Search Results (131)

Background: Artificial intelligence (AI) is being increasingly promoted as a means to enhance diagnostic accuracy, to streamline workflows, and to improve overall care quality in primary care. However, empirical evidence on how primary care physicians (PCPs) perceive, engage with, and emotionally respond to AI technologies in everyday clinical settings remains limited. Concerns persist regarding AI’s usability, transparency, and potential impact on professional identity, workload, and the physician–patient relationship. Methods: This qualitative study investigated the lived experiences and perceptions of 28 PCPs practicing in diverse outpatient settings across Germany. Participants were purposively sampled to ensure variation in age, practice characteristics, and digital proficiency. Data were collected through in-depth, semi-structured interviews, which were audio-recorded, transcribed verbatim, and subjected to rigorous thematic analysis employing Mayring’s qualitative content analysis framework. Results: Participants demonstrated a fundamentally ambivalent stance toward AI integration in primary care. Perceived advantages included enhanced diagnostic support, relief from administrative burdens, and facilitation of preventive care. Conversely, physicians reported concerns about workflow disruption due to excessive system prompts, lack of algorithmic transparency, increased cognitive and emotional strain, and perceived threats to clinical autonomy and accountability. The implications for the physician–patient relationship were seen as double-edged: while some believed AI could foster trust through transparent use, others feared depersonalization of care. Crucial prerequisites for successful implementation included transparent and explainable systems, structured training opportunities, clinician involvement in design processes, and seamless integration into clinical routines. Conclusions: Primary care physicians’ engagement with AI is marked by cautious optimism, shaped by both perceived utility and significant concerns. Effective and ethically sound implementation requires co-design approaches that embed clinical expertise, ensure algorithmic transparency, and align AI applications with the realities of primary care workflows. Moreover, foundational AI literacy should be incorporated into undergraduate health professional curricula to equip future clinicians with the competencies necessary for responsible and confident use. These strategies are essential to safeguard professional integrity, support clinician well-being, and maintain the humanistic core of primary care. Full article

Sound event localization and detection (SELD) is a fundamental task in spatial audio processing that involves identifying both the type and location of sound events in acoustic scenes. Current SELD models often struggle with low signal-to-noise ratios (SNRs) and high reverberation. This article addresses SELD by reformulating direction of arrival (DOA) estimation as a multi-class classification task, leveraging deep convolutional recurrent neural networks (CRNNs). We propose and evaluate two modified architectures: M-DOAnet, an optimized version of DOAnet for localization and tracking, and M-SELDnet, a modified version of SELDnet, which has been designed for joint SELD. Both modified models were rigorously evaluated on the STARSS23 dataset, which comprises 13-class, real-world indoor scenes totaling over 7 h of audio, using spectrograms and acoustic intensity maps from first-order Ambisonics (FOA) signals. M-DOAnet achieved exceptional localization (6.00° DOA error, 72.8% F1-score) and perfect tracking (100% MOTA with zero identity switches). It also demonstrated high computational efficiency, training in 4.5 h (164 s/epoch). In contrast, M-SELDnet delivered strong overall SELD performance (0.32 rad DOA error, 0.75 F1-score, 0.38 error rate, 0.20 SELD score), but with significantly higher resource demands, training in 45 h (1620 s/epoch). Our findings underscore a clear trade-off between model specialization and multifunctionality, providing practical insights for designing SELD systems in real-time and computationally constrained environments. Full article

The nonlocal macro–meso-scale damage (NMMD) model, implemented in the framework of the finite element method, has been demonstrated to be a promising numerical approach in simulating crack initiation and propagation with reliable efficacy and high accuracy. In this study, the NMMD model was further enhanced by employing an identical degradation mechanism for both the tensile and shear components of shear stiffness, thereby overcoming the limitation of equal degradation in shear and tensile stiffness inherent in the original model. Additionally, a more refined and physically sound seepage evolution function was introduced to characterize the variation in permeability in porous media with geometric damage, leading to the development of an improved NMMD model suitable for simulating coupled seepage–stress problems. The reliability of the enhanced NMMD model was verified by the semi-analytical solutions of the classical KGD problem. Finally, based on the modified NMMD model, the effects of preset fracture spacing and natural voids on hydraulic fracture propagation were investigated. Full article

This paper presents field experiments of mineral deposition on steel, induced by cathodic polarization in natural seawater, as a sustainable strategy for the life extension of marine steel structures. Although this approach is quite well known, the ability of the mineral deposit to both protect steel from corrosion in the absence of a cathodic current, thus operating as an inorganic coating, and provide an effective substrate for colonization by microorganisms still needs to be fully explained. To this end, two identical steel structure prototypes were installed at a depth of 20 m: one was submitted to cathodic polarization, while the other was left under free corrosion for comparison. After 6 months, the current supplied to the electrified structure was interrupted. A multidisciplinary approach was used to analyze the deposits on steel round bars installed in the prototypes over time, in the presence and in the absence of a cathodic current. Different investigation techniques were employed to provide the following information on the deposit: the composition in terms of elements, compounds and macro-biofouling; the morphology; the thickness and the degree of protection estimated by electrochemical impedance spectroscopy (EIS). The results showed that under cathodic polarization, the thickness of the deposit increased to 2.5 mm and then remained almost constant after the current was interrupted. Conversely, the surface impedance decreased from 3 kΩ cm² to about 1.5 kΩ cm² at the same time, and the aragonite–brucite ratio also decreased. This indicates a deterioration in the protection performance and soundness of the deposit, respectively. Considering the trends in thickness and impedance together, it can be concluded that the preformed mineral deposit does not undergo generalized deterioration after current interruption, which would result in a reduction in thickness, but rather localized degradation. This phenomenon was attributed to the burrowing action of marine organisms, which created porosities and/or capillary pathways through the deposit. Therefore, the corrosion protection offered by the mineral deposit without a cathodic current is insufficient because it loses its protective properties. However, the necessary current can be quite limited in the presence of the deposit, which in any case provides a suitable substrate for sustaining the colonization and growth of sessile marine organisms, thus promoting biodiversity. Full article

This study develops and provides psychometric validity of a new multidimensional measure of connection to nature (CTN)—the DEEP Connection to Nature Scale. Addressing limitations of existing scales, the new scale attempts to emphasize self-integration with nature while capturing the three commonly accepted aspects of connection to nature—Cognitive, Emotional, and Behavioral. Using both exploratory and confirmatory factor analyses across a sample of 1152 and 657 adults, respectively, a four-factor structure was validated: Depth of identity, Emotional connection, Experiential connection, and Presence within nature. The scale demonstrated good internal consistency, convergent validity with existing CTN measures, and predictive validity for pro-environmental behavior (PEB). Notably, the DEEP CTN Scale explained more variance in PEB (30%) compared to two widely used unidimensional measures. Specifically, people who are high Emotional connection and high Presence within nature report more PEB. These relationships remain robust when controlling for relevant covariates. As a point of comparison, predictive validity was conducted with a composite score of psychological well-being. People who are high in Presence within nature and low in Emotional connection report higher well-being. In sum, the DEEP CTN scale is a psychometrically sound, theory-driven measure that addresses key limitations of previous scales. As such, we hope it offers researchers and practitioners a tool to better understand and cultivate meaningful connections with nature. Full article

This article presents an in-depth examination of the technical and cultural dimensions of singing practices within the traditional music of sub-Saharan Africa. Utilizing an extensive body of theoretical and ethnomusicological research, comparative transcription, and culturally situated observation, it presents a comprehensive framework for understanding the significance of the human voice in various performance contexts. The study revolves around a tripartite model—auditory clarity, ambiguous auditory clarity, and occlusion—that delineates the varying levels of audibility of vocal lines amidst intricate instrumental arrangements. The article examines case studies from West, East, and Southern Africa, highlighting essential vocal techniques such as straight tone, nasal resonance, ululation, and controlled (or delayed) vibrato. It underscores the complex interplay between language, melody, and rhythm in tonal languages. The analysis delves into the influence of sound reinforcement technologies on vocal presence and cultural authenticity, positing that PA systems have the capacity to either enhance or disrupt the equilibrium between traditional aesthetics and modern requirements. This research is firmly rooted in a blend of African and Western theoretical frameworks, drawing upon the contributions of Nketia, Agawu, Chernoff, and Kubik. It proposes a nuanced methodology that integrates technical analysis with cultural significance. It posits that singing in African traditional music transcends mere expression, serving as a vessel for collective memory, identity, and the socio-musical framework. The article concludes by emphasizing the enduring strength and flexibility of African vocal traditions, illustrating their capacity for evolution while preserving fundamental communicative and artistic values. Full article

This paper explores how sound design in the Harry Potter film series shapes the symbolic significance of written words within the magical world. Sound mediates between language and meaning; while characters gain knowledge by reading and seeing, viewers are guided emotionally and thematically by how these written texts are framed through sound. For example, Harry’s magical identity is signalled to viewers through the score long before he fully understands himself—first through music when he speaks to a snake, then more explicitly when he receives his letter from Hogwarts. Throughout the series, characters engage with a wide array of written media—textbooks, letters, newspapers, diaries, maps, and inscriptions—that gradually shift in narrative function, from static props to dynamic, multi-sensory agents of transformation. Using a close analysis of selected scenes to examine layers of utterances, diegetic sounds, underscore, and sound design, this study draws on metaphor theory and adaptation theory to examine how sound design gives writing a metaphorical voice, sometimes framing it as character, landscape, or moral authority. As the series progresses, becoming more autonomous from the literary source, written words take on greater symbolic significance, and sound increasingly determines which texts are granted narrative power, whose voices are trusted, and how viewers interpret truth and agency across media. Ultimately, written words in the films are animated through sound into agents of growth, memory, resistance, and transformation. Thus, the audio-visual treatment of written magic reveals not just what is written, but what matters. Full article

In this study, the limits of using the impedance tube, or Kundt tube, are examined using the two-microphone method to obtain the normal acoustic absorption coefficient when analyzing the sound absorption properties of lightweight acoustic fabrics. Lightweight porous fabrics with 3D microstructures that have been previously evaluated in reverberation chambers are used. For these materials, a test methodology will be developed in the impedance tube that aims to replicate the conditions of the tests carried out in the reverberation chamber. The samples are tested maintaining the same separation from the final rigid wall and are placed in the impedance tube in two different ways: first, exposing the flat samples to the wave, and second, in pleated format. The results show that it is not possible to consider the results obtained with both methodologies in samples of light textiles with three-dimensional microstructures to be the same. The similarity is limited to low frequencies (100–315 Hz) but bias, excessive dispersion of the data, different global results and shape indicators obtained suggest that both methods are not identical. Full article

This article deals with teachers’ professional development, focusing specifically on their competencies to assess learning. Research in this field has shown a lack of instruments for measuring such competencies in practicing teachers. In this context, we present the validation process of such an instrument, called Classroom Evaluative Judgment, which is designed to assess teachers’ competencies in evaluating their students’ school work. We adopt a quantitative approach, with a non-experimental and sequential design. First, the instrument was subjected to content validation through expert judgment. Subsequently, a pilot test was carried out with an unintentional sample, applying statistical reliability analysis and confirmatory factor analysis to ensure the internal consistency of the instrument with respect to its theoretical basis. Finally, we validated the instrument with 266 participants, obtaining high levels of internal consistency and statistical reliability. The results support the soundness of the proposed model and its usefulness for measuring professional teaching competencies in the field of learning assessment. Its application in real contexts of professional practice could open new lines of research on the evaluative judgment of teachers and the strengthening of their evaluative identity. Full article

It is well known that a listener’s native phonological background has an impact on how speech sounds are perceived. Native speakers can distinguish sounds that serve a contrastive function in their language better than sounds that are not contrastive. However, the role of allophony in speech perception is understudied, especially among heritage speakers. This paper highlights a study that directly tests the influence of the allophonic/phonemic distinction on perception by Spanish heritage speakers, comparing their results to those of late bilingual and monolingual speakers of Spanish and English in the US. Building on an earlier study, the unique contribution of this paper is a study of the perceptual pattern shown by heritage speakers of Spanish and a comparison of bilingual and monolingual speakers of English and Spanish. The participants completed a similarity rating task with stimuli containing VCV sequences with the intervocalic consonants [d], [ð], and [ɾ]. The heritage speakers, who are early sequential bilinguals of Spanish and English, showed a perceptual pattern that is more like monolingual Spanish listeners than monolingual English listeners, but still intermediate between the two monolingual groups. Specifically, they perceived [d]/[ɾ] like the L1 Spanish participants, treating them as very different sounds. They perceived the pair [d]/[ð], which is contrastive in English but allophonic in Spanish, like the L1 Spanish participants, as fairly similar sounds. Finally, heritage speakers perceived [ɾ]/[ð], contrastive in both languages, as very different sounds, identical to all other participant groups. The results underscore both the importance of surface oppositions, suggesting the need to reconsider the traditional definition of contrast, as well as the importance of considering level and age of exposure to the second language when studying the perception of sounds by bilingual speakers. Full article

The U.S. Federal STEM Strategic Plan released in 2018 charged federal agencies to operate with transparency and accountability regarding the impact of STEM programming on participant outcomes. This study’s purpose is to share a robust and iterative design-based research validation study for a middle school (U.S. grades 6–8; ages 11–14 years old) Student STEM Outcomes Survey. Our team partnered with NASA to develop an instrument to study the impact of participation in NASA Office of STEM Education’s (OSTEM) engagement programming on middle school student affective outcomes. Overall, this study produced strong validity evidence for each construct (STEM Identity, STEM Self-Efficacy, STEM Interest, 21st century skills) of the Student STEM Outcomes Survey. Qualitative field testing results from subject matter experts and middle grade students related to content, response processes, and consequences of testing validity evidence provided support for data-informed item wording modifications. Rasch psychometric results assisted in meaningfully paring back items to ultimately result in parsimonious and psychometrically sound survey sections based on internal structure and response processes findings. Suggestions for using the newly developed and validated Student STEM Outcomes Survey are provided. Full article

Thermally driven local-scale precipitation (LSP) is an important type of summer precipitation over China, but the prestorm environmental conditions remain unclear. In order to investigate the major factors controlling the LSP intensity, the meteorological parameters preceding the occurrence of light and heavy afternoon LSP over Eastern China during 2018–2022 are examined using rain gauge, radiosonde sounding, and satellite observations. The temperature differences between heavy and light LSP events are relatively small, but heavy LSP events exhibit larger water vapor mixing ratios (Q_v) below a 5 km altitude than light LSP. With an almost identical vertical temperature distribution, an increment in Q_v increases the relative humidity (RH) in the lower troposphere. Furthermore, large eddy simulations with spectral bin microphysics are performed to investigate the impacts of humidity and aerosols on the LSP intensity. Increased low-level RH leads to larger mass concentrations of rain and graupel at the expense of cloud droplets due to enhanced drop collisions and the riming of ice particles, respectively, thereby reinforcing the LSP. However, an increased aerosol concentration leads to more cloud water but reduced rain water content, resulting mainly from suppressed drop collisions. The graupel mixing ratio exhibits a non-monotonic trend with aerosols, mostly contributed by riming. As a result, the LSP intensity first increases and then decreases with an increment in the aerosol concentration in both dry and humid air. Moreover, more aerosols lead to the humidification of the surrounding air due to the enhanced evaporation of cloud droplets, particularly under lower-RH conditions. These findings provide an enhanced understanding of the effects of covariations in humidity and aerosol concentrations on the afternoon LSP intensity over Eastern China. Full article

Based on the narrative perspective, this paper studies the spatial characteristics and cultural significance of the Shike Ancestral Hall in En Village, Guangdong, as a sacred building. By drawing on Lefebvre’s theory of spatial production, the physical space, cultural value, and community sentiment of the Shike Ancestral Hall are linked to explore its role in the sense of place, clan memory, and cultural identity. The study found that the combination of perceived, conceived, and lived space gives the Shike Ancestral Hall profound social, cultural, and religious significance. The ancestral hall is not only a material existence but also a vital link to maintain the emotional and cultural identity among clan members. Through the multi-sensory experience of the building, including light, sound, touch, and smell, the unique atmosphere of the sacred space is revealed, further deepening the need for sustainable development and protection of cultural heritage. Full article

This paper explores the possibility of counteracting the crisis of culture and institutions by investing in the identity values of the user-actor within digital spaces built for the purpose. The strategy is applied to the analysis of three Catalan cloisters (Spain), with a focus on the representation of the cloister of Sant Cugat (Barcelona). Heuristic picklocks are found in the semantic richness proposed by Marius Schneider exclusively on the verbal level. The authors interpret the contents and transcribe them into graphic signs and digital denotations of sounds and colors. They organize proprietary ontologies, or syntagmatic lines, to be entrusted to the management of computer algorithms. The syncretic culture that characterized the medieval era allowed the ability to mediate science and faith to be entrusted to the mind of the praying monk alone in every canonical hour. The hypothesis that a careful direction has programmed the ways in which to orient souls to “navigate by sight” urges the authors to find the criteria that advanced statistics imitates to make automatic data processing “Intelligent”. In step with the times and in line with the most recent directions for the Safeguarding of Heritage, the musical, astral, and narrative rhythms feared by Schneider are used to inform representative models, to increase not only the visual perception of the user (XR Extended Reality) but also to solicit new analogies and illuminating associations. The results return a vision of the culture of the time suitable for shortening the distances between present and past, attracting the visitor and, with him, the resources necessary to protect and enhance the spaces of the Romanesque era. The methodology goes beyond the contingent aspect by encouraging the ‘remediation’ of contents with the help of machine learning. Full article

Cloud-to-Vehicle (C2V) integration serves as a fundamental infrastructure to provide robust computing and storage support for Vehicular Social Networks (VSNs). However, the proliferation of sensitive personal data within VSNs poses significant challenges in achieving secure and efficient data sharing while maintaining data usability and precise retrieval capabilities. Although existing searchable attribute-based encryption schemes offer the secure retrieval of encrypted data and fine-grained access control mechanisms, these schemes still exhibit limitations in terms of bilateral access control, dynamic index updates, and search result verification. This study presents a Dual-Policy Attribute-based Searchable Encryption (DP-ABSE) scheme with dynamic keyword update functionality for VSNs. The scheme implements a fine-grained decoupling mechanism that decomposes data attributes into two distinct components: immutable attribute names and mutable attribute values. This decomposition transfers the attribute verification process from data owners to the encrypted files themselves, enabling data attribute-level granularity in access control. Through the integration of an identity-based authentication mechanism derived from the data owner’s unique identifier and bilinear pairing verification, it achieves secure updates of the specified keywords index while preserving both the anonymity of the non-updated data and the confidentiality of the message content. The encryption process employs an offline/online two-phase design, allowing data owners to pre-compute ciphertext pools for efficient real-time encryption. Subsequently, the decryption process introduces an outsourcing local-phase mechanism, leveraging key encapsulation technology for secure attribute computation outsourcing, thereby reducing the terminal computational load. To enhance security at the terminal decryption stage, the scheme incorporates a security verification module based on retrieval keyword and ciphertext correlation validation, preventing replacement attacks and ensuring data integrity. Security analysis under standard assumptions confirms the theoretical soundness of the proposed solution, and extensive performance evaluations showcase its effectiveness. Full article