Search Results (2,586)

The Internet of Things (IoT) envisions the interconnection of all electronic devices, ushering in a new technological era. IoT and 5G technology are linked, complementing each other in a manner that significantly enhances their impact. As sensors become increasingly embedded in our daily lives, they transform everyday objects into “smart” devices. This synergy between IoT sensor networks and 5G creates a dynamic ecosystem where the infrastructure provided by 5G’s high-speed, low-latency communication enables IoT devices to function more efficiently and effectively, paving the way for innovative applications and services that enhance our awareness and interactions with the world. Moreover, application-oriented and multifunctional antennas need to be developed to meet these high demands. In this review, a comprehensive analysis of IoT antennas is conducted based on their application characteristics. It is important to note that, to the best of our knowledge, this is the first time that this categorization has been performed in the literature. Indeed, comparing IoT antennas across different applications without considering their specific operational contexts is not practical. This review focuses on four primary operational fields: smart homes, smart cities, and biomedical and implantable devices. Full article

To ensure the sustainable development of artificial intelligence (AI) application in urban and geospatial science, it is important to protect the geographic privacy, or geo-privacy, which refers to an individual’s geographic location details. As a crucial aspect of personal security, geo-privacy plays a key role not only in individual protection but also in maintaining ethical standards in geoscientific practices. Despite its importance, geo-privacy is often not sufficiently addressed in daily activities. With the increasing use of large multimodal models (LMMs) such as GPT-4 for open-source intelligence (OSINT), the risks related to geo-privacy breaches have significantly escalated. This study introduces a novel GPT-4-based model, GeoLocator, integrated with location capabilities, and conducts four experiments to evaluate its ability to accurately infer location information from images and social media content. The results demonstrate that GeoLocator can generate specific geographic details with high precision, thereby increasing the potential for inadvertent exposure of sensitive geospatial information. This highlights the dual challenges posed by online data-sharing and information-gathering technologies in the context of geo-privacy. We conclude with a discussion on the broader impacts of GeoLocator and our findings on individuals and communities, emphasizing the urgent need for increased awareness and protective measures against geo-privacy breaches in the era of advancing AI and widespread social media usage. This contribution thus advocates for sustainable and responsible geoscientific practices. Full article

Unintentional injuries pose a significant risk to children in early years globally. In particular, toddlers and preschoolers are vulnerable to injuries that occur at home. Despite the availability of preventive measures that can greatly reduce the risks of domestic injuries, some caregivers (e.g., parents) of children in early childhood may not fully implement these safety measures due to poor behavioral adherence or low awareness of the risk of domestic injury. Therefore, it is crucial to understand how caregivers in different cultural contexts approach injury prevention in the home environment. In this multi-cultural study, we investigated the motivational and belief processes underlying childhood domestic injury prevention among a total of 2059 primary caregivers (parents/guardians) of infant and toddlers (aged 2 to 6 years) across four societies, Australia (AU; N = 500), the United States (US; N = 500), Singapore (SG; N = 507), and Hong Kong (HK; N = 552), by applying the integrated model of self-determination theory (SDT) and theory of planned behavior (TPB). Our results support the key tenets of the integrated model and demonstrated cultural invariance model pathways across the four societies studied. In particular, the positive relationships among psychological need support, autonomous motivation, socio-cognitive beliefs, intention, and behavior adherence remained constant across societies. With a multi-cultural sample, this study provides valuable insights into the similarities and differences in motivation and beliefs surrounding childhood domestic injury prevention across these four societies. Full article

In the context of the growing demand for alternative protein sources with the growth of the human population and increasing ecological awareness, the rearing of yellow mealworm larvae (Tenebrio molitor) is a promising option for the production of sustainable protein. The article presents a comprehensive approach to planning and scheduling the production of yellow mealworm larvae in a small enterprise, focusing on the organizational, technical, and economic aspects of the production process. The production installation, the method of rearing using an automated feeding system, and the monitoring of larvae development were described and an attempt was made to identify the key parameters of the process that affect its efficiency. Particular attention was paid to the calculation algorithm implemented in the spreadsheet, which allows the selection of the production batch size and the frequency of their launch, so as to maximize the available capacity of storage racks for cuvettes. In addition, the article analyses logistical challenges related to the production of larvae, including transport activities in order to meet, among others, the demand for feed. Finally, the estimation of revenues and economic indicators, such as profitability and return on investment, is presented, pointing to the need for further improvements in the production process and cost optimization to achieve favorable financial results. The results of the research emphasize the potential of rearing yellow mealworm larvae as a sustainable source of protein while simultaneously pointing to key areas that require further research and development. Full article

Drawing on a case study from Ternate Island, a densely populated volcanic island in Eastern Indonesia, this research illustrates how multi-hazards and extreme weather events are likely to compound and cascade, with serious consequences for sustainable development in small island context. At the heart of Ternate Island sits the active Gamalama volcano, posing a constant eruption threat. Its location within the Ring of Fire further exposes the island to the risks of tsunamis and earthquakes. Additionally, the island’s physical features make it highly susceptible to flooding, landslides, and windstorms. Rapid urbanization has led to significant coastal alterations, increasing exposure to hazards. Ternate’s small-island characteristics include limited resources, few evacuation options, vulnerable infrastructure, and inadequate resilience planning. Combining GIS multi-hazard mapping with a structured survey in 60 villages in Ternate, this case study investigates the multi-hazard exposure faced by the local population and land coverage. The findings suggest significant gaps between village chiefs’ perceptions of the types of hazards and the multi-hazard assessment in each village. Out of 60 village chiefs surveyed, 42 (70%) are aware of earthquake risks, 17 (28%) recognize tsunami threats, and 39 see volcanoes as a danger. GIS assessments show that earthquakes could impact all villages, tsunamis could affect 46 villages (77%), and volcanoes could threaten 39 villages. The hazard map indicates that 32 villages are at risk of flash floods and 37 are at risk of landslides, and extreme weather could affect all villages. Additionally, 42 coastal villages on Ternate Island face potential extreme wave and abrasion disasters, but only 18 chiefs acknowledge extreme weather as a threat. The paper argues that addressing the cognitive biases reflected in the perceptions of community leaders requires transdisciplinary dialogue and engagement. Full article

Background and Objectives: Facial symmetry is a key component of facial beauty and attractiveness. However, perfect symmetry is rare, and slight asymmetries, also known as natural asymmetries, are common and contribute to the uniqueness of each face. The perception of facial asymmetry varies among individuals and can be influenced by several factors. This study aimed to investigate the self-perception of dento-facial asymmetry among a sample of Romanian individuals, focusing on their awareness, the extent to which it bothers them, and their desire for correction. Materials and Methods: A cross-sectional analytical study was conducted with 283 participants from Romania between January and February 2024. Participants completed a questionnaire designed to assess their self-perception of facial asymmetry and socio-demographic characteristics. The questionnaire included 10 questions on self-perception of facial asymmetry and 8 questions on socio-demographic data. Statistical analysis was performed using SPSS 26.0, and the Pearson Chi-square test was used for comparative analysis. Results: The sample was predominantly female (75.3%) with an average age of 32.24 years. Most participants were from urban areas (80.6%) and had university degrees (58.7%). About 28.7% of participants observed facial asymmetry, with dental asymmetry being the most frequently reported, followed by asymmetries in the eyebrows and eyelids. The right side of the face was more commonly perceived as asymmetric. Although 24.4% of participants were bothered by their asymmetry, 39.2% expressed a desire to correct it. Conclusions: One-third of participants identified dento-facial asymmetry, with the dental level being the most reported. A significant portion of participants expressed a desire to correct their asymmetries, highlighting the importance of understanding self-perception in the context of facial aesthetics. This study underscores the subjective nature of facial asymmetry perception and the varying thresholds for what is considered bothersome or in need of correction. Full article

A major issue recurrent in sustainability ensuring concerns is pollution due to human activities, mainly related to the reduction in waste generation. The present study aims to identify students’ awareness of waste management, their daily routines in separately collecting recyclable waste, and their behaviors leading to reducing wasteful consumption in campus residential living, in a large university in the Western part of Romania, to channel the strategic plan of the university and the efforts of institutional teams dealing with the issues of waste management and sustainability. The methodology consists of an analysis of waste management in the university campus hosting around 6000 students in 16 dormitories, and of an anonymous online survey mapping the self-perceived behavior of students in solid waste management. Data from 1172 valid responses are refined through factorial analysis. While recycling behavior seems to be largely shared by the respondents, with more than 50% declaring that they always reuse recyclables, separate collection of waste is typical for only a quarter of the sample. Therefore, a vigorous intervention is needed to guide young adults’ behavior towards sustainability choices. Campus greening needs to join interventions from the university, in charge of campus life in the selected case, city administration, waste management companies, and the student body. The findings are useful to explore the possible directions for action to increase or contribute to territorial sustainability in the socio-ecological context of Timisoara, the largest university city in the western part of Romania through educational, managerial, and policy interventions, based on local partnerships and collaborations, in accordance with SDG 17. Full article

In the rapidly evolving online marketplace, accurately predicting the demand for pre-owned items presents a significant challenge for sellers, impacting pricing strategies, product presentation, and marketing investments. Traditional demand prediction methods, while foundational, often fall short in addressing the dynamic and heterogeneous nature of e-commerce data, which encompasses textual descriptions, visual elements, geographic contexts, and temporal dynamics. This paper introduces a novel approach utilizing the Graph Neural Network (GNN) to enhance demand prediction accuracy by leveraging the spatial relationships inherent in online sales data, named SGNN. Drawing from the rich dataset provided in the fourth Kaggle competition, we construct a spatially aware graph representation of the marketplace, integrating advanced attention mechanisms to refine predictive accuracy. Our methodology defines the product demand prediction problem as a regression task on an attributed graph, capturing both local and global spatial dependencies that are fundamental to accurate predicting. Through attention-aware message propagation and node-level demand prediction, our model effectively addresses the multifaceted challenges of e-commerce demand prediction, demonstrating superior performance over traditional statistical methods, machine learning techniques, and even deep learning models. The experimental findings validate the effectiveness of our GNN-based approach, offering actionable insights for sellers navigating the complexities of the online marketplace. This research not only contributes to the academic discourse on e-commerce demand prediction but also provides a scalable and adaptable framework for future applications, paving the way for more informed and effective online sales strategies. Full article

Accurate indoor–outdoor detection (IOD) is essential for location-based services, context-aware computing, and mobile applications, as it enhances service relevance and precision. However, traditional IOD methods, which rely only on GPS data, often fail in indoor environments due to signal obstructions, while IMU data are unreliable on unseen data in real-time applications due to reduced generalizability. This study addresses this research gap by introducing the DeepIOD framework, which leverages IMU sensor data, GPS, and light information to accurately classify environments as indoor or outdoor. The framework preprocesses input data and employs multiple deep neural network models, combining outputs using an adaptive majority voting mechanism to ensure robust and reliable predictions. Experimental results evaluated on six unseen environments using a smartphone demonstrate that DeepIOD achieves significantly higher accuracy than methods using only IMU sensors. Our DeepIOD system achieves a remarkable accuracy rate of 98–99% with a transition time of less than 10 ms. This research concludes that DeepIOD offers a robust and reliable solution for indoor–outdoor classification with high generalizability, highlighting the importance of integrating diverse data sources to improve location-based services and other applications requiring precise environmental context awareness. Full article

Current approaches to context-related studies primarily emphasize monitoring temporal changes in the physical environment to achieve context awareness. However, these approaches often overlook the individual’s subjective perception of these contextual changes. Even psychological studies tend to attribute contextual influences solely to external parameters, neglecting the nuanced human perception of such changes. In this paper, we propose a novel concept for context-related adaptation rooted in the individual’s perception of contextual changes. To address this question, we conducted an experiment involving 18 volunteers to assess the contextual influence of controlled stimuli on each participant individually. Through the collection of both objective data and self-reported subjective assessments, we present initial results indicating the potential for integrating individual perception into context-related adaptation. These findings strongly suggest that contextual changes influence each person in correspondence with their own personal traits, underscoring the relevance of the proposed concept and the need for future research in this direction. Moreover, several challenges remain, particularly in developing a reliable model for assessing human subjective perception. These challenges include obtaining sufficient data from multiple modalities and implementing real domain-specific context scenarios. Full article

The study evaluates the impact of behavioral changes resulting from climate awareness on energy consumption and carbon emissions in European households based on the results of a two-stage survey addressed to individuals manifesting pro-ecological attitudes. In the first stage, the author analyzed 67 pro-environmental behaviors declared by the participants, identified a set of new sustainable choices, and compared them to the conservation habits used in Rasch and Campbell’s models. The 10 most popular initiatives undertaken by over 50% of participants were selected for further analysis. The influence of these initiatives on energy consumption and CO₂ emissions was assessed. A total of 24 impact indicators were identified at the building scale. Energy and carbon savings were calculated for 500 participants from 28 European countries and compared to the results computed for the 100 households used as a reference. The main conclusions from the research concern the significance of individual decisions at the building scale in the context of their actual environmental impact calculated for a larger scale. The comparative analysis showed that the highest annual energy (2292.1 MWh) and emission (267.02 tons of CO₂) savings resulted from the car-to-bicycle (or walking) transition on short-distance trips (declared by 79%) and from the transition from non-renewable to renewable energy sources (PV panels installed by 65% of respondents). Annual energy and emission savings reached, respectively, 1300 MWh and 262.6 tons of CO₂. The research findings help explain the critical importance of transforming the built environment towards renewable energy sources and supporting pedestrian and sustainable transportation. Full article

Accessibility to rigorous scientific information to promote risk mitigation measures by citizens is crucial, especially in the context of climate change and extreme weather events. This study focuses on the perception of flood risk and the implementation of mitigation strategies by residents in drylands urban sprawl areas. Risk perception, defined as the subjective assessment of the likelihood and potential consequences of flooding, is a key element of mitigation. While many studies have explored the link between risk perception and behaviour, this research addresses gaps in understanding how public information affects these perceptions and actions. In areas of rapid urban expansion, where regulation often overlooks environmental features, the lack of adequate information poses significant barriers to effective risk mitigation. This research reveals that although residents claim to understand flooding, their descriptions often indicate a lack of understanding of the phenomenon. This ‘passive optimism’ could be mitigated by providing rigorous information and specific technical recommendations. This study highlights the disconnect between residents’ awareness of flood risks and the inadequacy of preventive measures, underlining the importance of targeted information and collaboration between the scientific community, government sectors, and local populations. Full article

Genesis 3:16 is arguably the most troubling biblical verse for issues of gender relations and women’s roles. It figures prominently in later Jewish and especially Christian sources, and discussions in those texts have influenced subsequent understandings of the verse and of the Eden narrative in which it is embedded. This article engages in a careful reading of the biblical text in order to elucidate its meaning apart from later traditions. Recognizing the poetic character of the four lines of this verse is an important part of the analytical process, as is situating it within the Eden tale. Also, because no text arises in a vacuum, considering the Iron Age context—the world of the Israelite populace, that is, the world behind the text, a world vastly different from our own—provides the requisite socio-historical sensitivity. An awareness of that ancient context means openness to a suggestion about what Gen 3:16 may have meant to its ancient audience. Full article

With the deepening of environmental governance, the overall environmental quality of the region has been improved. However, internal environmental inequality, especially urban–rural environmental inequality, has continued to come to the fore. Nevertheless, there are still few studies on how to mitigate the increasing urban–rural environmental inequality. On the basis of examining the urban–rural environmental inequality in China’s environmental emission reduction investment dimension, this research verified the impact and mechanism of informal regulatory forces (grassroots party organizations) in alleviating urban–rural environmental inequality. In particular, based on an empirical analysis of data from the Chinese Private Enterprise Survey (CPES) 2006–2014, this study found that (1) investment in environmental management of polluting enterprises in rural areas is significantly lower than in urban areas, and the trend of urban–rural environmental inequality is intensifying; (2) urban–rural environmental inequality is more pronounced at the enterprise level in areas with larger enterprises and greater environmental enforcement and that urban-centered environmental regulatory policies continue to exacerbate urban–rural environmental inequality; and (3) the embeddedness of regional party organizations can narrow the gap between urban and rural environmental protection investment by private enterprises and alleviate urban–rural environmental inequality. The specific pathway is to improve rural enterprises’ social responsibility awareness and policy implementation. Based on the above findings, this paper argues that a gradual break with “urban-centered environmentalism” is the fundamental solution to urban–rural environmental inequality. However, in the current context of limited resources for formal environmental regulation, the power of informal environmental regulation can still mitigate these effects. Full article

Graffiti represents a multi-disciplinary social behavior. It is used to annotate urban landscapes under the assumption that building façades will constantly evolve and acquire modified skins. This study aimed to simulate the interaction between building façades and generative AI-based graffiti using Stable Diffusion^® (SD v 1.7.0). The context used for graffiti generation considered the graffiti as the third skin, the remodeled façade as the second skin, and the original façade as the first skin. Graffiti was created based on plain-text descriptions, representative images, renderings of scaled 3D prototype models, and characteristic façades obtained from various seed elaborations. It was then generated from either existing graffiti or the abovementioned context; overlaid upon a campus or city; and judged based on various criteria: style, area, altitude, orientation, distribution, and development. I found that rescaling and reinterpreting the context presented the most creative results: it allowed unexpected interactions between the urban fabric and the dynamics created to be foreseen by elaborating on the context and due to the divergent instrumentation used for the first, second, and third skins. With context awareness or homogeneous aggregation, graphic partitions can thus be merged into new topologically re-arranged polygons that enable a cross-gap creative layout. Almost all façades were found to be applicable. AI generation enhances awareness of the urban fabric and facilitates a review of both the human scale and buildings. AI-based virtual governance can use generative graffiti to facilitate the implementation of preventive measures in an urban context. Full article