Search Results (9,931)

In this study, we designed and synthesized 11 N-aryl-S-aryl-2-mercaptoacetamide derivatives as new tyrosinase inhibitors (TYRIs). Experiments with pyrocatechol violet confirmed that four derivatives showed copper-chelating abilities similar to or superior to those of well-known copper-chelating TYRIs like kojic acid (KA) and N-phenylthiourea. However, these four derivatives showed little or no inhibition of mushroom TYR (mTYR) activity and melanin production in B16F10 cells. Instead, derivatives with low copper chelation ability exhibited potent inhibitory effects on mTYR activity and melanin production in B16F10 cells. These findings suggest that the results of metal ion chelation by inhibitors in an enzyme-free environment do not always match those under metalloenzyme conditions because of the interactions between inhibitors and amino acid residues around the metalloenzyme active site. Owing to their favorable interactions with amino acids in the mTYR active site, two of the derivatives inhibited mTYR more effectively than KA. Probably for the same reason, three derivatives inhibited B16F10 cellular TYR more effectively than KA, and one derivative inhibited pigment production in zebrafish larvae much better than KA. This last derivative, which effectively exhibits TYR-inhibitory activity and suppresses melanin production in several species, is considered a promising compound for use as a TYRI in various fields. Full article

Halide perovskites have many advantages in environmental remediation. The photocatalytic performance of halide perovskites is often hindered by low specific surface area and rapid photogenerated carrier recombination. The aim of this work is to prepare a green, novel photocatalyst in the form of biochar-anchored Cs₃Bi₂Br₉ perovskite composites. The rose-petal-derived biomass carbon (RC) provides adsorption sites and high electrical conductivity, while the perovskite Cs₃Bi₂Br₉ can efficiently capture visible right and degrade pollutants, and the reciprocal effect can enhance the photocatalytic efficiency of the composite. The results of scanning electron microscopy (SEM) showed the Cs₃Bi₂Br₉ particles were loaded on the surface of RC. Compared with bare Cs₃Bi₂Br₉, Cs₃Bi₂Br₉/RC composite has a more perfect structure, higher specific surface area, enhanced ability to absorb visible light, and reduced bandgap value. As visible-light-driven photocatalysts, the prepared Cs₃Bi₂Br₉/RC composites can enhance the removal efficiency of Rhodamine B. The Cs₃Bi₂Br₉/RC–0.2 composite displays the highest degradation efficiencies for RhB (10 mg/L), reaching 98% within 60 min. And the rate constant (k) is 1.9 times that of bare Cs₃Bi₂Br₉. The results of electrochemical impedance spectroscopy (EIS) show that the interaction between RC and Cs₃Bi₂Br₉ speeds up charge carrier separation and transfer. During photocatalytic process, holes (h⁺) and superoxide radicals (·O₂⁻) played major roles. The composites also showed excellent stability. It is meaningful to deal with a large number of withered rose petals to make them high-value products. This work not only provides a guideline for the construction of perovskite composites materials but also shows the promising prospects of biochar composites in deep treatment for contaminated water. Full article

Salicyluric acid (SUA), the main metabolite of aspirin and a natural product, is known for its ability to chelate iron and other metal ions. In particular, the chelation and increased excretion of iron by SUA may contribute to the aspirin-induced iron deficiency anemia observed in long-term aspirin users. The redox activity of iron and copper complexes of drugs and also drug metabolites, such as SUA, is an important parameter of their overall toxicity profile, including the induction of ferroptosis, which has been associated with many diseases. In this context, the effect of SUA on iron- and copper-induced lipid peroxidation and also its localization within a model lipid membrane have been investigated. A combination of physicochemical methods, including Nuclear Magnetic Resonance (¹H NMR), molecular dynamics (MD), and Nuclear Overhauser Effect Spectroscopy (¹H NOESY), has been used to demonstrate that SUA does not promote the peroxidation of linoleic acid micelles in the presence of Fe(II) or Cu(II) ions. NMR experiments revealed that SUA incorporates into the lipid bilayer, which stabilizes the ligands and inhibits its metal chelation ability in comparison to the control. NOESY experiments and MD simulations further showed that SUA localizes shallowly within the membrane, interacting primarily with the head group and upper acyl chain regions of lipids. These findings provide crucial insights into the membrane redox reactivity and other behavior of SUA, explaining its lack of pro-oxidant activity and also highlighting its complex role in the pharmacological and toxicological effects on iron metabolism in long-term aspirin users. Full article

The combination of supported lipid bilayers (SLBs) with the Quartz Crystal Microbalance with Dissipation monitoring (QCM-D) has been proven to be a powerful tool to simultaneously monitor mass and viscoelastic changes related to membrane binding-events. In this work, the above methodology is employed for the study of the interaction of the Early Endosomal Antigen 1 (EEA1) to a model lipid bilayer that mimics the early endosome (EE) membrane, focusing on the membrane composition. Starting with the formation of a lipid bilayer through the vesicles fusion technique, we investigated the formation of SLBs that incorporate phosphatidylinositol 3-phosphate (PI(3)P), a key component for EEA1 binding, in combination with other lipids, e.g., (1,2-dioleoyl-sn-glycero-3)-phosphocholine (DOPC), -phosphoserine (DOPS), -phosphoethanolamine (DOPE), and cholesterol (Chol). The interaction of the full-length coiled-coil EEA1 to the formed SLBs was further studied in real time with the QCM-D and characterized with respect to the lipid composition and pH. Our findings confirm that PI(3)P is essential for the EEA1–membrane interaction, while it was shown that Chol and phosphatidylserine greatly influence the binding event. In fact, including 30% Chol in a PI(3)P (3%):PS (6%) SLB resulted in almost double EEA1 binding than in the absence of Chol. Moreover, we employed the QCM-viscoelastic model available to analyze the QCM-D data with emphasis on the study of the protein conformation. Our results showed that, in our in vitro system, EEA1 is not fully extended and/or highly packed, but is mainly in a bent, distorted conformation with an average size close to 100 nm. This study complements previous works employing in vitro assays, also demonstrating the ability to reconstitute more complex biomimetic EE membranes containing inositol phospholipids on a QCM surface for the study of EEA1 binding. Full article

Seasonal dynamics in wetland landscapes are closely associated with habitat availability and are likely to influence the spatial organization and diversity of waterbird communities. However, most existing studies rely on static land-cover representations or single spatial scales, limiting our ability to characterize how waterbirds respond to seasonally shifting habitats across scales. Focusing on the Qilihai Wetland in Tianjin, China, we combined high-frequency waterbird surveys from 2019–2021 with multi-temporal, season-matched Sentinel-2 imagery and the Dynamic World dataset. Partial least squares regression (PLSR) was applied across a continuous spatial gradient (100–3000 m) to quantify scale-dependent statistical associations between landscape composition and configuration derived from satellite-mapped habitat mosaics on different functional groups. Waterbird diversity exhibited pronounced seasonal contrasts. During the breeding and post-fledging period, high-diversity assemblages were stably concentrated within core wetland areas, showing limited spatial variability. In contrast, during the wintering and stopover period, community distributions became increasingly dispersed, with elevated spatial heterogeneity and interannual variability associated with habitat reorganization. The scale of effect shifted systematically between seasons. In the breeding and post-fledging period, both waterfowl and waders responded predominantly to local-scale landscape factors (<800 m), consistent with nesting requirements and microhabitat conditions. During the wintering and stopover period, however, the characteristic response scale of waterfowl expanded to 1500–2000 m, suggesting stronger associations with broader landscape context, whereas waders remained closely linked to local-scale shallow-water and mudflat connectivity (~200 m). Functional traits played a key role in structuring these scale-dependent responses, with diving behavior and tarsus length being associated with strong constraints on habitat use. Overall, our results suggest that waterbird diversity patterns emerge from the interaction between seasonal habitat dynamics, landscape structure, and functional trait filtering, underscoring the need for phenology-informed, multi-scale conservation strategies that move beyond static spatial boundaries. Full article

Cyclodextrins and chitosan are biomaterials largely used as pharmaceutical excipients due to their biocompatibility, biodegradability, and low/absent toxicity, associated with a number of favorable properties. In particular, cyclodextrins complexation is mainly utilized to improve the physicochemical and biological properties of drugs, including solubility, stability, and bioavailability, and to reduce their irritating effect. Nevertheless, some disadvantages related to the fast removal of the complex from blood circulation after in vivo administration, and possible competition effects for interaction with cyclodextrin between the complexed drug and other molecules present in the biological environment, can reduce their efficacy as drug carriers. On the other hand, chitosan is widely employed to take advantage of its mucoadhesive, controlled/targeted release, and permeation-enhancing properties. However, its almost complete insolubility in water and poor affinity towards hydrophobic molecules (as most drugs are) are considered its main drawbacks, which could strongly limit its applicability. Due to the several beneficial properties of both cyclodextrins and chitosan, their joint use could provide additional favorable effects in drug delivery and help overcome their disadvantages, in particular by combining the complexing/solubilizing ability of the former towards hydrophobic molecules with the mucoadhesive and controlled/targeted release properties of the latter. The present review is intended to provide a critical and comprehensive summary of the main relevant investigations performed in the last twenty-five years regarding the applications and possible advantages that can be obtained by the combined use of cyclodextrins and chitosan in the development of more effective drug delivery systems. Full article

FLASH radiotherapy requires real-time, non-invasive beam monitoring systems capable of operating under ultra-high dose rate (UHDR) conditions without perturbing the therapeutic beam. In this work, we characterized the extraction system of Supersonic Gas Curtain-based Ionization Profile Monitor (SGC-IPM) for its capabilities as a transverse beam profile and position monitor for FLASH protons. The monitor utilizes a tilted gas curtain intersected by the incident beam, leading to the generation of ions that are extracted through a tailored electrostatic field, and detected using a two stage microchannel plate (MCP) coupled to a phosphor screen and CMOS camera. CST Studio Suite was employed to conduct electrostatic and particle tracking simulations evaluating the ability of the extraction system to measure both beam profile and position. The ion interface, at the interaction region of proton beam and gas curtain, was modeled with realistic proton beam parameters and uniform gas curtain density distributions. The ion trajectory was tracked to evaluate the performance across multiple beam sizes. The simulations suggest that the extraction system can reconstruct transverse beam profiles for different proton beam sizes. Simulations also supported the system’s capability as a beam position monitor within the boundary defined by the beam size, the dimensions of the extraction system, and the height of the gas curtain. Some simulation results were benchmarked against experimental data of 28 MeV proton beam with 70 nA average beam current. This study will further help to optimize the design of the extraction system to facilitate the integration of SGC-IPM in medical accelerators. Full article

Background/Objectives: Subsequent musculoskeletal injuries are frequent among physically active young adults, yet the roles of body composition, training weekly load (TWL), and physical activity intensity in subsequent injury occurrence remain unclear. This study examined the associations of body composition indices and training-related variables with subsequent injuries in university students and explored whether combining key markers from body composition and training exposure improves discrimination compared with single markers. Methods: The analysis included 418 students from two cohorts merged after confirming negligible between-cohort differences. Participants completed questionnaires on injury history and physical activity and underwent standardized anthropometric and body composition assessments. Intrinsic factors included fat mass index (FMI) and skeletal muscle mass index (SMI), while extrinsic factors comprised training weekly load (TWL), total physical activity (TPA), and vigorous activity percentage (VPA%). Subsequent injury (yes/no) served as the primary outcome. Injuries were assessed retrospectively over the preceding 12 months; subsequent injury was defined as ≥1 injury occurring after a previous (index) injury within this recall period. Analyses used univariate and multivariable logistic regression and exploratory Receiver Operating Characteristic (ROC) analyses for individual markers and combined models. Results: SMI was associated with subsequent injury (OR = 1.09, 95% CI: 1.03–1.15). TWL showed a weak, non-significant association (OR = 1.03, p = 0.307). Models combining SMI and TWL, including their interaction, did not meaningfully improve discrimination compared with SMI alone. ROC analyses indicated limited discriminatory ability across models (AUCs < 0.65), suggesting poor accuracy for identifying individuals with subsequent injury based on these markers. Conclusions: The examined body composition, training weekly load (TWL), and physical activity measures alone or combined showed limited discriminatory utility for subsequent injury status in this cross-sectional sample. These findings support the multifactorial nature of injury susceptibility and indicate that simple anthropometric or TWL-based measures are not suitable as standalone screening tools for subsequent injury in active university populations. Full article

The application of bioactive nanoemulsions in the meat industry has attracted great interest due to their ability to improve the stability, bioavailability, and functionality of bioactive compounds, contributing to the extension of the shelf-life of highly perishable products, such as sausages and meat patties. Thus, this review provides a critical analysis of the application of nanoemulsions in sausages and meat patties, with emphasis on their mechanisms of action, formulation strategies, and performance in improving oxidative stability and microbial safety. Nanoemulsions, typically characterized by droplet sizes below 200 nm, increase interfacial area and penetration into meat matrices, resulting in reductions of 30–60% in lipid oxidation markers and decreases of 1–2 log CFU/g in spoilage and pathogenic microorganisms. Preparation and stabilization approaches, including high-energy and low-energy methods, are summarized, and the influence of nanoemulsion characteristics on texture, color, pH, and sensory perception is discussed. Particular attention is given to technological barriers, such as scale-up feasibility, stability during processing and storage, interactions with meat proteins, as well as regulatory and labeling considerations related to nano-enabled foods. Overall, the current evidence indicates that NEs represent a viable strategy to replace synthetic preservatives while supporting clean-label product development; however, further research on safety assessment, optimal dosing, and consumer acceptance is still required for broader industrial implementation. Full article

Volatile organic compounds (VOCs) play a central role in plant communication and ecology, acting as a chemical language that mediates interactions with other organisms and responses to environmental stimuli. Analyzing changes in the plant volatilome enables the effective differentiation between biotic and abiotic stresses. Consequently, monitoring VOC emissions offers valuable insights into plant signaling pathways and health status. These insights position this approach as a promising strategy for improving crop protection. Direct infusion (DI) online analytical techniques, such as proton transfer reaction mass spectrometry (PTR-MS) and adduct ionization mechanism mass spectrometry (AIM-MS), have been developed to detect and characterize VOCs in real time. Here, we evaluated the suitability of PTR-MS and AIM-MS for monitoring VOC emissions in pea plants (Pisum sativum L.). Comparative analysis revealed that AIM-MS, a recently developed technology, detected a higher number of distinct signals than PTR-MS. Annotation of detected and significant AIM-MS signals indicated a predominance toward those that were putative lipids-derived and amino acids-derived, whereas PTR-MS signals were primarily associated with putative phenolic compounds. These findings suggest that the newly developed AIM reactor offers a broader detection range and may enhance our ability to monitor plant VOC emissions. Consequently, AIM-MS emerges as a promising tool for the real-time assessment of pea plant health and stress responses. Further efforts are needed to improve the portability of DI-MS techniques and to integrate them with GC-MS techniques. Overall, these efforts will allow this technology to be exploited for plant protection in compromised environments. Full article

A numerical simulation is conducted to investigate the interaction and burnout characteristics of mixed coal under O₂/CO₂ atmosphere in a 200 MW tangential firing boiler. Multiple models are utilized to simulate the flow and combustion processes inside the furnace, and a three-dimensional full-furnace model is constructed using an improved Weighted-Sum-of-Gray-Gases (WSGG) model. Using two types of coal and their mixed coal, the combustion of mixed coal under four O₂/CO₂ atmospheres is examined. Results show that there exists a significant interactive effect of promoting ignition and inhibiting burnout between difficult-to-ignite coal and easy-to-ignite coal. Increasing the proportion of easy-to-ignite coal helps improve the ignition performance of mixed coal. With a high proportion of easy-to-ignite coal, the oxygen-grabbing ability is enhanced. Increasing the inlet oxygen concentration can facilitate coal ignition and effectively enhance the burnout rate of difficult-to-ignite coal, mitigating the adverse effects of burnout inhibition. Among five typical oxidant-stream distribution methods, the positive pagoda oxidant-stream distribution can satisfy the combustion requirements of each layer, achieve relatively high burnout rates for difficult-to-ignite coal and mixed coal, and demonstrate the optimal comprehensive combustion performance. The findings can provide valuable references for optimizing oxygen-enriched combustion in boilers, thereby promoting the sustainability of coal-fired power generation. Full article

This article examines how the role of digital platforms is reshaping political communication and consensus-building in contemporary societies. It questions how algorithmic architectures are transforming the relationship between leadership, audiences, and power. Drawing on an empirical analysis of online interaction data, the study analyses Donald Trump’s political communication during the August 2025 summit with Putin in Alaska, presenting it as a paradigmatic example of networked leadership. The study focuses on the dynamics of mobilisation, polarisation, and identity construction within digital ecologies. The findings show that the leader’s centrality derives not only from traditional party structures, but also from the ability to coordinate heterogeneous communication flows as well as activate processes of affective and symbolic resonance. The article proposes a theoretical model that conceptualises Trump’s audience as a cognitive and emotional power device, highlighting the convergence of post-organisational populism, algorithmic mediatisation, and communicative governance. This leadership expresses forms of “algorithmic charisma” that redefine the modalities of political legitimacy. Methodologically, the study highlights the value of data-driven interpretive approaches, while also addressing their limitations related to algorithmic transparency and replicability. In conclusion, the article offers a critical reflection on emerging ecologies of consensus and the democratic implications of the ongoing “platformisation” of the public sphere. Full article

Today, machine learning (ML) is generally considered a potent and efficient tool for addressing studies in various diverse domains, including image processing and event prediction on a timescale. ML represents complex relations between features, and these mappings between such features may be applied in simulations of time-dependent events, such as the behavior of animals. Still, ML inherently strongly depends on extensive and consistent datasets, a fact that reveals both the benefits and drawbacks of ML. In the use of ML, insufficient or skewed data can limit the ability of algorithms to accurately predict or generalize possible states. To overcome this limitation, this work proposes an integrated hybrid approach that combines machine learning with methods from cognitive science, here especially inspired by the ACT-R model to approach cases of missing or unbalanced data. By incorporating cognitive processes such as memory, perception, and attention, the model accounts for the internal mechanisms of decision-making and environmental interaction where traditional ML methods fall short. This approach is particularly useful in representing states that are not directly observable or are underrepresented in the data, such as rare behavioral responses for animals, or adaptive strategies. Experimental results show that the combination of machine learning for data-driven analysis and cognitive ‘rule-based’ frameworks for filling in gaps provides a more comprehensive model of animal behavior. The findings suggest that this hybrid approach to simulation models can offer a more robust and consistent way to study complex, real-world phenomena, especially when data is inherently incomplete or unbalanced. Full article

The predominant approach in the realm of industrial process monitoring and control involves the utilization of HMI (Human–Machine Interface) interfaces and conventional SCADA (Supervisory Control and Data Acquisition) systems. This limitation restricts user mobility, interaction with industrial equipment, and process status assessment. In the context of Industry 4.0, the ability to monitor and control industrial processes in real time is paramount. The present paper designs and implements a system for monitoring and controlling an industrial assembly line based on mixed reality. The technology employed to facilitate communication between the system and the industrial line is S7.Net. These elements facilitate direct communication with the industrial process equipment. The system facilitates the visualization of operating parameters and the status of the equipment utilized in the industrial process and its control. All data is superimposed on the physical environment through virtual operational panels. The system functions independently, negating the necessity for intermediate servers or other complex structures. The system’s operation is predicted on a series of algorithms. These instruments facilitate the automated analysis of industrial process parameters. These devices are utilized to ascertain the operational dynamics of the industrial line. The experimental results were obtained using a real industrial line. These models are employed to demonstrate the performance of data transmission, the identification of the system’s operating states, and the system’s ability to shut down in the event of operating errors. The proposed system is designed to function in a variety of industrial environments within the paradigm of Industry 4.0, facilitating the utilization of multiple virtual interfaces that enable user interaction with various elements through which the assembly process is monitored and controlled. Full article

This paper presents the design and feasibility evaluation of a low-cost, head-mounted pupil dilation tracking system based on computer vision. The proposed solution employs a standard webcam and active infrared illumination, enabling stable eye image acquisition under controlled lighting conditions. The developed image processing pipeline incorporates adaptive contrast enhancement and geometric pupil detection, allowing for the estimation of relative changes in pupil diameter in real time. System evaluation was conducted in a controlled experiment involving 24 participants performing an N-back task with emotional modulation, a well-established paradigm for eliciting task-evoked pupillary responses under constant working-memory demands. The results revealed statistically significant changes in relative pupil dilation in response to stimuli with varying emotional valence during a working memory task, confirming the system’s ability to capture task-evoked pupillary responses (TEPRs). The proposed system constitutes a low-cost research tool for studies of task engagement and physiological responses in the context of human–computer interaction and psychophysiology, with a focus on the analysis of functional pupilometric changes. Full article