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Microbial biofilms are communities of aggregated microbial cells embedded in a self-produced matrix of extracellular polymeric substances (EPS). Biofilms are recalcitrant to extreme environments, and can protect microorganisms from ultraviolet (UV) radiation, extreme temperature, extreme pH, high salinity, high pressure, poor nutrients, antibiotics, etc., by acting as “protective clothing”. In recent years, research works on biofilms have been mainly focused on biofilm-associated infections and strategies for combating microbial biofilms. In this review, we focus instead on the contemporary perspectives of biofilm formation in extreme environments, and describe the fundamental roles of biofilm in protecting microbial exposure to extreme environmental stresses and the regulatory factors involved in biofilm formation. Understanding the mechanisms of biofilm formation in extreme environments is essential for the employment of beneficial microorganisms and prevention of harmful microorganisms.

Radiation colitis is the leading cause of diarrhea and hematochezia in pelvic radiotherapy patients. This work advances the pathogenesis of radiation colitis from the perspective of ferroptosis. An oral Pickering emulsion is stabilized with halloysite clay nanotubes to alleviate radiation colitis by inhibiting ferroptosis. Ceria nanozyme grown in situ on nanotubes can scavenge reactive oxygen species, and deferiprone was loaded into the lumen of nanotubes to relieve iron stress. These two strategies effectively inhibit lipid peroxidation and rescue ferroptosis in the intestinal microenvironment. The clay nanotubes play a critical role as either a medicine to alleviate colitis, a nanocarrier that targets the inflamed colon by electrostatic adsorption, or an interfacial stabilizer for emulsions. This ferroptosis-based strategy was effective in vitro and in vivo, providing a prospective candidate for radiotherapy protection via rational regulation of specific oxidative stress. Radiation colitis is a major side effect for pelvic radiotherapy patients, but there are limited available treatments. Here, the authors use a halloysite clay based material for the alleviation of radiation colitis in mice by inhibiting ferroptosis.

In recent years, intercultural communication education is occurring frequently in Chinese English textbooks. However, there is a lack of study on how these textbooks present the knowledge of intercultural communication and competence. To fill this gap, this article proposes to conduct a qualitative analysis of one English textbook (College English Intercultural Communication Course) published in mainland China. With Derrida’s deconstructive thinking, the topics, characters, contents, exercises and point of view provided by the textbook are evaluated via discourse analysis. Based on the deconstructive reading of the textbook, two cultural problems are found: (1) western-centric ideas; (2) essentialism and othering. There is an internal conflict between the deconstructive method of presenting intercultural communication and competence claimed by the textbook and an inner-circle unitary cultural center it actually constructs.

Sponge City Public Private Partnership (PPP) project is a significant step to promote the construction of resilient city and sustainable development. Private companies take advantage of information asymmetry and regulatory loopholes to take opportunistic behavior, which affects the project delivery quality and public interests. In order to reveal the decision-making mechanism of the main stakeholders, this paper constructs an evolutionary game model of private companies, citizens and the government from a fresh perspective of perceived value. First, the traditional payoff matrix is modified by combining Prospect Theory and Mental Accounting. Next, this paper analyzes the strategic evolution law and stability conditions of game players by replicated dynamic equation. Finally, Nanganqu project is used for empirical simulation to verify the effectiveness of this model. Results indicate that, (1) due to the complexity of the project and the bounded rationality of the participants, there is no evolutionary stable strategy in this game system. (2) The behavioral decision of participants is affected by perceived incomes and perceived costs. (3) Government punishment and reputation loss can effectively curb the opportunistic behavior. All above studies are expected to improve the management of Sponge City PPP projects, providing theoretical guidance for the government to make scientific decisions.

Background. Hepatocellular carcinoma (HCC) cell-derived exosomes have shown effects on inducing M2 macrophage polarization and promoting HCC progression. MiR-452-5p was reported by recent studies to promote malignancy progression as an exosomal microRNA that secreted by HCC cells, of which the underlying mechanism remains unclear. Here, we further explored how miR-452-5p functions in HCC. Methods. MiR-452-5p expressions in HCC cells was examined by in situ hybridization. Next, HCC cell lines were transfected with the mimics or the inhibitor of miR-452-5p. Transfected cells’ biological behavior were analyzed by CCK-8, flow cytometry, and Transwell assay. Then, exosomes were purified from miR-452-5p inhibited or overexpressed HCC cells and cocultured with macrophages to examine the role of miR-452-5p in macrophage polarization. To examine the role of exosomal miR-452-5p on macrophage polarization and tumor growth. We also performed the dual-luciferase assay to explore the targeting relationship between miR-452-5p and TIMP3. Results. The upregulation of miR-452-5p was identified in HCC. The effects of HCC cell-derived exosomes on accelerating HCC migration and invasion and inducing M2 macrophage polarization were confirmed, which were further enhanced after overexpressing miR-452-5p but neutralized after silencing miR-452-5p. In addition, in vivo experiments demonstrated the effect of miR-452-5p on accelerating HCC growth and metastasis. Also, we identified that TIMP3 overexpression inhibited the promoted cell invasion and migration by HCC cell-derived exosomes. Conclusion. Exosomal miR-452-5p secreted from HCC cells could induce polarization of M2 macrophage and therefore stimulating HCC progression by targeting TIMP3. Thus, miR-452-5p might be a potential biomarker for HCC prognosis.

Improving carbon emissions performance in Chinese cities is a crucial way to promote China’s sustainable development. Employing the super-efficiency SBM model, we first estimate the carbon emissions efficiency (CEE) of 262 Chinese cities from 2003 to 2016. Then we study and explain the club convergence of CEE combining Markov and spatial Markov models and Moran’s I test method. The results show that CEE has improved, especially for the western and northeastern cities. The efficiency of the northwest cities is low, while those of the central and coastal cities are relatively high. Club convergence exists in China’s urban CEE. Cities with high- and low-level efficiency have much higher convergence levels. There are significant spatial agglomeration and spillover effects in China’s urban CEE, contributing to the club convergence. Our analysis suggests that “cross-border” cooperation and communication between cities in different clubs should be highly promoted. Cities in high-level efficiency clubs are encouraged to play its role in radiating the lower-level cities. And the Chinese government is encouraged to strengthen carbon emissions mitigation in low-level areas through combining the green “Belt and Road” construction with the establishment of a national carbon market.

Using multi-color visible lights for independent optogenetic manipulation of multiple neuronal populations offers the ability for sophisticated brain functions and behavior dissection. To mitigate invasive fiber insertion, infrared light excitable upconversion nanoparticles (UCNPs) with deep tissue penetration have been implemented in optogenetics. However, due to the chromatic crosstalk induced by the multiple emission peaks, conventional UCNPs or their mixture cannot independently activate multiple targeted neuronal populations. Here, we report NIR multi-color optogenetics by the well-designed trichromatic UCNPs with excitation-specific luminescence. The blue, green and red color emissions can be separately tuned by switching excitation wavelength to match respective spectral profiles of optogenetic proteins ChR2, C1V1 and ChrimsonR, which enables selective activation of three distinct neuronal populations. Such stimulation with tunable intensity can not only activate distinct neuronal populations selectively, but also achieve transcranial selective modulation of the motion behavior of awake-mice, which opens up a possibility of multi-color upconversion optogenetics. Conventional upconversion nanoparticles (UCNPs) cannot activate multiple neuron populations independently using optogenetics. Here the authors report trichromatic UCNPs with excitation-specific luminescence to allow activation of three distinct neuronal populations in the brain of awake mice.

Because of the counterintuitive imaging and confusing interpretation dilemma in Synthetic Aperture Radar (SAR) images, the application of deep learning in the detection of SAR targets has been primarily limited to large objects in simple backgrounds, such as ships and airplanes, with much less popularity in detecting SAR vehicles. The complexities of SAR imaging make it difficult to distinguish small vehicles from the background clutter, creating a barrier to data interpretation and the development of Automatic Target Recognition (ATR) in SAR vehicles. The scarcity of datasets has inhibited progress in SAR vehicle detection in the data-driven era. To address this, we introduce a new synthetic dataset called Mix MSTAR, which mixes target chips and clutter backgrounds with original radar data at the pixel level. Mix MSTAR contains 5392 objects of 20 fine-grained categories in 100 high-resolution images, predominantly 1478 × 1784 pixels. The dataset includes various landscapes such as woods, grasslands, urban buildings, lakes, and tightly arranged vehicles, each labeled with an Oriented Bounding Box (OBB). Notably, Mix MSTAR presents fine-grained object detection challenges by using the Extended Operating Condition (EOC) as a basis for dividing the dataset. Furthermore, we evaluate nine benchmark rotated detectors on Mix MSTAR and demonstrate the fidelity and effectiveness of the synthetic dataset. To the best of our knowledge, Mix MSTAR represents the first public multi-class SAR vehicle dataset designed for rotated object detection in large-scale scenes with complex backgrounds.

Background Dehydration responsive element-binding ( DREB ) transcription factors are widely present in plants, and involve in signalling transduction, plant growth and development, and stress response. DREB genes have been characterized in multiple species. However, only a few DREB genes have been studied in cotton, one of the most important fibre crops. Herein, the genome‑wide identification, phylogeny, and expression analysis of DREB family genes are performed in diploid and tetraploid cotton species. Results In total, 193, 183, 80, and 79 putative genes containing the AP2 domain were identified using bioinformatics approaches in G. barbadense , G. hirsutum , G. arboretum , and G. raimondii , respectively. Phylogenetic analysis showed that based on the categorization of Arabidopsis DREB genes, 535 DREB genes were divided into six subgroups (A1–A6) by using MEGA 7.0. The identified DREB genes were distributed unevenly across 13/26 chromosomes of A and/or D genomes. Synteny and collinearity analysis confirmed that during the evolution, the whole genome duplications, segmental duplications, and/or tandem duplications occurred in cotton DREB genes, and then DREB gene family was further expanded. Further, the evolutionary trees with conserved motifs, cis -acting elements, and gene structure of cotton DREB gene family were predicted, and these results suggested that DREB genes might be involved in the hormone and abiotic stresses responses. The subcellular localization showed that in four cotton species, DREB proteins were predominantly located in the nucleus. Further, the analysis of DREB gene expression was carried out by real-time quantitative PCR, confirming that the identified DREB genes of cotton were involved in response to early salinity and osmotic stress. Conclusions Collectively, our results presented a comprehensive and systematic understanding in the evolution of cotton DREB genes, and demonstrated the potential roles of DREB family genes in stress and hormone response.

Background Post-COVID-19 syndrome, characterized by persistent symptoms such as fatigue, dyspnea, cough, insomnia, and exercise intolerance, poses a significant challenge to global healthcare systems. Traditional Chinese Medicine (TCM) has been used to manage post-viral syndromes, but high-quality evidence for its effectiveness in post-COVID-19 recovery is limited. This study aimed to evaluate the clinical efficacy and safety of Chinese herbal medicine (CHM) in treating post-COVID-19 syndrome through a systematic review and meta-analysis of randomized controlled trials (RCTs). Methods Five electronic databases (PubMed, Embase, Web of Science, Cochrane Library and CNKI) were systematically searched up to March 15, 2025. RCTs comparing CHM with placebo or usual care in patients with confirmed post-COVID-19 syndrome were included. Primary outcomes were symptom severity measured by the Visual Analogue Scale (VAS); secondary outcomes included relief rates of cough, fatigue, chest tightness, dyspnea, insomnia, and exercise intolerance. Data were pooled using a random-effects model, and heterogeneity was assessed using I 2 statistics. Results Ten RCTs involving 2401 patients were included. CHM showed a greater reduction in VAS scores compared to controls (MD = −1.03; 95% CI −2.10 to 0.03; P = 0.0577), with higher heterogeneity (I 2  = 92%). Although this result did not reach conventional statistical significance, it suggests a potentially meaningful clinical trend favoring CHM. Subgroup analysis indicated both short-term and long-term CHM treatments improved VAS scores, with a stronger effect in long-term treatment. CHM significantly improved chest tightness (RR = 1.40; 95% CI 1.21–1.61; P < 0.0001; I 2  = 0%) and insomnia (RR = 1.23; 95% CI 1.03–1.47; P = 0.0216; I 2  = 0%). A trend toward improvement was observed in fatigue (RR = 1.58, 95% CI 0.95–2.64; P = 0.0781) and dyspnea (RR = 1.39, 95% CI 0.99–1.95; P = 0.0554), although these results did not reach statistical significance. No significant difference was observed in terms of 6-min walking distance (MD = 13.95 m, 95% CI −11.64 to 39.55; P = 0.2853). Adverse event rates were comparable between the herbal and control groups (RR = 0.72, 95% CI 0.49–1.07; P = 0.1052). Conclusions This meta-analysis indicates that Traditional Chinese Medicine (TCM) may help relieve certain post-COVID-19 symptoms, especially chest tightness and insomnia. Trends toward benefit were also noted for fatigue and dyspnea, though without statistical significance. Given the non-significant VAS results and high heterogeneity, these findings should be interpreted cautiously. Further large-scale, high-quality trials are needed to validate these outcomes and optimize treatment strategies. Systematic Review Registration: https://www.crd.york.ac.uk/PROSPERO/home , CRD420251016442.