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The central nervous system (CNS) diseases are major contributors to death and disability worldwide. However, the blood–brain barrier (BBB) often prevents drugs intended for CNS diseases from effectively crossing into the brain parenchyma to deliver their therapeutic effects. The blood–brain barrier is a semi-permeable barrier with high selectivity. The BBB primarily manages the transport of substances between the blood and the CNS. To enhance drug delivery for CNS disease treatment, various brain-based drug delivery strategies overcoming the BBB have been developed. Among them, nanoparticles (NPs) have been emphasized due to their multiple excellent properties. This review starts with an overview of the BBB’s anatomical structure and physiological roles, and then explores the mechanisms, both endogenous and exogenous, that facilitate the NP passage across the BBB. The text also delves into how nanoparticles' shape, charge, size, and surface ligands affect their ability to cross the BBB and offers an overview of different nanoparticle classifications. This review concludes with an examination of the current challenges in utilizing nanomaterials for brain drug delivery and discusses corresponding directions for solutions. This review aims to propose innovative diagnostic and therapeutic approaches for CNS diseases and enhance drug design for more effective delivery across the BBB. Graphical abstract

This paper presents an overview of antenna designs for passive radio frequency identification (RFID) tags for near field communication (NFC) and electronic article surveillance (EAS) systems. We discussed several antenna designs such as handheld reader antennas and fixed reader antennas for various applications. The paper also provides a brief discussion on RFID technology with its current state-of-the-art applications. We compare NFC and EAS technologies by reviewing contemporary research in these with reported antenna designs and applications. The paper discusses the design procedure for these antennas along with their characteristics and results. Moreover, the results presented by different researchers have been discussed in detail. It has been observed from the presented literature that RFID technology is key to many existing as well as future applications.

Understanding human mobility is crucial for a broad range of applications from disease prediction to communication networks. Most efforts on studying human mobility have so far used private and low resolution data, such as call data records. Here, we propose Twitter as a proxy for human mobility, as it relies on publicly available data and provides high resolution positioning when users opt to geotag their tweets with their current location. We analyse a Twitter dataset with more than six million geotagged tweets posted in Australia, and we demonstrate that Twitter can be a reliable source for studying human mobility patterns. Our analysis shows that geotagged tweets can capture rich features of human mobility, such as the diversity of movement orbits among individuals and of movements within and between cities. We also find that short- and long-distance movers both spend most of their time in large metropolitan areas, in contrast with intermediate-distance movers' movements, reflecting the impact of different modes of travel. Our study provides solid evidence that Twitter can indeed be a useful proxy for tracking and predicting human movement.

In recent years, the occurrence of high-voltage cable buffer layer ablation faults has become frequent, posing a serious threat to the safe and stable operation of cables. Failure to promptly detect and address such faults may lead to cable breakdowns, impacting the normal operation of the power system. To overcome the limitations of existing methods for identifying buffer layer ablation faults in high-voltage cables, a method for identifying buffer layer ablation faults based on frequency domain impedance spectroscopy and artificial intelligence is proposed. Firstly, based on the cable distributed parameter model and frequency domain impedance spectroscopy, a mathematical model of the input impedance of a cable containing buffer layer ablation faults is derived. Through a simulation, the input impedance spectroscopy at the first end of the cables under normal conditions, buffer layer ablation, local aging, and inductive faults is performed, enabling the identification of inductive and capacitive faults through a comparative analysis. Secondly, the frequency domain amplitude spectroscopy of the buffer layer ablation and local aging faults are used as datasets and are input into a neural network model for training and validation to identify buffer layer ablation and local aging faults. Finally, using multiple evaluation metrics to assess the neural network model validates the superiority of the MLP neural network in cable fault identification models and experimentally confirms the effectiveness of the proposed method.

IntroductionMoral distress is a significant challenge in contemporary nursing practice, posing a substantial threat to nurses’ well-being and patient safety. Nurses in the emergency department are considered a high-risk group for experiencing this distress due to their unique working environment. Although numerous qualitative studies have explored this issue, a systematic synthesis of this fragmented evidence is notably absent. This qualitative meta-synthesis aims to integrate existing evidence to construct a comprehensive conceptual framework of the experiences, processes and coping mechanisms related to moral distress among emergency nurses.Methods and analysisThis study will be a qualitative systematic review and meta-synthesis, adhering to the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols statement and the Joanna Briggs Institute (JBI) methodology. A systematic search will be conducted in international and Chinese databases, including PubMed, CINAHL, Embase, CNKI, etc. All peer-reviewed qualitative studies exploring the first-person experiences of emergency nurses will be included. Two independent reviewers will perform study selection, data extraction and methodological quality appraisal using the JBI Critical Appraisal Checklist for Qualitative Research. Data synthesis will employ a theory-integrated meta-aggregation approach, systematically mapping findings onto the Stress, Appraisal, and Coping Theory to construct a nuanced conceptual framework that explains the dynamic process of moral distress. Confidence in the synthesised findings will be assessed using the ConQual approach.Ethics and disseminationAs this study is a secondary analysis of published data, ethical approval is not required. The findings will be disseminated through publication in a peer-reviewed journal and presentations at academic conferences.PROSPERO registration numberCRD420251041396.

Hydraulic conductivity tests and numerical simulations were conducted to evaluate the leakage through a geosynthetic clay liner (GCL)–geomembrane composite liner with a geomembrane defect under mechanical–chemical coupled conditions. A circular geomembrane defect with a diameter of 2 to 7 mm was created in the geomembrane to simulate different defect sizes that may be encountered in the field. Hydraulic conductivity tests were conducted on 155-mm-diameter specimens under an average effective stress of 40 or 240 kPa to simulate different layers of waste placed and permeated with the 100 or 250 mM CaCl[sub.2] solution to simulate the aggressive waste leachates that could increase the hydraulic conductivity of GCLs. The maximum leakage rate that can be observed in the field was calculated using the equivalent hydraulic conductivity of the composite liner or predicted using finite-element modeling. The results show that the leakage rate of the composite liner with a geomembrane defect was consistently lower than the leakage rate of the GCL alone. The decrease in the size of geomembrane defects, the decrease in leachate concentration, and the increase in effective stress resulted in a decrease in the leakage rate. Nevertheless, the leakage rate of the composite liner was only up to 17× lower than the leakage rate of GCL alone. The composite liner with a geomembrane defect was not able to achieve an equivalent or lower leakage rate than a standard compacted clay liner alone, suggesting that GCLs need to maintain low hydraulic conductivity even with the protection of geomembranes.

Despite growing interest in sustainable supply chains, we still know relatively little about how environmental requirements transmitted from key customers along the supply chain affect firms’ productivity and long-run economic sustainability. To address this gap, we introduce the notion of green supply chain pressure, downstream customers’ explicit green and low-carbon requirements on suppliers, and examine its implications for firm-level productivity and the mechanisms involved. Using a panel of Chinese A-share listed firms over 2014–2024, we construct a novel text-based index of green supply chain pressure by combining supply-chain relationship data with MD&A disclosures of major customers. Firm-level economic sustainability is measured by Levinsohn–Petrin total factor productivity, with Olley–Pakes estimates used for robustness. Fixed-effects regressions with industry–year and city–year controls show that stronger green supply chain pressure is associated with significantly higher productivity. Mediation analysis reveals that this effect operates partly through three resource-intensive adjustment channels: (i) a higher share of green patents in total innovation, (ii) capital deepening via a higher share of digital and intelligent fixed assets in total net fixed assets, and (iii) human capital upgrading through a larger proportion of highly educated employees. Interaction models further indicate that financing constraints critically condition these gains: the productivity effect of green supply chain pressure is stronger for firms with greater financial slack, and for high-tech, green-attribute and larger firms. Overall, the results highlight supply chain-based governance as a powerful complement to formal regulation for promoting long-run economic sustainability at the firm level.

With the rapid pace of population aging, the health issues of the older adult have garnered widespread attention. Social participation plays a pivotal role in the health of the older adult. This study aims to explore the impact of social participation on the health status of the older adult. Using a binary logistic regression model, this study analyzes the influence of social participation methods on the health status of older adult individuals in China based on cross-sectional data from the \"China Comprehensive Social Survey\" in 2021. The study sample comprises individuals aged 60 to 99 years. It was found that participation in physical activities [P<0.001, OR = 1.907], social and recreational activities [P<0.001, OR = 1.387], and online activities [P<0.001, OR = 1.808] were significantly positively correlated with the health status of the older adult. The health of older adults is influenced by a combination of physical activities, social and recreational activities, and online activities. Good health is closely associated with high levels of physical activity. Engaging in physical exercise promotes physiological health, while participating in social and recreational activities has a significant impact on cognitive and depressive states. Additionally, involvement in online activities helps alleviate feelings of loneliness and enhances overall well-being. 1)Promote the development of physical activities for the older adult: Create an integrated environment for physical exercise. 2)Expand the social circle of the older adult: Construct diverse and structured communities to enhance well-being. 3)Develop online activities for the older adult: Facilitate their integration into the digital age. 4)Foster interdisciplinary collaboration for older adult health: Build partnerships across various domains to promote older adult health.

How the intestinal tract develops a tolerance to foreign antigens is still largely unknown. Here we report that extracellular vesicles (EVs) with TGF-β1-dependent immunosuppressive activity are produced by intestinal epithelial cells (IECs) under physiological conditions. Transfer of these EVs into inflammatory bowel disease (IBD) mice induced by dextran sulfate sodium salt decreases IBD severity by inducing regulatory T cells and immunosuppressive dendritic cells. In contrast, decreased endogenous EV production promotes IBD development. IECs produce EVs with increased levels of TGF-β1 upon IBD development in an ERK-dependent manner. Furthermore, these EVs tend to localize in the intestinal tract associated with epithelial cell adhesion molecule (EpCAM). Knockdown of EpCAM in vivo increases the severity of murine IBD, and the protective effect of EVs from IECs with decreased EpCAM on murine IBD is blunted. Therefore, our study indicates that EVs from IECs participate in maintaining the intestinal tract immune balance. The intestinal tract is continually exposed to foreign material and gut homeostasis is dependent on tolerance. Here, the authors show that extracellular vesicles released from intestinal epithelial cells stimulate T regulatory cells and immunosuppressive dendritic cells.

Do China’s provincial digital-economy policies causally improve firm productivity and manufacturing sustainability? This paper addresses this question using a panel of Chinese manufacturers from 2008 to 2023. We first construct a novel, manually coded index of provincial policy intensity. We then use an instrumental-variable strategy, based on historical post-office density and governors’ STEM backgrounds, to identify causal effects. We find that digital-economy policy has a positive and significant impact on firm-level total factor productivity (TFP). Doubling the cumulative policy stock raises TFP by approximately 3%. This effect is transmitted through four key mechanisms: enhanced innovation quality, tax incentives, targeted digital subsidies, and knowledge spillovers. These channels support sustainable, innovation-led upgrading rather than mere input expansion. We also find the TFP gains are much larger in provinces with strong fiscal capacity and in firms with high digital absorptive capabilities. This paper contributes by providing clear causal evidence of the policy–TFP link and, crucially, by quantifying the four specific mechanisms that translate digital policy into durable, productivity-based sustainability in manufacturing.