Tunable dispersion relations manipulated by strain in skyrmion-based magnonic crystals

We theoretically investigate the propagation characteristics of spin waves in skyrmion-based magnonic crystals. It is found that the dispersion relation can be manipulated by strains through magneto-elastic coupling. Especially, the allowed bands and forbidden bands in dispersion relations shift to higher frequency with strain changing from compressive to tensile,while shifting to lower frequency with strain changing from tensile to compressive. We also confirm that the spin wave with specific frequency can pass the magnonic crystal or be blocked by tuning the strains. The result provides an advanced platform for studying the tunable skyrmion-based spin wave devices.

Understanding the Relationship Between Shrinking Cities and Land Prices:Spatial Pattern,Effectiveness,and Policy Implications

Urban shrinkage has emerged as a widespread phenomenon globally and has a significant impact on land,particularly in terms of land use and price.This study focuses on 2851 county-level cities in China in 2005–2018(excluding Hong Kong,Macao,Taiwan,and‘no data’areas in Qinhai-Tibet Plateau)as the fundamental units of analysis.By employing nighttime light(NTL)data to identify shrinking cities,the propensity score matching(PSM)model was used to quantitatively examine the impact of shrinking cities on land prices,and evaluate the magnitude of this influence.The findings demonstrate the following:1)there were 613 shrinking cities in China,with moderate shrinkage being the most prevalent and severe shrinkage being the least.2)Regional disparities are evident in the spatial distribution of shrinking cities,especially in areas with diverse terrain.3)The spatial pattern of land price exhibits a significant correlated to the economic and administrative levels.4)Shrinking cities significantly negatively impact on the overall land price(ATT=–0.1241,P<0.05).However,the extent of the effect varies significantly among different spatial regions.This study contributes novel insights into the investigation of land prices and shrinking cities,ultimately serving as a foundation for government efforts to promote the sustainable development of urban areas.

Enhancing Data Forwarding Efficiency in SIoT with Multidimensional Social Relations

Effective data communication is a crucial aspect of the Social Internet of Things(SIoT)and continues to be a significant research focus.This paper proposes a data forwarding algorithm based on Multidimensional Social Relations(MSRR)in SIoT to solve this problem.The proposed algorithm separates message forwarding into intra-and cross-community forwarding by analyzing interest traits and social connections among nodes.Three new metrics are defined:the intensity of node social relationships,node activity,and community connectivity.Within the community,messages are sent by determining which node is most similar to the sender by weighing the strength of social connections and node activity.When a node performs cross-community forwarding,the message is forwarded to the most reasonable relay community by measuring the node activity and the connection between communities.The proposed algorithm was compared to three existing routing algorithms in simulation experiments.Results indicate that the proposed algorithmsubstantially improves message delivery efficiency while lessening network overhead and enhancing connectivity and coordination in the SIoT context.

Relational Turkish Text Classification Using Distant Supervised Entities and Relations

Text classification,by automatically categorizing texts,is one of the foundational elements of natural language processing applications.This study investigates how text classification performance can be improved through the integration of entity-relation information obtained from the Wikidata(Wikipedia database)database and BERTbased pre-trained Named Entity Recognition(NER)models.Focusing on a significant challenge in the field of natural language processing(NLP),the research evaluates the potential of using entity and relational information to extract deeper meaning from texts.The adopted methodology encompasses a comprehensive approach that includes text preprocessing,entity detection,and the integration of relational information.Experiments conducted on text datasets in both Turkish and English assess the performance of various classification algorithms,such as Support Vector Machine,Logistic Regression,Deep Neural Network,and Convolutional Neural Network.The results indicate that the integration of entity-relation information can significantly enhance algorithmperformance in text classification tasks and offer new perspectives for information extraction and semantic analysis in NLP applications.Contributions of this work include the utilization of distant supervised entity-relation information in Turkish text classification,the development of a Turkish relational text classification approach,and the creation of a relational database.By demonstrating potential performance improvements through the integration of distant supervised entity-relation information into Turkish text classification,this research aims to support the effectiveness of text-based artificial intelligence(AI)tools.Additionally,it makes significant contributions to the development ofmultilingual text classification systems by adding deeper meaning to text content,thereby providing a valuable addition to current NLP studies and setting an important reference point for future research.

Defining the We-map Reference Frames and Providing Mathematical Expressions for Transformation Relations

We-map is an interactive mobile map that can be easily communicated and applied on personal electronic devices,such as personal computers and mobile phones.Therefore,the study of direction systems and coordinate systems is critical,and exploring reference frames is essential in direction and coordinate systems.Despite its significance,existing research on We-map lacks specific solutions for the exploration of reference frames is indispensable for the establishment of accurate direction and coordinate systems.In this paper,we endeavor to address this gap by elucidating the significance of We-map reference frames,defining them with mathematical constraints,summarizing their nature and characteristics,deriving their transformation relationships and representing them through mathematical formulars and equations.Our work contributes to the fundamental theory of We-map and provides valuable systems and support for the mathematical foundation of We-map,map production,and platform development.Ultimately,this research serves to advance the development of We-map.

Power Relations in Older Adults’ Cognitive Interaction in Clinical Setting: A Multimodal Pragmatic Perspective

This study explored the construction of power relations in the cognitive assessment of older adults within the Chinese clinical context.Data is derived from audio and video recordings that nine older adults produced in the cognitive assessment of the Chinese version of the Montreal Cognitive Assessment-Basic(MoCA-B),which were then annotated and analyzed from a multimodal pragmatic perspective.The study reveals that examiners and older adults employed various speech acts to achieve distinct communicative goals,with power relations between them being reflected through these speech acts.Examiners tend to claim high power,utilizing discourse strategies such as request,interruption,evaluation,rhetorical questions,and directive speech acts.In contrast,older adults assert high power through directive speech acts,rhetorical questions,and interruptions.Both parties also exhibit low power by using confirming questions and explanations.Additionally,gestures,smiles,prosody features,and other non-verbal communicative resources are synergistically employed to exercise power.The interactive mechanism of constructing power relations reveals that age affects older adults’power relations construction even in a professional setting of the Chinese context.The negotiation between the advanced age of older adults and the expertise of examiners jointly shapes power relations in their interactions.

Dispersion Relations in Diffraction in Time

In agreement with Titchmarsh’s theorem, we prove that dispersion relations are just the Fourier-transform of the identity, g(x′)=±Sgn(x′)g(x′), which defines the property of being a truncated functions at the origin. On the other hand, we prove that the wave-function of a generalized diffraction in time problem is just the Fourier-transform of a truncated function. Consequently, the existence of dispersion relations for the diffraction in time wave-function follows. We derive these explicit dispersion relations.

Generating Sets of the Complete Semigroup of Binary Relations Defined by Semilattices of the Class Σ8(X, 5)

In this article, we study generating sets of the complete semigroups of binary relations defined by X-semilattices of unions of the class Σ8(X, 5). Found uniquely irreducible generating set for the given semigroups and when X is finite set formulas for calculating the number of elements in generating sets are derived.

Explanation of Two Important Empirical Relations for Galaxies

The phenomenon of “missing mass” in galaxies has triggered new theoretical exploration, forming a competition between dark matter assumption, modified Newtonian dynamics and modified gravity. Over the past forty years, various versions of the modified scenario have been proposed to simulate the effects of missing mass. These schemes replace the dynamic effect of dark matter by introducing some tiny extra force terms in the dynamic equations. Such extra forces have mainly interactions on large scales of galaxies, such as fitting the Tully-Fisher relation or asymptotically flat rotation curves. The discussion in this paper shows that the evidence of taking the modified schemes as fundamental theory is still insufficient. In this paper, we display a system of simplified galactic dynamical equations derived from weak field and low-speed approximations of Einstein field equations, and then we use it to discuss two important empirical relations in galactic dynamics, namely the Faber-Jackson relation and Tully-Fisher relation, as well as the related fundamental plane. These discussions provide a reference scheme for improving the dispersion of the empirical relations, and also provide a theoretical foundation to analyze the properties of dark matter and galactic structures.

The Relationship Between the Communist Party of China and the Japanese Communist Party During the War of Resistance Against Japanese Aggression

It is important to clarify the historical facts and summarize the characteristics of the communication and cooperation between the CPC and the JCP during the War of Resistance against Japanese Aggression, as it holds historical and contemporary relevance. The research findings indicate that the Comintern played a crucial role as the key intermediary in facilitating the establishment of connections between the CPC and the JCP and in driving the deepening of their relationship. During their exchanges, both parties adhered to a flexible and multi-layered friendship based on the unified values of patriotism and internationalism. Their efforts played a significant role in the establishment of an international anti-fascist front in the East.

Keap1/Nrf2信号通路在非小细胞肺癌氧化应激机制中的作用

目的检测非小细胞肺癌(NSCLC)组织中Kelch样环氧氯丙烷相关蛋白-1(Keap1)、核因子E2相关因子2(Nrf2)蛋白表达水平,分析其与临床病理参数、氧化应激指标的相关性,为临床治疗提供潜在靶点。方法选取2017年4月至2020年4月郑州市第三人民医院收治的100例NSCLC患者为研究对象,免疫组化法检测并比较癌组织、癌旁组织中Keap1、Nrf2蛋白表达水平;比较不同临床病理参数患者Keap1、Nrf2蛋白表达水平;比较不同Keap1、Nrf2蛋白表达患者血清超氧化物歧化酶(SOD)、诱导型一氧化氮合酶(iNOS)、丙二醛(MDA)水平,并采用Spearman法分析SOD、i NOS、MDA与临床病理参数的相关性,采用Pearson法分析SOD、iNOS、MDA与Keap1、Nrf2蛋白水平的的相关性;比较不同Keap1、Nrf2蛋白表达患者的生存率。结果癌组织、癌旁组织Keap1蛋白阳性率分别为77.00%、53.00%,Nrf2蛋白阳性率分别为74.00%、45.00%,Keap1蛋白OD值分别为0.41±0.07、0.33±0.05,Nrf2蛋白OD值分别为0.39±0.06、0.31±0.06,癌组织Keap1、Nrf2蛋白阳性率及OD值明显高于癌旁组织,差异均有统计学意义(P<0.05);Keap1蛋白阳性表达与病理分级、T分期呈正相关(r=0.569、0.574,P<0.01),Nrf2蛋白阳性表达与病理分级、T分期呈正相关(r=0.527、0.539,P<0.01);Keap1蛋白阳性者、阴性者的血清SOD水平分别为(86.78±9.14)U/m L、(115.07±12.13)U/m L,MDA水平分别为(4.42±0.82)mmol/L、(3.24±0.56)mmol/L,i NOS水平分别为(22.74±4.31)U/m L、(15.59±3.02)U/mL,Nrf2蛋白阳性者、阴性者血清SOD水平分别为(84.94±9.12)U/mL、(117.06±12.37)U/mL,MDA水平分别为(4.48±0.85)mmol/L、(3.21±0.52)mmol/L,iNOS水平分别为(23.02±4.28)U/mL、(15.64±3.10)U/mL,Keap1、Nrf2蛋白阳性者血清SOD水平明显低于阴性者,MDA、iNOS水平明显高于阴性者,差异均有统计学意义(P<0.05);Keap1、Nrf2蛋白表达与SOD呈负相关(r=-0.612、-0.614,P<0.01),与MDA、iNOS呈正相关(r_(Keap1)=0.609、0.614,P<0.01;r_(Nrf2)=0.610、0.608,P<0.01);Keap1、Nrf2蛋白阳性表达者3年生存率为85.71%、83.78%,明显低于阴性表达者的95.65%、100.00%,差异均有统计学意义(P<0.05)。结论NSCLC组织中Keap1、Nrf2蛋白表达水平升高,且与病理分级、T分期密切相关,该信号通路活化可参与氧化应激反应过程,且对预判患者预后具有一定临床意义。

使用双膦酸盐药物患者种植体早期失败率及术后药物相关性颌骨坏死的单组率Meta分析

目的系统评价使用双膦酸盐药物(bisphosphonates,BPs)患者种植体早期失败率及种植术后药物相关性颌骨坏死(medication-related osteonecrosis of the jaw,MRONJ)发生率,为临床评估相关风险提供依据。方法计算机检索Cochrane Library、Wiley Online Library、PubMed、中国知网、万方数据知识服务平台,收集纳入各数据库建库至2022年5月发表的关于使用BPs患者种植体早期失败或种植术后发生MRONJ的临床研究。采用Stata 15.0软件对种植体早期失败率进行单组率Meta分析。结果共纳入13篇文献,其中口服BPs患者植入1182颗种植体,静脉注射BPs患者植入79颗,共计1261颗种植体。口服BPs患者合并种植体早期失败率为1.7%(95%CI:0.3%~3.9%),MRONJ发生率为0。静脉注射BPs患者种植体早期失败率为0,MRONJ发生率为5.6%。结论口服BPs患者种植体早期失败率及术后MRONJ发生率低,与健康人群基本相当。静脉使用BPs患者种植术后发生MRONJ风险较高,临床适应证选择应慎重。

AMFRel:一种中文电子病历实体关系联合抽取方法

中文电子病历实体关系抽取是构建医疗知识图谱,服务下游子任务的重要基础。目前,中文电子病例进行实体关系抽取仍存在因医疗文本关系复杂、实体密度大而造成医疗名词识别不准确的问题。针对这一问题,提出了基于对抗学习与多特征融合的中文电子病历实体关系联合抽取模型AMFRel(adversarial learning and multi-feature fusion for relation triple extraction),提取电子病历的文本和词性特征,得到融合词性信息的编码向量;利用编码向量联合对抗训练产生的扰动生成对抗样本,抽取句子主语;利用信息融合模块丰富文本结构特征,并根据特定的关系信息抽取出相应的宾语,得到医疗文本的三元组。采用CHIP2020关系抽取数据集和糖尿病数据集进行实验验证,结果显示:AMFRel在CHIP2020关系抽取数据集上的Precision为63.922%,Recall为57.279%,F1值为60.418%;在糖尿病数据集上的Precision、Recall和F1值分别为83.914%,67.021%和74.522%,证明了该模型的三元组抽取性能优于其他基线模型。

高温高应变率下钛合金Ti6Al4V的动态力学行为及本构关系

采用分离式霍普金森压杆实验技术,研究了钛合金Ti6Al4V在温度为25~800℃、应变速率为2 000~7 000 s-1的冲击压缩下的动态力学行为和微观组织演变,分析了其力学响应的温度依赖性和应变率敏感性,构建了可准确表征材料塑性流动行为的修正Johnson-Cook模型。结果表明,Ti6Al4V具有显著的应变硬化、应变率强化、应变率增塑和温度软化效应。随着加载温度和应变率的升高,材料的应变硬化效应减弱。温度敏感性随加载温度的升高而显著降低。应变率敏感性因子与加载温度呈负相关,随真实应变的增大呈下降趋势。高温高应变率下细小等轴α相、拉长型α相和块状α相取代初始等轴α相成为Ti6Al4V微观组织的典型特征。考虑率-温耦合作用和绝热温升影响的修正Johnson-Cook模型能够准确地预测Ti6Al4V的塑性流动应力-应变响应。

国内外新就业形态劳动者权益保障研究脉络与热点追踪--基于CiteSpace的文献计量分析

党的二十大报告强调,“要加强灵活就业和新就业形态劳动者权益保障”。围绕这一主题,借助CiteSpace等文献分析工具,聚焦发文量、文献被引频次、期刊影响因子、核心作者群、关键词聚类等指标,对近年来国内外关于新就业形态劳动者权益保障的主题文献进行计量分析,系统梳理其研究脉络,得出了如下结论和研究展望:近十年来,国内外对新就业形态劳动者权益保障的研究逐步深入,但文献总量较少,核心作者群相对分散,业内学术影响力不高,未来研究方向将集中在新就业形态劳动者新型雇佣关系认定和劳动权益保障两个方面,并致力于在工会职能创新、立法创新、社会保险政策实践创新3个方面作出实质性突破。

小儿脑性瘫痪与ATG5多态性的关联性及危险因素分析

目的分析自噬相关基因5(ATG5)多态性与小儿脑性瘫痪(CP)的关联性,探究影响CP发生的危险因素。方法选择2022年1月—2024年1月我院收治的118例CP患儿为研究对象,纳入研究组;选择同期收治的200例非CP小儿纳入对照组。应用聚合酶链式反应-限制性酶切片段长度多态性(PCR-RFLP)技术检测ATG5基因单核苷酸多态性(SNP)位点rs510432、rs573775、rs2299863、rs3804338、rs6568431多态性,采用酶联免疫吸附试验(ELISA)法检测2组儿童血浆ATG5水平,采用logistic回归分析ATG5基因多态性与小儿CP易感性的关系。结果研究组和对照组ATG5基因rs6568431位点AA、AC、CC基因型频率分别为25.42%、40.68%、33.90%和8.00%、40.00%、52.00%,差异有统计学意义(P<0.05),2组儿童rs510432、rs573775、rs2299863、rs3804338位点各基因型频率比较,差异均无统计学意义(P>0.05)。研究组和对照组儿童ATG5基因rs6568431位点A、C等位基因频率分别为45.76%、54.24%和28.00%、72.00%,差异有统计学意义(P<0.05),rs510432、rs573775、rs2299863、rs3804338位点各等位基因频率比较,差异均无统计学意义(P>0.05)。研究组儿童血浆ATG5水平为(8.42±0.95)ng/mL,明显低于对照组的(10.67±0.99)ng/mL,差异有统计学意义(t=19.872,P<0.05),且携带AA基因型儿童的血浆ATG5水平明显低于携带AC+CC基因型儿童,差异有统计学意义(P<0.05)。单因素分析结果显示,2组儿童母亲既往不良孕产史、母亲妊娠期高血压、母亲孕期羊水异常、宫内窘迫、病理性黄疸以及缺血缺氧性脑病情况的差异均有统计学意义(P<0.05)。多因素logistic回归分析结果显示,母亲有既往不良孕产史、母亲孕期羊水异常、宫内窘迫、病理性黄疸、缺血缺氧性脑病以及ATG5基因rs6568431位点多态性是CP发生的影响因素,差异均有统计学意义(P<0.05)。结论ATG5基因rs6568431位点多态性与小儿CP易感性存在关联性,且携带AA基因型可能增加小儿CP发生风险。此外,小儿CP的发生还与母亲既往不良孕产史、母亲孕期羊水异常、宫内窘迫、病理性黄疸以及缺血缺氧性脑病等多种因素有关,故针对高危因素进行积极预防,有助于减少小儿CP的发生。

BMAL1减轻H_(2)O_(2)诱导的心肌细胞损伤机制研究

目的探讨脑和肌肉组织芳香烃受体核转运蛋白的类似蛋白1(BMAL1)通过核因子E2相关因子2(NRF2)调节活性氧(ROS)/NOD样受体热蛋白结构域相关蛋白3(NLRP3)炎症小体通路对过氧化氢(H_(2)O_(2))诱导的心肌细胞损伤的影响。方法体外培养H9c2细胞和BMAL1稳定过表达的H9c2细胞,建立H_(2)O_(2)诱导的H9c2细胞损伤模型,并将细胞分为对照(Control)组、H_(2)O_(2)组、BMAL1过表达(BMAL1-OE)组、BMAL1过表达+H_(2)O_(2)(BMAL1-OE+H_(2)O_(2))组、BMAL1过表达+NRF2抑制剂(BMAL1-OE+ML385)组、BMAL1过表达+NRF2抑制剂+H_(2)O_(2)(BMAL1-OE+ML385+H_(2)O_(2))组。采用CCK-8法检测细胞活力,荧光探针2’,7’-二氯荧光素二乙酸酯检测ROS生成,Western blot检测BMAL1、NRF2和NLRP3蛋白表达,酶联免疫吸附试验法检测白细胞介素(IL)-1β释放。结果与Control组相比,H_(2)O_(2)组H9c2心肌细胞活力减弱,ROS生成增多,BMAL1和NRF2蛋白表达水平降低,NLRP3蛋白表达水平升高,IL-1β释放增多(P<0.05);与H_(2)O_(2)组相比,BMAL1-OE+H_(2)O_(2)组H9c2心肌细胞活力升高,ROS生成减少,BMAL1和NRF2蛋白表达水平升高,NLRP3蛋白表达水平降低,IL-1β释放减少(P<0.05)。与BMAL1-OE+H_(2)O_(2)组相比,BMAL1-OE+ML385+H_(2)O_(2)组H9c2心肌细胞活力减弱,ROS生成增多,NLRP3蛋白表达水平升高,IL-1β释放增多(P<0.05)。结论BMAL1可减轻H_(2)O_(2)诱导的H9c2心肌细胞损伤,其机制可能与NRF2调节ROS/NLRP3炎症小体通路有关。

miR-25a-5p促进乳腺癌蒽环类药物治疗所致的心肌损伤

目的:探讨蒽环类药物诱导心肌毒性的机制和新的治疗靶点。方法:106例乳腺癌患者根据超声心动图检查鉴别出肿瘤治疗相关心功能障碍,分为心功能障碍组及对照组。通过微阵列技术高通量筛选两组患者差异表达miRNA。体外构建蒽环类药物诱导H9C2心肌细胞损伤模型,通过调控miR-25a-5p的表达,观察miR-25a-5p在蒽环类药物诱导H9C2心肌细胞损伤中的作用。结果:乳腺癌患者中9例发生肿瘤治疗相关心功能障碍,并从两组患者中鉴定出9个差异表达的miRNA。其中8个miRNA在体外模型中进一步得到验证,尤其是miR-25a-5p。通过上调miR-25a-5p,可进一步加重蒽环类药物诱导心肌细胞氧化损伤。结论:miR-25a-5p促进蒽环类药物诱导的心肌损伤,可能是新的生物标志物及治疗靶点。

Quilghini变换法在求解密度跃变的水合物热分解Stefan模型精确解中的应用

利用质量守恒原理建立了考虑密度跃变的天然气水合物热分解Stefan模型,通过对有弱解的均匀散度方程分部积分详细推导一般形式的Rankine-Hugoniot跳跃关系,获得了关于界面速度项三次方形式的Stefan耦合条件,但在工程需要误差范围内三次方可以忽略。在Stefan模型中引入速度项使得模型的精确解难以得到。Quilghini变换将质量转化为空间变量,Stefan模型的速度项消失,成为经典的类Stefan模型,再经Quilghini逆变换得到了密度跃变Stefan模型的精确解析解。通过Matlab编程,结合实例研究了超越方程解、温度分布和分解界面的规律性,探索注入温度和密度跃变对超越方程解、穿透深度、穿透时间和水合物位移的影响,密度跃变引起的误差在工程允许范围内。

AES-192的相关密钥飞去来器攻击和矩形攻击

相关密钥攻击是对AES十分有效的分析方法之一.在2022年亚密会上,Derbez等利用概率为2−108的10轮相关密钥飞去来器区分器给出了目前最好的AES-192的全轮攻击.本文改进了全轮AES-192的相关密钥飞去来器和矩形攻击.基于Wang等的9轮相关密钥飞去来器区分器的截断差分,本文利用飞去来器分布表(BDT)技术给出目前概率最高的10轮相关密钥飞去来器区分器,概率为2−105.92.基于该区分器,改进了全轮AES-192的相关密钥飞去来器攻击,时间、数据和存储复杂度分别为2^(121.92)、2^(121.92)和2^(90.92),与之前的结果相比时间复杂度改进了22.08.进一步,给出了全轮AES-192的相关密钥矩形攻击,时间、数据和存储复杂度分别为2^(127.9)、2^(119.5)和2^(131.5),这也是目前在选择明文模式下对全轮AES-192最好的攻击结果.