Search Results (16,461)

The preparation for next-generation Earth Observation missions, such as the European Space Agency’s (ESA) Copernicus Hyperspectral Imaging Mission for the Environment (CHIME) and Land Surface Temperature Monitoring (LSTM), requires robust pre-launch proxy datasets. Because current simulation methodologies frequently rely on isolated, platform-specific approaches, this study proposes a comprehensive, unified multisensor framework capable of dynamically generating operationally realistic CHIME and LSTM datasets from diverse airborne and satellite sources. Three distinct processing pipelines were established. For hyperspectral data simulation, precursor satellite imagery (PRISMA and EnMAP) and high-resolution airborne measurements (HySpex) were harmonized to CHIME’s 30 m specifications utilizing Spectral Response Function (SRF) adjustments, Point Spread Function (PSF) spatial resampling, and 6S atmospheric radiative transfer modeling. For thermal data simulation, archive Landsat 8/9 and ASTER imagery were transformed into LSTM’s target 50 m, 5-band configuration using a synergistic two-step approach: a physics-based Spectral Super-Resolution (SSR) module followed by an AI-driven Spatial Super-Resolution (SpSR) transformer network. Evaluated across highly diverse inland, coastal, and riverine testbeds in Italy, the simulated products demonstrated high spectral, spatial, and radiometric fidelity. While inherently constrained by the native spectral ranges of the input sensors and by the current lack of absolute on-orbit mission data for validation, the downscaled images closely reproduced complex thermal patterns and water-quality gradients. Ultimately, this scalable framework provides the remote sensing community with early access to representative datasets and mission performance assessments, while accelerating pre-launch algorithm development and testing for environmental monitoring applications—particularly those focused on water discharges. Full article

Background: Governments increasingly seek whole-system, public-health approaches to prevent serious youth violence. However, there is limited empirical evidence on how such approaches are implemented and sustained in complex, post-conflict settings characterised by coercive control, political instability, and fragmented system ownership. Aim: This study examines the Executive Programme on Paramilitarism and Organised Crime (EPPOC) in Northern Ireland as a system-level implementation architecture for addressing serious youth violence, with a focus on how coordinated action was enabled, constrained, and adapted over time. Methods: We conducted an embedded qualitative case study of EPPOC using systematic analysis of programme documentation, independent evaluations, oversight reports, and population-level data spanning nine years of delivery. Implementation science frameworks (ERIC, Proctor’s implementation outcomes, and CFIR) were applied retrospectively as analytic lenses to examine implementation strategies, outcomes, and contextual determinants. Results: EPPOC demonstrated strong implementation outcomes in acceptability and adoption across statutory and community sectors, supported by cross-government governance, trauma-informed workforce development, and shared learning systems. Penetration and sustainability were more variable and constrained by political instability, short-term funding cycles, uneven departmental ownership, and coercive community conditions. Conclusions: The findings suggest that the most transferable element of EPPOC is not individual interventions but the implementation architecture that enabled coordinated, trauma-responsive action across government in a highly complex environment. This architecture represents a potentially replicable design pattern for jurisdictions seeking to address serious youth violence where traditional programme models struggle to operate. Full article

Demand response is shifting towards continuous coordination of flexible demand, storage, and distributed generation across buildings and prosumer communities. Multi-agent reinforcement learning has gained attention because it can support decentralized execution under partial observability while still learning coordinated behavior through centralized training. This systematic review follows PRISMA 2020 guidance and synthesizes $n=70$ peer-reviewed studies published in the 2021 to 2025 window, covering building clusters, grid-aware district coordination, program-level aggregation, industrial demand response, and transactive energy mechanisms. The results show that the dominant evaluation context is grid-responsive building clusters, with growing reliance on benchmark environments that standardize interfaces and encourage reproducible multi-KPI reporting. Across the methods, centralized training with decentralized execution is the prevailing pattern, often combined with attention-based critics or value factorization to handle heterogeneity and global rewards. Reward design and constraint handling emerge as primary determinants of stability, since objectives mix cost, peak, ramp, comfort, and emissions, while rebound and synchronized behavior are recurring risks. A descriptive and cross-variable quantitative synthesis is also provided, showing that publication activity increased from three studies (4.3%) in 2021 to 28 studies (40.0%) in 2025, with the strongest concentration in 2024–2025. Quantitatively, grid-responsive building clusters accounted for 26 of 70 studies (37.1%), actor–critic methods for 24 studies (34.3%), CityLearn for 16 studies (22.9%), and cost-based evaluation was reported in 64 studies (91.4%), whereas robustness testing appeared in only 16 studies (22.9%). Across the reviewed studies, peak reduction was reported in 55 (78.6%) studies, whereas robustness testing appeared in only 16 studies (22.9%) and transferability or deployment realism in 11 (15.7%), indicating that evaluation remains much stronger for operational performance than for real-world generalization. Full article

Terahertz radiation exhibits significant potential for communications, imaging, and spectroscopy. However, the development of efficient and low-cost THz detectors remains challenging due to limitations such as insufficient sensitivity, slow response speed, and poor room temperature stability. This work presents an innovative quasi-2D perovskite/Weyl semimetal (Co₃Sn₂S₂) heterojunction THz detector that combines complementary material properties via band engineering. The device achieves a remarkable responsivity of 374.15 A/W, a specific detectivity of 6.27 × 10¹¹ cm·Hz^1/2·W⁻¹, and a noise-equivalent power of 0.29 pW·Hz^−1/2 at 0.1 THz. This performance stems from the strong THz absorption of the perovskite layer combined with the high carrier mobility and topological surface states of the Co₃Sn₂S₂, which collectively enable ultrafast carrier extraction and suppressed interfacial recombination. This heterojunction design offers a novel strategy for high-performance terahertz detection and facilitates its integration into next-generation portable, integrated devices. Full article

Global climate change has altered temperature regimes, hydrological stability, and redox dynamics in inland waters, yet the continental-scale impact of these alterations on sediment microbiomes remains poorly understood. Here, we compiled 562 publicly available 16S rRNA gene datasets from lake sediments across five major climatic zones in China to examine how climatic gradients influence microbial diversity, community assembly, and interaction networks, as well as their associated taxonomic composition and environmental responses. Sediment microbiomes showed clear spatial differentiation in both α- and β-diversity, accompanied by climatic zone-specific taxonomic signatures and biomarker taxa. Community assembly also varied markedly across climatic zones, with stochasticity and dispersal limitation dominating in colder regions, transitional assembly in the south temperate zone, and stronger selective or high-turnover dynamics in the warm subtropics. Importantly, random forest models revealed a clear transition from climate-dominated to anthropogenic-dominated control in sediment microbiome organization: microbial variation in the plateau and temperate regions was primarily associated with climatic and geographic constraints, whereas anthropogenic factors played a more important role in shaping community differentiation in the central subtropical zone. By integrating diversity patterns, taxonomic composition, assembly processes, and network topology, we further propose a three-stage conceptual pattern of sediment microbial community organization along climatic gradients, shifting from a persistence-dominated regime in the cold plateau regions, to an efficiency-dominated regime in the temperate zones, and finally to a plasticity-dominated regime in the warm subtropical regions. These findings would provide a continental-scale framework for understanding sediment microbiome responses to coupled climatic and anthropogenic forcing in inland waters, with implications for future water quality management and ecosystem conservation. Full article

Pinus cembroides is among the pine species best adapted to arid and semi-arid ecosystems in the Americas, and its potential distribution is projected to expand under climate change. However, the success of this expansion will depend on belowground processes, particularly the role of soil fungal communities, which in subtropical forests are key for nutrient cycling and plant resilience to environmental stress. Yet their vertical stratification and responses to forest management remain poorly understood, especially in semi-arid systems. Here, we characterized fungal communities from mineral soil and litter associated with P. cembroides across a forest management gradient (mature forests, disturbed stands, and pine plantations) at the southern limit of the species’ distribution. We evaluated the influence of climatic, edaphic, vegetation structure, and microbial activity variables (soil moisture, precipitation, pH, tree density, vegetation cover, temperature and extracellular enzyme activity) on fungal community composition. We found strong vertical stratification between litter and mineral soil. When both substrates were analyzed together as an integrated soil profile, forest condition had no significant effect on alpha diversity; however, substrate-specific analyses revealed higher richness in mineral soil of mature forests compared to disturbed and plantation sites, while litter communities showed no significant differences among conditions. Litter communities were characterized by saprotrophic and endophytic fungi, whereas mineral soil communities were enriched in ectomycorrhizal and other root-associated taxa. Distance-based redundancy analysis indicated that fungal community composition was primarily associated with moisture content, precipitation, pH, tree density, and carbon-degrading enzyme activity. These results highlight the importance of substrate differentiation and environmental gradients in shaping fungal communities in semi-arid pine forests, and provide a baseline for understanding how management and climate change influence soil fungal diversity and ecosystem functioning. Full article

Background/Objectives: Breaking bad news is crucial for patient-centered care. This study aimed to assess physicians’ skills and investigate the possible factors affecting their ability to communicate bad news. Methods: This web-based cross-sectional survey of 633 Greek physicians included demographic and other breaking bad news related questions to evaluate their skills and practices in breaking bad news to patients with cancer. Results: Most physicians defined bad news (91.5%) and frequently used both verbal and non-verbal communication (82.6%). About three-quarters rated their ability to communicate bad news as good to very good (75%) and about half (50.4%) disclosed bad news in a private and comfortable setting. Emotional responses, like sadness (53.4%) and compassion (49.6%), were common, while fears mainly focused on diminishing patients’ hope (60.8%) or managing patients’ reactions (53.9%). Female physicians showed higher anxiety (15.9% vs. 4.3%, p < 0.0005) and sadness (53.4% vs. 43.5%, p = 0.018) and lower self-perceived competence (p = 0.001) compared to males. Specialists and physicians with formal training demonstrated greater competence (p < 0.0005) and were more likely to choose private and comfortable settings (p < 0.0005). Multivariable logistic regression identified increased age (OR = 1.03; p = 0.018), male sex (OR = 1.63; p = 0.015), formal training in breaking bad news (OR = 9.34; p < 0.0005), residence outside Athens (OR = 2.27; p = 0.002), working in oncology (OR = 1.90; p = 0.043), and employment in private hospitals (OR = 1.81; p = 0.014) as statistically significant predictors of good to very good ability to communicate bad news to cancer patients. Conclusions: These findings highlight the value of structured training, targeted practice and institutional support in fostering physicians’ communication skills and boosting patient-centered care. Full article

Glucose oxidase (GOD) is a natural enzyme with antioxidant and antimicrobial properties but its effects on sows remain insufficient. This study investigated the effects of dietary GOD supplementation during gestation on inflammatory response, antioxidant capacity, immune function, and gut microbiota of farrowing sows. Twenty-four primiparous sows were randomly assigned to two groups and fed a basal diet or a basal diet supplemented with GOD (300 mg/kg diet) from gestation day 30 to farrowing. GOD supplementation significantly increased triglyceride, superoxide dismutase, and immunoglobulin M levels (p < 0.05), and significantly decreased alanine aminotransferase and interleukin-6 levels in serum (p < 0.05); significantly reduced placental interleukin-1β, malondialdehyde and tumor necrosis factor-α concentrations and NF-κB gene expression (p < 0.05), and elevated glutathione peroxidase activity and relative mRNA expressions of Nrf2, HO-1, GPX1 and SOD2 (p < 0.05). Moreover, GOD supplementation altered the fecal microbial community structure (p < 0.05), significantly reducing Clostridium, dgaA-11_gut_group, Bacteroides, and Prevotellaceae_NK3B31_group abundance (p < 0.05), while enriching Lachnospira, unclassified_f_Erysipelotrichiaceae, and Anaerostipes (p < 0.05). Collectively, 300 mg/kg glucose oxidase supplementation during mid-to-late gestation improved the health status of farrowing sows by improving nutrient utilization, immune function and antioxidant capacity, and altering fecal microbial structure and relative abundances. Full article

Background: Recent advances in spatial transcriptomic technologies enable in situ gene expression profiling while preserving spatial context. This capability is particularly important for studying the tumor microenvironment (TME), where diverse and admixed cell populations interact within highly organized spatial niches that influence tumor progression and therapeutic response. However, the limited resolution of early spatial transcriptomic platforms results in each spatial spot capturing transcripts from multiple cell types, making accurate spot deconvolution or annotation a critical yet challenging step in downstream data analysis. The level of complexity will be particularly prominent in heterogeneous samples like the tumor microenvironments where multiple cell types are highly admixed and reliable single-cell reference atlases may usually be unavailable. Methods: In this paper, we developed our method called STEA, which is a novel and accurate reference-independent enrichment-based annotation algorithm for major cell type. Unlike the existing approaches, STEA does not require single-cell RNA sequencing datasets as reference, offering both flexibility and computational efficiency in execution. Results: We performed comprehensive benchmarking using a variety of simulated datasets across different platforms and scenarios and demonstrated the superior accuracy of STEA. Apart from synthetic data, we also evaluated multiple real datasets to further exemplify its practical applicability on both oncology-related and oncology-unrelated data. More importantly, we could confidently demonstrate the high concordance between prediction of STEA and histological classification by experienced pathologist. Conclusion: Our STEA algorithm provides a practical reference-independent framework to complement the cutting-edge spatial transcriptomics in genomics studies, facilitating accurate downstream high-dimensional spatial characterization of cellular and molecular landscapes, reconstruction of tissue architecture as well as cell–cell communication in malignant and non-malignant scenarios. Taken together, our comprehensive evaluation demonstrates the robustness and reliability of STEA, highlighting its potential as a valuable tool for studying complex tissue organization, particularly within heterogeneous TME. Full article

Name.Narrate.Navigate (NNN) is a trauma-informed program for justice-involved young people aged 12–18 years, recognising that experience and use of violence are often interconnected and may involve serious criminal behaviour, including vulnerability to criminal exploitation. NNN addresses a gap in evidence-based, culturally responsive tertiary interventions for this cohort in regional New South Wales (NSW), Australia, integrating dialectical behaviour therapy (DBT) principles with Aboriginal ways of knowing and doing, co-designed through community-based participatory research (CBPR) with Aboriginal community members, young people, and frontline practitioners. The program aims to strengthen skills for self-awareness, self-regulation and healthy connection through relational, creative, and participatory approaches. Using a realist evaluation framework, this paper examines what works in NNN, for whom, and under what circumstances. Drawing on participant session ratings, practitioner observations, program documentation, and interviews, findings are organised across four domains: effects, mechanisms, moderators, and implementation. Indicative findings show that engagement, emerging changes in the narratives of self, and developing skills for self-regulation were most evident when trauma-informed and culturally safe practice was enacted within genuinely relational, strengths-based encounters. These conditions are identified and discussed as transferable principles for the field, key amongst them that intervention readiness must be treated as a capacity to be actively built rather than a precondition to be screened for; and that creative, participant-led methods represent an epistemological commitment to whose knowledge counts in practice. This case study contributes to a critically underserved evidence base by documenting not only what a tertiary youth violence intervention looks like, but the conditions under which it begins to work and for whom. Full article

Everyday public parenting encounters may influence immediate stress-relevant appraisal processes. Guided by interactionist and narcissistic self-regulation frameworks, the present study examined how recognition-based versus status-challenging norm framing in a standardized playground interaction influences young parents’ immediate responses, and whether narcissistic admiration and rivalry shape these processes. A community sample of 776 Israeli parents aged 25 to 41 was randomly assigned to view one of two ultra-realistic video vignettes depicting an identical turn-taking situation framed either in recognition-based terms that emphasized fairness, shared legitimacy, and respectful coordination, or in status-challenging terms that emphasized priority claims, non-negotiability, and implied hierarchy. Participants responded from the perspective of the focal parent (i.e., a parent from the family being spoken to in the interaction). Narcissistic admiration and rivalry were assessed using the Narcissistic Admiration and Rivalry Questionnaire. Parallel moderated mediation analyses revealed that condition was strongly associated with both perceived recognition and perceived freedom threat. These appraisals, in turn, predicted state reactance, negative affect, evaluations of the initiating parent, and behavioral preferences. Recognition-based framing indirectly reduced reactance and negative affect and increased favorable evaluations through higher perceived recognition and lower perceived freedom threat. Contrary to moderated mediation predictions, narcissistic admiration and rivalry did not moderate the indirect effects. However, narcissistic rivalry, and to a lesser extent narcissistic admiration, showed consistent direct associations with reactance-related and entitlement-oriented responding. These findings identify proximal appraisal mechanisms linking subtle norm framing in public parenting contexts to immediate affective, evaluative, and behavioral reactions. More broadly, the results highlight an immediate appraisal-based process that may inform future longitudinal and intervention-focused research on parenting stress in shared community settings. Full article

The rectal mucosa houses a large number of viruses with important roles in shaping the local microbial communities and modulating immune responses, which could influence host susceptibility to infection and other diseases. Unique composition of the gut microbiome, including the predominance of clinically significant eukaryotic viruses like herpesviruses, cytomegalovirus, and human papillomavirus, has been described in both people with HIV (PWH) and men who have sex with men (MSM) vulnerable to HIV. Despite these insights, the rectal virome and the clinical implications of virome–bacteriome–immune interactions in the rectal mucosa remain poorly understood. In this review, we synthesize existing data on the composition of the rectal virome, its interactions with the bacteriome and the immune system, and implications on clinical outcomes in people living with or vulnerable to HIV. We also highlight the gaps and research needed to further explore and unravel these relationships. Full article

Peanut (Arachis hypogaea L.) forms root nodules that host microbial communities influencing plant nutrition and stress tolerance, and herbicide use may act as an environmental filter altering the cultivable nodule microbiota. This study isolated and characterized bacteria from peanut nodules collected in fields with and without imazapic application in Jaboticabal, São Paulo, Brazil. Eight isolates were obtained, and one hemolytic strain was excluded after pathogenicity screening. Based on 16S rRNA gene sequencing and phylogenetic analysis, the isolates were identified as Bacillus aerophilus, Bacillus inaquosorum, Bacillus subtilis, Bradyrhizobium yuanmingense, Burkholderia lata, and Rhizobium tropici. Nodules from herbicide-treated plants yielded exclusively Bacillus spp., whereas those from non-treated plants showed greater taxonomic diversity. Molecular screening detected genes associated with biological nitrogen fixation (nifH) and nodulation (nodA, nodB, nodC, nodD), indicating potential functional capacity. In greenhouse assays, the isolates showed strain-dependent effects on early plant development, with pronounced responses in root growth and nodulation. Burkholderia lata and bacterial consortia enhanced root development and nodulation, with performance comparable to the commercial inoculant SEMIA 6144. Herbicide management shapes the cultivable nodule microbiota, and selected isolates show potential as bioinoculants for peanut production systems. Full article

Noise in industrial buildings affects workers’ productivity and can seriously impair their physical and mental health, yet existing studies often overlook workers’ subjective perceptions and rely on a single method. Therefore, this study recruited 263 workers from four industrial buildings in Beijing and adopted a mixed-methods approach. First, 30 semi-structured interviews were analyzed using grounded theory’s three-level coding procedure to construct a conceptual framework of a healthy acoustic environment and its influencing factors. Next, a 30-item subjective questionnaire was developed, and structural equation modeling was conducted on 256 valid responses. Finally, Spearman correlation analysis and multidimensional scaling were used to examine relationships between subjective evaluations and eight physical and psychoacoustic indicators. The results identified nine major dimensions, including Sound Source Localization, Physiological Effects at Work, and Regulatory Control, as well as 15 relational pathways. Compared with existing frameworks, Communication Barrier emerged as a more prominent dimension in industrial building contexts. Structural equation modeling confirmed that 12 pathways were statistically significant. Correlation analysis further showed that only a few objective–subjective associations were significant, indicating that objective acoustic indicators alone cannot explain workers’ multidimensional perceptions. In conclusion, this study developed an evaluation model for healthy acoustic environments in industrial buildings, highlighting the need to emphasize controllability, communication support, and integrated subjective–objective evaluation in acoustic design to better enhance workers’ well-being. Full article

Wide-area maritime surveillance is an increasingly important focus for countries with large Exclusive Economic Zones (EEZ), such as Portugal, which are responsible for monitoring and protecting these zones and their resources. Passive acoustic autonomous buoy networks equipped with hydrophones are a promising approach for wide-area maritime surveillance. However, achieving a discrete, low-cost system introduces many technical challenges. This work describes a practical, low-power, two-state architecture that separates continuous ship detection from detailed vessel class classification. First, an always-on microcontroller performs continuous binary ship presence detection and triggers the higher-power classifier only when a vessel is detected. The high-accuracy acoustic classifier was tested across embedded controllers to identify the minimum platform capable of sustaining its intended 1 Hz classification rate. A Raspberry Pi 5 achieved the 1 s target with a measured continuous consumption of 4 W; however, adding sensing, storage, and communications is expected to raise the always-on consumption to around 5 W. If this node was used by itself, a week-long autonomy requirement, therefore, would imply 840 Wh of usable energy storage, and recovering this deficit rapidly under limited insolation would require several hundred watts of photovoltaic capacity, driving both buoy volume and cost up. To address this, an always-on edge node based on an ESP32-S3 microcontroller was implemented, running a lightweight binary detection of a vessel presence model trained in Edge Impulse using a subset of Ocean Networks Canada recordings. The edge node consumes $0.69$ W continuously and is intended to trigger a wake-up line to power the higher-performance node only when a ship is detected, reducing average energy demand while maintaining the ability to run a richer classifier on demand. The presented architecture, profiling workflow, and energy calculations provide a path to power-aware passive acoustic monitoring systems suitable for extended maritime deployments. Full article