Construction Of Space Research Articles

A critical cognitive analysis of Japan’s nuclear contaminated water discharge discourse

This research investigates the use of compound image schemas in the discourse surrounding Japan’s nuclear wastewater discharge. By analyzing editorials from Asahi Shimbun, this study reveals how discourse producers, from government bodies to media outlets, employ image schemas to navigate, shape, and legitimize their stances on this contentious issue. The investigation identifies the prevalent use of PATH and CONTAINER schemas, facilitating the construction of complex narrative spaces that define “in-group” and “out-group” dynamics, thereby guiding public perception and discourse participation towards an implicit endorsement of specific policy directions. The findings highlight the dynamic interplay between micro-level discourse strategies and macro-level cognitive frameworks, projecting tailored narratives into the public sphere. This projection, rooted in sophisticated cognitive mechanisms, illustrates the strategic use of discourse to influence public opinion and legitimize environmental policy decisions, reflecting broader social implications and the power of discourse in shaping environmental risk perceptions.

Sequence-Defined Synthesis Enabled by Fast and Living Anionic Monoaddition of Vinyl Monomers.

The selective monoaddition of polymerizable vinyl monomers like styrenes and methacrylates in a living manner has been achieved for the flash-flow preparation of molecules in a defined sequence with high selectivity. We demonstrated the sequence-defined synthesis of multifunctional molecules using an initiator, functionalized styrenes, diarylethylenes, various methacrylates, and an electrophilic trapping reagent at the living terminus (six-component sequential connection at maximum) without any intermediate purification steps. The anionic living terminus of the vinyl monomers in the flow system described herein is active for polymerization, such that the styrene or methacrylate sequence can be expanded to afford highly dispersed oligomers without affecting other single units, which means that the unequivocal sequences were successfully inserted into the internal or terminal positions. The methodology described herein provides an adaptable method for the construction of new molecular spaces based on unimolecular sequence control and pinpoint functionalization.

Sequence‐Defined Synthesis Enabled by Fast and Living Anionic Monoaddition of Vinyl Monomers

The selective monoaddition of polymerizable vinyl monomers like styrenes and methacrylates in a living manner has been achieved for the flash‐flow preparation of molecules in a defined sequence with high selectivity. We demonstrated the sequence‐defined synthesis of multifunctional molecules using an initiator, functionalized styrenes, diarylethylenes, various methacrylates, and an electrophilic trapping reagent at the living terminus (six‐component sequential connection at maximum) without any intermediate purification steps. The anionic living terminus of the vinyl monomers in the flow system described herein is active for polymerization, such that the styrene or methacrylate sequence can be expanded to afford highly dispersed oligomers without affecting other single units, which means that the unequivocal sequences were successfully inserted into the internal or terminal positions. The methodology described herein provides an adaptable method for the construction of new molecular spaces based on unimolecular sequence control and pinpoint functionalization.

Embedding space approach to Jackiw-Teitelboim gravity

We present a coordinate-free background space construction of Euclidean Jackiw-Teitelboim gravity. It is written as a gauge theory obtained from the Killing vectors and conformal Killing vectors of a hyperboloid embedded in a three-dimensional background. A novel feature of the gauge theory is that vanishing field strength does not necessarily imply that the gauge potentials (written in the embedding space) are pure gauges, not even locally. On the other hand, the projection of the potentials along the hyperboloid are pure gauges, as is the case in the standard approach. As is usual, metric tensors are dynamically generated from the classical solutions of the theory, which here do not rely on coordinate charts on the two-dimensional surface. We find a special class of solutions whereby the derived metric tensor on the surface is the induced metric from the background space. The gauge theory construction given here has a natural generalization to a noncommutative space, which does not require the use of coordinates, symbols, or a star product. Published by the American Physical Society 2024

Walking histories: narratives of young urban dancers in the city of Rio de Janeiro (Brazil)

ABSTRACT The aim of the study is to investigate the construction of street dances in the city of Rio de Janeiro, describing urban dancers and their daily ‘art of doing’, listening to their voices and observing their physical and virtual interactions. In this paper, a specific methodological approach is applied towards a tactical plan in order to understand the urban dance phenomenon within the universe of hip-hop culture. This particular approach includes the analysis of eleven narratives of young dancers and their everyday experiences, their personal life stories, interlinked with categories such as masculinity and business. The results reveal the complexity of hip-hop and street-dance culture in general, and specifically among young Brazilians. The narratives of these young men have provided an effective means for representing hip-hop dancers’ concerns and bodily articulations in order to comprehend their dance practice and the construction of spaces, but also indicate aesthetic and commercial dimensions.

Leverage Effect of New-Built Green Spaces on Housing Prices in a Rapidly Urbanizing Chinese City: Regional Disparities, Impact Periodicity, and Park Size

While newly built urban green spaces aim to address environmental concerns, the resulting green gentrification and social inequality caused by escalating property values have become critical topics of urban socio-spatial research. To prevent green initiatives from becoming unaffordable for their intended beneficiaries in rapidly urbanizing cities, it is essential to examine the spatial and temporal relationships between the construction of new green spaces and rising housing prices. This study employs a difference-in-differences methodology to analyze regional disparities, impact periodicity, and the influence of park size on housing prices, using Nanjing, China as a case study. This result reveals that the introduction of new-built parks in Nanjing significantly impacts housing prices within an 800 m radius. The premium effect of these parks is substantially higher in urban core areas compared to suburban locales, demonstrating spatial differentials. Suburban parks temporally exhibit a prolonged lag and a shorter premium impact duration. Moreover, among various park areas, medium-sized parks demonstrate the most pronounced leverage effect, approximately double that of large parks, while small parks do not significantly affect housing prices. To mitigate the exacerbation of premium effects and enhance social justice in green strategies, we advocate prioritizing the development of small parks, particularly in urban core areas, and leveraging the temporal delay in new-built park impacts for urban policy interventions.

Convergence of an adaptive C0-interior penalty Galerkin method for the biharmonic problem

Abstract We develop a basic convergence analysis for an adaptive ${C}^{0}\mathsf{IPG}$ method for the biharmonic problem that provides convergence without rates for all practically relevant marking strategies and all penalty parameters assuring coercivity of the method. The analysis hinges on embedding properties of (broken) Sobolev and BV spaces, and the construction of a suitable limit space. In contrast to the previous convergence result of adaptive discontinuous Galerkin methods for elliptic PDEs, here we have to deal with the fact that the Lagrange finite element spaces may possibly contain no proper $C^{1}$-conforming subspace. This prevents from a straight forward generalization and requires the development of some new key technical tools.

Pre-measure spaces and pre-integration spaces in predicative Bishop-Cheng measure theory

Bishop's measure theory (BMT) is an abstraction of the measure theory of a locally compact metric space $X$, and the use of an informal notion of a set-indexed family of complemented subsets is crucial to its predicative character. The more general Bishop-Cheng measure theory (BCMT) is a constructive version of the classical Daniell approach to measure and integration, and highly impredicative, as many of its fundamental notions, such as the integration space of $p$-integrable functions $L^p$, rely on quantification over proper classes (from the constructive point of view). In this paper we introduce the notions of a pre-measure and pre-integration space, a predicative variation of the Bishop-Cheng notion of a measure space and of an integration space, respectively. Working within Bishop Set Theory (BST), and using the theory of set-indexed families of complemented subsets and set-indexed families of real-valued partial functions within BST, we apply the implicit, predicative spirit of BMT to BCMT. As a first example, we present the pre-measure space of complemented detachable subsets of a set $X$ with the Dirac-measure, concentrated at a single point. Furthermore, we translate in our predicative framework the non-trivial, Bishop-Cheng construction of an integration space from a given measure space, showing that a pre-measure space induces the pre-integration space of simple functions associated to it. Finally, a predicative construction of the canonically integrable functions $L^1$, as the completion of an integration space, is included.

ChemAP: predicting drug approval with chemical structures before clinical trial phase by leveraging multi-modal embedding space and knowledge distillation

Recent studies showed that the likelihood of drug approval can be predicted with clinical data and structure information of drug using computational approaches. Predicting the likelihood of drug approval can be innovative and of high impact. However, models that leverage clinical data are applicable only in clinical stages, which is not very practical. Prioritizing drug candidates and early-stage decision-making in the de novo drug development process is crucial in pharmaceutical research to optimize resource allocation. For early-stage decision-making, we need a computational model that uses only chemical structures. This seemingly impossible task may utilize the predictive power with multi-modal features including clinical data. In this work, we introduce ChemAP (Chemical structure-based drug Approval Predictor), a novel deep learning scheme for drug approval prediction in the early-stage drug discovery phase. ChemAP aims to enhance the possibility of early-stage decision-making by enriching semantic knowledge to fill in the gap between multi-modal and single-modal chemical spaces through knowledge distillation techniques. This approach facilitates the effective construction of chemical space solely from chemical structure data, guided by multi-modal knowledge related to efficacy, such as clinical trials and patents of drugs. In this study, ChemAP achieved state-of-the-art performance, outperforming both traditional machine learning and deep learning models in drug approval prediction, with AUROC and AUPRC scores of 0.782 and 0.842 respectively on the drug approval benchmark dataset. Additionally, we demonstrated its generalizability by outperforming baseline models on a recent external dataset, which included drugs from the 2023 FDA-approved list and the 2024 clinical trial failure drug list, achieving AUROC and AUPRC scores of 0.694 and 0.851. These results demonstrate that ChemAP is an effective method in predicting drug approval only with chemical structure information of drug so that decision-making can be done at the early stages of drug development process. To the best of our knowledge, our work is the first of its kind to show that prediction of drug approval is possible only with structure information of drug by defining the chemical space of approved and unapproved drugs using deep learning technology.

L'espace vécu and Its Perturbations in Schizophrenia: Systematic Review and Meta-analysis of Altered Body-Centric Metrics-Personal and Peripersonal Space.

Subtle distortions of the experience of lived space have long been associated with schizophrenia. Although a body-centric transformation of space is considered an essential component of anomalous subjective experience in schizophrenia, its impact on the 2 major body-centric spatial constructs, that is, personal space (PS) and peripersonal space (PPS), is still not clear. This systematic review and meta-analysis have been set up to: (1) summarize the evidence on putative extensional differences of PS and PPS in schizophrenia as compared with controls, and (2) evaluate the quality and the limitations of available studies on the topic. Four electronic literature databases (MEDLINE, EMBASE, PsychINFO, and CINAHL) were searched with the keywords "Personal space OR Interpersonal distance AND Schizophrenia," "Peripersonal space AND Schizophrenia" from inception until December 31, 2023, resulting in 15 studies on PS and 5 studies on PPS included in this systematic review. The 12 studies on PS included in the meta-analysis revealed that individuals with a diagnosis of schizophrenia place a larger interpersonal distance from the stimuli than controls, with a moderate effect size in both the fixed-effect model (Hedges' g = 0.558 [95% confidence interval, CI: 0.445-0.671]; z = 9.67; P < 0.0001) and the random effects model (0.547 [0.294-0.799]; z = 4.77; P = 0.0006). The 5 studies included in the meta-analysis on PPS showed that individuals with a diagnosis of schizophrenia exhibit a narrower PPS than the controls at the fixed-effect (Hedges' g = 1.043 [95%CI: .739-1.348]; z = 6.72; P < .0001), but not at the random effects model (1.318 [-0.721 to 3.359]; z = 1.79; P = .147). Heterogeneity was substantial in both meta-analyses. Overall, the findings indicate that both body-centered space constructs (PS and PPS) are affected in schizophrenia, with an enlargement PS and a reduction PPS, thereby supporting the distinction of these constructs. These modifications cohere with the subjective transformation of the lived space (aka espace vécu) reported in classical psychopathology and may be promising, neurodevelopmentally grounded, biomarkers of vulnerability to schizophrenia and its spectrum conditions.

Building sustainable mitigation through adaptive green open space on tanjung mas sub district

Abstract Mitigation is a step to reduce the risk of disasters in a particular area. Tanjung Mas sub-district is an area that has a high potential for land subsidence and tidal flooding because it is located on the North Coast of Java. Temporary evacuation points are urgently needed to protect residents from the dangers of tidal floods and distribute logistics from volunteers. Based on community preferences, the Green Open Space in Tambak Lorok are used as an evacuation point for flood disasters. The green open space, which was initially used for sustainable water absorption, was converted into an evacuation point as a flood disaster mitigation measure. This research aims to measure the suitability of green open space as a temporary evacuation site. The research method used is a Space Syntax approach and qualitative description analysis. Based on the results of the analysis, almost all the requirements for evacuation places by the green open space location. It is easily accessible because it is on the primary residential route, easily accessible by vehicles, and has building structures higher than the road. However, the area of green open space still needs to be increased for the minimum standard capacity per person. Apart from that, the infrastructure to support evacuation, such as electricity, communication equipment, or rubber boats, needs to be improved. The construction of green open space as a temporary evacuation site needs to be adjusted to minimum standards and the needs of the population. It is also hoped that the development of green open space will be the responsibility of not only the government but also cooperation between stakeholders. Green open space isn’t just for environment impacts, but can also increase the community resilience.

New method of evaluating spatial quality for innovation districts: A case study of Haidian and Chaoyang districts, Beijing

Science and technology innovation has become the core driving force of urban development, and innovation spaces as the carriers of innovation activities have evolved continuously, forming the emerging model of innovation districts in recent years. However, the evaluation standard of innovation spaces has not changed with the evolution of the model, and the evaluation method that focuses on economic benefits still dominates the mainstream. As a result, the construction of innovation spaces around these indicators and guidelines lags behind the advanced level.In this paper, we have systematically sorted out the relevant research progress of innovation districts, established a set of cases with global typicality, combined the dual attributes of “innovation characteristics + urban characteristics,” constructed a research framework for the spatial quality of innovation districts based on the dual perspectives of “innovation space,” and summarized the spatial quality evaluation model through analysis. We do an empirical study on Haidian District to find out how well innovation districts work in terms of space, find typical clusters, and come up with the most important aspects of their space quality. In order to observe the applicability of this method, it is also applied to the urban health check-up in Chaoyang District, Beijing. Through the expert seminar, the evaluation and analysis method of spatial quality of innovative urban areas is further verified and discussed. The results show that the integration of innovative urban areas and urban structures, and the collaborative development of innovative industries and high-quality spaces are the keys to promote the common development of innovative economy and cities. The new evaluation method can effectively measure the quality of innovation spaces, and has certain transferability.

On generalized Sidon spaces

Sidon spaces have been introduced by Bachoc, Serra and Zémor as the q-analogue of Sidon sets, classical combinatorial objects introduced by Simon Szidon. In 2018 Roth, Raviv and Tamo introduced the notion of r-Sidon spaces, as an extension of Sidon spaces, which may be seen as the q-analogue of Br-sets, a generalization of classical Sidon sets. Thanks to their work, the interest on Sidon spaces has increased quickly because of their connection with cyclic subspace codes they pointed out. This class of codes turned out to be of interest since they can be used in random linear network coding. In this work we focus on a particular class of them, the one-orbit cyclic subspace codes, through the investigation of some properties of Sidon spaces and r-Sidon spaces, providing some upper and lower bounds on the possible dimension of their r-span and showing explicit constructions in the case in which the upper bound is achieved. Moreover, we provide further constructions of r-Sidon spaces, arising from algebraic and combinatorial objects, and we show examples of Br-sets constructed by means of them.

Knowledge graph construction in hyperbolic space for automatic image annotation

Automatic image annotation (AIA) is a fundamental and challenging task in computer vision. Considering the correlations between tags can lead to more accurate image understanding, benefiting various applications, including image retrieval and visual search. While many attempts have been made to incorporate tag correlations in annotation models, the method of constructing a knowledge graph based on external knowledge sources and hyperbolic space has not been explored. In this paper, we create an attributed knowledge graph based on vocabulary, integrate external knowledge sources such as WordNet, and utilize hyperbolic word embeddings for the tag representations. These embeddings provide a sophisticated tag representation that captures hierarchical and complex correlations more effectively, enhancing the image annotation results. In addition, leveraging external knowledge sources enhances contextuality and significantly enriches existing AIA datasets. We exploit two deep learning-based models, the Relational Graph Convolutional Network (R-GCN) and the Vision Transformer (ViT), to extract the input features. We apply two R-GCN operations to obtain word descriptors and fuse them with the extracted visual features. We evaluate the proposed approach using three public benchmark datasets. Our experimental results demonstrate that the proposed architecture achieves state-of-the-art performance across most metrics on Corel5k, ESP Game, and IAPRTC-12.

Пространственное измерение бытия в поэзии Инны Кашежевой

The work examines the features of the construction of space and the role of its individual details at different stages of Inna Kashezheva’s poetic creativity. In view of the ideas that have become entrenched in Russian literary criticism, the “spatial-ethical field” of the poetic “I”. Kashezheva’s poetic “I” has been explored. The importance of visual perceptions in her work is highlighted. Nu-ances of perception of Caucasian geography are exposed, as are the expressive features of the spa-tial pictures she depicts: sound, light, movement, and their modifications throughout time, as well as the influence of time on the semantics of space. Landscape and interior space-related episodes are examined, and spatial aspects associated with the intimate and personal experiences of the po-etic “I” are highlighted. The image of silence plays an active role in adult creativity. Conclusions are formed about the type of space that best fits the worldview of I. Kashezheva’s lyrical “I”.

Engineering Origami: A Systematic Literature Review in the context of Space Technology, Design, and Applications

Abstract: Origami is the ancient art of Japanese paper folding. For years it has been used to create stunning works of art. But origami has also been used in more surprising ways, like car airbags, stents, and even space exploration. Origami is a bit more than just a paper crane. Engineers use it for use, solve the interesting problems. Origami teaches how to fold very large thin sheets into very small spaces. And that's exactly what space engineers need. The reason for incorporating origami for space applications is to launch structures in space that are just amazingly big using flashers, starshade folding, tessellations, etc. So being able to fold these structures such that they fit neatly within our rocket and then unfold when they get to space. The researcher has attempted to do a literature review and to demonstrate how origami can be used in aerospace engineering and related fields. Innovative aerospace solutions such as morphing aircraft wings and deployable space constructions are made possible by the principles of origami. Using sophisticated modelling and simulation tools is essential for creating intricate origami structures for aerospace applications.

Revitalization of urban industrial heritage from a perspective of spatial production theory: the case study of “Old market” project

ABSTRACT The renewal of urban industrial heritage brings many benefits, meanwhile facing challenges, and there is a lack of in-depth and specific case study analysis. Based on spatial production theory, this paper takes an iconic project as an example to explore its construction process and reveal the spatial and social changes it triggers. This case study investigates the changes in physical and social spaces resulting from the shift in the subjects of spatial production. By analyzing document data, spatial data, and field data, the following key findings and conclusions are obtained: 1) Capital led the regeneration process, transformed decaying factory buildings into consumer space, and activated the economic vitality of the area. 2) The construction of the physical space changed the spatial layout, structure and function that attracted the creative community and young visitors, changing daily lives of the space users. 3) However, the neglect of industrial culture and participation of nearby residents are obvious challenges. The results indicate that using spatial production as a theoretical analysis framework helps us fully understand the challenges faced in the renewal of urban industrial heritage projects. This study can provide a reference for small-scale urban heritage renewal projects, facilitating accurate decision-making.

Spatial Economy Research: Trends, Problems and Priorities

The article provides a brief overview of research in the field of spatial economics. Among the identified trends in the development of these studies is the expansion of the theoretical construction of economic space, which at different stages included more and more new elements; at the moment this trend has exhausted itself and produces destructive works without reference to specific problems. The second trend is associated with the movement towards the synchronization of all factors of spatial economy development due to the neutralization of individual influences from the established territorial environment. The third trend has led to the exhaustion of specific analytical tools of spatial economy and their unification, bringing to the forefront the thoughtfulness of the initial problem statement and the conjugation of the analytical results with the practice of state regulation. The result of many years of development of the spatial economy problematics was noticeable success in descriptive modeling against the background of almost complete failure in its normative part: we know a lot about what the development of territories depends on, but the parameters of the spatial economy are beyond the influence of federal and regional management systems. The most promising directions of research in this area are discussed. Two of them are highlighted: turning academic research into the first step of comprehensive design of territorial development and integrating it into the format of modern reform theory; intensifying the study of the issues of innovation diffusion between territories in order to reduce interregional gaps in development. A two-step mechanism of borrowing achievements between territories is proposed, based on the combination of the procedure of stimulating advanced regions with the subsequent transfer of their experience and technological results to lagging territories.

Research on the Identification, Network Construction, and Optimization of Ecological Spaces in Metropolitan Areas Based on the Concept of Production-Living-Ecological Space

In the strategic orientation of promoting high-quality development of metropolitan areas, ecological space is not only the core carrier for maintaining regional ecological balance and harmony but also a key element in shaping the scientific layout of metropolitan areas and promoting harmonious coexistence between cities and nature. This paper takes the Chang-Zhu-Tan metropolitan area as the research object and identifies and classifies ecological space based on the “Production-Life-Ecology” concept, extracts core ecological source areas through the minimum resistance model, and generates ecological resistance surfaces. Then, three types of ecological space corridors are constructed by using the MCR gravity model. This study finds that the ecological space in the Chang-Zhu-Tan metropolitan area is seriously fragmented, the number of corridors is insufficient, and the spatial configuration of the “Production-Life-Ecology” is imbalanced in the region and proposes optimization models and strategies in combination with the spatial network approach to identify and classify ecological space patterns for the metropolitan area. Accordingly, the study proposes optimization models and strategies based on the spatial network approach to provide theoretical support and practical guidance for the ecological spatial pattern and sustainable development of the metropolitan area.

What Is the Spatial Construction in The Process of Community Governance

Based on the case of Community A and Fishing Village B in City S, this study delves into the multidimensional transformation of spatial construction in the process of community governance and the influencing factors behind it. The study employs snowball interviews and participant observation to reveal the interplay between institutional change and spatial transformation in community governance and how the two together affect the outcome of the constructs. Community A, as a representative of an urban community, has a spatial trans-formation that is mainly manifested in the construction of social space, whereas Fishing Village B demonstrates the evolution of both physical and social space from traditional fisheries to modern tourism. The study finds that national and local policies have an important influence on community spatial planning, while factors such as social relations, organizational capacity, and residents' willingness within the community also play a key role in spatial construction. The article suggests that community governance should deepen the leading role of party building, implement the concept of resilient governance, and optimize the benefit distribution mechanism to promote the harmonious and sustainable development of communities.