History Characteristics Research Articles

Assessing the dynamic social values of the ‘deep city’: An integrated methodology combining online and offline approaches

This monograph presents findings from original research on urban heritage transformations and advances existing scholarship on three grounds: (1) it offers tested combinations of methods to capture the social values of heritage; (2) it distils the complex, diverse social values generated by urban heritage and revealed by the use of these methods; and (3) it discusses the implications and potential applications of these methods for urban planning. Cities are multi-layered deposits of tangible historic features and intangible meanings, memories, practices and associated values. These dense socio-material assemblages have been conceptualised as the ‘deep city’, a concept that recognises dynamic relationships between past, present and future, whilst simultaneously repositioning heritage at the heart of sustainable transformation. However, methods for understanding people’s relationships with urban heritage are mostly applied piecemeal in urban planning and heritage management. Here, we introduce research involving a suite of social and digital research methods, which can be deployed rapidly in online and offline spaces to examine the social values generated by urban heritage. Three in-depth case studies, in Edinburgh, London, and Florence, reveal how these values are involved in urban place-making. Failure to take them into account in development and regeneration projects can result in fragmentation and/or marginalisation of communities and their place attachments. The research has important implications for urban planning, offering methods and tools for working with communities to create more socially sustainable urban futures.

Adaptive restoration of Kali Mas Surabaya: strategy to recall and sustain historical area

Appropriate and targeted strategies are needed to preserve places and buildings of historical value. Historical objects are objects that are susceptible to damage and may be unmatched elsewhere. So, damage to or loss of an heirloom is very fatal. Implementing conservation strategies in an area is necessary because a place or site has complex and varied constituent elements. In this case, an area that is neglected but still has historical features requires a special strategy and perhaps several strategies. This is also because the existing strategy does not yet provide criteria and considerations regarding this matter. Kali Mas Surabaya is a historical case study that was the initial downtown port in Surabaya before it was finally decommissioned and is now rarely maintained. By carrying out a comprehensive analysis of history, documentary evidence, and actual physical evidence, it will become the basis for policy analysis and implementation. Therefore, this research will focus on how to carry out conservation strategies for recalling and sustaining abandoned historical areas so that these strategies can be generalized and applied to other historical locations.

Memory Shapelet Learning for Early Classification of Streaming Time Series.

Early classification predicts the class of the incoming sequences before it is completely observed. How to quickly classify streaming time series without losing interpretability through early classification method is a challenging problem. A novel memory shapelet learning framework for early classification is proposed in this article. First, a memory distance matrix is introduced to store the historical characteristics of streaming time series, which can alleviate repetitive calculations caused by the growing length of time series. Second, early interpretable shapelets are extracted in the proposed method by optimizing both accuracy objective and earliness objective simultaneously. The proposed method employs end-to-end learning, which allows the model to directly learn early shapelets without the necessity of searching for numerous candidate shapelets. Third, an objective function of memory shapelet learning is proposed by overall considering accuracy and earliness, which can be optimized by gradient descent algorithm. Finally, experiments are conducted on benchmark dataset UCR, Tennessee Eastman process, and real-world aluminum electrolysis process in China. Comparable results with other state-of-the-art methods demonstrate the superior performance of the proposed method in interpretability, accuracy, earliness, and time complexity.

Clinical, Anamnestic, and Demographic Characteristics of Patients with Myocardial Infarction in Russian Federation According to the Russian Registry of Acute Myocardial Infarction - REGION-IM.

Based on data from the Russian REGION-MI registry, to characterize patients with myocardial infarction (MI) hospitalized in Russian hospitals, describe their historical, demographic, and clinical characteristics, and compare the results with the data of previous Russian and international registries of acute coronary syndrome. REGION-MI is a multicenter prospective observational study. The follow-up period was divided into three stages: during the hospital stay, at 6 and 12 months after the inclusion in the registry. Demographic and historic data and information about the present case of MI were entered into the patient's individual record card. The median age of all patients was 63 years; 68% of patients were men. The mean age of women was older than that of men. Among all MI cases, 70% were ST-segment elevation myocardial infarction (STEMI). Patients with non-ST-segment elevation myocardial infarction (NSTEMI) were older and had more comorbidities than patients with STEMI. The median time from the first symptoms to ECG recording was two hours, and from the first symptoms to CAG 7 hours. CAG was performed in 91% of patients with STEMI and 84% of patients with NSTEMI. Stenting was performed in 69% of patients. Although many patients had a complicated cardiovascular history, at the time of admission only 31.5% of patients were taking at least one drug from the groups of antiplatelets, oral anticoagulants, statins, and beta-blockers. Patients with MI in the Russian Federation are younger than patients with MI in European countries. Among the clinical and historical characteristics, conspicuous is the presence of modifiable risk factors in many patients, as well as the presence of a previous diagnosis of ischemic heart disease. Furthermore, a small proportion of patients took statins, antiplatelet agents or anticoagulants at the outpatient stage, which indicates a great reserve of both primary and secondary prevention of cardiovascular diseases in the Russian Federation. The delayed seeking medical help is also noticeable, which indicates the need for increasing the public awareness of the symptoms of MI and the importance of timely hospitalization.

Allegorical Representations of Tudor Princes

The problem of studying various types of allegorical discourses is topical. The current research devoted to allegories as a special device in the literary and pictorial art of sixteenth-century England is concerned with three different types of figurative mode of representation, their cognitive content, and their pragmatic effect. The poets, playwrights, and artists developed iconic representations of the Tudor monarchs by means of three forms of allegories: comparisons, impersonations, and personifications whose public aim was the consolidation of the dynastic power and hermeneutic interpretation of abstract concepts which made up the core of Tudor cosmology. The study provides an integrated approach to the allegorical paradigm as the totality of all means (textual and visual) expressing the same conceptual theme. The analysis has a strictly historical character and is put in the context of contemporary events and prevailing philosophical views. The corpus of literary material is discussed in rhetorical and ideological terms, Keywords: allegorical comparisons, impersonations, personifications, Moon culture.

자료와 연구는 어떻게 문학관의 컨텐츠가 되는가?

This article was written for two purposes in the discourse and theoretical un derstanding of the historical characteristics of Korean society, which has been appropriated and interpreted by a young poet named Yoon Dong-ju according to the times. First, it intends to record the construction process and planning inten tions of Yonsei University’s Yoon Dong-ju Memorial Hall, which opened in 2020, and then function as a reference material for field workers, related researchers, and visitors of the Literature Memorial Hall. Second, through the case of creating exhibition contents at the Yoon Dong-ju Memorial Hall, I want to examine how the Literature Memorial Hall implements the concept of ‘larchiveum’ by linking ‘data-research-exhibition’. In order to strengthen the ‘authenticity’ of the place as a space that has been used for different purposes for a long time is reborn as a memo rial hall, it was necessary to balance the spirit of ‘poetry’, the materiality of ‘data’, the social identity of the ‘poet’, and the historicality of ‘space’. And to emphasize the role of an integrated space called larchiveum, the concept of ‘cultural medi ation space' was added. The Literature Memorial Hall mediates ‘writer-bereaved (donor)-researcher-reader/public (viewer)’ and mediates literary texts composed of letters through other sensory representations and experiences. In that texts are submitted in a specific social arrangement, the Literature Memorial Hall is both a media in itself and a space of possibility to enable new practice. In other words, through case analysis of the exhibition planning intentions, processes, and results of the Yoon Dong-ju Memorial Hall, we tried to examine how the Literature Me morial Hall connects “material-research-exhibition-event” as a “cultural medium space” with “larchiveum”.

Warsaw small and medium-sized public urban green spaces as a response to short-time leisure needs of local residents and passers-by

ABSTRACT The study investigates visitors’ activity patterns in small and medium-sized public urban green spaces (SAMPUGS) and the relationship between the green space features and their use through the field observation of 36 case areas in Warsaw districts – Śródmieście and Ursynów. They were analysed using the perceived sensory dimensions (PSDs) and the Environmental Assessment of Public Recreation Spaces (EAPRS) tool. The green spaces in Ursynów are greener and richer in species than those in Śródmieście, but they lack historical features. The most popular activities are: sitting on a bench, strolling, dog walking, chatting and eating/drinking. Sitting on a bench is encouraged by the presence of historical feature and view outside green space but not by the ‘green ground cover’ or high green coverage ratio. Strolling is promoted in the green spaces of the bigger size and with the developed path network, but also with presence of flowerbeds and those rich in species. Chatting is promoted by the presence of historical features but not by the presence of ‘green ground cover’ and richness in species. Eating/drinking is encouraged by the presence of many places to sit, higher PSD ‘culture’ score, especially in Śródmieście and higher PSD ‘space’ score, especially in Ursynów.

Air Quality Prediction usingKNN and LSTM

The project titled "Air Quality Prediction Using KNN and LSTM" endeavors toaddress the critical issue of air pollutionthrough the application of advanced computational techniques. The project aimsto develop a robust predictive model that can forecast air quality levels based on historical data, meteorological parameters, and relevant environmental features. Leveraging machine learning algorithms such as regression, decision trees, or neural networks, the project seeks to analyze complex relationships within the data and enhance the accuracy of air qualitypredictions. The methodology involves the collection and preprocessing of extensive datasets encompassing pollutant concentrations, weather conditions, and geographicalinformation. The selected machine learning algorithms will be trained on this data to recognize patterns and correlations, enabling the model to make accurate predictions. The project also explores the integration of real- time data streams, satellite imagery, and sensor networks to improve the responsiveness of the predictive model.

Making a narrative tourism map: the case of Jiaxing’s ‘Red Boat Spirit Map’, China

ABSTRACT Today, the marriage between cartographic language and narrative strategies has reshaped maps with the generative capability to represent the intangible historical characters and events involved in social memories following a narrative manner. Despite these advances, rather few efforts have been spared to unveil the potential of tourism maps in a narrative form. This paper seeks to rectify the gaps in this line of research by unfolding the underlying theories and cartographic design guidelines for making narrative tourism maps. In particular, a narrative cartographic design approach is demonstrated and evidenced to be practical using the case of ‘Red Boat Spirit Map’, a tourism map designed for Jiaxing City, one of the most well-known destinations of China’s red tourism. It is believed that the theoretical instrument and cartographic design guidelines presented in our paper are particularly relevant and can be easily adapted to more general research of narrative maps.

Multi-Scenario Simulation of Land System Change in the Guangdong–Hong Kong–Macao Greater Bay Area Based on a Cellular Automata–Markov Model

As one of the four major bay areas in the world, the Guangdong–Hong Kong–Macao Greater Bay Area (GBA) is a highly integrated mega urban agglomeration and its unparalleled urbanization has induced prominent land contradictions between humans and nature, which hinders its sustainability and has become the primary concern in this region. In this paper, we probed the historical characteristics of land use and land cover change (LUCC) in the GBA from 2005 to 2015, and forecasted its future land use pattern for 2030, 2050, and 2070, using a cellular automata–Markov (CA–Markov) model, under three typical tailored scenarios, i.e., urban development (UD), cropland protection (CP), and ecology security (ES), for land use optimization. The major findings are as follows: (1) The encroachments of build-up land on the other land uses under rapid urbanization accounted for the leading forces of LUCCs in the past decade. Accordingly, the urban sprawl was up to 1441.73 km2 (23.47%), with cropland, forest land, and water areas reduced by 570.77 km2 (4.38%), 526.05 km2 (1.76%), and 429.89 km2 (10.88%), respectively. (2) Based on the validated CA–Markov model, significant differences are found in future land use patterns under multiple scenarios, with the discrepancy magnified over time and driven by different orientations. (3) Through comprehensive comparisons and tradeoffs, the ES scenario mode seems optimal for the GBA in the next decades, which optimizes the balance between socio-economic development and ecological protection. These results serve as an early warning for future land problems and can be applied to land use management and policy formulation to promote the sustainable development of the GBA.

Residential urban heritage space identification, delimitation, and potential assessment model based on space syntax

In the era of post-modernization, profound transformations in urban spaces have led to significant shifts in the spatial composition paradigms of contemporary urban heritage. Research on this process is crucial for elucidating the spatial pathways and compositional changes in the modernization transformation of urban heritage. This study aims to establish identification indicators and assessment systems for the spatial structure of urban residential environments exhibiting historical characteristics and heritage potential through a comparative analysis of residential urban heritage spatial paradigms in historic cities in China and Japan. First, grounded in space syntax theory, this study selected residential urban heritage in Suzhou’s Pingjiang Historic District and Uji’s Nakauji District as research cases. Utilizing road network data, this study analyzed the Life Integration (Int.VR1000) and Global Integration (Int.VR5000) of urban heritage spaces, thereby constructing a spatial topology system for heritage spaces. Second, the study employed urban spatial entropy indicators, such as architectural density entropy, spatial morphology entropy, and function mixing entropy, to quantitatively describe the spatial structure, consequently establishing a heritage space morphological structure indicator system. Finally, spatial clustering methods are used to integrate the spatial topology system with the morphological structure indicator system, resulting in a feature model for residential urban heritage spaces. The research results indicate that the transformation path of residential space paradigms is mainly influenced by spatial topology, affecting the structure of residential heritage spaces in three aspects: functional layout, building density, and spatial form. This phenomenon, in turn, impacts population distribution and the migration of living spaces. However, at the same time, the “resistance effect” of street and lane spaces and the limitations of architectural forms on spatial functions have protected the integrity and authenticity of the internal space.

Visual Documentation on Fort Metal Cross in the Western Region of Ghana: The Role of the Graphic Artists in Heritage Preservation

This study focuses on the visual documentation of Fort Metal Cross, a historical site located in the Western Region of Ghana. The aim of this study was to provide a far-reaching visual record of the fort, highlighting its historical significance, cultural value and architectural features. The qualitative case study research with visual documentation was conducted through a combination of Canon DSLR Camera with 50mm, 17mm - 35mm lens, DJI Mavic Pro 2 Drone, and smartphone techniques. The research team captured high-resolution images of the fort's exterior and interior, paying close attention to its unique architectural elements, such as the bastions, cannons, and defensive walls. Additionally, diagrams were taken to showcase the fort's surroundings and provide a virtual tour experience for viewers. In addition to the visual documentation, the research delved into the historical background of Fort Metal Cross with extensive archival research to gather information on its construction, purpose, and role in the transatlantic slave trade. This historical context provided a deeper understanding of the fort's significance within the broader historical narrative of Ghana and the African continent. The finding of this research contributed to the preservation and promotion of Fort Metal Cross as a significant cultural heritage site in Ghana, fostering a greater appreciation for its historical and architectural value to showcase its colonial past and educate future generations about the struggles and triumphs of their ancestors.

Historical and conceptual features of acute polymorphic psychosis: a myth of European psychiatry from bouffée délirante to ICD-11 acute and transient psychotic disorder.

This paper deals with the history and epistemology of acute polymorphic psychosis. We undertook a comparative study of short-lived psychotic disorders used in different European countries since the late nineteenth century. The theory of degeneration offered a speculative basis to conceptualization of conditions such as bouffée délirante, cycloid psychosis and reactive psychosis, but it seems likely that different factors contributed to the profusion of clinical concepts with adverse effects on both nomenclature and classification. The resulting picture suggests that earlier nosological concepts tend to converge on common descriptive features and challenge the diagnostic categories for short-lived psychotic disorders listed in modern symptom-based psychiatric classifications.

Least squares parameter estimation for uncertain fractional differential equations and application to stock model

In recent years, uncertain fractional differential equations was proposed for the description of complex uncertain dynamic systems with historical characteristics. For wider applications of uncertain fractional differential equations, researches on parameter estimation for uncertain fractional differential equations are of great importance. In this paper, based on the thought of least squares estimation and uncertain hypothesis test, an algorithm of parameter estimation for uncertain fractional differential equations is discussed. Finally, we consider the application of uncertain fractional differential equations based model to predict the forecasting stock price of three major indexes of U.S. stocks and make a comparison between uncertain fractional differential equations, uncertain differential equations and stochastic differential equations.

Landscape significance and value of Ankara's first public green space: Millet Garden

Objective: Some of the parliament buildings have public open and green spaces nearby. For instance, United States’ Capitol Building has Capitol Grounds, Germany’s Reichstag Building has Platz der Republik Park and Spreebogen Park, The Palace of Westminster of United Kingdom has Victoria Tower Gardens. These spaces originated as green public spaces associated with state. The parliament buildings are often landmarks. Their green spaces enhance the spatial quality. Green spaces make parliament buildings more attractive places to visit and work. There is no landscape architecture research on Türkiye’s first parliament building’s green space so called Millet Garden. The objective of this study is to identify historic features and evaluate components. Material and Methods: The research is structured in qualitative research method and consists of four parts. The first part includes theoretical framework. The explanation of research design and the implementation of data collection method is the second part. The third part contains description of the site. The fourth part constitutes analyses the components of historic landscape in details. Results: This study reveals the importance of the Millet Garden by evaluating it in terms of landscape architecture. Conclusion: This study touches upon the importance and benefits of historic landscapes. Finally, the study revealed some directions for further studies.

Traumatic fractures in an early 19th century museum skeleton suggest the homicide of an old Munich character: the history of "Finessensepperl" (Finesse Joseph).

The well preserved skeleton of Joseph Huber, a very well-known historical character of the 19th century Munich, also nicknamed "Finessen-Sepperl", is the starting point of the reconstruction of life and death of this historical individual. He was known as a postilion d´amour (love's messenger) of the Royal Bavarian capital with numerous comments and anecdotes and a few biographical sketches that indicate he remained well until the last few years of his life where requests for his duties lessened. The skeleton shows a small-sized male individual with almost complete loss of teeth, but otherwise very well-mineralized bone, having suffered from three episodes of trauma - an old-healed incomplete femoral neck fracture leading to severe osteoarthrosis, a clavicle fracture of the medial third with a few weeks old callus formation, and fresh serial rib fractures along with severe skull trauma with fractures of the os temporale and petrosum, presumably leading to intracranial bleeding and finally death. The type and distribution of these latter two injuries are in agreement with a murderous attack - which was retrospectively reported several years after his death, while the old-healed femoral neck fracture may have caused reduction in Joseph´s walking activities but not reduced requests for his services. Paleopathology not only identifies the terminal decline, but also previous diseases of this Old Bavarian character and thereby completes his story.

Personalized Explainable Recommendations for Self-Attention Collaboration

In recommender systems, providing reasonable explanations can enhance users’ comprehension of recommended results. Template-based explainable recommendation heavily relies on pre-defined templates, constraining the expressiveness of generated sentences and resulting in low-quality explanations. Recently, a novel approach was introduced, utilizing embedding representations of items and comments to address the issue of user IDs and item IDs not residing in the same semantic space as words, thus attributing linguistic meaning to IDs. However, these models often fail to fully exploit collaborative information within the data. In personalized recommendation and explanation processes, understanding the user’s emotional feedback and feature preferences is paramount. To address this, we propose a personalized explainable recommendation model based on self-attention collaboration. Initially, the model employs an attention network to amalgamate the user’s historical interaction feature preferences with their user ID information, while simultaneously integrating all feature information of the item with its item ID to enhance semantic ID representation. Subsequently, the model incorporates the user’s comment feature rhetoric and sentiment feedback to generate more personalized recommendation explanations utilizing a self-attention network. Experimental evaluations conducted on two datasets of varying scales demonstrate the superiority of our model over current state-of-the-art approaches, validating its effectiveness.

Textural indices of aerial images reveal urban landscapes temporal dynamics and their effects on plants and birds

Landscape temporal dynamics are a crucial concern in ecology to understand current biodiversity. But historical environmental data are often not easily available. This study assesses for the first time the potential of historical orthophotographs to describe past landscape conditions and determine the temporal lag between landscape changes and biotic communities responses.This method utilizes Gray level Co-occurrence Matrix (GLCM) texture indices computed from black and white orthophotographs to construct continuous metrics of landscape composition. Metrics were first developed using present-day data, i.e. 2015, and calibrated with categorical land cover maps of the Strasbourg Eurometropolis, France. Subsequently, these metrics were applied to historical orthophotographs from 1966, 1976, 1986, and 2000. Plant and bird data from research and citizen science programs were used to estimate the time delay in which these communities respond to evolutions in built areas and high vegetation.Obtained texture-based models reveal that built areas exhibit high contrast and homogeneity, depicted through a linear relation, and that high vegetation display low pixel brightness and high brightness diversity, better described via a nonlinear model. We successfully applied those findings to historical orthophotographs, and revealed dependencies on landscape composition up to 50 years ago for plants and up to 30 years ago for birds, with the time lag and the influence of built and high vegetation areas depending on the selected biodiversity indices.These results demonstrate the utility of archive black and white orthophotographs' texture indices for describing urban landscapes over the past five decades, making them valuable tools for ecological research. These indices are more accessible than categorical data like land cover maps for past years. They have the potential to greatly benefit future studies investigating time lags in landscape ecology, simplifying access to historical landscape features and contributing to sustainable urban planning efforts.

Conservation features of the terrestrial Antarctic Peninsula

Conserving landscapes used by multiple stakeholder groups requires understanding of what each stakeholder values. Here we employed a semi-structured, participatory approach to identify features of value in the terrestrial Antarctic Peninsula related to biodiversity, science and tourism. Stakeholders identified 115 features, ranging from Adélie penguin colonies to sites suitable for snowshoeing tourists. We split the features into seven broad categories: science, tourism, historic, biodiversity, geographic, habitat, and intrinsic features, finding that the biodiversity category contained the most features of any one category, while science stakeholders identified the most features of any stakeholder group. Stakeholders have overlapping interests in some features, particularly for seals and seabirds, indicating that thoughtful consideration of their inclusion in future management is required. Acknowledging the importance of tourism and other social features in Antarctica and ensuring their integration into conservation planning and assessment will increase the likelihood of implementing successful environmental management strategies into the future.

Construction of street tree risk assessment system and empirical analysis based on non-destructive testing technologies

The traditional visual tree assessment method is subjective in evaluating tree risks and therefore not effective in precisely detecting internal decay in tree trunk and root systems. To improve the accuracy of street tree risk assessment, a new nondestructive testing method was proposed. This new tree risk assessment method combines different non-destructive testing technologies, such as sonic tomography and ground-penetrating radar, which could significantly increase the accuracy of risk assessment in tree trunks and roots. The method was applied to evaluate the risk of 1,001 street trees in Shanghai’s historical feature protection area. The results revealed that despite most street trees having low branch and trunk risk levels, more than one-third had high root risk levels. The risk factors of street trees were mainly in the trunk and root system, with a significant correlation between the street tree risk level and tree cavities, diseases, and insect pests, as well as the depth and range of the root distribution, leaning, and internal decay in trunks. With the help of non-destructive testing and risk assessment analysis, as well as targeted prevention measures, the possibility of street risk damage was largely reduced, including street trees tilting and collapsing during typhoons, etc.