BCCLR:A Skeleton-Based Action Recognition with Graph Convolutional Network Combining Behavior Dependence and Context Clues

In recent years,skeleton-based action recognition has made great achievements in Computer Vision.A graph convolutional network(GCN)is effective for action recognition,modelling the human skeleton as a spatio-temporal graph.Most GCNs define the graph topology by physical relations of the human joints.However,this predefined graph ignores the spatial relationship between non-adjacent joint pairs in special actions and the behavior dependence between joint pairs,resulting in a low recognition rate for specific actions with implicit correlation between joint pairs.In addition,existing methods ignore the trend correlation between adjacent frames within an action and context clues,leading to erroneous action recognition with similar poses.Therefore,this study proposes a learnable GCN based on behavior dependence,which considers implicit joint correlation by constructing a dynamic learnable graph with extraction of specific behavior dependence of joint pairs.By using the weight relationship between the joint pairs,an adaptive model is constructed.It also designs a self-attention module to obtain their inter-frame topological relationship for exploring the context of actions.Combining the shared topology and the multi-head self-attention map,the module obtains the context-based clue topology to update the dynamic graph convolution,achieving accurate recognition of different actions with similar poses.Detailed experiments on public datasets demonstrate that the proposed method achieves better results and realizes higher quality representation of actions under various evaluation protocols compared to state-of-the-art methods.

Palaeogene Sandstones of the Manika Plateau in Kolwezi (DR Congo): Sedimentological and Geochemical Characterization, Provenance, Palaeoalteration and Tectonic Context

This work presents a study of the Paleogene sandstones of the Manika plateau in Kolwezi, DR Congo. These sandstones belong to the “Grès polymorphes” group, which together with the overlying “Sables ocre” makes up the Kalahari Supergroup. Sedimentological and geochemical analyses have enabled us to characterize these sandstones and determine their origin, the conditions of their formation and the tectonic context in which they were developed. The results show that the sandstones are quartz arenites with a high level of mineralogical, textural and chemical maturity. They are recycled sandstones, formed in an intracratonic sedimentary basin, in the context of a passive continental margin, after a long fluvial transport of sediments. These sandstones initially come from intense alteration of magmatic rocks with felsic composition, mainly tonalite-trondhjemite-granodiorite (TTG) complexes, in hot, humid palaeoclimatic conditions and oxidizing environments.

Modeling the Spatio-Temporal Dynamics of Local Context for a Contextualized Diffusion of Agroecological Intensification Options in Niger

Spatio-temporal variability and dynamics in Sahelian agro-pastoral zones make each local situation a special case. These specificities must be considered to guide the dissemination of agricultural options with a view to sustainable development. The territorial scale of municipalities is not sufficient for this necessary contextualization;the scale of the “village terroir” seems to be a better option. This is the hypothesis we put forward in the framework of the Global Collaboration for Resilient Food Systems program (CRFS), i.e. local context is spatially defined by village terroir. The study is based on data collected through participatory mapping and surveys in “village terroirs” in three regions of Niger (Maradi, Dosso and Tillabéri). Then the links between farm managers and their cultivated land, as well as the spatio-temporal dynamics of local context are analyzed. This study provides evidence of the existence and functional usefulness of the village terroir for farmers, their land management and their activities. It demonstrates the usefulness of contextualizing agricultural options at this scale. Their analysis elucidates the links between “terroirs village” and the specific functioning of the agrosocio-ecosystems acting on each of them, thus laying the systemic and geographical foundations for a model of the spatio- temporal dynamics of “village terroirs”. This initial work has opened up new perspectives in modeling and sustainable development.

Context Capture在车辆三维建模中的应用

无人机倾斜摄影技术和Context Capture因具有自动化程度高、建模精度和效率高等特点而被广泛应用于三维建模中。本文使用无人机倾斜摄影技术和Context Capture分别对一辆SUV和一辆三厢轿车进行了三维建模,并对其进行了精度分析。结果表明,采用多条航线的无人机拍摄策略可以充分捕捉车辆各个侧面的细节信息。使用Context Capture构建的车辆三维模型细节清晰可辨,真实地反映了车辆外形。车辆特征点实测数据与航拍数据之间的最大相对误差为0.9%,确保了车辆三维建模的精度要求。

Extended context-based semantic communication system for text transmission

Context information is significant for semantic extraction and recovery of messages in semantic communication.However,context information is not fully utilized in the existing semantic communication systems since re-lationships between sentences are often ignored.In this paper,we propose an Extended Context-based Semantic Communication(ECSC)system for text transmission,in which context information within and between sentences is explored for semantic representation and recovery.At the encoder,self-attention and segment-level relative attention are used to extract context information within and between sentences,respectively.In addition,a gate mechanism is adopted at the encoder to incorporate the context information from different ranges.At the decoder,Transformer-XL is introduced to obtain more semantic information from the historical communication processes for semantic recovery.Simulation results show the effectiveness of our proposed model in improving the semantic accuracy between transmitted and recovered messages under various channel conditions.

MSC-YOLO:Improved YOLOv7 Based on Multi-Scale Spatial Context for Small Object Detection in UAV-View

Accurately identifying small objects in high-resolution aerial images presents a complex and crucial task in thefield of small object detection on unmanned aerial vehicles(UAVs).This task is challenging due to variations inUAV flight altitude,differences in object scales,as well as factors like flight speed and motion blur.To enhancethe detection efficacy of small targets in drone aerial imagery,we propose an enhanced You Only Look Onceversion 7(YOLOv7)algorithm based on multi-scale spatial context.We build the MSC-YOLO model,whichincorporates an additional prediction head,denoted as P2,to improve adaptability for small objects.We replaceconventional downsampling with a Spatial-to-Depth Convolutional Combination(CSPDC)module to mitigatethe loss of intricate feature details related to small objects.Furthermore,we propose a Spatial Context Pyramidwith Multi-Scale Attention(SCPMA)module,which captures spatial and channel-dependent features of smalltargets acrossmultiple scales.This module enhances the perception of spatial contextual features and the utilizationof multiscale feature information.On the Visdrone2023 and UAVDT datasets,MSC-YOLO achieves remarkableresults,outperforming the baseline method YOLOv7 by 3.0%in terms ofmean average precision(mAP).The MSCYOLOalgorithm proposed in this paper has demonstrated satisfactory performance in detecting small targets inUAV aerial photography,providing strong support for practical applications.

通用人工智能中的Long-Context技术分析

阐述通用人工智能中的Long-Context技术原理,提出该技术的解决方案,包括位置编码外推、注意力机制计算优化、模型结构优化和检索增强生成。分析硬件系统的瓶颈,探讨Long-Context在通用人工智能时代的发展趋势。

A Comparative Study of the L2 Pragmatic Competence of University Students in Hong Kong and the Chinese Mainland:The Contributions of Sociocultural Context and Linguistic Proficiency

This study investigates the differences in pragmatic competence between Hong Kong and Chinese mainland university students.Participants included 19 native speakers of English,115 Chinese mainland students,divided into those who had spent time abroad in an English-speaking country(CM A)and those who had not(CM NA),and 97 Hong Kong students,divided into those from an English-medium secondary school(Hong Kong EMI)and those from a Chinese-medium school(Hong Kong CMI).Linguistic proficiency was measured by a C-test,and pragmatic competence by a Metapragmatic Knowledge Test,an Irony Test and a Monologic Role Play.Group scores were compared using ANCOVAs to control for differences in proficiency.The results point to a continuum of pragmatic competence—EMI>CMI>CM A>CM NA—reflecting the groups’access to English in real-life contexts.The differences between the Hong Kong groups and the Chinese mainland groups were clearest in those tests measuring processing capacity(i.e.,Irony Response Time and the Monologic Role Play).CM A,but not CM NA,performed as well as the Hong Kong groups on measures of metapragmatic awareness.The results are discussed in terms of Bialystok’s(1993)distinction between analyzed representation and control of processing.

Heritage Communities in Consumer Contexts Spatial Production of Tourism Research-Take Qixian Zhao Yu Historical City as an Example

Taking Zhaoyu Historical City in Qixian County as an example,this paper explores the production process of tourism space in Zhaoyu Historical City in the context of consumption,based on Lefebvre's triadic dialectic theory.The study reveals that,driven by the development of tourism,subjects such as the government and planners possess absolute dominance over spatial representations,while residents demonstrate receptive and adaptive action strategies and social relations are reproduced,presenting a harmonious state.Further exploring the tourism community in the environmental performance of the subject of action,social relations,consumption demand,daily life practice,cultural capital,etc.,the daily life practice of the tourism community has transcended the original logic of tourism spatial production and has a certain extension.The mechanism analysis in this paper can help guide the healthy development of tourism space in the neighboring historical cities or communities and achieve the dual purpose of promoting the economic development of the community and heritage protection.

基于Context Capture多视角影像三维重建技术在藏品数字化中的应用

藏品是博物馆全部活动的物质基础。在博物馆数字化的浪潮中,藏品数字化是核心,而三维建模是藏品数字化的关键手段。多视角三维重建技术因其设备要求低、灵活性强、操作简单等优点成为藏品建模的重要手段。在考古领域,虽然Context Capture在空三精度、纹理映射质量、模型精度等方面具有优势,但由于其不能直接用于可移动文物建模,因此该软件应用较少。通过对采集到的影像预处理或对模型成果后期处理,使之能够用于文物藏品的建模,并对两种方式的优缺点进行比较。

基于Context-dependent嵌入的省级碳排放权分层分配策略研究

考虑省际资源禀赋差异,在ZSG-DEA模型中嵌入Context-dependent,以分层的方式构建渐进式改进资源分配模型,对2030年全国30个省份碳排放权进行分配。结果表明:效率值方面,全国总体效率较好,呈现出东西中地区依次降低的状态,各省份间效率值差距较大,传统能源大省(区)碳排放效率低下;碳排放权调整方面,陕西、山西、内蒙古3个效率值较低的省份需要做出较大的缩减量,而山东、广东等处于第一层有效前沿面的省份获得了相较之前更多的碳排放量;模型对比方面,在保证2030年碳排放目标基础上,C-ZSG-DEA模型在效率值的改进上和碳排放调整上都比其他模型要小,符合渐进式改进的理念。

大国竞争背景下新质生产力形成的理论逻辑与实现路径

新质生产力是习近平总书记基于大国竞争背景下我国发展阶段、发展环境、发展条件变化,作出的具有根本性、全局性、长远性的重大战略判断。在新一代信息技术加速突破应用、先进制造技术加速产业转型的新发展阶段,形成新质生产力既是构建新发展格局、推动高质量发展的必然要求,也是我国建设现代化经济体系的关键动能,关系我国在未来发展和国际竞争中赢得战略主动。新质生产力的内涵是以引领国际经济体系变革、重塑现代化产业体系、提升企业核心竞争力为目的,从传统生产力向新质生产力的演化升级应该包含国际竞争、国家优势和企业发展三个层面整个生产范式的转变。文章以马克思主义政治经济学、习近平经济思想、习近平生态文明思想为理论支撑,提出“新质生产力”的理论构建包括三个维度:一是微观载体——打造世界一流企业;二是中观治理——提升国际竞争优势;三是宏观发展——构建人类命运共同体。文章将新质生产力形成的理论逻辑和实践路径融入中国当前的发展战略中,从转变企业发展范式、重塑现代化产业体系和建设新的全球治理体系三个方面提出形成新质生产力的改革路径,三条路径相辅相成、协同发力,共同为新质生产力的形成注入活力,使得生产力发展更好地服务于中国高质量发展的战略定位。

创新联合体赋能新质生产力的理论机制与实践路径研究

新质生产力是推动经济社会高质量发展的内在要求和重要着力点,对构建科技创新与产业创新深度融合新模式新机制提出新要求。如何强化企业科技创新主体地位,发挥创新联合体这一“新质载体”的作用,成为推动产学研深度融合、加快科技成果向现实生产力转化和发展新质生产力的重要议题。基于扎根理论方法,提出创新联合体赋能新质生产力的“战略引领—市场导向—场景驱动”三维理论框架,进一步集合AI产业创新联合体赋能新质生产力的典型实践案例,提炼出加快培育先导能力、推进关键核心技术攻关、加速科技成果向现实生产力转化、构建现代化产业体系、提升国家创新体系整体效能等创新联合体赋能新质生产力的主要路径。揭示创新联合体赋能新质生产力的理论机制和路径,为国家和各地区高效协同统筹布局产业创新联合体,以科技创新推动产业创新,加快培育和发展新质生产力,扎实推进高质量发展,提供重要理论依据和实践启示。

基于情境感知和序列模式挖掘的气象学习资源推荐算法

随着互联网的快速发展,气象部门职工作为学习者可以获得的学习资源得到极大丰富。信息超载导致检索合适的在线学习资源时遇到了困难;学习者在不同学习环境和序列访问模式上也有不同的学习需求。但是,现有的推荐系统,如基于内容的推荐和协同过滤,没有结合学习者的情境和序列访问模式,推荐结果准确度不高。本文提出了一种结合情境感知、序列模式挖掘和协同过滤算法的混合推荐算法来为学习者推荐学习资源。混合推荐算法中,情境感知被用来整合学习者的情境信息,如知识水平和学习目标;序列模式挖掘被用来对网络日志进行挖掘,发现学习者的序列访问模式;协同过滤被用来根据学习者的情境数据和序列访问模式为目标学习者计算预测并生成建议。实验和应用效果表明,该混合推荐算法推荐的质量和准确性方面优于其他推荐算法。

数字情境下产品创新对新企业成长的影响

以数字情境下新企业为研究对象,构建产品创新、投机导向、不良竞争和新企业成长间的关系模型。通过对北京、深圳、上海等城市的350份新企业样本的实证研究发现:数字情境下产品创新积极影响新企业成长,即数字技术赋能新企业高效率整合内外部资源,以更好地发挥产品创新的推动作用;投机导向抑制了产品创新对新企业成长的积极影响,即投机导向越高,产品创新的积极影响受到制约越强;不良竞争行为抑制了产品创新对新企业成长的积极影响,即不良竞争行为越强,产品创新的积极影响受到制约越强。

图书馆史研究与编纂的历史逻辑

文章以历史观为出发点,在前人有关图书馆史研究与编纂研究的基础上,提出史料、史迹、史境、史脉、史识的历史逻辑理论;以中山大学图书馆百年馆史研究与编纂的实践为案例,从立足史料、呈现史迹、再现史境、传承史脉、端正史识五个方面系统阐释“五史”理论在实践中的具体运用,助益新时代图书馆史研究与图书馆史志编纂发展。

自然疗愈体系的当代发展及公共健康服务潜力

【目的】探讨自然疗愈(nature-based intervention,NBI)体系作为现代医疗技术的辅助手段在公共健康服务方面的应用潜力并提出未来展望。【方法】通过对自然疗愈蕴含的人类思想脉络和历史发展的梳理,界定自发的疗愈行为与专业化的自然疗法(nature-based therapy,NBT)的界限,揭示自然疗愈体系由民间自发的、依靠自然医学的疗愈方法,演化成为现代专业化、系统化医疗技术辅助手段的社会动因和运行机制,进一步归纳不同国家医疗照护机构中自然疗愈体系的分布与特点。【结果】结合欧美国家自然疗愈重要理论模型,进一步解析自然疗愈作用机制和广泛的健康效能,以及实施场所和服务人群。从历史演变及当代发展趋势来看,自然疗愈体系源自朴素的自然医学和民间传统,有着广泛的社会实施基础,在现代医疗技术的进步和社会需求的变化中,显示出更强大的生命力,具有天然的“平医”结合的良好背景。【结论】自然疗愈体系充分地利用了人与自然环境的同一性和基因同源性,在不同的历史进程中均获得了人类的青睐,成为一种低成本、高产出且科学便捷的疾病恢复和健康促进手段。基于循证研究,建立科学的分类、分级体系,形成完善的园艺实操模块和干预流程,自然疗愈将具有巨大的优势,有望成为人类未来潜在的非药物治疗或替代医学方法。

中国情境下的乡村创业:一个研究框架的构建

乡村创业是推进乡村产业振兴的关键抓手和实际切入点。“千村示范、万村整治”工程创造的成功经验和实践范例,不仅成为一份中国式现代化的乡村样本,还为我国乡村创业研究提供了丰富的素材,其中乡村情境是与创业活动紧密交互且不可剥离的要素,是实践和理论的研究焦点。通过梳理全球乡村创业研究脉络发现,异质性情境决定了乡村创业研究的侧重点,使不同区域开展的研究呈现发展不平衡且碎片化的特征。为推进我国乡村创业研究的内生理论发展,通过紧扣乡村创业活动与情境的互动这一核心特征,在梳理多维情境中乡村创业研究的基础上,构建中国情境下开展乡村创业研究的综合框架。该框架遵循资源依赖理论的逻辑,通过审视乡村情境各维度蕴含的资源,分析乡村创业同情境之间的资源依赖程度,强调最契合动态嵌入模式的选择。在时间、空间双重维度中,该嵌入模式的动态特征决定了乡村创业实现路径会不断演化甚至有双元嵌入融合的可能。结论进一步厘清了乡村创业的理论边界,有助于我国乡村创业研究的理论化和系统化发展,表明在学习“千村示范、万村整治”工程所蕴含的发展理念、工作方法和推进机制时需要因地制宜,分类施策,以当地乡村情境为核心,合理编排相适配的资源,选择恰当的嵌入模式以促进当地产业有序、良性发展。

轻量级重参数化的遥感图像超分辨率重建网络设计

针对当前基于深度学习的遥感图像超分辨率重建模型部署时对硬件要求较高,本文设计了一种轻量级基于重参数化的残差特征遥感图像超分辨率重建网络。首先,采用重参数化方法设计了一种残差局部特征模块,以有效地提取图像局部特征;同时考虑到图像内部出现的相似特征,设计了一个轻量级的全局上下文模块对图像的相似特征进行关联以提升网络的特征表达能力,并通过调整该模块的通道压缩倍数来减少模型的参数量和改善模型的性能;最后,在上采样模块前使用多层特征融合模块聚合所有的深度特征,以产生更全面的特征表示。在UC Merced遥感数据集上进行测试,该算法在遥感图像3倍超分辨率下的参数量为539 K,峰值信噪比为30.01 dB,结构相似性为0.8449,模型的推理时间为0.010 s;而HSENet算法的参数量为5470 K,峰值信噪比为30.00 dB,结构相似性为0.8420,模型的推理时间为0.059 s。实验结果表明,该算法相比HSENet算法,参数量更少,运行速度较快,且峰值信噪比与结构相似性也有一定的提高。在DIV2K自然图像数据集上进行测试,该算法的峰值信噪比和结构相似性相比其他算法也有一定的优势,表明该算法的泛化能力较强。

加快建设教育强国的语境分析与战略推进

新形势下,加快建设教育强国,要明确当前教育发展的战略语境,找准教育发展的现实起点,回应教育发展的主要矛盾,在战略上主动、在效果上现实地服务全面建设社会主义现代化国家的目标指向。要从多端多维加快建设教育强国,建设教育事业强国、教育服务强国、教育投入强国、教育治理强国、教育学术强国、教育生态强国。要明确加快建设教育强国的推进逻辑,坚持建设教育强国“双优先”的战略定位,同步提高教育投入水平与办学效率,高度重视教育的溢出效应与办学主体的激励相容,科学布局各级教育发展主导任务的价值位序,充分释放人人成才教育与英才教育的发展红利。