Search Results (147)

Peroxymonosulfate (PMS)-based advanced oxidation technology has emerged as an effective means for removing organic pollutants from water due to its strong oxidizing ability. However, enhancing the activation efficiency of PMS represents a key challenge at present. SrTiO₃, a typical perovskite metal oxide, holds potential in the field of the photocatalytic degradation of pollutants, yet its application is limited by the wide bandgap and fast carrier recombination rates. This study optimized the photocatalytic performance of SrTiO₃ by regulating its electronic structure and optical properties through cobalt (Co) doping. Experimental results (TRPL, TPV, UV–Vis DRS, ESR, etc.) and DFT calculations (GGA-PBE) demonstrated that Co doping shifted the d-band center of SrTiO₃ upwards, optimized the adsorption energy of SO₄⁻, enhanced the sunlight response range, and significantly improved carrier extraction efficiency. Under visible light irradiation, 2,4-dichlorophenol (2,4-DCP) could be effectively degraded within 60 min in a wide pH range. Through Fukui function calculation (B3LYP/6-31G*) and experimental characterization analysis (HPLC-MS and IC), the possible degradation pathways of 2,4-DCP and the mechanism for photocatalysis were investigated. The toxicity analysis (T.E.S.T) confirmed the reduced toxicity of the degradation products of 2,4-DCPs. This study provides a reference for the catalyst design and optimization strategy of PMS-based advanced oxidation technology. Full article

Background: Finger orthoses are essential for treating injuries, deformities, and disorders of the upper limbs by supporting, immobilizing, or correcting deformities. Recent advances in three-dimensional (3D) printing have significantly enhanced precision and customization compared to traditional fabrication methods such as thermoplastic molding, plaster or fiberglass casting, and the use of prefabricated splints. Methods: The present review was conducted using PubMed, Scopus, and other databases with keywords such as “hand therapy”, “additive manufacturing”, “finger and thumb”, and “orthosis”. Only English-language publications were considered, with a primary focus on articles published between 2010 and 2025. Key themes were identified and categorized into conditions necessitating finger orthoses, types and classifications, ergonomic design considerations, and advancements in additive manufacturing. Results: Finger orthoses address musculoskeletal injuries, inflammatory diseases, and neuromuscular disorders. Three-dimensional printing provides enhanced customization, reduced material waste, rapid prototyping, and the ability to create complex geometries, improving patient comfort and functionality. Conclusions: Finger orthoses effectively treat various conditions by supporting and stabilizing fingers. A thorough understanding of anatomy, biomechanics, and fabrication methods is crucial for achieving functional and comfortable designs. Three-dimensional printing offers a transformative approach to producing lightweight, customizable, and cost-effective orthoses, enabling innovative and personalized solutions. By bridging clinical needs and design strategies, this review may guide future innovations in patient-specific orthotic development. Full article

Heterogeneous nuclear ribonucleoprotein H1 (hnRNPH1) is a multifunctional RNA-binding protein (RBP) that plays a central role in post-transcriptional regulation. Through its quasi-RNA recognition motifs and low-complexity domains, hnRNPH1 specifically binds guanine-rich RNA sequences, including G-quadruplex structures, to precisely modulate multiple aspects of RNA metabolism, such as alternative splicing, mRNA stability, translation, and subcellular localization. Accumulating evidence has implicated hnRNPH1 dysfunction in the pathogenesis of several human diseases. In cancer, hnRNPH1 often acts as a pro-tumorigenic factor, albeit in a context-dependent manner, influencing the alternative splicing of crucial oncogenes, mRNA stability, and tumor cell sensitivity to therapeutic agents. In the nervous system, hnRNPH1 is involved in neurodevelopment, neurodegenerative diseases, and drug addiction and plays an essential role in maintaining neuronal function and homeostasis. Furthermore, it exerts regulatory functions in reproductive system development and fertility and in non-neoplastic pathologies, including cardiovascular diseases, autoimmune disorders, and viral hepatitis. Given its pathophysiological significance, hnRNPH1 has emerged as a promising biomarker and therapeutic target. This review provides an overview of the structural basis and core molecular function of hnRNPH1. Its mechanisms of action and pathological significance in various diseases have also been detailed. Additionally, this review summarizes the current therapeutic strategies targeting hnRNPH1, discusses the associated challenges, outlines optimization approaches, and considers future research directions. Overall, this review aims to deepen our understanding of hnRNPH1 biology and inspire the development of novel diagnostic and therapeutic interventions. Full article

For mobile agent path planning, traditional path planning algorithms frequently induce abrupt variations in path curvature and steering angles, increasing the risk of lateral tire slippage and undermining operational safety. Concurrently, conventional reinforcement learning methods struggle to converge rapidly, leading to an insufficient efficiency in planning to meet the demand for energy economy. This study proposes LSTM Bézier–Double Deep Q-Network (LB-DDQN), an advanced path-planning framework for mobile agents based on deep reinforcement learning. The architecture first enables mapless navigation through a DDQN foundation, subsequently integrates long short-term memory (LSTM) networks for the fusion of environmental features and preservation of training information, and ultimately enhances the path’s quality through redundant node elimination via an obstacle–path relationship analysis, combined with Bézier curve-based trajectory smoothing. A sensor-driven three-dimensional simulation environment featuring static obstacles was constructed using the ROS and Gazebo platforms, where LiDAR-equipped mobile agent models were trained for real-time environmental perception and strategy optimization prior to deployment on experimental vehicles. The simulation and physical implementation results reveal that LB-DDQN achieves effective collision avoidance, while demonstrating marked enhancements in critical metrics: the path’s smoothness, energy efficiency, and motion stability exhibit average improvements exceeding 50%. The framework further maintains superior safety standards and operational efficiency across diverse scenarios. Full article

The impact of bio-invasions and abnormal aggregations of marine life on the safety of cooling water systems in coastal nuclear power plants (NPPs) is significant and cannot be overlooked. In this study, we conducted 12 consecutive monthly surveys from September 2022 to August 2023 in the waters near Ningde NPP in Fujian, China, focusing on nekton species composition, dominant species, abundance, biomass, and diversity indices. We conducted statistical analyses to examine potential correlations between the community structure of these organisms and environmental factors. We recorded 120 species of nekton that belonged to 20 orders, 57 families, and 92 genera, including 72 species of fish, 23 species of shrimp, 19 species of crabs, and 6 species of cephalopods. Pearson and redundancy analyses showed that pH, DIP, and inorganic nitrogen were the main environmental factors driving the observed temporal changes in the nekton community structure in the seawater intake area. We also found that May to October is the peak period for nekton abundance and biomass, and during this time, there is a high risk of nekton blocking the cooling water system of the NPP. These results are of practical significance for NPP managers to prevent and control the clogging of the cooling water system by marine organisms, and the diversity and abundance data provide a theoretical basis for bioecological restoration and management of the area around the Ningde NPP. Full article

Income inequality impedes rural economic development. As the digital economy advances, e-commerce (EC) offers a novel solution to reduce rural income inequality. Based on the framework of the equality of opportunity theory, this research utilizes data from China Rural Revitalization Survey, using the RIF model and mediation effect model to investigate the influence and mechanisms of e-commerce operations (EOs) on the farmers’ income gap (FIG), while also analyzing the heterogeneity of EO’s effects on the FIG. Consequently, the impact of the varying scales and modes of EOs on the FIG is further examined. The findings indicate that EO can substantially diminish the FIG, as corroborated by robustness and endogeneity tests. The findings of the intermediate effect indicate that EO diminishes the FIG by reducing the disparity in labor endowment. The heterogeneity study results indicated that EOs are more effective in reducing the FIG in western China, major grain-producing areas, and mountainous areas. Further discussion reveals a stronger reduction effect of large-scale and platform EC. This study provides micro-level evidence that the digital economy empowers farmers for sustainable development and prosperity. The government should improve rural EC support and create a mechanism for disadvantaged rural populations. To reduce EC development discrepancies and promote farmer equity, specific assistance programs for undeveloped regions are needed. Local governments can also strengthen skill training programs for farmers, especially low-income ones, to boost labor skills. Finally, they can assist rural EC’s transformation to large scale and flat, maximize its role in employment, and narrow the FIG. Full article

Background: Food allergy (FA) poses a major global health issue due to the increasing prevalence and lack of effective prevention strategies. Allergen-specific immunotherapy (AIT) has emerged as a disease-modifying therapy for FA. However, due to long-term treatment duration and unexpected adverse reactions, only a minority of patients benefit from AIT. Therefore, effective prophylactic interventions are urgently needed for FA patients. Methods: In this proof-of-concept study, using a well-established mRNA platform, we developed mRNA vaccine candidates encoding for the major egg white allergen Gal d2 and comprehensively evaluated their prophylactic efficacy against anaphylaxis in a Gal d2-induced allergic mouse model. Results: Two vaccine formulations, Gal d2 mRNA vaccine and Gal d2-IL-10 mRNA vaccine, both demonstrated potent ability in inducing allergen-specific IgG and Th1-type T cells. Importantly, the two vaccine formulations showed promise in preventing the onset of allergic disease, which is indicated by prevention of body temperature decline during anaphylaxis. Conclusions: We provided preliminary proof-of-concept evidence showing that the mRNA platform is unique and holds promise for the development of anti-allergy vaccines. This is largely attributed to the capacities of mRNA vaccines in eliciting an allergen-blocking antibody, shifting Th2 towards Th1 immunity, as well as in generating peripheral tolerance. However, further investigations are required to better understand the mode of action. Full article

The rapid expansion of China’s civil aviation sector, particularly within the Beijing-Tianjin-Hebei airport cluster, has led to significant airspace congestion and operational inefficiencies. This study develops a dynamic flight slot allocation model that integrates both airport and airspace capacity constraints, accounting for real-time fluctuations in resource availability. The model aims to optimize slot distribution, minimize delays, and enhance operational efficiency by adapting to variations in airport and waypoint capacities, offering a more flexible solution compared with traditional static approaches. A case study based on real-world data from the Beijing-Tianjin-Hebei region demonstrates the model’s effectiveness. Computational experiments show that incorporating capacity fluctuations significantly reduces the need for slot adjustments, particularly at secondary airports with volatile demand. The results indicate a marked improvement in operational efficiency, including reduced adjustment times and fewer affected flights. This research underscores the value of adaptive data-driven strategies in managing complex air traffic systems and provides valuable insights for policymakers and aviation authorities. Future research could extend this work by incorporating additional dynamic factors, such as weather conditions and emerging technologies, to further enhance the sustainability and efficiency of air traffic management. Full article

Background: Branched-chain amino acids (BCAAs, isoleucine, leucine, and valine) are commonly applied to promote muscle protein synthesis. However, the effects of BCAAs on exercise-induced substrate metabolism, performance and post-exercise fatigue during endurance exercise remain unclear. Methods: In a double-blind cross-over design, eleven active males completed 1 h of constant load exercise (CLE) at 60% VO₂max power followed by a time to exhaustion (TTE) test at 80% VO₂max power after supplementation with BCAAs or placebo on consecutive three days. During exercise, indirect calorimetry was used to measure the carbohydrate (CHO) and fat oxidation rate, as well as the cycling efficiency. In addition, rating of perceived exertion (RPE) and visual analogue scale (VAS) scores were obtained at interval times during the whole period. Fingertips and venous blood (n = 8) were collected for the measurement of metabolic responses at different time points during exercise. Results: Compared to the placebo group, the fat oxidation rate was significantly higher after 20 and 30 min of CLE (p < 0.05). The CHO oxidation rates showed a significant increase in the BCAA group during TTE (p < 0.05). Meanwhile, the cycling efficiency during TTE was significantly improved (p < 0.05). Interestingly, VAS significantly decreased post-exercise in the BCAA group (p < 0.05). Additionally, the levels of blood insulin between the two groups were significantly higher in the post-exercise period compared to the pre-exercise periods (p < 0.001), while insulin levels were significantly lower in the post-exercise period with supplemental BCAAs compared to the placebo (p < 0.001). BCAAs also enhanced the levels of blood ammonia in the post-exercise period compared to the fasting and pre-exercise periods (BCAA: p < 0.01; Placebo: p < 0.001). However, in the post-exercise period, blood ammonia levels were significantly lower in the BCAA group than in the placebo group (p < 0.05). Conclusions: This study shows the critical role of BCAAs during exercise in active males and finds that BCAA supplementation enhanced fat oxidation during the CLE, increased carbohydrate oxidation and exercise efficiency during the TTE, and reduced immediate post-exercise fatigue. Full article

Background: Radioresistance remains a significant obstacle in lung cancer radiotherapy, necessitating novel strategies to enhance therapeutic efficacy. This study investigated the radiosensitizing potential of a soybean lecithin–gallic acid complex (SL–GAC) in non-small cell lung cancer (NSCLC) cells and explored its underlying ferroptosis-related mechanisms. SL–GAC was synthesized to improve the bioavailability of gallic acid (GA), a polyphenol with anticancer properties. Methods: NSCLC cell lines (A549 and H1299) and normal bronchial epithelial cells (BEAS-2B) were treated with SL–GAC, ionizing radiation (IR), or their combination. Through a series of in vitro experiments, including cell viability assays, scratch healing assays, flow cytometry, and Western blot analysis, we comprehensively evaluated the effects of SL-GAC on NSCLC cell proliferation, migration, oxidative stress, and ferroptosis induction. Results: SL–GAC combined with IR synergistically suppressed NSCLC cell proliferation and migration, exacerbated oxidative stress via elevated ROS and malondialdehyde levels, and induced mitochondrial dysfunction marked by reduced membrane potential and structural damage, whereas no significant ROS elevation was observed in BEAS-2B cells. Mechanistically, the combination triggered ferroptosis in NSCLC cells, evidenced by iron accumulation and downregulation of Nrf2, SLC7A11, and GPX4, alongside upregulated ACSL4. Ferrostatin-1 (Fer-1), a ferroptosis inhibitor, reversed these effects and restored radiosensitivity. Conclusions: Our findings demonstrate that SL–GAC enhances NSCLC radiosensitivity by promoting ferroptosis via the Nrf2/SLC7A11/GPX4 axis, highlighting its potential as a natural radiosensitizer for clinical translation. Full article

Two novel marine hydrogen- and sulfur-oxidizing bacteria, designated HSL1-7^T and HSL3-1^T, were isolated from mangrove sediments from Fujian Province, China. Strain HSL1-7^T exhibited Gram-negative, rod-shaped to slightly curved morphology with polar flagellum-driven motility, whereas strain HSL3-1^T was Gram-negative, rod-shaped and non-motile. Strain HSL1-7^T and HSL3-1^T were obligate chemolithoautotrophs, capable of using molecular hydrogen and thiosulfate as an energy source, and molecular oxygen and elemental sulfur as the electron acceptors for growth. Cellular fatty acid profiles revealed similar predominant components (C_16:1ω7c, C_16:0, C_18:1ω7c, and C_14:0) in both strains. Strains HSL1-7^T and HSL3-1^T were strongly diazotrophic, as demonstrated by ¹⁵N₂ fixation when a fixed nitrogen source was absent from the growth medium. The DNA G+C contents of strains HSL1-7^T and HSL3-1^T were determined to be 36.1% and 57.3%, respectively. Based on the 16S rRNA gene sequences, strains HSL1-7^T and HSL3-1^T exhibited the highest sequence similarities with Sulfurimonas marina B2^T (98.5% and 94.45%, respectively). Notably, the 16S rRNA gene sequence similarity between strains HSL1-7^T and HSL3-1^T was 93.19%, indicating that they represent distinct species within the genus Sulfurimonas. Comparative genomic analyses revealed the presence of diverse metabolic profiles in strains HSL1-7^T and HSL3-1^T, including carbon fixation, hydrogen oxidation, sulfur oxidation, and nitrogen fixation. The combined phenotypic, chemotaxonomic, and phylogenetic evidence, including average nucleotide identity and in silico DNA-DNA hybridization values, shows that strains HSL1-7^T and HSL3-1^T represent two novel species of the genus Sulfurimonas for which the names Sulfurimonas microaerophilic sp. nov. and Sulfurimonas diazotrophicus sp. nov. are proposed, with the type strains HSL1-7^T (=MCCC 1A18899^T = KCTC 25640^T) and HSL3-1^T (=MCCC 1A18844^T), respectively. Full article

Trihelix transcription factors (TFs) play crucial roles in plant growth, development, and environmental adaptation. However, there have been no systematic studies on the trihelix gene family in watermelon (Citrullus lanatus). A comprehensive study of trihelix genes in watermelon could provide new insights into its evolution and breeding potential. In this study, we identified 29 watermelon trihelix genes and analyzed their genome-wide information, molecular evolution, and expression patterns. The 29 watermelon trihelix genes were distributed across 12 chromosomes and grouped into five subfamilies. Evolutionary analysis revealed that four watermelon trihelix genes were collinear with six trihelix genes in Arabidopsis thaliana, and 20 watermelon trihelix genes were collinear with 20 trihelix genes in cucumber (Cucumis sativus). Gene duplication event analysis suggested that the expansion of the trihelix gene family mainly occurred through segmental duplications. Gene expression analysis showed distinct expression patterns of trihelix genes in watermelon, with evidence of tissue-specific expression. Furthermore, expression pattern analysis of watermelon trihelix genes in response to stress revealed that the Cla97C10G2055470 gene was associated with the response to salt stress, while the Cla97C06G127520 gene was associated with watermelon resistance to SqVYV disease. In conclusion, the phylogenetic, evolutionary, and expression analyses of the trihelix gene family in watermelon provide a solid foundation for future functional studies. Full article

Phosphate resources are non-renewable and are increasingly depleting. Currently, the primary raw material for commercial ABC dry powder fire-extinguishing agents is a processed product derived from the limited reserves of phosphorus ore. Consequently, there is an urgent imperative to innovate and develop novel types of dry powder fire-extinguishing agents. In this work, a simple physical blending process was utilized to modify the abundant and cost-effective hydromagnesite (HM) powder, which has been proven to be a promising dry powder extinguishant with a pronounced physical cooling effect on fire suppression. The HM powder added to 10 wt.% diammonium hydrogen phosphate (DAP) showed a shorter extinguishing time and a lower agent dosage compared with the unmodified powder and commercially available monoammonium phosphate (MAP) in both the liquid and solid fire experiments. Notably, the HM/DAP composite dry powder extinguished fires with the lowest CO concentration, indicating superior environmental friendliness and human safety. These findings indicate the potential of the HM/DAP composite dry powder as a promising candidate for future fire-extinguishing applications. Full article

This study aimed to determine the chemical composition of five Lavender essential oils (LEOs) using the gas chromatography–mass spectroscopy technique and to assess their antibacterial activity against four marine Vibrio species, including Shewanella algae, Shewanella maridflavi, Vibrio harveyi, and Vibrio alginolyticus. Sensitivity tests were performed using the disk diffusion and serial dilution methods. The results showed that all five LEOs exhibited antibacterial activity against the four tested marine Vibrio species. The antibacterial activities of all five LEOs were above moderate sensitivity. The five LEOs from French blue, space blue, eye-catching, and true Lavender showed high sensitivity, particularly against Shewanella maridflavi. The compounds of LEOs from different varieties of Lavender were similar and mainly comprised linalool, linalyl acetate, eucalyptol, and isoborneol. Different varieties of LEOs possessed unique components besides common components, and the percentage of each one was different, which led to different fragrance loads. The major fragrances were lily of the valley, an aromatic compound fragrance, and an herbal fragrance. The antibacterial activity of LEO from eye-catching Lavender was better than that of others, which could provide a reference for its application in the prevention and control of marine Vibrio spp. and the development of antibacterial products. Full article

Purpose: We constructed a prediction model to predict a 2-year locoregional recurrence based on the clinical features and radiomic features extracted from the machine learning method using computed tomography (CT) before definite chemoradiotherapy (dCRT) in locally advanced esophageal cancer. Patients and methods: A total of 264 patients (156 in Beijing, 87 in Tianjin, and 21 in Jiangsu) were included in this study. All those locally advanced esophageal cancer patients received definite radiotherapy and were randomly divided into five subgroups with a similar number and divided into training groups and validation groups by five cross-validations. The esophageal tumor and extratumoral esophagus were segmented to extract radiomic features from the gross tumor volume (GTV) drawn by radiation therapists before radiotherapy, and six clinical features associated with prognosis were added. T stage, N stage, M stage, total TNM stage, GTV, and GTVnd volume were included to construct a prediction model to predict the 2-year locoregional recurrence of patients after definitive radiotherapy. Results: A total of 264 patients were enrolled from August 2012 to April 2018, with a median age of 62 years and 81% were males. The 2-year locoregional recurrence rate was 52.6%, and the 2-year overall survival rate was 45.6%. About 66% of patients received concurrent chemotherapy. In total, we extracted 786 radiomic features from CT images and the Principal Component Analysis (PCA) method was used to screen out the maximum 30 features. Finally, the Support Vector Machine (SVM) method was used to construct the integrated prediction model combining radiomics and clinical features. In the five training groups for predicting locoregional recurrence, the mean value of C-index was 0.9841 (95%CI, 0.9809–0.9873), and in the five validation groups, the mean value was 0.744 (95%CI, 0.7437–0.7443). Conclusions: The integrated radiomics model could predict the 2-year locoregional recurrence after dCRT. The model showed promising results and could help guide treatment decisions by identifying high-risk patients and enabling strategies to prevent early recurrence. Full article