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Lead halide perovskites show great potential to be used in wearable optoelectronics. However, obstacles for real applications lie in their instability under light, moisture and temperature stress, noxious lead ions leakage and difficulties in fabricating uniform luminescent textiles at large scale and high production rates. Overcoming these obstacles, we report simple, high-throughput electrospinning of large-area (> 375 cm 2 ) flexible perovskite luminescent textiles woven by ultra-stable polymer@perovskite@cyclodextrin@silane composite fibers. These textiles exhibit bright and narrow-band photoluminescence (a photoluminescence quantum yield of 49.7%, full-width at half-maximum <17 nm) and the time to reach 50% photoluminescence of 14,193 h under ambient conditions, showcasing good stability against water immersion (> 3300 h), ultraviolet irradiation, high temperatures (up to 250 °C) and pressure surge (up to 30 MPa). The waterproof PLTs withstood fierce water scouring without any detectable leaching of lead ions. These low-cost and scalable woven PLTs enable breakthrough application in marine rescue. Instability of perovskites under light, moisture and temperature stress hinders their potential in real applications. Here Tian et al. demonstrate the high-throughput fabrication of large-area, flexible, color-tunable, waterproof and durable wearable luminescent textiles suitable for marine rescue.

Organic nonlinear optical materials have potential in applications such as lightings and bioimaging, but tend to have low photoluminescent quantum yields and are prone to lose the nonlinear optical activity. Herein, we demonstrate to weave large-area, flexible organic nonlinear optical membranes composed of 4-N,N-dimethylamino-4ʹ-Nʹ-methyl-stilbazolium tosylate@cyclodextrin host-guest supramolecular complex. These membranes exhibited a record high photoluminescence quantum yield of 73.5%, and could continuously emit orange luminescence even being heated at 300 °C, thus enabling the fabrication of thermotolerant light-emitting diodes. The nonlinear optical property of these membranes can be well-preserved even in polar environment. The supramolecular assemblies with multiphoton absorption characteristics were used for in vivo real-time imaging of Escherichia coli at 1000 nm excitation. These findings demonstrate to achieve scalable fabrication of organic nonlinear optical materials with high photoluminescence quantum yields, and good stability against thermal stress and polar environment for high-performance, durable optoelectronic devices and humanized multiphoton bio-probes. Organic nonlinear optical materials have potential in applications such as bioimaging, but tend to have low photoluminescent quantum yields and are prone to aggregation-caused quenching. Here, the authors report a host-guest approach for improving the luminescent properties of these materials.

In the context of the rapid development of big data and artificial intelligence, knowledge service theory and big data technology are applied to build a smart port supply chain knowledge service model. This model provides a personalized, intelligent, and diversified knowledge-based service system platform solution to port supply chain enterprises, helping to realize port supply chain transformation and upgrading and intelligent integrated operations. This paper analyses and summarizes the research status on knowledge service demand and port supply chain knowledge service during the development and operation of the port supply chain and applies big data and artificial intelligence technologies such as knowledge matching, knowledge fusion, and natural language processing. A port supply chain knowledge service model including knowledge acquisition, knowledge organization and knowledge service modules is constructed. The ontology method is used to construct the ontology knowledge base of the port supply chain, and based on this, computational reasoning experiments are performed. The experiments show that ontology technology demonstrates effectiveness and superiority in constructing a knowledge service system model for the port supply chain in terms of knowledge representation and knowledge reasoning.

In the digital health era, telemedicine has become a key driver of health care reform and innovation globally. Understanding the factors influencing residents' choices of telemedicine services is crucial for optimizing service design, enhancing user experience, and developing effective policy measures. This study aims to explore the key factors influencing Chinese residents' choices of telemedicine services, including consultation fee, physician qualifications, appointment waiting time, scope of services, privacy protection, and service hours. The study also analyzes preference heterogeneity among residents with different demographic characteristics to provide scientific evidence for optimizing telemedicine services in the digital health era. This study used a mixed methods design combining qualitative interviews and a discrete choice experiment. Interviews identified key telemedicine attributes, informing the discrete choice experiment scenarios. Preferences and willingness to pay were analyzed using mixed logit and latent class models. Residents' preferences for telemedicine services were primarily shaped by the scope of services, appointment waiting time, and privacy protection, with substantial willingness to pay for more comprehensive, secure, and timely services. The optimal telemedicine services configuration-offering consultation plus prescription, high privacy, immediate access, 24-hour availability, and expert physicians-yielded a maximum willingness to pay of RMB 661.6 (a currency exchange rate of US $1=RMB 7.1803 is applicable). Latent class analysis revealed pronounced heterogeneity: while privacy and service scope remained universally prioritized, older, male, rural, and less-educated residents favored broader coverage, easier platforms, and lower costs; younger, female, and highly educated groups preferred faster, higher-quality, and more privacy-sensitive services. This study reveals key drivers and significant demographic heterogeneity in Chinese residents' preferences for telemedicine services. Residents demonstrated a high willingness to pay for comprehensive services (eg, \"consultation + prescription\"), enhanced privacy protection, and shorter appointment waiting times. Additionally, the study innovatively identified 3 distinct resident profiles: \"Diverse-Service-Oriented,\" \"Utility-Oriented,\" and \"Value-Oriented,\" and proposed differentiated optimization strategies to effectively address diverse resident needs, thereby promoting equitable access and efficient adoption of telemedicine services.

Wide-bandgap mixed-halide perovskite photovoltaic modules show strong potential for portable chargers, building-integrated photovoltaics, agrivoltaics, and tandem systems, but large-area processing exacerbates crystallization heterogeneity, surface defects, and halide phase segregation. Conventional spin-coating passivation fails to deliver uniform interfacial control at scale. Here, an industrially inspired solution-soaking quenching technique is introduced, in which hot blade-coated wide-bandgap perovskite films ( ~ 30 cm 2 ) are immersed in cold SrI 2 /isopropanol. It enables rapid surface reconstruction and uniform surface passivation, enhances photoluminescence uniformity, improves crystallinity, reduces roughness, and stabilizes halides via gradient Sr 2+ incorporation. These effects mitigate tensile stress, optimize energy-level alignment, and suppress light-induced phase separation. Methylammonium-free wide-bandgap small-area (0.04 cm 2 ) devices achieve efficiencies up to 22.03%, while a 10.13 cm 2 module delivers 20.32% efficiency with excellent operational stability. The method is versatile across wide-bandgap perovskite compositions and enables practical applications including portable chargers, semitransparent modules (18.41% bifacial equivalent efficiency), and >27% efficient all-perovskite tandem windows. Fang et al. report a scalable solution-soaking quenching technique to enable uniform passivation of large-area wide-bandgap perovskite films, resulting in 10.13 cm 2 solar modules with 20.32% efficiency, prolonged lifespan, and applications in tandem solar windows, transparent agrivoltaics, and portable power systems.

Autoimmune glial fibrillary acidic protein (GFAP) astrocytopathy is a treatable autoimmune disorder affecting the central nervous system. Despite extensive research, the exact etiology and pathogenesis of this condition remain unclear. In recent years, autoimmune encephalitis (AE) after viral encephalitis (VE) has gathered significant attention. Here, we present a case report of autoimmune GFAP astrocytopathy after VE in a 43-year-old Asian male with a history of oral and labial herpes. The patient presented with high-grade fever, headache, urinary retention, unresponsiveness, and apathy. Elevated levels of protein and GFAP-IgG were observed in the cerebrospinal fluid (CSF), and enhanced brain magnetic resonance imaging (MRI) revealed linear enhancement oriented radially to the ventricles. Treatment with intravenous immunoglobulin (IVIG) resulted in symptom relief, reduced lesion enhancement, and decreased protein levels. This case report highlights bimodal encephalitis with no discernible interval between VE and autoimmune GFAP astrocytopathy, which poses diagnostic challenges. Notably, autoimmune GFAP astrocytopathy is a novel form of autoimmune encephalitis, and its treatment lacks sufficient clinical experience. Intriguingly, our patient demonstrated sensitivity to IVIG, a treatment that differed from past reports. Therefore, further exploration of treatment strategies for this condition is warranted.

Background In the ischemic penumbra, necroptosis-induced inflammation exacerbates neurovascular unit (NVU) injury, though neuronal self-regulatory mechanisms are poorly understood. This study examined whether the PARK7–Nrf2 axis, a key antioxidant pathway, alleviates NLRP3-driven inflammation during necroptosis to protect the NVU. Methods This study integrated a rat middle cerebral artery occlusion/reperfusion (MCAO/R) model in vivo and an in vitro model of primary cortical neuronal necroptosis induced by oxygen-glucose deprivation/reoxygenation (OGD/R) combined with the pan-caspase inhibitor Q-VD-Oph. Lentivirus-mediated gene knockdown and overexpression, pharmacological interventions including specific inhibitors (Nec-1), activators (tBHQ), and the protein translation inhibitor CHX were employed. These were combined with molecular biology techniques such as Western blot, immunofluorescence, co-immunoprecipitation, and RT-qPCR to systematically dissect the role and regulatory mechanisms of PARK7. Results Hypoxia/reoxygenation injury robustly activated neuronal necroptosis, which subsequently triggered the assembly and activation of the NLRP3 inflammasome, leading to NVU disruption. Notably, PARK7 expression was significantly upregulated post-hypoxia/reoxygenation. Mechanistically, PARK7 directly enhanced Nrf2 activation through a dual mechanism: facilitating the dissociation of Nrf2 from Keap1 and promoting its nuclear translocation, while simultaneously stabilizing the Nrf2 protein and reducing its degradation. Activated Nrf2 subsequently upregulated the expression of downstream antioxidant proteins NQO1 and HO-1. This PARK7-Nrf2 signaling axis effectively suppressed the NLRP3 inflammasome and its associated inflammatory cascade. Consequently, PARK7 overexpression significantly alleviated NVU damage, reduced cerebral infarct volume, and improved neurological function, whereas PARK7 knockdown exacerbated these injuries. The detrimental effects caused by PARK7 deficiency were reversed by the Nrf2 activator tBHQ. Conclusion This study reveals that PARK7 activates the Nrf2/ARE pathway, via promoting Nrf2-Keap1 dissociation and stabilizing Nrf2, to inhibit necroptosis-driven NLRP3 inflammasome overactivation in the ischemic penumbra. This mechanism provides a novel regulatory pathway for inflammation and highlights the PARK7/Nrf2 axis as a therapeutic target to mitigate neurovascular unit injury, thereby extending the treatment window and enabling a combined recanalization-cytoprotection strategy with significant translational promise.

Objective Severe fever with thrombocytopenia (SFTS) is a fatal emerging infectious disease. Co-infection, mainly with bacterial and fungal infections, in association with poorer outcomes in SFTS, but few studies have examined on viral infections. We aimed to investigate the prevalence of Epstein‒Barr virus (EBV) infection and its effects on the clinical features and mortality in patients with SFTS. Methods We retrospectively reviewed 104 patients with confirmed SFTS between 2011 and 2025, and analyzed their laboratory test results and clinical data. Results Of 104 SFTS patients, 48.10% had EBV infection. Compared to those without EBV infection, these patients were more likely to have bacterial infection in blood ( p  = 0.027), lower white blood cell ( p  < 0.001) and neutrophil counts ( p  = 0.019), lower serum calcium ( p  = 0.043), and higher alanine aminotransferase ( p  = 0.013), adenosine deaminase ( p  = 0.018), and urinary protein ( p  = 0.005). Mortality rates were higher in EBV-infected patients (7 [14%] vs. 4 [7.4%], p  = 0.275), though not statistically significant. In this study, decreased WBC count and elevated ALT level were independently associated with EBV infection in SFTS patients (OR = 0.391 [95% CI, 0.233–0.657] and 1.006 [95% CI, 1.001–1.011], both p  < 0.05). Conclusions SFTS patients are at high risk for EBV infection. Those with EBV infection exhibit more severe clinical manifestations, although short-term survival does not differ significantly. Decreased WBC count and elevated ALT are risk factors for EBV infection in SFTS patients. The need for targeted treatment of EBV infection remains uncertain.

In recent years, Unmanned Aerial Vehicles (UAVs) have increasingly been deployed in various applications such as autonomous navigation, surveillance, and object detection. Traditional methods for UAV navigation and object detection have often relied on either handcrafted features or unimodal deep learning approaches. While these methods have seen some success, they frequently encounter limitations in dynamic environments, where robustness and computational efficiency become critical for real-time performance. Additionally, these methods often fail to effectively integrate multimodal inputs, which restricts their adaptability and generalization capabilities when facing complex and diverse scenarios. To address these challenges, we introduce NavBLIP, a novel visual-language model specifically designed to enhance UAV navigation and object detection by utilizing multimodal data. NavBLIP incorporates transfer learning techniques along with a Nuisance-Invariant Multimodal Feature Extraction (NIMFE) module. The NIMFE module plays a key role in disentangling relevant features from intricate visual and environmental inputs, allowing UAVs to swiftly adapt to new environments and improve object detection accuracy. Furthermore, NavBLIP employs a multimodal control strategy that dynamically selects context-specific features to optimize real-time performance, ensuring efficiency in high-stakes operations. Extensive experiments on benchmark datasets such as RefCOCO, CC12M, and Openlmages reveal that NavBLIP outperforms existing state-of-the-art models in terms of accuracy, recall, and computational efficiency. Additionally, our ablation study emphasizes the significance of the NIMFE and transfer learning components in boosting the model's performance, underscoring NavBLIP's potential for real-time UAV applications where adaptability and computational efficiency are paramount.

Halide perovskite solar cells (PSCs) exhibit remarkable potential for addressing global energy challenges due to their exceptional photovoltaic properties and cost-effectiveness. However, their widespread adoption is hindered by the presence of toxic lead in the perovskite materials, posing risks to both human health and the environment. This review comprehensively examines the environmental safety concerns associated with PSCs, focusing on the toxicity of lead and its potential for leakage during device operation and end-of-life disposal. Strategies to mitigate lead leakage are explored, including advanced external encapsulation methods, internal lead immobilization techniques, and innovative recycling approaches. These strategies are evaluated based on their effectiveness, feasibility, and potential challenges, highlighting the need for a multi-pronged approach to ensure the responsible and sustainable development of PSC technology. By addressing the toxicity issue and implementing robust prevention and recycling strategies, PSCs can become a driving force for the global transition towards clean and renewable energy while minimizing environmental and health risks.