Search Results (2,329)

This study examines whether economic diplomacy—proxied by KOF-based indicators of political globalisation and economic policy openness—is associated with multidimensional sustainable development (SD) across 208 countries over the period 2000–2023. Using two-way fixed-effects panel models with Driscoll–Kraay standard errors, complemented by instrumental-variable and dynamic panel checks, we find a positive but modest within-country association between diplomatic embeddedness and Sustainable Development Goal (SDG) performance. The association is driven primarily by political globalisation—reflecting diplomatic networks, international organisation membership, and treaty engagement—rather than trade policy openness. De facto integration exhibits stronger links to SDG outcomes than de jure policy indicators. The relationship is concave, with diminishing marginal returns beyond a diplomacy proxy value of approximately 60. A latent-class framework identifies two institutional archetypes: the association is more pronounced and robust under stronger governance (71 countries), while it attenuates under weaker governance (85 countries). Goal-level estimates reveal systematic trade-offs—gains in inequality reduction (SDG 10) and innovation (SDG 9) alongside adverse associations with climate outcomes (SDG 13)—and a structural breakpoint around 2017 consistent with the onset of slowbalisation. The results suggest that diplomacy can support SD, but its payoff depends on governance capacity and the management of cross-goal externalities. Full article

Bangia fuscopurpurea is a marine alga with significant commercial value. Although a high-light adapted species, the productivity of its commercial cultivation is frequently limited by environmental light attenuation, resulting in the algae operating under energy-limiting, sub-saturating conditions. This study investigated its physiological responses and antioxidant defense mechanisms across a sub-saturating light gradient (20, 40, and 80 µmol photons m⁻² s⁻¹). We employed exogenous ascorbic acid (AsA) supplementation to evaluate the dynamic response of the ascorbate-glutathione (AsA-GSH) cycle. Without AsA supplementation, the 40 µmol photons m⁻² s⁻¹ condition supported redox homeostasis and the highest soluble protein accumulation. In contrast, the lowest irradiance (20 µmol photons m⁻² s⁻¹) restricted physiological performance. At 80 µmol photons m⁻² s⁻¹, which remained below the light saturation point, the algae experienced oxidative stress, indicated by elevated lipid peroxidation and hydrogen peroxide levels. The efficacy of exogenous AsA depended on these energy states. Under the highest tested irradiance (80 µmol photons m⁻² s⁻¹), AsA reduced malondialdehyde (MDA) and maintained electron transport capacity, but these effects were accompanied by a significant degradation of photosynthetic pigments. These findings imply an altered partitioning of cellular reducing power, where the demand for AsA regeneration might limit the resources available for biosynthetic pathways. The study highlights that antioxidant efficacy is constrained by the cellular energy availability, which limits simultaneous stress mitigation and growth in light-limited aquaculture environments. Full article

Background/Objectives: EBV is an oncogenic virus linked to NPC and GC, driving cisplatin resistance. Resveratrol has anticancer activity, but its targets and mechanisms against EBV-positive cancers remain unclear. Methods: We assessed resveratrol’s cytotoxicity in EBV-positive cells via functional assays, identified targets by chemical similarity search and molecular docking, and validated PTPN1 via in vitro experiments and nude mouse xenograft models. Results: Resveratrol inhibited EBV-positive cell viability in a time- and concentration- dependent manner, with IC50 values ranging from 35.85 to 145.7 μM across different cell lines at 24–72 h. Apoptosis rates increased by approximately 2- to 4-fold after 80 μM resveratrol treatment for 24 h. Resveratrol directly targeted PTPN1 (docking score = −4.89) and promoted its degradation via the proteasome pathway, as MG132 reversed this effect. Notably, resveratrol synergized with cisplatin (combination index < 1) to reverse cisplatin resistance in both in vitro and in vivo models. Furthermore, resveratrol induced EBV lytic reactivation through ROS production, as evidenced by the increased expression of BZLF1, BMRF1, and BALF2, which was attenuated by the ROS scavenger NAC. Conclusions: Our findings identify PTPN1 as a direct anticancer target of resveratrol in EBV-positive cancers. Resveratrol enhances the therapeutic efficacy of cisplatin via PTPN1 proteasomal degradation and induces EBV lytic reactivation through ROS accumulation. These findings provide a mechanistic basis for the development of novel combination therapies targeting EBV-associated malignancies. Full article

Background: The clinical value of lateral cephalograms for obstructive sleep apnea (OSA) risk assessment remains controversial, largely because previous case–control studies often lacked objective exclusion of OSA in control subjects and insufficiently controlled for confounding. This age-matched case–control study evaluated whether craniofacial characteristics differ between individuals with and without OSA and whether these craniofacial measurements independently predict OSA-related outcomes after adjustment for relevant confounders. Methods: A total of 54 adults were included (27 with OSA and 27 without OSA). OSA was defined by poly(somno)graphy (apnea–hypopnea index [AHI] ≥ 5). Control subjects were prospectively recruited, and OSA was excluded through polygraphy (AHI < 5). Lateral cephalograms were used to assess six PAS levels (P1–P6), 16 hyoid- and soft palate-related parameters, and sagittal/vertical skeletal characteristics. Potential confounders were controlled for by adjustment for BMI and craniofacial skeletal pattern. The PAS measurements were defined as the primary endpoint; soft palate and hyoid-related variables were considered secondary exploratory endpoints. Statistical analyses included independent samples t-tests, multiple linear regression models, and sensitivity analyses adjusted for sex. Results: Craniofacial skeletal characteristics did not differ between groups. PAS dimensions showed no significant intergroup differences and were not independently associated with AHI after adjustment, whereas BMI consistently emerged as the strongest predictor. Uvula length and thickness were significantly greater in the OSA group; however, neither parameter independently predicted AHI in regression models. In contrast, subjects with OSA exhibited a significantly more inferior/anterior hyoid position across multiple models. In the primary regression models, several hyoid-related variables were associated with AHI. However, these associations were attenuated in additional sensitivity analyses after adjustment for sex and were no longer consistently statistically significant. Sex was a relevant covariate in several models. Conclusions: Static PAS measurements derived from lateral cephalograms provide no clinically meaningful information for OSA screening or risk stratification. Although several hyoid-related variables were associated with AHI in primary models, these associations were attenuated after adjustment for sex and should therefore be interpreted as exploratory. When lateral cephalograms are already clinically indicated, hyoid position may provide complementary anatomical information, but its independent predictive value remains uncertain. Full article

Large animal models are a critical component of the preclinical evaluation of mechanical cardiac implants, enabling assessment of safety and performance under physiological conditions that cannot be adequately reproduced in vitro. Choosing a suitable animal model is important for both scientifically valid and ethically responsible preclinical evaluation. However, interspecies differences between animal models and humans pose significant challenges for relevant translation of preclinical findings to clinical outcomes. This narrative review provides a comprehensive overview of commonly used large animal models (sheep, goats, pigs, and calves) for the preclinical assessment of mechanical cardiac implants, including prosthetic heart valves, ventricular assist devices, and total artificial hearts. We summarize key anatomical and physiological characteristics that influence device implantation, chronic follow-up, and translational value. Emphasis is placed on three critical outcome domains for preclinical evaluation of mechanical cardiac implants: calcification, thrombogenicity, and hemodynamic performance. Species- and age-dependent differences in calcification are reviewed, identifying juvenile sheep as a worst-case model for early manifestation and detection of graft mineralization. Interspecies differences in coagulation biology are examined, showing attenuated platelet responses in sheep and closer similarity between porcine and human platelet behavior, supporting pigs as the preferred thrombogenicity model. Hemodynamic evaluation strategies in acute and chronic large-animal studies are discussed, with particular emphasis on circulatory demands influenced by somatic growth and on device adaptability under varying loading conditions. Overall, this review provides practical, outcome-driven guidance for large animal model selection and experimental design in mechanical cardiac implant research, while identifying key limitations, knowledge gaps, and the need for standardized reporting to improve the translational reliability of preclinical studies. Based on the findings presented in this review, we conclude that there is no single animal model capable of evaluating all relevant aspects of a device. Instead, different animal models provide distinct advantages depending on the outcomes of interest. Full article

The increasing utilization of radiation in medicine, industry, and water purification highlights the need for efficient radiation-protection materials. This study investigates lead-free polymer composites based on high-density polyethylene (HDPE) filled with four metallic fillers: tungsten carbide (WC), molybdenum carbide (MoC), tungsten (W), and molybdenum (Mo) at 15 wt%. The objective is to evaluate their potential as alternatives to lead for shielding ionizing radiation. Mechanical performance was examined through tensile testing, while thermal stability was assessed based on the residual mass. Radiation-attenuation behavior was analyzed through linear and mass attenuation coefficients (µ and µₘ), radiation protection efficiency (RPE), half-value layer (HVL), mean free path (MFP), buildup factors (B), and effective atomic number (Z_eff) within the 47.9–248 keV energy range. The HDPE/W composite exhibited the greatest enhancement, with a mass attenuation coefficient (µₘ) 82.5% higher than that of pure HDPE, along with the highest linear attenuation coefficient (µ). Furthermore, tungsten-loaded samples achieved an RPE of 98.05% at 47.9 keV. The increased density, low B, and high Z_eff values collectively contribute to superior shielding performance. These findings indicate that HDPE filled with WC, MoC, W, and Mo are promising lead-free candidates for low-energy X-ray shielding applications. Full article

Blasting operations in quarries are frequently carried out across benches with pronounced elevation variations, which affect the propagation of ground vibrations. This study examines vibration attenuation in a marble quarry in eastern Taiwan using both traditional empirical formulas and artificial neural networks (ANNs). Field measurements were collected from 54 production blasts, resulting in 322 vibration records at three distinct elevation levels. Several empirical equations—including an elevation correction factor—were applied and compared. Among these, the equation incorporating an adjusted elevation factor yielded higher R² values than the other empirical models. In parallel, a three-layer ANN trained in MATLAB, using inputs such as instantaneous charge, distance, elevation difference, and total charge per blast, achieved an R² of 0.951, highlighting total charge as a key parameter. Both the empirical and ANN methods proved effective for PPV prediction, but the ANN models demonstrated better accuracy when total charge was included. Full article

Objectives: We aimed to develop models capable of converting the attenuation coefficient (AC) into a percentage-like index in patients with suspected metabolic dysfunction-associated steatotic liver disease (MASLD). Methods: In this retrospective, cross-sectional study, we consecutively enrolled participants with suspected MASLD from the Weight Loss Medical Centre who had undergone both ultrasound examinations that yielded AC results and magnetic resonance imaging (MRI) scans including proton density fat fraction (PDFF). The first model, defined as the PDFF conversion fraction (PCF), used the MRI-PDFF results as the reference standard. The other model, defined as the attenuation level fraction (ALF), converted AC values into percentages based on the range of AC values from 0.5 to 1.0 dB/cm/MHz. Area under the receiver operating characteristic curve (AUC) analysis was used to evaluate the diagnostic performance of the two models. Results: Among the 199 participants (mean age, 38.12 ± 9.56 years; 110 male), the PDFF values differed significantly among the different liver segments (p < 0.05). The PDFF values of the left liver and right liver were 12.6% and 16.1%, respectively. There was a significant difference between them (p < 0.05). The AUCs of the AC, PCF, and ALF were 0.92, 0.93, and 0.87, respectively, for detecting mild steatosis (≥ S1), moderate steatosis (≥S2), and severe steatosis (≥S3) when PDFF values ≥ 5%, ≥15%, and ≥25% were used as the reference standard, respectively. Conclusions: The two fraction conversion models (PCF and ALF) yielded good and identical diagnostic accuracies in grading liver steatosis. Considering the heterogeneous pattern of liver steatosis, the ALF was a more objective parameter. Full article

Moringa oleifera leaves are recognized as a nutrient-dense plant material of compositional and nutritional interest. This study aimed to characterize the nutritional and physicochemical properties of M. oleifera dried leaves through nutritional assessment and spectroscopic fingerprinting. Amino acid profiling, antioxidant activity assessment using ferric reducing antioxidant power (FRAP), 2,2-diphenyl-1-picrylhydrazyl (DPPH), 2,2′-azino-bis(3-ethylbenzothiazoline-6-sulfonic acid) (ABTS), and oxygen radical absorbance capacity (ORAC) assays, chromatographic analysis of organic acids and sugars, color measurement, techno-functional characterization, and vibrational spectroscopy including Fourier Transform infrared with attenuated total reflectance (FT-IR/ATR) and Raman were employed. The crude protein content was 16.13 ± 0.43%. Moringa leaves contained all essential amino acids, with notably high tryptophan content (amino acid score, AAS = 200.00%). The amino acids limiting the nutritional value of the protein were primarily sulfur-containing amino acids (AAS = 49.57%) and lysine (AAS = 49.79%). Histidine, leucine, and valine also showed levels below the reference protein. Antioxidant activity exhibited solvent-dependent patterns: the 80% ethanolic extract demonstrated significantly higher FRAP activity (27.05 ± 1.05 mg Trolox Equivalent (TxE)/g dry matter (DM)) and ORAC values (107.24 ± 6.80 mg TxE/g DM), while no statistically significant differences between extracts were observed for DPPH, ABTS, or total phenolic content. Chromatographic profiling identified fructose and glucose as the predominant sugars, alongside citric, succinic, lactic, and acetic acids. The leaves exhibited favorable techno-functional properties, including high water holding capacity and water solubility index. Spectroscopic analysis revealed bands consistent with proteins, lipids, carbohydrates, and glycoside-related structures, while the preserved green-yellow coloration (hue angle 101.68°) indicated retention of pigment-related features during processing. These findings provide compositional and physicochemical characteristics of Moringa leaves relevant to their evaluation as a plant-derived food material. Full article

Background/Objectives: The clinical utility of summarizing long-term C-reactive protein (CRP) trends with a single mean remains unclear. We systematically characterized annual changes in CRP test volume and CRP level distributions using large-scale laboratory data collected at Dankook University Hospital (2008–2023) across the coronavirus 2019 pandemic period. Methods: Overall, 1,845,258 CRP values were analyzed; annual arithmetic, harmonic, and geometric means were calculated; long-term trends were assessed using weighted least squares (WLS) regression weighted by annual test volume; and temporal changes around the pandemic period were examined using a WLS-based interrupted time-series (ITS) segmented model with a prespecified 2020 break. Results: The annual test volume rose from 2008 to 2013 and 2019, dropped in 2020, increased in 2022, and declined in 2023. The arithmetic mean showed no long-term trend, whereas the harmonic and geometric means declined. ITS models exhibited no statistically significant immediate level-change term in 2020; however, post-2020 slope changes indicated a decline in the arithmetic mean and attenuation of the prior decline in the harmonic mean. As only four annual observations were available after 2020, these post-2020 trend estimates should be interpreted cautiously. Conclusions: Within this single-center tertiary-care dataset, different CRP summary measures showed different long-term patterns and post-2020 trend changes, without evidence of an abrupt shift in 2020, suggesting stratum-specific shifts that may be invisible to arithmetic mean-based surveillance. These findings are best interpreted as institution-specific and hypothesis-generating, and broader interpretive or operational implications require validation in multicenter settings with differing case-mix and care structures. Full article

Preservation of biological specimens over extended periods is essential for morphological research, especially in contexts where sample collection is limited or unrepeatable, such as spaceflight studies. However, the impact of long-term exposure to chemical fixatives remains underexplored. In this study, we used high-resolution X-ray microtomography and X-ray phase contrast tomography to investigate the stability of mineralized tissues subjected to prolonged chemical fixation. We examined the forelimb digits of geckos (Chondrodactylus turneri) preserved for over six years using a protocol involving formalin and ethanol, as well as the humeral bone of gerbils (Meriones unguiculatus) stored in fixative for more than four years. The gecko samples originated from the delayed vivarium control group of the Bion-M No. 1 space mission, offering a valuable chance to evaluate the preservation effects on specimens of significant scientific value. Comparative analysis revealed distinct changes in bone volume and linear attenuation coefficient of bone associated with formalin storage, highlighting the need for optimized storage strategies in long-term biorepositories. These findings offer valuable guidance for maintaining morphological fidelity in chemically preserved skeletal tissues. Full article

Background: Myocardial fibrosis (MF) results from excessive collagen deposition in the cardiac interstitium, causing structural and functional cardiac impairments that underlie multiple cardiovascular diseases. Grape seed oil (GSO), rich in various bioactive fatty acids, demonstrates established cardiovascular benefits, yet its potential mechanisms against MF remain incompletely elucidated. This study was designed to investigate the inhibitory effects of bioactive components from GSO on TGF-β1-induced fibrosis in cardiac fibroblasts (CFs) and to elucidate the underlying molecular mechanisms. Methods: GSO was obtained using supercritical CO₂ extraction technology. Initially, the anti-fibrotic activity of GSO was evaluated in vitro: a fibrosis model was established by inducing cardiac fibroblasts with TGF-β1 (10 ng/mL for 48 h), followed by treatment with 20% (v/v) GSO. Subsequently, the bioactive constituents of GSO were identified by Gas Chromatography-Mass Spectrometry (GC-MS). Network pharmacology approaches were employed to predict its potential therapeutic targets and associated signaling pathways. Molecular docking simulations were then performed to validate the binding interactions between the key bioactive components and the core targets obtained from enrichment analysis. Finally, the predicted core pathway was experimentally verified by Western blot analysis. Results: In vitro experiments demonstrated that 20% GSO treatment significantly downregulated TGF-β1-induced fibrotic markers at both transcriptional (MMP9, MMP2, Col1a1) and protein (TGF, Col I/III, α-SMA) levels (p < 0.01). GC-MS analysis identified nine fatty acids in GSO, including palmitic acid and linolenic acid. Network pharmacology revealed interactions between these compounds and 357 myocardial fibrosis-related targets. Molecular docking confirmed strong binding affinities (below −5.0 kcal/mol) of key components (heptadecanoic acid, palmitic acid) to core targets (MMP-9, PTGS2, MAPK3). Western blot analysis further verified that GSO significantly inhibited the expression of PI3K-AKT pathway-related proteins (p < 0.01). Conclusions: The fatty acids in GSO (linolenic acid, palmitic acid) attenuate myocardial fibrosis by inhibiting the PI3K/AKT signaling pathway and downregulating key fibrotic markers. These findings establish a novel theoretical foundation for the treatment of myocardial fibrosis and highlight the potential value of grape industry byproducts in cardiovascular therapeutics. Full article

Objective: This study aimed to investigate the associations between intratumoral and peritumoral apparent diffusion coefficient (ADC) measurements and multiparametric biological markers in invasive breast cancer using a novel peritumoral analysis approach. Materials and Methods: In this retrospective study, 68 patients underwent 1.5 T breast magnetic resonance imaging. Following volumetric tumor segmentation, the peritumoral environment was analyzed using a segmentation-based, improved multilayered concentric shell model at distances of 0–2, 2–5, and 5–10 mm. The ADC values were normalized to contralateral parenchyma (rADC), and the intratumoral-to-peritumoral ADC ratios were calculated. Parameters were correlated with molecular subtypes, axillary metastasis, lymphovascular invasion (LVI), histologic grade, and Ki-67 index. Results: Lower intratumoral ADC and lower intratumoral-to-peritumoral ADC ratios were significantly associated with higher histologic grade, increased Ki-67, and axillary metastasis (p < 0.05). The 0–2 mm shell, representing the immediate invasion front, demonstrated the strongest associations with lymphovascular invasion and nodal involvement, while distance-dependent attenuation of effect sizes was observed across more distal peritumoral layers. Conclusions: The segmentation-based and improved multilayered shell model effectively captures the distance-dependent biological gradient of the peritumoral microenvironment. The intratumoral-to-peritumoral ADC ratios within the immediate 2 mm zone may provide complementary information regarding imaging markers of tumor aggressiveness when interpreted alongside absolute measurements. These findings suggest a potential role for these parameters as complementary imaging markers in preoperative risk stratification within a multiparametric framework. Full article

Additive manufacturing enables the rapid fabrication of radiographic phantoms for X-ray and CT imaging, supporting applications such as patient simulation, dosimetry, imaging protocol optimization, and quality assurance. Polylactic acid (PLA) and acrylonitrile butadiene styrene (ABS) are among the most widely used printing polymers in phantoms; however, their X-ray attenuation properties can vary substantially among manufacturers, product lines within manufacturers, and even between colors of the same product. Cylindrical samples of 34 PLA filaments from 11 manufacturers and 13 ABS filaments from 9 manufacturers were evaluated for X-ray attenuation and energy dependence between 70 and 140 kV using a clinical CT scanner. Measured mass densities ranged from 1.17 to 1.34 g/cm³ for PLA and 1.03–1.11 g/cm³ for ABS. At 120 kV, Hounsfield unit (HU) values spanned 109 to 424 HU for PLA and −34 to 40 HU for ABS. Energy dependence, quantified as the HU at 70 kV minus HU at 140 kV, ranged from −29 to +172 HU for PLA filaments and −52 to −4 HU for ABS filaments. Identical products differing only in color showed HU variations from <2 HU to >90 HU at 120 kV, with no consistent pattern linking specific colors to highest or lowest attenuation. These findings demonstrate that 3D printing materials require individual characterization, as base polymer designation alone does not predict X-ray behavior accurately. The observed variability, however, enables the design of phantoms with tailored attenuation and energy-dependent contrast. Referring only to base polymers when specifying 3D printing materials for radiographic phantoms or suggesting printing materials as radiographic substitutes to mimic a specified tissue or reference material without naming the actual product, including color, is, thus, insufficient. Full article

Background/Objectives: Uterine serous carcinoma (USC) is an aggressive subtype of endometrial cancer characterized by high recurrence rates and poor response to conventional therapies, resulting in unfavorable clinical outcomes. Eicosapentaenoic acid (EPA), an omega-3 polyunsaturated fatty acid, has demonstrated anti-cancer activity in multiple malignancies. Methods: This study used two USC cell lines, ARK1 and SPEC2, to evaluate the effects of EPA on cell proliferation, invasion, cell cycle profile, stress response, and apoptosis. The potential synergistic effects of EPA combined with carboplatin were also examined. Western blotting was used to examine EPA’s effects on downstream pathways related to cellular stress, inflammation, and epithelial–mesenchymal transition (EMT). Results: EPA treatment markedly reduced cell proliferation and colony formation, with IC₅₀ values of 28.96 µM for ARK-1 cells and 14.96 µM for SPEC-2 cells compared with control groups. It also induced G1 phase cell cycle arrest, increased cellular stress, triggered caspase-dependent apoptotic cell death, and suppressed invasive capacity. Moreover, EPA effectively counteracted TNF-α-stimulated upregulation of COX-2 and phosphorylated NF-κB. The combined treatment with EPA and carboplatin resulted in synergistic inhibition of cell viability and migration. Western blotting analysis showed that EPA attenuates the NF-κB and AKT/mTOR signaling pathways, promotes the expression of cellular stress-related proteins, and inhibits the expression of EMT-related proteins in both cell lines. Conclusions: EPA exhibits potent anti-tumor activity against USC cells and enhances the efficacy of carboplatin. These data indicate that EPA has potential as a low-toxicity, multi-target adjuvant treatment for USC, necessitating additional pre-clinical and clinical investigation. Full article