Search Results (94,137)

In medicinal chemistry, halogen substitution is often used to enhance the biological activity of anticancer compounds. Phenethyl isothiocyanate (PEITC), a natural compound found in cruciferous vegetables, exhibits anti-cancer activity by modulating oxidative stress and apoptosis-related pathways. This study compared the effects of PEITC and its chlorinated derivative, Cl-PEITC, on human leukemia cell lines, including multidrug-resistant (MDR) variants that overexpress P-glycoprotein (P-gp). We evaluated cell viability, apoptosis, reactive oxygen species (ROS) production, the modulation of the NRF2/KEAP1 signaling pathway, NF-κB p65 protein expression, DNA fragmentation, and autophagy in SKM-1, MOLM-13 and their MDR variants SKM/VCR and MOLM/VCR cells. Cl-PEITC exhibited stronger antiproliferative and cytotoxic effects than PEITC in all tested cell lines and maintained similar activity in P-gp-positive resistant cells. In contrast, resistant sublines showed reduced sensitivity to PEITC. Cl-PEITC induced higher ROS production and enhanced apoptosis, accompanied by the activation of caspases-3, -8, and -9 and PARP1 cleavage. It also caused more pronounced DNA fragmentation. Both PEITC and Cl-PEITC modulated autophagy-related markers, as demonstrated by increased LC3-II/LC3-I conversion and decreased p62 protein levels. In addition, these compounds modulated NRF2/KEAP1 and reduced NF-κB p65 expression in a concentration-dependent manner. These findings suggest that the chlorination of PEITC enhances its antileukemic activity and could retain its efficacy against P-gp-associated MDR. Full article

Understanding the spatial organization of the new materials industry chain is essential for promoting sustainable industrial development. However, existing research rarely examines it as an integrated intercity network spanning multiple segments and specialized sub-sectors. To address this gap, this study constructs the New Materials City Association Network (NM-CityNet) using firm-level cross-regional equity investment data for 294 Chinese cities from 2010 to 2024. NM-CityNet includes two dimensions: segment networks (upstream, midstream, downstream) and sub-sector networks (advanced basic materials, critical strategic materials, and frontier new materials). A chain-lock model is applied, combined with social network analysis and the quadratic assignment procedure. Location quotients are integrated with weighted degree to capture specialized division-of-labour patterns. Using these methods, this study reveals the regional distribution, network structure, specialization patterns, and formation mechanisms of NM-CityNet. Results show that: (1) upstream core cities cluster in eastern China, midstream activities diffuse toward central and western regions, and downstream activities concentrate along the south-eastern coast; (2) NM-CityNet remains sparse and shows clear community structures, while different segments form differentiated spatial organization mechanisms; (3) sub-sectors exhibit clear specialization, with critical strategic materials showing broader spatial coverage; (4) drivers are heterogeneous: administrative proximity promotes link formation; government S&T financial-support differences are positively associated with link formation, although this association may partly reflect selective investment effects; economic and transport disparities inhibit link formation; innovation differences matter only in the midstream segment; and resource-endowment differences matter upstream and downstream. Full article

The complex genus Achillea L. comprises more than 140 species distributed widely throughout the Northern Hemisphere. Several species are widely used in traditional medicine for their therapeutic properties, yet few studies have correlated their biological properties with the plant’s phytochemical composition. Among these, Achillea setacea Waldst. & Kit. is a perennial species traditionally used to treat digestive and inflammatory disorders. In this study, the essential oil of A. setacea, collected wild in North Macedonia, was analyzed spectrometrically and spectroscopically by GC-MS and NMR, respectively. A total of nineteen compounds were identified, with camphor (31.3%), 4-terpineol (11.3%), and eucalyptol (10.6%) being the main constituents. Furthermore, the biological activities of pure oil were evaluated, showing notable antioxidant properties, as well as antimicrobial effects against a panel of clinically relevant microorganisms, including Gram-positive and Gram-negative bacteria. Furthermore, its impact on human intestinal epithelial (Caco-2) cells was assessed, highlighting its potential relevance for gastrointestinal applications, in agreement with the traditional use of Achillea species for digestive disorders. Full article

Qinghai spruce (Picea crassifolia Kom.) secondary forests in the Qilian Mountains are pivotal for water conservation and biodiversity maintenance in arid northwest China. Based on a 10.2 ha permanent monitoring plot, we employed piecewise structural equation modeling (piecewise SEM) to analyze 47 indicators covering topography, stand structure, ground cover, and soil properties. Canopy openness (CO), moss–litter thickness (MLT), and herbaceous biomass (HB) exerted significant positive effects on the regeneration density (RD) in Qinghai spruce secondary forests, while crown width (CW) exerted a negative regulatory effect on this indicator. HB, altitude (AL), and leaf area index (LAI) exerted positive promoting effects on the regeneration morphometric diversity, whereas soil organic carbon (SOC) imposed strong inhibitory effects on this diversity metric. MLT, AL, SOC, and CW were identified as four shared regulatory factors that simultaneously shape regeneration density and seedling morphometric diversity in these alpine forest ecosystems, verifying the third research hypothesis. Maintaining CO at 0.5–0.6 and retaining 5–6 cm MLT can effectively facilitate natural regeneration. This study provides quantitative threshold references for ecological restoration and refined sustainable management of alpine coniferous spruce forests in arid mountainous regions. Full article

Urbanization underscores the critical role of the built environment in shaping human health outcomes. Recently, technology-driven assessment enables a more precise, dynamic, and objective evaluation of individuals’ biobehavioral responses to built environments and their health. However, existing reviews are limited to single technologies, single health outcomes, or specific environmental features. As a result, this narrative review summarizes 269 studies (2003–2025) to examine how such technology-driven methodologies capture the effects of built environments on psychophysiological well-being. Findings reveal a four-stage evolution in methodology from subjective evaluations and single-device monitoring to integrated subjective-objective measures and, more recently, multimodal synergistic frameworks. Accordingly, based on a technology-driven assessment of biobehavioral responses, this review synthesizes a dual-pathway framework linking the built environment to health: (1) psychological responses are mediated through emotion-arousal mechanisms, encompassing 22 key emotions across both positive and negative valences; and (2) physiological outcomes are influenced by behavioral–psychological mediation and direct environmental exposure, encompassing six categories that span from subclinical dysfunction to clinical disease risk. This review thereby provides a framework derived from the reviewed evidence that connects built environments to health through measurable biobehavioral pathways, directly supporting human-centered urban design and assessment. Full article

Pomegranate (Punica granatum), a shrub belonging to the Lythraceae family, has long been recognized for its diverse pharmacological benefits, including potential roles in managing inflammation and diabetes. The present study explored the insulin-secretory and β-cell proliferative properties of the ethanol extract of P. granatum fruit peel (EEPG) and assessed its influence on glucose regulation in high-fat-fed diet-induced obese mice (HFDi-OM) through in vivo and in silico studies. In vitro, EEPG was found to activate cAMP-dependent pathways and regulate K_ATP channels, thereby enhancing glucose-stimulated insulin secretion from BRIN-BD11 β-cells, with partial reliance on extracellular calcium. EEPG promoted β-cell proliferation, as indicated by an increase in Ki-67 positive cells, and displayed inhibitory effects on glucose diffusion and starch hydrolysis, suggesting a capacity to delay carbohydrate digestion and absorption. Furthermore, EEPG demonstrated antioxidant activity by neutralizing free radicals. In an acute test, EEPG (at doses of 150 and 250 mg/5 mL/kg) improved oral glucose tolerance and elevated plasma insulin levels. Long-term oral treatment for 21 days to HFDi-OM led to a significant reduction in fasting blood glucose, body weight, and food and fluid intake. It also enhanced gastrointestinal motility and improved lipid profiles by increasing HDL and lowering total cholesterol, LDL, and triglycerides. The therapeutic properties of EEPG are likely attributed to its rich bioactive components, including flavonoids (quercetin, kaempferol, catechin, and epicatechin) and phenolic acids (ellagic acid), which exhibited strong multi-target binding affinities in in silico molecular docking studies toward SUR1, PDE4, PI3K, and α-amylase, thereby supporting enhanced insulin secretion, β-cell function and glucose homeostasis. Full article

This study examines the impact of public attention on financial markets during the Israel–Hamas conflict, focusing on the TA35 stock index and the Israeli Shekel (ILS) exchange rate over the period October 2023 to April 2025. By distinguishing between global and domestic Google search activity, the analysis investigates whether the origin of attention differentially affects market performance and currency dynamics. Public attention is treated as a real-time proxy for investor sentiment and perceived risk. Methodologically, the study combines Google Trends data with EGARCH(1,1) models to capture both return effects and asymmetric volatility responses. To enhance robustness, Principal Component Analysis (PCA) is applied separately to global and domestic search datasets, generating latent indices that reflect conflict-related and humanitarian narratives. These indices are subsequently incorporated into the empirical models. The findings reveal that global search intensity related to conflict topics exerts a significant negative effect on stock returns and contributes to currency depreciation, reflecting heightened uncertainty and risk aversion. In contrast, domestic search activity is associated with stabilizing or positive effects, suggesting local resilience and confidence. PCA-based models improve explanatory power and confirm that the geographical origin of attention plays a crucial role in shaping financial outcomes. Additionally, the results indicate that attention-driven shocks influence volatility asymmetrically, amplifying downside risk during periods of intensified global concern. Overall, the study contributes to the literature by integrating behavioral indicators into financial risk modeling and providing a novel, real-time framework for assessing how digital attention transmits geopolitical risk into asset prices. Full article

The shock wave/boundary layer interaction (SWBLI) is a common flow phenomenon in high-speed aircraft flow fields. It is important to control the separation caused by SWBLI. This paper investigates the influence of spanwise periodic-motion micro-vortex generators (MVGs) on SWBLI. A combination of particle image velocimetry (PIV), high-frequency Schlieren and fluorescent oil-film visualization was employed to analyze the interaction region of a flat plate compression ramp model. The incoming flow Mach number was 6, and the MVGs oscillation frequencies were 10 Hz, 30 Hz and 50 Hz, respectively. The results reveal that neither the presence nor the spanwise oscillation in the MVGs fundamentally altered the separation–reattachment flow structure. Nonetheless, both factors contributed to an increase in boundary layer thickness and an expansion of the absolute size of the separation region. The trailing vortices generated by the MVGs exerted a stabilizing influence on near-wall turbulent structures, resulting in a reduction in surface friction drag. However, the drag reduction effect diminished as the oscillation frequency increased, corresponding to a weakening of the trailing vortex strength. Additionally, the MVGs and their spanwise oscillation modulated the low-frequency energy distribution of the flow, amplifying the low-frequency oscillation peak associated with the separation shock and raising the time-averaged oscillation position. Full article

Electric vehicles (EVs) are increasingly recognized as a sustainable transportation solution; however, mass-market adoption in Thailand remains limited due to infrastructure constraints, technological complexity, and evolving consumer perceptions. This study examines the effects of charging infrastructure accessibility, perceived ease of use, and psychological driving experience on consumers’ willingness to pay (WTP) for EVs. A quantitative approach was employed using survey data collected from 400 EV users and analyzed through Structural Equation Modeling (SEM). Grounded in the Technology Acceptance Model (TAM) and the Theory of Consumption Values (TCV), the study reveals that charging infrastructure accessibility significantly enhances perceived ease of use, driving experience, and WTP. In addition, perceived ease of use and driving experience positively influence consumers’ financial commitment toward EV adoption and partially mediate the relationship between infrastructure accessibility and WTP. The findings indicate that EV consumer valuation is shaped by both functional infrastructure readiness and psychological user experience. The study contributes to EV consumer behavior literature by integrating cognitive and experiential perspectives and provides practical implications for policymakers and industry stakeholders seeking to accelerate EV adoption in Thailand. Full article

Revealing scale effects and the mechanisms underlying the relationships between plant species and functional diversity is crucial for understanding the stability of desert ecosystems and formulating multiscale conservation strategies. In this study, the spatial patterns of plant species and functional diversity in the Gurbantunggut Desert were analysed via multiscale grid sampling. The results indicated that (1) both species diversity and functional diversity indices exhibited high spatial heterogeneity. At the small scale (10 m × 10 m), the values of the Shannon–Wiener and Pielou indices for fixed dunes were higher in the south than in the north. At the medium and large scales (20 m × 20 m and 50 m × 50 m, respectively), the index values were highest in the southwest, with generally greater values in the south than in the north. For semifixed and mobile dunes, the Shannon–Wiener and Pielou index values exhibited an east-high–west-low pattern at the 10 m × 10 m scale. This differentiation decreased with increasing scale, with the highest values observed in the northeast and southwest at the 50 m × 50 m scale. The spatial differentiation in functional diversity indices (Rao’s second-order entropy index and functional evenness index) exhibited distinct characteristics across the different dune types. (2) The spatial variation in all the diversity indices monotonically decreased with increasing scale, with the variance in the species diversity indices indicating the following order: Shannon–Wiener index > Pielou index > Simpson index. (3) The relationships between species richness and diversity indices exhibited significant scale dependence. At the small and medium scales, species richness was significantly positively correlated with the Shannon–Wiener index, Simpson index, and Rao’s quadratic entropy index and significantly negatively correlated with the Pielou evenness index and functional evenness index. However, at the large scale, none of these correlations were significant. (4) The species diversity indices and Rao’s quadratic entropy index were significantly positively correlated at the small and medium scales (p < 0.01), whereas a significant positive correlation with the functional evenness index was observed only at the 10 m × 10 m scale (p < 0.01). At the larger scale, these correlations became insignificant. In fixed dunes, areas of high Simpson index values exhibited a spatially complementary distribution with areas of high Shannon–Wiener index and Pielou index values, providing evidence for the combined effect of local processes such as competitive exclusion and dispersal limitation. Through comprehensive multiscale analysis, this study revealed the mechanisms underlying the scale-dependent relationships between plant species and functional diversity, thereby providing a theoretical basis for protecting and restoring desert biodiversity. Full article

This study examines whether broader supply chain insurance coverage is associated with lower preventive resilience investment through perceived managerial moral hazard. Drawing on moral hazard theory and supply chain resilience research, it tests a moderated-mediation model using survey data from 241 managers in manufacturing-intensive firms. PLS-SEM is used as the main estimator, and covariance-based SEM is reported as an estimator-sensitivity check. Results show that insurance coverage breadth is positively associated with moral hazard perceptions, moral hazard perceptions are negatively associated with preventive resilience investment, and preventive investment is negatively associated with perceived disruption impact. Moral hazard perceptions significantly mediate the coverage breadth–preventive investment relationship, while the direct effect is not significant. The total effect of insurance coverage breadth on preventive resilience investment is negative and significant. Firm-perceived insurer verification stringency is associated with a weaker coverage–moral hazard perception relationship, whereas supply chain visibility provides a smaller attenuation effect. Exploratory risk-type moderation is directional but inconclusive. This study offers evidence from an emerging-market manufacturing context and suggests that contractual verification may help preserve prevention incentives, without estimating causal treatment effects. Full article

Background/Objectives:Artemisia annua essential oil (EO) possesses diverse biological activities; however, its practical application is limited by volatility, instability, and poor bioavailability. This study aimed to develop chitosan-coated nanostructured lipid carriers (CH-NLCs) for efficient encapsulation and delivery of A. annua EO and to evaluate their physicochemical characteristics and biological performance. Methods: The nanoformulation exhibited favorable physicochemical properties, including a high encapsulation efficiency (85.97 ± 1.30%) and a strongly positive surface charge (approximately +45 mV), indicating good colloidal stability. Structural analyses by SEM, FTIR, and XRD confirmed successful encapsulation of the EO within the nanocarrier matrix. Results: The CH-NLC formulation significantly enhanced larvicidal activity against Aedes aegypti larvae, reducing the LC₅₀ value from 213 ppm for the free EO to 142 ppm. Enhanced antifungal activity was also observed, with 47–56% greater inhibition against Malassezia furfur, Trichophyton mentagrophytes, and Candida albicans compared with the free EO. Furthermore, CH-NLC demonstrated improved cytotoxic activity against skin cancer cell lines, achieving IC₅₀ values of 21.4 ± 1.7 µg/mL and 30.1 ± 1.6 µg/mL against A431 and A375 cells, respectively, while maintaining lower toxicity toward normal HaCaT keratinocytes. Mechanistic investigations revealed enhanced apoptosis and an approximately 3-fold increase in intracellular reactive oxygen species (ROS) levels in treated cancer cells. Conclusions: Collectively, these findings indicate that chitosan-coated nanostructured lipid carriers effectively improve the stability and biological efficacy of A. annua essential oil and represent a promising platform for future biomedical and biocidal applications. Full article

Effective thoracic surgery requires timely, predictable operative lung collapse. During one-lung ventilation (OLV), lung collapse is not merely a mechanical consequence of nonventilated lumen opening but a phase-dependent physiological process. Rapid phase I collapse is driven by elastic recoil and passive gas venting, whereas slower phase II collapse depends on residual alveolar gas absorption. Communication between the operative-side airway and the atmosphere before pleural opening may permit tidal gas movement, ambient air entrainment, and nitrogen re-entry during the closed-chest period, delaying subsequent absorption collapse. This narrative review reorganizes lung collapse strategies, including denitrogenation, operative-side airway occlusion, preemptive OLV, disconnection, bronchial suction, and the open-clamp airway technique, according to timing and physiological target. Before pleural opening, alveolar nitrogen should be reduced and ambient air entrainment prevented. Around the pleural opening, airway patency and brief suspension of positive-pressure ventilation may preserve elastic recoil venting. During OLV maintenance, re-clamping or limiting atmospheric communication may support residual gas absorption. This phase-based framework interprets recent clinical findings as interventions acting before, during, and after pleural opening. This may help clinicians select strategies according to the lung isolation device, oxygenation reserve, and surgical environment, although standardized endpoints and component-level validation remain necessary. Full article

Accurate, automated delineation of adult diffuse gliomas from multi-parametric magnetic resonance imaging (mpMRI) is central to quantitative neuro-oncology. Volumetric 3D networks dominate the BraTS leaderboard but require expensive GPUs, long training cycles, and provide diminishing returns relative to their compute budget. Slice-wise 2D models, by contrast, discard inter-slice context that is informative for thin tumor rims and small enhancing foci. We introduce GDNet, a 2.5D multimodal MRI segmentation framework for adult glioma evaluated on the BraTS 2024 cohort. GDNet consumes a stack of three adjacent axial slices from the four standard BraTS modalities (T1, T1ce, T2, FLAIR) as a 12-channel input to a compact U-shaped encoder–decoder with Group Normalization and predicts whole tumor (WT), tumor core (TC), and enhancing tumor (ET) masks for the central slice. The training pipeline pairs the 2.5D backbone with: (i) Exponential Moving Average (EMA) of model weights with decay 0.999, (ii) mixed tumor-aware slice sampling (p_tumor = 0.50), (iii) a compound Cross-Entropy + Soft-Dice loss, and (iv) AdamW with warm-up plus cosine annealing under Automatic Mixed Precision. We performed a systematic, step-by-step ablation covering a 2D baseline, EMA + mixed sampling, tumor-centered crop fine-tuning, a GDNet-inspired architectural integration, a region-aware loss, 3-slice and 5-slice 2.5D inputs, and connected-component post-processing, and we report multi-seed results to quantify reproducibility. On the held-out BraTS 2024 test partition, the final 3-slice 2.5D GDNet achieved positive-only Dice scores of 0.791 ± 0.000 (WT), 0.736 ± 0.003 (TC), 0.654 ± 0.004 (ET), and a mean foreground positive-only Dice of 0.820 ± 0.000 across seeds; the all-slice mean foreground Dice exceeded 0.927 ± 0.000. Validation positive-only scores were 0.805 ± 0.002 (WT), 0.757 ± 0.004 (TC), 0.683 ± 0.009 (ET). The inter-seed standard deviation was small for every region (≤0.01 Dice points), indicating low inter-seed variance across the two seeds evaluated; with only two seeds, we regard this as preliminary evidence of training stability rather than a strong reproducibility claim. The ablation isolated EMA + mixed tumor sampling and the 2.5D context window as the dominant sources of improvement; notably, a GDNet-style architectural integration with a region-aware loss did not outperform the simpler 2.5D U-Net on positive-only WT/TC/ET, and light post-processing improved only all-slice Dice. A failure-mode audit found that the residual catastrophic predictions are concentrated on a small minority of diffuse, infiltrative tumors with mass effect. Conclusions: Carefully engineered training strategies, tumor-aware sampling, EMA stabilization, and a modest 2.5D context window recover a substantial fraction of the accuracy of much heavier 3D networks at a fraction of the compute, are reproducible across seeds, and outperform a heavier GDNet-inspired architectural variant on the same data. GDNet is therefore a practical and, pending external validation, potentially clinically deployable framework for multimodal glioma segmentation on workstation-class GPU hardware. Full article

This study proposes an integrated model examining the relationship between teacher educators’ digital proficiency and the frequency of their pedagogical use of digital tools. By promoting long-term capacity-building in digital competence, the model contributes to sustainable development goals in education, particularly in ensuring inclusive, equitable, and high-quality learning environments. The study involved 156 faculty members from five teacher-training colleges in Israel. Digital proficiency was measured using a validated self-assessment questionnaire adapted from the SELFIE framework (Self-Reflection on Effective Learning by Fostering the Use of Innovative Educational Technologies). The questionnaire assessed perceived competence across three dimensions: (1) filtering and enhancing digital resources, (2) assessment, feedback, communication, and active learning, and (3) adaptive and creative learning. A second questionnaire examined how frequently educators used specific digital tools across four categories: collaboration, diversity and special needs, active and creative learning, and distance and hybrid learning. Data were analyzed using Item Response Theory (IRT) to generate proficiency scores and Structural Equation Modeling (SEM) to test associations. Results indicated moderate overall digital proficiency, with stronger competence in collaboration and communication and lower use of tools related to personalization and creativity. Significant positive associations were found between digital proficiency and all categories of tool use, especially creative and student-centered learning. Use also varied by gender, seniority, and professional role. The study underscores the importance of pedagogically informed professional development to support meaningful and inclusive digital integration. Full article