Search Results (1,185)

Background/Objectives: The use of personal smartphones by healthcare professionals in clinical settings has become a growing area of concern as practice may not consistently align with policy guidance. This study enhances our understanding of how and why medical residents are using smartphones to communicate patient healthcare information with other physicians in daily practice and provides insights into the role that institutional governance, policies, and structures play in the use of smartphones. Methods: This study used qualitative techniques to examine medical residents’ use of smartphones to communicate healthcare-related information with colleagues. Additionally, a neo-institutional theory lens was applied to assess the role that regulative (guidelines/policies), normative (what peers/staff are doing), and cultural-cognitive (beliefs/perceptions) factors play in smartphone use by medical residents. Results: The results suggest that behaviour related to smartphone use is based primarily on normative and cultural-cognitive factors rather than regulative factors. Regulative elements around smartphone use play a smaller role in shaping behaviour, particularly when they: (1) lack clarity; (2) are not seen as credible/legitimate; or (3) are viewed as cumbersome and do not align with workflow needs. Conclusions: The implementation of future guidelines/policies should consider the use of mentorships throughout postgraduate medical training whereby staff physicians educate, model, and promote behaviour in accordance with the associated policies/guidelines. Full article

Background: Nursing student experiences in the clinical learning environment have been described in many countries but less is known about student nurses in rural settings. Aim: To explore undergraduate nursing students’ experience of clinical placement in a rural setting and identify factors that influence their experience. Methods: A cross-sectional observational study was conducted with a convenience sample of 170 undergraduate nursing students in regional Victoria, Australia, who completed professional experience placements between January and June 2020. Following their placements, participants completed the Clinical Learning Environment, Supervision and Nurse Teacher (CLES+T) scale. Data were analysed using logistic regression models. Results: Completing clinical placements in medium to small rural towns or remote and very remote communities were associated with increased odds of high scores in the learning environment [odds ratio (OR) 2.90, 95% CI, 1.32 to 6.37; P = 0.01] and the supervisory relationship domains (OR 3.16, 95% CI, 1.40 to 7.14; P = 0.01). Female gender (OR 3.38, 95% CI, 1.12 to 10.19; P = 0.03), supervision by staff other than an educator (OR 2.71, 95% CI, 1.16 to 6.33; P = 0.02) and increased frequency of ad hoc (extra) supervision with a buddy nurse without the nurse educator (OR 2.55, 95% CI, 1.07 to 4.75; P = 0.03) were associated with increased odds of high scores in the role of nurse educator domain. Conclusions: In this study, nursing students reported valuing their exposure to smaller and more remote communities, the learning environments within rural and remote healthcare facilities, and the relationships they developed with supervising nurses. The findings also suggest that some students perceived greater value in supervision provided by clinical staff who were not in formal nurse educator or nurse facilitator roles. Given the limitations of the study, these observations should be interpreted cautiously and may warrant further investigation in broader contexts. Full article

We introduce a class of specular and antispecular radially polarized partially coherent twisted beams by using a wavefront-folding interferometer and then investigate the propagation of such beams blocked by an opaque obstacle. One sees that these optical fields exhibit sharp internal spectral density with a central peak in the specular case and a central dip in the antispecular case. It is also seen that both the spectral density and the polarization feature present a good twist effect and a tendency to self-heal upon propagation. However, unlike the spectral density that can recover its profile perfectly, the self-healing ability of both the degree of polarization and the generalized Stokes parameters is only partial and not complete. While a smaller value of the twist factor enhances the self-healing performance of the beam field, it slows the beam’s rotation and degrades the degree of polarization. Moreover, the polarization distribution in the central area is mainly determined by the phase difference of the interferometer. The results of our work have important applications in the fields of free-space beam communication and particle trapping. Full article

Owing to topographical constraints, rural domestic sewage management in karst areas faces unique challenges (scattered pollution sources, fragile hydrogeology, and inadequate infrastructure), but research on decentralized treatment technologies and their microbial mechanisms in this area remains scarce. This study aimed to evaluate the efficiency of a physicobiological process (pre-treatment + BAF) for decentralized rural sewage treatment in karst areas and clarify the relationship between microbial community composition and treatment efficiency under different scales. Annual analyses of influent/effluent pollutants and 16S rRNA gene sequencing were conducted for BAF systems of varying scales. The average removal rates of COD, TN, NH₃-N, and TP were 65.35–79.25%, 32.09–66.66%, 49.50–75.42%, and 44.92–67.69%, respectively. Treatment efficiency varied significantly with scale, being higher in larger systems (p < 0.001). All scales shared a core microbial community (dominated by Proteobacteria, Bacteroidetes, and Chlorobi), but the relative abundance of core taxa decreased with decreasing scale. Nitrification and denitrification were positively associated with NH₃-N and TN removal, respectively. Smaller treatment units were more prone to miscellaneous bacteria proliferation, potentially reducing treatment stability. This study fills the research gap of decentralized BAF application in rural karst areas and provides a scientific basis for the scale optimization of rural wastewater treatment facilities. Full article

Ayu (Plecoglossus altivelis) is an East Asian amphidromous river fish, yet seasonal microbiota dynamics remain unclear. We investigated ayu in the Dajing Stream (Zhejiang Province, China) by synchronously sampling water microbiota (H), gut content microbiota (N), and gut tissue-associated microbiota (C) across four seasons. Each season, four fish were collected, and an overlapping pooling strategy (abc/abd/bcd) generated three composite replicates for C and N (n = 3 composites/season); water was collected as three field replicates (n = 3/season), yielding 36 samples (12 per niche). Using 16S rRNA amplicon sequencing and COI barcoding of stomach contents, we observed the clearest seasonal differentiation in H and seasonal variation in N consistent with diet shifts, whereas C was comparatively stable. COI signals indicated a diet dominated by aquatic insects in spring/summer, which shifted toward smaller prey (e.g., rotifers) in winter. Together, these results highlight strong niche partitioning and season-linked shifts in water and gut content communities relative to the more stable tissue-associated microbiota. These findings should be interpreted as exploratory and require validation in larger individual-level studies. Full article

Plant diversity plays a fundamental role in ecosystem functioning and is essential for sustaining ecosystem services. National forest inventories are key instruments for assessing floristic diversity. However, their measurement protocols may introduce bias by omitting smaller individuals because of the stem diameter criterion used or the minimum plant size threshold applied. Such bias is exacerbated in dryland ecosystems where small-statured plants with low-branching stems are particularly abundant. In this study, we evaluated the effects of using basal diameter (BD) instead of diameter at breast height, and of sampling small individuals (BD ≥ 2.5 cm), on the estimation of abundance, alpha and gamma diversity and community composition in different vegetation types in NW Mexico. We found substantial underestimation due to the omission of smaller individuals in xeric shrubland and tropical dry forest, where gamma diversity may be underestimated by up to 209% and 139%, respectively. Broadleaf forest also showed strong underestimation (133%), whereas mixed conifer–broadleaf forests were unaffected. We discuss these differential effects and propose a methodology to attenuate this underestimation and achieve more accurate floristic diversity estimates from national forest inventories in dryland vegetation, which encompasses roughly one-third of the Earth’s surface and more than half of Mexico’s territory. Full article

Visible light communication (VLC)-based Li-Fi systems suffer from limitations in transmission capacity expansion due to the restricted modulation bandwidth of LEDs. In this study, a latent representation-based NRZ-OOK Li-Fi transmission framework that exploits the statistical feature distribution of the latent space is proposed to improve transmission efficiency without expanding the physical bandwidth. An autoencoder is employed to transform input images into low-dimensional latent vectors, which are then quantized and modulated for transmission. At the receiver, hard decision and inverse quantization are performed, and the image is reconstructed through a trained decoder by leveraging the distribution characteristics of the latent representation. The effective transmission capacity gain $G_{\mathrm{c}\mathrm{a}\mathrm{p}}$ is defined to quantify the amount of representable information relative to the original data under the same physical link resources according to the latent dimension, achieving up to a 49-fold data representation efficiency. The experimental results over practical optical links (0.5–1.5 m) showed that, in short-range conditions, larger latent dimensions maintained higher reconstruction PSNR, whereas under channel degradation conditions, smaller latent dimensions exhibited higher robustness, demonstrating a performance inversion phenomenon. Furthermore, it was confirmed that the dominant factor governing reconstruction performance shifts from the representational capability of the data to error accumulation characteristics depending on the channel condition. These results suggest that the latent representation-based transmission framework is an effective Li-Fi strategy that can simultaneously consider transmission efficiency and channel robustness through information representation optimization in bandwidth-limited environments. Full article

This study investigates European citizens’ perspectives on farmers’ roles, highlighting gender, age, education, political orientation, community size, social class, and attitudes towards the EU. This study was developed using 21,002 interviews with European Citizens from all 27 EU countries. A quantitative data analysis methodology was used from the European Eurobarometer 97.1 survey. Seven models were formulated and tested. It is shown that men prioritise economic growth and food stability, while women emphasise environmental protection and animal welfare. Younger individuals focus on rural job creation, whereas older citizens value food security. Higher education levels correlate with environmental and animal welfare concerns. Right-leaning citizens favour economic development, whereas left-leaning individuals prioritise ecological issues. Larger communities emphasise economic growth, while smaller ones focus on environmental preservation. Social class influences priorities, with higher classes concerned about sustainability and lower classes about job creation. Pessimistic views about the EU correlate with food safety concerns, while optimistic views align with environmental and animal welfare priorities. These findings suggest that aligning agricultural and food policies with citizens’ diverse needs can foster a more sustainable and resilient European food system. Full article

The global expansion of tree plantations has led to extensive fragmentation of natural forests, posing significant challenges for biodiversity conservation. Understanding the diversity patterns and underlying mechanisms of ground-dwelling insects in these fragmented landscapes is critical to inform effective conservation strategies. To address this, we sampled ground-dwelling insects using pitfall traps across nine remnant natural forest fragments (“islands”) embedded within a tree plantation matrix in Guangxi, China. We examined insect family-level diversity and community composition in relation to fragment isolation (low vs. high) and size (large vs. small) and explored the mechanisms driving the observed patterns. Our results revealed no significant difference in ground-dwelling insect diversity between low-isolation and high-isolation fragments. However, diversity was significantly lower in smaller fragments compared to larger ones. This reduction was primarily driven by decreased seedling density within smaller fragments, directly reflecting the adverse effects of plantation-driven fragmentation on native seedling establishment. Furthermore, we observed noble shifts in community composition of ground-dwelling insects along both fragment isolation and size gradients. Highly isolated fragments exhibited a decline in phytophagous insects and omnivores (with detritivore-herbivore diets), but an increase in detritivores. Smaller fragments exhibited consistent declines across multiple insect taxa spanning various dietary guilds. The observed changes in ground-dwelling insect composition were driven by shifts in plant (especially seedling) community composition. Our findings reveal a clear cascading effect: plantation-driven fragmentation limits native plant regeneration, and these limitations subsequently propagate to higher trophic levels, profoundly impacting ground-dwelling insects. Effective restoration of plantation-fragmented landscapes requires strategies that both prioritize the preservation of large, continuous forest fragments and promote native seedling recruitment within existing fragments. Full article

Quantum dense coding is a foundational protocol in quantum communication, allowing two classical bits to be transmitted by sending a single qubit when a maximally entangled pair is shared. In this work, we consider Embedded Dense Coding (EDC)—a generalization of deterministic dense coding that embeds one subsystem into a higher-dimensional Hilbert space. To assess the operational advantage of EDC compared to standard dense coding, we consider the probability of transmission error when fixing the rate of entanglement consumed per classical message sent. We first demonstrate that EDC enables a smaller one-shot transmission error compared to standard dense coding when using quantum channels with nonzero rates of dephasing and loss. We then demonstrate that even with noiseless communication channels, EDC leads to smaller overall errors when the sender and receiver have noisy local processors. This advantage is shown through concrete implementations of EDC on IBM’s Heron processor. Full article

In today’s world, electronics and networked systems, such as IoT devices, embedded platforms and smart environments, are increasingly popular and widespread. As a result, these systems become more exposed to cyber threats. The malicious URL is also one of the most widespread yet perilous vectors of cyberattack, as it is widely used in phishing, malware distribution, and command-and-control communication. The security of these electronic systems necessitates real-time, lightweight and intelligent detection techniques that must be efficient in resource-constrained environments. In order to meet this requirement, we propose SwiftURL, a lightweight deep learning model to detect malicious URLs that can be specifically deployed in modern electronic environments. SwiftURL leverages knowledge distillation from a transformer-based ELECTRA-Small teacher model, transferring detection capability into a smaller and faster student model while maintaining high performance. Experimental results on a public Kaggle dataset of malicious URLs demonstrate that SwiftURL achieves an accuracy of 94.38%, reduces computational overhead by 35%, and accelerates training time by 15%. These findings highlight SwiftURL’s effectiveness as a practical solution for enhancing cybersecurity in electronic and networked systems through efficient, on-device URL threat detection. Full article

Background/Objectives: Speech-evoked brain potentials provide a window into the neural encoding of speech, experience-dependent plasticity, and deficits in central auditory processing from communication disorders. Stronger and faster frequency-following responses (FFRs) and cortical event-related potentials (ERPs) have been interpreted as reflecting more robust and efficient auditory–sensory processing across brainstem and cortical levels. Importantly, these neural signatures relate to real-world listening skills like speech-in-noise (SIN) perception. How functional FFR/ERPs relate to the underlying anatomical structures that generate these responses in brainstem and cortex is unknown. Methods: Using a multimodal imaging approach, we recorded FFRs and ERPs to clean and noise-degraded speech sounds to assess the strength of listeners’ neural encoding of speech at brainstem (FFR) and cortical (ERP) levels. MRI volumetrics of midbrain and transverse temporal gyrus (Heschl’s gyrus) quantified morphological variation in subcortical and cortical anatomy that underly these EEG potentials. We used the QuickSIN to assess behavioral SIN abilities. Results: We found larger and thicker right (but not left) Heschl’s gyrus was related to listeners’ SIN perception as well as the size of their cortical ERPs. Structural and functional measures interacted at a subcortical level. For listeners with smaller midbrain volumes, larger speech FFRs were associated with better QuickSIN scores, whereas in individuals with larger midbrain volumes, larger FFRs were related to poorer QuickSIN scores. Conclusions: Our findings reveal common functional signatures of speech sound processing (FFRs, ERPs) are related to the anatomy of their underlying generator sources and suggest that both auditory brain structure and function can account for perceptual SIN capacity. Full article

Ash dieback, caused by the fungus Hymenoscyphus fraxineus, continues to threaten European ash (Fraxinus excelsior), yet the contribution of the leaf microbiome to disease severity remains poorly understood. We surveyed 133 ash trees across nine sites in Northern Ireland, using canopy cover as a proxy for health, and characterised leaf-associated microbial communities using Pacific Biosciences (PacBio) long-read amplicon sequencing (full-length 16S and ITS) and QIIME2-based workflows. Many trees exhibited partial tolerance to ash dieback, with most maintaining stable canopy cover year-on-year, while fewer trees show a decline and a smaller portion showing improvement. Microbial communities were largely stable irrespective of ash health with little difference in alpha diversity (Shannon) or beta diversity (Bray–Curtis PERMANOVA) for either bacteria or fungi. Differential abundance and correlation analyses showed that H. fraxineus was, as expected, negatively associated with canopy cover. Only one fungal species, Papiliotrema flavescens, demonstrated a strong positive association with healthier trees, consistent with previous findings. These results indicate that Northern Ireland hosts a reservoir of ash trees displaying tolerance to ash dieback. While the leaf microbiome does not appear to drive this tolerance at the community level, one fungus, P. flavescens, was correlated with healthier ash. Full article

Mediterranean temporary streams are characterized by high hydrological variability that climate change is expected to intensify, increasing drought frequency and severity. These conditions represent a major threat to freshwater mussels, an imperiled group with limited mobility and strict habitat and host requirements. This study explored key factors shaping freshwater mussel community structure, including the spatial distribution, species composition and abundance of coexisting species, in two temporary streams of the Guadiana river basin (southwestern Iberian Peninsula). Pool systems in both streams were characterized and compared under average dry season and extreme drought conditions using aerial imagery, whereas mussel abundance patterns and host–mussel relationships were assessed in the larger and more hydrologically stable stream. Results showed that drought severity had different effects on pool refugia persistence, longitudinal distribution and host fish availability between streams. The smaller stream experienced extensive pool desiccation during extreme drought, causing widespread mussel mortality, whereas the larger stream retained numerous pools that allowed mussel persistence. Mussel abundance showed no relationship with pool size. However, Unio tumidiformis abundance was positively associated with native fish abundance, particularly in upstream reaches. These results highlight hydrological stability and host availability as key drivers of freshwater mussel persistence in Mediterranean temporary streams. Full article

Servicification—defined as the services value added embodied in goods—has been studied mainly in manufacturing, but its role in agricultural exports is less understood. We measure servicification in agricultural exports and examine how it is associated with export performance, upstream linkages and upgrading-related proxies. Using trade-in-value-added accounting for 80 countries (1995–2022), we estimate two-way fixed-effects panel models with exporter-clustered standard errors. Higher servicification is associated with both larger and intermediate agricultural value-added exports within countries over time. Decompositions show that these relationships are driven by services produced domestically, which are a location-based measure that may include services supplied by foreign-owned affiliates operating locally. Foreign services value added is not systematically related to outcomes. Servicification is also associated with a smaller agriculture-to-economy value-added gap proxy, and embodied financial and Information and Communication Technology (ICT) services appear complementary. Labour-market results for a smaller subsample are suggestive of stronger links with skill-intensive employment shares at lower GDP per capita levels. Because reverse causality cannot be ruled out, the findings are interpreted as conditional associations that motivate future causal identification. Full article