Construction Of Space Research Articles

Investigation of Influential Factors of Housing Price

The fluctuation of housing prices and its influencing factors are important research topics in economics. Under the current background of rapid globalization and urbanization, understanding the driving factors of housing prices is not only an important contribution to academic research but also has important guiding significance for policymakers and individual home buyers. This paper explores the key factors affecting housing prices, focusing on the impact of variables such as living space, land space, housing landscape, housing conditions, housing quality, and housing construction year on housing prices. This study uses multiple regression analysis to analyze the US housing price data set. The results show that living space, housing landscape, housing quality, and housing construction year have statistically significant effects on housing prices at a significance level of 1%. This study provides an effective reference to real estate developers, policymakers, and individual home buyers, which can help them understand market demand more deeply, make decisions that are more in line with market trends, and promote the dynamic and functional development of the real estate market.

Semantic enrichment for BIM-based building energy performance simulations using semantic textual similarity and fine-tuning multilingual LLM

To achieve the global targets of the Paris Agreement of limiting global warming, it is necessary to reduce the operational energy of buildings, which are responsible for around 30% of the global greenhouse gas emissions. Building Energy Performance Simulation (BEPS) is an established method to estimate the building’s energy demand in early design stages. Building Information Models (BIM) provides geometric and semantic information to create precise Building Energy Models (BEM) in early design stages. However, manual enrichment of missing semantic information is still a time-consuming and laborious process. Therefore, we propose a novel methodology to automatically enrich missing information to BIM using Semantic Textual Similarity (STS) and fine-tuned Large Language Models (LLM). For every IfcSpace, we match room-specific space types and constructions with missing thermal properties using the semantic most similar pairs of the BIM model and the according databases. We use three real-world case studies to fine-tune LLMs, and two case studies evaluate the whole methodology. Different fine-tuning strategies, such as using different loss functions, adding opposing word pairs or domain-specific abbreviations, significantly improve the accuracy of the matching. At the same time, however, findings show that semantic matching based on multilingual fine-tuned LLM performs worse than translated, monolingually fine-tuned LLM. Finally, BEPS results from automatically enriched BEM only slightly deviate from manually enriched BEM.

Language politics and prestige in The Walled City: an exploratory study of the linguistic landscape of Intramuros, Manila

Abstract Tupas and Lorente (2014. A ‘new’ politics of language in the Philippines: Bilingual education and the new challenge of the mother tongues. In Peter Sercombe & Ruanni Tupas (eds.), Language, education and nation-building: Assimilation and shift in Southeast Asia, 165–180. New York: Springer) contended that “the politics of language in the Philippines always featured the tension between English on the one hand and the vernacular languages on the other.” But how exactly does this language dynamic manifest itself in the linguistic landscapes (LL) of the Philippines? To explore this question, this paper conducted an exploratory LL analysis of Intramuros, the famed “Walled City” of Manila, using Scollon and Scollon’s (2003. Discourses in place: Language in the material world. London: Routledge) place semiotics and Ben-Rafael et al.’s (2006. Linguistic landscape as symbolic construction of the public space: The case of Israel. International Journal of Multilingualism 3(1). 7–30) top-down and bottom-up sign classification. It found that English-based signs are used to accommodate a global audience, i.e., foreign tourists, whereas Filipino-based signs are used to police and regulate the behavior of residents and, to a certain extent, local tourists. To conclude, it argued that by looking at its linguistic landscape, historical districts like Intramuros articulate beliefs and assumptions on language that, in turn, make them deeply political and ideological sites.

Exploring Intercultural Communication Through Identity Construction: A Case of YouTube Comments

This exploratory study examines the strategies used by commenters in the YouTube comment section to facilitate intercultural communication through identity construction in the digital space. Based on critical discourse analysis and the framework of identity regarding indexicality and othering, the study has analyzed 8 extracts selected from 7, 000 comments under one YouTube video talking about political stuff. The findings suggest that individuals could employ explicit ethnicity labeling, rhetorical questioning, othering processes, and humor as key strategies to showcase their cultural identity in intercultural arena. The purpose is to seek support or challenge viewpoints through personal experiences, with the aim of achieving acceptance. The study highlights the challenges posed by digital spaces in intercultural communication and emphasizes the need for further research to address the potential misunderstandings arising from cultural differences.

Strategies to Obtain Reliable Energy Landscapes from Embedded Multireference Correlated Wavefunction Methods for Surface Reactions.

Embedded correlated wavefunction (ECW) theory is a powerful tool for studying ground- and excited-state reaction mechanisms and associated energetics in heterogeneous catalysis. Several factors are important to obtaining reliable ECW energies, critically the construction of consistent active spaces (ASs) along reaction pathways when using a multireference correlated wavefunction (CW) method that relies on a subset of orbital spaces in the configuration interaction expansion to account for static electron correlation, e.g., complete AS self-consistent field theory, in addition to the adequate partitioning of the system into a cluster and environment, as well as the choice of a suitable basis set and number of states included in excited-state simulations. Here, we conducted a series of systematic studies to develop best-practice guidelines for ground- and excited-state ECW theory simulations, utilizing the decomposition of NH3 on Pd(111) as an example. We determine that ECW theory results are relatively insensitive to cluster size, the aug-cc-pVDZ basis set provides an adequate compromise between computational complexity and accuracy, and that a fixed-clean-surface approximation holds well for the derivation of the embedding potential. Additionally, we demonstrate that a merging approach, which involves generating ASs from the molecular fragments at each configuration, is preferable to a creeping approach, which utilizes ASs from adjacent structures as an initial guess, for the generation of consistent potential energy curves involving open-d-shell metal surfaces, and, finally, we show that it is essential to include bands of excited states in their entirety when simulating excited-state reaction pathways.

Quantifying the Wild: Public Acceptance and Challenges of Urban Wildscapes in Chiba, Japan

People’s reduced connection with nature has led to many health problems. In the NBS framework, urban wildscapes (UWSs) are considered an important solution. They can contribute to improving the health of residents and ecosystems within the city. However, overly wild green spaces may also be offensive to residents. It is necessary to understand the public’s acceptance of UWSs. Current studies on the acceptance of UWSs have used vague terms to generalize the “wildness degree”. In this study, we attempted to quantify the degree of wildness using plant height and plant abundance in Japan and analyzed the results through mediated effect analysis. We discovered the following: 1. Japanese residents have low acceptance of UWSs in vacant lots. 2. The use of “height” and “abundance” may be a more objective way to quantify wildness. 3. The negative effects of abundance can be minimized. The negative effect of height cannot be controlled. This study addresses a gap in the study of Asian cities and proposes a novel approach to quantifying “wildness.” It improves the health benefits of UWSs. Furthermore, it can offer guidance on the management and construction of urban green spaces.

Computably and punctually universal spaces

We prove that the standard computable presentation of the space C[0,1] of continuous real-valued functions on the unit interval is computably and punctually (primitively recursively) universal. From the perspective of modern computability theory, this settles a problem raised by Sierpiński in the 1940s.We prove that the original Urysohn's construction of the universal separable Polish space U is punctually universal. We also show that effectively compact, punctual Stone spaces are punctually homeomorphically embeddable into Cantor space 2ω; note that we do not require effective compactness be primitive recursive. We also prove that effective compactness cannot be dropped from the premises by constructing a counterexample.

Projects and Realities of Forming a Great Eurasian Space

Aim. Analyze three options for the development and construction of the Eurasian space (Russian, Chinese and Turkic) and identify the advantages and risks associated with both the expansion of integration processes and external influence on states that are members of coalitions of the nonWestern world.Tasks. To trace the evolution of supranational structural formations in the Eurasian space after the collapse of the Soviet Union and their appearance in declarations, agreements and other legal documents, starting with statements about “the formation and development of a common economic space, pan-European and Eurasian markets”.To identify the characteristic features of globalization of all spheres of human existence, which has given rise to the need to understand the “landscape of global risks”, “global existential catastrophe” as an event leading “to the end of the existence of our descendants”, which together determined the transition to the formation of nation states, geopolitical and geo-economic coalitions in the Greater Eurasia space (“Central Asian Five”, EEAS, SCO, CSTO, UTC).Results. The concept of three main projects for the construction of Greater Eurasia is substantiated: Russian, based on the revival of the Eurasian ideology of N. S. Trubetskoy, P. N. Savitsky and G. V. Vernadsky; the Chinese “Belt and Road”, aimed at transforming the idea of the Great Silk Road into a Community of a Common Destiny for Humanity; Turkic, claiming to recreate the Turkic civilization with the goal of “bringing world civilizations closer together” on the Eurasian continent.The author’s position is argued regarding the need to ensure coplanarity and unidirectionality of the three vectors of implementation of Eurasian projects with the consistency of political decisions and actions of the three poles of power in the Greater Eurasian space — Russia, China and Turkey.Conclusions. Currently, the coordination of political decisions and actions of the three poles of power in the Greater Eurasian space, taking into account the principles of convergence of national interests in interstate unions, global geopolitical processes of multi-agent interaction and global security strategy in a polycentric world, is becoming relevant.

Mixed finite elements for Kirchhoff–Love plate bending

We present a mixed finite element method with triangular and parallelogram meshes for the Kirchhoff–Love plate bending model. Critical ingredient is the construction of low-dimensional local spaces and appropriate degrees of freedom that provide conformity in terms of a sufficiently large tensor space and that allow for any kind of physically relevant Dirichlet and Neumann boundary conditions. For Dirichlet boundary conditions and polygonal plates, we prove quasi-optimal convergence of the mixed scheme. An a posteriori error estimator is derived for the special case of the biharmonic problem. Numerical results for regular and singular examples illustrate our findings. They confirm expected convergence rates and exemplify the performance of an adaptive algorithm steered by our error estimator.

Heffter spaces

The notion of a Heffter array, which received much attention in the last decade, is equivalent to a pair of orthogonal Heffter systems. In this paper we study the existence problem of a set of r mutually orthogonal Heffter systems for any r. Such a set is equivalent to a resolvable partial linear space of degree r whose parallel classes are Heffter systems: this is a new combinatorial design that we call a Heffter space. We present a series of direct constructions of Heffter spaces with odd block size and arbitrarily large degree r obtained with the crucial use of finite fields. Among the applications we establish, in particular, that if q=2kw+1 is a prime power with kw odd and k≥3, then there are at least ⌈w4k4⌉ mutually orthogonal k-cycle systems of order q.

Evolutionary Characteristics of Urban Public Space Accessibility for Vulnerable Groups from a Perspective of Temporal–Spatial Change: Evidence from Nanjing Old City, China

Social equity/inequity and equal/unequal rights to the city extend beyond the distribution of urban parks and green spaces, necessitating research on equitable accessibility to encompass a broader range of public spaces. However, previous research has predominantly focused on green spaces, neglecting other types of public spaces. To address this gap, the present study takes the public space pattern of Nanjing Old City as the research object, employing the minimum distance method, the gravity potential method, and bivariate local Moran’s I to evaluate the matching relationship between the demand of socially vulnerable groups and the supply of public spaces, as well as its temporal–spatial evolution from 2010 to 2020. The results reveal spatial heterogeneity in the accessibility of public spaces for vulnerable groups at the block level, with 28.1% of the total number of blocks and 22.1% of the total area of blocks experiencing a supply–demand imbalance in 2010. From 2010 to 2020, under the rapid urban development, construction of public spaces, and the general decline in population density and proportion of vulnerable populations, the supply–demand imbalance has exacerbated the distribution of public spaces at both individual and aggregate levels. This imbalance is reflected in the deteriorated accessibility of public spaces for vulnerable groups. This study reveals the mismatches between development, population movement, and public space construction in the old city of Nanjing over the past decade, providing decision-making suggestions and foundations for the future optimization of public spaces, thereby offering an effective tool for assessing and improving the accessibility and equitable distribution of public spaces based on the needs of vulnerable groups.

Linguistic landscape as social identity construction of the public space: an empirical study of the plain region of Darjeeling district

ABSTRACT In the past decade, Linguistic Landscape Studies (LLS) have grown into a robust discipline within sociolinguistics. There is a growing focus on multilingualism within linguistic landscape (LL) scholarship, which is gaining traction in European contexts. However, empirical research conducted in Indian contexts has been notably scarce despite India’s potential as a multilingual society. This study addresses the research gap by focusing on an Indian urban context, i.e. Siliguri. The study aims to explore the social identity construction of Siliguri through LL in light of the theoretical underpinning proposed by Landry and Bourhis (1997) and Ben-Rafael et al. (2006). A total of 446 photographic data were collected and analysed employing a mixed method analysis. The findings show five languages in the LL: English, Bengali, Hindi, Nepali, and Urdu. English is the most commonly used language, followed by Bengali, Hindi, Nepali, and Urdu. Furthermore, the finding shows the city as an emerging commercial hub in the entire North Bengal, leaning towards Western cultural influences and the process of globalisation. The predominant representation of English signs in public spaces also proves their high symbolic value in the city, making it a language with ‘linguistic capital’.

Linguistic landscaping in Kathmandu’s Thamel ‘Chinatown’: language as commodity in the construction of a cosmopolitan transnational space

ABSTRACT This study explores the linguistic landscape of a new unofficial 'Chinatown' in Kathmandu, Nepal. Located in the tourist hub Thamel, this Chinatown came into being recently because of globalisation and China's outbound tourism boom. Using authentic photographic data, this study examines how the use of Chinese and various semiotic elements (e.g. colour) contributes to the making of a commodified ethnic enclave and space of consumption, where a foreign culture is inscribed and embedded in the existing built environment. Unlike the traditional old-world Chinatowns, simplified Chinese characters are omnipresent in this Chinatown and many Chinese-run business names are highly up-to-date and reflect the latest trends in their home country. The exclusive use of monolingual Chinese is also commonplace. Interestingly, awkwardly hand-copied Chinese and Google translated Chinese are used as part of local businesses' marketing repertoire in what can be called 'linguistic jugaad'. Additionally, some local businesses resort to creative, affective and playful language to attract and engage with Chinese tourists. Contributing to research on ethnic enclaves and urban sociolinguistics, this study highlights language as commodity in transforming/constructing a cosmopolitan transnational space in our globalised and mobile world, illustrating how South-South population flows can leave material traces in a place's linguistic ecology.

Multi-Modal Modality-Masked Diffusion Network for Brain MRI Synthesis With Random Modality Missing.

Synthesis of unavailable imaging modalities from available ones can generate modality-specific complementary information and enable multi-modality based medical images diagnosis or treatment. Existing generative methods for medical image synthesis are usually based on cross-modal translation between acquired and missing modalities. These methods are usually dedicated to specific missing modality and perform synthesis in one shot, which cannot deal with varying number of missing modalities flexibly and construct the mapping across modalities effectively. To address the above issues, in this paper, we propose a unified Multi-modal Modality-masked Diffusion Network (M2DN), tackling multi-modal synthesis from the perspective of "progressive whole-modality inpainting", instead of "cross-modal translation". Specifically, our M2DN considers the missing modalities as random noise and takes all the modalities as a unity in each reverse diffusion step. The proposed joint synthesis scheme performs synthesis for the missing modalities and self-reconstruction for the available ones, which not only enables synthesis for arbitrary missing scenarios, but also facilitates the construction of common latent space and enhances the model representation ability. Besides, we introduce a modality-mask scheme to encode availability status of each incoming modality explicitly in a binary mask, which is adopted as condition for the diffusion model to further enhance the synthesis performance of our M2DN for arbitrary missing scenarios. We carry out experiments on two public brain MRI datasets for synthesis and downstream segmentation tasks. Experimental results demonstrate that our M2DN outperforms the state-of-the-art models significantly and shows great generalizability for arbitrary missing modalities.

Adaptive Space Search-based Molecular Evolution Optimization Algorithm.

In drug development process, a significant portion of budget and research time are dedicated to the lead compound optimization procedure in order to identify potential drugs. This procedure focuses on enhancing the pharmacological and bioactive properties of compounds by optimizing their local substructures. However, due to the vast and discrete chemical structure space and the unpredictable element combinations within this space, the optimization process is inherently complex. Various structure enumeration-based combinatorial optimization methods have shown certain advantages. However, they still have limitations. Those methods fail to consider the differences between molecules and struggle to explore the unknown outer search space. In this study, we propose an adaptive space search-based molecular evolution optimization algorithm (ASSMOEA). It consists of three key modules: construction of molecule-specific search space, molecular evolutionary optimization, and adaptive expansion of molecule-specific search space. Specifically, we design a fragment similarity tree in molecule-specific search space, and apply a dynamic mutation strategy in this space to guide molecular optimization. Then we utilize an encoder-encoder structure to adaptively expand the space. Those three modules are circled iteratively to optimize molecules. Our experiments demonstrate that ASSMOEA outperforms existing methods in terms of molecular optimization. It not only enhances the efficiency of the molecular optimization process, but also exhibits a robust ability to search for correct solutions. The code is freely available on the web at https://github.com/bbbbb-b/MEOAFST. Supplementary data are available at Bioinformatics online.

Protecting the Deli: Jewish Nostalgia and Social Justice in E. Lockhart's Whistle: A New Gotham City Hero

ABSTRACT: In this article, I analyze E. Lockhart's comic Whistle: A New Gotham City Hero (Burbank, CA: DC Comics, 2021) as a distinctively American Jewish text. I argue that Whistle draws upon nostalgia for an imagined Jewish past by creating an alternative present infused with the material culture of American Jewishness. In so doing, I show how the comic develops features of mainstream American Jewishness—such as eating at Jewish delis, holding a nostalgic attachment to American Jewish history, and working for social justice—in the construction of a superhero narrative. I explore how Whistle's visual depiction of Jewish food and space construct an authentically Jewish environment. Lastly, I suggest that, as a superhero comic book written for teenage readers, Whistle promotes nostalgia and the pursuit of social justice as components of American Jewishness.

Design and implementation of a collaborative modeling architecture based on MDE (Multi-DDS Edge)

Abstract Virtual space is an integral part of the Metaverse. Typical virtual spaces are modeled step by step using artificial means. With the development needs of Metaverse modeling and simulation technology and the need for simulation fidelity and content richness in virtual space construction, efficient and correct modeling methods are required. It has become a bottleneck restricting the efficiency of virtual space modeling. This paper designs a multi-person collaborative virtual space modeling method, which improves the modeling efficiency, communication security, and interaction stability of the virtual space collaborative modeling method. Compared with existing collaborative modeling methods, this paper proposes a virtual space collaborative modeling method based on multi-edge DDS technology. By constructing MDE (multi-DDS edges) and MDE on user migration, collaborative construction in multiple virtual spaces is completed. Model data communication extends collaborative modeling technology from the virtual space creation stage to the virtual space simulation and deduction stage, and designs and verifies collaborative content, collaborative architecture, and collaborative communication. Experiments show that the architecture synergy efficiency is 145.6%, the architecture synergy efficiency is 212.5%, and the architecture synergy efficiency is 105.4%. As the number of people in collaborative modeling increases, the operational complexity and demonstration take a logarithmic form, meeting the needs of the future development of the metaverse.

Research on the Management and Development Strategy of the Zibo Ceramic and Glass Museum

Purpose – In contemporary China, the promotion of the cultural and art industry is advocated. The cultural and art industry is rapidly expanding into various fields in China with increasingly strong momentum, establishing itself as a leader in Chinese art. accompanied by the quiet rise of culture and art, art museums in China have also emerged. there is a growing demand for the construction of cultural and art spaces by all sectors of society. Design/Methodology/Approach – Based on the management development strategy of the Zibo Ceramic and Glass Museum, according to the cultural and artistic characteristics and style of Zibo, this research adopts the following research methods when writing. the researcher uses the literature research method, by reading a large amount of ancient and modern Chinese and foreign literature, from which it can be glimpsed which aspects of the Zibo Ceramic and Glass Museum can absorb and learn from. Findings – Under the trend of China increasingly valuing the empowerment of the cultural and art industry, people are increasingly welcoming the cultural and art industry with an open attitude, and cultural and creative museums to appreciate and feel the sensory and spiritual enjoyment that the artistic atmosphere brings to them. Research Implications – This study focuses on analyzing the management development strategy of the Zibo Ceramic and Glass Museum. this research focuses on demonstrating the current development status of the Zibo Ceramic and Glass Museum and the setbacks encountered in the development process.

How Can Community Autonomy under the Guidance of Party Building be Possible?

Leading Party building is the basic institutional arrangement of community governance in the new era. By constructing a multi-logic analysis framework, taking G community in rural area of Anhui as an example, the paper systematically analyzes how the leadership of Party building promotes the realization of community autonomy. The findings are as follows: political parties break down the contradictions and divide governance boundaries through a series of political mechanisms, so as to achieve the purpose of social integration; At the same time, the assessment target system and personnel system in the government organization provide effective administrative means for the realization of the intention of the ruling party. Finally, through the construction of public space and the cultivation of social organizations to reshape the community governance structure, stimulate the vitality of community governance. Therefore, the essence of community autonomy led by party building is the transformation process of subject behavior from isolation to benign interaction, relationship structure from "atomization" to organic connection, and institutional logic from discrete to co-evolution.

Spatial quality measurement of commercial streets in old cities of medium-sized cities in China

ABSTRACT Chinese urban development has entered the stage of stock planning, and as an important part of urban public space, the construction of street space has a direct impact on urban development. High-quality street space contributes to sustainable urban development.High-quality street spaces are highly important for constructing vibrant and sustainable cities. Taking Jiaozuo city, a medium-sized city, as an example, this article establishes an evaluation index system for commercial street space quality from the aspects of external characterization and objective material space and uses the Pearson correlation coefficient to explore the influencing factors of urban commercial street space quality. This study finds that (1) crowd activities on commercial streets have different temporal and spatial patterns on weekdays and days off; (2) the external characterization of urban street space quality has a significant positive correlation with objective material spatial elements such as the density of public transportation stops, functional density, functional mixing, interface continuity, and spatial green visibility rate; (3) the enhancement of street accessibility and fine-tuning of functions are key to improving the spatial quality of commercial streets.This study provides theoretical basis and ideas for improving the spatial quality of commercial streets in medium-sized cities in China and promoting sustainable urban development.