Transformation Of Space Research Articles

Contextualized Quaternion Embedding Towards Polysemy in Knowledge Graph for Link Prediction

To meet the challenge of incompleteness within Knowledge Graphs, Knowledge Graph Embedding(KGE) has emerged as the fundamental methodology for predicting the missing link(Link Prediction), by mapping entities and relations as low-dimensional vectors in continuous space. However, current KGE models often struggle with the polysemy issue, where entities exhibit different semantic characteristics depending on the relations in which they participate. Such limitation stems from weak interactions between entities and their relation contexts, leading to low expressiveness in modeling complex structures and resulting in inaccurate predictions. To address this, we propose ConQuatE ( Con textualized Quat ernion E mbedding), a model that enhances the representation learning of entities across multiple semantic dimensions by leveraging quaternion rotation to capture diverse relational contexts. In specific, ConQuatE incorporates contextual cues from various connected relations to enrich the original entity representations. Notably, this is achieved through efficient vector transformations in quaternion space, without any extra information required other than original triples. Experimental results demonstrate that our model outperforms state-of-the-art models for Link Prediction on four widely-recognized datasets: FB15k-237, WN18RR, FB15k and WN18.

Non-convergence of some non-commuting double ergodic averages

Let S S and T T be measure-preserving transformations of a probability space ( X , B , μ ) (X,\mathcal {B},\mu ) . Let f f be a bounded measurable function, and consider the integrals of the corresponding ‘double’ ergodic averages: \[ 1 n ∑ i = 0 n − 1 ∫ f ( S i x ) f ( T i x ) d μ ( x ) ( n ≥ 1 ) . \frac {1}{n}\sum _{i=0}^{n-1} \int f(S^ix)f(T^ix)\,d\mu (x) \qquad (n\ge 1). \] We construct examples for which these integrals do not converge as n → ∞ n\to \infty . These include examples in which S S and T T are rigid, and hence have entropy zero, answering a question of Frantzikinakis and Host. Our proof begins with a corresponding construction for orthogonal operators on a Hilbert space, and then obtains transformations of a Gaussian measure space from them.

A non-contact calibration method of workpiece coordinate system for aero-engine blade-robotic grinding system

Mounting error of the blade is an important factor that affects the grinding quality in aero-engine blade-robotic grinding system. In order to compensate for the mounting error, it is necessary to calibrate the pose of the workpiece coordinate system. However, most of the current workpiece calibration methods cannot meet the high accuracy requirements in the scenario of aero-engine blade grinding. Therefore, this paper proposes a new non-contact calibration method of workpiece coordinate system using scanner measurement, to solve the workpiece calibration problem in aero-engine blade-robotic grinding system. The method first calibrates the scanner based on the criterion sphere hand-eye calibration method and employs the Random Sample Consensus (RANSAC) algorithm to ensure the accuracy of the fitted sphere center coordinates. Then, the point cloud registration algorithms are used to align the scanned point cloud of the blade with the model point cloud. Finally, the space transformation matrix between the workpiece coordinate system and the base coordinate system is obtained through matrix calculation, achieving the accurate calibration of the workpiece coordinate system. The experimental validation of the proposed calibration method in this paper can maintain tiny and acceptable errors for grinding applications. Specifically, the hand-eye calibration error is less than 0.2 mm, and the point cloud registration error is less than 0.06 mm. Moreover, the calibrated blade exhibits excellent machining consistency after grinding, which can perfectly meet the requirements of actual machining accuracy.

Theatre of the Innova(c)tors: an interactive theatre tool to create transformative spaces

Abstract Complex sustainability challenges call for transformative spaces where participants are encouraged to move away from conventional thinking. Arts-based and embodied practices can enable new encounters with the world and new forms of meaning-making. We introduce the Theatre of the Innova(c)tors, an interactive theatre tool that encourages reflexivity and learning by creating transformative spaces. Inspired by the techniques of Theatre of the Oppressed, specifically Image Theatre, this tool engages diverse audiences and empowers participants. The Theatre of the Innova(c)tors can serve as a pedagogical innovation and intervention tool to explore different dimensions of care and can be applied in different communities, where it needs to be contextualised and customised to their specific needs.

Imagining alternative futures for the Dutch poultry industry

In their quest for sustainable transformation, agricultural industries need to move beyond product and service innovation as well as rivalry between actors toward reconfiguring production and consumption systems. In mature industries like agriculture, envisioning alternatives that require systemic innovation is challenging due to the dominance of existing systems. This study constructs future images, as design tools, to expand the opportunity space for sustainable transformation. Focusing on the Dutch poultry industry, we conducted futures interviews to identify and structure drivers of change and use these to construct future images by identifying values-based themes. We constructed and visualized six coherent future images depicting alternative contexts for this industry: ‘zero-emission policy agenda,’ ‘farmers as entrepreneurial innovators,’ ‘collaborative ecosystem,’ ‘retail as an orchestrator,’ ‘happy animals, healthy humans,’ and ‘living labs in the knowledge economy.’ We discuss how these futures expand the opportunity space for novel production and consumption systems, drawing on distinct sustainability conceptualizations and different actors.

Facilitating Intersectional Identity Development Among Latina Adolescents Through Critical Inquiry Groups

Using a qualitative case study approach, this study explored how critical inquiry groups, small youth facilitated forums, facilitated the ethnic-racial identity development of Latina adolescents. We highlight how critical inquiry groups helped to position Latina youth as active agents and knowledge keepers of their lived and learned experiences as they make meaning of their ethnic/racial memberships. This study utilized data from an educational intervention called ¡Orgullosas y Poderosas!, a 14 session youth participatory action research program designed to nurture the identity development and strengthen the civic/political capacity of Latina adolescents. A total of nine Latina California high school youth ( Mage = 16.5) participated. Using thematic analysis, we identified (a) how critical inquiry groups served as a vehicle for Latina youth to explore their cultural practices, histories of resistance, and tensions within the broader Latinx community; and (b) how critical inquiry groups encouraged Latina youth to develop identities that express cultural pride, an awareness for the social injustices their group have faced, and a desire to enact social change for their ethnic/racial community. By focusing on Latina youth, this research aims to inspire the (re)imagination of how to design transformative learning and community spaces that operate from a frame of intersectional justice.

Sustainability Benefit Evaluation and Optimization of Rural Public Spaces Under Self-Organization Theory

Agriculture-oriented rural areas represent one of the forms of specialized agricultural practices and economic development. Public spaces serve as critical carriers within the rural spatial system. Rural public spaces are divided into two forms: explicit spaces and implicit spaces. The interaction between these forms significantly influences the morphological evolution of rural public spaces. This study takes the ancient village cluster in Anyi, Nanchang City, China as a case study. By collecting POI (Point of Interest) data and conducting surveys on visitors’ landscape preferences, it employs a life circle spatial division method and the VEISD (Village Evaluation Indicators for Sustainable Development) entropy model to evaluate the sustainability benefits of rural public spaces. Based on the evaluation results, the study proposes a control and guidance method for public spaces under self-organization theory. This method leverages the interference effects of explicit rural public spaces on implicit spaces to optimize rural public spaces. The study focuses on the planning and renovation of public space nodes in Luotian Village. By adjusting the sub-indicator “Village Public Environment Construction D22”, it validates the scientific robustness of the systems analysis theory and the VEISD framework. By adjusting the spatial layout and attributes of a critical spatial node—the Ancient Camphor Tree Square in Luotian Village—within rural public space planning, the study advances the guidance and control of public spaces during the self-organization evolution of rural areas. It enhances the openness of spatial forms and the functional integration of public space nodes. The results demonstrate that this method can analyze the vitality characteristics of factors within subsystems through the layout and indicator system of rural public spaces. It also validates the findings via correlation tests with the demands for POI and landscape preferences, ultimately constructing the VEISD framework for rural public spaces. This research provides theoretical support for optimizing the resource transformation and utilization of rural public spaces, offering a reference model for the sustainable development of rural areas.

Bidirectional Semantic Communication Between Humans and Machines Based on Data, Information, Knowledge, Wisdom, and Purpose Artificial Consciousness

Large language models (LLMs) and other artificial intelligence systems are trained using extensive DIKWP resources (data, information, knowledge, wisdom, purpose). These introduce uncertainties when applied to individual users in a collective semantic space. Traditional methods often lead to introducing new concepts rather than a proper understanding based on the semantic space. When dealing with complex problems or insufficient context, the limitations in conceptual cognition become even more evident. To address this, we take pediatric consultation as a scenario, using case simulations to specifically discuss unidirectional communication impairments between doctors and infant patients and the bidirectional communication biases between doctors and infant parents. We propose a human–machine interaction model based on DIKWP artificial consciousness. For the unidirectional communication impairment, we use the example of an infant’s perspective in recognizing and distinguishing objects, simulating the cognitive process of the brain from non-existence to existence, transitioning from cognitive space to semantic space, and generating corresponding semantics for DIKWP, abstracting concepts, and labels. For the bidirectional communication bias, we use the interaction between infant parents and doctors as an example, mapping the interaction process to the DIKWP transformation space and addressing the DIKWP 3-No problem (incompleteness, inconsistency, and imprecision) for both parties. We employ a purpose-driven DIKWP transformation model to solve part of the 3-No problem. Finally, we comprehensively validate the proposed method (DIKWP-AC). We first analyze, evaluate, and compare the DIKWP transformation calculations and processing capabilities, and then compare it with seven mainstream large models. The results show that DIKWP-AC performs well. Constructing a novel cognitive model reduces the information gap in human–machine interactions, promotes mutual understanding and communication, and provides a new pathway for achieving more efficient and accurate artificial consciousness interactions.

Topology Unveiled: A New Horizon for Economic and Financial Modeling

Sinceits introduction in the 19th century to address geometric problems, topology as a methodology has undergone a series of evolutions, encompassing branches of geometric topology, point-set topology (analytic topology), algebraic topology, and differential topology, gradually permeating into various interdisciplinary applied fields. Starting from disciplines with typical geometric characteristics such as geography, physics, biology, and computer science, topology has found its way to economic fields in the 20th century. Given that the introduction of topology to economics is relatively new and presents features of being fragmented and non-systematic, this review aimed to provide scholars with a systematic evolution map to refine the characteristics of topology as a methodology applied in economics and finance, thereby aiding future potential interdisciplinary developments in these fields. By collecting abundant literature indexed in SCOPUS/WoS and other famous databases, with a qualitative analysis to classify and summarize it, we found that topological methods were introduced to modern economics when dealing with dynamic optimization, functional analysis, and convex programming problems, including famous applications such as uncovering equilibrium with fixed-point theorems in Walrasian economics. Topology can help uncover and refine the topological properties of these function space transformations, thus finding unchangeable features. Meanwhile, in contemporary economics, topology is being used for high-dimension reduction, complex network construction, and structural data mining, combined with techniques of machine learning, and applied to high-dimensional time series and structure analysis in financial markets. The most famous practical applications include the use of topological data analysis (TDA) and topological machine learning (TML) for different applied problems.

Internal reserves of cities: a new approach to assessing the transformation of urban space under the influence of brownfields

Internal reserves of cities: a new approach to assessing the transformation of urban space under the influence of brownfields

Optimizing Public Spaces for Age-Friendly Living: Renovation Strategies for 1980s Residential Communities in Hangzhou, China

Population aging and urbanization are two of the most significant social transformations of the 21st century. Against the backdrop of rapid aging in China, developing age-friendly community environments, particularly through the renovation of legacy residential communities, not only supports active and healthy aging but also promotes equity and sustainable development. This study focuses on residential communities built in the 1980s in Hangzhou, exploring strategies for the age-friendly renovation of outdoor public spaces. The residential communities that flourished during the construction boom of the 1980s are now confronting a dual challenge: aging populations and deteriorating facilities. However, existing renovation efforts often pay insufficient attention to the comprehensive age-friendly transformation of outdoor public spaces within these neighborhoods. Following a structured research framework encompassing investigation, evaluation, design, and discussion, this study first analyzes linear grid layouts and usage patterns of these communities. Then, the research team uses post-occupancy evaluation (POE) to assess the age-friendliness of outdoor public spaces. Semi-structured interviews with elderly residents identify key concerns and establish a preliminary evaluation framework, while a Likert-scale questionnaire quantifies the satisfaction with age-friendly features across four communities. The assessment reveals that key age-friendliness issues, including poor traffic safety, dispersed activity spaces, and insufficiently adapted facilities, are closely linked to the linear usage patterns within the spatial framework of the grid layouts. Based on the findings, the study develops tiered renovation goals, renovation principles and implemented an age-friendly design in the Hemu Community. The strengths, weaknesses, and feasibility of the renovation plan are discussed, while three recommendations are made to ensure successful implementation. The study is intended to provide a valuable reference for advancing age-friendly residential renewal efforts in Hangzhou and contributing to the broader objective of sustainable, inclusive city development.

The Subject Identity in The Growing Space of a Tourism Village: A Case study of Sidomulyo Village Flower Market

The transformation of rural spaces into tourism destinations often reshapes the identity of local communities and their interaction with physical and social landscapes. This study examines the evolving subject identity within the growing spatial context of Sidomulyo Village, known for its flourishing flower market. Employing a qualitative case study approach, this research explores how tourism development has influenced the socio-cultural, economic, and spatial dimensions of the village. Data were gathered through in-depth interviews, field observations, and document analysis to identify key factors shaping identity construction. Findings reveal that the village's transition to a tourism hub fosters both opportunities and challenges, with local identity being negotiated between traditional agricultural roots and emerging market demands. The study contributes to broader discourses on rural tourism development, spatial dynamics, and community identity, offering insights into sustainable practices for balancing growth with cultural preservation.

Transformative frame in system of innovation (SI) studies: lessons from India’s public engagement with science, technology and innovation (STI) for socio-technical transition

ABSTRACT There is a highly problematical discourse originating on the transformative frame from the Global North for the way forward within the SI studies in the wake of climate change and the need to accelerate the socio-technical transition. The suggestion is to use the structures and processes of supranational coordination of STI activity and to allow the transnational actors to directly access the local researchers and the domestic markets of the Global South without the intermediation of the national systems of innovation (NSI). In this article, the author argues to the contrary and takes a view that the scientific community could develop the transformative STI spaces in India through selective delinking from the Global North and cultivation of diversity and plurality. Attention of the SI community is drawn to the recentmost failure of the Indian political-bureaucratic apparatus, big business and STI policymakers to catalyse a deeper transition even after making a wholesale shift to the path of global integration. The high costs of abandoning the systematic building of NSI and the very few benefits of allowing the transnational actors to enter without putting obligations and restrictions are claimed to be providing evidence to the contrary through a critical analysis of the Indian experience.

QSHO: Quantum spotted hyena optimizer for global optimization

Spotted Hyena Optimizer (SHO) is a population-based metaheuristic algorithm inspired by the spotted hyenas’ social behavior, and it has been developed to solve global optimization problems. SHO has shown superior performance over its competitive metaheuristic algorithms in solving benchmark function optimization and engineering design problems. However, it suffers from getting stuck in local optima due to its lack of exploration while solving multi-modal optimization problems. This article proposes an improved SHO, quantum SHO (QSHO), inspired by quantum computing. The QSHO implements a quantum computing mechanism to promote its exploration ability. The novel method is tested on well-known IEEE CEC2013 and IEEE CEC2017 benchmark suits with 30 and 50 dimensions and four real-world engineering optimization problems. The results of QSHO are compared with that of Classical SHO, improved SHO (ISHO), Modified SHO (MSHO), Oppositional SHO with mutation operator (OBL-MO-SHO), SHO with space transformation search (STS-SHO), Quantum Salp Swarm Algorithm (QSSA), and Chimp Optimization Algorithm (ChOA). The results are analyzed using the Wilcoxon Signed Rank Test (WSRT) and Friedman Test. The empirical results show that QSHO statistically outperforms other compared algorithms for benchmark problem suits with 30 and 50 dimensions. According to Friedman Test statistics, the QSHO algorithm ranked first and second in solving CEC2013 30D and 50D, respectively, whereas it ranked first in both solving CEC2017 30D and 50D. In addition, we have assessed the QSHO in four real-world engineering optimization problems, and the QSHO statistically outperforms the competitive algorithms.

Quale rapporto tra capitali e territori? Prospettive teoriche e di ricerca sulla finanziarizzazione dello sviluppo urbano

In this essay, we propose a sociological and territorial perspective on the relationship be-tween capital and space and, more specifically, on the financialisation of urban development. Having sketched an analytical and conceptual framework, we invite the reader to put the prop-erty market at the centre of their analysis of the transformation of urban space. Finally, we briefly discuss the state of the art in Italy, suggesting new avenues for future research.

How can language models assist with pharmaceuticals manufacturing deviations and investigations?

Large Language Models (LLM) such as the Generative-Pretrained-Transformer (GPT) and Large-Language-Model-Meta-AI (LLaMA) have attracted much attention. There is strong evidence that these models perform remarkably well in various natural language processing tasks. However, how to leverage them in domain-specific use cases and drive value remains an open question. Focusing on the digital transformation in the pharmaceutical manufacturing space, we propose that leveraging historical records of manufacturing deviations, as a mostly unstructured data source, in an organization can be beneficial for productivity, efficiency, quality, and compliance, specifically for addressing and closing new cases, or de-risking new manufacturing campaigns by identifying common themes and occurrences. Herein, by constructing an industrially relevant dataset, the ability of generative LLMs (e.g., GPT and Claude) and text embedding models in performing tasks related to pharmaceutical manufacturing deviations are studied. Generative models are evaluated for automating knowledge extraction from deviation reports in a mature organization, while embedding models are evaluated for identification of similar incidents from a large body of historical records using similarity analysis in vector space. Results show highly accurate outcomes for entity extraction tasks, especially with larger models, strong reasoning capabilities, as well as an interplay between the apparent reasoning and hallucination behavior of LLMs. Results also show the ability of embedding models for capturing semantics in certain deviation categories. Overall, these findings suggest significant potential for enhancing workflows in the pharmaceutical manufacturing through AI-driven tools, while also highlighting important questions that necessitate further research.

Calculation of the same Lorentz factor using the opposite approach

This article extends the law of electromagnetic oscillation to form a theoretical system of spatial particles. According to this theory, the speed of light is variable and motion is absolute. The Lorentz factor can be calculated using an absolute inertial coordinate system that converts the absolute inertial coordinate system in space B to the movement coordinate system in space A. The generalized Lorentz transformation is a transformation of different spaces; its core is the ratio of the speed of light, and a new method is used to derive the mass‒energy equivalence and rewrite Newton’s law of universal gravitation.

Book Review: Laboratories of Learning: Social Movements, Education, and Knowledge-Making in the Global South by Mario Novelli, Birgül Kutan, Patrick Kane, Adnan Çelik, Tejendra Pherali, and Saranel Benjamin

In his review of Laboratories of Learning: Social Movements, Education, and Knowledge-Making in the Global South by Mario Novelli, Birgül Kutan, Patrick Kane, Adnan Celik, Tejendra Pherali, and Saranel Benjamin, João Souto-Maior highlights the authors' in-depth qualitative analysis of how social movements create spaces for learning, knowledge creation, and social transformation. Souto-Maior points out the unique contribution this book makes to the education in emergencies field through its discussion of the microlevel processes that shape social movements. Based on the authors' participatory action research, this book is a meaningful methodological addition to the education in emergencies field for scholars and practitioners who are interested in forging meaningful relationships with individuals and organizations directly engaged in social change.

SPATIO-TEMPORAL ANALYSIS OF LAND USE TYPES FROM 1993 TO 2023 IN THE SOUDANO-SAHELIAN ZONE OF CAMEROON

This work raises the problem of the evolution of deforestation in the Sudano-Sahelian zone of Cameroon. This land cover study was mainly based on diachronic analyzes of satellite images (Landsat). Diachronic analysis, used for a long time to understand the transformations of space, is an approach which carries out a comparative study, by superposition, or even juxtaposition of the different documents processed. Diachronic analysis in this study is developed over a three-decade period. Understanding vegetation dynamics in this study region requires careful analysis of how vegetation has evolved over the past three decades. It evolves according to management methods imposed by humans and climate variability. Satellite imaging (also called space imaging) refers to the taking of images from space, by sensors placed on satellites. The physiognomy of vegetation refers to the overall appearance of the vegetation, structure, and more particularly aerial system. This allows an overview on a very large scale, which depends on the species in an environment.In addition, topographic maps were acquired and digitized, as well as photographs. This study was undertaken with the aim of showing from satellite images the transformations undergone by plant formations in four Divisions of the Far North region of Cameroon and make a forecast of the vegetation of the study sites in thirty (30) years.From the analogical interpretation and mapping of land data, seven major land cover classes have been identified. These are: Steppe, Grassy Savannah/Fields, Shrubby Savannah, Wooded Savannah, Forest Gallery/Clear Forest, Surface Water and Buildings/Bare Soil and Sand Strip. The evolution of deforestation does not affect all vegetation, but there is an increase in other types of plant formations to the detriment of others. In addition, the vegetation of the study area is undergoing a regressive evolution due to the phenomenon of deforestation. Satellite images clearly show a number of negative changes in plant physiognomy. The 1993 image shows homogeneity of spots. Thirty (30) years later (2023), it indicates heterogeneous spots. Overall, the simulation of percentage changes in deforestation is very accentuated in the study area. The results of this study show that vegetation is in full decline in the Sudano-Sahelian zone of Cameroon. This regression is due to deforestation and the deforestation is a function of ethnicities, cultures and traditions.Deforestation, which is mainly caused by human activities, has the major consequences of flooding and loss of biodiversity. These results could serve as a reference for the search for strategies for the exploitation of natural resources and sustainable conservation of plant diversity in the Sudano-Sahelian zone of Cameroon.

The Potential of Distance Learning within the Course “History of Linguistic Studies”

The transformation of the educational space at the beginning of the 21st century involves the further improvement of academic disciplines and students' competencies. The distance learning system (DLS) Moodle provides new opportunities for this. The purpose of the article is the formation of scenarios for using the potential of the DLS Moodle using the example of the distance learning course "History of Linguistic Studies". The realization of the potential of DLS is related to the structuring of educational information, the analysis of tasks and the content of a specific discipline. The purpose of the special course "History of Linguistic Studies" is to acquaint philologists with the evolution of linguistic science. The specificity of the distance course provides for the placement of educational and informational content in several blocks (parts). The main attention is paid to the substantive part, the basic elements of which are "Lecture", "Seminar session", "Main Forum" and "Additional Forum". Lecture information is accompanied by additional sources: presentations, videos, scientific publications, etc. Independent work and ongoing control are organized within seminar classes and forums. Seminar classes take place in classroom and/or correspondence formats. A specific component of DLS are forums, participation in which involves creating an essay on a certain aspect of the topic. In the main forums, several "basic" aspects are brought up for discussion; additional ones relate to issues qualified as optional. The formation of student autonomy involves participation in improving the course under the guidance of a teacher-moderator. This activity includes: creation of presentations, reasoned analysis of presentations of fellow students, discussion of the analysis of presentations and making appropriate corrections. In this way, indirect work takes place with the maximum possible range of topics. The course has potential for improvement in the direction of organizing seminars and forums, as well as monitoring the content used by students. The acquired experience can be used in the creation and improvement of distance courses in other disciplines of the linguistic cycle of higher philological education.