Search Results (115)

Accurate wind-power forecasting is essential for grid scheduling when renewable generation becomes highly variable. This study developed WindPower-SAFusion, an Informer-inspired forecasting model designed for long wind-power sequences. The framework is built around three complementary designs. First, ProbSparse self-attention is used to lower the attention cost from $O\left(L^2\right)$ to $O\left(L\log L\right)$ while retaining informative temporal dependencies. Second, convolutional distillation is embedded in the encoder to summarize local fluctuations and form multi-scale representations. Third, historical theoretical power and wind speed are fused in a recursive forecasting scheme for multi-step prediction. The model is evaluated using measured data from the Daliang Wind Farm in Guazhou, Gansu Province, China. Experiments conducted using 1-day, 3-day, and 7-day horizons show that WindPower-SAFusion obtained lower errors and higher explanatory ability than the selected statistical and deep learning baselines. The ablation results further confirm the contributions of sparse attention, convolutional feed-forward extraction, and sequence distillation. These findings indicate that the proposed framework can provide an effective data-driven tool for wind-farm dispatching and power-management applications. Full article

This paper presents a wideband pattern-reconfigurable antenna designed for 360° horizontal sensing with angle-of-arrival (AoA) estimation capability. The antenna features a unique three-layer planar architecture, where a microstrip circular array is integrated between two metallic plates to enhance radiation stability and bandwidth. By employing a single-pole four-throw (SP4T) switching circuit, the array generates four steerable beams covering the entire azimuthal plane. Experimental results show that the prototype achieves a 10 dB return loss impedance bandwidth of 50% (4.0–6.0 GHz) and a peak gain of 8.3 dBi. Based on this antenna, a correlation-coefficient-based AoA estimation approach is implemented. The measured results demonstrate reliable estimation performance, with a mean angular error of less than 1.5° over the 360° horizontal plane across the operating frequency range. The proposed design provides a compact and low-complexity solution for practical wideband direction-finding applications in next-generation wireless systems. Full article

The growing demand for structural coloration methods that simultaneously exhibit an iridescent sheen effect and a base color on transparent substrates calls for a single-step fabrication procedure capable of periodic and localized modulation of thin-film structure. In this work, a composite thin-film structure consisting of aluminum nitride-aluminum (AlN-Al)-soda-lime glass substrate is designed, deposited, and subsequently processed using burst-mode femtosecond laser. By systematically varying the number of sub-pulses, the pulse-to-pulse distance, and the average laser power while maintaining a fixed single-sub-pulse energy (1 μJ), the precise control over thermal accumulation and surface protrusion morphology is achieved, resulting in a series of highly transparent structural colors with iridescent sheen effects. Reflectance spectra, transmittance data, confocal microscopy, scanning electron microscopy and coupled energy dispersive spectrometer analyses, and the finite-difference time-domain simulations reveal that the observed color variation originates from laser-induced air gaps between the Al and AlN layers, rather than from compositional changes, and that the resulting periodic surface protrusion structures govern the iridescent sheen effect. The proposed method enables large-scale patterning while preserving high transmittance, as demonstrated by the desired hue, saturation, and iridescent sheen. This burst-mode laser processing strategy offers a material- and production line-compatible route for realizing coupled interference- and diffraction-based structural colors, with promising applications in decorative purposes with anti-counterfeiting or encryption purposes, where both angle-independent base color and angle-dependent iridescent sheen effect are required. Full article

Background: Healthcare systems globally continue to experience persistent workforce and system-level challenges as increased workloads, lasting wellbeing impacts, and retention issues remain following the pandemic. To inform strategies and interventions to address these issues, this paper explored the workplace experiences of Victorian (Australia) frontline healthcare workers with parenting responsibilities during the COVID-19 pandemic. Methods: A total of 39 frontline healthcare workers from a large metropolitan hospital were interviewed between October 2020 and February 2021. Reflexive thematic analysis was used to analyse transcripts. Results: Three superordinate themes and five subordinate themes were identified. Themes highlighted the significant pressure that rapid workplace changes placed on healthcare staff and leaders, affecting their physical, mental, and relational health. Support from peers and supervisors was protective, though this increased demands on supervisors themselves. While many staff reported pride in their work, some experienced reduced career satisfaction and concerns about lasting psychological impacts. Conclusions: This study identifies how workplace supports operate through communication transparency, leadership capacity, and protected peer-support space, translating to organisational priorities for the post-pandemic workforce. In the context of ongoing workforce shortages and heightened demands post-pandemic, these findings underscore the importance of strengthening leadership capacity, embedding sustainable workplace supports, and addressing the psychological needs of healthcare staff. Such system-level responses are essential for pandemic recovery, improving workforce retention and staff wellbeing in the modern healthcare environment. Full article

This essay examines the visual culture of what might be termed “the ecology of silver” between 1492 and 1710 in relation to colonialism on both sides of the Atlantic, with particular attention to both its shiny allure and the blind spots that that shininess produces. It focuses on three inter-related areas: depictions of Potosí, the great silver mountain in viceregal Peru; silver’s shine in European elite material culture; and the deployment of silver in celebrating the Spanish monarchy in viceregal Sicily, part of its empire within Europe. Current scholarship on early modern silver bifurcates between historical, political, and anthropological studies of silver’s extraction in the Americas and colonialism on one hand and a celebratory art historical scholarship focused on high-end European silver goods on the other. Scholars have energetically examined its extraction, the global trade in bullion, the rise of capitalism that it fed, and the wars that it fomented and paid for, but they stop short of inquiring into the ends to which silver was deployed within Europe and Asia beyond the naming of the principal ports. Meanwhile, studies of silver in Europe are overwhelmingly tightly drawn and connoisseurial, often with no reference to where the silver came from, let alone the circumstances of its extraction, transport, or even its effects. This split is due partly to a prevalent notion that silver’s value is inherent, objective, and caused by “rarity”; and it is partly due to art history’s unswerving identification with the rich and powerful. Such approaches overlook silver’s remarkable material and alchemical qualities and ignore its capacity to turn grubby profit into charismatic sparkle, which simultaneously drove the ecological and environmental damage and exonerated its profiteers. Early modern silver linked environmental destruction, colonialism, genocide, and coloniality to high culture, making it a particularly relevant topic for art historical analysis in this context. But more than that silver entwined them in complex, convulsive, and transformative ways, turning imperialism, violence and exploitation into beauty, shimmer and cultural sophistication. Hence, this essay insists on the centrality of imperial issues in the Old World as in the New, underscoring colonial dynamics within metropolitan culture while critically examining the work of seduction of art. The paradoxical quality of shine is the lens through which is seen the relation between violent coloniality and the allure and ecology of early modern silver. Full article

Peptide therapeutics occupy a unique chemical space between small molecules and biologics, combining high target specificity with structural programmability and favorable safety profiles. Recent regulatory approvals and expanding clinical pipelines underscore the growing therapeutic and commercial relevance of peptide-based drugs. This review outlines chemical modification approaches and contemporary design strategies, and evaluates their impact on proteolytic stability, pharmacokinetics, membrane permeability, and target engagement. We then highlight recent advances in artificial intelligence (AI)-guided peptide drug design, including machine learning models, protein language models, and generative architectures that enable high-throughput activity prediction, property optimization, and de novo sequence generation. These approaches collectively accelerate the traditional discovery–design–validation cycle while reducing experimental attrition through data-driven, structure-informed modeling frameworks. Among these applications, AI also enables the rational design of cell-penetrating peptides (CPPs) to enhance intracellular delivery and biological activity. Building on these methodological advances, we further examine their application to peptide therapeutics, with particular emphasis on AI-based predictive models for CPPs as well as on therapeutic applications within the central nervous and pulmonary systems. We conclude by outlining future perspectives and emphasize that the systematic integration of AI-enabled sequence design with rational chemical engineering and advanced delivery technologies, supported by rigorous experimental validation, will be critical for developing robust and clinically durable peptide-based medicines. Full article

Toxoplasmosis is a cosmopolitan zoonosis that particularly threatens pregnant women, their fetuses and immunocompromised individuals. Among people living with HIV, Toxoplasma gondii may invade the central nervous system, producing neuropathological effects associated with mental and psychiatric disorders. We assessed the seroprevalence of anti-T. gondii IgG in HIV-infected and HIV-uninfected residents of Iquitos, Peru, and evaluated an in-house ELISA based on total lysate antigen (TLA) and recombinant GRA1 (rGRA1), with ELISA-TLA compared against a commercial kit. In this observational cross-sectional study, 151 participants were enrolled: 92 HIV-positive and 59 HIV-negative. ELISA-TLA showed a seroprevalence of 88.08% (133/151), reaching 91.30% (84/92) in the HIV-positive group and 83.05% (49/59) in the HIV-negative group. ELISA-rGRA1 showed a similar epidemiological pattern but lower overall seroprevalence, 81.46% (123/151), with 84.78% (78/92) in HIV-positive and 74.58% (44/59) in HIV-negative participants. Taken together, both TLA and rGRA1-based ELISAs showed similar epidemiological patterns, supporting the consistency of the serological findings. These results also indicate very high exposure to T. gondii in Iquitos, particularly among HIV-positive individuals, in whom prior exposure is clinically relevant because of the risk of reactivation under immunosuppression. Serological screening and preventive counseling may therefore be warranted in high-burden Amazonian communities. Full article

Bronchopulmonary dysplasia (BPD) remains a major long-term morbidity among preterm infants. As lung-protective strategies advance and survival of extremely premature neonates improves, BPD has evolved from a ventilator-induced inflammatory and fibrotic process to a disease marked by arrested pulmonary vascular and alveolar development—pulmonary vascular disease. Within this evolving phenotype, pulmonary hypertension (PH) has emerged as a critical yet underrecognized complication. BPD-associated pulmonary hypertension (BPD-PH) is increasingly linked to higher mortality and worse clinical outcomes, but its pathophysiology, screening strategies to detect early changes, and optimal management remain incompletely understood. This review delineates the pathophysiology of BPD-PH, linking impaired pulmonary vascular development with subsequent maladaptation influenced by genetic, prenatal, and postnatal factors. The phenotypic and hemodynamic spectrum of BPD-PH is further subclassified using echocardiographic markers to support a physiology-based approach to diagnosis and management. We also propose a pragmatic algorithm for screening, evaluation, and longitudinal follow-up. Collectively, this review highlights the need for physiology-driven strategies and clinical studies to improve outcomes in these neonates. Full article

Heart failure with preserved ejection fraction (HFpEF) accounts for about half of heart failure cases and is linked to aging, obesity, diabetes, and multimorbidity, yet disease-modifying therapies remain limited. A major barrier is heterogeneity: HFpEF comprises overlapping inflammatory, fibrotic, cardiometabolic, and hemodynamic/vascular endophenotypes embedded within systemic cardiorenal and cardiohepatic cross-talk, which conventional metrics such as left ventricular ejection fraction (LVEF), natriuretic peptides (NPs), and standard imaging capture incompletely. In this narrative review, we synthesize clinical, mechanistic, and trial data to describe HFpEF endophenotypes and their multi-organ interactions; critically appraise why traditional diagnostic and enrollment strategies contributed to neutral outcomes in landmark trials; and survey emerging cardiovascular multi-omics studies. We then outline an integrative systems-biology framework that applies (i) within-layer analyses and cross-layer integration, (ii) network-based driver nomination and biomarker discovery, and (iii) target nomination to link molecular programs with circulating markers and candidate therapies. Finally, we discuss practical challenges in implementing multi-omics HFpEF research and highlight future directions such as artificial intelligence (AI)-enabled multi-omics integration, cross-organ profiling, and biomarker-guided, endotype-enriched platform trials. Collectively, these advances position HFpEF as a proving ground for precision cardiology, in which therapies are matched to molecularly defined disease programs rather than ejection-fraction cutoffs alone. Full article

This preliminary study investigates a direct, non-delaminated route to valorize multilayer pharmaceutical sachet offcuts (comprising paper/plastic/aluminum) as partial substitutes for wood fiber in wood-based panels. Milled offcuts were incorporated at 10, 20, and 30 wt% (control: wood only). Laboratory mats were hot-pressed at 170 °C for 9 min under a staged pressure regime. Sampling and three-point bending were performed according to EN 326-1 and EN 310, respectively, with the density held essentially constant by controlling the mat mass and press stops. Bending stiffness (MOE) was maintained at 10–20 wt% (within experimental uncertainty of the reference), while 30 wt% showed a consistent downward trend (approximately 10%). Bending strength (MOR) peaked at 10 wt% (approximately 8% higher than the reference), then declined at 20% and 30%. Representative stress–strain curves corroborated these outcomes, indicating auxiliary bonding and crack-bridging effects at low waste loadings. Hygroscopic performance improved monotonically: 24 h water absorption and thickness swelling decreased progressively with increasing substitution, attributable to the hydrophobic polymer layers and aluminum fragments interrupting capillary pathways. Process observations identified opportunities to improve press-cycle efficiency at higher waste contents, and the dispersed foil imparted a subtle decorative sheen. Overall, the results establish the technical feasibility and a practical utilization window of approximately 10–20 wt% for furniture-grade applications. Limitations include the laboratory scale, a single resin/press schedule, and the absence of internal bond, density profile, emissions, and long-term durability tests—topics prioritized for future work (including TGA/DSC, EN 317 extensions, and scale-up). Full article

Background and Objectives: The use of cementless total knee arthroplasty (TKA) is increasing, but established methods for assessing bone quality to prevent early failure remain undefined. Current preoperative assessments using central bone mineral density (BMD) do not accurately reflect peripheral bone quality, and intraoperative evaluation is subjective. This study aimed to establish objective assessment methods by analyzing the correlations between a novel visual grading system, CT Hounsfield units (HU), and actual bone strength. Materials and Methods: This prospective study included 131 patients undergoing posterior-stabilized TKA. We developed a novel visual grading system (Excellent, Good, Fair, Poor) based on femoral cutting surface characteristics. CT HUs were measured preoperatively by an assisting surgeon in the box bone area. Femoral box specimens underwent indentation testing to determine their actual bone strength. Minimum Required Strength (MRS) was defined at 2.5-fold the patient’s body weight, and Estimated Withstanding Strength (EWS) was determined by scaling first failure load using area ratios. Patients were classified as “cementless suitable” (EWS > MRS) or “cemented mandatory” (EWS < MRS). Correlations were assessed using Spearman’s rank correlation for visual grade and Pearson correlation for Hounsfield units. ROC curve analysis determined diagnostic accuracy. Results: Visual grade exhibited an exceptionally robust relationship to bone strength (Spearman ρ = 0.903, p < 0.01), whereas HU showed substantial correlation (Pearson r = 0.660, p < 0.01, R² = 0.435). Visual grading achieved excellent diagnostic accuracy (AUC = 0.974, sensitivity 95.1%, specificity 95.9%) using “Good” grade as cutoff. HU demonstrated AUC of 0.938 with 92.7% sensitivity and 81.6% specificity at a cutoff value of 65.2. Conclusions: Our novel visual grading system and CT HU demonstrated excellent correlations with actual distal femoral bone strength and outstanding diagnostic performance for identifying cementless TKA candidates. Unlike traditional subjective intraoperative assessments such as the “thumb test”, this system provides objective visual criteria directly correlated with actual bone strength. Preoperative HU screening with intraoperative visual grading can help prevent early failure. Full article

Recent studies in murine disease models have identified Siglec-F⁺ neutrophils, which express a marker traditionally associated with eosinophils, as a functionally distinct population characterized by extended lifespans and context-dependent roles. While conventional neutrophils typically return to the bone marrow or undergo apoptosis at the site of inflammation, these cells remain in tissues for extended periods. These cells demonstrate remarkable functional plasticity, promote bacterial clearance and immune activation during infections, foster immunosuppression and tumor progression in cancer, and contribute to tissue remodeling in fibrotic diseases. In this review, we examine the key features governing Siglec-F⁺ neutrophil differentiation and function—including Siglec-F signaling, metabolic programming, and upstream cytokine cues—and explore how targeting these pathways may offer promising avenues for precision immunomodulation. Full article

Persistent pulmonary hypertension of the newborn (PPHN) results from disrupted fetal–neonatal circulatory transition, characterized by elevated pulmonary vascular resistance (PVR), right-to-left shunting, and refractory hypoxemia. Despite improved perinatal care, PPHN remains a major source of neonatal morbidity and mortality. This review details PPHN phenotypes, pathophysiology, etiology, diagnostics including echocardiography and biomarkers like B-type Natriuretic Peptide (BNP) or N-terminal pro-B-type Natriuretic Peptide (NT-proBNP), and current therapeutic modalities, from lung recruitment and surfactant to targeted vasodilator therapy (iNO, sildenafil, milrinone, bosentan) and extracorporeal membrane oxygenation (ECMO). We emphasize the role of endothelial and molecular mechanisms in precision therapy and outline guidelines for clinical decision-making in diverse care settings. Full article

Background and Objectives: Adequate bone quality is essential for promoting initial bone ingrowth and preventing early migration during cementless total knee arthroplasty (TKA). However, gold-standard criteria for identifying suitable bone strength have yet to be established. Dual-energy computed tomography (DECT)-based volumetric bone mineral density (vBMD) is an emerging tool for assessing bone quality. This study aimed to determine whether DECT-derived vBMD can accurately predict suitable bone strength for cementless TKA. Materials and Methods: A total of 190 patients undergoing primary TKA with a standardized posterior-stabilized implant were prospectively enrolled. Prior to TKA, DECT-derived vBMD was measured in the femoral box region. Actual bone strength was evaluated using an indentation test on resected femoral box specimens. Correlation and linear regression analyses were performed to assess the relationship between DECT vBMD and actual bone strength. Receiver operating characteristic (ROC) curve analysis and area under the curve (AUC) calculations were used to determine the optimal cut-off value and diagnostic accuracy of DECT vBMD in identifying candidates suitable for cementless TKA. Results: DECT-derived vBMD exhibited a strong correlation with actual bone strength (correlation coefficient = 0.719, p < 0.01), while linear regression analysis revealed a moderate association (R² = 0.51, p < 0.01). In addition, it demonstrated excellent diagnostic performance in predicting adequate bone quality for cementless TKA, yielding an AUC of 0.984, with a sensitivity of 91.9% and a specificity of 92.0%. Conclusions: DECT-derived vBMD is a reliable and accurate tool for assessing bone strength around the knee and predicting the suitable bone quality for cementless TKA. Full article

Oil spills on the water surface pose a significant environmental hazard, underscoring the critical need for developing Artificial Intelligence (AI) detection methods. Utilizing Unmanned Aerial Vehicles (UAVs) can significantly improve the efficiency of oil spill detection at early stages, reducing environmental damage; however, there is a lack of training datasets in the domain. In this paper, LADOS is introduced, an aeriaL imAgery Dataset for Oil Spill detection, classification, and localization by incorporating both liquid and solid classes of low-altitude images. LADOS comprises 3388 images annotated at the pixel level across six distinct classes, including the background. In addition to including a general oil class describing various oil spill appearances, LADOS provides a detailed categorization by including emulsions and sheens. Detailed examination of both instance and semantic segmentation approaches is illustrated to validate the dataset’s performance and significance to the domain. The results on the test set demonstrate an overall performance exceeding 66% mean Intersection over Union (mIoU), with specific classes such as oil and emulsion to surpass 74% of IoU part of the experiments. Full article