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The emergence of connected and automated vehicles (CAV) indicates improved traffic mobility in future traffic transportation systems. This study addresses the research gap in macroscopic traffic modeling of mixed traffic networks where CAV and human-driven vehicles coexist. CAV behavior is explicitly included in the proposed traffic network model, and the vehicle number non-conservation problem is overcome by describing the approaching and departure vehicle number in discrete time. The proposed model is verified in typical CAV cooperation scenarios. The performance of CAV coordination is analyzed in road, intersection and network scenario. Total travel time of the vehicles in the network is proved to be reduced when coordination is applied. Simulation results validate the accuracy of the proposed model and the effectiveness of the proposed algorithm. [ABSTRACT FROM AUTHOR]

Key message: A stable QTL, GW3, controlling grain width was identified in two populations. Its causal gene LOC_Os03g04680 was verified by gene-based haplotype analysis, expression analysis, gene knockout and complementation transgenic tests. Grain width (GW) is one of the key traits affecting grain size and determines grain yield and appearance quality in rice. Mining gene loci and elite alleles controlling GW is necessary. The GW phenotypes of the two populations were investigated in three environments, which showed abundant phenotypic variation. GW3, encoding a P450 subfamily protein, was identified and validated as a causal gene by gene-based haplotype analysis, expression analysis, gene knockout and complementation transgenic tests. The accessions with large GW values had high gene expression levels. In addition, the GW of the accessions with the GG allele was significantly greater than that of the accessions with the AA allele. The Hap 1 and Hap 3 were identified as elite haplotypes, which can increase GW. The expression levels of OsKO1, OsGA3ox1, OsGA20ox1 and OsGA20ox2 in the young panicle of A7444 were significantly greater than those in the young panicle of the mutants, indicating that GW3 may be involved in the gibberellins (GA) biosynthesis pathway to regulate GW. GA4 content detection and electron scanning analysis revealed that GA4 regulates GW by affecting glume cell size. These results provide new insights for studying the genetic mechanism of rice GW and provide a material basis for breeding high-yield rice varieties. [ABSTRACT FROM AUTHOR]

Pyracantha fortuneana (P. fortuneana), as a medicinal and edible plant resource, is rich in nutrients. In order to screen the high quality yeast used in Firebone fruit wine, 12 strains of yeast were isolated and purified from P. fortuneana fermentation broth by traditional pure culture method. They were identified by molecular biology as Pichia kudriavzevii (P. kudriavzevii) and Saccharomyces cerevisiae (S. cerevisiae), respectively. Strain HJ–2 could grow normally at 30℃, alcohol content 15%, SO2 mass concentration 360 mg/L, pH 3.2, sucrose mass concentration 400 g/L and glucose mass concentration 250 g/L. Strain HJ–6 could grow normally at 30℃, alcohol content 3%, SO2 concentration 360 mg/L, pH 3.2, sucrose concentration 250 g/L, glucose concentration 300 g/L. Based on the technological characteristics of fruit wine, S. cerevisiae HJ–2 has the potential of brewing P. fortuneana fruit wine. P. kudriavzevii HJ–6 has a low tolerance to ethanol and is suitable for the production of fermented beverages such as low–alcohol wine or beer. [ABSTRACT FROM AUTHOR]

In this study, a novel mixed stellite coating made from the 30% Stellite 3 and 70% Stellite 21 is deposited on H13 alloy using laser cladding technology, aiming at improving the micro-hardness and wear properties compared to Stellite 21. The microstructures of the mixed Stellite coating and Stellite 21 coating are examined using optical microscopy, scanning electron microscopy, and energy-dispersive spectrometer. The wear resistance of both Stellite coatings is evaluated by dry sliding wear test method. The results demonstrate that the Stellite 21 coating is composed of γ-Co, Co3Mo interdendritic phase and M23C6 carbide, while the mixed Stellite coating is only composed of γ-Co and M7C3 carbide-enriched W and Mo. The mixed Stellite coating exhibits superior micro-hardness and wear properties compared to the Stellite 21 coating. [ABSTRACT FROM AUTHOR]

Objectives: To investigate the value of extracellular volume (ECV) fraction and fat fraction (FF) derived from dual- energy CT (DECT) for predicting postpancreatectomy acute pancreatitis (PPAP) after pancreatoduodenectomy (PD). Methods: This retrospective study included patients who underwent DECT and PD between April 2022 and September 2022. PPAP was determined according to the International Study Group for Pancreatic Surgery (ISGPS) definition. Iodine concentration (IC) and FF of the pancreatic parenchyma were measured on preoperative DECT. The ECV fraction was calculated from iodine map images of the equilibrium phase. The independent predictors for PPAP were assessed by univariate and multivariable logistic regression analysis and receiver operating characteristic (ROC) curve analysis. Results: Sixty-nine patients were retrospectively enrolled (median age, 60 years; interquartile range, 55–70 years; 47 men). Of these, nine patients (13.0%) developed PPAP. These patients had lower portal venous phase IC, equilibrium phase IC, FF, and ECV fraction, and higher pancreatic parenchymal-to-portal venous phase IC ratio and pancreatic parenchymal-to-equilibrium phase IC ratio, compared with patients without PPAP. After multivariable analysis, ECV fraction was independently associated with PPAP (odd ratio [OR], 0.87; 95% confidence interval [CI]: 0.79, 0.96; p < 0.001), with an area under the curve (AUC) of 0.839 (sensitivity 100.0%, specificity 58.3%). Conclusions: A lower ECV fraction is independently associated with the occurrence of PPAP after PD. ECV fraction may serve as a potential predictor for PPAP after PD. Clinical relevance statement: DECT-derived ECV fraction of pancreatic parenchyma is a promising biomarker for surgeons to preoperatively identify patients with higher risk for postpancreatectomy acute pancreatitis after PD and offer selective perioperative management. Key Points: PPAP is a complication of pancreatic surgery, early identification of higher-risk patients allows for risk mitigation. Lower DECT-derived ECV fraction was independently associated with the occurrence of PPAP after PD. DECT aids in preoperative PAPP risk stratification, allowing for appropriate treatment to minimize complications. [ABSTRACT FROM AUTHOR]

Of the hitherto over 60 taxonomically identified species in the genus of Pseudo-nitzschia, 26 have been confirmed to be toxigenic. Nevertheless, the acquisition and evolution of the toxin biosynthesis (dab) genes by this extensive group of Pseudo-nitzschia species remains unclear. Through constructing chromosome-level genomes of three Pseudo-nitzschia species and draft genomes of ten additional Pseudo-nitzschia species, putative genomic integration sites for the dab genes in Pseudo-nitzschia species were explored. A putative breakpoint was observed in syntenic regions in the dab gene cluster-lacking Pseudo-nitzschia species, suggesting potential independent losses of dab genes. The breakpoints between this pair of conserved genes were also identified in some dab genes-possessing Pseudo-nitzschia species, suggesting that the dab gene clusters transposed to other loci after the initial integration. A "single acquisition, multiple independent losses (SAMIL)" model is proposed to explain the acquisition and evolution of the dab gene cluster in Pseudo-nitzschia species. A "single acquisition, multiple independent losses (SAMIL)" model is proposed to explain the acquisition and evolution of the domoic acid biosynthesis gene cluster in Pseudo-nitzschia species. [ABSTRACT FROM AUTHOR]

Knowledge Distillation has shown promising results for classifying skin lesions in dermatology images. Traditional knowledge distillation typically involves the student model passively mimicking the teacher model's knowledge. We propose utilizing AdaBoost to enable the student to actively mine the teacher's learning representation for skin lesion classification. This paradigm allows the student to determine the "granularity" in mining the teacher's knowledge. As the student's learning process progresses, it can become challenging to pinpoint specific learning difficulties, especially with potential interference from the teacher. To address this issue, we introduce a variational difficulty mining strategy to reduce the impact of such interference. This strategy involves the distillation module capturing more nuanced classification difficulties by extracting information from the node's l th hops. By maximizing the mutual information between the teacher and student, we effectively filter out noise interference from these nuanced difficulties. Our proposed framework, Variational AdaBoost Knowledge Distillation (VAdaKD), allows the student to actively mine and leverage the teacher's knowledge for improved skin lesion classification. Our proposed method performs satisfactorily on three benchmark datasets: the Dermnet dataset, ISIC 2019 dataset, and HAM10000 dataset, respectively. Specifically, our method shows an improvement of 2–3% over the baseline on the Dermnet dataset and outperforms the best results of the other compared methods by 1%. Experimental results and visualization performance indicate that our proposed method effectively captures the learning difficulties and achieves better visualized t-distributed stochastic neighbor embedding classification results. Our code is available at https://github.com/25brilliant/VAdaKD. [ABSTRACT FROM AUTHOR]

An aerobic, Gram-stain negative bacterium was isolated from sediment samples of Barkol salt lake in Hami City, Xinjiang Uygur Autonomous Region, China, with the number EGI_FJ10229T. The strain is ellipse-shaped, oxidase-negative, catalase-positive, and has white, round, smooth, opaque colonies on marine 2216 E agar plate. Growth occurs at 4.0–37.0 ℃ (optimal:30.0 ℃), pH 7.0–9.0 (optimal: pH 8.0) and NaCl concentration of 0–8.0% (optimal: 3.0%). Phylogenetic analysis based on 16S rRNA gene and genome sequences indicated that the isolated strain should be assigned to the genus Aquibaculum and was most closely related to Aquibaculum arenosum CAU 1616 T. Average nucleotide identity (ANI) and Average amino-acid identity (AAI) values between the type species of the genus Aquibaculum and other related type species were lower than the threshold values recommended for bacterial species. The genomic DNA G + C content of EGI_FJ10229T was 65.41%. The major polar lipids were diphosphatidylglycerol, phosphatidylmethylethanolamine, phosphatidylcholine, phosphatidylethanolamine and unidentified phospholipid. The major fatty acids (> 5%) were C19:0 cyclo ω8c (42.0%) and C18:1ω7c (33.78%). The respiratory quinone identified was Q-10. Differential phenotypic and genotypic characteristics of this strain and species of genus Aquibaculum showed that the strain should be classified as representing a new species belonging to this genus, for which the name Aquibaculum sediminis sp. nov. is proposed. The type strain of the proposed novel species is EGI_FJ10229T (= KCTC 8570 T = GDMCC 1.4598 T). [ABSTRACT FROM AUTHOR]

Copper is relatively low cost and highly abundant compared with the well-studied noble metals such as gold and silver. However, the poor plasmonic and high susceptibility towards oxidation limit the study of its optical properties and applications as well. Herein, copper nanoparticles@polycarbonate (Cu@PC) composites were prepared by using a facile one-step solvothermal method. The Cu@PC composites have strong localized surface plasmon resonances (LSPR) due to that the PC shell can induce the particles to form many-particles system with different particle numbers, which not only lead to overlap and hybridize of the LSPR modes, but also shift the LSPR away from the interband transitions, and the PC layer also prevents the oxidation of Cu nanoparticles. The photothermal conversion efficiency of Cu@PC composites reaches 41.1% under 808 nm continuous wave (CW) laser irradiation which is higher than previously reported Cu nanomaterials that have been reported. Meanwhile, the composites also have high photothermal stability. Moreover, interfacial evaporator is prepared by assembling the Cu@PC composites on scouring sponge as light absorption layer which has > 92.8% absorption in entire solar spectrum range. Its seawater evaporation rate is 3.177 kg·m−2·h−1 with a Eevaporator/Ewater of 5.2. The high evaporation rate interfacial evaporator with low cost, simple, and scalable approach shows great application value in the field of photothermal evaporation. [ABSTRACT FROM AUTHOR]

Objectives: To develop and validate a radiomics-based model for predicting SOX9-positive hepatocellular carcinoma (HCC) using preoperative contrast-enhanced computed tomography (CT) images. Methods: From January 2013 to April 2017, patients with histologically proven HCC who received systemic sorafenib treatment after curative resection were retrospectively enrolled. Radiomic features were extracted from portal venous phase CT images and selected to build a radiomics score using logistic regression analysis. The factors associated with SOX9 expression were selected and combined by univariate and multivariate analyses to establish clinico-liver imaging (CL) model and clinico-liver imaging-radiomics (CLR) model. Diagnostic performance was measured by area under curve (AUC). Overall survival (OS) and recurrence-free survival (RFS) rates were compared using Kaplan-Meier method. Results: A total of 108 patients (training cohort: n = 80; validation cohort: n = 28) were enrolled. Multivariate analyses revealed that the albumin-bilirubin grade and tumor size were significant independent factors for predicting SOX9-positive HCCs and were included in the CL model. The CLR model integrating the radiomics score with albumin-bilirubin grade and tumor size showed better discriminative performance than the CL model with AUCs of 0.912 and 0.790 in the training and validation cohorts. Survival curves for RFS and OS showed that SOX9 expression was closely related to the prognosis of HCC patients. RFS and OS rates were significantly lower in patients with SOX9-positive than SOX9-negative (51.02% vs. 75.00% at 1-year RFS rates; 76.92% vs. 94.94% at 2-year OS rates). Conclusion: Radiomics signatures may serve as noninvasive predictors for SOX9 status evaluation in patients with HCC and may aid in constructing individualized treatment strategies. [ABSTRACT FROM AUTHOR]

The low signal-to-noise ratio (S/N) and single functionality of fluorescence imaging agents have limited their practical applications. Bright two-photon excitation (2PE) imaging probes are highly desirable in vivo with larger imaging depth, minor autofluorescence background, and less photodamage. Herein, we developed responsive aggregated gold nanoparticles (Au NPs) as high contrast 2PE imaging agents, capable of emitting red fluorescence upon excitation of near-infrared (NIR) laser and possessing a high signal-to-noise ratio (S/N of 2,475). By forming aggregates in situ inside tumor tissue, doxorubicin hydrochloride (DOX)-loaded mix-charged gold nanoparticles (DOX-MC-Au NPs) were utilized to act as selective fluorescence imaging probes and precise therapy agents. These high-contrast theranostic agents offer a promising potential for precise cancer imaging and therapy, which might open a new venue to multifunctional and noninvasive theranostics. [ABSTRACT FROM AUTHOR]

Hydrogen sulfide is essential in numerous physiological and pathological processes and has emerged as a promising cancer imaging and signaling molecule and a potentially versatile therapeutic agent. However, the endogenous levels of hydrogen sulfide remain insufficient to perform its biological functions, and thus, developing novel strategies that amplify hydrogen sulfide signals at lesion sites is of increasing interest. In this work, a nanoplatform (SNP) based on hydrogen sulfide-responsive self-immolative poly(thiocarbamate) with localized hydrogen sulfide signal amplification capability is developed to encapsulate a hydrogen sulfide-responsive fluorescent probe (e.g., hemicyanine dye; p-Cy) or an anticancer prodrug (e.g., doxorubicin; p-DOX) to form a nanoprobe (SNPp-Cy) or nanomedicine (SNPp-DOX) for cancer imaging and therapy, respectively. SNPp-Cy exhibits a low detection limit for hydrogen sulfide, enabling ultrasensitive detection of small (<2 mm) tumors in female mice. In addition, SNPp-DOX can effectively inhibit the growth of DOX-resistant human breast cancer xenograft, lung metastasis, and patient-derived xenograft tumors in female mice. Hydrogen sulfide is essential in many biological processes and a promising cancer imaging and signalling molecule and therapeutic agent, but the potential applications are hindered by its low endogenous levels. Here, the authors develop a nanoplatform based on H2S-responsive self-immolative poly(thiocarbamate) with localized H2S signal amplification capability and use the nanoplatform to encapsulate an H2S-responsive fluorescent probe or an anticancer prodrug. [ABSTRACT FROM AUTHOR]

Learning modality-fused representations and processing unaligned multimodal sequences are meaningful and challenging in multimodal emotion recognition. Existing approaches use directional pairwise attention or a message hub to fuse language, visual, and audio modalities. However, these fusion methods are often quadratic in complexity with respect to the modal sequence length, bring redundant information and are not efficient. In this paper, we propose an efficient neural network to learn modality-fused representations with CB-Transformer (LMR-CBT) for multimodal emotion recognition from unaligned multi-modal sequences. Specifically, we first perform feature extraction for the three modalities respectively to obtain the local structure of the sequences. Then, we design an innovative asymmetric transformer with cross-modal blocks (CB-Transformer) that enables complementary learning of different modalities, mainly divided into local temporal learning, cross-modal feature fusion and global self-attention representations. In addition, we splice the fused features with the original features to classify the emotions of the sequences. Finally, we conduct word-aligned and unaligned experiments on three challenging datasets, IEMOCAP, CMU-MOSI, and CMU-MOSEI. The experimental results show the superiority and efficiency of our proposed method in both settings. Compared with the mainstream methods, our approach reaches the state-of-the-art with a minimum number of parameters. [ABSTRACT FROM AUTHOR]

Purpose: The recent focus on the roles of N-linked glycoproteins in carcinogenesis across various malignancies has prompted our exploration of aberrantly expressed glycoproteins responsible for HCC progression and potential therapeutic strategy. Methods: Mass spectrometry was applied to initially identify abnormally expressed glycoproteins in HCC, which was further assessed by immunohistochemistry (IHC) staining. The role of selected glycoprotein on HCC development and underlying mechanism was systematically investigated by colony formation, mouse xenograft, RNA-sequencing and western blot assays, etc. Chromatin immunoprecipitation (ChIP) and luciferase assays were performed to explore potential transcription factors (TFs) of selected glycoprotein. The regulation of repaglinide (RPG) on expression of lumican and downstream effectors was assessed by western blot and IHC, while its impact on malignant phenotypes of HCC was explored through in vitro and in vivo analyses, including a murine NASH-HCC model established using western diet and carbon tetrachloride (CCl4). Results: Lumican exhibited upregulation in both serum and tumor tissue, with elevated expression associated with an inferior prognosis in HCC patients. Knockdown of lumican resulted in significantly reduced growth of HCC in vitro and in vivo. Mechanically, lumican promoted HCC malignant phenotypes by inhibiting the p53/p21 signaling pathway. Forkhead Box O3 (FOXO3) was identified as the TF of lumican that transcriptionally enhanced its expression. Without silencing FOXO3, RPG blocked the binding of FOXO3 to the promoter region of lumican, thereby inhibiting the activation of lumican/p53/p21 axis. Mice treated with RPG developed fewer and smaller HCCs than those in the control group at 24 weeks after establishment. Conclusion: Our results indicate that RPG prevented the development and progression of HCC via alteration of FOXO3/lumican/p53 axis. [ABSTRACT FROM AUTHOR]

Thiophene is the organic sulfur with good thermal stability in carbon-based fuel, clarifying the conversion mechanism between thiophene and COS is beneficial for achieving in-situ sulfur fixation during CO2 gasification of carbon-based fuels, but the mechanism has rarely been reported. Therefore, calculations based on density functional theory were performed and 16 reaction paths were proposed in this research, clarifying the decomposition mechanism of thiophene and re-fixation mechanism of COS. The attachment of CO2 will lead to the destruction of the thiophene ring and the generation of COS, and CO2 adsorption is the rate-determined step, while the carbon atom that adjacent sulfur atom is the reaction active site. However, the energy barriers of CO2 addition reactions are lower than those of CO2 adsorption reactions, and the energy barrier of reactions occurring on the aliphatics are lower than that occurring on the aromatics. The combination of CO2 and thiophene will thermodynamically lead to the generation of COS and CO. Moreover, gaseous sulfur generated from thiophene decomposition will be converted mutually, while H2S will not be converted into COS. Furthermore, COS will be captured by char, forming solid organic sulfur. The re-fixation of COS will occur on aliphatic chains from the decomposition of aromatics. [ABSTRACT FROM AUTHOR]

In this paper, we consider the problem of how to alleviate the conditional independence assumption of naive Bayes. We try to find an equivalent set of variables for the attributes of the class such that these variables are nearly conditionally independent. For the case that all attributes are continuous variables, we put forward the theory of class-weighting supervised principal component analysis (CWSPCA) to improve naive Bayes. For the categorical case, we construct the equivalent variables by rearranging the values of the attributes, and propose the decremental association rearrangement (DAR) algorithm and its multiple version (MDAR). Finally, we make a benchmarking study to show the performance of our methods. The experimental results reveal that naive Bayes can be greatly improved by means of properly transforming the original attributes. [ABSTRACT FROM AUTHOR]

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During brain development, neural circuits undergo major activity-dependent restructuring. Circuit wiring mainly occurs through synaptic strengthening following the Hebbian "fire together, wire together" precept. However, select connections, essential for circuit development, are transient. They are effectively connected early in development, but strongly diminish during maturation. The mechanisms by which transient connectivity recedes are unknown. To investigate this process, we characterize transient thalamocortical inputs, which depress onto somatostatin inhibitory interneurons during development, by employing optogenetics, chemogenetics, transcriptomics and CRISPR-based strategies in mice. We demonstrate that in contrast to typical activity-dependent mechanisms, transient thalamocortical connectivity onto somatostatin interneurons is non-canonical and involves metabotropic signaling. Specifically, metabotropic-mediated transcription, of guidance molecules in particular, supports the elimination of this connectivity. Remarkably, we found that this process impacts the development of normal exploratory behaviors of adult mice. In contrast to typical strengthening of developing circuits, thalamocortical inputs are transient on somatostatin neurons. Here the authors show this process involves transcriptional regulation from metabotropic signaling, which controls the proper development of mouse behaviors. [ABSTRACT FROM AUTHOR]

Pancreatic cancer is difficult to manage owing to the challenges involved in its treatment and nursing. This study aimed to clarify the roles and mechanisms of action of Poly (A)-binding protein cytoplasmic 1 (PABPC1) on pancreatic cancer. The expression of PABPC1 in pancreatic cancer tissues and cell lines was detected using RT-qPCR and western blotting. The effects of PABPC1 on proliferation, apoptosis, epithelial-mesenchymal transition (EMT), and the PI3K/AKT signaling pathway in pancreatic cancer cells were further investigated using MTT assays, flow cytometry, and western blotting. The expression of PABPC1 was significantly upregulated in pancreatic cancer tissues and cells, whereas PABPC1 downregulation inhibited pancreatic cancer cell proliferation, induced apoptosis, decreased the expression of EMT-associated proteins, and exerted a regulatory effect by inhibiting the PI3K/AKT signaling pathway. In addition, the findings indicated that PABPC1 over-expression significantly promoted pancreatic cancer cell proliferation, inhibited apoptosis, decreased the expression of E-cadherin, enhanced N-cadherin expression, and activating the PI3K/AKT signaling pathway. PABPC1 silencing significantly inhibited proliferation and EMT and induced apoptosis in pancreatic cancer cells. These findings provide novel insights into the role of PABPC1 in the development of pancreatic cancer. [ABSTRACT FROM AUTHOR]

Yeast, which plays a pivotal role in the brewing, food, and medical industries, exhibits a close relationship with human beings. In this study, we isolated and purified 60 yeast strains from the natural fermentation broth of Sidamo coffee beans to screen for indigenous beneficial yeasts. Among them, 25 strains were obtained through morphological characterization on nutritional agar medium from Wallerstein Laboratory (WL), with molecular biology identifying Saccharomyces cerevisiae strain YBB-47 and the remaining 24 yeast strains identified as Pichia kudriavzevii. We investigated the fermentation performance, alcohol tolerance, SO2 tolerance, pH tolerance, sugar tolerance, temperature tolerance, ester production capacity, ethanol production capacity, H2S production capacity, and other brewing characteristics of YBB-33 and YBB-47. The results demonstrated that both strains could tolerate up to 3% alcohol by volume at a high sucrose mass concentration (400 g/L) under elevated temperature conditions (40 ℃), while also exhibiting a remarkable ability to withstand an SO2 mass concentration of 300 g/L at pH 3.2. Moreover, S. cerevisiae YBB-47 displayed a rapid gas production rate and strong ethanol productivity. whereas P. kudriavzevii YBB-33 exhibited excellent alcohol tolerance. Furthermore, this systematic classification and characterization of coffee bean yeast strains from the Sidamo region can potentially uncover additional yeasts that offer high-quality resources for industrial-scale coffee bean production. [ABSTRACT FROM AUTHOR]

Rationale and objectives: The study aimed to investigate whether dynamic contrast-enhanced MRI parameters and preoperative radiological features (DCER-Features) add value to the clinicopathologic model for predicting metachronous metastases in rectal cancer patients. Materials and methods: From January 2014 to December 2020, 859 patients in the PACS system were retrospectively screened. Of the initial 722 patients with surgically confirmed rectal cancer and no synchronous metastases, 579 patients were excluded for various reasons such as lack of clinicopathological or radiological information. 143 patients were finally included in this study. And 73 Patients of them developed metachronous metastasis within five years. After stepwise multiple regression analyses, we constructed three distinct models. Model 1 was developed solely based on clinicopathological factors, and model 2 incorporated clinicopathological characteristics along with DCE-MRI parameters. Finally, model 3 was built on all available factors, including clinicopathological characteristics, DCE-MRI parameters, and radiological features based on rectal magnetic resonance imaging. The radiological features assessed in this study encompass tumor imaging staging, location, and circumferential resection margin (CRM) for primary tumors, as well as the number of visible lymph nodes and suspected metastatic lymph nodes. Receiver operating characteristic (ROC) and decision curve analysis (DCA) were conducted to evaluate whether the diagnostic efficiency was improved. Results: The performance of model 3 (including clinicopathologic characteristics and DCER-Features) was the best (AUC: 0.856, 95% CI 0.778–0.886), whereas it was 0.796 (95% CI 0.720–0.828) for model 2 and 0.709 (95% CI 0.612–0.778) for model 1 (DeLong test: model 1 vs model 2, p = 0.004; model 2 vs model 3, p = 0.037; model 1 vs model 3, p < 0.001). The decision curves indicated that the net benefit of model 3 was higher than the other two models at each referral threshold. The calibration plot of the three models revealed an excellent predictive accuracy. Conclusion: This study suggests that DCER-Features have added value for the clinicopathological model to predict metachronous metastasis in patients with rectal cancers. [ABSTRACT FROM AUTHOR]

The microstructure and electrocatalytic activity for oxygen reduction reaction of La1.2Sr0.8NiO4-δ electrodes were examined as a function of electrode thickness. The length of catalytically active region and optimal thickness of La1.2Sr0.8NiO4-δ electrode at 800 °C were gauged to be about 2 and 10 μm, respectively. Varying amounts of Ce0.8Sm0.2O1.9 were infiltrated into the electrodes with the optimal thickness. The phase structure, microstructure and electrocatalytic properties of the infiltrated electrodes were investigated with respect to infiltrate loading and the history of cathodic polarization under different conditions. It was demonstrated that infiltrating an appropriate amount of Ce0.8Sm0.2O1.9 into the electrode helped to improve the electrode performance, not only enhancing the electrocatalytic activity but also alleviating the degradation of the electrode property after experiencing cathodic polarization. The mechanisms underneath the beneficial effect were explained in relation to the microstructure of the infiltrated electrodes. The electrode infiltrated with 12 vol% Ce0.8Sm0.2O1.9 showed a low polarization resistance of 0.049 Ω·cm2 at 800 °C, while the increment of the polarization resistance of the infiltrated electrode after experiencing cathodic polarization was nearly half that of the pristine electrode after being likewise polarized. [ABSTRACT FROM AUTHOR]

Reliable indicators that can predict drug responsiveness in primary immune thrombocytopenia (ITP) patients are urgent. We aimed to establish a reference interval of percentage of immature platelet fraction (IPF%) and absolute immature platelet count (A-IPC), and assess their efficacy in discriminating ITP patients from controls, especially their predictive value for responsiveness to drug treatment. We retrospectively studied 72 treatment-naive adult patients with ITP who received Dexamethasone monotherapy or combination therapy. Baseline (pretreatment) information was collected from medical records. Reference intervals for A-IPC and IPF% were established based on controls and their effectiveness in discriminating ITP patients from controls was assessed. Predictive value of pretreatment IPF% and A-IPC at four co-primary endpoints of treatment response in patients were investigated. The 95% reference intervals for A-IPC and IPF% were (2.7–15.6) × 109/L and 1.2%–7.3%, respectively. Both A-IPC and IPF% had excellent discrimination ability for ITP patients from controls. It showed highly statistically significant differences in pretreatment A-IPC for predicting treatment response at day 7 between responders and non-responders, but not at days 14, 21 and 28. Pretreatment A-IPC had the higher area under the ROC curve with a cut-off of 0.86 than that of IPF% with a cut-off of 14.5% in predicting the treatment response in ITP patients at day 7. Pretreatment A-IPC exhibited acceptable predictive power and could be a promising predictor of response to short-term Dexamethasone monotherapy or combination therapy at day 7 in ITP patients. [ABSTRACT FROM AUTHOR]

Microalgae are rich in fatty acids, proteins, and other nutrients, which have gained the general attention of researchers all over the world. For the development of Chlorella vulgaris in food and feed industry, this study was conducted to investigate the differences in C. vulgaris' growth and nutritional components under different culture conditions (autotrophic, heterotrophic, photoheterotrophic) and the internal factors through cell counting in combination with transcriptome and nutrient analyses. The results showed that, under the photoheterotrophic condition, Chlorella's growth and the contents of lipid and protein were significantly higher than that under the heterotrophic condition, and the moisture content was lower than that under the heterotrophic condition. The saturated fatty acid content under the photoheterotrophic condition was the lowest, while the polyunsaturated fatty acid content was significantly higher than those under the other two conditions. There were 46,583 differentially expressed genes (DEGs), including 33,039 up-regulated DEGs (70.93%) and 13,544 down-regulated DEGs (29.07%), under the photoheterotrophic condition in comparison with the autotrophic condition. The fold change between the two conditions of samples of up-regulated genes was higher than that of the down-regulated genes. The KEGG enrichment showed that the up-regulated DEGs in the photoheterotrophic condition were significantly enriched in 5 pathways, including protein processing in endoplasmic reticulum pathway, photosynthesis pathway, photosynthesis-antenna protein pathway, endocytosis pathway, and phosphonate and phosphinate metabolism pathway. DEGs related to fatty acid metabolic pathways were significantly enriched in the fatty acid biosynthesis pathway and the biosynthesis of unsaturated fatty acid pathway. The qPCR analysis showed that the expression pattern of the selected genes was consistent with that of transcriptome analysis. The results of this study lay a theoretical foundation for the large-scale production of Chlorella and its application in food, feed, and biodiesel. Key points: • Nutrient levels under photoheterotrophic condition were higher than other conditions. • Six important pathways were discovered that affect changes in nutritional composition. • Explored genes encode important enzymes in the differential metabolic pathways. [ABSTRACT FROM AUTHOR]

Covalent organic frameworks (COFs) are ideal templates for constructing metal-free catalysts for the oxygen reduction reaction due to their highly tuneable skeletons and controllable porous channels. However, the development of highly active sites within COFs remains challenging due to their limited electron-transfer capabilities and weak binding affinities for reaction intermediates. Herein, we constructed highly active catalytic centres by modulating the electronic states of the pyridine nitrogen atoms incorporated into the frameworks of COFs. By incorporating different pyridine units (such as pyridine, ionic pyridine, and ionic imidazole units), we tuned various properties including dipole moments, reductive ability, hydrophilicity, and binding affinities towards reaction intermediates. Notably, the ionic imidazole COF (im-PY-BPY-COF) exhibited greater activity than the neutral COF (PY-BPY-COF) and ionic pyridine COF (ion-PY-BPY-COF). Specifically, im-PY-BPY-COF demonstrated a half-wave potential of 0.80 V in 0.1 M KOH, outperforming other metal-free COFs. Theoretical calculations and in situ synchrotron radiation Fourier transform infrared spectroscopy confirmed that the carbon atoms in the ionic imidazole rings improved the activity by facilitating binding of the intermediate OOH* and promoting the desorption of OH*. This study provides new insights into the design of highly active metal-like COF catalysts. The catalytic efficacy of covalent organic frameworks (COFs) is constrained by their restricted electro-transfer capability and weak binding affinities for reaction intermediates. Here the authors report COFs with various pyridinic-based units for tuning their catalytic activity towards oxygen reduction reaction. [ABSTRACT FROM AUTHOR]

Background: Tumor deposits (TDs) are a special metastatic pattern of colorectal cancer (CRC). This study aims to explore the pathological characteristics of TD and find out the risk factors of TD in CRC. Methods: TDs cases of CRC were selected and validated by HE staining. The correlation between TDs and T stages, N stages, and microsatellite instability was calculated by the chi-squared (χ2) test. Results: A total of 2553 patients with colorectal cancer undergoing intestinal resection were included in this study. Two hundred fifty-nine cases of TDs patients were included. The positive rate of TDs was 1.9% (2/105) in T1, 3.8% (10/266) in T2, 11% (231/2305) in T3, and 22.8% (16/77) in T4. T3 and T4 were more prone to TDs than T1 and T2, but there was no difference between T3 and T4. The positive rate of TDs was 7.2% (107/1491) in N0, 14.3% (152/1062) in N + , and N + was more prone to TDs than N0. The positive rate of TDs was 10.5% (256/2432) in MSS, 2.5% (3/121) in MSI, and MSS was more prone to TDs than MSI. Multivariate analysis showed lymph node invasion, T stage, and MSS were independent risk factors for TDs. Conclusion: Lymph node invasion, T stage, and MSS were independent risk factors for TDs. [ABSTRACT FROM AUTHOR]

The high tendency of bio-oil towards polymerization renders bio-oil with the application as the precursor for carbon materials. However, the pathway of the cross-polymerization of the major components of bio-oil was still unclear. Therefore, the cross-polymerization of furfural and the typical carbohydrates (monosaccharides and oligosaccharides) in bio-oil was studied. The results suggested that the cross-polymerization between furfural and sugars existed and proceeded to a significant extent, producing a much higher yield solid polymer than that of single feedstock and the soluble polymers with the varied π-conjugated structure. In addition, the characterization also indicated that the polymerization of furfural was accompanied with the substantial deoxygenation reactions such as dehydration, forming the polymer with a higher carbon content than that from the sugars. Although sugars contain multiple hydroxyl group, the dehydration reactions for elimination of the hydroxyl group did not take place to a remarkable extent during the polymerization, retaining significant hydrogen and oxygen content of polymer. In addition, the cross-polymerization of furfural and the sugars significantly changed the elemental composition, functionalities, thermal stability, and morphologies of the polymer, owing to the varied pathway from the polymerization of the single feedstock. [ABSTRACT FROM AUTHOR]

In this paper, a nontoxic and biocompatible hydrogel optic fiber Fe3+ sensor is presented. Nitrogen carbon dots (NCDs) as fluorescence indicators are prepared by a one-step hydrothermal method using citric acid as the carbon source and urea as the nitrogen source. Transmission electron microscopy images and x-ray diffraction analysis show that the average size of the NCDs is 3.94 nm, and they have an amorphous structure. X-ray photoelectron spectroscopy shows that nitrogen is effectively doped into the framework of the NCDs. The hydrogel optical fiber with a core-cladding structure is fabricated using different concentrations of polyethylene glycol diacrylate as precursor. The NCDs were incorporated into the core of the hydrogel fiber for Fe3+ sensing. NCDs were selectively quenched by Fe3+ diffused into the hydrogel fiber. The sensitivity of the system was optimized by varying the concentration of doped NCDs. The fluorescence intensity decreased with the increase in temperature, with the greatest sensitivity at 24°C. By measuring the fluorescence intensity, the quantitative and selective detection of iron ions was realized in the range of 0–60 um, and the detection limit was 0.802 um. It has good application prospects in the detection of Fe3+ and can realize the detection of implanted biological Fe3+ in vivo. [ABSTRACT FROM AUTHOR]

Understanding the relationship between forest management and water use efficiency (WUE) is important for evaluating forest adaptability to climate change. However, the effects of thinning and understory removal on WUE and its key controlling processes are not well understood, which limits our comprehension of the physiological mechanisms of various management practices. In this study, four forest management measures (no thinning: NT; understory removal: UR; light thinning: LT; and heavy thinning: HT) were carried out in Pinus massoniana plantations in a subtropical region of China. Photosynthetic capacity and needle stable carbon isotope composition (δ13C) were measured to assess instantaneous water use efficiency (WUEinst) and long-term water use efficiency (WUEi). Multiple regression models and structural equation modelling (SEM) identified the effects of soil properties and physiological performances on WUEinst and WUEi. The results show that WUEinst values among the four treatments were insignificant. However, compared with the NT stand (35.8 μmol·mol−1), WUEi values significantly increased to 41.7 μmol·mol−1 in the UR, 50.1 μmol·mol−1 in the LT and 46.6 μmol·mol−1 in HT treatments, largely explained by photosynthetic capacity and soil water content. Understory removal did not change physiological performance (needle water potential and photosynthetic capacity). Thinning increased the net photosynthetic rate (An) but not stomatal conductance (gs) or predawn needle water potential (ψpd), implying that the improvement in water use efficiency for thinned stands was largely driven by radiation interception than by soil water availability. In general, thinning may be an appropriate management measure to promote P. massoniana WUE to cope with seasonal droughts under future extreme climates. [ABSTRACT FROM AUTHOR]

3D nanocake-like Au-MXene and Au pallet (Au-MXene/AuP) nanocomposite–modified screen-printed carbon electrodes (SPCEs) were utilized to construct an ultrasensitive label-free electrochemical aptasensor through a self-assembly procedure for trace paraquat (PQ) residue detection. Benefiting from the excellent electrochemical (EC) performances (e.g., high conductivity and large surface area) of Au-MXene nanocomposites and AuP substrate, the developed Apt/Au-MXene/AuP/SPCE-based EC aptasensor displayed excellent specificity and anti-interference ability, good repeatability, and stability. A linear relationship between the log value of the change in current intensity [lg (ΔI)] and the log value of the concentration of PQ [lg (CPQ)] was obtained in the range 0.05–1000 ng/mL. The limit of detection was 0.028 ng/mL, and the sensitivity was 255.5 μA/(μM·cm2). Practical applications in malt and mint samples confirmed the accuracy of the EC aptasensor in complex matrices for PQ detection, providing a universal analytical tool for other trace pesticides in different food samples by simply replacing the corresponding aptamers. [ABSTRACT FROM AUTHOR]

Purpose: Conventional diagnosis of primary open angle glaucoma (POAG) needs a combination of ophthalmic examinations. An efficient assay is urgently needed for a timely POAG diagnosis. We aim to explore differential expressions of circulating microRNAs (miRNA) and provide novel miRNA biomarkers for POAG diagnosis. Methods: A total of 180 POAG patients and 210 age-related cataract (ARC) patients were enrolled. We collected aqueous humor (AH) and plasma samples from the recruited patients. The expressions of candidate miRNAs were measured using quantitative real time polymerase chain reaction. The diagnostic ability of candidate miRNAs was analyzed by receiver operating characteristic curve. Results: The expressions of miR-21-5p and miR-29b-3p were downregulated significantly in AH and plasma of POAG and miR-24-3p expression was significantly increased in AH and plasma of POAG, comparing with those of ARC. A three-miRNA panel was constructed by a binary logistic regression. And the panel could differentiate between POAG and ARC with an area under the curve of 0.8867 (sensitivity = 78.0%, specificity = 83.3%) in aqueous humor and 0.7547 (sensitivity = 73.8%, specificity = 81.2%) in plasma. Next, we verified the three-miRNA panel working as a potential diagnostic biomarker stable and reliable. At last, we identified related function and regulation pathways in vitro. Conclusions: In conclusion, we built and identified a circulating three-miRNA panel as a potential diagnostic biomarker for POAG. It may be developed into an efficient assay and help improve the POAG diagnosis in the future. [ABSTRACT FROM AUTHOR]

General anesthesia is widely used in various clinical practices due to its ability to cause loss of consciousness. However, the exact mechanism of anesthesia-induced unconsciousness remains unclear. It is generally thought that arousal-related brain nuclei are involved. 5-Hydroxytryptamine (5-HT) is closely associated with sleep arousal. Here, we explore the role of the 5-HT system in anesthetic awakening through pharmacological interventions and optogenetic techniques. Our data showed that exogenous administration of 5-hydroxytryptophan (5-HTP) and optogenetic activation of 5-HT neurons in the dorsal raphe nucleus (DR) could significantly shorten the emergence time of sevoflurane anesthesia in mice, suggesting that regulation of the 5-HT system using both endogenous and exogenous approaches could mediate delayed emergence. In addition, we first discovered that the different 5-HT receptors located in the DR, known as 5-HT autoreceptors, are essential for the regulation of general anesthetic awakening, with 5-HT1A and 5-HT2A/C receptors playing a regulatory role. These results can provide a reliable theoretical basis as well as potential targets for clinical intervention to prevent delayed emergence and some postoperative risks. [ABSTRACT FROM AUTHOR]

Heat stress induces multi-organ damage and serious physiological dysfunction in mammals, and gut bacteria may translocate to extra-intestinal tissues under heat stress pathology. However, whether gut bacteria translocate to the key metabolic organs and impair function as a result of heat stress remains unknown. Using a heat stress-induced mouse model, heat stress inhibited epididymal white adipose tissue (eWAT) expansion and induced lipid metabolic disorder but did not damage other organs, such as the heart, liver, spleen, or muscle. Microbial profiling analysis revealed that heat stress shifted the bacterial community in the cecum and eWAT but not in the inguinal white adipose tissue, blood, heart, liver, spleen, or muscle. Notably, gut-vascular barrier function was impaired, and the levels of some bacteria, particularly Lactobacillus, were higher in the eWAT, as confirmed by catalyzed reporter deposition fluorescence in situ hybridization (CARD-FISH) staining when mice were under heat stress. Moreover, integrated multi-omics analysis showed that the eWAT microbiota was associated with host lipid metabolism, and the expression of genes involved in the lipid metabolism in eWAT was upregulated under heat stress. A follow-up microbial supplementation study after introducing Lactobacillus plantarum to heat-stressed mice revealed that the probiotic ameliorated heat stress-induced loss of eWAT and dyslipidemia and reduced gut bacterial translocation to the eWAT by improving gut barrier function. Overall, our findings suggest that gut bacteria, particularly Lactobacillus spp., play a crucial role in heat stress-induced lipid metabolism disorder and that there is therapeutic potential for using probiotics, such as Lactobacillus plantarum. [ABSTRACT FROM AUTHOR]

The utilization of scale invariant feature transform algorithm in synthetic-aperture radar images (SAR–SIFT) to match image features may lead to principal orientation assignments of descriptors being affected by speckle noise, thereby diminishing accuracy. In this study, we propose using the Fourier histogram of oriented ratio gradient (Fourier HORG) descriptor for robust matching of SAR images. This method is based on the SAR–SIFT algorithm framework. During feature description, the rotation-invariant Fourier HORG descriptor is established by performing Fourier analysis on the ratio gradient in the polar coordinate system, whereby the principal orientation assignment process is avoided and the robustness of SAR image registration improved. A matching experiment was conducted involving four sets of SAR image pairs, and the results demonstrated that our method exhibited higher accuracy and robustness compared to image matching based on the Fourier histogram of oriented gradient (Fourier HOG) descriptor and the SAR–SIFT algorithm, thus confirming the effectiveness of our proposed method. [ABSTRACT FROM AUTHOR]

Environment perception is one of the most critical technology of intelligent transportation systems (ITS). Motion interaction between multiple vehicles in ITS makes it important to perform multi-object tracking (MOT). However, most existing MOT algorithms follow the tracking-by-detection framework, which separates detection and tracking into two independent segments and limit the global efficiency. Recently, a few algorithms have combined feature extraction into one network; however, the tracking portion continues to rely on data association, and requires complex post-processing for life cycle management. Those methods do not combine detection and tracking efficiently. This paper presents a novel network to realize joint multi-object detection and tracking in an end-to-end manner for ITS, named as global correlation network (GCNet). Unlike most object detection methods, GCNet introduces a global correlation layer for regression of absolute size and coordinates of bounding boxes, instead of offsetting predictions. The pipeline of detection and tracking in GCNet is conceptually simple, and does not require complicated tracking strategies such as non-maximum suppression and data association. GCNet was evaluated on a multi-vehicle tracking dataset, UA-DETRAC, demonstrating promising performance compared to state-of-the-art detectors and trackers. [ABSTRACT FROM AUTHOR]

Purpose: Immune checkpoint inhibitors (ICIs) are of great success in cancer therapy. This study aimed to identify adrenal insufficiency (AI) associated with immune checkpoint inhibitor (ICI) treatment in cancer patients receiving steroid replacement therapy and report the clinical characteristics of ICI-associated AI and concurrent immune-associated adverse events (irAEs). Methods: Patients prescribed cortisone acetate between January 2020 and March 2022 were reviewed to identify AI associated with ICI treatment. Data collected included indication of ICI (cancer type), drug characteristics, and outcomes. Results: A total of 101 patients were diagnosed with AI following treatment with ICIs. The median age was 64 years (range 22-83 years); 73.3% of the patients were male. Median time to develop primary AI and secondary AI after starting ICI therapy was 200.5 (35-280) days and 178 (16-562) days, respectively. Concurrent irAEs occurred in 67 (66.3%) patients and included 63 (62.4%) endocrine irAEs. Log-rank test showed that there was a trend toward higher likelihood of death at 120-day follow-up in patients initially receiving intravenous hydrocortisone compared with those receiving oral cortisone acetate after diagnosis of AI (p = 0.029). Conclusion: This retrospective study comprehensively documented the clinical characterization of ICI-associated AI. Those initially receiving intravenous hydrocortisone after diagnosis of AI were associated with higher likelihood of death. Physicians should be aware of the variability of ICI-associated irAEs early in the treatment, early diagnoses, and timely management should be made. [ABSTRACT FROM AUTHOR]

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Quantum decoherence tends to bring about the quantum-to-classical transition via the system–reservoir interaction, which is the main obstacle to the realization of quantum information processing. We propose a scheme to unconditionally create the quantum light source satisfying the nonclassical wave–particle complementary relation in the framework of the quantum theory of second-order coherence. The scheme uses the efficient and controllable two-mode squeezed vacuum reservoir coupled to the combination modes of interest rather than the original cavity modes in the two-level quantum beat laser. We investigate the complementarity of the generated two-mode squeezed state including the dependencies of the visibility and which-path information on the ratio of detuning and decay rate. The visibility is shown to be larger than unity, different from the vanishing which-path information. The resultant complementary reaches the quantum regime without any classical analogue. [ABSTRACT FROM AUTHOR]

In this paper, an adaptive iterative learning control (ILC) design method is proposed for a class of nonlinear discrete-time system with nonaffine structure, randomly varying trail length, and uncertain control direction. In order to achieve repetitive tracking control of the nonaffine structure systems with uncertain control direction, randomly varying trail length, and other uncertainties, we apply a high-order neural network to approximate the expected system input. Then, a novel adaptation law is designed for the neural network weight vector. The main feature of the method proposed in this paper is that the weight vector norm instead of the weight vector itself is updated iteratively to realize the successive approximation of the expected system input, the custom-designed identification mechanism is not necessary to deal with the uncertain control direction, and the analysis of randomly varying trail lengths problem is strictly established. The convergence of the proposed adaptive ILC is set up by a composite energy function. The effectiveness of the proposed adaptive ILC design is validated by two simulation examples. [ABSTRACT FROM AUTHOR]

Purpose: Tumor-infiltrating lymphocytes (TILs) have shown remarkable clinical responses in some patients with advanced solid tumors. As a rare subset of TILs, CD4−/CD8− double-negative T cells (DNTs) were poorly known. This study aims to investigate the characteristics and function of CD3+CD4−CD8− TILs (double-negative TIL, DN-TILs) derived from solid tumor. Methods: DN-TILs were derived and expanded ex vivo from resected gastric carcinoma tissue and phenotyped by flow cytometry. The cytotoxicity of DN-TILs was determined against established tumor cell lines in vitro or through in vivo adoptive transfer into xenograft models. K562 cells were transferred with the HLA gene to verify whether the cytotoxicity of DN-TILs was MHC-independent. Results: Flow cytometric analysis revealed a high-purity population of DN-TILs (> 97%) within CD3+ TILs, which expanded more than 800-folds in 2 weeks, consisting of a mixture of alpha–beta (αβ) and gamma–delta (γδ) T-cell receptor (TCR)—expressing cells (with the majority being αβ-TCR, > 95%). Using single-cell RNA sequencing, the expanded DN-TILs were categorized into four main subsets, Natural Killer T cells (approximately 80%, 5563 in 7028), Progenitor cells, Germ cells and T helper2 cells. DN-TILs exhibited a broad anticancer cytotoxicity in a donor-unrestricted manner against various cancer cell lines derived from pancreatic cancer (Panc-1), gastric cancer (HGC-27), ovarian cancer (SKOV-3), malignant melanoma (A375). The cytotoxicity was MHC-independent, which was not altered in K562 transferring with HLA gene or not. DN-TILs significantly reduced tumor volume in xenograft models with superior tumor-homing ability and low off-target toxicity. Conclusion: Gastric carcinoma derived DN-TIL can target tumor cells in vitro and in vivo. DN-TILs have the potential to be used as a adoptive cell therapy for solid cancers with both the advantages of DNT and TIL. [ABSTRACT FROM AUTHOR]

Compared with the study of single point motion of landslides, studying landslide block movement based on data from multiple monitoring points is of great significance for improving the accurate identification of landslide deformation. Based on the study of landslide block, this paper regarded the landslide block as a rigid body in particle swarm optimization algorithm. The monitoring data were organized to achieve the optimal state of landslide block, and the 6-degree of freedom pose of the landslide block was calculated after the regularization. Based on the characteristics of data from multiple monitoring points of landslide blocks, a prediction equation for the motion state of landslide blocks was established. By using Kalman filtering data assimilation method, the parameters of prediction equation for landslide block motion state were adjusted to achieve the optimal prediction. This paper took the Baishuihe landslide in the Three Gorges reservoir area as the research object. Based on the block segmentation of the landslide, the monitoring data of the Baishuihe landslide block were organized, 6-degree of freedom pose of block B was calculated, and the Kalman filtering data assimilation method was used to predict the landslide block movement. The research results showed that the proposed prediction method of the landslide movement state has good prediction accuracy and meets the expected goal. This paper provides a new research method and thinking angle to study the motion state of landslide block. [ABSTRACT FROM AUTHOR]

Chiral compounds are important drug intermediates that play a critical role in human life. Herein, we report a facile method to prepare multi-enzyme nano-devices with high catalytic activity and stability. The self-assemble molecular binders SpyCatcher and SpyTag were fused with leucine dehydrogenase and glucose dehydrogenase to produce sc-LeuDH (SpyCatcher-fused leucine dehydrogenase) and GDH-st (SpyTag-fused glucose dehydrogenase), respectively. After assembling, the cross-linked enzymes LeuDH-GDH were formed. The crosslinking enzyme has good pH stability and temperature stability. The coenzyme cycle constant of LeuDH-GDH was always higher than that of free double enzymes. The yield of l-tert-leucine synthesis by LeuDH-GDH was 0.47 times higher than that by free LeuDH and GDH. To further improve the enzyme performance, the cross-linked LeuDH-GDH was immobilized on zeolite imidazolate framework-8 (ZIF-8) via bionic mineralization, forming LeuDH-GDH @ZIF-8. The created co-immobilized enzymes showed even better pH stability and temperature stability than the cross-linked enzymes, and LeuDH-GDH@ZIF-8 retains 70% relative conversion rate in the first four reuses. In addition, the yield of LeuDH-GDH@ZIF-8 was 0.62 times higher than that of LeuDH-GDH, and 1.38 times higher than that of free double enzyme system. This work provides a novel method for developing multi-enzyme nano-device, and the ease of operation of this method is appealing for the construction of other multi-enzymes @MOF systems for the applications in the kinds of complex environment. [ABSTRACT FROM AUTHOR]

Aiming at the creation of polymers with attractive dynamic properties, herein, rotaxane-branched dendronized polymers (DPs) with rotaxane-branched dendrons attached onto the polymer chains are proposed. Starting from macromonomers with both rotaxane-branched dendrons and polymerization site, targeted rotaxane-branched DPs are successfully synthesized through ring-opening metathesis polymerization (ROMP). Interestingly, due to the existence of multiple switchable [2]rotaxane branches within the attached dendrons, anion-induced reversible thickness modulation of the resultant rotaxane-branched DPs is achieved, which further lead to tunable thermal and rheological properties, making them attractive platform for the construction of smart polymeric materials. Enriching the toolbox of polymers, the design and construction of novel polymers with desired properties and functions remains an attractive topic in polymer chemistry. Here the authors demonstrate rotaxane-branched dendronized polymers with rotaxane-branched dendrons attached onto the polymer chains as polymers with attractive dynamic properties. [ABSTRACT FROM AUTHOR]

Carbon emission (CE) has led to increasingly severe climate problems. The key to reducing CE is to identify the dominant influencing factors and explore their influence degree. The CE data of 30 provinces from 1997 to 2020 in China were calculated by IPCC method. Based on this, the importance order of six factors included GDP, Industrial Structure (IS), Total Population (TP), Population Structure (PS), Energy Intensity (EI) and Energy Structure (ES) affecting the CE of China's provinces were obtained by using symbolic regression, then the LMDI and the Tapio models were established to deeply explore the influence degree of different factors on CE. The results showed that the 30 provinces were divided into five categories according to the primary factor, GDP was the most important factor, followed by ES and EI, then IS, and the least TP and PS. The growth of per capita GDP promoted the increase of CE, while reduced EI inhibited the increase of CE. The increase of ES promoted CE in some provinces but inhibited in others. The increase of TP weakly promoted the increase of CE. These results can provide some references for governments to formulate relevant CE reduction policies under dual carbon goal. [ABSTRACT FROM AUTHOR]

Background: Tumor-associated macrophages (TAMs) constitute the main infiltrating immune cells in the solid tumor microenvironment. Amounting studies have analyzed the antitumor effect on immune response induced by Toll-like receptor (TLR) agonists, such as lipopolysaccharide (LPS), γ-interferon (γ-IFN), and palmitic Acid (PA). However, their combined treatment for gastric cancer (GC) has not been illuminated. Methods: We investigated the relevance of macrophage polarization and the effect of PA and γ-IFN in GC in vitro and in vivo. M1 and M2 macrophage-associated markers were measured by real-time quantitative PCR and flow cytometry, and the activation level of the TLR4 signaling pathways was evaluated by western blot analysis. The effect of PA and γ-IFN on the proliferation, migration, and invasion of GC cells (GCCs) was evaluated by Cell-Counting Kit-8, transwell assays, and wound-healing assays. In vivo animal models were used to verify the effect of PA and γ-IFN on tumor progression, and the M1 and M2 macrophage markers, CD8 + T lymphocytes, regulatory T cells (Treg) cells, and the myeloid-derived suppressor cells (MDSCs) in tumor tissues were analyzed by flow cytometry and immunohistochemical (IHC). Results: The results showed that this combination strategy enhanced M1-like macrophages and diminished M2-like macrophages through the TLR4 signaling pathway in vitro. In addition, the combination strategy impairs the proliferative and migratory activity of GCC in vitro and in vivo. While, the antitumor effect was abolished using the TAK-424 (a specific TLR-4 signaling pathway inhibitor) in vitro. Conclusions: The combined treatment of PA and γ-IFN inhibited GC progression by modulating macrophages polarization via the TLR4 pathway. [ABSTRACT FROM AUTHOR]

The present study aimed to investigate the response of intestinal microbiota during 3 weeks' starvation of largemouth bass (Micropterus salmoides), an economically important freshwater fish, using 16S rRNA gene amplicon sequencing and PICRUSt2 predictive functional profiling. Overall, the microbiota was mainly represented by Mycoplasma, Pseudomonas, Acinetobacter, and Microbacterium in the initial group. This pattern contrasted with that of Cetobacterium and Aeromonas, which were major representative genera in the starved group. Significant differences in the richness and composition of intestinal microbial community induced by starvation were observed. Notably, earthy-musty off-flavor compounds (geosmin and 2-methylisoborneol) were significantly decreased during starvation, which were significantly correlated with the abundance of certain actinobacterial taxa, namely, Microbacterium and Nocardioides. Additionally, the functional pathways involved in synthesis of off-flavor compounds, protein digestion, fatty acid degradation, and biosynthesis of cofactors greatly decreased with starvation, indicating that microbiota modulated the specific metabolic pathway to adapt to food deprivation. These results emphasize that starvation can modulate diversity, community structure, and functions of the intestinal microbiota and mitigate the off-flavors, which has important implications for strategies to eliminate off-flavor odorants through the application of probiotics to manipulate the gut microbiome and ultimately enhance flesh quality of freshwater fish. [ABSTRACT FROM AUTHOR]

The design of efficient and reliable countermeasures against cracking in massive concrete structures requires fundamental understanding of temperature-dependent creep, especially the basic creep. Since the long-term creep experimental data at different temperatures are rarely available for developing reliable empirical predictive models, the mesoscale simulation approach taking into account concrete heterogeneity offers an alternative approach. Even though such mesoscale simulations cannot be directly applied to the entire massive concrete structures due to computational intractability, it still helps to derive and examine predictive models by simulation of the meso–macro transition for the basic creep at different temperatures. In this paper, consideration is made on the equivalent age and reduced time to identify the impact of temperature on the maturity and viscosity in the mesoscale simulations. The simulation results are validated by experimental creep data at various curing and loading temperatures. The simulated results subsequently provide guidance to modify a macroscopic predictive creep model. The modified predictive model is able to describe the creep behaviour of concrete at various service temperatures based on the basic creep data of mortar at a reference temperature only. [ABSTRACT FROM AUTHOR]