Search Results (18,874)

In order to tackle the problems caused by invasive alien plant species, it is important to know what the main groups that have the largest influence on the spreading of the species, know and think about them. Nation-wide questionnaire surveys were carried out in Hungary between 2016 and 2019 among three important stakeholder groups (local governments, national park directorates (NPDs), and state forestry units (SFUs)) of tree of heaven (Ailanthus altissima). The aim of the surveys was to reveal the perception of the three groups about Ailanthus altissima, their experiences with eradication, and other needs for its successful management of the species. Besides basic statistical methods, the chi² test, Fisher’s exact test, Cramer’s V value, and Mann–Whitney U test were conducted to compare groups and reveal relationships between different variables. 221 local governments, 10 NPDs, and 110 SFUs filled in the questionnaire. The response rate was quite low for local governments (8,8%) and high for NPDs (100%) and SFUs (97.5%). Our findings show that the species was recognised by only 59% of respondents representing local governments. Further results are presented regardingthis subsample.The negative impacts of Ailanthus altissima were perceived in all three groups at a higher rate (over 95% in all three groups) than positive impacts (local governments: 63%, NPDs: 10%, SFUs: 35%). The two groups managing forest areas (NPDs and SFUs) ranked the problems caused by the species high (the median was −4 for both groups on a −5–+5 scale). Ailanthus altissima was present in the areas of at least 80 percent in each examined group. In areas where the species was present, eradication was applied in a significantly higher percent of NPDs (86%) and SFUs (88%) than regarding local governments (36%), and the same tendency was found for using mechanical and chemical methods (p < 0.05). The two groups managing forest areas also applied biological methods, although at a lower rate (NPDs: 10%, SFUs: 14%). The unit costs and area of eradication varied between NPDs and SFUs, but the difference was not significant between the two groups (p = 0.073 and 0.213, respectively). NPDs used more external funding for eradication than local governments and state forestry units, mostly co-financed by European Union funds (e.g., LIFE and European Regional Development Fund). Information was required by a large percentage of respondents from local governments (75% of those who recognised the species). The need for cooperation between stakeholder groups was indicated by 78% of local governments recognising the species, and was ranked high by the two expert groups as well (medians were 4 for NPDs and 5 for SFUs on a 0–5 scale). Sharing knowledge about and experience with eradication among the two expert groups and transferring knowledge to the local governments are recommended for the successful management of the species. Further research is needed regarding the effectiveness, the environmental impacts, and the costs of eradication, as well as influencing factors. Full article

Agriculture significantly contributes to greenhouse gas (GHG) emissions, yet fluxes from irrigated semi-arid systems remain poorly quantified. This study investigates CO₂, CH₄, N₂O, and NH₃ fluxes in a short-term lettuce experiment under semi-arid conditions. The objective was to quantify flux variability and identify key environmental and management drivers. High-frequency soil gas flux measurements were conducted under three treatments: irrigated soil (I), irrigated soil with plants (IP), and irrigated soil with plants plus NH₄NO₃ fertilizer (IPF). Environmental factors, including solar radiation, soil temperature, water-filled pore space, and relative projected leaf area, were monitored. A Random Forest model identified main flux determinants. Fluxes varied with plant function, growth, and fertilization. IP exhibited net CO₂ uptake through photosynthesis, whereas I and IPF showed net CO₂ emissions from soil respiration and fertilizer-induced disruption of plant function, respectively. CH₄ uptake occurred across treatments but decreased with plant presence. Fertilization in IPF triggered episodic N₂O (EF = 0.1%) and NH₃ emissions (EF = 0.97%) linked to nitrogen input. Vegetated semi-arid soils can act as CO₂ sinks when nitrogen is optimally managed. Excess or poorly timed nitrogen delays CO₂ uptake and increases reactive nitrogen losses. Methanotrophic activity drives CH₄ dynamics and is influenced by plants and fertilization. Maintaining crop vigor and applying precision nitrogen management are essential to optimize productivity while mitigating GHG and NH₃ emissions in semi-arid lettuce cultivation. Full article

Flower pigmentation is a critical trait in plants, influencing ecological interactions and ornamental value. This study investigates the mechanisms underlying petal coloration in Prunus campanulata and its hybrids, Prunus ‘Okame’ and Prunus ‘Yoko’. Morphological analysis revealed consistent flower size across varieties, indicating that color variation is not linked to structural differences. Physiological and biochemical analyses identified stages III and IV as critical for pigmentation, characterized by the significant accumulation of flavonoids and anthocyanins. Metabolomic profiling highlighted flavonoids as the dominant metabolites, with key compounds including chalcones, flavones, and anthocyanins contributing to color formation. Weighted gene co-expression network analysis (WGCNA) further identified several hub genes, including RPL34, NUDT12, and CYP78A9, within modules strongly correlated with pigment accumulation, suggesting their potential non-canonical roles in the coloration process. Environmental factors such as temperature and pH were found to influence pigment stability. Overall, this study provides insights into the genetic and biochemical regulation of flower pigmentation in P. campanulata, emphasizing the central role of flavonoid and anthocyanin biosynthesis. Full article

Per- and polyfluoroalkyl substances (PFASs) have attracted global attention due to their persistence and biological toxicity, becoming critical emerging contaminants in river and lake environments worldwide. Building upon existing studies, this work aims to comprehensively understand the pollution patterns, environmental behaviors, and potential risks of PFASs in freshwater systems, thereby providing scientific evidence and technical support for precise pollution control, risk prevention, and the protection of aquatic ecosystems and human health. Based on publications from 2002 to 2025 indexed in the Web of Science (WoS), bibliometric analysis was used to explore the temporal evolution and research hotspots of PFASs, and to systematically review their input pathways, pollution characteristics, environmental behaviors, influencing factors, and ecological and health risks in river and lake environments. Results show that PFAS inputs originate from both direct and indirect pathways. Direct emissions mainly stem from industrial production, consumer product use, and waste disposal, while indirect emissions arise from precursor transformation, secondary releases from wastewater treatment plants (WWTPs), and long-range atmospheric transport (LRAT). Affected by source distribution, physicochemical properties, and environmental conditions, PFASs display pronounced spatial variability among environmental media. Their partitioning, degradation, and migration are jointly controlled by molecular properties, aquatic physicochemical conditions, and interactions with dissolved organic matter (DOM). Current risk assessments indicate that PFASs generally pose low risks in non-industrial areas, yet elevated ecological and health risks persist in industrial clusters and regions with intensive aqueous film-forming foam (AFFF) use. Quantitative evaluation of mixture toxicity and chronic low-dose exposure risks remains insufficient and warrants further investigation. This study reveals the complex, dynamic environmental behaviors of PFASs in river and lake systems. Considering the interactions between PFASs and coexisting components, future research should emphasize mechanisms, key influencing factors, and synergistic control strategies under multi-media co-pollution. Developing quantitative risk assessment frameworks capable of characterizing integrated mixture toxicity will provide a scientific basis for the precise identification and effective management of PFAS pollution in aquatic environments. Full article

The increased energy efficiency of electrified vehicles and their potential to reduce CO₂ emissions through the use of environmentally friendly materials are highlighted as reasons for the shift to electrified vehicles. Brief trends on the development of electric vehicles (EVs) have been discussed, presenting outstanding improvement towards the actualization of the green economy. The state of the art in lubrication has been thoroughly investigated as one of the factors influencing energy efficiency and the lifespan of machine components. As a result, many reports on the effectiveness of specific lubricants in electric vehicle applications have been developed. Good thermal and corrosion-resistant lubricants are necessary because of the emergence of several new tribological difficulties, especially in areas that interact with greater temperatures and currents. To avoid fluidity and frictional problems that may be experienced over its lifetime, a good viscosity level of lubricant was also mentioned as a crucial component in the formulation of EV lubricant. New lubricants are also necessary for the gearbox systems of electric vehicles. Furthermore, battery electric vehicles (BEVs) require a suitable cooling system for the batteries; thus, a compatible nano-fluid is recommended. Sustainable battery cooling options support global energy efficiency and carbon emission reduction while extending the life of EV batteries. The path for future advancements or the creation of the most useful and efficient EV lubricants is provided by this review study. Full article

Urban green spaces (UGS) are crucial for mitigating rising urban land surface temperatures (LST). Rapid urbanization presents unresolved questions regarding (a) seasonal variations in the spatial co-distribution of UGS and LST, (b) the temporal and spatial changes in UGS cooling, and (c) the dominant factors driving cooling effects during different periods. This study focuses on Beijing’s Fifth Ring Road area, utilizing nearly 40 years of Landsat remote sensing imagery and land cover data. We propose a novel nine-square grid spatial analysis approach that integrates LST retrieval, profile line analysis, and the XGBoost algorithm to investigate the long-term spatiotemporal evolution of UGS cooling capacity and its driving mechanisms. The results demonstrate three key findings: (1) Strong seasonal divergence in UGS-LST correlation: A significant negative correlation dominates during summer months (June–August), whereas winter (December–February) exhibits marked weakening of this relationship, with localized positive correlations indicating thermal inversion effects. (2) Dynamic evolution of cooling capacity under urbanization: Urban expansion has reconfigured UGS spatial patterns, with a cooling capacity of UGS showing an “enhancement–decline–enhancement” trend over time. Analysis through machine learning on the significance of landscape metrics revealed that scale-related metrics play a dominant role in the early stage of urbanization, while the focus shifts to quality-related metrics in the later phase. (3) Optimal cooling efficiency threshold: Maximum per-unit-area cooling intensity occurs at 10–20% UGS coverage, yielding an average LST reduction of approximately 1 °C relative to non-vegetated surfaces. This study elucidates the spatiotemporal evolution of UGS cooling effects during urbanization, establishing a robust scientific foundation for optimizing green space configuration and enhancing urban climate resilience. Full article

Background: Epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs) such as erlotinib are widely used in non-small-cell lung cancer treatment, and accumulating evidence indicates they can markedly increase ocular toxicity. Nonetheless, whether erlotinib causes optic nerve injury has not been investigated before and remains a subject worth investigating. This study aimed to examine the impact of erlotinib on oxidative stress, inflammation, and histopathological changes in rat optic nerve tissue and evaluate the potential neuroprotective role of thiamine pyrophosphate (TPP). Methods: Twenty-four male Wistar rats were randomly assigned to four groups: healthy control, TPP alone, erlotinib alone, and erlotinib + TPP. Erlotinib (10 mg/kg, orally, on alternate days) and TPP (20 mg/kg, intraperitoneally, daily) were administered for two consecutive weeks. Optic nerve samples were analyzed for malondialdehyde (MDA), total glutathione (tGSH), superoxide dismutase (SOD), catalase (CAT), interleukin-1β (IL-1β), and tumor necrosis factor-α (TNF-α), followed by histopathological examination. Results: Erlotinib treatment significantly increased MDA, IL-1β, and TNF-α levels while reducing tGSH, SOD, and CAT activity, demonstrating oxidative stress and an inflammatory response. Co-administration of TPP ameliorated these changes by lowering reactive oxygen species, restoring antioxidant capacity, and attenuating inflammation. Histopathological alterations, including astrocyte degeneration, edema, and vascular congestion, were evident after erlotinib exposure but were significantly alleviated when TPP was administered concurrently. Conclusions: Erlotinib induces oxidative and inflammatory optic nerve injury, while TPP co-treatment offers significant neuroprotection. These findings support TPP as a potential adjunct to reduce EGFR-TKI-related ocular toxicity and highlight importance of redox modulation in limiting treatment-associated side effects. Full article

The recent resurgence of COVID-19 in a Hepatitis B virus some endemic countries could lead to adverse outcomes. In this article, we formulate and analyse a mathematical model to explains the co-infection dynamics of Hepatitis B virus and COVID-19. Our aim is to investigate the effect of Hepatitis B virus prevention, COVID-19 prevention, COVID-19 vaccination, and environmental factors on transmission dynamics, and formulate conditions for extinction and persistence of the diseases. First, we derive the basic reproduction number for HBV only, COVID-19 only, and co-infection stochastic models using the next-generation matrix method. Next, we establish the conditions for stability in the stochastic sense for HBV only, COVID-19 only sub-models, and the co-infection model using suitable Lyapunov functions. Furthermore, we devote our attention to finding sufficient conditions for extinction and persistence. Finally, motivated by Ghana data, we applied the Euler–Murayama scheme to illustrate the dynamics of the co-infection, COVID-19, HBV, and the effect of some parameters on disease transmission dynamics by means of numerical simulations. Full article

Metal particles and surface charge accumulation are considered the key factors that could trigger unexpected flashovers of insulators equipped in gas-insulated switchgear (GIS). In eco-friendly gases, the flashover properties and the synergistic effect of the surface charge and the metal particle on flashover remain unclear. This study investigates the flashover properties of down-scaled 252 kV GIS basin-type epoxy insulators with metal particles in C₄F₇N/CO₂ mixtures, with and without AC pre-charging. Tests considered various particle adherence locations and a particle-free control group. The results indicated that metal particles at the high-voltage (HV) electrode or middle area reduce flashover voltage, with the HV electrode and concave surface being most critical. Surface charges, induced by pre-charging and metal particle attachment, interact synergistically with the metal particle during the flashover process, increasing the flashover voltage and redirecting arcs away from them. Such findings enhance understanding of flashover mechanisms in eco-friendly gas-insulated systems and inform insulator design. Full article

As high-energy-consumption underground public space, subway stations are responsible for a particularly significant proportion of air-conditioning energy use, especially during the cooling season, making the investigation of cooling-load characteristics highly important. However, the determination of independent influencing factors in different situations has not yet reached a consensus, and the role of interaction effects is lacking, which hinders the development of energy-saving strategies. For this purpose, this study proposes a sensitivity analysis framework based on 10 typical influencing factors from thermal parameters, meteorological parameters, internal heat disturbances, and indoor environmental setpoints. An input set was generated by integrating equal-step parameter discretization and Saltelli quasi-MonteCarlo sampling. A database containing 11,264 samples was constructed through an EnergyPlus–Python co-simulation method. Based on the Sobol global sensitivity analysis, the key influencing factors of subway station cooling load were identified and quantified, and the impact of these 10 factors was systematically analyzed. Results show that occupant density (S_i^T = 0.5605) and fresh air volume (S_i^T = 0.4546) are the dominant factors, contributing more than 50% of the load variance. In contrast, the characteristics of an underground structure significantly weaken the influence of the building-envelope heat transfer coefficient (S_i^T = 0.1482) and soil temperature (S_i^T = 0.0884). Furthermore, five groups of strong interaction effects were identified in this study, including occupant density–fresh air volume (S_ij = 0.1094), revealing a nonlinear load response mechanism driven by multi-parameter coupling. This research provides a theoretical foundation and quantitative tool for the refined design and optimized dynamic coupled operation of underground transportation hubs. Full article

This review is focused on understanding the reasons why basal cell carcinoma (BCC), the most common, increasingly prevalent cancer, is classified as an “immune excluded” malignancy. It is, despite manifesting one of the highest tumor mutational burdens of any solid human malignancy, considered to be a biomarker of enhanced tumor immunogenicity and efficacy of tumor-targeted immunotherapy. Following a brief clinical overview, the balance of the review addresses important translational issues based on recent insights into the mechanisms underpinning immune exclusion/evasion in BCC. These include, firstly, the role of infectious agents and non-infectious potential causes of predisposition for and/or exacerbation of disease development and progression. Secondly, an overview of existing and emerging novel therapeutic strategies to ameliorate immune exclusion in BCC based on targeting several key immunosuppressive mechanisms. These are (i) inappropriate activation of the hedgehog signaling pathway (HHSP) due to formation of key driver mutations; (ii) interference with the presentation of tumor-specific antigens/neoantigens to cytotoxic T-cells; (iii) attenuation of the influx of anti-tumor natural killer cells; (iv) the recruitment and activation of immune suppressive regulatory T-cells; and (v) localized and systemic immune dysfunction achieved via elevated levels of soluble co-inhibitory immune checkpoint proteins (ICPs). The final section is focused on current and emerging pharmacologic and immune-based therapies. Full article

To enhance the nutritional value of sheep fat, high-melting-point solid fat (HSO) and low-melting-point liquid oil (LSO) were prepared from Altay sheep rump fat via solvent fractionation. The effects of HSO and LSO on lipid metabolism and intestinal health were evaluated in a mouse model. Results showed that HSO, rich in saturated fatty acids (SFA), induced obesity, dyslipidemia, and colonic inflammation in mice. These adverse effects were associated with the upregulation of hepatic lipid synthesis genes such as Sterol regulatory element-binding protein 1c (SREBP-1c) and Fatty acid synthase (FAS), as well as increased expression of pro-inflammatory cytokines including Tumor necrosis factor-alpha (TNF-α) and Interleukin-6 (IL-6) in the colon. In contrast, LSO, which was predominantly composed of unsaturated fatty acids (UFA), did not cause significant metabolic disorders. Instead, it promoted the upregulation of fatty acid oxidation-related genes such as Peroxisome proliferator-activated receptor alpha (PPARα) and Acyl-CoA oxidase 1 (Acox1), helped maintain intestinal microbial balance, and enhanced the production of beneficial short-chain fatty acids (SCFAs), particularly butyrate and propionate. In conclusion, solvent fractionation effectively modulates the fatty acid composition of sheep fat, thereby influencing lipid metabolism and inflammatory responses through the regulation of key gene expression and modulation of the gut microenvironment. Full article

The reduced form of nicotinamide adenine dinucleotide phosphate (NADPH) is a primary electron donor for both antioxidant enzymes, such as glutathione reductase, and pro-oxidant enzymes, such as NADPH oxidases that produce reactive oxygen species (ROS) and nitric oxide synthases that generate nitric oxide which act as signaling molecules. Monitoring NADPH levels, NADPH/NADP⁺ ratio, and especially distinguishing from NADH, provides vital information about cellular redox status, energy generation, survival, lineage specification, and death pathway selection. NADPH detection is key to understanding metabolic reprogramming in cancer, aging, and cardiovascular, hormonal, neurodegenerative, and autoimmune diseases. Liquid chromatography combined with mass spectrometry (LC-MS) is crucial for NADPH detection in redox signaling because it offers the high sensitivity, specificity, and comprehensive profiling needed to quantify this vital but labile redox cofactor in complex biological samples. Using hepatoma cell lines, liver tissues, and primary hepatocytes from mice lacking transaldolase or nicotinamide nucleotide transhydrogenase, or having lupus, this study demonstrates that accurate measurement of NADPH depends on its preservation in reduced form which can be optimally achieved by extraction of metabolites in alkaline solution, such as 0.1 M potassium hydroxide (KOH) in comparison to 80% methanol (MeOH) alone or 40:40:20 methanol/acetonitrile/formic acid solution. While KOH extraction coupled with hydrophilic interaction liquid chromatography (HILIC) and mass spectrometry most reliably detects NADPH, NADP, NADH, NAD, polyamines, and polyols, MeOH extraction is best suited for detection of glutathione and overall discrimination between complex metabolite extracts. This study therefore supports performing parallel KOH and MeOH extractions to enable comprehensive metabolomic analysis of redox signaling. Full article

The global transition to renewable energy requires hybrid solutions that address variability while delivering tangible co-benefits and verifiable mitigation outcomes. This study evaluates a novel small hydropower–photovoltaic (SHP–PV) hybrid system in the Kyrgyz Republic that integrates flexible Bitcoin mining loads and waste-heat recovery for greenhouse heating. A techno-economic model was developed for a 10 MW configuration, allocating annual net generation of 57.34 GWh between grid export and on-site mining through a single decision parameter. Mitigation accounting applies a combined margin grid factor of 0.4–0.7 tCO₂/MWh for exported electricity and a diesel factor of 0.26–0.27 tCO₂/MWh_fuel for heat displacement, yielding Article 6–eligible reductions from both electricity and recovered heat. Waste-heat recovery from mining supplies ≈15 MWh_th/year to a 50 m² greenhouse, displacing diesel use and demonstrating visible sustainable development co-benefits. Economic analysis reproduces annual revenues of ≈$1.9 million, with a levelized cost of electricity of $48/MWh and an indicative IRR of ~6%, consistent with positive but modest returns under merchant operation and uplift potential under mixed allocations. This study concludes that componentized accounting—exported electricity credited under grid displacement and diesel displacement credited from recovered heat—ensures Article 6 integrity and positions SHP–PV hybrids as replicable, multi-service renewable models for Central Asia. Unlike prior hybrid studies that treat generation, economics, and mitigation separately, our framework integrates allocation (α), financial outcomes, and Article 6 carbon accounting within a unified structure, while explicitly modeling Bitcoin mining as an endogenous flexible load with thermal recovery—advancing methodological approaches for multi-service renewable systems in climate policy contexts. Full article

While stamen-focused research has predominantly examined flowering ornamental species, the tissue-specific regulatory mechanisms governing anthocyanin biosynthesis in potato stamens remain poorly understood. To characterize the tissue-specific regulatory mechanisms controlling anthocyanin biosynthesis in potato reproductive and storage organs, this investigation employed the red stamen mutant line ‘BF1811-8’ and the commercial cultivar ‘Atlantic’ as experimental models. Anthocyanin composition and quantification were determined using high-performance liquid chromatography (HPLC), while RNA-sequencing coupled with quantitative real-time PCR validation enabled comprehensive analysis of differential gene expression patterns within the anthocyanin biosynthetic pathway. Biochemical analysis revealed complete absence of anthocyanins across all examined tissues in ‘Atlantic’, whereas ‘BF1811-8’ exhibited tissue-specific anthocyanin profiles: stamens accumulated delphinidin and pelargonidin, while tuber skin and flesh primarily contained pelargonidin and peonidin. Gene ontology and KEGG pathway enrichment analysis of differentially expressed genes identified significant representation within secondary metabolism, flavonoid biosynthesis, and pigmentation processes. The transcription factors StMYB4 and StMYBA1 demonstrated positive regulatory roles in anthocyanin biosynthesis within tuber flesh and skin, respectively, while exhibiting coordinated expression with structural genes including CHS, DFR, ANS, and GST. Notably, StbHLH94 showed stamen-specific regulatory activity and demonstrated transcriptional co-regulation with 3GT. These findings provide crucial insights into the tissue-specific regulatory architecture governing potato anthocyanin biosynthesis, establishing a foundation for elucidating molecular mechanisms underlying tissue-specific pigmentation and advancing functional cultivar development. Full article