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Despite the rapid development of thermally activated delayed fluorescent (TADF) materials, developing organic light‐emitting diodes (OLEDs) with small efficiency roll‐off remains a formidable challenge. Herein, we have designed a TADF molecule (mClSFO) based on the spiro fluorene skeleton. The highly twisted structure and multiple charge‐transfer channels effectively suppress aggregation‐caused quenching (ACQ) and endow mClSFO with excellent exciton dynamic properties to reduce efficiency roll‐off. Fast radiative rate (kr) and rapid reverse intersystem crossing (RISC) rate (kRISC) of 1.6×107 s−1 and 1.07×106 s−1, respectively, are obtained in mClSFO. As a result, OLEDs based on mClSFO obtain impressive maximum external quantum efficiency (EQEmax) exceeding 20 % across a wide doping concentration range of 10–60 wt %. 30 wt % doped OLED exhibits an EQEmax of 23.1 % with a small efficiency roll‐off, maintaining an EQE of 18.6 % at 1000 cd m−2. The small efficiency roll‐off and low concentration dependence observed in the TADF emitter underscore its significant potential. [ABSTRACT FROM AUTHOR]

The introduction of alien species poses a serious threat to native biodiversity, and mountain lake systems in the southwest of China are particularly vulnerable to the introduction of non‐native fish. The prey naivety hypothesis states that native species may not be able to recognize novel introduced species due to a lack of common evolutionary background and therefore become easy targets, so the impacts of non‐native fish on mountain endemic amphibians need to be urgently assessed. In an ex‐situ experiment, we exposed the tadpoles of the Chaochiao Brown Frog (Rana chaochiaoensis), endemic to western China, to kairomones of both native and translocated fish species, and their phenotypic and genetic response patterns were compared. The results revealed significant phenotypic plasticity responses in total length (TOL), tail length (TL), and tail muscle width (TW) of tadpoles induced by native fish kairomone, while tadpoles exposed to translocated fish kairomone exhibited weaker phenotypic changes. At the transcriptional level, the number of differently expressed genes (DEGs) in the native fish treatment was 3.1‐fold (liver) and 52.6‐fold (tail muscle) higher than in the translocated fish treatment, respectively. There were more unique DEGs in the native fish treatment, primarily enriched in terms and pathways related to stress response, energy metabolism, and muscle development. The study revealed a lack of risk perception by native tadpoles toward novel non‐native fish, providing new evidence for the prey naivety hypothesis from both phenotypic and molecular perspectives. Future conservation efforts should prioritize assessing the impacts of non‐native fish on alpine and subalpine threatened and narrowly distributed amphibians. Additionally, prevention, early warning, monitoring, and removal of non‐native fish should be carried out as soon as possible. [ABSTRACT FROM AUTHOR]

Near ultraviolet (NUV) organic light‐emitting diodes (OLEDs) have great advantages in the field of light excitation sources, chemical and biological sensors, etc. However, the molecular design of NUV emitters still faces the challenges of spectral broadening and red‐shift. In this study, attaching weak oxygen‐bridged triarylboron acceptor to weak carbazolyl donor is able to address intractable problems by weakening donor–acceptor (D–A) charge transfer. Simultaneously, sterically wrapped and modified oxygen‐bridged triarylboron acceptor by bulk substituents (multiple carbazolyl) can suppress intermolecular π–π stacking through steric hindrance effect. These design strategies are able to obtain short‐wavelength, narrow‐band emission, and great color purity. As a result, carbazolyl derivatives xCz‐BO‐based (x = 2, 3, 4, 5) emitters show EL emission peaks from 406 to 422 nm in the NUV light region and small full‐width at half‐maximums (FWHMs) of 32–41 nm over a wide range of dopant concentrations (10–40 wt.%). The most violet Commission International de I'Eclairage (CIE) color coordinate is (0.16, 0.03). Moreover, 5Cz‐BO can be employed as host for vacuum‐/solution‐processed blue OLEDs and these devices exhibit high performance with EQEs of over 20%. [ABSTRACT FROM AUTHOR]

Developing narrowband blue multiple resonance (MR) organic emitters with Commission Internationale de L'Eclairage (CIE) y coordinates <0.1 is essential for advanced display technologies. This study proposes a deep‐blue thermally activated delayed fluorescence (TADF) emitter, named 2BNO, which integrates two independent MR cores. Unlike many TADF materials with single‐bonded dual emitting cores, 2BNO utilizes a steric hindrance‐assisted fluorene bridge to achieve an orthorhombic molecular structure. The dual‐core MR‐TADF emitter shows enhanced light absorption and a high photoluminescence quantum yield. Notably, the emission of 2BNO is not significantly redshifted compared to single‐core compounds and maintains a narrow full width at half‐maximum (FWHM) of 24 nm with CIE coordinates of (0.147, 0.041) in 2Me‐THF solution, nearing the BT.2020 blue standard. Organic light‐emitting diodes (OLEDs) incorporating 2BNO as the emitter exhibit deep‐blue emission at 460 nm with a narrow FWHM of 29 nm and CIE coordinates of (0.14, 0.09). The dual emitting core design significantly improves device efficiency, achieving a high external quantum efficiency (EQE) of 19.8%. The dual‐core molecular design strategy in this work is demonstrated to be effective in promoting the efficiency of the TADF emitters while preserving deep‐blue color purity. [ABSTRACT FROM AUTHOR]

Electrocatalytic reduction of CO2 powered by renewable electricity provides an elegant route for converting CO2 into valuable chemicals and feedstocks, but normally suffers from a high overpotential and low selectivity. Herein, Ag and Sn heteroatoms were simultaneously introduced into nanoporous Cu (np‐Ag/Sn−Cu) mainly in the form of an asymmetric local electric field for CO2 electroreduction to CO in an aqueous solution. The designed np‐Ag/Sn−Cu catalyst realizes a recorded 90 % energy efficiency and a 100 % CO Faradaic efficiency over ultrawide potential window (ΔE=1.4 V), outperforming state‐of‐the‐art Au and Ag‐based catalysts. Density functional theory calculations combined with in situ spectroscopy studies reveal that Ag and Sn heteroatoms incorporated into Cu matrix could generate strong and asymmetric local electric field, which promotes the activation of CO2 molecules, enhances the stabilization of the *COOH intermediate, and suppresses the hydrogen evolution reaction, thus favoring the production of CO during CO2RR. [ABSTRACT FROM AUTHOR]

Metal halide perovskite light‐emitting diodes (PeLEDs) are gaining increasing attention as a promising candidate for the new‐generation display technology. Although tremendous progress has been witnessed in this field, the device performance of blue PeLEDs still lags far behind that of the green and red counterparts. In this work, an effective interfacial engineering is employed to boost the radiative recombination of blue perovskite film by introducing a multifunctional tetraethyl orthosilicate (TEOS) network on the grain‐growth substrate. Benefitting from the strong interaction between the TEOS molecule and perovskite nuclei, the perovskite crystallization dynamics are effectively regulated, contributing to significantly improved emitting film with uniformly distributed halogen and concentrated low‐dimensional domain. Additionally, the TEOS network can distinctly passivate the crystal defects at the buried perovskite interface owing to its adequate electron‐donating sites. Consequently, the target blue PeLEDs featuring a stable emission peak at 488 nm exhibit a champion external quantum efficiency of 17.3%, which is among the highest values to date. The results demonstrate the critical role of the surface molecular characteristics of the grain‐growth substrate in regulating the mixed‐halide blue perovskite crystallization. [ABSTRACT FROM AUTHOR]

Objective: The Generic Version of China Health Related Outcomes Measures (CHROME‐G) was a new preference‐based health‐related quality of life (HRQoL) instrument designed specifically for the Chinese population. This study aimed to validate and compare measurement properties of CHROME‐G with EuroQol‐5 Dimensions‐5 Levels (EQ‐5D‐5L), Short Form‐6 Dimensions version 2 (SF‐6Dv2), and Diabetes‐Specific Quality of Life (DSQL) scales among the elderly Chinese population with type 2 diabetes. Methods: A representative sample population was recruited across the country. Internal consistency was assessed using Cronbach's alpha. Hypotheses testing including convergent validity and known‐groups validity were evaluated using Spearman's rank correlation and effect sizes, respectively. Sensitivity was examined using relative efficiency and receiver operating characteristic curve. Results: A total of 131 individuals with type 2 diabetes (54.20% male; mean age 69.03 years) were enrolled. Cronbach's alpha was 0.94 for DSQL, 0.93 for CHROME‐G, 0.87 for EQ‐5D‐5L, and 0.88 for SF‐6Dv2. For the convergent validity of CHROME‐G, 24/29 (82.76%) correlations met the predefined hypotheses, with Spearman's rank correlation coefficients ranging from 0.51 to 0.96. Among the different health subgroups, the effect sizes for CHROME‐G, DSQL, EQ‐5D‐5L, and SF‐6Dv2 were 0.19–1.26, 0.36–1.62, 0.22–1.06, and 0.49–0.87, respectively. CHROME‐G, DSQL, and SF‐6Dv2 had higher efficiency compared with EQ‐5D‐5L in detecting differences in self‐reported health status, with relative efficiency of 3.18 and 1.76, 4.38 and 6.52, and 1.56 and 2.09, respectively. Conclusions: CHROME‐G demonstrates relatively good measurement properties compared with EQ‐5D‐5L and SF‐6Dv2 for measuring the HRQoL among the elderly Chinese population with type 2 diabetes. The sensitivity of DSQL appears to be better than that of the three generic instruments. [ABSTRACT FROM AUTHOR]

Hepatocellular carcinoma (HCC) is a significant global health concern. However, there are limited effective treatments available for it. The use of natural products in the management and treatment of HCC is gaining more attention. Baicalein is a flavonoid compound that has been reported to have antitumor activities in HCC. However, the direct binding targets of baicalein are still unknown. Therefore, we used the DNA‐programmed affinity labeling method to identify the target of baicalein and validated its function in HCC cells. We set blank and competitive DNA probes as negative controls. The results showed that baicalein had 136 binding targets, of which 13 targets were differently expressed in HCC tissues. The enriched cellular process of these targets was apoptosis, which involved MAPK9. We tested the binding affinity of baicalein with MAPK9 as 89.7 nM (Kd) by surface plasmon resonance and analyzed the binding sites by virtual docking. Notably, the binding of baicalein with MAPK9 increased the protein levels of MAPK9 itself and the related downstream apoptosis signaling, triggering the apoptosis of HCC cells. However, the inhibitor of MAPK9, SP600125, blocked the baicalein‐induced apoptosis, and the amounts of MAPK9 and downstream molecules were also decreased, indicating that baicalein acted through MAPK9 to induce apoptosis of HCC cells. In conclusion, we used the DNA‐programmed affinity labeling method to identify the direct‐binding target MAPK9 of baicalein and validated its function in baicalein‐induced apoptosis of HCC cells, which would be helpful to understand and use baicalein in HCC therapy. [ABSTRACT FROM AUTHOR]

Background: Uterine endometrial cancer (UEC) is a common gynecological estrogen‐dependent carcinoma, usually accompanied by intermenstrual bleeding. Active heme metabolism frequently plays an increasingly important role in many diseases, especially in cancers. Tumor‐associated macrophages (TAMs) are the major population in the immune microenvironment of UEC. However, the roles of heme metabolisms in the crosstalk between UEC cells (UECCs) and macrophages are unclear. Materials and Methods: In our study, by using TCGA database analysis, integration analysis of the protein–protein interaction (PPI) network and sample RNA transcriptome sequencing were done. The expression level of both heme‐associated molecules and iron metabolism‐related molecules were measured by quantitative real‐time polymerase chain reaction. Heme level detection was done through dehydrohorseradish peroxidase assay. In addition to immunohistochemistry, phagocytosis assay of macrophages, immunofluorescence staining, intracellular ferrous iron staining, as well as enzyme‐linked immune sorbent assay were performed. Results: In the study, we verified that heme accumulation in UECCs is apparently higher than in endometrial epithelium cells. Low expression of succinate dehydrogenase B under the regulation of estrogen contributes to over‐production of succinate and heme accumulation in UECC. More importantly, excessive heme in UECCs impaired macrophage phagocytosis by regulation of CD36. Mechanistically, this process is dependent on toll‐like receptor (TLR4)/type I interferons alpha (IFN Iα) regulatory axis in macrophage. Conclusion: Collectively, these findings elucidate that active heme metabolism of UECCs directly decreases phagocytosis by controlling the secretion of TLR4‐mediated IFN Iα and the expression of CD36, and further contributing to the immune escape of UEC. [ABSTRACT FROM AUTHOR]

Background: The aim was to evaluate the effect of beta‐blockers (BB) on the response of heart rate (HR) to 6‐min walk test (6MWT) in atrial fibrillation (AF) and whether the AF patients treated with BB have a similar HR response to 6MWT as the AF and sinus rhythm (SR) patients without BB treatment at the same resting HR level. Methods: The before–after study involving 74 AF patients was to evaluate the effect of BB treatment (pre‐BB and with BB). The comparison study included 74 BB‐treated AF patients (with BB), 74 matched AF patients without BB (no BB), and 74 SR patients. The percentage increase amplitude of HR (HR‐PIA) in 6MWT was calculated: [(the exercise HR − the resting HR)/(the resting HR)] × 100%. Results: The before–after study showed that BB treatment decreased the resting and mean exercise HR (98.6 ± 15.2 vs. 85.5 ± 11.2 bpm and 121.3 ± 17.3 vs. 109.0 ± 16.7 bpm) during 6MWT. The comparison study demonstrated that against the SR, the AF with BB and no BB groups have higher mean exercise HR‐PIA (28.2 ± 17.1% and 22.0 ± 9.6%, vs. 6.9 ± 3.7%) when their resting HR is similar. Moreover, the mean exercise HR‐PIA was also significantly higher in the with BB group than in the no BB group. Conclusion: In AF patients with relatively higher resting HR, BB treatment could decrease the resting and exercise HR during 6MWT. However, BB treatment could not effectively attenuate the exercise HR rise as compared with AF without BB treatment, even with similar resting HR levels. [ABSTRACT FROM AUTHOR]

Purpose: Persistent microvascular obstruction (MVO) after successful percutaneous coronary intervention (PCI) in acute ST segment elevation myocardial infarction (STEMI) has been well‐described. MVO predicts lack of recovery of left ventricular function and increased mortality. Sonothrombolysis utilizing diagnostic ultrasound induced cavitation of commercially available microbubble contrast has been effective at reducing infarct size and improving left ventricular ejection fraction (LVEF) when performed both pre‐ and post‐PCI. However, the effectiveness of post‐PCI sonothrombolysis alone after successful PCI has not been demonstrated. Methods: A prospective randomized controlled trial was performed in 50 consecutive consenting patients with anterior STEMI who underwent a continuous microbubble infusion immediately following successful PCI. Intermittent high mechanical index (MI) impulses were applied only in the sonthrombolysis group. Delayed enhancement magnetic resonance imaging (MRI) was performed at 48 h and again at 6–8 weeks to assess for differences in infarct size, LVEF, and MVO. Results: There were no differences between groups in age, gender, and cardiovascular risk factors. Significant (> 2 segments) MVO following successful PCI was observed in 66% of patients. Although sonothrombolysis reduced the extent of MVO acutely, there were no differences in infarct size, LVEF, or extent of MVO by MRI at 48 h. Twenty‐eight patients returned for a follow up MRI at 6–8 weeks. LVEF improved only in the sonothrombolysis group (∆LVEF 7.81 ± 4.57% with sonothrombolysis vs. 1.77 ± 7.02% for low MI only, p =.011). Conclusion: Post‐PCI sonothrombolysis had minimal effect on reducing myocardial infarct size but improved left ventricular systolic function in patients with acute anterior wall STEMI. [ABSTRACT FROM AUTHOR]

Background: Acoustically activatable perfluoropropane droplets (PD) can be formulated from commercially available microbubble preparations. Diagnostic transthoracic ultrasound frequencies have resulted in acoustic activation (AA) predominately within myocardial infarct zones (IZ). Objective: We hypothesized that the AA area following acute coronary ischemia/reperfusion (I/R) would selectively enhance the developing scar zone, and target bioeffects specifically to this region. Methods: We administered intravenous PD in 36 rats and 20 pigs at various stages of myocardial scar formation (30 minutes, 1 day, and 7 days post I/R) to determine what effect infarct age had on the AA within the IZ. This was correlated with histology, myeloperoxidase activity, and tissue nitrite activity. Results: The degree of AA within the IZ in rats was not associated with collagen content, neutrophil infiltration, or infarct age. AA within 24 hours of I/R was associated with increased nitric oxide utilization selectively within the IZ (P <.05 compared with remote zone). The spatial extent of AA in pigs correlated with infarct size only when performed before sacrifice at 7 days (r =.74, P <.01). Conclusions: Acoustic activation of intravenous PD enhances the developing scar zone following I/R, and results in selective tissue nitric oxide utilization. [ABSTRACT FROM AUTHOR]

Background and Objectives: The effect of elevated atmospheric CO2 (eCO2) on rice (Oryza sativa L.) grain quality has been widely studied, but mostly under two contrasting levels of CO2 concentration. Our study was conducted in a new version of CO2 Gradient Tunnel (CGT) to study the responses of grain quality of japonica rice cv. Wuyoudao no.4 (WYD4) and Songjing no.9 (SJ9) to five CO2 concentrations (390–600 μmol·mol−1) gradient levels at two cultivation practices: traditional flooding (TF) and non‐flooded plastic film mulching (PM). Findings: The results showed that the response of SJ9 to eCO2 was more pronounced under TF cultivation. When the CO2 concentration increased to 450 μmol·mol−1, the brown rice ratio and milled rice ratio of SJ9 decreased by 4.2% and 17.7%, respectively. However, when CO2 concentration increased to 600 μmol·mol−1, the brown rice ratio increased by 3.7%. These results reveal that different gradients of eCO2 have different effects on rice quality. Besides that, eCO2 decreased the nutritional quality of SJ9 by decreasing the protein content and amylose content, while eCO2 improved rice appearance and eating quality. Different from SJ9, when CO2 concentration increased to 500–600 μmol·mol–1, the milled rice ratio and head rice ratio of WYD4 increased by 5.9%–7.5% and 16.7%–19.5% under PM cultivation. Furthermore, eCO2 decreased the chalky grain rate or chalkiness by 34.5%–80.5% and 53.1%–77.1%, respectively. Conclusions: Under PM cultivation, the rice milling quality and appearance quality of WYD4 were promoted by eCO2. Rice nutritional quality was significantly decreased in both cultivation practices. In the comparison of rice quality between the two cultivations, except for rice eating quality, the other grain quality parameters of SJ9 under PM cultivation were better than those under TF cultivation. The opposite was true for WYD4. Significance and Novelty: Under future production conditions with eCO2, the high‐yielding SJ9 cultivar is more suitable for water‐saving cultivation with mulching film, while the high‐quality WYD4 is suitable for TF cultivation. [ABSTRACT FROM AUTHOR]

Endometriosis (EM) is one of the diseases related to retrograded menstruation and hemoglobin. Heme, released from hemoglobin, is degraded by heme oxygenase‐1 (HO‐1). In EM lesions, heme metabolites regulate processes such as inflammation, redox balance, autophagy, dysmenorrhea, malignancy, and invasion, where macrophages (Mø) play a fundamental role in their interactions. Regulation occurs at molecular, cellular, and pathological levels. Numerous studies suggest that heme is an indispensable component in EM and may contribute to its pathogenesis. The regulatory role of heme in EM encompasses cytokines, signaling pathways, and kinases that mediate cellular responses to external stimuli. HO‐1, a catalytic enzyme in the catabolic phase of heme, mitigates heme's cytotoxicity in EM due to its antioxidant, anti‐inflammatory, and anti‐proliferative properties. Certain compounds may intervene in EM by targeting heme metabolism, guiding the development of appropriate treatments for all stages of endometriosis. [ABSTRACT FROM AUTHOR]

The direct conversion of specific C−H bonds to C−Si bonds in alkanes or aromatics via catalytic methods has attracted growing research interest. Herein, we report the preparation of a new iridium catalyst supported on a naphthyridine‐based porous organic polymer and its successful application in the dehydrogenative silylation of 2‐arylphenols or alcohol and hydrosilanes to access ring‐fused oxasilacycles. The synthetic method exhibits broad substrate scope and good functional group compatibility while avoiding the use of hydrogen acceptors. In addition, this organic polymer supported iridium catalyst could be easily recovered from the reaction system and reused for at least seven times without apparent deactivation. This research provides new insights for the further design of heterogeneous nanocatalysts and contributes to the synthesis of silicon‐substituted functional molecules. [ABSTRACT FROM AUTHOR]

Background: Ovarian clear cell carcinoma (OCCC) represents a subtype of ovarian epithelial carcinoma (OEC) known for its limited responsiveness to chemotherapy, and the onset of distant metastasis significantly impacts patient prognoses. This study aimed to identify potential risk factors contributing to the occurrence of distant metastasis in OCCC. Methods: Utilizing the Surveillance, Epidemiology, and End Results (SEER) database, we identified patients diagnosed with OCCC between 2004 and 2015. The most influential factors were selected through the application of Gaussian Naive Bayes (GNB) and Adaboost machine learning algorithms, employing a Venn test for further refinement. Subsequently, six machine learning (ML) techniques, namely XGBoost, LightGBM, Random Forest (RF), Adaptive Boosting (Adaboost), Support Vector Machine (SVM), and Multilayer Perceptron (MLP), were employed to construct predictive models for distant metastasis. Shapley Additive Interpretation (SHAP) analysis facilitated a visual interpretation for individual patient. Model validity was assessed using accuracy, sensitivity, specificity, positive predictive value, negative predictive value, F1 score, and the area under the receiver operating characteristic curve (AUC). Results: In the realm of predicting distant metastasis, the Random Forest (RF) model outperformed the other five machine learning algorithms. The RF model demonstrated accuracy, sensitivity, specificity, positive predictive value, negative predictive value, F1 score, and AUC (95% CI) values of 0.792 (0.762–0.823), 0.904 (0.835–0.973), 0.759 (0.731–0.787), 0.221 (0.186–0.256), 0.974 (0.967–0.982), 0.353 (0.306–0.399), and 0.834 (0.696–0.967), respectively, surpassing the performance of other models. Additionally, the calibration curve's Brier Score (95%) for the RF model reached the minimum value of 0.06256 (0.05753–0.06759). SHAP analysis provided independent explanations, reaffirming the critical clinical factors associated with the risk of metastasis in OCCC patients. Conclusions: This study successfully established a precise predictive model for OCCC patient metastasis using machine learning techniques, offering valuable support to clinicians in making informed clinical decisions. [ABSTRACT FROM AUTHOR]

Objectives: Regulatory T (Treg) cells regulate immunity in autoimmune diseases and cancers. However, immunotherapies that target tumor‐infiltrating Treg cells often induce unwanted immune responses and tissue inflammation. Our research focussed on exploring the expression pattern of CD177 in tumor‐infiltrating Treg cells with the aim of identifying a potential target that can enhance immunotherapy effectiveness. Methods: Single‐cell RNA sequencing (scRNA‐seq) data and survival data were obtained from public databases. Twenty‐one colorectal cancer patient samples, including fresh tumor tissues, peritumoral tissues and peripheral blood mononuclear cells (PBMCs), were analysed using flow cytometry. The transendothelial activity of CD177+ Treg cells was substantiated using in vitro experiments. Results: ScRNA‐seq and flow cytometry results indicated that CD177 was exclusively expressed in intratumoral Treg cells. CD177+ Treg cells exhibited greater activation status and expressed elevated Treg cell canonical markers and immune checkpoint molecules than CD177− Treg cells. We further discovered that both intratumoral CD177+ Treg cells and CD177‐overexpressing induced Treg (iTreg) cells had lower levels of PD‐1 than their CD177− counterparts. Moreover, CD177 overexpression significantly enhanced the transendothelial migration of Treg cells in vitro. Conclusions: These results demonstrated that Treg cells with higher CD177 levels exhibited an enhanced activation status and transendothelial migration capacity. Our findings suggest that CD177 may serve as an immunotherapeutic target and that overexpression of CD177 may improve the efficacy of chimeric antigen receptor T (CAR‐T) cell therapy. [ABSTRACT FROM AUTHOR]

Ectropis grisescens is a notorious pest in tea plantations. The control of E. grisescens relies on synesthetic pesticides but the resurgence is always accompanied by increasing resistance. Therefore, it is crucial to use biological control to reduce the damage caused by E. grisescens. Here, we collected soil from a tea plantation, used Galleria mellonella as a bait insect and successfully isolated one entomopathogenic fungus. The isolated colony was initially identified as Cordyceps sp. using morphological observation. ITS‐rDNA sequence amplification and sequencing, molecular database comparisons, and phylogenetic analysis proved this fungus as a new species and thus named Cordyceps sp. WZFW1. Further virulence test of Cordyceps sp. WZFW1 against E. grisescens was evaluated under laboratory conditions. Lethal concentration was 5.74 × 106 spore/mL with a confidence level of 2.32 × 106 ~ 1.79 × 107 and lethal time was 2.98 days at 108 spore/mL and 7.47 days at 107 spore/mL, indicating Cordyceps sp. WZFW1 was effective at controlling E. grisescens. Our findings are significant as they contribute to the application of new entomopathogenic fungi (EPF) species as biocontrol agents, promoting eco‐friendly pest management practices. Research Highlights: A novel species, Cordyceps sp. WZFW1, was isolated from soil in a tea plantation in China. Cordyceps sp. WZFW1 caused up to 79% mortality to second‐instar Ectropis grisescens larvae after 7‐day treatment, indicating its potential in E. grisescens control. [ABSTRACT FROM AUTHOR]

Background: Laryngeal and hypopharyngeal cancers often require surgical treatment, which can lead to the development of pharyngocutaneous fistula (PCF). Our research aimed to assess the predictive value of skeletal muscle mass (SMM) and systemic inflammation indices for PCF and construct a clinically effective nomogram. Methods: A nested case–control study of 244 patients matched from 1171 patients with laryngeal or hypopharyngeal cancer was conducted. SMM was measured at the third cervical level based on CT scans. A PCF nomogram was developed based on the univariate and multivariate analyses. Results: Glucose, white blood cell count, platelet‐to‐lymphocyte ratio, and skeletal muscle index were independent risk factors for PCF. The area under the curve for the PCF nomogram was 0.841 (95% CI 0.786–0.897). The calibration and decision curves indicated that the nomogram was well‐calibrated with good clinical utility. Conclusions: The nomogram we constructed may help clinicians predict PCF risk early in the postoperative period, pending external validation. [ABSTRACT FROM AUTHOR]

Helicobacter pylori is one of the main predisposing factors for gastric cancer, causing chronic inflammation and proper glands atrophy in the gastric mucosa. Although H. pylori‐induced inflammation is a key inducer of precancerous lesions in the gastric mucosa, it remains unclear which precise immune cell subsets are responsible for the progression of H. pylori‐induced gastritis. Here, we observed an abundance of CD4+IL‐17A+FOXP3+ T cells exhibiting a Th17‐like phenotype within the microenvironment of H. pylori‐induced gastritis. Mechanistically, H. pylori upregulated the expression of IL‐6 in Dendritic cells and macrophages, by activating NF‐κB signaling through the virulence factor CagA and thus, induced IL‐17A expression in FOXP3+ T cells. Moreover, CD4+IL‐17A+FOXP3+ T cells were positively associated with advanced precancerous lesions. Therefore, these findings offer essential insights into how FOXP3+ T cells sense inflammatory signals from the environment, such as IL‐6, during H. pylori infections, thereby guiding the effector immune response and aggravating the gastritis. [ABSTRACT FROM AUTHOR]

Satellite infrared detectors cannot penetrate clouds, especially precipitating clouds. Improving precipitation estimation accuracy based on infrared brightness temperature has always been important but challenging. In this paper, based on the infrared brightness temperature of the Advanced Geosynchronous Radiation Imager (AGRI) onboard China's Feng‐Yun 4A satellite, we develop and evaluate a new precipitation estimation method. First, using static data, physical characteristics of clouds, cloud image texture features, temporal motion features, and AGRI infrared channel brightness temperature, we construct features for a machine learning model. Then, we develop precipitation estimation methods. Precipitation is estimated in two steps: classification and regression. We employ a random forest classification model to identify whether there is precipitation in a given field of view. If there is precipitation, a multi‐model ensemble regression learning method is used to estimate the areas with this precipitation. The ensemble learning method uses convex optimization to integrate prediction results based on the optimization of hyperparameters of five basic models (i.e., those of random forest, XGBoost, LightGBM, decision tree, and extra tree models). Furthermore, two regression stacking ensemble models—the Least Absolute Shrinkage and Selection Operator (herein referred to as Stacking1‐LASSO) and K‐nearest neighbor (herein referred to as Stacking2‐KNN)—are used to predict the results of the aforementioned basic models. The results of basic models are used as inputs of these two stacking models. Finally, based on the Integrated Multi‐satellitE Retrievals for GPM (IMERG) precipitation product and rain gauge precipitation data, we conduct precipitation estimation experiments and evaluate our methods. The results show that ensemble learning models have greater accuracy in estimating precipitation than the basic models. When using IMERG precipitation as the target precipitation, ensemble learning models can estimate the central area of heavy precipitation during typhoons Ampil and Maria. The ensemble learning estimation effect is better than that of Stacking2‐KNN. Moreover, when rain gauge data is used as the target precipitation, ensemble learning can also estimate the center of heavy precipitation and with good consistency with recorded satellite brightness temperature data. Key Points: A convex optimization weighted and stacked ensemble learning method for satellite data estimation of precipitation is developedNear real‐time precipitation estimates can be obtained throughout the day using only geographic information and Advanced Geosynchronous Radiation Imager infrared brightness temperature dataThe proposed ensemble learning method can estimate the central areas of typhoons and short‐term heavy rainfall [ABSTRACT FROM AUTHOR]

Objective: Interferon (IFN)‐1 signatures are a hallmark of patients with systemic sclerosis (SSc). However, its significance in clinical stratification and contribution to deterioration still need to be better understood. Methods: For hypothesis generation, we performed single‐cell RNA sequencing (scRNA‐seq) on skin biopsies (four patients with SSc and two controls) using the BD Rhapsody platform. Two publicly available data sets of skin scRNA‐seq were used for validation (GSE138669: 12 patients with diffuse cutaneous SSc [dcSSc] and 10 controls; GSE195452: 52 patients with dcSSc and 41 patients with limited cutaneous SSc [lcSSc] and 54 controls). The IFN‐1 signature was mapped, functionally investigated in a bleomycin plus IFNα‐2 adenovirus‐associated virus (AAV)–induced model and verified in an SSc cohort (n = 61). Results: The discovery and validation data sets showed similar findings. Endothelial cells (ECs) had the most prominent IFN‐1 signature among dermal nonimmune cells. The EC IFN‐1 signature was increased both in patients with SSc versus controls and in patients with dcSSc versus those with lcSSc. Among EC subclusters, the IFN‐1 signature was statistically higher in the capillary ECs of patients with dcSSc, which was higher than those in patients with lcSSc, which in turn was higher than those in healthy controls (HCs). Endothelial‐to‐mesenchymal transition (EndoMT) scores increased in parallel. Deteriorated bleomycin‐induced dermal fibrosis, EndoMT, and perivascular fibrosis and caused blood vessel loss with EC apoptosis. Vascular myxovirus resistance (MX) 1, an IFN‐1 response protein, was significantly increased both in total SSc versus HC skin and in dcSSc versus lcSSc skin. Baseline vascular MX1 performed similarly to skin score in predicting disease progression over 6 to 34 months in total SSc and was superior in the dcSSc subpopulation. Conclusion: The EC IFN‐1 signature distinguished SSc skin subtypes and disease progression and may contribute to vasculopathy and fibrosis. [ABSTRACT FROM AUTHOR]

Extracellular vesicles and particles (EVPs) are recognized as ideal liquid biopsy tools for cancer detection, and membrane proteins are commonly used EVP biomarkers. However, bulk analysis of EVP membrane protein biomarkers typically fails to meet the clinical requirement for diagnostic accuracy. We investigated the correlation between the membrane protein expression level, the binding kinetics to aptamers and the sizes of EVPs with interferometric plasmonic microscopy (iPM), and demonstrated the implementation of the correlative signature to determine cancer types. Using EVPs collected from both cell model and clinical plasma samples with liver, lung, breast, or prostate cancer, we found that the selective set of membrane protein expression levels of five protein markers and their binding kinetics were highly heterogeneous across various sizes of EVPs, resulting in the low overall accuracy (<50%) in cancer classification with bulk analysis of all populations. By grouping the EVPs into three subpopulations according to their sizes, the overall accuracy could be increased to about 70%. We further grouped the EVPs into subpopulations with a 10 nm interval in sizes and analysed the correlation between the membrane proteins and sizes with a machine learning algorithm. The results show that the overall accuracy to discriminate cancer types could be improved to 85%. Therefore, this work highlights the significance of size‐dependent subtyping of EVPs and suggests that the correlation between the selective set of membrane proteins and sizes of EVP can serve as a signature for clinical cancer diagnosis. [ABSTRACT FROM AUTHOR]

Organic light‐emitting diodes (OLEDs) based on thermally activated delayed fluorescence (TADF) materials are promising for the realization of highly efficient emitters. However, severe efficiency roll‐off at high brightness still remains as a huge challenge for TADF‐based OLEDs. Herein, rod‐like orange‐red TADF emitters of 2BNCz‐PZ and 2BNtCz‐PZ with acceptor‐donor‐acceptor (A‐D‐A) configuration are developed by bearing dihydrophenazine donor and discoidal rigid boron, nitrogen‐contained polycyclic aromatic hydrocarbons acceptors. Both emitters exhibit hybrid long‐range/short‐range charge‐transfer excitation for small singlet‐triplet energy splitting, short delayed lifetime, and high photoluminescence quantum yield, leading to fast singlet radiation rate over 107 s−1 and fast reverse intersystem crossing rate over 106 s−1. Furthermore, a horizontal emitting dipole orientation factor over 90% is realized. The optimized orange‐red OLED based on 2BNtCz‐PZ presents a maximum external quantum efficiency (EQE) of 31.0% and a slight EQE roll‐off to 22.2% at 1 000 cd m−2 with emission peak over 600 nm. In addition, the single‐emitting layer white OLEDs achieve a maximum EQE of 30.6% due to the use of these orange‐red dopants with intense charge‐transfer absorption band. This work reveals the potential of the rod‐like A‐D‐A configuration for constructing highly efficient orange‐red TADF emitters with low‐efficiency roll‐off. [ABSTRACT FROM AUTHOR]

Non‐invasive biomarkers for immunotherapy response remain a compelling unmet medical need. POLARIS‐03 is a multicenter phase II trial to evaluate the safety and efficacy of toripalimab (anti‐programmed cell death 1) in refractory metastatic urothelial carcinoma (mUC). We assessed the predictive utility of longitudinal circulating tumor DNA (ctDNA) analysis from a single‐institution biomarker cohort. Twenty‐seven mUC patients receiving toripalimab (3 mg/kg Q2W) at Ren Ji Hospital were enrolled. Serial plasma specimens were obtained at baseline and then every two cycles during treatment. The 600‐gene panel (PredicineATLAS™) liquid biopsy assay was applied to probe somatic variants and cancer cell fraction (CCF). Low‐pass whole genome sequencing was used to determine the copy number abnormality (CNA) score. Across the entire cohort, we observed different degrees of concordance between somatic aberrations detected by ctDNA and those inferred by matched tumor samples. Although the baseline CCF or CNA had limited predictive value, early ctDNA response at week 8 was associated with toripalimab efficacy and prolonged patient survival. Integrating CCF and CNA decrease achieved a superior accuracy of 90.5% in classifying responders and non‐responders and predicted long‐term benefit from toripalimab. Dynamic changes in the CCF and CNA in blood exquisitely reflected radiographic assessment of malignant lesions, including those with FGFR3–TACC3 gene fusion or microsatellite instability. This study demonstrates the feasibility and effectiveness of integrated longitudinal ctDNA profiling as a potential biomarker in mUC patients undergoing immunotherapy and supports further clinical evaluation of minimally invasive liquid biopsy assays for treatment stratification and therapy monitoring. © 2023 The Pathological Society of Great Britain and Ireland. [ABSTRACT FROM AUTHOR]

An integrated approach combing density functional theory (DFT) and machine learning algorithm (MLA) is proposed here to obtain the molar heat capacities and entropies of diatomic macroscopic gasses with high quality. The DFT approach takes care of the main physical effects, while machine learning takes care of the intricate details it leaves out. After machine learning algorithm correction, a complete set of accurate prediction of vibrational energy spectrum is obtained, which is better than the results of DFT methods in accuracy. And then it is used to replace the vibrational part in the ro‐vibrational energy calculated by DFT to obtain the rectified ro‐vibrational energy. Furthermore, through the quantum ensemble theory, the thermodynamic properties of the macroscopic gas are calculated by the predicted ro‐vibrational energy spectrum, and are modified again by the machine learning algorithm. The study of the HCl and HBr system show that, compared with CCSD(T)/cc‐pV5Z and the improved variational algebraical method, the macroscopic thermodynamic properties calculated by this work in the temperature range of 300–6000 K are the closest to the experimental values. The relative error is less than 1% at each temperature. [ABSTRACT FROM AUTHOR]

The 2019 novel coronavirus disease (COVID‐19) pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) is ongoing, and has necessitated scientific efforts in disease diagnosis, treatment, and prevention. Interestingly, extracellular vesicles (EVs) have been crucial in these developments. EVs are a collection of various nanovesicles which are delimited by a lipid bilayer. They are enriched in proteins, nucleic acids, lipids, and metabolites, and naturally released from different cells. Their natural material transport properties, inherent long‐term recycling ability, excellent biocompatibility, editable targeting, and inheritance of parental cell properties make EVs one of the most promising next‐generation drug delivery nanocarriers and active biologics. During the COVID‐19 pandemic, many efforts have been made to exploit the payload of natural EVs for the treatment of COVID‐19. Furthermore, strategies that use engineered EVs to manufacture vaccines and neutralization traps have produced excellent efficacy in animal experiments and clinical trials. Here, the recent literature on the application of EVs in COVID‐19 diagnosis, treatment, damage repair, and prevention is reviewed. And the therapeutic value, application strategies, safety, and biotoxicity in the production and clinical applications of EV agents for COVID‐19 treatment, as well as inspiration for using EVs to block and eliminate novel viruses are discussed. [ABSTRACT FROM AUTHOR]

Perovskite Light‐emitting diodes (PeLEDs) have emerged as a promising technique for future high‐definition displays due to their outstanding electroluminescent characters. However, the development of blue PeLEDs toward practical applications is seriously hindered by their inferior performance, which mainly arises from the detrimental halide ionic behavior and thus severe nonradiative recombination in mixed‐halide blue perovskite materials. Herein, efficient sky‐blue PeLEDs featuring spectrally stable emission at 483 nm are realized by employing bifunctional passivators of Lewis‐base benzoic acid anions and alkali metal cations to simultaneously passivate the under‐coordinated lead atoms and suppress halide ion migration. A decent external quantum efficiency (EQE) of 16.58% and a maximum EQE of 18.65% are achieved, which is further boosted to 28.82% through the optical outcoupling enhancement. This work demonstrates unique insight into the generality and individuality of this category of benzoates and puts forward a feasible guidance in choosing appropriate additives for efficient perovskite materials. [ABSTRACT FROM AUTHOR]

The separation of alkane isomers is an important yet challenging process in the petrochemical industry. Being a crucial step to produce premium gasoline components as well as optimum ethylene feed, the current industrial separation by distillation is extremely energy intensive. Adsorptive separation based on zeolite is limited by insufficient adsorption capacity. Metal‐organic frameworks (MOFs) hold enormous promise as alternative adsorbents due to their diverse structural tunability and exceptional porosity. Precise control of their pore geometry/dimensions has led to superior performance. In this minireview, we highlight the recent progresses in developing MOFs for the separation of C6 alkane isomers. Representative MOFs are reviewed based on their separation mechanisms. Emphasis is put on the material design rationale for achieving optimal separation capability. Finally, we briefly discuss the existing challenges, possible solutions, and future directions of this important field. [ABSTRACT FROM AUTHOR]

The underestimation of cloud fraction, especially the low stratus cloud (LSC) fraction over the eastern oceans, remains a problem in most atmospheric global climate models. This study investigated potential improvements through perturbing nine moist physical parameters, using uniform sampling and Latin hypercube sampling methods, and quantified the parametric uncertainty and effects of non‐linear interaction between parameters on the tropical cloud fraction in the Grid‐Point Atmospheric Model of the Institute of Atmospheric Physics/State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, version 2. Results showed that the uncertainty ranges of the tropical total cloud fraction and LSC associated with multiple‐parameter perturbation were larger than those from any single‐parameter perturbation. The total cloud fraction was significantly improved with multiple‐parameter perturbation and the LSC also increased notably when using parameter values optimized for the total cloud fraction because of the indirect parametric effect on lower‐tropospheric stability. Non‐linear effects between parameters on simulating LSC were much stronger than those on simulating the total cloud fraction. Furthermore, the non‐linear interaction reduced large values of total cloud fraction but had a strong incremental effect on large values of LSC over the southeast Pacific. The findings demonstrate the feasibility of improving the simulation of LSC over the eastern oceans by tuning moist parameters, and provide further insight into the non‐linear effects between parameters on the simulation of cloud fraction. Plain Language Summary: Clouds play a crucial role in Earth's climate system by modulating radiation budgets. This paper reports the results of a study aimed at better understanding the moist parametric uncertainty and non‐linear effects on the tropical cloud fraction in climate model simulations. This is important because underestimation of the tropical cloud fraction—particularly over marine stratus regions—remains a problem for climate models. Determining whether the biases can be reduced by tuning parameters may provide a solution. Our results demonstrate the feasibility of improving the simulation of total cloud fraction, and even marine stratus, through parameter tuning. Furthermore, our results highlight the different non‐linear effects on cloud over different areas, which should motivate further studies on these non‐linear effects within other important physical processes or phenomena in climate simulations. Key Points: Two methods are used to quantify the parametric uncertainty and non‐linear effects between parameters on tropical cloud fractionThe total cloud fraction is improved and the marine stratus also increases because of the indirect parametric effect on lower‐tropospheric stabilityThe effects of non‐linear interaction between parameters on the marine stratus are stronger than those on the total cloud fraction [ABSTRACT FROM AUTHOR]

The improved Hulburt–Hirschfelder potential energy function is used as a proposal to emulate the behavior of intramolecular motion of a gas composed of diatomic molecules. In this work, the rovibrational energies of ClO molecule in the ground electronic state are obtained by solving the one‐dimensional Schrödinger equation with the improved Hulburt–Hirschfelder potential energy curve. And then, the molar heat capacities, molar entropies, molar enthalpies and reduced Gibbs free energies of ClO macroscopic gas are calculated by the quantum statistical ensemble theory. The results are compared with those calculated by using RKR potential energy curve from experiment and Morse potential energy function. It is found that the macroscopic thermodynamic properties of ClO calculated by the improved Hulburt–Hirschfelder potential energy function are closer to the experimental values, which provides a new way to calculate the macroscopic thermodynamic quantities of diatomic gas based on molecular microscopic information. [ABSTRACT FROM AUTHOR]

Organic materials featuring intramolecular through‐space charge transfer (TSCT) excited states are advantageous for efficient thermally activated delayed fluorescence (TADF), although the realization of multiple TSCT systems remains challenging. Herein, a rigid molecule with a three‐dimensional dislocated sandwich acceptor‐donor‐acceptor configuration has been developed by a linking biphenazine (2PXZ) donor and 2,4,6‐triphenyl‐1,3,5‐triazine (TRZ) acceptor through the twin‐locking of two spiro‐fluorene bridges. The twin‐locking construction with multiple TSCT effects suppresses the intramolecular rotations of various segments in 2PXZ‐2TRZ, leading to a small singlet‐triplet energy difference, a fast reverse intersystem crossing process, and high photoluminescence quantum yield. This material simultaneously possesses the capabilities of TADF and aggregation‐induced emission. The device employing 2PXZ‐2TRZ as a dopant displays an optimal external quantum efficiency of 27.1 % and a low efficiency roll‐off. [ABSTRACT FROM AUTHOR]

An improved Hulburt‐Hirschfelder (IHH) quantum mechanical anharmonic oscillator model which describes the exact analytical potential energy curves (PECs) of diatomic molecules is presented. The IHH analytical potential function that involves a variable parameter, four empirically determined low‐order molecular vibrational and rotational spectral constants and the dissociation energy was applied to the ground electronic states of HF and HCl, yielding a good agreement between the Rydberg‐Klein‐Rees (RKR) potential energy points and the calculations. Correspondingly, with the determined IHH PECs, the partition functions at temperatures 300–6000 Kelvin (K) and rovibrational line intensities are evaluated, and coincide well with those quoted in the HITRAN2020 database compilation. The methodology could be valuable for the detection of molecules in interstellar clouds using infrared spectroscopy, as well as thermochemical reactions. [ABSTRACT FROM AUTHOR]

Tea, Camellia sinensis (L) O. Kuntze, is the most popular non‐alcohol beverage and has over a thousand years of cultivation history. Sustainable tea cultivation is hampered by insect and mite pests and heavily relies on conventional pesticides. However, such management strategies can cause environmental pollution and insect resistance. Well‐planted tea ecosystem naturally provides a suitable micro‐climatic condition for the prosperity of natural enemies, especially entomopathogenic fungi (EPF) that are susceptible to moisture, temperature and sunlight. Hence, EPF have been widely used in tea plantations for pest management. Here, we summarized the approaches of research pertaining to EPF diversity in ecosystems. We also describe the general infection process and discuss the environmental factors that impact EPF efficiency. Finally, we listed the successful cases of EPF in tea pest management. Overall, this review has provided the application status and biological potential of EPF, which will contribute to agricultural productivity, and ecological, economic and social sustainability in the tea ecosystem. [ABSTRACT FROM AUTHOR]

Perovskite light‐emitting didoes (PeLEDs) have shown considerable potential in solution‐processable display applications. However, the performance of blue PeLEDs in terms of efficiency and stability hinders their practicality on account of severe trap‐mediated nonradiative recombination losses and halide phase segregation. To ameliorate these issues, mixed‐halide sky‐blue perovskite materials are strategically modulated through crystal defect passivation with a trifurcate isocyanate oligomer, which leads to the synergistical suppression of charge trap density and halide ion migration. The proposed approach enables the performance improvement for sky‐blue PeLEDs, exhibiting a peak external quantum efficiency of 14.82% and spectrally stable emission at 487 nm. In addition, prolonged operational lifetime and enhanced capability of moisture resistance are achieved simultaneously, approaching a half‐lifetime of ≈2900 s at an initial brightness of 178 cd m–2. [ABSTRACT FROM AUTHOR]

Through the comprehensive analysis of ab initio and experimental results of a large number of diatomic systems, the systematic deviation of ab initio method in vibrational energies prediction caused by physical/mathematical simplification is located. A joint ab initio and machine learning method based on information across molecules is proposed to deal with the problem. Starting from an ab initio model, and then systematically modifying it through machine learning, the vibrational energies prediction of many diatomic systems (SiC, HBr, NO, PC, N2, SiO, O2, ClF, etc.) have been improved, and significantly surpassed the more complex ab initio model. In addition to the improvement of accuracy, the new method also greatly reduces the computational expense, and is applicable for the systems without experimental data. [ABSTRACT FROM AUTHOR]

Aim: Whether or not use of intravenous alteplase in combination with endovascular thrombectomy (EVT) improves outcomes versus EVT alone, for acute stroke patients with large vessel occlusion presenting directly to a comprehensive stroke center, is uncertain. Methods: Six randomized trials exploring this issue were published, and we synthesized this evidence to inform a rapid guideline based on the Guidelines International Network principles and guided by the GRADE approach. Results: We enlisted an international panel that included 4 patient partners and 1 caregiver, individuals from 6 countries. The panel considered low certainty evidence that EVT alone, relative to EVT with intravenous alteplase, possibly results in a small decrease in the proportion of patients that achieve functional independence and possibly a small increase in mortality. Both effect estimates were downgraded twice due to very serious imprecision. The panel also considered moderate certainty evidence that EVT alone probably decreases symptomatic intracranial hemorrhage, versus EVT with alteplase, and combination therapy was more costly than EVT alone. As a result of the low certainty for improved recovery without impairment and mortality for combination therapy versus EVT alone, and moderate certainty for increased harm with combination therapy, the panel made a weak recommendation in favor of EVT alone for stroke patients eligible for both treatments, and initially presenting directly to a comprehensive stroke center that provides both treatments. Conclusions: Consistent with this weak recommendation, optimal patient management will likely often include co‐treatment with intravenous alteplase, depending on local circumstances and patient presentation. [ABSTRACT FROM AUTHOR]

TGF‐β signaling is a key player in tumor progression and immune evasion, and is associated with poor response to cancer immunotherapies. Here, we identified ubiquitin‐specific peptidase 8 (USP8) as a metastasis enhancer and a highly active deubiquitinase in aggressive breast tumors. USP8 acts both as a cancer stemness‐promoting factor and an activator of the TGF‐β/SMAD signaling pathway. USP8 directly deubiquitinates and stabilizes the type II TGF‐β receptor TβRII, leading to its increased expression in the plasma membrane and in tumor‐derived extracellular vesicles (TEVs). Increased USP8 activity was observed in patients resistant to neoadjuvant chemotherapies. USP8 promotes TGF‐β/SMAD‐induced epithelial‐mesenchymal transition (EMT), invasion, and metastasis in tumor cells. USP8 expression also enables TβRII+ circulating extracellular vesicles (crEVs) to induce T cell exhaustion and chemoimmunotherapy resistance. Pharmacological inhibition of USP8 antagonizes TGF‐β/SMAD signaling, and reduces TβRII stability and the number of TβRII+ crEVs to prevent CD8+ T cell exhaustion and to reactivate anti‐tumor immunity. Our findings not only reveal a novel mechanism whereby USP8 regulates the cancer microenvironment but also demonstrate the therapeutic advantages of engineering USP8 inhibitors to simultaneously suppress metastasis and improve the efficacy of cancer immunotherapy. Synopsis: TGF‐β signaling is a key factor in tumor progression and is associated with poor response to cancer immunotherapy. This work shows that pharmacologically targeting the deubiquitinase USP8 can antagonise TGF‐β/SMAD signalling and improve the efficacy of cancer immunotherapy USP8 is a metastasis enhancer that directly deubiquitinates and stabilises TGF‐β receptor TβRII, thereby promoting TGF‐β/SMAD signaling.Gain of USP8 function promotes the secretion of TβRII+ circulating extracellular vesicles that induce CD8+ T cell exhaustion.Pharmacological inhibition of USP8 represses TGF‐β signalling and inhibits cancer progression.USP8 inhibition alleviates CD8+ T cell exhaustion and improves the efficacy of breast cancer immunotherapy. [ABSTRACT FROM AUTHOR]

Microbes with complex functions have been found to be a potential component in tumor microenvironments. Due to their low biomass and other obstacles, intratumor microbiota is poorly understood. Mucosal sites and normal adjacent tissues are important sources of intratumor microbiota, while hematogenous spread also leads to the invasion of microbes. Intratumor microbiota affects the progression of tumors through several mechanisms, such as DNA damage, activation of oncogenic pathways, induction of immunosuppression, and metabolization of drugs. Notably, in different types of tumors, the composition and abundance of intratumor microbiota are highly heterogeneous and may play different roles in the progression of tumors. Because of the concern in this field, several techniques such as omics and immunological methods have been used to study intratumor microbiota. Here, recent progress in this field is reviewed, including the potential sources of intratumor microbiota, their functions and related mechanisms, and their heterogeneity. Techniques that can be used to study intratumor microbiota are also discussed. Moreover, research is summarized into the development of strategies that can be used in antitumor treatment and prospects for possible future research in this field. [ABSTRACT FROM AUTHOR]

Members of the GE81112 family are interesting candidates for the development of antibiotics. The configuration of the OH group on the pipecolic acid moiety plays a pivotal role in antibiotic activity. To investigate the stereoselectivity of the corresponding hydroxylase GetF, involved in the biosynthetic pathway, we synthesized the two deuterium‐labeled pipecolic acid diastereomers in a highly stereoselective fashion via chelate‐enolate Claisen rearrangement. The stereochemical outcome of the enzymatic hydroxylation step could easily be determined by analysis of mass differences between the products. [ABSTRACT FROM AUTHOR]

Plasmonic metal electrodes with subwavelength nanostructures are promising for enhancing light harvesting in photovoltaics. However, the nonradiative damping of surface plasmon polaritons (SPPs) during coupling with sunlight results in the conversion of the excited hot‐electrons to heat, which limits the absorption of light and generation of photocurrent. Herein, an energy recycling strategy driven by hot‐electron emission for recycling the SPP energy trapped in the plasmonic electrodes is proposed. A transparent silver‐based plasmonic metal electrode (A‐PME) with a periodic hexagonal nanopore array is constructed, which is combined with a luminescent organic emitter for radiative recombination of the injected hot‐electrons. Owing to the suppressed SPP energy loss via broadband hot‐electron emission, the A‐PME achieves an optimized optical transmission with an average transmittance of over 80% from 380 to 1200 nm. Moreover, the indium‐tin‐oxide‐free organic solar cells yield an enhanced light harvesting with a power conversion efficiency of 16.1%. [ABSTRACT FROM AUTHOR]

A one‐pot protocol for constructing 1,4‐difunctionalized quinoline/pyridine derivatives via the reaction of N‐heteroaromatics, alkyl halides, and active methylene/methyl compounds was developed. The transformation involves dearomative functionalization of an in situ‐activated N‐heteroaromatic to construct new C−N and C=C bonds. This reaction has a broad substrate scope and functional group tolerance. [ABSTRACT FROM AUTHOR]

Selective Catalytic Reduction of nitrogen oxides with NH3 (NH3‐SCR) is the dominant denitration technology for the treatment of nitrogen oxides produced by thermal power plants. Denitration catalysts are the core of the NH3‐SCR system, which can be fabricated into shaped forms to obtain necessary mechanical strength for industrial applications. Specifically, the monolithic catalysts are widely used due to its unique structural properties and high conversion rate. Therefore, this review critically summarized the development of the monolithic catalysts forming, and characterized the influence of the different carriers, the various additives and different reaction conditions of forming process for NH3‐SCR. The purpose of this review is to highlight: (1) the Support effect of the different carriers; (2) the influence of mechanical properties of the various forming additives for the monolithic catalysts; and (3) the physicochemical properties of the monolithic catalysts under the different process conditions and illustrate their relations to catalytic performances. Finally, we hope that this work can give timely technical guidance and valuable insights for the applications of the NH3‐SCR in the field of NOx control. [ABSTRACT FROM AUTHOR]

In the tumor microenvironment, T cells, B cells, and many other cells play important and distinct roles in anti‐tumor immunotherapy. Although the immune checkpoint blockade and adoptive cell transfer can elicit durable clinical responses, only a few patients benefit from these therapies. Increased understanding of tumor‐infiltrating immune cells can provide novel therapies and drugs that induce a highly specific anti‐tumor immune response to certain groups of patients. Herein, the recent research progress on tumor‐infiltrating B cells and T cells, including CD8+ T cells, CD4+ T cells, and exhausted T cells and their role in anti‐tumor immunity, is summarized. Moreover, several anti‐tumor therapy approaches are discussed based on different immune cells and their prospects for future applications in cancer treatment. [ABSTRACT FROM AUTHOR]