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In the face of external shocks from urbanization and the inherent needs of economic development, it is essential for urban and rural heritage to adapt timely to achieve sustainability in development. Employing Historic Urban Landscape (HUL) methodologies for change management holds significant implications for the sustainable preservation and utilization of heritage. This study used Dongxi Ancient Town as a case study, characterized by a distinct evolutionary trajectory and diverse layers of accumulation throughout its historical progression, making it an exemplary instance for change analysis. This paper analyzed the processes and outcomes of historic urban landscape changes through a layered historical approach. Combining historical data translation methods with ArcGIS spatial analysis, we documented and mapped the cultural and natural characteristics of Dongxi Ancient Town. The layered process of the town’s historical landscape was categorized into four stages: the primary formative period from the Western Han to the Ming dynasties, the rapid development during the Qing dynasty, the prosperous period of the Republic of China, and the transitional expansion period following the establishment of the People’s Republic of China. The study analyzed the morphological changes and values of the historical landscape throughout these periods. Based on the analysis results, we suggest three transformation management strategies for historical landscapes oriented towards economic development: (1) converting cultural heritage into cultural assets, (2) implementing moderate and controlled quantitative changes, and (3) enhancing operational feasibility through collaborative efforts among multiple stakeholders. These strategies aim to establish a sustainable model that balances heritage conservation with economic growth.

Visitor center plays an important role in the normal operation and sustainable development of scenic spots, especially as a portal image of its management. This paper presents resilience theory for visitor centers to identify some common issues in designing visitor centers in China scenic spots, including the lack of function, loss of architectural characteristics, and difficultly in adapting to changes in the number of visitors with periodic variations. The framework of resilience theory was set from four dimensions, namely, resilience and match in the composition of ontology function, the extended function, integration of buildings into the surrounding environment, and alternative construction technologies and materials. This theory was explained and analyzed with the application of the theory in practice in combination with the design of Mount Hua visitor center. Results showed that resilience theory yields good application effect.

The charge transfer between two layers of different two-dimensional materials occurs at a much faster speed than expected, holding promise for efficient optoelectronic devices. Van der Waals heterostructures have recently emerged as a new class of materials, where quantum coupling between stacked atomically thin two-dimensional layers, including graphene, hexagonal-boron nitride and transition-metal dichalcogenides (MX 2 ), give rise to fascinating new phenomena 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 , 10 . MX 2 heterostructures are particularly exciting for novel optoelectronic and photovoltaic applications, because two-dimensional MX 2 monolayers can have an optical bandgap in the near-infrared to visible spectral range and exhibit extremely strong light–matter interactions 2 , 3 , 11 . Theory predicts that many stacked MX 2 heterostructures form type II semiconductor heterojunctions that facilitate efficient electron–hole separation for light detection and harvesting 12 , 13 , 14 , 15 , 16 . Here, we report the first experimental observation of ultrafast charge transfer in photoexcited MoS 2 /WS 2 heterostructures using both photoluminescence mapping and femtosecond pump–probe spectroscopy. We show that hole transfer from the MoS 2 layer to the WS 2 layer takes place within 50 fs after optical excitation, a remarkable rate for van der Waals coupled two-dimensional layers. Such ultrafast charge transfer in van der Waals heterostructures can enable novel two-dimensional devices for optoelectronics and light harvesting.

Understanding thermal transport across metal/semiconductor interfaces is crucial for the heat dissipation of electronics. The dominant heat carriers in non-metals, phonons, are thought to transport elastically across most interfaces, except for a few extreme cases where the two materials that formed the interface are highly dissimilar with a large difference in Debye temperature. In this work, we show that even for two materials with similar Debye temperatures (Al/Si, Al/GaN), a substantial portion of phonons will transport inelastically across their interfaces at high temperatures, significantly enhancing interface thermal conductance. Moreover, we find that interface sharpness strongly affects phonon transport process. For atomically sharp interfaces, phonons are allowed to transport inelastically and interface thermal conductance linearly increases at high temperatures. With a diffuse interface, inelastic phonon transport diminishes. Our results provide new insights on phonon transport across interfaces and open up opportunities for engineering interface thermal conductance specifically for materials of relevance to microelectronics. Phonons are thought to transport elastically across most interfaces. Here, the authors show that a substantial portion of phonons transport inelastically, adding another heat conduction channel and enhancing thermal conductance across interfaces.

Pure organic phosphors capable of room-temperature phosphorescence show a great potential in organic light-emitting diodes, while it is limited by the big challenge to realize efficient electroluminescence under electric excitation. Herein, we develop a class of organic phosphors based on acridine as the electron donor, triazine as the electron acceptor and oxygen as the bridge between them. Benefitting from the characteristic donor-oxygen-acceptor geometry, these compounds are found to behave an exciting aggregation-induced organic room-temperature electrophosphorescence, and achieve a record-high external quantum efficiency of 15.8% for non-doped devices. Furthermore, they can sensitize multi-resonant emitters in the absence of any additional wide bandgap host, leading to an effective narrowband emission with a peak external quantum efficiency of 26.4% and a small full-width at half maximum of 26 nm. The results clearly indicate that donor-oxygen-acceptor geometry is a promising strategy to design organic phosphors suitable for organic light-emitting diodes. Pure organic room-temperature phosphorescencent materials draw much attention but realising electroluminescence under electric excitation is challenging. Here the authors propose a donor-oxygen-acceptor molecular design realizing aggregation-induced organic room-temperature electrophosphorescence with high external quantum efficiency.

Brain microvascular endothelial cells (BMECs) form the blood-brain barrier (BBB), a highly selective interface that restricts paracellular diffusion and regulates the transport of nutrients and drugs into the central nervous system via specialized transporters and receptors. Tight junction-associated protein 1 (Tjap1), also termed protein incorporated later into tight junctions (Pilt), has been localized to tight junctions (TJs) in epithelial cells and to the trans-Golgi network in fibroblasts; however, its expression, subcellular localization, and functional significance in BMECs are still unknown. We characterized Tjap1 subcellular localization in mouse and human BMEC cell lines as well as primary mouse BMECs by immunofluorescence with and without pharmacological Golgi disruption by treatment with Brefeldin A, Golgicide A or Pitstop 2. CRISPR/Cas9-mediated Tjap1 knockout cells were generated and examined with regard to their Golgi morphology using immunostaining. Tjap1 mRNA localization was examined by RNAscope in situ hybridization. Quantitative real-time PCR and Western blot was performed to assess the expression of BBB-associated efflux transporters, solute carrier transporters, and cellular receptors in control and Tjap1 knockout cells. Tjap1 predominantly localized to the cis-Golgi compartment, co-localizing with Gm130 rather than Tgn38, and was absent from TJs in BMECs. Tjap1 knockout induced pronounced Golgi fragmentation BMECs. Importantly, Tjap1 knockout significantly downregulated mRNA-expression of Abcb1a, Abcb1b, Abcc4, Slc2a1, Slc7a1, Slc7a5 and Tfrc, while Abcg2 was upregulated. At the protein level, a decrease in the protein levels of Abcb1, Abcc4, Slc2a1, Slc7a1, and Tfrc was observed in Tjap1 knockout cEND cells. In BMECs, Tjap1 is a cis-Golgi-associated protein required for the structural integrity of the Golgi apparatus. Its deletion is associated with Golgi fragmentation and significant alterations in the mRNA and protein expression of drug transporters and receptors at the BBB. These findings identify Tjap1 as a candidate regulator of both Golgi architecture and the BBB transporter profile in vitro, with potential implications for modulating drug transport across the BBB.

Study design This study was a retrospective review. Objective To study the predictive effect of Hounsfield units (HU) value in the cervical vertebral body derived from computed tomography (CT) on the early titanium mesh cage (TMC) subsidence after anterior cervical corpectomy and fusion (ACCF). Methods This retrospective study was conducted on patients who underwent ACCF at one institution between January 2014 and December 2018. We collected date included age, gender, body mass index (BMI), disease type, surgical segment, whether merge ACDF, HU value of the vertebral body and endplate, vertebral body height loss, cervical lordosis angle, and cervical sagittal alignment. VAS, JOA, and NDI were used to assess clinical efficacy. Univariate analysis was performed to screen the influencing factors of TMC subsidence, and then logistic regression was used to find out the independent risk factors. The ROC curve and area under curve (AUC) were used to analyze the HU value to predict the TMC subsidence. Results A total of 85 patients who accepted ACCF were included in this study, and early titanium mesh cage subsidence was demonstrated in 29 patients. The subsidence rate was 34.1%. The JOA, VAS, and NDI scores significantly improved in both groups after the operation. Between the subsidence and non-subsidence groups, there were significant differences in age, intervertebral distraction height, and HU value in both upper and lower vertebral body and endplate. The logistic regression analysis proved that the HU value of the lower vertebral body was an independent risk of TMC subsidence, the AUC was 0.866, and the most appropriate threshold of the HU value was 275 (sensitivity: 87.5%, specificity: 79.3%). Conclusion Preoperative cervical CT value is an independent correlative factor for early TMC subsidence after ACCF, and patients with a low CT value of the inferior vertebral body of the operative segment have a higher risk of TMC subsidence in the early postoperative period. Trial registration : This study is undergoing retrospective registration.

Dietary antioxidants and phytochemicals are believed to support cognitive health, but evidence on composite dietary indices remains limited. This cross-sectional study of 1845 community-dwelling older adults in China investigated the associations of the composite dietary antioxidant index (CDAI) and dietary phytochemical index (DPI) with cognitive function and mild cognitive impairment (MCI). Cognitive function was assessed using the Montreal Cognitive Assessment (MoCA; Beijing version). MCI was diagnosed through a two-stage procedure: MoCA-based preliminary screening (with education-stratified cutoffs: 13/14 for illiterate, 19/20 for 1–6 years, 24/25 for ≥7 years) followed by neurologist confirmation. CDAI was calculated as the sum of the standardized intakes of six antioxidants (selenium, zinc, carotenoids, vitamin A, vitamin C, vitamin E); DPI was defined as the percentage of the total energy intake from phytochemical-rich foods (fruits, vegetables excluding potatoes, legumes including soy products, nuts, seeds, and whole grains). Multivariable linear regression, logistic regression, and receiver operating characteristic (ROC) curve analyses were performed. The basal metabolic rate (BMR) and systemic immune-inflammation index (SII; platelets × neutrophils/lymphocytes) were tested as potential statistical mediators. Each one-unit increase in CDAI was associated with a 0.068-point higher MoCA score (95% CI: 0.012–0.123), and each one-unit increase in DPI was associated with a 0.029-point higher MoCA score (95% CI: 0.008–0.050). BMR and SII partially mediated the association between CDAI and MoCA score, but temporal ordering remains unclear due to the cross-sectional design. When both CDAI and DPI were in the highest quartile, participants had a 46.3% lower risk of MCI compared with those with both indices in the lowest quartile (OR = 0.537, 95% CI: 0.308–0.935). A predictive model incorporating CDAI, inflammatory markers, and red blood cell parameters showed moderate discriminatory ability in this study sample (apparent AUC = 0.731, bootstrap-corrected AUC = 0.728). These findings suggest that a higher combined dietary antioxidant and phytochemical intake may be jointly associated with better cognitive function, although the cross-sectional design precludes causal inference.

Pyroptosis is a novel type of programmed cell death, initiated by inflammasome. Pyroptosis inhibits the development and metastasis of colon cancer and is associated with patients’ prognosis. However, how the pyroptosis-related genes predict the survival of patients is still unclear. In the study, colon adenocarcinoma (COAD) patients were divided into two groups according to the expression of pyroptosis-related regulators through consensus clustering. DEGs between two clusters were analyzed by using COX and Lasso regression. Then, regression coefficients in Lasso were used to calculate the risk score for every patient. Patients were classified into two types: low- and high-risk group according to their risk score. The difference of immune microenvironment infiltration and clinicopathological characteristics between subgroups was performed. Moreover, the nomogram model was built on the bases of risk model and clinicopathological factors. The TCGA-COAD cohort and GEO cohort were used as training and validating set respectively. 398 COAD patients in TCGA training set were identified as two regulation patterns via unsupervised clustering method. Patients in cluster 2 showed better prognosis ( P  = 0.002). Through differentiated expression analysis, COX and Lasso regression, a 5-gene prognostic risk model was constructed. This risk model was significantly associated with OS (HR: 2.088, 95% CI: 1.183–3.688, P  = 0.011), validated in GEO set (HR:1.344, 95%CI: 1.061–1.704, P  = 0.014), and patients with low risk had better prognosis ( P  < 0.001 in TCGA; P  = 0.038 in GEO). Through ROC analysis, it can be found that this model presented better predictive accuracy for long-term survival. Clinical analyses demonstrated that high-risk group had more advanced N stage, higher risk of metastasis and later pathological stage. Immune-related analysis illustrated that low-risk group had more immune cell infiltration and more activated immune pathways. The pyroptosis-related risk model can be predictive for the survival of COAD patients. That patients with higher risk had poorer prognosis was associated with more advanced tumor stage and higher risk of metastasis, and resulted from highly activated pro-tumor pathways and inhibited immune system and poorer integrity of intestinal epithelial. This study proved the relationship between pyroptosis and immune, which offered basis for future studies.

Mycotoxin contamination of grains during storage and transportation represents a significant threat to global food security. Conventional detection methods exhibit limitations in terms of real-time monitoring. This study presents a compact smart gas sensing system for mycotoxins, facilitating non-destructive testing of corn infected with fungi by analyzing the volatile organic compounds (VOCs) emitted during fungal growth. It also facilitates the precise quantitative detection of Aflatoxin B1 (AFB1). Additionally, a dual-branch convolutional neural network (DB-CNN) model has been developed to conduct an in-depth analysis of the temporal and spatial characteristics of VOCs signals. The system achieves 100% accuracy in identifying grains (corn, peanuts, wheat, and rice) infected with Fusarium graminearum and Aspergillus flavus by extracting the characteristic fingerprint spectra of fungal VOCs. In the quantitative analysis, the DB-CNN exhibits good performance (RMSE = 1.0292 μg/kg, R2 = 0.9994). In addition, the designed detection system supports wireless transmission and can be connected to a smartphone for data transfer, thereby facilitating data storage and remote monitoring. The entire detection process is completed within 4 min. This study provides an innovative technical foundation for dynamic real-time monitoring of fungal contamination in the food supply chain, contributing to early warning systems and quality control measures.