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  • Essential oils (EOs) have emerged as promising natural antimicrobials for food safety applications. However, their direct use on food-contact surfaces—such as wood and plastic, commonly employed in artisanal cheese production—has been scarcely explored. This study aimed to evaluate the antibacterial effects of dill (Anethum graveolens) and nettle (Urtica dioica) essential oils against Listeria monocytogenes and Escherichia coli, both in culture media and on inert surfaces. EOs were extracted via steam distillation and characterized by gas chromatography–mass spectrometry (GC-MS). Antimicrobial activity was assessed using agar diffusion and minimum inhibitory concentration (MIC) assays. In addition, bacterial reduction was quantified following EO application to contaminated wooden and plastic surfaces for 40 min. Dill EO exhibited a high anethole content (63.66%), while nettle EO was dominated by limonene (38.73%). Dill EO produced larger inhibition zones against E. coli (13.7 ± 1.5 mm) and L. monocytogenes (12.3 ± 1.5 mm) compared to nettle EO (6.3 ± 0.6 mm and 8.0 ± 1.7 mm, respectively). On plastic, both EOs achieved complete inhibition of E. coli (100%) and greater than 92% reduction in L. monocytogenes. On wood, dill EO maintained high efficacy (up to 87.9%), whereas nettle EO showed limited reduction (29.3%) against L. monocytogenes. These results demonstrate that EO efficacy is influenced by both surface type and target microorganism, supporting the potential of dill EO as a natural antimicrobial agent for surface sanitation in artisanal cheese production.

    Microorganisms,

    10 February 2026

  • Ensuring a sustainable source of nutritious food is critical for long-duration space missions. Thai landrace rice 466HM exhibits high nutritional value and stress resilience, making it a promising candidate for space cultivation, yet its response to low Earth orbit (LEO) conditions remains poorly understood. This study compared rice grains maintained under terrestrial conditions with grains stored aboard the Shijian-19 (SJ-19) reusable satellite, orbiting at ~336 km for 13.5 days under microgravity (2−7 × 10−7g) and an absorbed radiation dose of ~0.153 rad (Si). Volatile compound profiling, texture analysis of cooked grains, and simulated gastrointestinal digestion followed by peptide mass fingerprinting were performed. LEO-exposed rice grains exhibited a 1.67-fold increase in adhesiveness compared to Earth-based rice (p < 0.01), while hardness remained unchanged between the two groups (p > 0.05), alongside distinct alterations in flavor-related volatile compounds and peptide profiles. Principal component analysis revealed clear separation between Earth and LEO-exposed samples, indicating microgravity-associated shifts in digestible peptide composition. Cytotoxicity assessment using MTT assays in HT-29 and HepG2 cells confirmed the safety of both rice types. These findings demonstrate that orbital conditions influence the compositional, functional, and sensory attributes of rice, providing insights relevant to space agriculture and astronaut nutrition.

    Life,

    10 February 2026

  • Chinese hamster ovary (CHO) cells are widely utilised in the biopharmaceutical industry to produce therapeutic proteins. Understanding the mechanisms of endoplasmic reticulum (ER) stress and its interplay with protein degradation pathways remains pivotal for improving production efficiency and product quality. In this study, we investigated the proteomic responses of CHO-K1 (non-producer), CHO DP-12 (IgG-producer), and NISTCHO (IgG-producer) cell lines under ER stress induced by a combination of the proteasome inhibitor MG132 and the glycosylation inhibitor tunicamycin. Viability, cell growth, and IgG titre were measured for 24 h, 48 h, and 72 h of treatment and the 48 h timepoint was used for the comparative analysis of the proteomic data across the three cell lines. Proteasome inhibition with MG132 intensified ER stress and altered ER-associated protein degradation (ERAD). Combined tunicamycin + MG132 treatment was associated with cell line-specific proteomic changes: NISTCHO upregulated ER translocation and glycoprotein quality control proteins (SSR4, SEC24C, UGGT1), CHO DP-12 activated redox/disulfide regulators (DNAJC10, CAPN1), while CHO-K1 showed broad proteome shifts, suggesting differences in baseline stress handling. These findings provide mechanistic insights into ER stress and protein quality control in CHO cells, offering a foundation for strategies to enhance cell line robustness and optimise biopharmaceutical production.

    Biomolecules,

    10 February 2026

  • Leadership is a key predictor of employees’ well-being, especially in sectors with high labor intensity and role changes, such as the hotel sector. Leadership communication can act as a major job resource element in forming positive exchanges with employees. This research investigates the influence of leadership communication on employees’ well-being in luxury hotels across five Middle Eastern countries, namely Jordan, Lebanon, Saudi Arabia, Egypt, and Bahrain. Combining social exchange theory and the job demand-resources model, the indirect effects of trust in leader as a mediator and moderating influence of socioeconomic status are examined. Using a quantitative and deductive approach and a cross-sectional survey, a total of 380 employee data was collected and analyzed using a partial least squares–structural equation modeling technique in Smart-PLS software. (version 4). The dimensions of leadership communication had a significant link with the well-being of hotel staff. While the mediating influence of trust in leader was found to be partially significant, the inclusion of socioeconomic status as a moderator complements the findings. The results suggest that while appropriate leadership communication is essential and can establish trust, the socioeconomic status of employees in the high-demand, low-resource hotel sector is a crucial matter. The findings can be beneficial for scholars looking into regional and sectoral assessment as well as practitioners seeking to improve employees’ well-being in the Middle Eastern hotel sector.

    Adm. Sci.,

    10 February 2026

  • Background: Cryptococcal meningitis (CM) remains a leading cause of mortality among people with advanced HIV disease (AHD) in sub-Saharan Africa. Current guidelines recommend induction therapy with amphotericin B and flucytosine, typically administered in an inpatient setting due to concerns over severe clinical presentation and drug-related toxicities. This requirement poses a significant burden on resource-limited health systems. We evaluated the real-world outcomes of a fully outpatient model for CM therapy in Maputo, Mozambique. Methods: A longitudinal retrospective cohort study was conducted at the Centro de Referência de Alto-Maé (CRAM), a specialized AHD outpatient clinic. We included 83 PLWH with laboratory-confirmed CM treated between October 2020 and December 2024. The primary outcome was hospitalization-free survival (HFS) within the first 10 weeks of treatment. Secondary outcomes included the frequency and severity of adverse drug reactions (ADRs), analysed by tracking haemoglobin (Hgb), potassium (K+), and creatinine (Creat) levels on days 1, 3, and 7 of induction therapy, and retention in care (RIC) at 6, 12, and 24 months. Statistical analyses included Kaplan–Meier survival estimates and paired t-tests. Results: The median age was 37 years (IQR: 27–42), 63.9% were male, and the median CD4 count was 62 cells/µL (IQR: 27–105). Most patients (95.2%) were symptomatic at presentation, and 56.6% had concurrent tuberculosis. For the 52 patients who completed the full induction protocol at CRAM, the HFS rate at 10 weeks was 84.6% (44/52), with an overall survival of 90.4% (47/52). ADR analysis (n = 52) showed a predictable pattern of mild, manageable toxicity: a significant decline in Hgb (11.2 ± 1.8 to 10.6 ± 2.0 g/dL, p < 0.001) and K+ (4.27 ± 0.66 to 3.86 ± 0.78 mmol/L, p = 0.008), and a transient increase in Creat (0.83 ± 0.42 to 1.13 ± 0.64 mg/dL, p = 0.001) from day 1 to day 3, with stabilization or a trend toward recovery by day 7. No significant differences in ADRs were found between single-dose (47%) and multiple-dose (53%) L-AmB regimens. RIC for the entire cohort (n = 83) was high at 81.9% at 6 months, declining to 74.0% at 12 months and 70.4% at 24 months. Conclusions: An ambulatory model for CM therapy is feasible and effective in a resource-limited setting, demonstrating high hospitalization-free survival, manageable and reversible adverse drug reactions, and excellent medium-term retention in care. These findings suggest potential benefits and provide support for re-evaluating the standard of inpatient care. They indicate that integrating outpatient CM management into advanced HIV disease (AHD) care packages could help alleviate health system burdens and may contribute to improved patient outcomes.

  • The Information Dynamics of Generative Diffusion

    • Dejan Stančević and
    • Luca Ambrogioni

    Generative diffusion models have emerged as a powerful class of models in machine learning, yet a unified theoretical understanding of their operation is still developing. This paper provides an integrated perspective on generative diffusion by connecting the information-theoretic, dynamical, and thermodynamic aspects. We demonstrate that the rate of conditional entropy production during generation (i.e., the generative bandwidth) is directly governed by the expected divergence of the score function’s vector field. This divergence, in turn, is linked to the branching of trajectories and generative bifurcations, which we characterize as symmetry-breaking phase transitions in the energy landscape. Beyond ensemble averages, we demonstrate that symmetry-breaking decisions are revealed by peaks in the variance of pathwise conditional entropy, capturing heterogeneity in how individual trajectories resolve uncertainty. Together, these results establish generative diffusion as a process of controlled, noise-induced symmetry breaking, in which the score function acts as a dynamic nonlinear filter that regulates both the rate and variability of information flow from noise to data.

    Entropy,

    10 February 2026

  • Sustainability in Fashion Industry: A View Through the Top Ten Multinational Strategies

    • Isabel-María García-Sánchez and
    • Maite Carnicero-Martínez

    Climate change threatens the future of the next generations and is already causing widespread destruction in the present through an increasing number of natural disasters. A new model of production and consumption based on sustainability is required, especially in the fashion industry—the second most polluting sector in the world. Therefore, in order to determine whether these companies contribute to people’s and the planet’s well-being, it is necessary to understand their practices. To this end, we analyse the sustainable practices of the sector by studying the ten most responsible fashion companies according to the BoF Sustainability Index, that is based on the methodology of content analysis applied to case studies. To do this, we have defined a taxonomy of the ten most common sustainability strategies and practices: stakeholder engagement, strong governance and transparency, decarbonisation, biodiversity conservation and restoration, circularity, reducing waste and pollution from the use of plastics, eliminating hazardous chemicals, preserving water quality, diversity, equity and inclusion policies, supply chain responsibility, and supporting the communities in which companies operate. The results show that major business groups have integrated axes into their sustainability strategies that address the industry’s primary social and environmental challenges. These plans are based on ambitious goals that go beyond stakeholder demands and the generation of economic benefits.

    Adm. Sci.,

    10 February 2026

  • Inflammation, Organ Failure, and the Path to Surgery in Acute Pancreatitis

    • Oprescu Macovei Anca Monica,
    • Dana Paula Venter and
    • Ilie Madalina
    • + 7 authors

    Background and Objectives: Early identification of patients with acute pancreatitis (AP) who will require operative intervention remains a major clinical challenge. Traditional severity scores and delayed inflammatory biomarkers offer limited early predictive accuracy. This study aimed to evaluate the combined predictive value of IL-6, necrotic burden, and organ failure parameters for determining the need for surgical management in AP. Materials and Methods: We performed a retrospective cohort study of 325 consecutive patients with AP admitted to Floreasca Emergency Hospital between January 2020 and December 2024. Clinical, laboratory, and imaging parameters were collected, including IL-6 at 24 h, CRP at 48–72 h, SOFA and BISAP scores, and morphologic complications. The primary endpoint was the requirement for operative intervention. Univariate and multivariable logistic regression analyses were conducted, and model performance was assessed using ROC curves and calibration testing. Results: Sixty patients (18.5%) underwent surgery for pancreatitis-related complications. Operated patients demonstrated higher IL-6 levels (median 120 vs. 55 pg/mL), necrosis >30% (68.3% vs. 14%), infected necrosis (55% vs. 2.3%), and persistent organ failure (46.7% vs. 9.8%) (all p < 0.001). In multivariable analysis, IL-6 at 24 h (OR 1.35 per 50 pg/mL), necrosis > 30% (OR 4.80), infected necrosis (OR 6.20), persistent organ failure ≥48 h (OR 2.60), SOFA score (OR 1.18 per point), and CRP at 48–72 h (OR 1.09 per 50 mg/L) independently predicted surgery. The final model showed excellent discrimination (AUC 0.88) and good calibration. Conclusions: IL-6-driven inflammatory escalation, combined with necrotic burden and persistent organ dysfunction, provides a robust early predictive framework for identifying AP patients likely to require surgical intervention. Integration of these parameters may improve triage, timing of intervention, and multidisciplinary decision-making in acute pancreatitis.

    Medicina,

    9 February 2026

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