Search Results (3,239)

Background/Objectives: Seasonal waves of respiratory viruses—including SARS-CoV-2, influenza A virus (IAV), and respiratory syncytial virus (RSV)—continue to pose a global health burden and highlight the need for antiviral agents that are effective, safe, broadly active, affordable, and widely accessible. Current interventions are limited by the need for their early administration, the risk of resistance, their costs, and the restricted availability in large parts of the world. For certain natural products, such as European black elderberry (Sambucus nigra L.) fruit extract (ElderCraft^®; EC) and the seaweed-derived sulfated polymer iota-carrageenan (IC), antiviral activities against respiratory viruses, particularly IAV and SARS-CoV-2, have previously been shown. Here, we assessed the antiviral activity of IC and an anthocyanin-standardized EC extract against SARS-CoV-2, IAV, and RSV, either as monotherapy or in multiple-dose combinations. Methods: MDCKII cells were infected with IAV_PR8, human Calu-3 lung epithelial cells with the SARS-CoV-2 Omicron variant, and HEp-2 cells with RSV (A2 strain). Inhibitors were administered either by pre-incubation of cell-free virions prior to infection or, in separate time-of-addition experiments, during or post-infection. Viral replication was quantified by qRT-PCR or intracellular immunostaining. Cytotoxicity was evaluated using a neutral red uptake assay. Results: Most intriguingly, both EC and IC are able to neutralize virions derived from SARS-CoV-2, IAV, or RSV extracellularly in a dose-dependent manner. Notably, EC and IC alone exhibited strong anti-RSV activity, which was not reported previously. Most importantly, combined treatment with IC and EC caused a pronounced synergistic antiviral effect against the tested viruses, as confirmed by the Bliss independence model, without any detectable impact on cell viability. Finally, solutions prepared from matrix-standardized mono- or combi-lozenges, containing IC and/or EC in high or low doses, reproduced the antiviral and synergistic combination effects observed with the pure compounds. Conclusions: In summary, these findings support further development of EC and IC as a topically accessible, virion-neutralizing combination (e.g., lozenges) to provide additional protection against major respiratory viruses and potentially strengthen pandemic preparedness. Full article

Consolidated Bioprocessing (CBP) is a promising technology that integrates enzyme production, biomass hydrolysis, and sugars fermentation. However, CBP is underexplored from a process engineering point of view. Considering that cell recycling can increase process economic viability and that the selection of a bioreactor is a key factor to ensure process effectiveness, this study demonstrates the feasibility of recycling cells during sugarcane bagasse CBP by using magnetic immobilized enzyme producer yeast and a low shear stress vortex flow bioreactor. In the first step, Ca-alginate immobilized strains achieved good productivities (0.48 g/L/h) and 5.7 g/L of ethanol in only 12 h, but cell recovery was hindered by residual solids. To overcome this limitation, magnetic particles were incorporated into the spheres, allowing for rapid post-fermentation, maintaining ethanol production and productivity (6.1 g/L and 0.51 g/L/h). Three repeated batches were successful performed (producing an average of 5.5 g/L of ethanol, 0.46 g/L/h) with complete cell recovery from the remaining solid after biomass hydrolysis, maintaining high cell viability and bead integrity, highlighting the robustness of the immobilization strategy and the suitability of the bioreactor for the process. The successful cell recovery accomplished overcomes a fundamental limitation of bioprocesses carried out in the presence of solids. This strategy represents an important step for biorefineries development, with potential applicability to other bioprocesses using solid substrates. Full article

The rapid growth of Internet of Things (IoT) deployments in hybrid terrestrial/non-terrestrial networks (TN/NTN) faces a major bottleneck: the verbosity of standard data formats like JSON. This is critical for large-scale M2M systems tracking and monitoring multimodal dry containers, where devices must comply with the strict message-size limits of commercial satellite IoT (around 160 bytes per message). We present a comparative evaluation of four device-friendly binary serialization protocols (CBOR, MessagePack, Protocol Buffers, and a custom Struct+Zlib hybrid) targeted at battery-powered microcontrollers. Using a horizontally scalable testbed with up to 2000 concurrent devices and the oneM2M standard framework, we assess payload efficiency, throughput, latency, and maintainability. Only Protocol Buffers and Struct+Zlib meet NTN message-size limits, with Protocol Buffers providing the best trade-off between performance and long-term maintainability. Real-world validation with the Astrocast LEO satellite platform and the oneM2M Mobius framework confirms these results. Cost analysis suggests potential savings exceeding €62,000 per month for a 10,000-device maritime fleet, demonstrating both technical feasibility and economic viability. This study provides a methodological framework for designing efficient, scalable IoT systems in hybrid TN/NTN networks, offering practical guidance for global container tracking and monitoring deployments. Full article

Background/Objectives: Non-small-cell lung cancer (NSCLC) involves oxidative stress and inflammation, driving chemoresistance. Paclitaxel (PTX), a first-line chemotherapy, is limited by these factors. Danggui Buxue Tang (DBT), a polyphenolic-rich traditional Chinese herbal formula, was investigated for its ability to potentiate PTX efficacy by inducing ferroptosis via the Nrf2/GPX4 axis. Methods: Effects of DBT + PTX on cell viability, lipid peroxidation, iron accumulation, and Nrf2/GPX4/SLC7A11 expression were evaluated in A549/HCC827 cells with/without ferrostatin-1 (Fer-1). Findings were validated in an A549 xenograft model. Results: DBT significantly enhanced PTX’s anti-tumor effects in vitro and in vivo, an effect reversed by Fer-1. Combination therapy increased ROS, MDA, and iron while suppressing GPX4/SLC7A11 and promoting Nrf2 nuclear translocation. DBT + PTX synergistically reduced tumor volume and proliferation markers (Ki67/PCNA). Crucially, DBT attenuated PTX-induced hepatotoxicity and nephrotoxicity. Conclusions: DBT potentiates PTX efficacy in NSCLC by disrupting the Nrf2/GPX4 axis to induce ferroptosis while mitigating chemotherapy-related toxicity, supporting its potential as an adjuvant strategy targeting oxidative stress pathways. Full article

The effective treatment of neurodegenerative diseases (NDDs), such as Alzheimer’s disease, Parkinson’s disease, and amyotrophic lateral sclerosis, remains a critical challenge in modern medicine. Given the limitations of current therapies, alternative strategies to slow neurodegeneration are urgently needed. This study presents a critical review of the current evidence regarding low-dose ionizing radiation (IR) as a promising modality for modulating neurodegenerative processes. This study examines current experimental data on the effects of low-dose IR (LDIR) on cellular protective and compensatory mechanisms, including evidence from in vivo models of NDDs. Our analysis demonstrates that LDIR enhances antioxidant activity and DNA repair, stimulates autophagy and neuroplasticity, and modulates neuroinflammatory signaling. Collectively, these findings support the hypothesis of the neuroprotective potential of LDIR, underscoring its translational viability provided that strict dosimetric guidelines are followed and individual biological responses are rigorously monitored. Full article

Neurodegenerative diseases involve progressive neuronal loss associated with oxidative stress (OS) and inflammation. Given the limited efficacy of current therapies, natural compounds with multitarget neuroprotective potential are of growing interest. In this study, we investigated the neuroprotective effects of a standardized Magnolia officinalis (L.) bark extract (MOE) in rat brain cortical slices exposed to hydrogen peroxide-induced OS. MOE significantly recovered tissue viability and reduced ROS and malondialdehyde levels caused by OS while attenuating caspase-3, -8, and -9 activation, suggesting modulation of intrinsic and extrinsic apoptotic pathways. Shotgun proteomics using LC-HRMS/MS identified OS-induced protein expression changes reversed by MOE, with fourteen of thirty-three altered proteins rescued by MOE co-treatment. These proteins participate in several processes, including neuronal survival, OS response, and proteostasis. Bioinformatic analysis demonstrated that genes responsible for protein synthesis regulated by MOE are subjected to transcriptional regulation by factors associated with OS, including FOXO4, NRF2, and SP1. The present findings support the hypothesis that MOE exerts multitarget neuroprotective effects by modulating key proteins involved in OS responses and neuronal survival in an acute ex vivo oxidative injury model, suggesting potential relevance for mechanisms associated with NDs. Full article

The transition toward capacity-based network tariffs shifts the primary role of battery energy storage systems (BESS) from traditional energy arbitrage to active peak shaving. This paper presents a mixed-integer linear programming (MILP) optimization model for the co-optimization of both BESS size and operation scheduling for multiple prosumers operating individually and within an energy community (EC). Battery aging is accounted for in the optimization model through the state of health (SOH). The framework is evaluated by a comprehensive techno-economic analysis of BESS integration under Slovenia’s multi-block tariff structure. The results demonstrate that while individual distributed BESS integration is highly profitable, centralized EC BESS financially underperforms. Because centralized BESS cannot directly reduce individual contracted power limits, its profitability relies on energy arbitrage, making the initial investment and double grid fees the primary barriers. Conversely, integrating distributed storage with peer-to-peer (P2P) trading minimizes the required BESS capacity while maintaining profitability. The evaluation also reveals that ECs do not automatically act as socio-economic equalizers, indicated by a stable Gini coefficient. However, a break-even analysis reveals the necessary reduction in capital costs to overcome these hurdles, confirming the strong future viability of centralized EC BESS. Full article

Uterine malformation represents a rare disease with a prevalence of up to 7% of the general population. Background/Objectives: Higher pregnancy complication rates have been reported in the literature; thus, in our study, we aimed to examine not only the obstetric complications encountered but also the psychological interventions and multidisciplinary approaches for parental counseling in our department in the context of preterm birth at the limit of viability. Methods: A retrospective pilot study was conducted on all the women in our department between 2010 and 2017 with congenital uterine malformations associated with infertility or pregnancy. In the study group, we included women with AUCs (n = 26), while the control group included pregnant women with normal uteri (n = 25) (total: n = 51), and then pregnancy complications were investigated. Results: Highly significant pregnancy complications were observed in the study group, the most important being preterm birth (p = 0.003) in comparison with the control group. Out of 26 patients with AUCs, only 14 gave birth to a live fetus compared to 22 out of the 25 with normal pregnancies, meaning that failure to give birth to a live newborn statistically significantly increased among the former group (p = 0.004). In terms of birth weight (p = 0.0001), Apgar score (p = 0.029) and intensive care unit admission (p = 0.0001), we observed significant differences between the newborns in the study group versus controls, with an impact on mental state that required psychological support. Conclusions: A clear correlation was observed in our study between uterine congenital malformations and pregnancy complications. The most common pregnancy outcome was premature delivery, with statistical significance. In addition, higher neonate admissions to the intensive care unit associated with lower Apgar scores were encountered compared with normal pregnancies. Appropriate parental counseling by obstetricians, neonatologists and psychologists could enhance pregnancy outcomes. Full article

Meat quality serves as a pivotal determinant of consumer purchasing behavior and of the economic viability of the livestock industry; as such, research into its regulatory mechanisms is of critical significance for the development of modern agriculture. Traditional investigations into meat quality have predominantly centered on sensory and physicochemical assessments of ultimate phenotypic traits, thereby facing inherent limitations in systematically deciphering the intricate molecular regulatory networks underlying meat quality formation. By contrast, an integrated analysis of the transcriptome and metabolome effectively connects the cascade of “gene transcription—metabolic regulation—phenotypic determination,” which has emerged as a core methodological paradigm in contemporary research on the molecular mechanisms governing meat quality. This review systematically delineates the evolutionary trajectory and principal technological frameworks of meat quality evaluation systems, with a focused synthesis of recent advances achieved through combined transcriptomic and metabolomic analyses in the field of meat quality regulation. The scope of this review encompasses core transcriptional regulatory networks associated with meat quality attributes, pivotal metabolic pathways, signal transduction mechanisms, and protein degradation dynamics. Furthermore, the regulatory impacts exerted by genetic variation among breeds, nutritional modulation, rearing environments, and stress responses on meat quality characteristics are comprehensively elucidated. Integrative analysis reveals that combined transcriptome–metabolome approaches transcend the inherent limitations of single-omics investigations, systematically unraveling the hierarchical regulatory mechanisms governing fundamental meat quality traits, such as muscle fiber type differentiation, postmortem glycolytic progression, intramuscular fat deposition, and flavor compound accumulation. Such integrative strategies have facilitated the identification of functional genes and metabolic biomarkers with potential utility for the early prediction of meat quality outcomes. Concurrently, this review acknowledges persistent challenges confronting the field, including the absence of standardized protocols for multi-omics data integration, insufficient functional causal validation, and a discernible disconnect between research discoveries and practical industrial implementation. Building upon this comprehensive assessment, prospective directions for future multi-omics research in meat quality are proposed, accompanied by the formulation of an integrated end-to-end improvement framework spanning fundamental research, technological innovation, and industrial application. Collectively, this review provides a systematic theoretical foundation for the in-depth elucidation of mechanisms that determine meat quality and the precision-oriented regulation of quality-determining traits in livestock production practices, thereby offering substantial scientific guidance for quality improvement initiatives within the animal husbandry sector. Full article

Phyllanthus emblica (amla) exhibits anticancer activity, but its extracts often suffer from poor stability and bioavailability. This study developed amla extract-loaded niosomes to enhance delivery and evaluate their anticancer activity against MCF-7 and HCT116 cell lines, supported by in silico analyses. Methodology: Amla extract was prepared using a 50% aqueous–alcoholic solvent system and lyophilized. Niosomes were prepared by the thin-film hydration method and characterized for physicochemical properties. Anticancer activity was evaluated through in vitro cytotoxicity studies, supported by molecular docking and in silico pharmacokinetic analyses. Results: Optimized niosomes exhibited spherical morphology, good homogeneity (PDI < 0.30), anionic surface charge, high entrapment efficiency (70.5 ± 5.9%), and sustained diffusion-controlled release. In vitro cytotoxicity demonstrated a strong concentration-dependent anticancer activity of amla-loaded niosomes across a range of concentrations (31.25–1000 µg/mL) against both MCF-7 and HCT116 cell lines. At 1000 µg/mL, cell viability decreased to 7.0% and 5.4% in MCF-7 and HCT116 cells, respectively, with calculated IC₅₀ values of 245 µg/mL and 158 µg/mL. Molecular docking and pharmacokinetic predictions supported the potential multi-target anticancer relevance of major phytochemicals, including hydrolyzable tannins, phenolic acids, flavonoid aglycones and glycosides, and highlighted bioavailability limitations for certain high-affinity glycosylated flavonoids, reinforcing the rationale for vesicular encapsulation. Conclusions: Amla extract-loaded niosomes represent a promising vesicular system for enhanced, sustained delivery of anticancer activity in vitro, with complementary in silico findings supporting mechanistic plausibility and translational rationale. Further studies are warranted to evaluate their performance in vivo. Full article

Repurposing decommissioned wind turbine blades provides a vital pathway to mitigate carbon emissions, yet the escalating volume of large-scale waste poses a severe environmental challenge. Recognizing the limitation that existing research focuses predominantly on small-scale legacy blades, this study addresses this gap by assessing the mechanical properties and microstructure of a 54-m (2.0 MW) blade decommissioned due to repowering after 10 years of service. GFRP samples extracted from the root, mid-span, and tip were investigated using X-ray computed tomography and a comprehensive suite of mechanical tests. The investigation confirmed a low internal porosity (~1.2%) without service-induced macroscopic interfacial cracking, alongside superior residual performance, exemplified by a tensile strength of 849.5 MPa at the root. Statistical analysis employing ANOVA revealed significant spatial variations, supporting a graded reuse strategy: roots with superior tensile strengths for critical members, mid-spans for axial compression, and tips as a reliable property baseline for general reuse, while Weibull analysis verified the statistical reliability required for structural design. Based on these superior residual properties, a raft-type wave energy converter utilizing repurposed blade segments was proposed. A comparative carbon footprint assessment revealed that this blade-repurposed WEC achieved a 71.5% reduction in carbon emissions and a 37.4% reduction in structural mass compared to conventional steel counterparts. These findings substantiate the viability of large-scale DWTBs as high-value resources for decarbonizing marine infrastructure within a circular economy. Full article

Binary-cycle geothermal plants are inherently limited by thermodynamics, forcing operators to reinject fluids at temperatures that are still valuable for direct heating. This process results in substantial exergetic waste. While prior research has examined efficiency at the level of individual plants, this study introduces a regional-scale framework to convert these facilities into multi-purpose energy hubs. The research focuses on Türkiye’s Western Anatolia Graben, a region with high geothermal activity that, paradoxically, remains dependent on fossil fuels. By combining meteorological records with operational plant data, we evaluated the existing housing stock of 983,277 residences across 14 districts and modeled the heating requirements for a targeted capacity of 468,719 residences that the proposed system can serve. The results indicate that the currently wasted thermal load in 10 specific districts, including key centers such as Sarayköy and Alaşehir, is sufficient to cover peak winter heating demands without fossil fuel backup. Although the infrastructure requires a significant initial investment of $4.51 billion, the project demonstrates long-term viability with a Levelized Cost of Heat (LCOH) of 62.94 USD/MWh and a payback period of 10.43 years. Beyond economic considerations, the system serves as a major decarbonization tool, capable of cutting residential CO₂ emissions by 1.7 million tons annually (a 47.7% reduction). These findings suggest that policy incentives should move away from electricity-only models toward integrated reservoir management to maximize resource efficiency. Full article

This study proposes a machine learning framework tailored to the institutional characteristics of Taiwan’s stock market, aiming to enhance forecasting accuracy for the Taiwan Stock Exchange Capitalization Weighted Stock Index (TAIEX). The model employs the Radius Neighbors Regressor with a dynamic radius-based similarity measure and integrates domain-specific features including technical indicators, volume–price relationships, and Qualified Foreign Institutional Investor (QFII) activity. A custom 60-day input window with a 20-day forecast horizon is applied to capture medium-term market dynamics. The framework was evaluated through extensive backtesting and real-world validation with the TAIEX Futures. The results demonstrate that the model achieves a peak directional accuracy of 85.1% under optimal parameter settings. Moreover, trading simulations confirm its practical viability, yielding a cumulative return on investment (ROI) of approximately 1600% during the short-term evaluation period (2023–2025) and nearly 2000% in the long-term evaluation (2019–2025), even after accounting for transaction costs and stop-loss mechanisms. These findings indicate that combining historical pattern similarity with institutional investor behavior substantially improves predictive power and profitability. Nevertheless, the framework remains constrained by its reliance on Taiwan-specific institutional features and historical trading data, limiting generalizability. Future research should extend applications to other markets while incorporating macroeconomic variables, corporate fundamentals, and news-driven signals to enhance adaptability. Full article

Short food supply chains (SFSCs) for artisan dairy products promote rural development, cultural preservation, and consumer trust but face challenges not found in mainstream chains. This study focuses on queso Tenate, a traditional cow-milk cheese from central Mexico, and examines how its SFSC organisational structure influences its capacity to ensure food safety, quality consistency, market delivery, and viability. Using a single-case exploratory design, the study applies the Viable System Model (VSM) as a diagnostic framework to map systemic functions within an artisan dairy enterprise. Data were collected through VSM-informed interviews and observations of production and retail practices. The findings show that food safety, quality performance, and market delivery reliability are structurally mediated by systemic coherence, not product characteristics alone. While strong relational coordination and shared identity sustain viability, several functions—particularly coordination, audit, and intelligence—remain person-dependent. This study identifies structural implications for strengthening regulatory coordination and monitoring practices without undermining relational management or artisan identity. The primary contributions are as follows: (i) extending SFSC research through a systemic diagnosis of an artisan dairy chain in an emerging economy; (ii) linking VSM-based organisational study to food safety, quality consistency, and market performance; and (iii) positioning VSM as a conversational tool for SFSC viability. Limitations include the single-case design, reliance on qualitative data, and absence of longitudinal measurements. Future research should compare VSM applications across multiple SFSCs, integrate quantitative analyses, and explore its use as a management tool. The study highlights the role of systemic coherence in ensuring SFSC sustainability and cultural embeddedness. Full article

The economic viability of livestock manure as a green agricultural input is a key determinant of growers’ adoption decisions, yet evidence on its income effects across cropping types remains limited. This study uses field survey data from growers in Jiangsu Province, China, and employs a Propensity Score Matching (PSM) method to construct a counterfactual analysis framework. We assess the impact of manure application on farm income using two core indicators: income per mu (a Chinese unit of area, approximately 0.067 hectares) and total household agricultural income. The findings demonstrate that: (1) Livestock manure application significantly increases both average income and overall household agricultural income. Cooperative membership and access to technical training significantly promote the adoption of livestock manure. (2) The income effect exhibits significant heterogeneity across crop types: vegetable and fruit growers benefit most, followed by seedling growers, while grain growers gain relatively less. By systematically comparing three cropping types, this study extends the single-crop-focused literature and provides empirical evidence for designing targeted, crop-specific policies. These findings inform the differentiated fiscal incentives and cooperative-based extension strategies proposed in this paper to enhance manure utilization efficiency in sustainable agriculture. Full article