Search Results (8,577)

This study investigated the role of miR-144 in mitigating oxidized fish oil (OFO)-induced muscle oxidative stress and quality deterioration in Megalobrama amblycephala. The feeding trial was conducted for 5 weeks, and four experimental diets were formulated, namely NC (fresh fish oil), OF (OFO), OF + ago (OFO and miR-144 agomir), and OF + anta (OFO and miR-144 antagomir). Histological results showed that OFO significantly reduced myofiber density (from 758.00 ± 13.69 to 636.57 ± 13.44 N/mm²) and decreased the percentage of myofibers with diameters > 50 μm (from 53.45% to 38.52%). OFO intake significantly increased the content of malondialdehyde (MDA), protein carbonyl (PC), advanced oxidation protein product (AOPP), and 3-nitrotyrosine (3-NT), and significantly decreased superoxide dismutase (SOD) and glutathione peroxidase (GPx) activity in muscle. OFO treatment significantly up-regulated the expression of inflammatory factors (NF-κB, TNF-α, HO-1, and IL-6), significantly down-regulated NQO1. Moreover, OFO reduced muscle differentiation and maturation by down-regulating the expression of MyoG, MYHC1, and protein synthesis genes (AKT3, TOR, and S6K1), and up-regulating the expression of protein hydrolysis genes (FoxO3a, MuRF1, HSP70, Beclin-1, P62, and ATG8). Moreover, miR-144 agomir exacerbated OFO-induced muscle damage by suppressing Nrf2, whereas miR-144 antagomir mitigated these effects. Silencing miR-144 re-activates Nrf2, alleviating oxidative damage, enhancing protein deposition, and improving muscle quality. These findings suggest that targeting the miR-144/Nrf2 axis could counteract OFO-induced muscle deterioration. Full article

One-part geopolymers (OPG) offer a low-carbon alternative to Portland cement, yet mix design remains largely empirical. This study couples machine learning with SHAP (Shapley Additive Explanations) to quantify how mix and curing factors govern performance in Ca-containing OPG. We trained six regressors—Random Forest, ExtraTrees, SVR, Ridge, KNN, and XGBoost—on a compiled dataset and selected XGBoost as the primary model based on prediction accuracy. Models were built separately for four targets: compressive strength at 3, 7, 14, and 28 days. SHAP analysis reveals four dominant variables across targets—Slag, Na₂O, Ms, and the water-to-binder ratio (w/b)—while the sand-to-binder ratio (s/b), temperature, and humidity are secondary within the tested ranges. Strength evolution follows a reaction–densification logic: at 3 days, Slag dominates as Ca accelerates C–(N)–A–S–H formation; at 7–14 days, Na₂O leads as alkalinity/soluble silicate controls dissolution–gelation; by 28 days, Slag and Na₂O jointly set the strength ceiling, with w/b continuously regulating porosity. Interactions are strongest for Slag × Na₂O (Ca–alkalinity synergy). These results provide actionable guidance: prioritize Slag and Na₂O while controlling w/b for strength. The XGBoost+SHAP workflow offers transparent, data-driven decision support for OPG mix optimization and can be extended with broader datasets and formal validation to enhance generalization. Full article

Electronic health records (EHRs) are typically stored in relational databases, making them difficult to query for nontechnical users, especially under privacy constraints. We evaluate two practical clinical NLP workflows, natural language to SQL (NL2SQL) for EHR querying and retrieval-augmented generation for clinical question answering (RAG-QA), with a focus on privacy-preserving deployment. We benchmark nine large language models, spanning open-weight options (DeepSeek V3/V3.1, Llama-3.3-70B, Qwen2.5-32B, Mixtral-8 × 22B, BioMistral-7B, and GPT-OSS-20B) and proprietary APIs (GPT-4o and GPT-5). The models were chosen to represent a diverse cross-section spanning sparse MoE, dense general-purpose, domain-adapted, and proprietary LLMs. On MIMICSQL (27,000 generations; nine models × three runs), the best NL2SQL execution accuracy (EX) is 66.1% (GPT-4o), followed by 64.6% (GPT-5). Among open-weight models, DeepSeek V3.1 reaches 59.8% EX, while DeepSeek V3 reaches 58.8%, with Llama-3.3-70B at 54.5% and BioMistral-7B achieving only 11.8%, underscoring a persistent gap relative to general-domain benchmarks. We introduce SQL-EC, a deterministic SQL error-classification framework with adjudication, revealing string mismatches as the dominant failure (86.3%), followed by query-join misinterpretations (49.7%), while incorrect aggregation-function usage accounts for only 6.7%. This highlights lexical/ontology grounding as the key bottleneck for NL2SQL in the biomedical domain. For RAG-QA, evaluated on 100 synthetic patient records across 20 questions (54,000 reference–generation pairs; three runs), BLEU and ROUGE-L fluctuate more strongly across models, whereas BERTScore remains high on most, with DeepSeek V3.1 and GPT-4o among the top performers; pairwise t-tests confirm that significant differences were observed among the LLMs. Cost–performance analysis based on measured token usage shows per-query costs ranging from USD 0.000285 (GPT-OSS-20B) to USD 0.005918 (GPT-4o); DeepSeek V3.1 offers the best open-weight cost–accuracy trade-off, and GPT-5 provides a balanced API alternative. Overall, the privacy-conscious RAG-QA attains strong semantic fidelity, whereas the clinical NL2SQL remains brittle under lexical variation. SQL-EC pinpoints actionable failure modes, motivating ontology-aware normalization and schema-linked prompting for robust clinical querying. Full article

The crystal structure of kuliokite-(Y), Y₄Al(SiO₄)₂(OH)₂F₅, has been re-investigated using the material from the type locality the Ploskaya Mt, Kola peninsula, Russian Arctic. It has been shown that in contrast to previous studies, the mineral is monoclinic, Im, with a = 4.3213(1), b = 14.8123(6), c = 8.6857(3) Å, β = 102.872(4)°, and V = 541.99(3) ų. The crystal structure was solved and refined to R₁ = 0.030 on the basis of 3202 unique observed reflections. The average chemical composition determined by electron microprobe analysis is (Y_2.96Yb_0.49Er_0.27Dy_0.13Tm_0.07Lu_0.05Ho_0.05Gd_0.01Ca_0.01)_Σ4.04Al_0.92Si_2.04O₈-[(OH)_2.61F_4.42]_Σ7.03; the idealized formula is (Y,Yb,Er)₄Al[SiO₄]₂(OH)_2.5F_4.5. The crystal structure of kuliokite-(Y) contains two symmetrically independent Y sites, Y1 and Y2, coordinated by eight and seven X anions, respectively (X = O, F). The coordination polyhedra can be described as a distorted square antiprism and a distorted pentagonal bipyramid, respectively. The refinement of site occupancies indicated that the mineral represents a rare case of HREE fractionation among two cation sites driven by their coordination numbers and geometry. In agreement with the lanthanide contraction, HREEs are selectively incorporated into the Y2 site with a smaller coordination number and tighter coordination environment. The strongest building unit of the structure is the [AlX₂(SiO₄)₂] chain of corner-sharing AlX₆ octahedra and SiO₄ tetrahedra running along the a axis. The chains have their planes oriented parallel to (001). The Y atoms are located in between the chains, along with the F⁻ and (OH)⁻ anions, providing the three-dimensional integrity of the crystal structure. Each F⁻ anion is coordinated by three Y³⁺ cations to form planar (FY₃)⁸⁺ triangles parallel to the (010) plane. The triangles share common edges to form [F₂Y₂]⁴⁺ chains parallel to the a axis. The analysis of second-neighbor coordination of Y sites allowed us to identify the structural topology of kuliokite-(Y) as the only case of the skd network in inorganic compounds, previously known in molecular structures only. The variety of anionic content in the mineral allows us to identify the potential existence of two other mineral species that can tentatively be named ‘fluorokuliokite-(Y)’ and ‘hydroxykuliokite-(Y)’. Full article

Metallocarboxypeptidase (MCP) is a crucial protein enzyme involved in food digestion and absorption in animals, which has a potential influence on the differentiation of the trophic niche. Considering that stomatopods have raptorial appendage-specific trophic niches, the present study screened and compared the MCP M14 gene family of three stomatopods (Lysiosquillina maculata, Odontodactylus scyllarus, and Oratosquilla oratoria) with different raptorial appendage morphologies based on full-length transcriptome information. There are 13 and 17 MCP M14 gene family members identified in L. maculata and O. scyllarus, respectively, which are classified as M14A, M14B, and M14D subfamilies. However, 15 MCP M14 family members have been identified in O. oratoria, all belonging to the M14A subfamily. The physicochemical properties, phylogenetic relationships, conserved motifs, and secondary and tertiary structures of the MCP M14 amino acid sequences were also analyzed in the present study. The results revealed that each amino acid sequence had unique physicochemical properties. Ten conserved motifs were further characterized across the MCP M14 amino acid sequences, and the type and number of motifs from the same subfamily remained highly conserved. Meanwhile, we found that most of the MCP M14 gene family members have critical residues (including Zn²⁺ binding sites [His69, Glu72, and His196], substrate-binding residues [Arg124, Arg127, and Arg145], and disulfide bond-forming residues [Cys138 and Cys161]) involved in disulfide bond formation and enzyme activity stabilization. Furthermore, the random coil is the predominant structural feature of the MCP M14 amino acid sequence. In conclusion, these results are undoubtedly valuable for exploring the evolution and regulation mechanisms of the trophic niche in stomatopods. Full article

Oroxylum indicum is a traditional food in Asia rich in flavonoids and health-related effects. However, research into the use of O. indicum as a functional food ingredient is overlooked. This review synthesized literature from 2010 to 2025 using the PRISMA framework, bibliometric mapping, and the Antecedents–Decisions–Outcomes (ADO) model. In total, 185 articles were included, covering in vitro, in vivo, in silico, and limited human investigations. Bibliometric analysis shows a growing global interest, with recent focuses on molecular docking, cancer, and conservation. Phytochemical investigations consistently report key flavonoids, including baicalein, baicalin, oroxylin A, chrysin, oroxin A, and oroxin B. Studies have linked these compounds to different health benefits, including antioxidants, cardiovascular, and neurological protection. Application of the ADO framework organized research into motives, methods, and outcomes, and highlighted scientifically validated ethnomedicinal uses, such as diabetes and liver protection. Meanwhile, gaps, including obesity-related studies, long-term safety, and clinical trials, remain. More importantly, although young fruits are locally consumed as vegetables or beverages, translation into functional foods is limited by bitterness, lack of standardized preparations, and insufficient dose–response data at dietary intakes. This review discusses the bioactive potential of O. indicum and outlines research priorities for its development in functional food. Full article

This study presents a comparative investigation of combustion and emission characteristics in a two-stroke MAN 5S35ME-B9.5 marine diesel engine equipped with a Controllable Pitch Propeller and an Exhaust Gas Recirculation system. Experimental data were obtained from both factory shop tests conducted under the IMO NOx Technical Code 2008 E2 cycle and sea trials performed onboard the T/S Baek-Kyung. Engine performance was evaluated under Tier II-FB, ecoEGR, and Tier III modes, focusing on specific fuel oil consumption, peak cylinder pressure, exhaust gas temperature, and regulated emissions. Results indicate that Tier III achieved the greatest NOx abatement, reducing emissions by up to 76.4% (1464 to 346 ppm), but with penalties of 16.8% higher SFOC and 45.2% higher CO₂ concentration. EcoEGR provided a more favorable compromise, reducing NOx by 52.3% while limiting SFOC increases to ≤15.4% and CO₂ increases to ≤30.9%. Strong correlations were observed between NOx, Pmax, and exhaust gas temperature, reaffirming fundamental trade-offs, while O₂ and CO correlations showed greater variability under sea operation. Despite operational scatter, sea trial results reproduced the key patterns observed in shop tests, confirming robustness across conditions. Overall, this correlation-based analysis provides quantified evidence of performance–emission trade-offs and offers a practical foundation for optimizing CPP-equipped two-stroke engines under varying EGR strategies. Full article

High-entropy boride (HEB) ceramics combine ultra-high melting points, superior hardness, and compositional tunability, enabling service in extreme environments; however, difficult densification and limited fracture toughness still constrain their aerospace applications. In this study, metallic Ta was introduced into high-entropy (Ti_0.2Zr_0.2Hf_0.2Nb_0.2Ta_0.2)B₂ as both a sintering aid and a toughening phase. Bulk HEB-Ta composites were fabricated by spark plasma sintering to investigate the effect of Ta content on densification behavior, microstructure, mechanical properties, and high-temperature oxidation resistance. The results show that an appropriate amount of Ta markedly promotes densification; at 10 vol% Ta, the open porosity reaches a minimum of 0.15%. Hardness and fracture toughness exhibit an increase-then-decrease trend with Ta content, attaining maxima at 15 vol% Ta (20.79 ± 0.17 GPa and 4.31 ± 0.12 MPa·, respectively). During oxidation at 800–1400 °C, the extent of oxidation increases with temperature, yet the composite with 10 vol% Ta shows the best oxidation resistance. This improvement arises from the formation of a viscous, protective Ta₂O₅-B₂O₃ glassy layer that effectively suppresses oxygen diffusion and enhances high-temperature stability. Overall, incorporating metallic Ta is an effective route to improve the manufacturability and service durability of HEB ceramics, providing a composition guideline and a mechanistic basis for simultaneously enhancing densification, toughness, and oxidation resistance. Full article

Safflower (Carthamus tinctorius L.) is a multipurpose economic crop. Flavonoid glycosides are its key bioactive constituents, and several glycosyltransferases involved in their biosynthesis have been identified. The glycosyltransferase 84 subfamily represents a specialized branch with diverse functions, involved not only in catalyzing flavonoid glycosylation but also in the biosynthesis of auxins, tannins, and other compounds. However, this subfamily remains poorly characterized in safflower. In this study, two UGT84 subfamily genes, UGT84A28 and UGT84B3, were screened based on expression patterns and phylogenetic evolution analysis. Recombinant proteins were induced and purified using prokaryotic expression systems. Functional characterization was subsequently conducted through enzymatic assays in vitro and transient expression in tobacco leaves. Molecular docking was employed to investigate the binding modes of UGTs with UDP-glucose. The results indicated that both UGTs demonstrated glycosylation activity at the flavonoid 7-OH position. Notably, when luteolin was employed as the aglycone, both enzymes also exhibited 3′-O-glycosylation activity. Combined with amino acid sequence alignment, we propose that residues A351/T343 and G263/F254, which affect spatial conformation and hydrogen bonding ability, may be one of the reasons for the functional differences between these two enzymes. These findings provide new insights into the catalytic diversity of glycosyltransferases. Full article

Introducing hierarchical structure into zeolites or synthesizing two-dimensional (2D) zeolite nanosheets have drawn much attention in catalysis and separation process due to the improvement in zeolites’ diffusion properties. In this study, Fe incorporated on the MFI zeolite framework (Fe-MFI) with the nanosheet morphology and unique hierarchical pore structure was successfully synthesized and applied for the adsorption and degradation of Rhodamine B (RhB) in a Fenton-like reaction in the presence of H₂O₂. The synthesis involved a seed-directed hydrothermal method in the presence of NH₄F and a subsequent NaOH treatment made the synthesized hierarchical Fe-MFI nanosheets (Fe-20-10) characterized by abundant highly dispersed framework Fe³⁺ species. As a result of these features, the Fe-20-10 showed excellent ability of adsorption and degradation efficiency of RhB, and enhanced durability due to negligible leaching of framework Fe³⁺ species. Moreover, the hydroxyl radicals were determined as the main the reactive oxygen species of RhB degradation, and a possible adsorption–degradation pathway was proposed. This work offers guidance for developing high-performance Fenton-like degradation catalysts. Full article

The development of efficient and sustainable advanced oxidation processes (AOPs) for organic pollutant removal is of great significance for water purification. In this study, a CoFeNi-layered double hydroxide (CoFeNi-LDH) catalyst was synthesized and applied for the simultaneous activation of peroxymonosulfate (PMS) and ozone to degrade rhodamine B (RhB) in aqueous solution. The CoFeNi-LDH/PMS/ozone system achieved a remarkable RhB removal efficiency of 95.2 ± 1.2% within 8 min under neutral pH conditions. Systematic parametric studies revealed that synergistic interactions among CoFeNi-LDH, PMS, and ozone contributed to the generation of reactive oxygen species (ROS), primarily sulfate radicals (SO₄^•−) and singlet oxygen (¹O₂), as confirmed by EPR and quenching experiments. Density functional theory (DFT) calculations demonstrated that ozone enhanced PMS adsorption and activation at CoFeNi catalytic sites. The catalyst exhibited robust magnetic recyclability and structural stability after repeated use. This work highlights a synergistic catalytic strategy for PMS/ozone activation, offering an effective and environmentally friendly platform for dye wastewater remediation. Full article

Objective: Merkel cell carcinoma (MCC) is a rare and aggressive form of skin cancer. Although immunotherapy has transformed MCC management, published data remain limited. This comprehensive review evaluates current evidence on immune checkpoint inhibitors (ICIs) in MCC, in relation to other treatment modalities such as surgery and radiotherapy. Methods: Peer-reviewed articles published between January 2000 and August 2025 were searched manually in four databases: Scopus, ScienceDirect, PubMed and MEDLINE, using the keywords “Merkel cell carcinoma” AND “immunotherapy” AND “immune checkpoint inhibitors”. The Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) methodology was employed. Results: ICIs can be given in different settings: (A) Neoadjuvant: The CheckMate 358 trial reported a 54.5% response rate among 33 radiologically evaluable patients treated with nivolumab, each showing over 30% tumor reduction. (B) Adjuvant: (1) The ADMEC-O phase II trial demonstrated improved disease-free survival with adjuvant nivolumab. (2) The ADAM phase III trial evaluates adjuvant avelumab in node-positive patients post-surgery/radiation, with common side effects including nausea, fatigue, and itching. (3) STAMP, a phase III trial, investigates pembrolizumab in stage I–III MCC. Both ADAM and STAMP have completed accrual and results are pending. (C) Primary therapy: KEYNOTE-017 and JAVELIN trials reported a 60% overall response rate and ~40% 3-year progression-free survival with first-line pembrolizumab or avelumab. Both agents also show promise as salvage therapies. Conclusions: ICIs demonstrate encouraging outcomes in MCC across various treatment stages. Continued research is essential to optimize treatment timing and integrate multimodal therapies. Full article

Background and Objectives: To examine the prevalence of fibromyalgia syndrome (FMS) in patients with psoriasis (PsO) and psoriatic arthritis (PsA) and its impact on treatment patterns and biologic therapy adherence. Materials and Methods: This retrospective cohort study utilized electronic health records from the Meuhedet Health Maintenance Organization in Israel between 2000 and 2020. PsO patients were matched 1:4 with controls by age, sex, and ethnicity. We assessed FMS prevalence, comorbidity burden, and treatment patterns. Cox regression and linear models evaluated the association between FMS and biologic switching and duration, adjusting for confounders. Results: Among 61,003 PsO patients and 244,012 controls, FMS prevalence was higher in PsO (3.3% vs. 2.3%, OR = 1.45, 95% CI: 1.38–1.53, p < 0.001). Among PsO patients, those with FMS were predominantly female (81.1% vs. 49.8%, p < 0.001) and had a higher prevalence of PsA (33.6% vs. 7.7%, p < 0.001). They received biologics more frequently (10.2% vs. 2.7%, p < 0.001) and were more likely to require multiple biologic lines (4.2% vs. 0.7%, p < 0.001). In PsA patients receiving biologics, FMS was associated with reduced survival on first-line therapy (6.1 vs. 10.1 years), increased switching risk (HR = 1.82, 95% CI: 1.42–2.35), and shorter treatment duration (B= −0.97 years, p = 0.001). Conclusions: In PsO patients, especially those with psoriatic arthritis, FMS is linked to greater treatment complexity and shorter biologic therapy survival, underscoring the need for tailored management strategies. Full article

Organic pollutants pose a significant threat to both the ecological environment and human health. In this study, BiVO₄@ZnO heterojunction composites were synthesized via a two-step hydrothermal method. The incorporation of polyhedral BiVO₄ onto the flower-like structure of ZnO effectively enhanced the photocatalytic performance of the composite. Compared with ZnO flower-like nanorods, the BiVO₄@ZnO heterojunction composite photocatalysts achieved degradation efficiencies of 93.18% (k = 0.09063) and 89.64% (k = 0.007661) for methylene blue (MB) within 30 min under ultraviolet and visible light irradiation, respectively. The photocatalytic activity of the BiVO₄@ZnO composites was also evaluated against various organic dyes, including rhodamine B (RhB), Congo red (CR), methyl orange (MO), and methylene blue (MB). Under ultraviolet light, the catalysts showed particularly high activity toward MB and CR. The enhanced photocatalytic performance can be attributed to two main factors: firstly, the heterojunction facilitates the separation of photogenerated electron-hole pairs, thereby improving photocatalytic efficiency; secondly, the composite exhibits a broadened and enhanced light absorption range. Furthermore, the BiVO₄@ZnO heterojunction composites demonstrate excellent cyclic catalytic stability and structural integrity. This study offers a clean and efficient strategy for the photocatalytic degradation of aqueous organic pollutants. Full article

The rapid dissemination of health misinformation on the Internet and social media has become a growing challenge for public health, particularly in terms of health information credibility. Promising efforts have been made to detect misinformation using generative AI and large language models (LLMs). However, such tools still lack domain-specific knowledge that limits their performance. In this study, we examine the use of predefined knowledge data structures in the forms of debunk lists to augment existing LLMs’ capabilities. We evaluate five different LLMs, including Llama-3.1-8B-instruct, Mistral-large, GPT-4o-mini, Claude-3.5-haiku, and Gemini-1.5-flash, under three experimental settings: zero-shot and debunk-augmented (50 and 100 entities). Results show that external knowledge, in the form of debunk lists, can notably improve LLMs’ performance in detecting misinformation. While Llama shows minimal benefit, the F1 score improvement ranges from 2.63% (GPT-4o) to 11% (Claude). In addition, analysis of model justifications shows that frequent use of debunk lists does not necessarily relate to accurate predictions. This highlights the importance of a model’s ability in effectively using the debunk list rather than reporting superficial integration of external knowledge. Moreover, the proposed framework is generalizable to other misinformation domains and provides key insights for applying external knowledge and evaluating LLMs’ reasoning reliability. Full article