Floristic composition and edaphic relationships in ferruginous campo rupestre reference ecosystems

Land use change and occupation have led to modifications in the environment causing loss of biodiversity and ecosystem services throughout the planet.Some environments with high economic relevance,such as the ferruginous campo rupestre(rupestrian grassland known as Canga in Brazil),are even more susceptible to severe impacts due to their extreme habitat conditions and low resilience.The determination of reference ecosystems based on the intrinsic characteristics of the ecosystem is essential for conservation as well as to the implementation of ecological restoration.We proposed the reference ecosystem of the three main types of habitats of the ferruginous campo rupestre based on their floristic composition.We described the floristic composition of each habitat and evaluated the physicochemical properties of the soils and the relationship between plants and soils.All three habitats showed high diversity of plant species and many endemic species,such as Chamaecrista choriophylla,Cuphea pseudovaccinium,Lychnophora pinaster,and Vellozia subalata.The distribution of vegetation was strongly related with the edaphic characteristics,with a set of species more adapted to high concentration of base saturation,fine sand,organic carbon,and iron,while another set of species succeeded in more acidic soils with higher S and silt concentration.We provide support for the contention that the ferruginous campo rupestre is a mosaic of different habitats shaped by intrinsic local conditions.Failure to recognize the floristic composition of each particular habitat can lead to inappropriate restoration,increased habitat homogenization and increased loss of biodiversity and ecosystem services.This study also advances the knowledge base for building the reference ecosystem for the different types of ferruginous campo rupestre habitats,as well as a key database for highlighting those species contribute most to community assembly in this diverse and threatened tropical mountain ecosystem.

Different mechanisms underlie similar species-area relationships in two tropical archipelagoes

Despite much research in the field of island biogeography,mechanisms regulating insular diversity remain elusive.Here,we aim to explore mechanisms underlying plant species-area relationships in two tropical archipelagoes in the South China Sea.We found positive plant species-area relationships for both coral and continental archipelagoes.However,our results showed that different mechanisms contributed to similar plant species-area relationships between the two archipelagoes.For coral islands,soil nutrients and spatial distance among communities played major roles in shaping plant community structure and species diversity.By contrast,the direct effect of island area,and to a lesser extent,soil nutrients determined plant species richness on continental islands.Intriguingly,increasing soil nutrients availability(N,P,K)had opposite effects on plant diversity between the two archipelagoes.In summary,the habitat quality effect and dispersal limitation are important for regulating plant diversity on coral islands,whereas the passive sampling effect,and to a lesser extent,the habitat quality effect are important for regulating plant diversity on continental islands.More generally,our findings indicate that island plant species-area relationships are outcomes of the interplay of both niche and neutral processes,but the driving mechanisms behind these relationships depends on the type of islands.

What diameter?What height?Influence of measures of average tree size on area-based allometric volume relationships

Volume is an important attribute used in many forest management decisions.Data from 83 fixed-area plots located in central New Brunswick,Canada,are used to examine how different measures of stand-level diameter and height influence volume prediction using a stand-level variant of Honer's(1967)volume equation.When density was included in the models(Volume=f(Diameter,Height,Density))choice of diameter measure was more important than choice of height measure.When density was not included(Volume=f(Diameter,Height)),the opposite was true.For models with density included,moment-based estimators of stand diameter and height performed better than all other measures.For models without density,largest tree estimators of stand diameter and height performed better than other measures.The overall best equation used quadratic mean diameter,Lorey's height,and density(root mean square error=5.26 m^3·ha^(-1);1.9%relative error).The best equation without density used mean diameter of the largest trees needed to calculate a stand density index of 400 and the mean height of the tallest 400 trees per ha(root mean square error=32.08 m^(3)·ha^(-1);11.8%relative error).The results of this study have some important implications for height subsampling and LiDAR-derived forest inventory analyses.

Three anti-inflammatory polysaccharides from Lonicera japonica Thunb.:insights into the structure-function relationships

This study demonstrates the feasibility of producing three polysaccharides(neutral LJP-1,acidic LJP-2 and acidic LJP-3)with significant in vitro and in vivo anti-inflammatory activities from the flowers of Lonicera japonica.The three polysaccharides differed in chemical composition,molecular weight(Mw)distribution,glycosidic linkage pattern,functional groups and morphology.They exhibited excellent protective effects(in a dose-dependent manner)in lipopolysaccharide-injured RAW264.7 macrophages and Cu SO4-damaged zebrafish via reducing NO production and inhibiting the overexpressions of inflammation-related transcription factors,inflammatory proteins and cytokines in the NF-κB/MAPK signaling pathways.Their antiinflammatory effects varied owing to their different molecular characteristics and chemical compositions.Overall,LJP-2 at 400μg/m L was the most effective.LJP-2 consisted mainly of→5)-α-L-Araf(1→,→4)-α-LGalp A(1→and→2)-α-L-Rhap(1→residues with terminal T-β-D-Glcp.Thus,honeysuckle flowers are good sources of anti-inflammatory polysaccharides,and precise fractionation enables the production of potent antiinflammatory agents for the development of functional foods and healthcare products.

Research on the Evaluation System of Community Daycare Center Planning and Implementation from the Perspective of Subject-Object Relationships

Through literature review,we found that evaluations of urban planning implementation often focus narrowly on either the subject(stakeholders)or the object(projects),while micro-level aspects such as site selection and construction are primarily considered within the context of planning implementation.There is insufficient research on the evaluation of implementation.Community daycare centers play a crucial role in the community home care model,yet there is relatively little research on their usage efficiency,satisfaction levels,and spatial evaluation of planning implementation.Based on the theoretical understanding of the human environment,including the subject,object,and their interactions,an evaluation system for the planning and implementation of community day care centers was constructed,incorporating subjective evaluation,objective evaluation,and comparative analysis.

Mediating role of physical activity in the relationship between psychological distress and intimate relationships among stroke patients

BACKGROUND Stroke patients often experience psychological distress,which can impact their intimate relationships with spouses,subsequently influencing their treatment and recovery.Physical activity is considered a key rehabilitation method for stroke patients.This paper aims to analyze whether psychological distress affects intimate relationship between spouses through physical activity.AIM To explore the mediating effect of physical activity between psychological distress and intimate relationship in stroke patients.METHODS A total of 256 stroke patients who underwent treatment at the First People’s Hospital of Shangqiu between July 2021 and July 2022 were enrolled in this study.The participants completed questionnaires,including the Kessler Psychological Distress Scale(K10),the Quality of Relationship Index(QRI),International Physical Activity Questionnaire,and a general information questionnaire.Data analysis were performed using SPSS 23.0.The Harman test was employed to detect common method deviations,and Spearman correlation was used for correlation analysis.The mediating effect was assessed using Process 3.4.1,with significance testing of the regression coefficients conducted using the bias-corrected percentile Bootstrap method(5000 iterations,95%confidence interval).Statistical significance was set at P<0.05.RESULTS The results showed that patients scored an average of 21.61±6.44 points on the K10,32.40±6.19 points on the QRI;the median physical activity level according to the International Physical Activity Questionnaire was 1861(566,2846)MET·min/w.The level of physical activity(the physical activity intensity of the patients reflected by the Interna-tional Physical Activity Questionnaire-Long Form scale)negatively correlated with psychological distress and intimacy(P<0.05),and positively correlated with each other(P<0.05),with the correlation stronger at lower physical activity levels compared to higher ones.The mediating effect of physical activity between psychological distress and intimate relationship was calculated to be 40.23%.Bootstrap analysis further validated the results.The mediating effect of psychological distress on intimate relationships through physical activity level was-0.284,with a confidence interval of-0.409 to-0.163,excluding 0,confirming a significant mediating effect of psychological distress on intimate relationships.CONCLUSION Physical activity significantly affects relationship between psychological distress and intimate relationships among stroke patients.Addressing the role of physical activity may have implications for improving patient outcomes and rehabilitation strategies.

Structure-guided Capacitance Relationships in Oxidized Graphene Porous Materials Based Supercapacitors

Supercapacitors formed from porous carbon and graphene-oxide(GO)materials are usually dominated by either electric double-layer capacitance,pseudo-capacitance,or both.Due to these combined features,reduced GO materials have been shown to offer superior capacitance over typical nanoporous carbon materials;however,there is a significant variation in reported values,ranging between 25 and 350 F g^(−1).This undermines the structure(e.g.,oxygen functionality and/or surface area)-performance relationships for optimization of cost and scalable factors.This work demonstrates important structure-controlled charge storage relationships.For this,a series of exfoliated graphene(EG)derivatives are produced via thermal-shock exfoliation of GO precursors and following controlled graphitization of EG(GEG)generates materials with varied amounts of porosity,redox-active oxygen groups and graphitic components.Experimental results show significantly varied capacitance values between 30 and 250 F g^(−1)at 1.0 A g^(−1)in GEG structures;this suggests that for a given specific surface area the redox-active and hydrophilic oxygen content can boost the capacitance to 250–300%higher compared to typical mesoporous carbon materials.GEGs with identical oxygen functionality show a surface area governed capacitance.This allows to establish direct structure-performance relationships between 1)redox-active oxygen functional concentration and capacitance and 2)surface area and capacitance.

Solubility study of hydrogen in direct coal liquefaction solvent based on quantitative structure–property relationships model

Direct coal liquefaction(DCL)is an important and effective method of converting coal into high-valueadded chemicals and fuel oil.In DCL,heating the direct coal liquefaction solvent(DCLS)from low to high temperature and pre-hydrogenation of the DCLS are critical steps.Therefore,studying the dissolution of hydrogen in DCLS under liquefaction conditions gains importance.However,it is difficult to precisely determine hydrogen solubility only by experiments,especially under the actual DCL conditions.To address this issue,we developed a prediction model of hydrogen solubility in a single solvent based on the machine-learning quantitative structure–property relationship(ML-QSPR)methods.The results showed that the squared correlation coefficient R^(2)=0.92 and root mean square error RMSE=0.095,indicating the model’s good statistical performance.The external validation of the model also reveals excellent accuracy and predictive ability.Molecular polarization(a)is the main factor affecting the dissolution of hydrogen in DCLS.The hydrogen solubility in acyclic alkanes increases with increasing carbon number.Whereas in polycyclic aromatics,it decreases with increasing ring number,and in hydrogenated aromatics,it increases with hydrogenation degree.This work provides a new reference for the selection and proportioning of DCLS,i.e.,a solvent with higher hydrogen solubility can be added to provide active hydrogen for the reaction and thus reduce the hydrogen pressure.Besides,it brings important insight into the theoretical significance and practical value of the DCL.

Four new orientation relationships of Mg_(17)Al_(12) phase with magnesium matrix in Mg-8Al-0.5Zn alloys

Although the non-basal precipitates, those not parallel to the basal plane, are more effective to block basal slip in Mg-Al alloys, the crystallographic orientation relationship(OR) between these precipitates and the α-Mg matrix has not been well established. In this work, the crystallography of the non-basal Mg_(17)Al_(12) precipitates in AZ80 alloy was systematically investigated by transmission electron microscopy(TEM). By tilting to a suitable electron beam direction, different kinds of non-basal precipitates were recognized in TEM, and the following four new ORs between the non-basal Mg_(17)Al_(12) precipitates and the matrix were revealed: ■, and ■.Furthermore, these ORs and their habit planes were explained using the edge-to-edge matching model. The findings in this work can provide some guidelines for designing the microstructure of Mg-Al alloys to enhance their precipitation hardening potential.

Optimizing Spatial Relationships in GCN to Improve the Classification Accuracy of Remote Sensing Images

Semantic segmentation of remote sensing images is one of the core tasks of remote sensing image interpretation.With the continuous develop-ment of artificial intelligence technology,the use of deep learning methods for interpreting remote-sensing images has matured.Existing neural networks disregard the spatial relationship between two targets in remote sensing images.Semantic segmentation models that combine convolutional neural networks(CNNs)and graph convolutional neural networks(GCNs)cause a lack of feature boundaries,which leads to the unsatisfactory segmentation of various target feature boundaries.In this paper,we propose a new semantic segmentation model for remote sensing images(called DGCN hereinafter),which combines deep semantic segmentation networks(DSSN)and GCNs.In the GCN module,a loss function for boundary information is employed to optimize the learning of spatial relationship features between the target features and their relationships.A hierarchical fusion method is utilized for feature fusion and classification to optimize the spatial relationship informa-tion in the original feature information.Extensive experiments on ISPRS 2D and DeepGlobe semantic segmentation datasets show that compared with the existing semantic segmentation models of remote sensing images,the DGCN significantly optimizes the segmentation effect of feature boundaries,effectively reduces the noise in the segmentation results and improves the segmentation accuracy,which demonstrates the advancements of our model.

Sora:从技术哲学到文艺学的思考(笔谈)

哲学学者吴冠军从技术哲学的视角提出:从ChatGPT、DALL·E到Sora,基于转化器的AIGC大模型并不只改变了内容创作,还改变了“世界”在最字面上的意义。世界化成的过程,越来越多被以有损压缩-重新生成为发生学机制的AIGC之创造性活动所介入,这就导致“宇宙”(我们眼里的“物理宇宙”)与“元宇宙”不断深层次地叠加,“自然进程”与“人工创造”不断深层次地交织以至进入无可区分之域。这就意味着,我们所熟悉的那个“世界”,将一去不复返:当AIGC已“深”到参与世界化成本身之中时,讨论“深伪”将越来越没有意义。文艺学学者赵宪章则从“语图关系学”的视角提出:Sora的横空出世及其未来演进,不仅不是图像时代符号危机的解除,更不是语图关系研究的终结。恰恰相反,Sora加深了这一危机,语图关系研究也延宕出新的面向。

基于系统结构的水利高质量发展内涵与结构解析

准确把握水利高质量发展内涵,是实施新时代水利发展战略的重要前提。通过系统梳理高质量发展和水利发展的研究进展,基于系统观,分析了水利高质量发展的基本概念体系和核心要义;基于系统结构及系统优化视角,构建了由水利高质量发展目标、发展途径、发展条件三要素组成的水利高质量发展系统的关系结构。结果表明:水利高质量发展既是水利系统优化的发展理念,也是实现系统治水的发展措施;将水利高质量发展目标解析为水旱灾害防御安全、水资源供给安全、水生态保护安全和水环境保护安全保障以及高质量水利共享;五大新发展理念内化于水利高质量发展系统的关系结构之中,其中水资源禀赋和绿色发展是前提基础和约束条件,开放是其外在环境条件和内在体现,水利科技创新、水资源优化配置、水资源集约节约利用、水利系统现代化管理、水利基础设施建设和水安全系统功能协调是发展的重要优化途径,高质量水安全保障与满足人民需求的高质量水利共享是发展目标的核心内容。基于系统结构及系统优化问题视角深入剖析水利高质量发展的系统结构及其内在关系,可进一步深化对水利高质量发展的内涵认识,为区域水利高质量发展综合定量评价奠定基础。

壳源氦气成藏主控因素及资源评价方法研究

当前国内外尚无系统的氦气资源评价方法以及针对性的参数取值标准。通过天然气和氦气的成藏要素对比,明确了载体气和壳源氦气的异源同储、同源同储和同源异储3类共生关系,以及壳源氦气成藏的8个关键因素。构建了4类10种氦气资源分级分类评价方法,其中含量法包括5个亚类,统计法包括1个亚类,类比法包括3个亚类,成因法1个亚类,初步解决了氦气资源定量计算的难题。结果表明:高氦气含量的气藏一般为常压及低压气藏,氦气含量与氦源岩类型、铀钍含量和氦源岩规模3个参数呈正向关系,而与离主断裂距离、埋深和生烃强度3个参数呈负相关,适度的基底构造活动有利于氦气释放及富集。基于8类氦气成藏主控因素与氦气含量的定量关系,建立了氦气含量类比法。基于异源同储不同序的原理,构建了氦气资源规模序列法;基于放射性元素衰变释氦机理,建立了氦气成因法。氦气资源评价方法在国内外得到了较为广泛的应用,研究成果将为我国氦气储量规模发现提供了有效支撑。

水土保持生态建设下的黄土高原典型流域水沙响应

为探讨黄土高原多沙粗沙区流域水沙关系演变特征及其对水土流失治理的响应,以黄河中游无定河流域为研究对象,综合采用水沙关系曲线、数理统计等多种方法,系统分析1956—2019年间无定河流域水沙关系多时间尺度演变特征及其与水土流失治理的协同响应。研究结果表明:1)研究时段内,无定河流域年径流及年输沙量呈锐减趋势(P<0.05),且均在1970年左右发生减少突变;2)流域水沙关系在年际和场次洪水尺度上均发生深刻变化。2010年以后,暴雨频发导致流域内侵蚀物源头供应明显增加,流域河道泥沙输送能力小幅提高;3)水土保持措施实施对流域水沙锐减影响较大。2000年前后在相似降雨条件下,单位降雨量径流量和单位降雨量输沙量较20世纪70年代减少47%和62%。水土保持措施面积增加与流域径流输沙减少呈现较好的一致性,流域水土流失治理在提高黄河多沙粗沙区流域下垫面抗侵蚀能力等方面发挥重要作用。研究结果可为科学认知区域水土流失治理成效及入黄泥沙锐减成因提供参考。

中国式乡村治理现代化的重要关系问题

为实现中国式现代化的战略目标,乡村治理现代化是必要的动力和重要的支撑。变革和创新乡村治理以促进农业农村农民的现代化发展,必须结合中国国情和实际需要,科学合理地应对和协调城镇化与乡村振兴、公共管理与村民自治、保护与发展、耕地保护与制度创新、农业与非农化、先富与共同富裕之间的关系问题。重视并处理好这六大重要关系问题,一方面可规避单向度发展,另一方面可避免政策与实践的二元对立,从而有效推进中国式乡村治理现代化。

旅游短视频营销对顾客融入的影响机制研究

以SIPS(sympathize-identify-participate-spread)模型为基础,对417名旅游短视频观看者进行问卷调查,通过实证研究构建旅游短视频营销对顾客融入的影响机制模型,旨在探索旅游目的地形象宣传的新方向和旅游短视频创作重点。研究发现:旅游短视频营销从传播内容、传播场景和传播主体3个方面正向影响顾客融入,顾客灵感具有部分中介作用;关系强度正向调节旅游短视频营销与顾客灵感的关系,旅游短视频营销通过顾客灵感正向影响顾客融入的间接效应,在高关系强度条件下更强烈。

基于信任理论的北京大学图书馆用户关系管理新探

如何开展用户关系管理是高校图书馆现代化发展道路上必然面临的问题。北京大学图书馆将用户作为图书馆可持续发展的关键要素,自2018年以来,基于用户信任统筹推进用户关系管理,秉持真抓实干、重在参与、实在受益、贵在信任、凝心聚力的战略方针,构建相互信赖、深度协作、长期友好的用户关系,取得明显成效。文章对基于信任理论的北京大学图书馆用户关系管理的实践探索进行初步总结。

乡村旅游与农村人居环境的耦合协调关系及障碍因子诊断——以山西省为例

在构建乡村旅游与农村人居环境评价指标体系的基础上,运用层次分析法、耦合协调度模型等定量分析山西省11个地级市乡村旅游与农村人居环境的耦合协调关系,运用障碍度模型对其耦合协调关系的障碍因子进行诊断。结果表明:(1)各地级市乡村旅游水平、农村人居环境水平的区域差距较大,且二者之间存在明显的空间错位。(2)晋中、临汾和运城为中度耦合协调级乡村旅游领先型,晋城、长治和吕梁为中度耦合协调级同步型,太原和阳泉为中度耦合协调级乡村旅游滞后型,忻州和大同为勉强耦合协调级同步型,朔州为初级耦合协调级乡村旅游滞后型。(3)基础设施、公共服务、产业机构是限制山西省乡村旅游与农村人居环境耦合协调发展的关键障碍因子,且7个维度的障碍分布状况差异较大,各地级市的关键障碍因子并不一致。(4)山西省今后应加强基础设施建设、提升公共服务水平和优化乡村旅游供给,并结合各区域的耦合协调关系及障碍因子状况,采取合理措施推动乡村旅游与农村人居环境持续协调发展。

高校图书馆用户关系管理指南针报告

教育部高等学校图书情报工作指导委员会和北京大学图书馆合作研制《高校图书馆用户关系管理指南针报告》,构建了高校图书馆用户关系管理理论框架,并采用问卷调查法对全国中大规模高校图书馆的用户关系管理情况开展调研,从用户受益、用户信任、用户参与等细分维度及整体进展方面对高校图书馆用户关系管理工作现状进行系统分析,总结出高校图书馆用户关系管理在顶层规划部署、服务拓展细化、信任培育加固、用户参与深化等方面的发展趋势,为高校图书馆用户关系建设与发展提供方向指引。

我国医患关系研究的进路与省思

基于CiteSpace可视化分析工具,以“医患关系”为关键词,分析近年来传播学视域的医患关系研究议题与进程,发现医患关系研究出现从“媒介”到“人”的研究转向。其中以“媒介”为中心的医患关系视角注重医患关系的媒介呈现和媒介宣传,以“人”为中心的医患关系视角注重媒介使用与医患信任建构、媒介与患者健康意向行为关系及新型医患沟通模式分析。同时,探讨提升中国社会的医患关系研究路径,提出未来研究更应注重制度和文化等语境,跳出实证主义范式以及单一的“医−患”二元视角,以推动医患关系研究的均衡与系统化发展。