Advancing Open Science

The source region of the Yellow River on the Tibetan Plateau constitutes a critical ecological security barrier and a key water-conservation region, where permafrost dynamics exercise primary control over ecosystem stability and hydrological processes. Although observations document intensifying freeze–thaw processes under climate warming, the historical and future evolution of maximum freezing depth, abbreviated as MFD, in the source region of the Yellow River remains poorly constrained. Using ground-temperature and meteorological records from 15 stations for 1981–2014, we estimated MFD with a Stefan-type formulation, assessed trend significance using the Mann–Kendall test and Sen’s slope, and characterized changes through 2100 using CMIP6 projections under four shared socioeconomic pathways: SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5. We found a strong inverse association between MFD and annual mean ground temperature, such that a 1 °C increase corresponds to an average decrease of approximately 13.2 cm. Historically, MFD has progressively shallowed and exhibits a clear meridional gradient—deeper in the north and shallower in the south; low-value zones declined from 0.75 to 0.50 m, whereas high-value zones decreased from 2.92 to 2.83 m. Across future scenarios, MFD continues to shallow; the strongest signal occurs under SSP5-8.5, yielding an additional decline of approximately 42 percent relative to the historical baseline, with degradation most pronounced at lower elevations. These findings provide actionable guidance for understanding ecohydrological processes and for water resource management in the source region of the Yellow River under climate warming.

Microscopic wood images are vital in wood analysis and classification research. However, the high cost of acquiring microscopic images and the limitations of experimental conditions have led to a severe problem of insufficient sample data, which significantly restricts the training performance and generalization ability of deep learning models. This study first used basic image processing techniques to perform preliminary augmentation of the original dataset. The augmented data were then input into five GAN models, BGAN, DCGAN, WGAN-GP, LSGAN, and StyleGAN2, for training. The quality and model performance of the generated images were assessed by analyzing the degree of fidelity of cellular structure (e.g., earlywood, latewood, and wood rays), image clarity, and diversity of the images for each model-generated image, as well as by using KID, IS, and SSIM. The results showed that images generated by BGAN and WGAN-GP exhibited high quality, with lower KID values and higher IS values, and the generated images were visually close to real images. In contrast, the DCGAN, LSGAN, and StyleGAN2 models experienced mode collapse during training, resulting in lower image clarity and diversity compared to the other models. Through a comparative analysis of different GAN models, this study demonstrates the feasibility and effectiveness of Generative Adversarial Networks in the domain of small-sample image data augmentation, providing an important reference for further research in the field of wood identification.

In this work, we propose a simple analytical/semi-analytical approach to solve various φ,ψ-fractional partial differential equations (φ,ψ-FPDEs) using initial and boundary conditions (ICs, BCs) depending on the φ,ψ-Double Elzaki transform (φ,ψ-DET) method. The suggested approach takes advantage of a DPET modification that works well with φ,ψ-fractional operators. The proposed method not only solves the φ,ψ-FPDEs but also reduces them to a more straightforward algebraic recurrence issue. This simple yet powerful idea can be used to solve φ,ψ-FPDEs in science and engineering. We contrast the outcomes of the stated computational examples with exact solutions in order to verify the exactness and efficacy of this methodology.

Gold nanoparticles (AuNPs) are promising for biomedical applications, but their synthesis often requires toxic reagents. “Green” methods utilizing biopolymers offer a sustainable alternative. This study presents a novel synthesis of stable gold nanoparticles using a disulfide-crosslinked derivative of alginic acid (AA–S–S–AA) as both a reducing agent and stabilizer. The S–S-cross-linked alginate was synthesized with a degree of substitution of ~4.2% and reacted with HAuCl₄ in water at room temperature for just 10 min to give stable and polysaccharide in situ modified gold nanoparticles (AA-AuNPs). The resulting AA-AuNPs were characterized by a surface plasmon resonance peak at 539 nm and exhibited good colloidal stability over 14 days. Electron microscopy revealed spherical nanoparticles with a bimodal size distribution (10 nm and 75–100 nm) and a visible polysaccharide shell (5–9 nm), confirming effective stabilization. X-ray photoelectron spectroscopy confirmed the presence of metallic gold (Au⁰) and Au¹⁺. NMR analysis indicated the oxidation of disulfide groups to sulfonic acid during synthesis. The nanoparticles demonstrated a high negative zeta-potential of −53.9 mV, attributable to the polyanionic alginate corona, ensuring strong electrostatic stabilization. This work establishes sulfur-modified alginic acid as an efficient platform for the rapid synthesis of stable, hybrid nanoparticles for potential use in catalysis and biomedicine.

Since it is expensive and takes considerable time to synthesize a new drug or improve an old one, a drug carrier can be used instead for control and targeted release of the drug. In this study, hydrogel beads were used as drug carriers for the controlled release of doxorubicin hydrochloride. Aiming to incorporate doxorubicin hydrochloride into hydrogel, various metal crosslinked alginate beads were prepared. Doxorubicin hydrochloride was incorporated by adsorption into the beads and studied the factors affecting the adsorption of drug onto the hydrogel beads. The results showed that ferric crosslinked alginate (Fe(III)–Alg) and stannous crosslinked alginate (Sn-Alg) hydrogel beads had a better adsorption percentage which was more than 21%. The amount of hydrogel, time, drug concentration, and pH of the solution all influenced the adsorption percentage. Hence, the adsorption was the best at neutral pH after 24 h when 100 mg of Fe(III)–Alg was added to the drug. Moreover, the release of the drug at different body simulation pH was investigated. The time and pH of the solution influenced the drug release where maximum drug release percentage was 82.822% after 25 h when the solution’s pH was 1.52. This system is assumed to follow the Higuchi kinetic release model.

Eagle Syndrome (ES), characterized by an elongated styloid process, has a vascular variant that risks cerebrovascular complications due to Internal Carotid Artery (ICA) compression. The role of pre-existing ICA anatomical variations (tortuosity, kinking, looping) in modulating this risk is unclear. This study aimed to explore the relationship between vascular ES, ICA variants, and thromboembolic risk. We conducted an observational retrospective study on 37 confirmed vascular ES patients in Messina, Italy (2019–2024), collecting data on styloid length, ICA variant type, and the CHA₂DS₂-VASc score. ICA anomalies were highly prevalent (96% of arteries). Crucially, while no correlation was found between styloid length and the CHA₂DS₂-VASc score, a statistically significant association was detected between the ICA anatomical variant type and the CHA₂DS₂-VASc score (Fisher’s exact test p = 0.024). This suggests that ICA morphology, rather than styloid length alone, is associated with an elevated thromboembolic risk profile in vascular ES patients, emphasizing the need for detailed CT angiography evaluation to guide personalized management.

Bovine viral diarrhea (BVD) is a highly infectious disease with a global distribution caused by the bovine viral diarrhea virus (BVDV), primarily affecting cattle. Dairy farms play a central role in the persistence and spread of BVDV in Italy, making control strategies and genetic studies essential to reduce its circulation. This work aimed to identify and characterize the genotype and subgenotype of BVDV infecting cattle in a specific area of Sardinia. Ten BVDV Sardinian strains were isolated and sequenced from the blood of infected cattle collected into EDTA tubes during outbreaks between 2018 and 2024. Then, to characterize the isolates, phylogenetic and variant analyses were performed on the entire collection of BVDV genomes available to date in GenBank. All Sardinian isolates were assigned to the BVDV-1b subgenotype. Except for two divergent strains, the isolates clustered into a distinct monophyletic clade characterized by 61 exclusive variants absent in all other analyzed sequences. These findings point to the existence of a distinct Sardinian genomic signature. Moreover, among these mutations, 19 missenses distributed on genes encoding the E1, E2, Core, NS3, NS4B and NS5A proteins could have a relevant functional impact, given the role these proteins play in the virus life cycle and in interaction with the host.

Riparian ecosystems provide key ecosystem services, yet their degradation is accelerating under growing human pressures. This study performs a systematic and bibliometric assessment to identify global trends in riparian restoration, specifying three objectives: (i) analyze the temporal evolution of scientific production, (ii) evaluate geographical patterns and North–South asymmetries, and (iii) identify dominant restoration approaches and research gaps. A total of 322 documents (1984–2025) were analyzed using productivity indicators, Lotka-based authorship patterns, co-authorship networks, keyword co-occurrence, and a logistic growth model fitted to annual publication counts, combined with descriptive statistics. Annual scientific output showed a steady 4% growth, while 78.2% of studies were led by institutions in the Global North, mainly in North America (39.1%), Europe (17.8%), and Asia (18.5%), highlighting geographical biases and limited representation of tropical regions. Restoration efforts were centered on natural regeneration and tree planting, with less emphasis on cultural ecosystem services and community participation. Despite scientific advances, challenges persist in adopting adaptive and socio-ecologically grounded approaches, especially in underrepresented regions. Strengthening science–policy links, promoting interdisciplinary collaborations, and expanding community involvement are essential to enhance riparian resilience and sustainability. We call for co-creation processes that integrate traditional knowledge and position local communities as partners in restoration efforts.