Search Results (130,799)

To reduce the amount of harmful gases produced by fossil fuels, more environmentally friendly and sustainable alternatives are being proposed around the world. As a result, technologies for manufacturing hydrogen fuel cells and producing green hydrogen are becoming more widespread, with an impact on energy production and environmental protection. In many countries around the world, and in Africa in particular, leaders, scientists, and populations are considering switching from fossil fuels to so-called green energies. Hydrogen is therefore an interesting alternative that deserves to be explored, especially since both rural and urban populations have shown an interest in using it in the near future, which would reduce pollution and the proliferation of greenhouse gases, thereby mitigating global warming. The aim of this paper is to determine the hybrid energy system best suited to addressing the energy problem in the study area, and then to make successive substitutions of different energy sources, starting with the most polluting, in order to assess the possibilities for transitioning the energy used in the area to green hydrogen. To this end, this study began with a technical and economic analysis which, based on climatic parameters, led to the proposal of a PV/DG-BATTery system configuration, with a Net Present Cost (NPC) of USD 19,267 and an average Cost Of Energy (COE) of USD 0.4, and with a high proportion of CO₂ emissions compared with the PV/H₂GEN-BATT and H₂GEN systems. The results of replacing fossil fuel generators with hydrogen generators are beneficial in terms of environmental protection and lead to a reduction in energy-related expenses of around 2.1 times the cost of diesel and a reduction in mass of around 2.7 times the mass of diesel. The integration of H₂GEN, at high duty percentages, increases the Cost Of Energy, whether in a hybrid PV/H₂GEN system or an H₂GEN system. This shows the interest in the study country in using favorable duty proportions to make the use of hydrogen profitable. Full article

Launched in 2013, China’s Belt and Road Initiative (BRI) was originally devised to link East Asia and Europe through a network of physical and digital infrastructure. This article analyses the BRI’s development in the European context by offering a comparative analysis of 727 BRI and BRI-like projects within 46 European countries from 2005 to 2021. The analysis considers projects’ location, typology, status, and the main enterprises involved in each project. According to our results, there is a “two-speed Europe”. Indeed, while the vast majority of projects are included in the Digital Silk Road (e.g., telecommunication, transfer technology, data centre, 5G, fintech) and are located in North-Western Europe, traditional investments in infrastructure (e.g., ports, roads, railways, SEZ) are concentrated in South-Eastern Europe and the Balkan countries. While North-Western Europe is particularly concerned about cyber security and data protection issues, various South-Eastern European countries look favorably upon the development opportunities offered by the BRI. The BRI is clearly different from the Western approach to development (based on competition and economic liberalism) and integration (based on treaties). The BRI approach—including its platform, leveraging political flexibility, economic pragmatism, ability to mobilize resources, and ability to create synergies between state and business—could take advantage of the flaws of the European integration process. The BRI, with its strengths as well as weaknesses, represents an opportunity for the EU to understand the need for greater economic and political foresight, social cohesion, and economic flexibility to meet the development needs of its member countries. China, too, can draw inspiration from cooperating with EU countries on how to improve the reception of its investment initiatives by focusing on reciprocity, security guarantees, and protection of rights and the environment. Full article

The present study evaluated the effects of psyllium mucilage (PM) added at levels of 0.25% (PM 0.25), 0.5% (PM 0.5), and 0.75% (PM 0.75), compared to guar gum (GG) and carob gum (CAR), on the rheological properties, overrun, melting, and consumer acceptance of vegan yogurt-based ice (yog-ice) creams. Rheological analysis showed that all formulations exhibited non-Newtonian, shear-thinning behavior (n < 1), although the magnitude varied depending on the hydrocolloid used. PM significantly (p < 0.05) increased viscosity in a concentration-dependent manner, reaching 585.3 mPa·s for PM 0.75, and improved yield stress and structural stability. CAR addition resulted in the lowest apparent viscosity (41.8 mPa·s) but the strongest pseudoplasticity (n = 0.328), whereas GG yielded moderate viscosity. PM ice creams exhibited the lowest extent of melting (1.20 g/g at PM 0.75) and the longest first dripping time (67.2 min). PM addition reduced lightness (L*) and increased redness (a*), with higher levels producing perceptible differences (ΔE > 5). CAR increased hardness (42.2 N), while PM 0.25 and PM 0.5 decreased it (28.9 and 33.9 N). Consumer evaluation confirmed that PM 0.5 achieved the highest overall acceptability (7.58), comparable to GG (7.61), whereas CAR and PM 0.75 reduced scores. Psyllium mucilage thus represents a promising clean-label stabilizer for plant-based yog-ice creams, enhancing melting resistance, textural quality, and sensory appeal at optimal concentrations. Full article

Nonlinear filtering algorithms have significant implications in the optimal estimation of navigation states and in improving the accuracy, reliability, and robustness of navigation systems. This manuscript surveys the developments of the nonlinear filtering algorithms (extended Kalman filtering (EKF), unscented Kalman filtering (UKF), Cubature Kalman filtering (CKF), particle filtering (PF), neural network filtering (NNF)) and adaptive/robust KF in integrated navigation systems. The principle, application, and existing problems of these nonlinear filtering algorithms are mainly studied, and the comparative analysis and prospect are carried out. Full article

Background/Objectives: Psychological stress is a main factor in the pathophysiology of irritable bowel syndrome (IBS) and contributes to changes in gastrointestinal motility and inflammatory responses. We investigated the effects of three probiotic strains, Lactobacillus brevis N1, L. brevis N2, and Bacillus amyloliquefaciens S1, isolated from Korean fermented foods, on stress-induced colonic hypermotility and inflammatory signaling in a rat model. Methods: Thirty female Wistar rats were divided into five groups: Control (sham), Stress (water avoidance stress, WAS), Treatment A (WAS + L. brevis N1), Treatment B (WAS + L. brevis N2), and Treatment C (WAS + B. amyloliquefaciens S1) (n = 6 per group). Rats were exposed to WAS for 1 h daily for nine consecutive days. Furthermore, before stress exposure, probiotics were administered by oral gavage. The fecal pellet output (FPO), body weight, and food intake were recorded daily. Colon tissues were harvested for protein extraction, and inflammatory signaling was evaluated by Western blotting for NF-κB and IκBα, with β-actin as loading control. Immunoreactive bands were visualized by enhanced chemiluminescence (ECL) and quantified using ImageJ software version 1.54k. Results: The WAS group showed significantly higher FPO than the sham group (p < 0.01). FPO was significantly decreased in rats treated with L. brevis N2 compared to that in the WAS-only group (p < 0.05). Additionally, immunohistochemical analysis revealed that NF-κB expression was suppressed in all the probiotic groups. Conclusions: Therefore, probiotics are suggested to have elevated anti-inflammatory effects through the downregulation of the NF-κB signaling pathway by restoring IκBα expression and can be utilized as potential therapeutics for stress-induced gastrointestinal dysfunction. Full article

Background: The current polio epidemiology in Pakistan poses a unique challenge for global eradication, with polio transmission dynamics influenced by regional variations in immunity and disparities in immunization coverage. This study assesses the immunity level for all three poliovirus types among children aged 6–11 months in polio high-risk regions of Pakistan. Methods: Four consecutive rounds of cross-sectional serological surveys were conducted in polio high-risk areas of Pakistan between November 2016 and October 2023. Twelve high-risk areas were covered in the first three rounds of the survey, while 44 high-risk areas were covered in the fourth round. 25 clusters from each geographical stratum were selected utilizing probability proportional to size. Results: Across the four rounds of the survey, 32,907 children aged 6–11 months from 2084 clusters and 32,371 households were covered. Comparative analysis across the survey rounds showed that seroprevalence of poliovirus type 1 was high in provinces (>95%), albeit consistently lower in Balochistan (going down to 89.7% in Round 4). Type 2 seroprevalence was significantly lower and more heterogeneous, from 34.6% in Sindh to 83.4% in Punjab, with sharp declines by round 4, particularly in Balochistan (40.4%). Type 3 seroprevalence was overall high (>94% in Punjab, Sindh, and KPK) but dropped in the last round, while Balochistan exhibited continually lower immunity (81.1%). Conclusions: The findings reflect the variations in population immunity to poliovirus in the country, with notable fluctuations over the years. The gaps in type 2 immunity over time and consistently lowest in Balochistan highlight the need for continued monitoring of immunity levels and adaptable vaccination strategies. Full article

To address the limitations of single indices in comprehensively evaluating the quality of Korla fragrant pears, this study proposes the firmness–soluble solids ratio (FSR), defined as the ratio of average firmness (FI) to soluble solid content (SSC) for each individual fruit, as a novel index. Using 600 samples from five maturity stages with hyperspectral imaging (950–1650 nm), the dataset was split 4:1 by the SPXY algorithm. The findings demonstrated that FSR’s effectiveness in quantifying the dynamic relationship between FI and SSC during maturation. The developed multiscale convolutional neural network–long short-term memory (MSCNN–LSTM) model achieved high prediction accuracy with determination coefficients of 0.8934 (FI), 0.8731 (SSC), and 0.8610 (FSR), and root mean square errors of 0.9001 N, 0.7976%, and 0.1676, respectively. All residual prediction deviation values exceeded 2.5, confirming model robustness. The MSCNN–LSTM showed superior performance compared to other benchmark models. Furthermore, the integration of prediction models with visualization techniques successfully mapped the spatial distribution of quality indices. For maturity discrimination, hyperspectral-based partial least squares discriminant analysis and linear discriminant analysis models achieved perfect classification accuracy (100%) under five-fold cross-validation across all five maturity stages. This work provides both a theoretical basis and a technical framework for non-destructive evaluation of comprehensive quality and maturity in Korla fragrant pears. Full article

In recent years, the spread of the phytopathogenic bacterium Xylella fastidiosa Wells et al. 1987 (Bacteria: Proteobacteria, Gammaproteobacteria) has posed a significant threat to olive cultivation in Italy, particularly in regions of high economic and agronomic value such as Apulia (Southern Italy). In this two-year study (2019–2020), we investigated the Auchenorrhyncha community in three representative olive farms in Tuscany (Central Italy), another region with highly valuable olive-growing, comparing traditional (400 trees/ha) and super-high-density (1500 trees/ha) management systems. Adult insects were collected monthly from May to November using sweep net sampling on both olive tree canopies and herbaceous ground cover. In total, 1844 individuals belonging to 25 genera and five families were identified. Philaenus spumarius L. and Neophilaenus campestris (Fallén) (Cercopoidea: Aphrophoridae) were confirmed as the most prevalent X. fastidiosa vectors in each site. However, data analysis revealed that Auchenorrhyncha community composition was significantly influenced by site and vegetation stratum, but not by olive grove management systems. These findings contribute to a deeper understanding of the composition of Auchenorrhyncha communities associated with olive groves, highlighting that new super-high-density management does not influence the presence and abundance of X. fastidiosa vectors. Full article

The development of high-performance MEMS-based eye trackers, crucial for next-generation medical diagnostics and human–computer interfaces, is often hampered by the mechanical instability and time-consuming recalibration of physical prototypes. To address this bottleneck, we present the development and rigorous validation of a high-fidelity digital twin (DT) designed to accelerate the design–test–refine cycle. We conducted a comparative study of a physical MEMS scanning system and its corresponding digital twin using a USAF 1951 test target under both static and dynamic conditions. Our analysis reveals that the DT accurately replicates the physical system’s behavior, showing a geometric discrepancy of <30 µm and a matching feature shift (1 µm error) caused by tracking dynamics. Crucially, the DT effectively removes mechanical vibration artifacts, enabling the precise analysis of system parameters in a controlled virtual environment. The validated model was then used to develop a pupil detection algorithm that achieved an accuracy of 1.80 arc minutes, a result that surpasses the performance of a widely used commercial system in our comparative tests. This work establishes a validated methodology for using digital twins in the rapid prototyping and optimization of complex optical systems, paving the way for faster development of critical healthcare technologies. Full article

To address the problems of noise sensitivity, insufficient modeling of long-term time-series dependence, and high cost of labeled data in the fault diagnosis of pumping station units, an intelligent diagnosis method integrating the improved Sparrow Search Algorithm (tSSA) and Informer model is proposed in this study. Firstly, an adaptive t-distribution strategy is introduced into the Sparrow Search Algorithm to dynamically adjust the degree of freedom parameters of the mutation operator, balance global search and local development capabilities, avoid the algorithm converging to the origin, and enhance optimization accuracy, with time complexity consistent with the original SSA. Secondly, by combining the sparse self-attention and self-attention distillation mechanisms of Informer, the model’s ability to extract key features of long sequences is optimized, and its hyperparameters are adaptively optimized via tSSA. Experiments were conducted based on 12 types of fault vibration data acquired from pumping station units. Outliers were removed using the interquartile range (IQR) method, and dimensionality reduction was achieved through kernel principal component analysis (KPCA). The results indicate that the average diagnostic accuracy of tSSA-Informer under noise-free conditions reaches 98.73%, which is significantly higher than that of models such as SSA-Informer and GA-Informer; under noise interference of SNR = −1 dB, it still maintains an accuracy of 87.47%, outperforming comparative methods like 1D-DCTN; when the labeled sample size is reduced to 10%, its accuracy is 61.32%, which is more than 40% higher than that of traditional models. These results verify the robustness and practicality of the proposed method in strong-noise and small-sample scenarios. This study provides an efficient solution for the intelligent fault diagnosis of complex industrial equipment. Full article

Soil microorganisms are important decomposers in soil, and they play important roles in litter degradation, nutrient cycle and balance, soil physicochemical property improvement, and soil fertility maintenance. To understand the influence of Eucalyptus plantations on the growth, reproduction, and activity of soil microorganisms in severely degraded land, the Leizhou Peninsula in tropical China was selected as the research area. The vegetation restoration types of Eucalyptus urophylla × grandis planted in its severely degraded red soil areas (ES: Eucalyptus–shrub, EG: Eucalyptus–grass, and ED: Eucalyptus–Dicranopteris pedata (Houtt.) Nakaike) were studied, and the nearby natural vegetation types (S: shrub, G: grass, and D: Dicranopteris pedata) served as control groups. The microbial characteristics of different vegetation restoration types were compared, and the influence of Eucalyptus plantations on the growth, reproduction, and activity of soil microorganisms in severely degraded red soil areas was discussed by setting up sample plots for investigation, sample determination, and statistical analysis. The structure of soil microorganisms differed significantly between Eucalyptus vegetation restoration (ER) and natural vegetation restoration without Eucalyptus (NER). Key organic decomposers, including bacterial genera such as Candidatus Solibacter (ER: 1.2 ± 0.4% vs. NER: 0.9 ± 0.1%), Candidatus Koribacter (ER: 1.0 ± 0.4% vs. NER: 0.7 ± 0.1%), and Edaphobacter (ER: 0.9 ± 0.1% vs. NER: 0.4 ± 0.1%), as well as fungal genera such as Rhizophagus (ER: 0.1 ± 0.0% vs. NER: 0.0 ± 0.0%), Paxillus (ER: 0.1 ± 0.0% vs. NER: 0.0 ± 0.0%), and Pisolithus (ER: 0.1 ± 0.0% vs. NER: 0.0 ± 0.0%), exhibited a significantly higher relative richness and a broader distribution in ER compared to NER (p < 0.05). Soil microbial biomass carbon, nitrogen and phosphorus (MBC, MBN, MBP), community structure (keystone taxa and symbiosis network complexity), and functional genes (for growth, reproduction, and decomposition) in ER, especially in ES, were significantly higher than in NER. This study illustrated that Eucalyptus plantations, especially ES types, can promote the growth and reproduction of soil organic decomposers, improve microbial metabolic and biological activities, and increase functional diversity and interactions among microorganisms, thus accelerating the cycle of soil carbon, nitrogen, and phosphorus nutrients, improving soil quality and fertility, and accelerating the recovery of degraded soil fertility. In areas with serious soil degradation and where natural vegetation restoration is difficult, planting Eucalyptus, especially while guiding the understory vegetation to develop into the shrub vegetation type, is an effective vegetation restoration model. Full article

Thyroid carcinomas are phenotypically heterogeneous malignancies. Advances in molecular and cellular technologies have revealed genetic, epigenetic, and nongenetic factors underlying this heterogeneity. Our study aimed to assess the impact of single and combined treatments with anticancer agents (Carboplatin, Doxorubicin, Paclitaxel, Avastin), natural compounds (Quercetin), and epigenetic modulators (suberoylanilide hydroxamic acid and 5-Azacytidine) on the expression of long noncoding RNAs, methylation regulators, and functional features in the human thyroid cancer cell line K1. Methods: Treated and untreated K1 cells were used throughout experiments to evaluate the drug-induced cytotoxicity, apoptosis, cell cycle distribution, cytokine release, gene expression, and global DNA methylation levels. Results: Some single- and combined-drug treatments modulated both cell cycle progression and apoptotic events, demonstrating anti-tumor activity of the tested compounds. Gene expression analysis showed treatment-specific regulation of target genes and lncRNAs, including both upregulation and downregulation across different drug combinations. All treatments resulted in increased global DNA methylation levels compared to the untreated controls. Several combinations significantly upregulated DNMT1 and DNMT3B, while concomitantly decreased EZH2 levels. Conclusions: These coordinated epigenetic changes highlight the therapeutic potential of combining epigenetic modulators with chemotherapeutic agents, suggesting a strategy to prevent or reverse treatment resistance and improve outcomes in thyroid cancer patients. Full article

Accurate precipitation forecasting plays a crucial role in sustainable water resource management, especially in arid regions like Konya, one of Turkey’s driest areas. Reliable forecasts support effective water budgeting, agricultural planning, and climate adaptation efforts in the region. This study investigates the performance of different deep learning training algorithms in forecasting monthly precipitation using Long Short-Term Memory (LSTM) networks, a method tailored for time-series prediction. A comprehensive dataset comprising 39 years (1984–2022) of precipitation records was utilized, obtained from the Turkish State Meteorological Service (MGM) as ground-based observations and from NASA’s POWER database as remote sensing data, and was split into 80% for training and 20% for testing. A comparative analysis of three widely used optimization algorithms, Adaptive Moment Estimation (ADAM), Root Mean Square Propagation (RMSProp), and Stochastic Gradient Descent with Momentum (SGDM), revealed that ADAM consistently outperformed the others in forecasting accuracy. Model performance was evaluated with statistical metrics, and the LSTM-ADAM combination achieved the best results. In the final phase, cross-validation was applied using MGM and NASA data sources in a crosswise manner to test model generalizability and data source independence. The best performance was observed when the model was trained with MGM data and tested with NASA data, achieving a remarkably low RMSE of 3.62 mm, MAE of 2.93 mm, R² of 0.9966, and NSE of 0.9686. When trained with NASA data and tested with MGM data, the model still demonstrated strong performance, with an RMSE of 4.48 mm, MAE of 3.22 mm, R² of 0.9921, and NSE of 0.9678. These results demonstrate that satellite and ground-based data can be used interchangeably under suitable conditions, while also confirming the superiority of the ADAM optimizer in LSTM-based precipitation forecasting. Full article

Additive manufacturing methods can constitute a valuable alternative to conventional production techniques for components used in the heavy industry, particularly in foundry applications. This innovative manufacturing approach enables an expanded product portfolio as well as higher precision and geometrical complexity of ceramic components. One additive technology applicable to ceramic processing is robocasting, classified within the direct ink writing (DIW) family. In this method, a semi-fluid ceramic paste is extruded to build the part layer by layer; the shaped green body is subsequently fired (sintered) to attain its final functional properties. This study presents the results of materials characterization of printed ceramic filters, encompassing phase composition analysis, density measurements, three-point bending strength testing, hardness, and microstructural examination. The investigations demonstrated that the oxide ceramic Al₂O₃ processed by the modern robocasting method exhibits mechanical performance at a comparably high level relative to classical manufacturing routes (slip casting, ceramic injection molding, dry pressing). Moreover, the porosity results indicate that 3D printing technology enables lower post-sintering porosity. Full article

Background: Clinical trials comparing novel oral anticoagulants (NOACs) with warfarin reported a lower mortality rate and a reduced incidence of bleeding with NOACs. However, these studies do not allow for final conclusions about safety. Moreover, direct comparisons among NOACs are not available. Objectives: The aim of this study was to analyze data from EudraVigilance in order to compare OAC safety profiles. Methods: We searched for all suspected adverse drug reactions (ADRs) from OACs collected in the EudraVigilance up to March 2019. We calculated the reporting odds ratios (RORs) in order to assess the risk of reporting specific ADRs among drugs. Moreover, OAC safety profiles were investigated through correspondence analysis and visualized in contribution biplots. Results: A total of 244,149 individual case safety reports (ICSRs; 431,354 ADRs) related to OACs were retrieved from EudraVigilance. About 80% of ICSRs refer to NOACs, especially rivaroxaban. Gastrointestinal (Gastr) and central nervous system (Nerv) disorders were the most represented categories. More than 90% of ADRs were serious and almost 9% fatal, with the highest ROR reported for dabigatran. Both fatal and non-fatal ADRs reported for Vitamin K Antagonists (VKAs) differed from those reported for NOACs. Among the latter, dabigatran and rivaroxaban showed similar profiles, while apixaban differed from all other OACs, even in the case of fatal ADRs. Conclusions: As expected, data collected from EudraVigilance showed differences among drugs, probably related to their specific characteristics and/or the peculiar utilization in clinical practice. Further investigations are needed to better compare the safety profile of OACs. Full article