Depressive symptoms are prevalent and demonstrate distinct developmental trajectories throughout adolescence. Although previous research has suggested central symptoms as possible intervention targets, few studies have explored the effects of targeting these symptoms on global network states. Utilizing the Ising model and the NodeIdentifyR algorithm, this study aimed to identify effective intervention targets and examine their associations with central symptoms across different stages of adolescence. A total of 46,842 participants completed the Center for Epidemiologic Studies Depression Scale and provided demographic information. Participants were categorized into early (n = 15,299), middle (n = 15,596), and late (n = 15,547) adolescence. The Ising model identified “feeling sad” and “feeling depressed” as the symptoms with the highest expected influence in early and middle-to-late adolescence, respectively. The expected influence value of “feeling depressed” increased from early to late adolescence. Simulated interventions projected that decreasing the thresholds of “feeling bad” (early adolescence) and “feeling depressed” (middle and late adolescence) would yield the greatest reduction in network activation, identifying them as effective treatment targets. Worsening “feeling sad” and “feeling depressed” (early adolescence) and “feeling blue” (middle and late adolescence) was projected to result in the greatest increase in network activation, making them the effective prevention targets. The most central symptoms were not necessarily congruent with the effective intervention targets identified by simulations. These findings may help practitioners optimize treatment and prevention efforts for adolescents with depressive symptoms across distinct developmental stages.
This study provides a physicochemical characterisation of commercial Brazilian sparkling wines, aiming to describe the typicity of products obtained using the Charmat and Traditional methods. A total of 261 wines were analysed, including 119 produced by the Charmat method and 142 by the Traditional method. The results show distinct compositional patterns across the analysed samples. Wines produced by the Traditional method, predominantly based on blends of Chardonnay and Pinot Noir, showed higher levels of lactic acid, volatile acidity, alcohol, and pressure, together with lower residual sugar contents. In contrast, Charmat sparkling wines displayed greater varietal diversity, including the widespread use of Glera, and higher levels of residual sugar, malic, and citric acids. A relatively high proportion of sparkling wines were identified as “Long Charmat”, with maturation periods of six months or more on lees in tanks, while a subset of Traditional method wines showed ageing times shorter than 12 months. In both production methods, Riesling Italico (Welschriesling) ranked among the four most frequently used grape varieties. Overall, the results highlight consistent compositional tendencies within a broad set of commercial wines. This study establishes a reference compositional dataset for Brazilian sparkling wines, contributing to the understanding of this expanding wine category by characterizing production practices and grape variety usage and identifying “Long Charmat” as a distinctive feature in the Brazilian context.
The development of high-efficiency copper indium gallium diselenide (CIGS) solar cells is currently driven by a dual strategy of internal structural refinement and integration into multi-junction tandem architectures. This study aims to systematically analyze the key design and optimization strategies required to overcome the 33.7% Shockley–Queisser limit of single-junction devices. The results demonstrate that bandgap engineering, particularly through double-graded “notch” profiles, significantly enhances charge carrier collection and improves overall device performance, while alkali metal post-deposition treatments effectively reduce interface recombination losses. Furthermore, integrating CIGS with perovskite top cells in two-terminal (2T) and four-terminal (4T) configurations is a promising pathway to achieving efficiencies exceeding 30%. By combining advanced vacuum-based fabrication techniques, such as the three-stage co-evaporation process, with precise optical management, CIGS technology is positioned as a versatile candidate for both high-performance terrestrial and radiation-tolerant space applications.
Laser powder bed fusion (LPBF) is widely used for manufacturing nickel-based superalloy components with complex geometries; however, the process produces non-equilibrium microstructures characterized by directional grain growth, cellular substructures, and compositional segregation, which can lead to anisotropic mechanical behavior. In this study, the influence of multiple post-processing heat-treatment routes on the microstructural evolution and mechanical properties of LPBF-fabricated Inconel 625 (IN625) was systematically investigated by combining stress relief, hot isostatic pressing (HIP), and solution annealing. Microstructural characterization was performed using optical microscopy and scanning electron microscopy, while tensile properties were evaluated from room temperature to 700 °C. The HT3 condition resulted in a fully recrystallized, equiaxed grain structure with reduced segregation and minimal Nb-rich Laves phase, leading to nearly isotropic mechanical properties, with an ultimate tensile strength of approximately 880 MPa and an elongation exceeding 50%. Elevated-temperature testing demonstrated stable mechanical performance, with a localized strengthening effect near 600 °C attributed to dynamic strain aging. These results demonstrate that appropriate post-processing can effectively homogenize LPBF IN625 and improve its mechanical reliability.
With the rapid development of autonomous driving, first-person view (FPV) pedestrian trajectory prediction has emerged as a key research direction to improve transportation system safety and operational efficiency. However, current studies ignore inter-pedestrian group information and long- and short-term dependence, leading to error accumulation at medium and long temporal horizons. To address these problems, we propose an FPV pedestrian trajectory prediction model dubbed MUGI-Net (Mixture of Universals and Group Interaction Network). It adopts a group pooling mechanism to adaptively aggregate group nodes and build sparse intra- and inter-group interaction graphs to fuse group interaction information. Afterward, it employs a Mixture of Universals (MoU) structure that combines MoF (Mixture of Feature Extractors) and MoA (Mixture of Architectures) to capture short-term dynamics and long-term dependencies simultaneously. Extensive experiments on the JAAD and PIE datasets show that MUGI-Net reduces the 1.5 s prediction MSE by 5% compared with the state-of-the-art AANet, and achieves the best performance on multiple key metrics, which is beneficial for autonomous driving in mixed traffic scenarios.
Cardiac fibrosis represents a global health crisis, observed in nearly all forms of heart disease, and contributes significantly to the progression of heart failure. Driven by diverse etiologies such as chronic hypertension, myocardial infarction, and metabolic disorders, cardiac fibrosis is characterized by the excessive deposition of extracellular matrix proteins. At the cellular level, the activation of cardiac fibroblasts into myofibroblasts serves as the primary mechanism for this structural remodelling. Excessive collagen deposition, crosslinking, and pathological scarring lead to increased ventricular stiffness, electrical arrhythmias, and a profound decline in cardiac function, affecting the quality of life for millions of patients worldwide. The review discusses the existing well-known profibrotic signals and molecular signalling pathways leading to cardiac fibroblast activation, collagen synthesis, and crosslinking. Mechanosensitive pathways, signalling mechanisms involved in collagen crosslinking, and epigenetic factors of cardiac fibrosis are also discussed along with their potential antifibrotic targets and therapeutic drugs. Further, small-molecule inhibitors, peptide-based therapies, natural compounds, and repurposed drugs for fibrosis are also discussed. This review concludes with recent approaches of chimeric antigen receptor (CAR)-T cell therapy for cardiac fibrosis.
The last Far Eastern leopards survived at the junction of the Southwest of Primorsky Krai in Russia and the Laoyeling-Dalongling in Jilin and Heilongjiang provinces in China. By the year 2000, there were only 30–35 individuals living in an area of approximately 3000 km2. Thanks to conservation efforts, this endangered subspecies has moved away from the edge of extinction, with more than 150 individuals living in an area over 14,000 km2 in 2022. Reliable protection of key habitats has played a crucial role in this success. Over the past 25 years, the transboundary network of protected areas dedicated to the conservation of the Far Eastern leopard has increased 12 times, from 1532 km2 to 18,961 km2, covering 12,636 km2, or 90 percent of its current range. The latest step was the proclamation in 2024 of the Sino-Russian transboundary protected area “Land of Big Cats”. This includes the Kedrovaya Pad Nature Reserve, the Land of the Leopard National Park with a buffer zone in Russia (3694 km2), and the Northeast Tiger Leopard National Park in China (14,612 km2). According to our estimates, this will ensure the long-term preservation of 17,239 km2 of suitable habitats, which will allow for the maintenance of a potential population of at least 300 Far Eastern leopards.
Amid persistent environmental pressures linked to energy dependence and structural inefficiencies, this study represents one of the first empirical attempts to concurrently investigate the effects of renewable energy, green technology, environmental taxes, economic growth, energy imports, and government effectiveness on greenhouse gas emissions (GHGE) using data updated through 2024 for Nigeria’s evolving economy. Using the “Autoregressive Distributed Lag” (ARDL) approach with “Granger causality” analysis, the results confirm a stable long-run association between the indicators. Renewable energy and energy imports indicate a negative correlation with GHGE in both the near and long term, supporting Nigeria’s low-carbon transition. Economic growth reduces emissions in the near term but shows no significant long-run effect. Environmental taxes exhibit a weak positive association with emissions, reflecting enforcement and institutional limitations, while green technology and government effectiveness show negative but insignificant impacts. The causality findings reveal unidirectional links from environmental taxes to emissions and from emissions to government effectiveness. The results highlight the importance of strengthening renewable energy, diversifying energy sources, and enhancing institutional capacity to achieve sustainable environmental outcomes in Nigeria.
Developing an oxygen evolution reaction catalyst that exhibits both high catalytic activity and robust stability in acidic media remains a significant challenge to date. In this work, a RuZrOx/Ti-1 catalyst was successfully constructed on a Ti mesh substrate via a facile one-step pyrolysis method. Physical characterization reveals that the as-prepared RuZrOx/Ti-1 catalyst exhibits a densely packed nanosphere morphology on its surface, accompanied by abundant pores, which can provide a rich interface for the oxygen evolution reaction. The RuZrOx/Ti-1 catalyst achieves a low overpotential of only 199 mV for the OER at a current density of 10 mA·cm−2 and demonstrates excellent long-term durability, operating stably for 400 h at this current density. In summary, this work provides a viable strategy for designing high-performance acidic OER catalysts, thereby paving the way for the advancement of electrodes for water oxidation.
Wide Bandgap (WBG) semiconductors, particularly Silicon Carbide (SiC), have become pivotal in advancing high-efficiency, high-power-density systems. Cascode configurations, combining a high-voltage SiC JFET with a low-voltage Si MOSFET, enable Normally-OFF operation while leveraging SiC’s superior switching and thermal properties. However, co-packaging these devices introduces critical design challenges related to parasitic inductance, thermal management, and reliability. This study investigates the impact of bonding configuration and die-attach material selection on dynamic and thermal performance in SiC-based modules. Double Pulse Test (DPT) results reveal that direct bonding provides a better tradeoff between switching losses and dynamic operation stability, mitigating VDS overshoot, gate oscillation, and EMI risk, thereby improving switching stability under system-level stress. Conversely, indirect bonding increases inductance, amplifying oscillations and dynamic stress during turn-off events. Thermal analysis demonstrates that while system-level cooling dominates Rthja, the adoption of sintered silver (Ag) as a die-attach material achieves ~20% reduction in Rthjc, lowering junction temperatures and enhancing reliability for high-power applications. These findings underscore the importance of interconnect design and attach material optimization in achieving robust, high-efficiency operation of wide-bandgap devices.