等表现出较大的研究体量与较强的合作关系,意大利、美国、荷兰、西班牙食品追溯研究的总体质量较高,研究领域集中在食品科学技术、化学、农业、工程学上,在计算机科学、生态学与环境学、饮食与营养学领域也有较多研究成果。研究热点有食品质量与安全、食品供应链管理、原产地、追溯技术、食品鉴别与认证、支付意愿等。未来学术前沿将围绕基于工业4.0的智能食品追溯系统、以全基因组学和下一代测序技术为代表的食品真实性检测鉴别技术以及食品追溯系统主体参与动力、利益博弈和溢价支付的机制3个方面展开。

数据论文引用计量规律初探——基于中国数据期刊的案例研究

数据出版是一种创新数据共享形式。为更好地了解数据出版,本文通过文献综述和案例调研,构建了数据论文计量框架,遴选国内数据期刊《中国科学数据(中英文网络版)》和《全球变化数据学报(中英文)》,揭示两刊数据出版与数据共享情况。统计涵盖两刊论文指标(学科领域、团队规模、资金来源)、数据指标(数据来源、规格与规模、数据曝光)、引证指标(被引、施引、时间)等30余个特征项。结果显示,宏观趋势方面,数据出版成为数据共享的重要途径,并在规范数据质量、汇聚特色主题数据、推进团队合作、争取资金支持等方面具有优势。中观运营层面,国家数据中心为数据出版提供平台保障。微观资源层面,出版数据集兼具学科差异性和跨域共性治理需求。其中,数据曝光、访问引用转化率等指标,为数据可复用性测度提供线索。此外,独立数据出版在我国尚处发展上升期,建议加强数据文化建设、扩展运营模式、提升资源治理能力与平台建设水平,完善技术迭代与激励评价机制等。

科学论文向技术领域扩散的扩散速度与扩散效果研究

[目的/意义]科学论文向技术领域扩散对技术的创新发展发挥着重要作用,然而论文在技术领域的扩散速度参差不齐,扩散速度的快慢是否影响产生的扩散效果尚不清晰。[方法/过程]文章利用专利引用论文的引用关系,以1980—2009年Web of Science数据库的论文和1980—2020年USPTO数据库的授权专利作为核心数据集,通过论文被引速率和首次被引间隔测度论文向技术领域的扩散速度,通过扩散产生的技术影响强度和技术影响广度综合测度扩散效果,并添加被引间隔和被引速率的交互作用,分析论文扩散速度与扩散效果的关系。此外,选择被专利持续引用的论文作为研究对象,分析不同扩散时期的扩散速率与扩散效果的关系。[结果/结论]研究表明,论文整体扩散速率不断上升;扩散速率与技术影响强度和广度均呈现倒U形关系,被引间隔与技术影响强度和广度均呈现U形关系;被引间隔对扩散速率与扩散效果的关系具有显著调节作用。此外,在不同扩散时期,早期和中期的扩散速率与技术影响强度和广度呈现倒U形关系,而中后期扩散速率与技术影响强度和广度呈现U形关系。

基于力学参数解析黄土高原典型草地的土壤分离能力研究

为解析黄土高原地区典型草地土壤分离能力变化的力学机制,选择代表性的须根系和直根系草地作为研究对象,基于室内径流冲刷试验,估算了相对土壤分离能力(RSD),测定了土壤抗剪强度和根系抗拉力,并基于Wu氏模型估算了根系黏聚力(Cr)。结果表明,须根系草地的RSD较直根系草地显著低77.27%,而Cr较直根系草地高14.84%。直根系草地的Cr对RSD的表达效果优于根长密度,而须根系草地效果差异不明显。RSD与200 KPa正应力下抗剪强度(τ200)的相关性优于其他正压力。根土复合体中,Cr对土壤分离的效应强于τ200。通过根土复合体力学参数能够有效预测直根系草地的土壤分离能力,但对于须根系草地的预测还需进一步探究。研究结果可为黄土高原根系减蚀机理的完善提供参考。

英雄史诗与《诗经·商颂·殷武》

《诗经·商颂·殷武》是殷商的英雄史诗,此诗之旨意前人或谓颂扬成汤的功业,此乃误读误解,此诗所歌颂者为殷王武丁。《颂》诗多关乎舞容仪式,《殷武》亦然;《殷武》主要演绎歌颂殷王武丁步武殷之先王,所取得的“文治”业绩,而非所谓的征伐性质的武功;《殷武》歌颂的武丁之英雄功业包括:狩田辟地、招徕远民、誓戒(立法)、封邦建国、建设城邑宗庙以及实行明堂制度等。古代盛传的“巡守”礼制,也就是上古所谓的“王制”,或始于武丁之时;武丁时代尚属神权时代,所以诗中还强调英雄武丁的事业离不开神灵的护佑。

乌梅丸通过调控NLRP3炎症小体改善溃疡性结肠炎大鼠肠黏膜炎症反应及细胞焦亡

目的:研究乌梅丸通过调控NOD样受体热蛋白结构域3(NLRP3)炎症小体改善溃疡性结肠炎(UC)大鼠肠黏膜炎症反应及细胞焦亡的作用及机制。方法:选择雄性SD大鼠进行动物实验,采用2,4,6-三硝基苯磺酸灌肠的方式建立UC模型,造模后给予不同剂量乌梅丸灌胃,阴性对照(NC)-慢病毒(LV)或NLRP3-LV尾静脉注射。评价各组大鼠疾病活动指数(DAI),测量结肠长度,检测病理改变及组织病理评分、结肠组织IL-1β、IL-18含量及GSDMD-N、NLRP3、Cleaved caspase-1表达。结果:UC组大鼠结肠黏膜出现典型UC病理改变,DAI、组织病理评分、结肠组织IL-1β、IL-18含量及GSDMD-N、NLRP3、Cleaved caspase-1表达高于对照组,结肠长度短于对照组(P<0.05);不同浓度乌梅丸组大鼠结肠黏膜UC病理改变改善,DAI、组织病理评分、结肠组织IL-1β、IL-18含量及GSDMD-N、NLRP3、Cleaved caspase-1表达低于UC组,结肠长度长于UC组(P<0.05);高剂量乌梅丸灌胃同时注射LV,NLRP3-LV+UC+高剂量乌梅丸组大鼠结肠黏膜UC病理改变加重,DAI、组织病理评分、结肠组织IL-1β、IL-18含量及GSDMD-N、NLRP3、Cleaved caspase-1表达高于NC-LV+UC+高剂量乌梅丸组,结肠长度短于NC-LV+UC+高剂量乌梅丸组(P<0.05)。结论:乌梅丸通过抑制NLRP3炎症小体改善UC大鼠肠黏膜炎症反应及细胞焦亡。

吴文化元素在苏州地铁公共空间中的表达与应用

[目的]以城市地域文化传承为背景,探讨吴文化元素在苏州地铁公共空间中的融合与运用,总结吴文化元素在地铁公共空间的应用价值及策略。[方法]由吴文化兼收并蓄、崇文重教、柔中蓄劲、人巧天工等内涵出发,从典型性提炼、抽象化法则、文化符号重构三方面提出了吴文化元素的提取方法;利用案例分析法从设计说明、材料工艺、工艺施工及技术要求层面对苏州地铁出入口、站内公共艺术、车厢厢体吴文化元素的运用展开分析,详细介绍了吴文化建筑元素、园林元素、文化性格、餐饮文化、宗教信仰、语言文化、戏曲文化等方面对构建独特苏州地铁文化景观的具体做法。[结果及结论]通过吴文化元素提取的法则,建立吴文化符号设计系统、赋予吴文化符号功能及文化语义、运用现代设计手段实现传统文化在地铁公共空间转译传达,对传承城市文脉、塑造新时代城市精神,提升城市文化软实力具有推动意义。