In this paper,we first generalize the constant dimension and orbit codes over finite fields to the constant rank and orbit codes over finite chain rings.Then we provide a relationship between constant rank codes over ...In this paper,we first generalize the constant dimension and orbit codes over finite fields to the constant rank and orbit codes over finite chain rings.Then we provide a relationship between constant rank codes over finite chain rings and constant dimension codes over the residue fields.In particular,we prove that an orbit submodule code over a finite chain ring is a constant rank code.Finally,for special finite chain ring F_(q)+γF_(q),we define a Gray mapφfrom(F_(q)+γF_(q))^(n)to F^(2n)_(q),and by using cyclic codes over F_(q)+γF_(q),we obtain a method of constructing an optimum distance constant dimension code over F_(q).展开更多
Steroidal alkaloids are the main active components in many medicinal plants and exhibit diverse biological activities.Axillaridine A(AA)is a newly discovered steroidal alkaloid.However,whether AA could suppress osteoc...Steroidal alkaloids are the main active components in many medicinal plants and exhibit diverse biological activities.Axillaridine A(AA)is a newly discovered steroidal alkaloid.However,whether AA could suppress osteoclastogenesis and alleviate ovariectomy-induced bone loss in mice remains unknown.In vitro,AA significantly suppressed the receptor activator of nuclear factor-κB(NF-κB)ligand(RANKL)-induced osteoclast differentiation via downregulating the expression of osteoclastogenesis-related marker genes,proteins,and transcriptional regulators,including tartrate-resistant acid phosphatase(TRAP),c-Src,matrix metallopeptidase-9(MMP-9),cathepsin K,nuclear factor of activated T cells,cytoplasmic 1(NFATc1),and c-Fos.This was achieved by blocking RANKL-RANK interaction and inhibiting RANKL-mediated RANK signaling pathways,including NF-κB,AKT,and mitogen-activated protein kinases(MAPKs)in osteoclast precursors.In vivo,AA significantly inhibited the ovariectomized(OVX)-induced body weight gain and blood glucose increase in mice.AA did not adversely affect the histomorphologies,weights,and indices of the kidney and liver in OVX mice.AA effectively ameliorated bone loss in OVX mice by inhibiting osteoclastogenesis.AA significantly inhibited the serum levels of tartrate-resistant acid phosphatase 5b(TRACP-5b)and C-telopeptide of type I collagen(CTX-I).AA significantly inhibited the OVX-induced expression of osteoclastogenesis-related marker genes and proteins in the femur.In summary,AA alleviates ovariectomy-induced bone loss in mice by suppressing osteoclastogenesis via inhibition of RANKL-mediated RANK signaling pathways and could be potentially used for the prevention and treatment of osteoclastrelated diseases such as osteoporosis.展开更多
骨质疏松症由于其严重的致病后果同时较高的发病率已经成为我国老年人的头号健康潜在威胁,而OPG/RANK/RANKL信号通路主要通过影响破骨细胞分化成熟,从而在骨质疏松症的发病机制中占据了重要地位,是许多抗骨质疏松药品开发的重要研究靶...骨质疏松症由于其严重的致病后果同时较高的发病率已经成为我国老年人的头号健康潜在威胁,而OPG/RANK/RANKL信号通路主要通过影响破骨细胞分化成熟,从而在骨质疏松症的发病机制中占据了重要地位,是许多抗骨质疏松药品开发的重要研究靶点之一。为了探究OPG/RANK/RANKL信号通路在骨质疏松症中的作用机制及中医药干预现状和进展,通过CNKI、WANFANG DATE、中华医学期刊全文数据库、Web of Science、Pub Med数据库,以骨质疏松症、OPG/RANK/RANKL、中药和中药方剂为关键词检索近10年相关文献报道,结果显示许多中药及其有效成分和中药方剂都可通过调控OPG/RANK/RANKL信号通路抑制破骨细胞,改善骨质疏松症,增加骨强度,提示中药及其有效成分和中药方剂能有效防治骨质疏松症,同时在药物研发方面具有极大的潜力和应用前景。展开更多
Purpose:Citation-based assessments of countries’research capabilities often misrepresent their ability to achieve breakthrough advancements.These assessments commonly classify Japan as a developing country,which cont...Purpose:Citation-based assessments of countries’research capabilities often misrepresent their ability to achieve breakthrough advancements.These assessments commonly classify Japan as a developing country,which contradicts its prominent scientific standing.The purpose of this study is to investigate the underlying causes of such inaccurate assessments and to propose methods for conducting more reliable evaluations.Design/methodology/approach:The study evaluates the effectiveness of top-percentile citation metrics as indicators of breakthrough research.Using case studies of selected countries and research topics,the study examines how deviations from lognormal citation distributions impact the accuracy of these percentile indicators.A similar analysis is conducted using university data from the Leiden Ranking to investigate citation distribution deviations at the institutional level.Findings:The study finds that inflated lower tails in citation distributions lead to undervaluation of research capabilities in advanced technological countries,as captured by some percentile indicators.Conversely,research-intensive universities exhibit the opposite trend:a reduced lower tail relative to the upper tail,which causes percentile indicators to overestimate their actual research capacity.Research limitations:The descriptions are mathematical facts that are self-evident.Practical implications:The ratios between the number of papers in the global top 10%and 1%by citation count to the total number of papers are commonly used to describe research performance.However,due to variations in citation patterns across countries and institutions with reference to the global pattern,these ratios can be misleading and lose their value as research indicators.Originality/value:Size-independent research performance indicators,obtained as the ratios between paper counts in top percentiles and the total numbers of publications,are widely used by public and private institutions.This study demonstrates that the use of these ratios for research evaluations and country rankings can be highly misleading.展开更多
This paper investigates China's coal price volatility spreaders(CPVSs)from the supply side to locate the volatility source since coal price volatility may destabilize many downstream products'prices or even br...This paper investigates China's coal price volatility spreaders(CPVSs)from the supply side to locate the volatility source since coal price volatility may destabilize many downstream products'prices or even bring uncertainties to macroeconomic output.Especially in the carbon neutrality context,China's coal market is being reconstructed and responding to imbalances between supply and demand;identifying the CPVSs helps alleviate rising market instability and prevent energy-induced system risk.To achieve this objective,we explore causalities among 938 weekly coal prices reported by different coal-producing areas of China from 2006.9.4 to 2021.7.12 using the transfer entropy method.Then,coal price volatility influence is quantified to identify the CPVSs by conjointly using complex network theory and a rank aggregation method.The validity test demonstrates that the proposed hybrid method efficiently identifies the CPVSs as it correlates to many price determinants,e.g.,electricity and coal consumption and generation.The empirical results show that causalities among coal prices changed dramatically in 2016,2018,and 2020,affected by coal decapacity and carbon neutrality policies.Before 2018,coal-producing provinces with strong demand for coal and electricity,e.g.,Jiangxi,Chongqing,and Sichuan,were CPVSs;after 2019,those with comparative advantages in coal supply,e.g.,Gansu and Ningxia,were CPVSs.Overall,the coal market is unstable and sensitive to energy policy and external shocks.Policymakers and market participants are recommended to monitor and manage the CPVSs to improve energy security,avoid policy-induced instability and prevent risks caused by coal price fluctuations.展开更多
基金Supported by Research Funds of Hubei Province(D20144401,Q20174503)。
文摘In this paper,we first generalize the constant dimension and orbit codes over finite fields to the constant rank and orbit codes over finite chain rings.Then we provide a relationship between constant rank codes over finite chain rings and constant dimension codes over the residue fields.In particular,we prove that an orbit submodule code over a finite chain ring is a constant rank code.Finally,for special finite chain ring F_(q)+γF_(q),we define a Gray mapφfrom(F_(q)+γF_(q))^(n)to F^(2n)_(q),and by using cyclic codes over F_(q)+γF_(q),we obtain a method of constructing an optimum distance constant dimension code over F_(q).
基金supported by the grants from the National Natural Science Foundation of China(82404638)the Xingdian Talent Plan of Yunnan Province(XDYC-QNRC-2023-0427 and XDYC-YLXZ2022-0025)the Natural Science Foundation of Yunnan Province(202101BD070001-034,202101BD070001-049,202201AT070267,and 202201AU070183)。
文摘Steroidal alkaloids are the main active components in many medicinal plants and exhibit diverse biological activities.Axillaridine A(AA)is a newly discovered steroidal alkaloid.However,whether AA could suppress osteoclastogenesis and alleviate ovariectomy-induced bone loss in mice remains unknown.In vitro,AA significantly suppressed the receptor activator of nuclear factor-κB(NF-κB)ligand(RANKL)-induced osteoclast differentiation via downregulating the expression of osteoclastogenesis-related marker genes,proteins,and transcriptional regulators,including tartrate-resistant acid phosphatase(TRAP),c-Src,matrix metallopeptidase-9(MMP-9),cathepsin K,nuclear factor of activated T cells,cytoplasmic 1(NFATc1),and c-Fos.This was achieved by blocking RANKL-RANK interaction and inhibiting RANKL-mediated RANK signaling pathways,including NF-κB,AKT,and mitogen-activated protein kinases(MAPKs)in osteoclast precursors.In vivo,AA significantly inhibited the ovariectomized(OVX)-induced body weight gain and blood glucose increase in mice.AA did not adversely affect the histomorphologies,weights,and indices of the kidney and liver in OVX mice.AA effectively ameliorated bone loss in OVX mice by inhibiting osteoclastogenesis.AA significantly inhibited the serum levels of tartrate-resistant acid phosphatase 5b(TRACP-5b)and C-telopeptide of type I collagen(CTX-I).AA significantly inhibited the OVX-induced expression of osteoclastogenesis-related marker genes and proteins in the femur.In summary,AA alleviates ovariectomy-induced bone loss in mice by suppressing osteoclastogenesis via inhibition of RANKL-mediated RANK signaling pathways and could be potentially used for the prevention and treatment of osteoclastrelated diseases such as osteoporosis.
文摘骨质疏松症由于其严重的致病后果同时较高的发病率已经成为我国老年人的头号健康潜在威胁,而OPG/RANK/RANKL信号通路主要通过影响破骨细胞分化成熟,从而在骨质疏松症的发病机制中占据了重要地位,是许多抗骨质疏松药品开发的重要研究靶点之一。为了探究OPG/RANK/RANKL信号通路在骨质疏松症中的作用机制及中医药干预现状和进展,通过CNKI、WANFANG DATE、中华医学期刊全文数据库、Web of Science、Pub Med数据库,以骨质疏松症、OPG/RANK/RANKL、中药和中药方剂为关键词检索近10年相关文献报道,结果显示许多中药及其有效成分和中药方剂都可通过调控OPG/RANK/RANKL信号通路抑制破骨细胞,改善骨质疏松症,增加骨强度,提示中药及其有效成分和中药方剂能有效防治骨质疏松症,同时在药物研发方面具有极大的潜力和应用前景。
文摘Purpose:Citation-based assessments of countries’research capabilities often misrepresent their ability to achieve breakthrough advancements.These assessments commonly classify Japan as a developing country,which contradicts its prominent scientific standing.The purpose of this study is to investigate the underlying causes of such inaccurate assessments and to propose methods for conducting more reliable evaluations.Design/methodology/approach:The study evaluates the effectiveness of top-percentile citation metrics as indicators of breakthrough research.Using case studies of selected countries and research topics,the study examines how deviations from lognormal citation distributions impact the accuracy of these percentile indicators.A similar analysis is conducted using university data from the Leiden Ranking to investigate citation distribution deviations at the institutional level.Findings:The study finds that inflated lower tails in citation distributions lead to undervaluation of research capabilities in advanced technological countries,as captured by some percentile indicators.Conversely,research-intensive universities exhibit the opposite trend:a reduced lower tail relative to the upper tail,which causes percentile indicators to overestimate their actual research capacity.Research limitations:The descriptions are mathematical facts that are self-evident.Practical implications:The ratios between the number of papers in the global top 10%and 1%by citation count to the total number of papers are commonly used to describe research performance.However,due to variations in citation patterns across countries and institutions with reference to the global pattern,these ratios can be misleading and lose their value as research indicators.Originality/value:Size-independent research performance indicators,obtained as the ratios between paper counts in top percentiles and the total numbers of publications,are widely used by public and private institutions.This study demonstrates that the use of these ratios for research evaluations and country rankings can be highly misleading.
基金supported by the National Natural Science Foundation of China(Grant No.72401207 and 42101300)Beijing Municipal Education Commission,China(Grant No.SM202110038001).
文摘This paper investigates China's coal price volatility spreaders(CPVSs)from the supply side to locate the volatility source since coal price volatility may destabilize many downstream products'prices or even bring uncertainties to macroeconomic output.Especially in the carbon neutrality context,China's coal market is being reconstructed and responding to imbalances between supply and demand;identifying the CPVSs helps alleviate rising market instability and prevent energy-induced system risk.To achieve this objective,we explore causalities among 938 weekly coal prices reported by different coal-producing areas of China from 2006.9.4 to 2021.7.12 using the transfer entropy method.Then,coal price volatility influence is quantified to identify the CPVSs by conjointly using complex network theory and a rank aggregation method.The validity test demonstrates that the proposed hybrid method efficiently identifies the CPVSs as it correlates to many price determinants,e.g.,electricity and coal consumption and generation.The empirical results show that causalities among coal prices changed dramatically in 2016,2018,and 2020,affected by coal decapacity and carbon neutrality policies.Before 2018,coal-producing provinces with strong demand for coal and electricity,e.g.,Jiangxi,Chongqing,and Sichuan,were CPVSs;after 2019,those with comparative advantages in coal supply,e.g.,Gansu and Ningxia,were CPVSs.Overall,the coal market is unstable and sensitive to energy policy and external shocks.Policymakers and market participants are recommended to monitor and manage the CPVSs to improve energy security,avoid policy-induced instability and prevent risks caused by coal price fluctuations.
