Geographic Shape Research Articles

The elephant in the room: How personal and workplace traits shape role stress in the construction industry

Geographical regions shape workplace stress, as each location presents distinct environmental, cultural, and socioeconomic conditions. These regional variations contribute to varying stress levels among workers depending on their unique conditions. This study explored the effects of personal and workplace traits on the role stress of the construction workforce in the South Asian region. Data were collected through a cross-sectional survey involving 274 project-level personnel from ten construction companies in Sri Lanka. Factor analysis validated regression analysis was performed to identify the effects of personal and workplace traits on role stress. The results highlighted the significance of age, education level, and organization tenure in shaping role stress. Specifically, the increasing age was associated with decreased role overload and work-family conflict. A higher level of education was linked to a greater likelihood of experiencing role conflict. Extended organization tenure was found to decrease role ambiguity but increase role conflict and work-family conflict among construction project employees. These findings hold implications for shaping organizational policies aimed at improving employee well-being. By incorporating these insights, organizations can develop strategies that foster a more supportive and healthier work environment.

3D Reconstruction of Geometries for Urban Areas Supported by Computer Vision or Procedural Generations

This work presents a numerical mesh generation method for 3D urban scenes that could be easily converted into any 3D format, different from most implementations which are limited to specific environments in their applicability. The building models have shaped roofs and faces with static colors, combining the buildings with a ground grid. The building generation uses geographic positions and shape names, which can be extracted from OpenStreetMap. Additional steps, like a computer vision method, can be integrated into the generation optionally to improve the quality of the model, although this is highly time-consuming. Its function is to classify unknown roof shapes from satellite images with adequate resolution. The generation can also use custom geographic information. This aspect was tested using information created by procedural processes. The method was validated by results generated for many realistic scenarios with multiple building entities, comparing the results between using computer vision and not. The generated models were attempted to be rendered under Graphics Library Transmission Format and Unity Engine. In future work, a polygon-covering algorithm needs to be completed to process the building footprints more effectively, and a solution is required for the missing height values in OpenStreetMap.

New England and Literary Tradition: Emily Dickinson and Robert Frost

This study explores how New England's cultural, historical, and environmental contexts have deeply influenced its literary tradition. By analyzing works from notable New England authors like Emily Dickinson and Robert Frost, the research investigates how the region's unique characteristics impact American literature's themes and storytelling styles. The paper establishes a theoretical foundation based on regionalism and sense of place theory to guide the in-depth analysis of literary texts. The main focus is on themes such as nature, morality, and community life that define New England's literary identity. This examination reveals the significant influence of the region on its writers. It contributes to a broader understanding of how geographical settings shape literary creativity.

Geographic location shapes fungal communities associated with Epidendrum roots

Fungal biodiversity significantly influences ecosystem dynamics through various interactions with plants, ranging from pathogenic to mutually beneficial associations. This study explores the fungal diversity associated with an ornamental orchid genus Epidendrum that is widely propagated globally but native to northern South America. Root samples were collected from Epidendrum in diverse geographic locations: Brazil, Colombia, Germany, Spain and six South African provinces. Fungal biodiversity was catalogued from the genomic DNA extracted from these roots using fungal-specific primers and Illumina MiSeq sequencing. Bioinformatic and statistical analyses revealed significant fungal diversity in the roots, with distinct dominant orders in each geographic region. Among the South African samples, significant differences were found in alpha diversity indices and species richness. Even though samples originating from different provinces overlapped in the PCoA plot, PERMANOVA indicated a significant difference in the fungal biodiversity, which was further supported by PERMDISP. In the global dataset, alpha diversity indices were insignificant, but species richness was. In the PCoA plot, data points clustered by sampling sites, indicating substantial differences in fungal biodiversity between the samples. This was validated by PERMANOVA and PERMDISP analyses. Outcomes from the core fungal analyses showed Epidendrum retained a conserved set of fungal orders from its native habitat when it transitioned to exotic regions, while it also formed new associations with local fungal communities in these introduced regions. These findings highlight the role of both core and region-specific fungal communities in the ecological adaptability and success of this widely planted orchid genus.

PENGARUH LETAK, LUAS DAN BENTUK TERHADAP PEMERINTAHAN NEGARA SERTA BATAS NEGARA INDONESIA

This research aims to analyze the influence of location, area and form on state government based on the geographical context of Indonesian politics. The analysis was carried out by reviewing papers containing descriptions of the influence of the location, extent and shape of Indonesia in terms of political geography. The discussion begins with the influence of Indonesia's astronomical and geographical location, the size of its territory, islands and seas, as well as the shape of its landmass on state government. The research results show that geographical location, area and shape have positive and negative influences on Indonesian government in various political, economic, social and cultural aspects.

Substantial Warming of the Atlantic Ocean in CMIP6 Models

Abstract The storage of anthropogenic heat in oceans is geographically inhomogeneous, leading to differential warming rates among major ocean basins with notable regional climate impacts. Our analyses of observation-based datasets show that the average warming rate of 0–2000-m Atlantic Ocean since 1960 is nearly threefold stronger than that of the Indo-Pacific Oceans. This feature is robustly captured by historical simulations of phase 6 of Coupled Model Intercomparison Project (CMIP6) and is projected to persist into the future. In CMIP6 simulations, the ocean heat uptake through surface heat fluxes plays a central role in shaping the interbasin warming contrasts. In addition to the slowdown of the Atlantic meridional overturning circulation as stressed in some existing studies, alterations of atmospheric conditions under greenhouse warming are also essential for the increased surface heat flux into the North Atlantic. Specifically, the reduced anthropogenic aerosol concentration in the North Atlantic since the 1980s has been favorable for the enhanced Atlantic Ocean heat uptake in CMIP6 models. Another previously overlooked factor is the geographic shape of the Atlantic Ocean which is relatively wide in midlatitudes and narrow in low latitudes, in contrast to that of the Indo-Pacific Oceans. Combined with the poleward migration of atmospheric circulations, which leads to the meridional pattern of surface heat uptake with broadly enhanced heat uptake in midlatitude oceans due to reduced surface wind speed and cloud cover, the geographic shape effect renders a higher basin-average heat uptake in the Atlantic.

A Review Study on Comparison of G+10 Structure with Several Materials Masonry, Concrete and Glass Fiber Reinforced Gypsum Panel (GFRG)

Glass fiber reinforced gypsum plasterboard (GFRG) is an environmentally friendly product. They are made of modified plaster and reinforced with fiberglass strips. Its main use is in the construction of walls, but it can also be used in combination with reinforced concrete on floors and roofs. The panels have voids that can be filled with concrete or reinforced with steel bars to increase strength and ductility. These panels can be used as an alternative building material to replace bricks and concrete blocks. IIT Madras has conducted several research studies and developed a structural design manual for designing buildings constructed by GFRG. Phosphor gypsum is a by-product of the fertilizer industry. In addition to its use as a fertilizer, building material, and soil stabilizer, approximately 85% of phosphor gypsum is disposed of near phosphate plants, which require large disposal sites. Phosphorus from gypsum can be effectively removed by creating glass fiber reinforced gypsum plasterboard (GFRG), also known as fast wall. They may or may not be used as support structures. In this research work we design three different models of G+10 in 5th zone of earthquake as on IS code. The lateral load such as earthquake is to be classified as live horizontal forces acting on the structure depending on the structure’s geographic location, height, shape and structural material. In this study, a multi-story Glass fiber reinforced panel and Brick-infill and concrete block infill wall building has been shown and performed by using software ETABS constructed on a plan ground having G+10 stories. Keywords: GFRG Panels, Concrete Blocks, Clay Bricks, Lateral Loading, Light weight Construction and Masonry etc.

An entity alignment approach coupling NGBoost and SHAP for constructing spatio-temporal evolution knowledge graph from historical atlases

The historical atlases provide a wealth of information about the evolution of geography over time and space. The alignment of geographical entities across varying time periods is a crucial aspect of extracting meaningful insights into the spatio-temporal dynamics of geography. This paper proposes a geographic entity alignment approach coupling Natural Gradient Boosting (NGBoost) with SHapley Additive exPlanation (SHAP). Taking the historical atlas of China as a case study, a geographic entity alignment model based on NGBoost is constructed considering the different kinds of similarity features of geographic entities, including semantic, distance, shape, size and topology. The contribution of similarity features in the NGBoost model is analyzed using the SHAP framework so as to improve the explanatory capacity of the model. The spatio-temporal evolution relationships of geographic entities are generated by association rules depending on alignment types and represented as quadruples, for constructing geographic knowledge graphs. The proposed NGBoost method was found a superior accuracy by comparing with BP neural networks, random forests, and other alternative methods for aligning geographic entities. The constructed geographic spatio-temporal evolution knowledge graphs offer valuable support for the queries of evolutionary knowledge.

Identifying building function using multisource data: A case study of China's three major urban agglomerations

As crucial geographical components shaping urban landscapes, defining the functions of buildings plays one of the pivotal roles in planning urban development and facilitating socio-economic human activities. Existing studies in large-scale mapping mainly ignore the environment around buildings, leading to insufficient meeting the demands of large-scale building-level mapping in certain disciplines. To abridge this gap, this article calculates the geometric characteristics of building footprint, the distances from buildings to adjacent objects, and the kernel densities of Point-of-Interest (POIs) to identify building main functions in three Chinese urban agglomerations (Beijing-Tianjin-Hebei Urban Agglomeration, Yangtze River Delta Urban Agglomeration, and Pearl River Delta Urban Agglomeration). Leveraging XGBoost, our models attained accuracies of 0.936, 0.934, and 0.940 in the three urban agglomerations, accompanied by kappa coefficients of 0.883, 0.868, and 0.891 respectively, suggesting their capability of identifying building functions in large-scale mapping. Furthermore, the conducted experiments on varying feature combinations and transferability highlight the significance of the built environment in enhancing classification accuracy. Additionally, the analysis of the classification results of buildings in the three urban agglomerations shows harmonized development strategies for Yangtze River Delta Urban Agglomeration and Pearl River Delta Urban Agglomeration, while cities within the Beijing-Tianjin-Hebei Urban Agglomeration do not show the same development strategies. All results demonstrate the feasibility of employing multi-source accessible data to efficiently categorize building functions over large areas in a cost-effective manner. This methodology can be replicated in China and even on a larger scale to offer insights into complex urban spaces and to help urban planners provide policy support such as old city renovations and new city planning.

The Impact of Social Media on Mental Health: A Comparative Study of Adolescents in Urban and Rural Communities

This paper explores the impact of social media on the mental health of adolescents in urban and rural communities. The researchers explore how geographical settings shape social media use and its consequences for mental well-being. Initial findings indicate that, while social media is prevalent among adolescents in both areas, urban youth exhibit higher engagement and greater susceptibility to negative mental health outcomes. The paper contributes to the ongoing discourse on digital well-being, emphasizing the need for targeted interventions to foster a healthier approach to social media among adolescents

Московская компания и английские экспедиции в Северную Америку в последней четверти XVI века

The introduction of the article includes the justification of the necessity to determine the role of the English Muscovy Company in the study of the geography of North America in the last quarter of the 16th century. The monopoly of the Muscovy Company and the significance of this commercial firm in the discovery of the northeast coast and Arctic waters of North America have not yet been studied. Documents (charters, reports, letters, petitions, and treatises) directly related to the organization of English voyages to the American Arctic waters, as well as diplomatic documents, are used as materials. Analysis. The reasons and circumstances of the Muscovy Company’s monopoly on the search for the North-West Passage in North America are studied. The company’s contribution to the organization of the expeditions of Martin Frobisher in 1576 and John Davis in 1585– 1587 is determined. The attempts of the Cathay Company and Humphrey Gilbert at the turn of the 1570s–1580s to deprive “Muscovite” merchants of this privilege are analyzed. It is proven that even at the beginning of the 17th century, the Moscow Company retained a monopoly on the exploration of the Arctic seas. Results. With its monopoly on the search for the North-West Passage and its organizational and financial support, the Muscovy Company made an important contribution to the exploration of the north-eastern coast of North America in the last quarter of the 16th century. English navigators had the opportunity to explore Arctic waters, step by step shaping the modern geographical shape of North America on maps.

Influence of Industrial Symbiosis on Solid Waste Reuse in Manufacturing Industries in Kisumu County, Kenya

Industrial symbiosis (IS) is a practical approach to sustainable economic and environmental management involving exchanging materials, energy, water, and by-products among industries. While IS has been extensively studied in developed countries, its implementation in developing countries still needs to be improved. The purpose of the research was to assess the influence of geographical proximity and symbiotic intensity on the exchange of solid waste materials. This study employed a descriptive, cross-sectional research design and examined 41 manufacturing industries in Kisumu County, Kenya. A combination of quantitative and qualitative data was collected through questionnaires administered to technical officers in the industry. Besides, in-depth interviews with industry experts, county administrators, and industry association representatives were conducted, providing valuable insights and perspectives on the subject matter. The findings established that geographical proximity did not significantly influence types of waste exchanged (p = 0.298, p = 0.327, and p = 0.535) using nutrient-value waste as the reference category. This finding was likely due to high variability in distance between industries in the symbiotic exchanges. In contrast, the symbiotic intensity statistically significantly influenced the amount of solid waste reused in the network (Adjusted R2 = 0.113, p = 0.039). Furthermore, it was established that increasing the number of actors in the network (β = 0.324) can significantly impact solid waste reuse more than increasing the number of types of waste being exchanged (β = 0.243). This study underscores IS as a sustainable alternative to conventional manufacturing, especially in developing countries, while indicating that factors other than geographical proximity shape symbiosis.

How does geographical diversity shape vaccine efficacy?

Vaccination is a cornerstone of public health, saving millions of lives each year by preventing a variety of infectious diseases. Yet, despite global vaccination efforts, emerging research highlights significant geographical disparities in vaccine efficacy and immunogenicity. These variations underscore the critical interplay between immunological factors and environmental, genetic, and nutritional elements across different populations. Our review article aimed to explore the multifactorial reasons behind geographical variations in vaccine efficacy. Also, this study has shown how important host factors like age, obesity, gender, and genetic diversity, especially within the major histocompatibility complex, are in determining how well a vaccine works. Nutritional status, namely deficiencies in micronutrients such as vitamins and zinc, and lifestyle factors including stress, sleep, alcohol consumption, and physical activity are also shown to have profound effects on vaccine-induced immunity. Importantly, our paper also brought to light the influence of microbial and ecological factors, such as the gut microbiome and environmental pollutants, on the immune system's response to vaccination. The findings emphasize the importance of tailoring vaccination strategies to accommodate the unique immunological landscapes shaped by geographical and societal factors. This tailored approach could enhance vaccine efficacy, reduce disparities in vaccine response, and ultimately contribute to the global fight against infectious diseases.

TEMPORAL AND GEOGRAPHICAL FORCES IN SHAPING IBN KHALDUN'S THEORY: RELEVANCE AND APPLICATION IN MODERN SOCIETAL DYNAMICS

The article examines and discusses temporal and geographical forces shaping Ibn Khaldun's theory's relevance and application in modern societal dynamics. The report provides the critical biographies of Ibn Khaldun to understand better the thinker’s philosophical perspectives on history and civilization. The study explains how historical context shapes Ibn Khaldun’s thought. Moreover, the study argues that Ibn Khaldun had a theory on the development and collapse of states and civilizations relevant to modern societal dynamics. Besides, it evaluates Ibn Khaldun’s concepts and relates them to the present day. This study claims that Ibn Khaldun's perspectives on history, society, and civilization are less subjective and more rational. Further, this study examines the impact of leadership qualities and the influence of ‘asabiyyah and cycle patterns and Ibn Khaldun’s reflections on the socio-economic complexity of the modern world. Ibn Khaldun’s interpretations and definitions of history and civilization resulted in significant innovation in human science. The study adopts qualitative research techniques to achieve its objectives. Ibn Khaldun had a multi-dimensional outlook on civilization and history and the way history develops. This study argues that his multidimensional approach to history deserves a new analytical study.

Seascape genomics of the pink abalone (Haliotis corrugata): An insight into a cross-border species in the northeast Pacific coast.

Seascape genomics gives insight into the geographic and environmental factors shaping local adaptations. It improves the understanding of the potential effects of climate change, which is relevant to provide the basis for the international management of fishery resources. The pink abalone (Haliotis corrugata) is distributed from California, United States to Baja California Sur, Mexico, exposed to a latitudinal environmental gradient in the California Current System. Management of the pink abalone contrasts between Mexico and the United States; Mexico has an active fishery organized in four administrative areas, while the United States has kept the fishery in permanent closure since 1996. However, the impact of environmental factors on genetic variation along the species distribution remains unknown, and understanding this relationship is crucial for effective spatial management strategies. This study aims to investigate the neutral and adaptive genomic structure of H. corrugata. A total of 203 samples from 13 locations were processed using ddRADseq, and covering the species' distribution. Overall, 2,231 neutral, nine potentially adaptive and three genomic-environmental association loci were detected. The neutral structure identified two groups: 1) California, United States and 2) Baja California Peninsula, México. In addition, the adaptive structure analysis also detected two groups with genetic divergence observed at Punta Eugenia. Notably, the seawater temperature significantly correlated with the northern group (temperate) and the southern (warmer) group. This study is a valuable foundation for future research and conservation initiatives, emphasizing the importance of considering neutral and adaptive genetic factors when developing management strategies for marine species.

Exploring the Landscape of AI-SDN: A Comprehensive Bibliometric Analysis and Future Perspectives

The rising influence of artificial intelligence (AI) enables widespread adoption of the technology in every aspect of computing, including Software-Defined Networking (SDN). Technological adoption leads to the convergence of AI and SDN, producing solutions that overcome limitations present in traditional networking architecture. Although numerous review articles discuss the convergence of these technologies, there is a lack of bibliometric trace in this field, which is important for identifying trends, new niches, and future directions. Therefore, this study aims to fill the gap by presenting a thorough bibliometric analysis of AI-related SDN studies, referred to as AI-SDN. The study begins by identifying 474 unique documents in the Web of Science (WoS) database published from 2009 until recently. The study uses bibliometric analysis to identify the general information, countries, authorship, and content of the selected articles, thereby providing insights into the geographical and institutional landscape shaping AI-SDN research. The findings provide a robust roadmap for further investigation in this field, including the background and taxonomy of the AI-SDN field. Finally, the article discusses several challenges and the future of AI-SDN in academic research.

Measuring the Influence of Multiscale Geographic Space on the Heterogeneity of Crime Distribution

Urban crimes are not homogeneously distributed but exhibit spatial heterogeneity across a range of spatial scales. Meanwhile, while geographic space shapes human activities, it is also closely related to multiscale characteristics. Previous studies have explored the influence of underlying geographic space on crime occurrence from the mechanistic perspective, treating geographic space as a collection of points or lines, neglecting the multiscale nature of the spatial heterogeneity of crime and underlying geographic space. Therefore, inspired by the recent concept of “living structure” in geographic information science, this study applied a multiscale analysis method to explore the association between underlying geographic space and crime distribution. Firstly, the multiscale heterogeneity is described while simultaneously considering both the statistical and geometrical characteristics. Then, the spatial association rule mining approach is adopted to quantitatively measure the association between crime occurrence and geographic space at multiple scales. Finally, the effectiveness of the proposed methods is evaluated by crime incidents in the city of Philadelphia. Experimental results show that crime heterogeneity is indeed closely related with the spatial scales. It is also proven that the influence of underlying geographic space on crime heterogeneity varies with the spatial scales. This study may enrich the methodology in crime pattern and crime explanation analysis, and it provides useful insights for effective crime prevention.

Earthquake Consideration in Architectural Design: Guidelines for Architects

Architectural planners must give due consideration to seismic events as they present substantial hazards to both critical infrastructure and human well-being. This research investigates the fundamental concepts and methodologies employed by architects to enhance seismic resilience in buildings and ensure the safety of occupants. It emphasizes the importance of seismic hazard assessment, design standards, structural systems, and cutting-edge technology in reducing earthquake-related dangers. A mixed method has been adopted: surveying the literature, applying inductive reasoning, and conducting a case study. This research highlights the value of interdisciplinary cooperation between structural engineers, geotechnical experts, and architects to design resilient built environments that can survive the pressures unleashed by seismic occurrences. The findings demonstrated that architectural design solutions and approaches might significantly impact earthquake risk reduction techniques in seismic and non-seismic locations. In the cases taken, different techniques—in some cases multiple techniques—had been applied based on the buildings’ geographical locations, sizes, and shapes. Finally, we prepared a checklist for these strategies, including mass distribution, openings, rooftop structures, and other considerations to be applied by architects to make the solutions easier.

Morbus Hansen

Morbus Hansen (MH) which is called leprosy or leprosy is an infectious disease that causes health problems throughout the world. Leprosy is spread all over the world, especially in tropical and subtropical areas and attacks all ages with the highest frequency in the age group of 20 to 30 years. Case Presentation : Mr. AB, male, aged 33 years, came complaining of numbness and frequent tingling. Hands and feet began to swell and sore. Some toenails fall off unnoticed. Physical examination found composmentis awareness. The general status of the patient was madarosis in both eyelashes, the eyes looked anemic. Ears found infiltrates in both earlobes. Dermatological status in the facial region and superior extremities showed multiple hyperpigmented macules and patches, well defined, geographic shape, sizes vary. Bacteriological examination with Slit Skin Smear on the earlobes found 1-10 Acid-Fast Bacilli (AFB) / 100 fields of view (+1). Bacteriological Index obtained +1. Conclusion: The patient was diagnosed with MB type leprosy accompanied by Erythema Nodusum Leprosum

Analysis of tree quality on the green line using google earth in Tanjung Morawa District, Deli Serdang Regency

City development with unfriendly development causes the quality and quantity of open green space to decrease. Google Earth is an interactive mapping application released by google, which displays a digital visualization of the geographical shape of the earth. This study aims to determine the type and quality of trees on the urban forest in the Tanjung-Morawa sub-district and to map the quality of trees on the urban forest in the Tanjung-Morawa sub-district. This study uses a modified method of tree quality assessment with two criteria: tree health and technically criteria. From the observation result, there are 18 trees, Glodokan (Polyalthia longifolia) with the highest number, as many as 842 trees, and Dadap Merah (Erythrina crista goly) as the tree with the least amount. The quality of the trees in the urban forest shows a moderate good quality, where the highest health is in the medium category and for the technical in the low category. Trees that are recommended to be cut have a cumulative ≥ 2,5 Angsana trees with a total of 129 trees, and the highest cumulative percentage is the Banyan tree at 66,67%. The Mango tree has the lowest rate at 8,70%. Google Earth can’t be used optimally because of the low-resolution image quality. Image capture data in google earth has not been updated; the unstable internet connection and the time of the retrieval and processing of field data are not the same as the time retrieval and processing.