Search Results (56,040)

Nano-based drug delivery systems present a promising approach to improve the efficacy and safety of therapeutics by enabling targeted drug transport and controlled release. In parallel, computational approaches—particularly Molecular Dynamics (MD) simulations and Artificial Intelligence (AI)—have emerged as transformative tools to accelerate nanocarrier design and optimise their properties. MD simulations provide atomic-to-mesoscale insights into nanoparticle interactions with biological membranes, elucidating how factors such as surface charge density, ligand functionalisation and nanoparticle size affect cellular uptake and stability. Complementing MD simulations, AI-driven models accelerate the discovery of lipid-based nanoparticle formulations by analysing vast chemical datasets and predicting optimal structures for gene delivery and vaccine development. By harnessing these computational approaches, researchers can rapidly refine nanoparticle composition to improve biocompatibility, reduce toxicity and achieve more precise drug targeting. This review synthesises key advances in MD simulations and AI for two leading nanoparticle platforms (gold and lipid nanoparticles) and highlights their role in enhancing therapeutic performance. We evaluate how in silico models guide experimental validation, inform rational design strategies and ultimately streamline the transition from bench to bedside. Finally, we address key challenges such as data scarcity and complex in vivo dynamics and propose future directions for integrating computational insights into next generation nanodelivery systems. Full article

Hematological and immunological parameters may be influenced by various factors, including anticoagulants used to collect blood samples. This study aimed to evaluate the effect of three different anticoagulants (Li-Heparin, K₃EDTA, and ACD-A) on rainbow trout blood cell count and morphology, leukocyte viability, ROS production, and phagocytosis. These evaluations were assessed through a combined approach based on flow cytometry and microscopy. Blood cell counts revealed differences in erythrocyte and thrombocyte count between anticoagulants (p < 0.001 and p < 0.01, respectively). Whole-blood samples collected in Li-Heparin displayed no hemolysis, in contrast to ACD-A and K₃EDTA. A lower percentage of live cells and a higher percentage of apoptotic and dead cells were observed in K₃EDTA compared to ACD-A (p < 0.05). Significantly lower ROS levels were observed in myeloid cells in Li-Heparin and ACD-A, compared to K₃EDTA samples (p < 0.05). Overall, Li-Heparin better preserves rainbow trout blood cells in terms of hematological count, cell morphology, and ROS production and does not negatively affect the phagocytosis ability of leukocytes. Furthermore, the combined use of both flow cytometry and microscopy can provide a deeper insight into morpho-functional characteristics of leukocytes. Finally, we propose a flow cytometric assay to evaluate rainbow trout leukocyte viability, ROS production, and phagocytosis. Full article

Multi-branch towed array systems are an important component of subsea information collection, which is increasingly required for subsea pipeline laying and offshore platform construction as ocean energy is exploited. However, the complexity of underwater conditions poses challenges for marine towing systems when collecting information, including the possibility of towing cable collisions with protruding seabed or submerged organisms during towing system travel, or towing cable interactions during torsion. These collisions can affect and interfere with the collection of information by the towing system, and can cause damage to the towing system or even cause the towing cable to break. After the failure and detachment of the outboard guide cable of a multi-branch towing cable array, the formation of the towing system changes, and these changes are complex and related to the prevailing sea state. To study the important condition of the damaged towing system, this paper draws an analogy between the towing system and the trawl net, and speculates the formation change and mechanical response of the multi-branch towed array system after damage by combining the influencing factors of the deployment of the towing system. Full article

Background: During the global outbreak of coronavirus disease 2019 (COVID-19), the Kingdom of Saudi Arabia (KSA) ranked second in terms of the highest rate of confirmed cases among the Arab Gulf countries. This situation significantly impacted its population, economy, and healthcare system, especially the psychological well-being of frontline healthcare workers, including frontline nurses. However, there is lack of studies on this topic, particularly on the experiences of frontline expatriate nurses in the KSA, necessitating the utilization of descriptive phenomenological design. Objective: This study aimed to explore the experiences of frontline expatriate nurses and their influence on psychological well-being while delivering care to patients with COVID-19. Methods: The study employed a qualitative, descriptive phenomenological design that adhered to the key features of Husserl’s phenomenological approach and purposive sampling to select 17 frontline expatriate nurses. They participated in face-to-face semi-structured interviews. Prior to the 17 semi-structured interviews, written consent was obtained from each of the frontline expatriate nurses. The qualitative data collected were analyzed through thematic analysis and rigor was ensured in this qualitative investigation. Results: Two primary themes were identified from the interviews: (1) psychological effects due to fear of contracting the corona virus, which included two sub-themes pertaining to organizational stressors resulting in having anxiety, depression, fear, mental stress, and stigmatization; and (2) resilience to cope with the challenges brought by the pandemic, which was characterized by three sub-themes focusing on the importance of accurate information, presence of family and social support, and maintaining good health. The expatriate status of frontline nurses is a key factor influencing in their psychological well-being and resilience. Conclusions: Findings indicated that the psychological well-being of frontline expatriate nurses was adversely affected during the pandemic while caring for COVID-19 patients. Consequently, targeted interventions aimed at alleviating the negative psychological impacts of the pandemic are urgently needed to bolster the resilience of frontline expatriate nurses in emergency situations such as the COVID-19 crisis to cope with the associated psychological challenges during the peak of the pandemic, particularly among expatriate nurses. Full article

As a type of electrochemical energy storage, the vanadium redox flow battery system (VRFB) is currently one of the most promising large-scale energy storage methods. Nevertheless, the ability to accurately estimate the state of charge (SOC) is one of the critical factors restricting the commercialization of VRFBs. This review summarizes the estimation methods for the SOCs of VRFBs used by scholars in the past 10 years, comprehensively discusses the main factors affecting the accuracy of SOC estimation, and discusses the direct measurement methods, combined with modeling filter estimation methods and data-driven SOC estimation approaches currently investigated by mainstream scholars. Although several recent literature reviews describe the current modeling and estimation methods for VRFBs, there has been relatively little attention paid to the more common equivalent circuit modeling methods and parameter identification approaches. This review mainly focuses on common equivalent circuit model (ECM) modeling methods and filter estimation algorithms using modeling, and it summarizes their advantages and disadvantages. Finally, a description of potential research directions for VRFB modeling and SOC estimation in the future is presented. Full article

Background/Objectives: The prognosis of patients with hepatitis B virus-related acute-on-chronic liver failure (HBV-ACLF) is significantly affected by inflammatory state and immune dysregulation. The systemic inflammatory response index (SIRI), which reflects neutrophil, monocyte, and lymphocyte dynamics, has emerged as a potential marker of immune-inflammatory status. However, its role in predicting HBV-ACLF outcomes remains unclear. This research aims to elucidate the prognostic value of SIRI and its dynamic changes combined with disease severity scores in predicting the outcomes of HBV-ACLF. Methods: The study included HBV-ACLF patients enrolled in a multicenter clinical study between July 2019 and April 2024. Based on 90-day outcomes, the participants were categorized into survival and death groups. Clinical data and SIRI values were collected on days 0 (baseline), 3, 7, and 14. Independent prognostic factors were identified using Cox regression and least absolute shrinkage and selection operator (LASSO) analysis. The predictive value of dynamic SIRI changes combined with disease severity scores was evaluated using receiver operating characteristic (ROC) curves. Results: A total of 153 patients with HBV-ACLF were analyzed, including 104 in the survival group and 49 in the death group. SIRI values were significantly lower in the survival group than in the death group across all time points. Multivariate Cox regression analysis identified that an increased ΔSIRI at day 3 (ΔSIRI3), a higher MELD score, and a lower albumin level were independently associated with increased 90-day mortality. The combination of SIRI on day three (SIRI3) and MELD-Na score on day three (MELD-Na3) demonstrated the highest predictive performance, with an AUC of 0.817 (95% CI: 0.750–0.883). Conclusions: The combination of the SIRI and MELD-Na score on day three provides a strong predictive value for the short-term prognosis of HBV-ACLF, highlighting its potential utility in early prognostic evaluation. Full article

Background/Objectives: Temperament is an innate personality trait, influenced by genetic, biological, and environmental factors. Hearing loss, particularly during the critical period of auditory development, can influence cognitive and temperamental development. This study aims to assess the impact of hearing loss on temperamental development in infants aged between 1 and 12 months. Methods: A cross-sectional study of a sample of 132 pediatric patients from the infant hearing screening program was conducted from June 2023 to June 2024. The infants were divided into two groups based on hearing status and the presence of risk factors; cognitive and temperamental parameters were assessed using the QUIT questionnaire. Results: No significant differences were found between infants with and without hearing loss when also considering the infants without risk factors. Normal temperament was found in infants with and without hearing loss, considering both risk and non-risk factors. Finally, no relationship between hearing loss degree and temperament type, considering both the absence and presence of risk factors, was observed. Conclusions: In the early months of an infant’s life, hearing loss does not appear to significantly affect temperamental development. Only through the monitoring of these hearing-impaired infants to detect more severe hearing loss and/or in the presence of other risk factors can deviant development be hypothesized. In this regard, multidisciplinary evaluations may be crucial for the early detection and correction of dysfunctional behaviors. Full article

Neurodegenerative diseases are characterized by the irreversible and progressive loss of nerve cell function, leading to gradual cognitive decline. These diseases often result in a deterioration in quality of life and a shortened lifespan. The most common neurodegenerative diseases in humans are Alzheimer’s, Parkinson’s, and amyotrophic lateral sclerosis. The recent growing interest is due to the increasing incidence of these diseases and the lack of effective therapeutic methods that could prevent them. However, bioactive compounds contained in foods and beverages have been found to play a significant role in this respect. In particular, a growing body of reports suggests the inverse relationship between wine consumption and the development of such diseases. The main components of wine include ethyl alcohol and polyphenolic compounds (obviously, on a different scale). Wine polyphenols exhibit antioxidant and anti-inflammatory effects. Some of them may cross the blood–brain barrier and then affect the functioning of neurons and other cells. Such activity is considered to be an important factor in the prevention of neurodegenerative diseases related to inflammation, oxidative stress, and mitochondrial dysfunctions. The review presents the current knowledge on the impact of wine consumption and its components on the development of neurodegenerative diseases. Full article

This paper examines the risks linked to E-business collaboration between China and West Africa, with particular emphasis on Ghana as a pivotal digital commerce centre. This research employs the Hesitant Fuzzy Best–Worst Method (HF-BWM) to systematically identify and prioritise the institutional, technological, sociocultural, and legal issues affecting cross-border e-business operations. This study combines Transaction Cost Theory (TCT), the Technology Acceptance Model (TAM), and Commitment–Trust Theory to create a comprehensive framework for analysing the interplay of these risks and their effects on transaction costs and company sustainability. The findings indicate that institutional risks constitute the most substantial obstacles, with deficient digital transaction legislation and inadequate data governance recognised as the principal drivers of uncertainty and increased transaction costs. The research indicates that these institutional challenges necessitate immediate focus, as they immediately affect corporate operations, especially in international digital commerce. Technological risks, such as cybersecurity vulnerabilities, insufficient IT skills, and deficiencies in digital infrastructure, were identified as the second most critical factors, leading to considerable operational disruptions and heightened expenses. Sociocultural hazards, such as language difficulties and varying consumer behaviours, were recognised as moderate concerns that, although significant, exert a weaker cumulative impact than technological and institutional challenges. Eventually, legal risks, especially concerning cybercrime legislation and the protection of intellectual property, were identified as substantial complicators of e-business activities, increasing the intricacy of legal compliance and cross-border contract enforcement. The results underscore the imperative for regulatory reforms, investments in cybersecurity, and methods for cultural adaptation to alleviate the identified risks and promote sustainable growth in China–West Africa e-business relationships. This study offers practical insights for governments, business leaders, and investors to effectively manage the intricate risk landscape and make educated decisions that foster enduring collaboration and trust between China and West Africa in digital trade. Full article

This paper examines various aspects of maize plant height. Firstly, it emphasizes that maize is a significant food and forage crop with considerable research significance, and that its plant height is influenced by multiple factors, including biotic elements such as genes and plant hormones, as well as abiotic factors such as soil, water, and climate. Secondly, the paper explores the complex relationship between maize plant height and yield, noting that moderate plant height can improve photosynthetic efficiency, reduce lodging risk, and enhance yield, although it may also affect kernel quality. Additionally, the paper reviews the application of modern biotechnological methods in maize plant height research, such as genome-wide linkage analysis, gene editing, transgenic technology, and epigenetic studies, which aid in elucidating the genetic mechanisms underlying plant height. Finally, it outlines future research directions for improving maize plant height and yield, highlighting key challenges that require urgent attention, such as the advancement of gene editing techniques, the integration of multiple biotechnologies, and strategies to address climate change, with the ultimate goal of achieving precision breeding for high-yielding, stress-resistant, and broadly adaptable maize varieties. Full article

The mobile tunnel scanning system (MTSS) enables efficient tunnel inspection; however, motion blur (MB) generated at high travel speeds remains a major factor undermining the reliability of deep-learning-based crack detection. This study focuses on investigating how horizontally oriented MB in MTSS imagery affects the crack-detection performance of convolutional neural networks (CNNs) and proposes a data-centric quality-assurance framework that leverages no-reference image quality assessment (NR-IQA) to optimize model performance. By intentionally applying MB to both public and real-world MTSS datasets, we analyzed performance changes in ResNet-, VGG-, and AlexNet-based models and established the correlations between four NR-IQA metrics (BRISQUE, NIQE, PIQE, and CPBD) and performance (F1 score). As the MB intensity increased, the F1 score of ResNet34 dropped from 89.43% to 4.45%, confirming the decisive influence of image quality. PIQE and CPBD exhibited strong correlations with F1 (−0.87 and +0.82, respectively), emerging as the most suitable indicators for horizontal MB. Using thresholds of PIQE ≤ 20 and CPBD ≥ 0.8 to filter low-quality images improved the AlexNet F1 score by 1.46%, validating the effectiveness of the proposed methodology. The proposed framework objectively assesses MTSS data quality and optimizes deep learning performance, enhancing the reliability of intelligent infrastructure maintenance systems. Full article

Botulinum toxin type A (BTXA) is widely used for the treatment of sialorrhea; however, its mechanism remains unclear. Tight junctions (TJs) are limiting factors for salivary secretion through the paracellular pathway in the salivary gland, among which claudin-1 (Cldn1) is a TJ protein that mainly plays a barrier role. This study observed that Cldn1 was upregulated in BTXA-treated rats’ submandibular glands and SMG-C6 cells. Knockdown of Cldn1 reversed the BTXA-induced reduction in paracellular permeability. The transcription factor specificity protein-1 (Sp1), which binds to the Cldn1 promoter, was also upregulated by BTXA, and its expression was linked to the ERK1/2 pathway. Inhibition of ERK1/2 by U0126 reversed the BTXA-induced upregulation of Sp1 and Cldn1, as well as the reduction in paracellular permeability. MiR-124-3p, which directly targets Sp1, was downregulated by BTXA, but its overexpression counteracted Sp1 and Cldn1 upregulation. Although miR-124-3p did not affect ERK1/2 phosphorylation, ERK1/2 inhibition reversed the BTXA-induced decrease in miR-124-3p expression. These findings reveal a regulatory pathway through which BTXA reduces paracellular permeability in SMG-C6 cells via the ERK1/2/miR-124-3p/Sp1/Cldn1 axis. Full article

This study considers consumers’ risk perceptions and safety preferences as external shock factors in food safety incidents. These factors are incorporated into a general equilibrium model defined by the food safety hierarchy, and the computational experiment method is employed to examine the direction of spillover effects. According to the findings, the spillover direction and intensity of food safety incidents are jointly influenced by the characteristics of consumers, food and the market. When an incident raises consumers’ safety concerns, a negative effect occurs throughout all food sectors. When an incident has a specific impact on consumers’ risk perception, the direction of the spillover is contingent upon the safety level of the product in question. In the event that the food involved in an incident is extremely secure, it may have a detrimental effect on unrelated food goods; conversely, it may have a beneficial effect on unrelated food goods. The incident’s impact has increased in proportion to the market share of the affected food. When the market share remains constant, the impact intensity increases as the degree of food safety improves. Higher market-wide risk levels are associated with more pronounced and quicker effects. This study improves understanding of spillover patterns in food safety situations, which aids in the formulation of focused policy responses and initiatives. Full article

Extra-osseous calcification refers to the pathological deposition of calcium salts in soft tissues. Its most recognized forms affect the cardiovascular system, leading to vascular and heart valve calcifications. This process is active and regulated, involving the phenotype transition of resident cells into osteo/chondrogenic lineage. Chronic kidney disease (CKD) patients frequently suffer from vascular and other soft tissue calcification. OsteoSense dyes are fluorescent imaging agents developed to visualize calcium deposits during bone formation. In addition to its application in bone physiology, it has been used to detect vascular smooth muscle cell calcification in vitro and to evaluate calcification ex vivo. Here, we investigated CKD-associated soft tissue calcification by applying OsteoSense in vivo. CKD was induced by a diet containing adenine and elevated phosphate. OsteoSense (80 nmol/kg body weight) was injected intravenously through the retro-orbital venous sinus 18 h before the measurement on an IVIS Spectrum In Vivo Imaging System. OsteoSense staining detected calcium deposition in the aorta, kidney, heart, lung, and liver in CKD mice. On the other hand, no calcification occurred in the brain, eye, or spleen. OsteoSense positivity in the calcified soft tissues in CKD mice was associated with increased mRNA levels of osteo/chondrogenic transcription factors. Our findings demonstrate that OsteoSense is a sensitive and effective tool for detecting soft tissue calcification in vivo, and may be particularly valuable for studies of CKD-related ectopic calcification. Full article

The emergence of online medical teams (OMTs) as a multidisciplinary approach to addressing complex health issues has gained increasing academic recognition. However, the factors influencing patient adoption of medical advice in this new communication context remain underexplored. This study investigates how multi-doctor involvement in OMTs affects patient adoption of medical advice and examines the moderating roles of leader participation, disciplinary diversity, and illness complexity. The results indicate that multi-doctor involvement positively influences patient adoption of medical advice. This relationship is strengthened by leader participation and disciplinary diversity, while illness complexity exerts no significant moderating effect. As the first study to explore patient adoption of medical advice in the OMT context, these findings advance theoretical understanding and offer practical implications for improving online healthcare services. Full article