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.

Shanghai "Maker" Urban Culture Construction in the Context of Big Cloud Movement

Shanghai should orient its development to becoming a global science and technology innovation center. Now,it plans to launch a strategic research of new round of development in 2050,carry out future urban planning research in 2040,and started start the implementation of thirteenth five-year development planning research. In this process,it is required to fully consider the impact of a new round of scientific and technological revolution and industrial reform,include the construction of global innovation center into the layout of the future development of Shanghai,formulate global scientific and technological innovation center development strategy,and further make clear the leading and support function of scientific and technological innovation to economic and social development of Shanghai. This paper analyzed the relationship between Big Cloud Movement and " Maker",and the necessities for cultivating " Maker" urban culture to building Shanghai global scientific and technological innovation center. On this basis,it elaborated and analyzed how to integrate the Maker Culture into Shanghai urban culture. Finally,it came up with recommendations for establishing Shanghai " Maker" urban culture.

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.

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.

Megacity pathways in China under the dual carbon goal:The case of Shanghai

The pathways to achieving carbon neutrality at the city level are diverse due to varying energy supply and demand conditions.Shanghai faces obstacles such as limited land resources,high costs of renewable energy technologies,and instability of renewable energy.These challenges hinder the city’s efforts to achieve carbon peak and carbon neutrality(dual carbon).Therefore,Shanghai must identify and optimize its development path for renewable energy under the dual carbon goal.We employed the Low Emissions Analysis Platform Shanghai(LEAP-SH)model to simulate the impact of policies,such as industrial upgrading,energy efficiency improvement,energy structure optimization,increased technical innovation on energy,and ecological restoration,on the carbon emission pathways from 2022 to 2060 using five different scenarios.Our results indicate that Shanghai has the potential to achieve carbon neutrality in 2059 by promoting carbon reduction,pollution control,and green expansion.Moreover,we determined that the manufacturing industry;power generation industry;and transportation,storage,and mail services are the three major sectors for emission reduction under the dual carbon goal.Furthermore,the capacity and output of coal-fired power plants will be gradually replaced by offshore wind power in the dual carbon pathway.Finally,this study proposes countermeasures and suggestions for Shanghai to attain the dual carbon goal and high-quality development.

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.

The 2022 Extreme Heatwave in Shanghai,Lower Reaches of the Yangtze River Valley:Combined Influences of Multiscale Variabilities

In the summer of 2022,China(especially the Yangtze River Valley,YRV)suffered its strongest heatwave(HW)event since 1961.In this study,we examined the influences of multiscale variabilities on the 2022 extreme HW in the lower reaches of the YRV,focusing on the city of Shanghai.We found that about 1/3 of the 2022 HW days in Shanghai can be attributed to the long-term warming trend of global warming.During mid-summer of 2022,an enhanced western Pacific subtropical high(WPSH)and anomalous double blockings over the Ural Mountains and Sea of Okhotsk,respectively,were associated with the persistently anomalous high pressure over the YRV,leading to the extreme HW.The Pacific Decadal Oscillation played a major role in the anomalous blocking pattern associated with the HW at the decadal time scale.Also,the positive phase of the Atlantic Multidecadal Oscillation may have contributed to regulating the formation of the double-blocking pattern.Anomalous warming of both the warm pool of the western Pacific and tropical North Atlantic at the interannual time scale may also have favored the persistency of the double blocking and the anomalously strong WPSH.At the subseasonal time scale,the anomalously frequent phases 2-5 of the canonical northward propagating variability of boreal summer intraseasonal oscillation associated with the anomalous propagation of a weak Madden-Julian Oscillation suppressed the convection over the YRV and also contributed to the HW.Therefore,the 2022 extreme HW originated from multiscale forcing including both the climate warming trend and air-sea interaction at multiple time scales.

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。

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.

Status,outcome,and related factors of postpartum hypertension in the Shanghai community

BACKGROUND Postpartum hypertension poses a considerable health risk.Despite research on gestational hypertension,comprehensive studies focusing on postpartum hypertension in communities are limited.Understanding its prevalence and associated risk factors is crucial for effective prevention and management.AIM To provide insights for postpartum hypertension’s prevention and management.METHODS In total,3297 women who gave birth between June 2021 and December 2022 in Xuhui District,Shanghai were selected.Blood pressure was measured thrice within one month post-delivery during home visits.Eighty-six women with hypertension were followed up for four months to analyze hypertension persistence and its related risk factors.A predictive model for persistent postpartum hypertension was established and verified using the Nomo diagram model.RESULTS Hypertension prevalence 1 month post-delivery was 2.61%(86/3297).Among the 86 pregnant women,32(37.21%)had persistent hypertension at four months post-delivery.Multivariate logistic regression analysis revealed that older age[odds ratio(OR)=1.212;95%confidence interval(CI):1.065–1.380]and higher pre-pregnancy body mass index(BMI)(OR=1.188;95%CI:1.006–1.404)were associated with hypertension(OR=10.781;95%CI:1.006–1.404)during pregnancy.A 95%CI of 1.243–93.480 is a risk factor for persistent postpartum hypertension.The Nomograph model accurately predicted the risk of persistent postpartum hypertension,demonstrating high precision.CONCLUSION In Xuhui,older age,higher pre-pregnancy BMI,and gestational hypertension are risk factors for persistent postpartum hypertension.Our prediction model can identify high-risk individuals,thereby improving patient quality of life.

Paper Analysis of Shanghai Ocean University in Bibliometric Method from Web of Science

The data of this research was mainly collected from the Web of Science (WOS) and Incites database platform, which was filtered and cataloged according to the different platforms. For tracing the change in scientific research at Shanghai Ocean University, make use of Bibliometric analysis to get the image and table of highly cited papers and hot papers. In this study, the scientific aspects in highly cited papers and hot papers, published in the last year in the core collection of Web of Science, were taken as objects, and office software was used as the main tool to carry out bibliometric and figure analysis. From the four aspects to find the difference in these fields, the production of specific fields and cited times is inconsistent. And suggest the department and management adjust the policy and method via elastic personnel and rewards to prompt the advancement of the research fields.

The Study on the Spatial Narrative in Jin Yucheng’s Flowers of Shanghai

Spatial narrative,as a unique literary narrative technique,focuses on advancing the plot and shaping characters through meticulous portrayal of space,providing readers with rich visual and perceptual experiences.This paper examines the spatial narrative utilized in Jin Yucheng’s novel,Flowers of Shanghai.Through an in-depth analysis of the spatial narrative techniques in the novel,this paper asserts that such an exploration has far-reaching consequences in broadening research perspectives and fostering interdisciplinary collaborations between literature and geography.Furthermore,the paper explores the unique aspects of narrative perspective,narrative structure,and narrative time in Flowers of Shanghai,and how these elements perfectly combine with spatial narrative to create a fascinating literary world for readers.The aim of this study is to deeply explore the artistic value and literary charm of the novel through a comprehensive interpretation of the spatial narrative in Flowers of Shanghai.

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.

“Shanghai Summer”热浪滚滚

上海打造国际消费中心城市又一标志性品牌活动——首届“上海之夏”国际消费季已在烈日灼灼七月的上海铺展开来,“Shanghai Summer”的热度可谓海天云蒸、流金石。

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。

Analysis of China’s New Energy Vehicle Export Competitiveness in a Dual-Carbon Context

In the context of the dual-carbon goals(carbon peaking and carbon neutrality),China’s new energy vehicle industry,as a key component of the green economy,has increasingly attracted international attention for its export competitiveness.Drawing on the Porter Diamond Model,this paper selects four major variables—R&D investment,production factors,demand factors,and spare parts services—to establish a linear regression equation.Through this model,the trade competitiveness of China’s new energy vehicles is analyzed in detail,and corresponding suggestions are proposed to enhance the competitiveness index.It is anticipated that Chinese new energy vehicle enterprises can strengthen overseas competitiveness by advancing core technology innovation,improving comprehensive industrial chain management,and diversifying sales channels.

近代上海城市空间形态演进与时空特征研究(1843—1949)

城市空间形态综合反映了城市集聚地的产生、成长、形式、结构、功能和发展。通过对多种历史文献和地图资料的深入分析,可以将上海在1843年至1949年间的空间形态演变划分为六个明显不同的阶段:从“内外城”到“新旧城”,从“带状城”到“三向城”,以及从“块状城”到“主副城”。近代上海城市空间形态演进的时空特征揭示了城市在不同历史时期的制度、经济和文化等特征,可归结为:江河主轴、一路向海;圈层发展、走向开放;多元发展、异质交织。厘清这一城市空间形态历史演进的脉络,有助于我们挖掘更为丰富的城市历史人文内涵,把握未来城市空间形态发展、空间结构优化的方向和主线。

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。

指向社会责任的“海水稻渗透现象”主线式情境教学实践

以“渗透现象”一节教学为例,在“海水稻”这一主线真情境中,学生经历“起境、承境、转境、合境”等情境的变化。在问题生成、任务驱动下,积极地进行了科学实验探索,培养批判性思维、创新思维等科学思维能力和社会责任意识。