Search Results (6,520)

The integration of service function chains (SFCs) and unmanned aerial vehicles (UAVs) lays a crucial technological foundation for achieving efficient, reliable, and adaptive future airborne service networks. Service functions (SFs) in the SFC will be deployed on UAVs; this type of SFC is called unmanned aerial vehicle-based service function chains (USFCs). However, due to the combined effects of open hardware and software architectures, exposed communication links, and complex mission environments, UAVs have become ideal targets for attackers. Once a vulnerability is successfully injected into a UAV, data from the SFs running on it will be stolen, seriously threatening the dependability of the USFC. Therefore, it is necessary to conduct a quantitative evaluation of the USFC dependability to provide insights for further improving its dependability. This paper develops a USFC dependability evaluation model based on a semi-Markov process (SMP) to capture the dynamic interaction between attacker behavior and USFC system recovery behavior. The dependability of the USFC is comprehensively evaluated from two perspectives: availability and security. Extensive numerical analysis experiments are conducted, and the results not only demonstrate the changing trends of various dependability metrics under different parameters but also show parameter combinations for synergistic optimization among metrics. Full article

Freeze–thaw damage significantly reduces the performance and durability of airport pavements in cold regions. Traditional assessment methods, such as the F300 freeze–thaw test, are time-consuming and hinder rapid optimisation of mix design. In addition, previous studies have mostly relied on long-term laboratory testing and have evaluated phase-change concrete (PCC) independently, without considering synergistic effects. These approaches lack fast, synergy-aware predictive capability and interpretable tools for mix proportion design, resulting in a gap between laboratory research and practical engineering applications. To address this issue, this study proposes an intelligent and explainable framework for predicting freeze–thaw damage and guiding mix design of steel fibre-reinforced phase-change concrete (SF–PCC). A boundary-controlled experimental programme was first conducted, varying steel fibre (SF) content from 0 to 1.2% and phase-change material (PCM) content from 0 to 12% under fixed mixture conditions. The freeze–thaw test results were recorded sequentially and used to construct a supervised learning dataset. Then, an XGBoost model was developed to predict two key durability indicators: relative dynamic modulus of elasticity (RDEM) and mass loss. SHAP (SHapley Additive exPlanations) analysis was further applied to quantify feature importance and interaction effects. The model achieved high predictive accuracy (R² = 0.9938 for mass loss and R² = 0.9935 for RDEM) under controlled experimental conditions. After 300 freeze–thaw cycles, the reference mix exhibited an RDEM of 61.2%, while optimised configurations showed improved performance. The economical design (9% PCM + 0.9% SF) achieved an RDEM of 66.8%, and the high-performance design (12% PCM + 1.2% SF) reached 72.6%. These results demonstrate that the proposed framework can effectively enhance durability and support rapid preliminary decision-making. The framework significantly accelerates freeze–thaw performance evaluation by enabling near-instant prediction and serves as an efficient supplementary tool for mix design optimisation alongside conventional laboratory testing. It also provides interpretable, data-driven insights for the design of freeze–thaw-resistant airport pavement concrete in cold regions. Full article

Suspended sediment concentration (SSC) and sediment flux (SF) are critical indicators of sediment delivery in the Lower Mekong and underpin deltaic geomorphic stability and ecosystem services. With recent evidence of declining sediment supply caused by upstream regulation and intensive in-channel extraction, there is a pressing need for data-efficient tools to reproduce non-linear sediment dynamics and assist management in the Vietnamese Mekong Delta (VMD). This study evaluates three machine-learning algorithms—Random Forest (RF), Support Vector Machine (SVM), and Extreme Gradient Boosting (XGBoost)—for data-driven prediction of SSC (2009–2023) and SF (2009–2021) at Tan Chau (Viet Nam). The predictive models were developed using daily discharge inputs from Kratie (Cambodia) and local hydrological data, including water levels and discharge, from the Tan Chau station. Across the held-out testing dataset, all models captured substantial variability in both targets, with consistently higher performance for SF than for SSC. RF achieved the highest skill (SSC: R² = 0.783; SF: R² = 0.867), followed by XGBoost and then SVM. Variable-importance analysis indicates that upstream discharge at Kratie is the most influential predictor for both SSC and SF, consistent with basin-scale hydrological forcing governing downstream sediment transport capacity. The observed record at Tan Chau further suggests an attenuation of wet-season SSC peaks during 2018–2022 relative to earlier years, signalling potential sediment-starvation dynamics that warrant continued monitoring. Overall, the results demonstrate the utility of ML-based sediment prediction models as a complement to conventional monitoring and as an evidence base to inform sediment-aware river–delta management and risk mitigation in the Lower Mekong. Full article

Background: Atopic dermatitis (AD) is a chronic inflammatory skin disease that is often associated with cutaneous pain. The objective of this study was to evaluate the impact of cutaneous pain on the prevalence of anxiety, depression, quality of life (QoL) and stigmatization in patients with AD. Methods: A cross-sectional study was conducted on a group of 113 adults with AD (61% females; mean age 34.48 ± 13.20 years). The severity of AD was evaluated using the Eczema Area and Severity Index (EASI). The intensity of cutaneous pain in the past week was measured using a Numerical Rating Scale (NRS), a Short Form McGill Pain Questionnaire (SF-MPQ) and a Visual Analogue Scale (VAS). Psychosocial burden was evaluated using the Hospital Anxiety and Depression Scale (HADS), the Anxiety Generalized Disorder-7 (GAD-7), the Patient Health Questionnaire-9 (PHQ-9), the Dermatology Life Quality Index (DLQI) and the 6-Item Stigmatization Scale (6-ISS). Results: Individuals with AD who reported cutaneous pain in the past week scored significantly higher in HADS (p < 0.001), HADS-A (p < 0.001), HADS-D (p = 0.002), GAD-7 (p < 0.001), PHQ-9 (p < 0.001), DLQI (p < 0.001) and 6-ISS (p < 0.001) than the rest of the cohort. More individuals with cutaneous pain had anxiety (36 (48.0%) vs. 7 (18.4%), p = 0.002), depression (21 (28.0%) vs. 2 (5.3%), p = 0.006) and abnormal HADS scores (46 (61.3%) vs. 9 (23.7%), p < 0.001) compared to the rest of participants. Significant correlations were observed between all studied pain assessment tools and all studied psychometric assessments. Conclusions: The prevalence and severity of anxiety, depression, stigmatization, and impaired QoL are higher in adults with AD suffering from cutaneous pain compared to those without pain. This symptom is significantly associated with disease burden. Full article

The development of all-concrete liquefied natural gas (LNG) storage tanks is hindered by the susceptibility of conventional concrete to ultra-low temperature (ULT) cycling down to −70 °C. While redispersible polymer powder (RPP) and polypropylene (PP) fibers individually enhance performance, their combined effect in various mineral admixture systems remains unclear. This study investigates the synergy and selective compatibility in hybrid-modified concrete containing fly ash (FA), silica fume (SF), or slag (SG). Comprehensive assessments after 50 ULT cycles reveal that the efficacy of hybrid modification is intrinsically governed by the mineral admixture. Among all systems, the silica fume-based hybrid system (EPSF) exhibits the highest residual compressive strength (57.5 MPa), the lowest strength loss (6.7%), and the most balanced durability. Microstructural analysis reveals that this synergy arises from a dense matrix, continuous polymer network, and effective fiber bridging—achieved only when the mineral admixture enables uniform RPP distribution. In contrast, the FA system exhibits a strength–durability trade-off, with RPP localized at interfaces, while the SG system shows a polymer-activated hydration mechanism. Microstructural and nano-mechanical analyses confirm that RPP acts as a pore filler in cement, an interfacial modifier in FA, a cohesive network former in SF, and a hydration activator in SG. This work establishes that superior ULT resilience requires not merely additive modifications but a matrix-enabled synergy, providing a scientific basis for the rational design of cryogenic concrete. Full article

Objective: Clinical remission is a major therapeutic goal in systemic lupus erythematosus (SLE) because of its association with improved long-term outcomes. However, its relationship with patient-reported burden, quality of life, and disease perception remains incompletely understood. This study aimed to evaluate patient-reported outcomes (PROs) in patients with SLE in clinical remission, identify factors associated with impaired health-related quality of life (HRQoL), and assess physician–patient discordance in disease activity perception. Methods: A total of 106 adult patients with SLE in clinical remission according to the definition proposed by Zen et al. were enrolled at a single rheumatology center. Patients were classified into complete remission, clinical remission off corticosteroids, or clinical remission on corticosteroids. Demographic, clinical, and treatment-related data were collected, including organ damage (SLICC-SDI) and disease activity (SLEDAI-2K). Patients completed PRO measures including SF-36, Global Health (GH), pain VAS, STAI-Y1 and STAI-Y2, Zung Depression Scale, Insomnia Severity Index, and HAQ. Disease activity was assessed by both the patient (PGA) and the physician (PhGA); a PGA–PhGA difference >25 mm was considered clinically relevant discordance. Results: Among patients in clinical remission, mild anxiety was observed in 17.1% according to STAI-Y1 and in 27.9% according to STAI-Y2, mild-to-moderate depressive symptoms in 47.1%, and mild insomnia in 25.5%. Of the 106 patients, 24 (22.6%) were in complete remission, 27 (25.5%) in clinical remission off corticosteroids, and 55 (51.9%) in clinical remission on corticosteroids. Patients in clinical remission on corticosteroids showed worse patient-reported outcomes than those in complete remission or clinical remission off corticosteroids. In multivariable analyses, poorer physical HRQoL was independently associated with functional disability, pain intensity, and depressive symptoms, whereas poorer mental HRQoL was independently associated with trait and state anxiety. Clinically relevant physician–patient discordance was observed in 22.6% of the cohort and was almost exclusively driven by higher patient than physician scores. Pain intensity emerged as the most robust independent correlate of discordance. Conclusions: A substantial patient-reported burden may persist in patients with SLE despite clinical remission. Pain, psychological distress, insomnia, and functional disability contribute to impaired HRQoL, while physician–patient discordance appears to reflect a broader mismatch between inflammatory disease control and the patient’s lived experience of illness. These findings support a more comprehensive and patient-centered approach to remission assessment in SLE. Full article

Reclaimed asphalt pavement (RAP) is a large but underutilized resource for sustainable concrete production; however, its use in structural applications is limited by concerns regarding reduced workability and durability. This study investigates the interactions between RAP and silica fume (SF) as well as superplasticizer (SP), and identifies optimal RAP concrete mixtures through the individual incorporation of SF and SP to enhance workability, durability-related indicators, water absorption, and density. RAP replaced 0–100% of coarse aggregate, SF was added at 0–21%, and SP at 0–2.1%, with a fixed water–cement ratio of 0.48. Six mix categories were prepared: control, RAP, SF, SP, RAP–SF, and RAP–SP. SF and SP were examined separately to isolate their interactions with RAP before they were combined with other cementitious materials. RAP increased slump via a lubricating effect but increased water absorption, with the density stabilizing at 50% RAP and peaking at 75% RAP due to improved particle packing. Although SF’s influence was limited by the fixed w/c ratio, in moderate-to-high (50–100%) RAP mixes it achieved very low water absorption (≤1.1%) and increased density (up to 7.6%), confirming its pore-refinement effect. SP achieved the greatest workability gains (up to 58% slump increase) at high RAP levels but contributed less to durability, highlighting SF’s stronger pore-refinement role. Most RAP–SF and RAP–SP mixes satisfied severe-environment durability limits, confirming their potential for sustainable, high-performance RAP concrete without compromising structural reliability. Full article

Background/Objectives: Fibromyalgia is a painful syndrome with biopsychosocial components that predominantly affects middle-aged women. This study aimed to evaluate changes in sleep quality and quality of life following intravenous (IV) lidocaine treatment in patients with fibromyalgia (FM). Methods: This retrospective observational study included patients diagnosed with fibromyalgia who underwent intravenous lidocaine treatment at a tertiary pain clinic between June 2023 and June 2024 and had a Pittsburgh Sleep Quality Index (PSQI) score > 5. The patients’ demographic data, Fibromyalgia Impact Questionnaire (FIQ) scores at baseline and at 1 and 3 months post-treatment, Numerical Rating Scale (NRS-11) scores, Short Form-12 (SF-12) mental and physical component scores (MCS-12, PCS-12), and PSQI scores were recorded. Results: Overall, 51 patients were included. 92.2% of the patients were women, with a mean age of 41.6 ± 9.5 years. Statistically significant reductions in NRS-11, FIQ, and PSQI scores and increases in SF-12 component scores were observed at 1 and 3 months compared with baseline (p < 0.001). Negative correlations were found between NRS-11 and PCS-12 and MCS-12, and a positive correlation was found between FIQ and PSQI. Sleep quality showed a marked improvement at 1 month; however, attenuation of this benefit was observed at the 3-month follow-up. Conclusions: Sleep quality appeared to be associated with short-term functional outcomes, whereas pain intensity was associated with mid-term clinical status in patients with fibromyalgia. Prospective randomized controlled trials are required to confirm these findings and to determine optimal dosing and treatment schedules. Full article

The detection of sulfur hexafluoride (SF₆) decomposition products is critical for diagnosing insulation faults in gas-insulated switchgear (GIS). In this study, a vanadium-doping strategy was incorporated into the graphene/MoS₂ (GM) heterojunction to design a vanadium-doped graphene/MoS₂ (GMV) heterojunction material. Leveraging first-principles density functional theory (DFT), the adsorption behaviors of five characteristic SF₆ and its decomposition gases (H₂S, SO₂, SOF₂, SO₂F₂) on intrinsic GM and GMV were systematically investigated to evaluate their potential for gas sensing applications. Computational results reveal that intrinsic GM exhibits only weak physical adsorption toward all target molecules, with low adsorption energies and negligible charge transfer, which fails to meet practical application requirements. In contrast, GMV demonstrates significantly enhanced adsorption energies for H₂S, SO₂, and SOF₂ at vanadium sites (with a maximum value of −0.388 eV for SO₂) and shorter adsorption distances, while SO₂F₂ and SF₆ preferentially adsorb near electron-deficient carbon regions. Intrinsic GMV displays semimetallic properties, with a Fermi level at 0.126 eV and a band gap of 0.0017 eV. Upon adsorption of H₂S, SOF₂, SO₂F₂, or SF₆, the Fermi level undergoes a moderate shift (ranging from −1.083 eV to +0.349 eV), with minimal changes in the band gap. Conversely, SO₂ adsorption induces a substantial downward shift of the Fermi level to −1.732 eV, accompanied by the emergence of a sharp partial density of states (PDOS) peak near the Fermi level (0–1.5 eV), indicating strong orbital coupling and significant charge transfer. Furthermore, recovery times calculated using classical formulas show that at room temperature and a frequency of 1 × 10⁶ Hz, the recovery time of GMV for SO₂ is 2.43 s, outperforming the other four gases and satisfying practical gas sensing requirements. Through comprehensive analysis of adsorption distances, electronic structure changes, and recovery times, GMV exhibits higher selectivity toward SO₂. Thus, GMV can serve as a sensing material for detecting GIS insulation faults associated with elevated SO₂ concentrations, offering a viable strategy for advancing online monitoring technologies in power systems. Full article

Lipid nanodiscs are synthetic nanoparticles capable of solubilizing lipophilic drugs and have been shown to improve the potency of the antifungal Amphotericin B (AmphB) against various fungal pathogens. In this study, the SpyCatcher–SpyTag covalent labeling system was used to couple AmphB-loaded Apolipoprotein A1 (ApoA1) lipid nanodiscs to the receptor domain of Dectin-1, which binds to β-1,3/1,6 glucans present in many fungal cell walls. Denaturing protein gel electrophoresis demonstrated that ApoA1-SpyTag003 lipid nanodiscs could be covalently labeled with SpyCatcher003-Dectin-1-superfolder GFP (sfGFP). In microtiter growth assays with Saccharomyces cerevisiae, Dectin-1 AmphB nanodiscs displayed an IC₅₀ 1.5-fold lower than uncoupled AmphB nanodiscs and 2.8-fold lower than AmphB-only controls. Nanodiscs without AmphB and SpyCatcher003-Dectin-1-sfGFP themselves did not inhibit yeast growth. Fluorescence microscopy showed that SpyCatcher003-Dectin-1-sfGFP binds to yeast cell walls and accumulated at hot spots, matching the budding scar enrichment pattern previously described for other Dectin-1 fusion proteins. Together these results indicate that Dectin-1 fusions can target AmphB-loaded lipid nanodiscs to fungal cell walls and improve drug delivery. The results here establish the use of a modular SpyCatcher–SpyTag coupling system for targeting drug-loaded lipid nanodiscs to different cells or tissues, thereby increasing drug retention at infection sites, increasing drug potency, and reducing harmful side-effects. Full article

Patients undergoing hemodialysis often experience reduced quality of life, with psychological symptoms and nutritional risk representing important determinants of patient functioning. This study aimed to examine the relationships between depression, anxiety, stress, nutritional risk, mental health, and physical functioning in patients undergoing hemodialysis, with particular emphasis on the mediating role of mental health. A cross-sectional study was conducted among 199 patients receiving hemodialysis in five Croatian hospitals. Depression, anxiety, and stress were assessed using the DASS-42, quality of life using the SF-36, and nutritional risk using the NRS-2002. Associations between variables were examined using Spearman’s correlation coefficient, while structural equation modeling was used to analyze direct and indirect relationships among psychological symptoms, nutritional risk, mental health, and physical functioning. Depression and stress showed significant negative effects on mental health, while mental health showed a significant positive effect on physical functioning. Nutritional risk had a significant direct negative effect on physical functioning. Mental health significantly mediated the relationship between depression and stress and physical functioning. These findings indicate that psychological symptoms and nutritional risk are important determinants of functioning and quality of life in hemodialysis patients and support the need for an integrated care approach that includes regular psychological and nutritional screening. Full article

The production of cement is associated with significant CO₂ emissions, while the escalating volume of solid waste poses severe environmental challenges. To reduce the dependence on cement and fully utilize solid waste materials to address these challenges, this study prepared alkali-activated concrete by completely replacing cement with solid waste materials (slag, fly ash, and silica fume). Research was conducted on the optimization of material mix design and fiber reinforcement. From macro–micro perspectives and through advanced characterization methods (SEM, XRD, and TG), the action mechanism of activator concentration and precursor material content on alkali-activated concrete was revealed, as well as the influence law of glass fiber on material properties. Meanwhile, the optimal activator concentration, precursor material content and fiber content were determined. The results show that appropriately increasing the activator concentration and slag proportion can effectively promote the formation of cementitious products, thereby improving the mechanical properties of the material. However, excessive alkalinity will lead to an uncontrolled reaction and adverse effects. The addition of fibers significantly enhances the mechanical properties of the material, especially the flexural strength. When the fiber content is 1.8%, the flexural strength is increased by 45.16%. This work establishes a sustainable pathway for construction materials, while addressing industrial waste management and carbon neutrality goals. Full article

Background: Malignant salivary gland tumors represent a highly diverse group of neoplasms, their heterogeneity likely arising due to variable origin in different tissue components. Emerging evidence suggests that SOX-2 and EZH-2 play critical roles in salivary gland carcinogenesis, being related to tumor cell stemness potential, along with accelerated tumor progression and unfavorable clinical outcomes. The aim of this study was to assess the association between SOX-2 and EZH-2 expression, survival parameters, and tumors’ pathological characteristics in a group of patients with primary epithelial malignant salivary gland tumors (MSGTs) and to evaluate their value as diagnostic and prognostic markers. Methods: Our study group comprised 104 patients with primary epithelial MSGTs diagnosed in “Sf. Spiridon” County Hospital, Iasi, over a period of fifteen years. Pathological parameters and survival evaluation, along with SOX-2 and EZH-2 immunohistochemistry assessment and scoring, were conducted, and the associations between different parameters were analyzed. Results: High SOX-2 immunoexpression was significantly associated with lymphatic invasion (LY) (p = 0.003), pT stage (p = 0.010), histological tumor type (p = 0.003), and tumor grading (p = 0.037), while high EZH-2 immunoexpression was significantly associated with perineural invasion (PnI) (p < 0.001), vascular invasion (p = 0.038), LY (p = 0.001), tumor grading (p = 0.002), and pathological extranodal extension (pENE) (p = 0.018). The tumors with high SOX-2 and EZH-2 expressions were associated with a reduced overall survival (OS) (p = 0.013 and p = 0.011). Cox regression analysis revealed that pT (HR = 1.826, p = 0.019), LY (HR = 0.318, p = 0.007), and tumor grade (HR = 0.505, p = 0.021) added to high SOX-2 and EZH-2 immunoexpression independently predicted a poor survival outcome (HR = 2.373, p = 0.016 and HR = 2.746, p = 0.015). Conclusions: Our findings suggest that SOX-2 and EZH-2 may serve as biomarkers of aggressive behavior and a poor prognosis in primary epithelial MSGTs, providing potential opportunities for precision-targeted therapies. Full article

The fall armyworm (Spodoptera frugiperda) is a major global migratory pest. Its increasing insecticide resistance poses a severe threat to food security. Developing biopesticides such as SfMNPV is critical for sustainable control. Nevertheless, the early molecular mechanisms underlying the S. frugiperda midgut response to oral SfMNPV challenge remain poorly understood. This study utilized high-throughput transcriptome sequencing to systematically characterize the dynamic transcriptional profiles of the larval midgut at 1, 12, and 24 h after oral SfMNPV inoculation. Results showed that the midgut transcriptional response to SfMNPV is time and stage-specific. During this period, the physical midgut barrier underwent remodeling, with core components of the peritrophic matrix downregulated at 1 h, followed by the basal lamina at 12 h, alongside the activation of cytoskeleton genes during 12–24 h. Concurrently, sustained endoplasmic reticulum stress, autophagy, and ubiquitin system responses occurred from 12 to 24 h. At the metabolic level, the defense system exhibited a functional succession, shifting from ABC transporters and UDP-glycosyltransferases at 1 h to glutathione S-transferases and superoxide dismutase at 12–24 h. Additionally, the midgut tissue exhibited a cascade transition from pro-apoptotic signaling at 1 h to compensatory regenerative repair mediated by the Wnt, mTOR, and Hippo pathways at 12–24 h. This study elucidates the molecular process of barrier damage, homeostatic imbalance, and tissue remodeling during early oral SfMNPV challenge. These findings provide a global perspective on baculovirus-host interactions and establish a theoretical foundation for designing novel biopesticides targeting the midgut interaction. Full article

Precise measurement of particle concentration in dilute gas–solid two-phase flows is challenging due to low particle loading and stochastic particle motion, which lead to weak signals and detection blind zones. This study develops a swirling-flow-enhanced triboelectric nanogenerator (SF-TENG) using active flow field regulation to enhance particle–wall interactions. Through CFD optimization of guide vane geometry, the SF-TENG achieved a nearly twenty-fold increase in short-circuit current compared to non-swirling configurations. The swirling flow exhibited a particle-size-dependent enhancement mechanism. For fine particles, the improvement was mainly attributed to an increased collision ratio. For coarse particles, it resulted from enhanced charge transfer per single impact. The swirling flow continuously improved the reliability and sensitivity of detection across all particle sizes. These findings provide valuable insights for designing highly sensitive, self-powered flow meters with minimized blind zones for gas–solid monitoring. Full article