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Postoperative cognitive dysfunction (POCD) is a prevalent clinical entity following surgery and is characterized by declined neurocognitive function. Neuroinflammation mediated by microglia is the essential mechanism of POCD. Anesthetics are thought to be a major contributor to the development of POCD, as they promote microglial activation and induce neuroinflammation. However, this claim remains controversial. Anesthetics can exert both anti- and pro-inflammatory effects by modulating microglial activation, suggesting that anesthetics may play dual roles in the pathogenesis of POCD. Here, we review the mechanisms by which the commonly used anesthetics regulate microglial activation via inflammatory signaling pathways, showing both anti- and pro-inflammatory properties of anesthetics, and indicating how perioperative administration of anesthetics might either relieve or worsen POCD development. The potential for anesthetics to enhance cognitive performance based on their anti-inflammatory properties is further discussed, emphasizing that the beneficial effects of anesthetics vary depending on dose, exposure time, and patients’ characteristics. To minimize the incidence of POCD, we recommend considering these factors to select appropriate anesthetics.

Cultivating intercultural competence is a long-term and staged process requiring the efforts of all counterparts in the education field from primary school up to university. Currently, most research on intercultural education in China focuses on the tertiary education context, and little attention has been paid to elementary education as well as primary school EFL teachers. Against this background, this study intends to investigate Chinese primary school EFL teachers’ preparedness for intercultural foreign language teaching (IFLT), its influencing factors, and the support teachers need to implement IFLT. A convergent mixed method was used in this study. Data was collected through questionnaires and interviews, SPSS and the thematic analysis method were used to analyze the data. Via both quantitative and qualitative methods, this empirical study found that: 1. Primary school EFL teachers are not well prepared for IFLT; 2. Textbooks, the current evaluation system, teachers’ lack of literacy in intercultural competence, insufficient teacher training on intercultural competence, and teachers’ lack of time and energy are five major factors that constrain the implementation of IFLT; 3. Support from school administration, the construction of intercultural-related materials and resources, and practice-oriented teacher training are the three main support teachers need. Based on these findings, the role of textbooks, experience abroad and general materials on culture in promoting IFLT were discussed. At last, implications and future research directions were proposed.

Hyperspectral image (HSI) classification has recently been successfully explored by using deep learning (DL) methods. However, DL models rely heavily on a large number of labeled samples, which are laborious to obtain. Therefore, finding a way to efficiently embed DL models in limited labeled samples is a hot topic in the field of HSI classification. In this paper, an active learning-based siamese network (ALSN) is proposed to solve the limited labeled samples problem in HSI classification. First, we designed a dual learning-based siamese network (DLSN), which consists of a contrastive learning module and a classification module. Secondly, in view of the problem that active learning is difficult to effectively sample under the extremely limited labeling cost, we proposed an adversarial uncertainty-based active learning (AUAL) method to query valuable samples, and to promote DLSN to learn a more complete feature distribution by fine-tuning. Finally, an active learning architecture, based on inter-class uncertainty (ICUAL), is proposed to construct a lightweight sample pair training set, fully extracting the inter-class information of sample pairs and improving classification accuracy. Experiments on three generic HSI datasets strongly demonstrated the effectiveness of ALSN for HSI classification, with performance improvements over other related DL methods.

The pattern of bounding box representation and regression has long been dominant in CNN-based pedestrian detectors. Despite the method’s success, it cannot accurately represent location, and introduces unnecessary background information, while pedestrian features are mainly located in axis-line areas. Other object representations, such as corner-pairs, are not easy to obtain by regression because the corners are far from the axis-line and are greatly affected by background features. In this paper, we propose a novel detection pattern, named Axis-line Representation and Regression (ALR), for pedestrian detection in road scenes. Specifically, we design a 3-d axis-line representation for pedestrians and use it as the regression target during network training. A line-box transformation method is also proposed to fit the widely used box-annotations. Meanwhile, we explore the influence of deformable convolution base-offset on detection performance and propose a base-offset initialization strategy to further promote the gain brought by ALR. Notably, the proposed ALR pattern can be introduced into both anchor-based and anchor-free frameworks. We validate the effectiveness of ALR on the Caltech-USA and CityPersons datasets. Experimental results show that our approach outperforms the baseline significantly through simple modifications and achieves competitive accuracy with other methods without bells and whistles.

Solar-driven interfacial evaporation has shown great potential in freshwater production due to its minimal carbon footprint and adaptability to diverse water sources. However, while significant progress has been made in enhancing vapor generation rates, limited heat dissipation during condensation continues to constrain overall water production efficiency. Here, we introduce a latent heat-assisted evaporative cooling (LHEC) strategy that effectively dissipates condensation heat by harnessing water’s latent heat. Using delignified wood as the demonstrating LHEC substrate, we achieved a 2.5-fold increase in heat dissipating heat flux and accelerated vapor diffusion from the evaporation region toward the condensation interface. This approach improves solar water production efficiency to 0.76 (versus 0.49 in conventional systems) and demonstrates robust salt resistance for long-term operation. Notably, the plug-and-play design of the LHEC substrate enables seamless integration into a range of solar evaporation architectures, including single/multi-stage systems, all of which benefit from its enhanced condensation performance. This universality offers a fully passive, single solar-powered solution. This LHEC strategy represents a significant step forward in scalable, efficient and environmentally sustainable freshwater production. Heat dissipation restricts freshwater production in solar interfacial evaporation. Authors propose a latent heat-assisted evaporative cooling strategy to enhance heat dissipation and vapor transport during condensation, boosting freshwater production.

The screening of non-small cell lung cancer (NSCLC) tumors for anaplastic lymphoma receptor tyrosine kinase (ALK) gene rearrangements is important because of the dramatically favorable therapy response to ALK inhibitor. However, the exact mechanism of poor survival in ALK fusion lung cancer patients without receiving targeted therapy is unclear. In this study, total of 521 tumor specimens from Chinese patients with lung cancer were screened for ALK fusion by immunohistochemistry (IHC) and confirmed by fluorescence in situ hybridization (FISH). As results, there were no cases of coexisting EGFR and ALK mutations identified. Fourteen cases (2.7%) harbored ALK fusion, including eight solid adenocarcinomas with signet ring cell features, four acinar adenocarcinomas with cribriform pattern containing mucin, one adenosquamous carcinoma and one micropapillary adenocarcinoma with mucin. Six (42.9%) of fourteen patients with ALK-positive lung cancer had stage IV disease, and five ALK-positive patients treated with platinum-based chemotherapy had poor outcome (all patients were dead and the mean survival time was 12 months), compared to 72 months for patients with ALK inhibitor therapy. Furthermore, Five ALK-positive cases were analyzed by whole exome sequencing (WES) and via direct transcript counting using a digital probe-base (NanoString) to explore the driver genes. Deregulation of PI3K/AKT signaling pathway in ALK-positive lung cancer was demonstrated by WES analysis, and significantly increased mRNA of ALK, ROS1, MET, SPP1 and PI3K signaling pathway was identified by NanoString assay. The concordance between NanoString, IHC and FISH methodologies for detecting ALK fusion was 100%. Significant overexpression of SPP1 protein in ALK-positive lung cancer was confirmed by IHC compared to paired adjacent normal tissues and ALK-negative cancers. Thus we concluded that SPP1 overexpression is associated with poor outcomes for patients with ALK fusion lung cancer without receiving targeted therapy and PI3K/AKT/SPP1 pathway may become the promising targets in patients with aggressive lung cancer.

Rapid urbanization has exacerbated the urban heat island effect, posing a significant threat to human health and urban ecosystems. While numerous studies have demonstrated that urban morphology significantly influences land surface temperatures (LSTs), few have systematically explored the impact and contribution of urban morphology on LST across different functional zones. Therefore, this study takes Xi’an as a case and employs an interpretable CatBoost-SHAP machine learning model to evaluate the nonlinear influence of building landscape features on LST in different functional zones during summer. The results indicate the following: (1) The highest LST in the study area reached 52.68 °C, while the lowest was 21.68 °C. High-temperature areas were predominantly concentrated in the urban center and industrial zones with dense buildings, whereas areas around water bodies and green spaces exhibited relatively lower temperatures. (2) SHAP analysis revealed that landscape indicators exerted the most substantial impact across all functional zones, with green space zones contributing up to 62%. Among these, fractional vegetation coverage (FVC), as a core landscape factor, served as the primary cooling factor in all six functional zones and consistently demonstrated a negative effect. (3) Population density (POP) exhibited a generally high SHAP contribution across all functional zones, showing a positive correlation. Its effect was most pronounced in commercial zones, accounting for 16%. When POP ranged between 0 and 250 people, the warming effect was particularly prominent. (4) The mean building height (MBH) constituted a major influencing factor in most functional zones, especially in residential zones, where the SHAP value reached 0.7643. Within the range of 10–20 m, the SHAP value increased sharply, indicating a significant warming effect. (5) This study proposes targeted cooling strategies tailored to six functional zones, providing a scientific basis for formulating targeted mitigation strategies for different functional zones to alleviate the urban heat island effect.

The Kinesin superfamily members are ATP-dependent microtubule-based motor proteins that are conserved among all eukaryotic organisms and play vital roles in diverse cellular processes, such as vesicle trafficking, mitosis and meiosis, and cytoskeletal dynamics. Here, OsKIF14.3, a kinesin-14 subfamily protein, was map-based cloned and functionally analyzed. The gene exhibited a constitutive expression pattern. OsKIF14.3 protein localized on the microtubule and formed homodimer via the conserved Coiled Coil 1 (CC1) domain. Mutation of altered OsSWEET11's subcellular location from the plasma membrane into both the plasma membrane and the cytoplasm, leading to abnormal starch metabolism, excess starch accumulation in the chloroplast, broken stroma lamella and yellowish leaves in mutant. These results enriched our understanding of the kinesin superfamily and leaf color regulation mechanism.

ObjectivesThe production of riboflavin with Bacillus subtilis, is an established process, however it is yet to be fully optimized. The aim of this study was to explore how riboflavin yields can be improved via in vitro and in vivo metabolic engineering modification of the pentose phosphate pathway (PPP).ResultsIn vitro, glucose was replaced with sodium gluconate to enhance PPP. Flask tests showed that the riboflavin titer increased from 0.64 to 0.87 g/L. The results revealed that the direct use of sodium gluconate could benefit riboflavin production. In vivo, gntP (encoding gluconate permease) was overexpressed to improve sodium gluconate uptake. The riboflavin titer reached 1.00 g/L with the mutant B. subtilis RF01. Ultimately, the fermentation verification of the engineered strain was carried out in a 7-L fermenter, with the increased riboflavin titer validating this approach.ConclusionsThe combination of metabolic engineering modifications in vitro and in vivo was confirmed to promote riboflavin production efficiently by increasing PPP and has great potential for industrial application.Graphic abstractThis work is aimed to explore how to improve the riboflavin yield by the rational renovation of the pentose phosphate pathway (PPP). In vitro, metabolic engineering mainly uses sodium gluconate as a carbon source instead of glucose, and in vivo, metabolic engineering mainly includes the overexpression of sodium gluconate utility-related genes. The effect of sodium gluconate on cell growth, riboflavin production was investigated in the flasks and fermenter scale.

The application of chemotherapy drugs in tumor treatment has a long history, but the lack of selectivity of drugs often leads to serious side effects during chemotherapy. The natural anti-tumor ingredients derived from Chinese herbal medicine are attracting increased attention due to their diverse anti-tumor effects, abundant resources, and minimal side effects. An effective anti-tumor strategy may lie in the combination of these naturally derived anti-tumor ingredients with conventional chemotherapy drugs. This approach could potentially inhibit tumor growth and the development of drug resistance in tumor cells while reducing the adverse effects of chemotherapy drugs. This review provides a comprehensive overview of the combined therapy strategies integrating natural anti-tumor components from Chinese herbal medicine with chemotherapy drugs in current research. We primarily summarize various compounds in Chinese herbal medicine exhibiting natural anti-tumor activities and the relevant mechanisms in synergistic anti-tumor combination therapy. The focus of this paper is on underlining that this integrative approach, combining natural anti-tumor components of Chinese herbal medicine with chemotherapy drugs, presents a novel cancer treatment methodology, thereby providing new insights for future oncological research.