Search Results (8,294)

Pre-trained neural networks like GPT-4 and Llama2 have revolutionized intelligent information processing, but their deployment in industrial applications faces challenges, particularly in harsh environments. To address these related issues, model offloading, which involves distributing the computational load of pre-trained models across edge devices, has emerged as a promising solution. While this approach enables the utilization of more powerful models, it faces significant challenges in harsh environments, where reliability, connectivity, and resilience are critical. This paper introduces failure-resilient inference in mobile networks (FRIM), a framework that ensures robust offloading and inference without the need for model retraining or reconstruction. FRIM leverages graph theory to optimize partition redundancy and incorporates an adaptive failure detection mechanism for mobile inference with efficient fault tolerance. Experimental results on DNN models (AlexNet, ResNet, VGG-16) show that FRIM improves inference performance and resilience, enabling more reliable mobile applications in harsh operating environments. Full article

Instability in the hole wall of bored pile may cause serious environmental problems. Therefore, using the small hole expansion theory and elastic–plastic theory, we studied the instability mechanism of the hole wall of bored pile, determined the stress expansion solution of the soil layer after the excavation of pile holes in the semi-infinite elastic soil layer, and established a mechanical model. Then, the stability of the hole wall of bored pile in the cohesive soil layer and sandy soil layer was analyzed, and a formula for calculating pile hole wall stability was obtained. Finally, the stability of the hole wall of bored pile under the action of mud slurry was calculated, and the stress on the pile hole wall was analyzed when local instability and overall instability occurred, respectively. The results show that in a sandy soil layer, the safety factor of the hole wall of bored pile has no connection with the depth of the pile hole but is related to the density of mud slurry in the pile hole. In unstable soil layers, the pile hole wall was prone to instability, and the stability of the hole wall could be improved by appropriately increasing the gravity of mud slurry. With the increase in pile diameter, the lateral displacement and deformation of the hole wall increase, and the displacement of the soil layer increases when the hole wall is unstable, increasing the possibility of forming variable cross-section piles correspondingly. Full article

Public mass shootings pose a critical safety challenge in the U.S. This study investigates how media framing relates to public online engagement, focusing on gun regulation, mental health, and individual and political accountability across five major TV networks: ABC, CNN, Fox News, MSNBC, and NBC. Using a mixed-methods approach, the research analyzes 678 news reports and 7605 audience comments. Findings reveal significant differences in audience engagement based on framing, and in key variables show audiences taking opposite positions to their news network’s narratives. ABC, CNN, and NBC’s thematic framing, highlighting systemic failures, elicits more balanced responses, whereas Fox News and MSNBC’s episodic framing, emphasizing individual or political accountability, correlates with polarized reactions. This research extends media framing theories by showing how episodic framing reduces support for systemic reforms, emphasizing personal responsibility. The study offers crucial insights for scholars, policymakers, and journalists on media’s role in shaping public discourse on gun violence. Full article

Online medical consultation has become a crucial channel for patients seeking health support. Based on data from a psychiatric department in a leading online medical consultation platform in China, this study examines two possible types of online self-presentation strategies (positive impression management strategy and blending-in impression management strategy) employed by doctors in three dimensions: informational management, affective management, and image management, and explores their impact on patient selection. Meanwhile, an information integration perspective was incorporated and the interaction effects between impression management strategies taken by doctors and patient reviews expressed by online patients are also explored. Results indicate that the information quantity (representing the informational management dimension) in doctors’ profiles has a negative impact on patient selection (β = −0.142, p < 0.01), while the positive emotion expression (representing affective management) (β = 0.423, p < 0.01) and profile photo (representing image management) (β = 1.098, p < 0.01) positively influence patient selection. Patient reviews related to expertise positively moderate the effect of information quantity in doctors’ introduction on patient selection (β = −0.632, p < 0.05). In contrast, patient reviews concerning attitude (β = −0.882, p < 0.01) and credibility (β = −0.488, p < 0.01) negatively moderate the effect of emotion expression and profile photos on patient selection, respectively. The findings extend the applicability of impression management theory, providing a novel perspective for comprehending the impact of doctors’ self-presentation on patient selection and its interaction effect with patient impressions. Full article

The Fourth Industrial Revolution has brought advanced technologies such as augmented reality (AR) and virtual reality (VR), transforming consumer behavior in retailing and arousing the interest of scholars in studying customer responses to these technologies in retail settings. However, owing to variations in specific contextual factors, the results of related research have been mixed, which impedes retailers’ capacity to gain a systematic understanding of the formulation of well-informed marketing decisions in the context of AR and VR retailing. To address these gaps, this systematic review synthesizes extant empirical evidence with 1099 effect sizes from 111 published studies with 136 datasets and 547,415 sample sizes. This study is based on well-established theories, including the technology acceptance model, the customer journey theory, and the unified theory of acceptance and use of technology, which are extended to create a more comprehensive framework that is adapted for the customer journey in AR and VR retailing. Our findings reveal significant and positive correlations for all the proposed constructs, including the experience; intrinsic, extrinsic, hedonic, and utilitarian factors; and customer experience, attitude, intention, and loyalty, and verify the significant moderating effects for technology and product types. From a management perspective, our findings provide a systematic understanding of enhancing retailers’ integrated sustainable marketing strategies in the context of AR and VR retail and propose a forward-looking research agenda. Full article

Background: Experiences of ostracism may be related to attitudes toward substance abuse. However, the protective factors underlying this relationship are still unclear. Therefore, based on the Need-threat and Self-control theory, we aimed to test a model in which self-control and hope mediate the relationship between ostracism and attitudes toward addictive substances. Methods: In this model, we highlighted risk factors (ostracism) and protective factors (self-control and hope). This study was a cross-sectional data analysis of 787 students (52.50% boys, 47.50% girls; M_age = 15.69, SD = 1.12). Results: The results revealed that ostracism was positively associated with attitudes toward addictive substances, and evidence was provided that this relationship was mediated by hope and self-control. Ultimately, the research highlights the link between ostracism and attitudes toward addictive substances, identifying hope and self-control as mediators. Conclusions: This study highlights individual risk and protective factors related to attitudes toward addictive substances and offers new perspectives on ways to prevent and reduce adolescents’ positive attitudes toward substance use. School counselors and educators should help students strengthen skills such as hope and self-control to prevent them from developing positive attitudes toward substance use in the future. Full article

The covariant Hamilton–Jacobi formulation of electrodynamics is systematically derived from the first-order (Palatini-like) Lagrangian. This derivation utilizes the De Donder–Weyl covariant Hamiltonian formalism with constraints incroporating generalized Dirac brackets of forms and the associated polysymplectic reduction, which ensure manifest covariance and consistency with the field dynamics. It is also demonstrated that the canonical Hamilton–Jacobi equation in variational derivatives and the Gauss law constraint are derived from the covariant De Donder–Weyl Hamilton–Jacobi formulation after space + time decomposition. Full article

This article investigates the problem of finite-time synchronization of fractional-order complex-valued random multi-layer networks without decomposing them into two real-valued systems. Firstly, by promoting real-valued signum functions, sign functions on the complex-valued domain are introduced. Simultaneously, quantization functions in the complex-valued domain are also introduced, and several related formulas for sign functions and quantization functions in complex-valued domain are established. Under the framework of the given sign function and quantization function, an adaptive quantized control scheme with or without deception attacks is designed. According to the finite-time theorem, Lyapunov function, and graph theory methods, some sufficient criteria for realizing finite-time synchronization in complex-valued fractional-order multi-layer networks have been obtained. Furthermore, the setting time of finite-time synchronization is effectively evaluated. Eventually, the reliability of our results and the practicality of control strategies are verified through numerical examples. Full article

This study proposes a risk analysis model based on the principles of ISO 31000 and decision theory for biological agents with potential for offensive use in Brazil. Bibliographic research was conducted on the main models already published on the subject. The German risk classification system was adopted as the main reference because it is adjustable and adopts a semiquantitative approach. After translating and adapting this model to the Brazilian context, the analytic hierarchy process (AHP) was applied to generate a hierarchical tree with criteria and subcriteria to be considered in the risk assessment. A questionnaire was administered to a group of experts to evaluate the relevant criteria and subcriteria and the risks related to three biological agents (Bacillus anthracis, Yersinia pestis, and Francisella tularensis), which were selected in an exploratory manner to exemplify the application of the model. According to the results, the criterion of impact of a biological attack was given greater importance when compared with the probability of occurrence of this event. According to the subcriteria, the greatest weight was attributed to human health when compared with agriculture, the environment, or the economy. Finally, in the evaluation of the three pathogens, B. anthracis was identified as having the highest risk for offensive use in Brazil. This research is focused on a practical approach and can be implemented by competent agencies to foster their capacity for biological defense by determining which pathogens represent the greatest risk to society. Full article

This study explores the nature and significance of a crucial form of global environmental expertise: that which relates to conducting global environmental assessments with the aim of influencing decision-making. Drawing on the theory of expertise, which conceptualizes expertise as a social position defined by epistemic practice, this study focuses on expertise in the context of global environmental challenges—particularly relating to climate change and the IPCC—highlighting the expertise required to address this kind of complex and multifaceted issue. This type of expertise allows for a synthesis of the current state of environmental challenges, the proposal of options for action, and communication of these findings to decision-makers and society at large. This expertise shapes knowledge that is much broader than a single disciplinary field, encompassing both ecological and social dynamics, and allows for the development of recommendations for action. This study finds that such expertise embodies a distinct epistemic practice with four key characteristics that distinguish it from more narrowly defined forms of expertise and introduces the term “mega-expertise” to capture the character and position of this kind of expertise. This study concludes by reflecting on the broader implications of this form of expertise, considering its relationship to more traditional, disciplinary scientific expertise. Full article

This paper investigates storylines from newcomers’ perspectives on their experiences of learning mathematics in an introductory mathematics classroom setting in Norway. We engaged in participatory research at a school over time. The data in this article come from observations and conversational interviews. Positioning theory guided our analysis in identifying storylines and related positionings. Our analysis provided us with the following four storylines: (1) newcomers find mathematics easy because they are also learning a new language; (2) newcomers experience tensions when learning mathematics in a new language; (3) newcomers find math teachers extra kind and find that they extend their help to them more than usual; (4) newcomers seek alternative resources for learning advanced mathematics. The identified storylines serve as a valuable resource to understand the newcomers’ wishes and desires for their mathematics education in a context of not yet knowing the language of instruction and educational culture. We recommend listening to newcomers’ perspectives of their experiences and recognizing the strengths they bring to the classroom to understand how they navigate their situation while learning mathematics in multilingual mathematics learning settings. Full article

Using the data of radon accumulation in a chamber with excess volume at one of the points of the Kamchatka subsurface gas-monitoring network, the change in radon flux density due to seismic waves and post-seismic relaxation of the medium is shown. A linear fractional equation is considered to be a model equation. The change of radon-transport intensity due to changes in the state of the geo-environment is described by a fractional Gerasimov–Caputo derivative of constant order. Presumably, the order of the fractional derivative is related to the radon-transport intensity in the geosphere. Using the Levenberg–Marquardt method, the optimal values of the model parameters were determined based on experimental data: air exchange coefficient and order of fractional derivative, which allowed the solving of the problems of radon flux density determination. Data in the temporal neighborhood of a strong earthquake with Mw=7.0, which occurred in the northern part of Avacha Bay on 17 August 2024, were used. As a result of the modeling, it is shown that the strong seismic impact and subsequent processes led to changes in the radon flux in the accumulation chamber. The obtained model curves agree well with the real data, and the obtained estimates of radon flux density agree with the theory. Full article

The COVID-19 pandemic placed significant strains on daily life, particularly affecting vulnerable groups such as rural-to-urban young migrant workers. Based on General Strain Theory (GST), these pandemic-related strains lead to delinquent copings, including excessive Internet use. However, the association between pandemic-related challenges faced by migrant youth and their digital copings has yet to be investigated. GST also posits that some conditioning factors, such as conventional beliefs, internal resilience and life satisfaction, might serve as protective factors, which can help to alleviate the disruptive consequences of the pandemic-related strains. Utilizing the fourth sweep of International Self-Report Delinquency Survey (ISRD4) in China comprising 769 working migrant adolescents aged 16 to 19, who did not attend high school, the present study examines variations in pandemic-related strains, frequent use of the Internet for gaming and social media, and their associations. In addition, this study investigates the moderating effect of three protective factors: conventional beliefs, internal resilience and life satisfaction. Results indicated that economic strain, information strain and health-related strain significantly influenced digital coping strategies, with notable gender differences. Conventional beliefs served as a significant moderator for males, while life satisfaction played a more significant moderating role for females. Relevant policy implications are then discussed. Full article

With the intensification of global population aging, attention to the emotional health of the elderly continues to grow. Traditional interior architectural design primarily focuses on optimizing physical functionality; however, this approach is no longer sufficient to meet the increasingly complex emotional needs of the elderly. Integrating the Three-Level Theory of Emotional Design (TTED) into interior design provides a significant opportunity to systematically address the multidimensional needs of the elderly. However, existing research is often fragmented and lacks thematic literature reviews to summarize the key factors, characteristics, and design strategy frameworks of interior design. This study aims to evaluate the impact of interior design on the emotional experiences of the elderly and to construct a conceptual framework to address current research gaps. By establishing rigorous selection criteria, 39 high-quality studies were identified from the Scopus, Web of Science, and Mendeley databases. Using ATLAS.ti 9 for thematic analysis, five core themes were distilled: aesthetics, use and function, emotional reflection, design strategies, and emotional experience. The findings revealed that architectural interior design practices often paid limited attention to the emotional needs of older adults. Through a comprehensive literature review, 10 key design features were identified, including multi-sensory attributes, morphological characteristics, cultural elements, and natural components, alongside 17 related research directions. The study introduces a dynamic feedback mechanism within the framework of the proposed architectural interior design strategy, highlighting the importance of employing multiple strategies that balance and complement each other in practical applications. Additionally, the study clarifies future research directions, offering theoretical support and practical guidance for designers to address the complex needs of the elderly. This achievement provides a systematic reference for the future development of interior architectural design and has significant implications for improving the emotional experience of the elderly. Full article

This article uses the surge of recent AI-generated simulations of Kafka’s writing as an opportunity to reflect upon both what AI can teach us about Kafka’s writing and what Kafka’s writing can teach us about the age of artificial intelligence. Under the heading “Kafkaesque Algorithms”, this article explores three distinct but related questions that emerge at the intersection of stylistics, poetics, and media theory. First, do AI simulations of Kafka’s writing adequately capture Kafka’s style, and if not, why not? Second, is there perhaps something inherently algorithmic about Kafka’s poetics, in ways that might both tempt and resist simulation by AI? And third, is the notion of outsourcing low-level repetitive labor to machines—a common promotional strategy for contemporary AI writing aids—truly novel, or would it instead have already been familiar to Kafka himself? Full article