Search Results (193,794)

A great deal of effort has been made to investigate and develop approaches to address driver behavior, fatigue, and sleepiness for different road users worldwide. However, very little research has been conducted to explore these issues in the context of Bus Rapid Transit (BRT) drivers in a low-income countries such as Mexico. The present study fills this gap. The aim of this study is to identify the human factors contributing to aberrant driver behavior (ADB) among BRT professional drivers in Mexico City. A total of 152 drivers participated in a self-reported survey. Exploratory factor analysis was performed on the BRT-ADBQ to identify the behavioral factors, and the Checklist Individual Strength (CIS–Fatigue) subscale was employed to assess the fatigue of drivers. The key findings were the following: (a) the created BRT-ABDQ identified two ADBs (violations and errors); (b) violations factors, but not errors, contributed to accident involvement; (c) ADB, fatigue, poor sleep and age (30–39) were predictors to accidents and (d) a linear trend has been revealed indicating that as the hours of sleep decreased, the experience of fatigue increased proportionally. The conclusion of the study is that ADB, sleepiness, and fatigue are real and existent among BRT drivers and should be a matter of concern for the case of the BRT organization that participated in the study. More generally, organizations running these systems should intervene by implementing sleep and fatigue reduction strategies to mitigate the adverse impact of these and thereby contribute to sustainable traffic safety and urban mobility. Full article

Bactrian camels (Camelus bactrianus) have long been recognized in China as key agents of long-distance connectivity, based largely on iconographic and textual evidence, while osteological data have rarely been incorporated into discussion. Because these data have seldom been examined within a unified analytical framework, current knowledge of the development and shifting patterns of camel–human relationships remains fragmentary. To address this gap, the present study provides a detailed analysis of available camel osteological material from archaeological contexts in northern China and integrates it with broader archaeological and historical evidence. Our results identify diverse forms of interaction across time and space, including camel exploitation for transport and labor, consumption, funerary practices, and craft production. Spatiotemporal patterns indicate a persistent concentration of osteological remains in China’s northern frontier zones, whereas the record remains sporadic in central regions despite increasing camel representations in material culture and texts. This enduring distribution reflects ecological suitability and sustained economic integration in arid zones. The absence of such conditions in Central China meant that camels were never fully incorporated into local everyday life; instead, they primarily operated within imperial logistical and political systems and came to be culturally important through their role in broader exchange networks. Full article

Background/Objectives: In previous studies, chloroquine and ivermectin separately exhibited similar anticancer effects on various known cancer modulatory targets. This study aimed (1) to identify a non-toxic synergistic combination of chloroquine and ivermectin that suppresses hamster fibrosarcoma; (2) to verify combined antitumor efficacy using dose–response analysis; and (3) to investigate potential synergistic mechanisms by restoring tumor progression with the reciprocal cancer-modulating agent deoxycholic acid. Methods: A BHK-21/C13 cell culture was subcutaneously inoculated into Syrian golden hamsters randomly divided into groups (6 animals per group): (1) untreated control; treated daily (17 days after inoculation) with (2) chloroquine 50 mg/kg; (3) ivermectin 5 mg/kg; (4) a combination of chloroquine 50 mg/kg and ivermectin 5 mg/kg; (5) a combination of chloroquine 50 mg/kg, ivermectin 5 mg/kg and deoxycholic acid 100 mg/kg; (6) a combination of chloroquine 25 mg/kg and ivermectin 2.5 mg/kg; (7) a combination of chloroquine 12.5 mg/kg and ivermectin 1.25 mg/kg. Dose–response curves were generated for chloroquine and ivermectin combinations. Characteristics of tumors (growth kinetics, biophysical, histological, immunohistochemical, pathological), hamster organs, biochemical and hematological blood tests were compared among the groups. Results: The synergistic, dose-dependent anticancer effects of two antiparasitic agents, similar tumor-regulation modulators chloroquine and ivermectin, in doses equivalent to human doses were observed in fibrosarcoma in hamsters (both drugs approximately 1/10 LD₅₀) without toxicity and in various cell lines of human lung, colon and cervical carcinomas and hamster fibrosarcoma in vitro. The addition of a reciprocal modulator of cancer regulation, NF-κB stimulator deoxycholic acid, caused a huge rescue effect on fibrosarcoma and a reversal of the successful anticancer therapy using the combination. Conclusions: The chloroquine and ivermectin combination may be recommended for comprehensive additional preclinical and clinical evaluation due to its synergistic anticancer effects. Further preclinical and clinical exploration will be crucial to thoroughly define the optimal role of the combination therapy in the treatment of fibrosarcoma and potentially other cancer types. Full article

Mesenchymal stem cells (MSCs) exert biological effects in part through their secretome which includes extracellular vesicles. In this study, we isolated and characterized the secretome from clinically relevant stem cell lines: human embryonic stem cell–derived mesenchymal stem cell line (ES-MSCs) and Infrapatellar fat pad derived MSC (IPFP-MSC) cultured in xeno-free medium. We assessed the biological activity of concentrated cell secretome or isolated fractions of extracellular vesicles (EVs) on cell proliferation, microvascular formation, and cartilage degradation in a human osteoarthritic (OA) ex vivo model. Serum-free conditioned medium from ES-MSC (N = 1) or IPFP-MSC (N = 2) monolayer cultures were concentrated by ultrafiltration to generate concentrated conditioned medium (CCM). Size exclusion chromatography was used to fractionate extracellular vesicles (EVs). Vesicle size, concentration, morphology, and surface markers were characterized by nanoparticle tracking analysis, transmission electron microscopy, and flow cytometry. Biological activity was evaluated by treating human umbilical vein endothelial cells (HUVECs), IPFP-MSCs, and ES-MSCs with CCM and EVs at defined particle concentrations. Endothelial network formation was tested in fibrin gels with different cell and secretome combinations. For analysis of cartilage degradation, human cartilage explants (N = 4; 3.5 mm in diameter) were harvested from patients undergoing total knee arthroplasty and subjected to IL-1β stimulation to induce an OA phenotype. Explants were treated with varying doses from CCM or EVs. Release of glycosaminoglycan in the medium and RNA analysis of catabolic genes were used as readouts. Secretome preparations yielded on average approximately 50 billion vesicles per mL with a similar particle size distribution between 50–200 nm in ES-MSC and IPFP-MSC cultures. Transmission electron microscopy confirmed vesicle morphology and flow cytometry confirmed expression of exosomal surface markers (CD9, CD63, CD81). Functionally, CCM and EVs enhanced proliferation in a dose-dependent manner. Endothelial networks formed by HUVECs in fibrin were stabilized over 7 days by CCMs, most notably by hypoxic ES-MSC CCM relative to no CCM treatment (control). In the OA cartilage model, IL-1β stimulation increased glycosaminoglycan release, whereas ES-MSC CCM treatment and EV treatment reduced glycosaminoglycan release and ES-MSC CCM reduced gene expression of IL-1β, MMP-1, and MMP-3. We isolated and characterized the concentrated secretome and the isolated vesicle-enriched fractions from xeno-free ES-MSC and IPFP-MSC and demonstrated bioactivity in promoting cell proliferation, modulating endothelial network formation, and mitigating cartilage degradation in osteoarthritic tissue. These findings support the bioactivity and therapeutic potential of stem cell–derived secretomes for OA. Full article

Diabetes mellitus is increasingly recognized as a biologically heterogeneous disorder that extends beyond traditional phenotype-based classifications. Advances in human genetics have revealed that monogenic and polygenic forms of diabetes are not discrete entities, but rather represent points along a continuum of genetic architectures that converge on shared molecular pathways governing pancreatic β-cell identity, function, and survival. Rare monogenic forms, including maturity-onset diabetes of the young and neonatal diabetes, arise from highly penetrant single-gene defects that directly impair transcriptional regulation, glucose sensing, insulin biosynthesis, or stimulus–secretion coupling. Although individually uncommon, these disorders provide high-resolution models of β-cell dysfunction and have demonstrated the clinical value of genotype-guided diagnosis and therapy. At the opposite end of the spectrum, type 1 and type 2 diabetes result from complex interactions between multiple genetic variants and environmental factors, with genome-wide association studies highlighting a central role for genetically determined β-cell vulnerability alongside immune-mediated and metabolic stress pathways. Importantly, intermediate phenotypes such as latent autoimmune diabetes in adults further illustrate the overlap between autoimmune and metabolic mechanisms, challenging rigid diagnostic boundaries. This review synthesizes current evidence on the genetic architecture of diabetes across monogenic and polygenic forms, emphasizing convergent molecular mechanisms and their translational implications. By integrating insights from rare genetic disorders with findings from large-scale population studies, we propose a continuum-based framework that supports a shift from phenotype-driven labels toward a mechanistic, biology-informed approach to diabetes classification, risk stratification, and personalized care. Full article

The accelerated pace of urbanization has significant effects on the community composition, structure, regional distribution, and diversity characteristics of vegetation within urban river corridors. Spontaneous plants have strong environmental adaptability, high plasticity, and shorter life cycles; they also operate largely independently of human control. As a result, they are widely distributed throughout urban river corridors, and their ability to respond rapidly to heterogeneous habitats within these corridors makes them an ideal subject for studying the reciprocal mechanisms between rapid urbanization and riverine biodiversity. Based on a survey of 208 plots across six river corridors in Changchun, China, we found that the hydrological gradient was the strongest predictor of spontaneous herbaceous community distribution among the environmental factors examined. A total of 181 native herbaceous plant species, belonging to 55 families and 140 genera, were recorded. The Asteraceae, Poaceae, Fabaceae, Lamiaceae, and Polygonaceae families dominated. TWINSPAN classification divided the native herbaceous plant communities into 11 types, with the dominant species being predominantly low-growing perennial herbaceous plants. Canonical correspondence analysis (CCA) ordination confirmed this pattern, showing that the community distribution from aquatic to terrestrial habitats primarily aligned along the first CCA axis (defined by water depth and canopy cover), while the second axis reflected gradients in anthropogenic disturbance and slope. Thus, even in intensively managed urban rivers, natural hydrological processes remain pivotal in shaping riparian plant community composition and enhancing biodiversity. This study provides a scientific foundation for the conservation and sustainable utilization of plant resources in urban river corridors. Full article

Cancer is a major health concern, with its incidence rate continuing to increase. There is growing interest in the microbiota and its role in carcinogenesis, as it significantly influences physiological and pathological processes. Various aspects of the microbiome have been shown to have both anti-tumor and pro-tumor effects. Advances in techniques such as high-throughput DNA sequencing have greatly improved our understanding of microbial populations in the human and canine gut. We aimed to (1) characterize the intestinal microbiota of healthy dogs and dogs with cutaneous mast cell tumors (MCTs), (2) assess changes in the intestinal microbiota of dogs undergoing electrochemotherapy (ECT) combined with gene electrotransfer (GET) of the IL-12 plasmid (IL-12), and (3) explore possible associations with the expression of immune markers Programmed cell death protein 1 (PD-1), Programmed death-ligand 1 (PD-L1), and Granzyme B (GZMB) in MCT tissue. Stool samples were collected from healthy dogs (n = 24) and dogs with MCTs (n = 24) before and after ECT and IL-12 GET. DNA was extracted from the samples, and shallow shotgun sequencing was performed. Immunohistochemistry was performed on the tumors to assess the expression of PD-1, PD-L1, and GZMB. The dysbiosis index, alpha diversity, and beta diversity did not differ between groups. Regarding microbial composition, Bifidobacterium animalis, Corynebacterium variabile, Lactobacillus johnsonii, Pediococcus pentosaceus, Streptococcus anginosus, Streptococcus equinus, Streptococcus intermedius, Clostridium thermobutyricum, Megasphaera elsdenii, and Anaerobiospirillum sp. were found in lower relative abundance in feces of dogs with MCTs, while Bacteroides togonis, Lactobacillus amylolyticus, Prevotella sp. CAG:279, and Megamonas hypermegale were more abundant compared to healthy dogs. Our study provides further insight into the composition of the gut microbiota in dogs with MCTs, where ECT and IL-12 GET did not lead to major shifts. We were unable to establish any association between the expression of immune markers and the microbiota. Full article

Contemporary urbanisation in hot-arid cities presents coupled challenges related to sustainability, spatial efficiency, and climate resilience. This study applies Research by Design as a preliminary methodological approach to adapt the superblock typology for Riyadh’s Al-Raed neighbourhood, integrating GIS-based territorial diagnosis with Grasshopper parametric iterations. Sixteen geospatial layers, including land use, density, road hierarchy, transit access, service distribution, green cover, and climatic exposure, inform attractor-based scenario generation and a structured comparative evaluation framework assessing regulatory compliance, human scale, connectivity, and environmental and economic feasibility. The resulting loop-and-courtyard configuration reorganises local streets to strengthen first- and last-mile access, shaded pedestrian continuity, and microclimatic comfort, while supporting Saudi Vision 2030 programs, such as the Quality of Life Program, National Transport and Logistics Strategy, Riyadh Public Transport Program, and Saudi Green Initiative. Quantitative spatial indicators are interpreted alongside design-based morphological reasoning to inform spatial decisions, acknowledging climatic and cultural constraints. This study contributes a reproducible, policy-relevant digital workflow for neighborhood-scale urban transformation in Riyadh and comparable hot-arid contexts. As a preliminary Research by Design phase, it structures iterative scenarios and a structured comparative evaluation framework, providing a foundation for subsequent quantitative and empirical validation. Full article

The integration of Internet of Things (IoT) and mobile computing in education offers new avenues to address complex health behaviors that affect cognitive performance. While traditional health education relies on passive information delivery, emerging research suggests that interactive systems can bridge the gap between intent and action. This study addresses the “double burden of malnutrition” in Ecuadorian schoolchildren (N = 120) as a Human-Computer Interaction (HCI) challenge. By utilizing a quantitative profiling approach rooted in the Social Dimensions of Health framework, we modeled the user requirements for a proposed intervention system. The findings identified a critical “Action Gap”: while 78.3% of users possess the motivation to improve habits for academic gain, 53.3% remain entrenched in high-sugar consumption patterns due to environmental latency. Statistical profiling reveals a significant dissonance ($p<0.05$) between cognitive intent and behavioral execution. Consequently, this paper presents the “Digital Bridge Architecture,” a computational framework that leverages these motivation metrics to design an Alternate Reality Game (ARG) logic. We conclude that conventional static applications may be limited in their capacity to support sustained behavioral change in this context. The proposed framework suggests that context-aware, gamified feedback mechanisms can offer a promising direction for aligning academic motivation with healthier behavioral outcomes. Full article

Background: Vulvovaginal candidiasis (VVC) is a significant public health concern characterized by increasing incidence and challenges in treatment. However, most studies investigating Candida spp. virulence factors and antifungal susceptibility predominantly rely on in vitro assays. While these assays are highly reproducible, they do not accurately replicate the complex vaginal microenvironment. To address this limitation, we developed an ex vivo model using porcine vaginal mucosa and a physiologically relevant volume of simulated vaginal fluid (SFV) to better mimic human vaginal conditions. Methods: Biofilm formation and fluconazole activity were assessed using the reference strain Candida albicans ATCC 90028 and two clinical isolates associated with VVC. Results were expressed as colony-forming units (CFU) and directly compared with in vitro assays conducted in Sabouraud dextrose broth (SDB) and SVF. Results: CFU analysis revealed that the ex vivo vaginal mucosa model supported more robust biofilm development, with counts ranging from 6.67 × 10⁷ to 7.20 × 10⁷ CFU/mL, compared to the in vitro SDB assay (3.58 × 10⁷ to 4.5 × 10⁷ CFU/mL). This suggests enhanced fungal growth under tissue-based conditions. Moreover, fluconazole achieved greater biofilm eradication in the ex vivo model (>70%) compared to the in vitro SDB assay (≤34.50%), which may indicate increased antifungal activity within a physiologically relevant environment. Conclusions: The ex vivo vaginal mucosa model offers a physiologically relevant platform for supporting C. albicans biofilm development and serves as a valuable alternative for preclinical screening of antifungal agents. Full article

Background: Digitalisation and gamification are increasingly integrated into higher education, often accompanied by claims of enhanced engagement but also concerns regarding the erosion of student–teacher interaction. While prior research has focused on the effectiveness of tools or learning outcomes, less attention has been paid to how digitally mediated teaching reconfigures the interactional relations between participants. This study examined a hybrid, gamified learning setting in the MICE (Meetings, Incentives, Conferences, and Exhibitions) domain, with a particular focus on the interactional dynamics between teachers and students. Methods: The study employed a CyberSystemic interaction-observation framework to examine a four-week pilot course that combines synchronous online teaching, digital self-learning materials, and group project work. Observations were conducted by participating teachers during planning, execution, and immediate follow-up. Student perspectives were captured through a post-course survey using a 5-point Likert scale, complemented by qualitative follow-up interviews focused on prospective adaptations in future interaction cycles. Results: Interaction observations revealed high levels of student activation during time-bounded, task-oriented phases, particularly in group work and gamified activities, alongside periods of passivity during lecture-heavy phases. Survey results indicate generally positive evaluations of interactive and reflective course elements, though substantial variance exists across participants. Interaction density between teachers and students increased during execution and declined sharply afterwards, suggesting situational rather than sustained relational coupling. Conclusions: The findings indicate that gamified and digitally supported learning environments can enhance short-term engagement and operational coordination, but do not automatically stabilise student–teacher relations or learning processes over time. Within the observed timeframe, gamification appeared most effective when embedded within structured interaction and human facilitation rather than treated as a substitute for them. The study emphasises the significance of temporality and interaction design in assessing collective intelligence while highlighting how immediate feedback can inform future operational and managerial adaptation in hybrid educational systems. Full article

Dangerous goods transport (DGT) is of strategic importance for any economy, and the structure of the fuel and energy industry includes a number of systems and facilities qualified as “critical infrastructure” (CI). Given the current geopolitical situation, sabotage, hybrid or even terrorist activities in the area of logistics and transport pose an increasing threat. At the same time, next to the economic sector, liquid fuels are of great importance to citizens, which is why the transport of this group of goods should be given special importance, ensuring appropriate efficiency and safety parameters, taking into account the risk of intentional, destructive human interference. A significant source of data in the road transport of dangerous goods is the spatial data infrastructure (SDI); digital interactive platforms (DIP) are important here. This scientific research work concerns the application of DIP and related information technologies (IT) in road transport—smart mobility (SM). The main objective of the scientific research work is to develop proposals for effective tools to minimize the overall risk, using publicly available digital interactive platforms. In the implementation of the topic, the following methods were integrated: OKR (Objectives and Key Results), SMART (Specific, Measurable, Achievable, Relevant, Time-bound) and CS (Case Study). The main problem was identified and the main goal of the work was achieved. The results made it possible to present effective risk minimization tools in DGT using DIP. The elaboration was prepared under the research subvention of the AGH University of Krakow, No. 16.16.150.545 in 2026. Full article

Harmful algal blooms have occurred more frequently in recent decades and threaten aquaculture, tourism and human health. As a promising control method, most studies on allelopathic mechanisms have focused on the physiological effects on harmful algae. This study employed a multiomics approach to investigate the allelopathic response of the dinoflagellate Scrippsiella acuminata to the allelochemical protocatechuic acid, a phenolic compound known for its inhibitory effects on algal growth. Using transcriptomic, proteomic, and metabolomic analyses, we identified significant changes in gene expression (5247 upregulated and 81 downregulated), protein expression (56 upregulated and 49 downregulated), and metabolite profiles (320 upregulated and 168 downregulated) in response to allelochemical stress. Transcriptomic data revealed an upregulation of genes associated with antioxidant systems and energy metabolism, suggesting a potential antioxidant response to protocatechuic acid exposure. Proteomic analysis highlighted the impact on photosynthesis, energy metabolism, and genetic information processing, with a particular emphasis on the modulation of lipid and carbohydrate metabolism to adapt to stress. Metabolomic profiling corroborated these findings, demonstrating shifts in lipid and amino acid metabolism indicative of an adaptive strategy for energy storage and maintenance of cellular homeostasis under allelochemical stress. Notably, alterations in photosynthesis-related proteins and metabolites indicated a direct effect of protocatechuic acid on the photosynthetic machinery, potentially impairing algal growth and energy production. In conclusion, our multiomics analysis provides a comprehensive view of the complex response of S. acuminata to allelochemical stress, revealing the intricate interplay among genetic, proteomic, and metabolic adjustments. These insights contribute to the understanding of allelopathic interactions and offer potential avenues for the development of novel strategies to manage harmful algal blooms. Full article

Analyzing events in dynamic environments poses a fundamental challenge in the development of intelligent agents and robots capable of interacting with humans. Current approaches predominantly rely on visual–text models; however, these methods often capture information implicitly from images, lacking interpretable and structured spatio-temporal object representations and their relationships. To address this issue, we introduce DyGEnc—a novel method for dynamic graph encoding. This method integrates compressed spatio-temporal representation with the cognitive capabilities of large language models. The purpose of this integration is to enable advanced question answering based on sequences of textual scene graphs. Extensive evaluations on the STAR and AGQA datasets demonstrate that DyGEnc improves large language model performance when addressing queries related to the history of human–object interactions. Furthermore, the proposed method can be extended to process input images by leveraging foundation models to extract explicit textual scene graphs, as validated by the evaluation results. We expect these findings to contribute to the development of robust and compact graph-based memory for long-horizon reasoning in real-world applications, as demonstrated in a robotic experiment conducted using a wheeled manipulator platform. Full article

This study traces the metamorphoses of concealment from Hesiod’s observation that “the gods keep the means of life concealed from human beings” to contemporary attention economies. In Hesiod’s pronouncement the event of concealment generates the dialectic of need and surplus, from which anthropological difference emerges, distinguishing the human from the animal and the divine. Divine concealment simultaneously creates humanity as seeker, sustenance as sought, and technics as necessity. Bataille’s “general economy” expands this framework from its theological to secular dimensions and from human labor to terrestrial life through solar energy, showing how technique generates discrete perception. Platonov’s revolutionary writings attempt to overcome nature’s dialectics through a quasi-theology of labor, yet the resulting socialist tragedy reveals a marked disproportion between technical development and subjective formation. Contemporary digital technologies transform concealment fundamentally: attention becomes liberated from searching for the hidden, only to be captured and commodified. Semiotic surplus manifests everywhere while material access remains restricted. The ancient matrix of concealment persists through digital transformations, assuming new forms while preserving its essential structure across radically different economic and technological conditions. Full article