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In recent years, artificial intelligence (AI) has made incredible progress. Advanced foundation models such as ChatGPT can offer powerful conversation, in-context learning, and code generation abilities for a broad range of open-domain tasks. They can also generate high-level solution outlines for domain-specific tasks based on their acquired common-sense knowledge. Nonetheless, they still face difficulties in specialized tasks because they lack sufficient domain-specific data during pretraining and can make errors in neural network computations requiring accurate execution. However, many existing models and systems can perform domain-specific tasks very well, although they are not easily accessible or compatible with foundation models because of the different implementations or working mechanisms. Therefore, there is a clear and pressing need for a mechanism that can leverage foundation models to propose task solution outlines and then automatically match the subtasks in the outlines to off-the-shelf models and systems with special functionalities to complete these subtasks. Inspired by this, we introduce TaskMatrix.AI as a new AI ecosystem that connects foundation models to millions of application programming interfaces (APIs) for task completion. Unlike most previous studies, which aimed to improve a single AI model, TaskMatrix.AI focuses on using an existing foundation model (as a brain-like central system) and APIs of other AI models and systems (as subtask solvers) to realize diversified tasks in both the digital and physical domains.

There is limited understanding of nanoparticle potential ecotoxicity, particularly regarding the influence of environmental factors that can be transferred through the food chain. Here, we assessed the transfer behavior and the ecotoxicity of commercially manufactured graphene oxide nano-materials (GO,

Chemical integrity plays a crucial role in maintaining the ecological integrity of aquatic ecosystems. Despite its significance, assessments of ecological integrity often prioritize biological evaluations, leading to infrequent and inadequate scrutiny of chemical integrity. Additionally, a comprehensive framework for separately assessing chemical integrity has not been established. To address this issue, we established a new index for evaluating chemical integrity, achieved through indicator screening, normalization, and weight assignment. Combined with the threshold indicator taxa analysis (TITAN) and Pearson correlation analysis, main evaluation indicators and their indicator species were identified and the corresponding response threshold was determined. These thresholds were then applied to improve the normalization method, with weights determined by indicator species proportions. This index was applied to evaluate the chemical integrity of the Huai River Basin, which is one of the largest basins in China. The results indicated that ammonia nitrogen (NH3-N), nitrate nitrogen (NO2-N), pH, and turbidity (Turb) were identified as the core parameters for evaluating chemical integrity. The conventional normalization method (max–min normalization) led to overestimation of the assessment results, whereas improved normalization method based on ecological threshold yielded better and more reasonable results. This study provided a reference for the selection of appropriate indicators and improvement of normalization method to better assess chemical integrity. And it would become a useful tool for monitoring and rehabilitating the chemical integrity in such basins.

Objective: To evaluate the image quality of low-dose temporal bone computed tomography (CT) in otitis media and mastoiditis patients by using deep learning reconstruction (DLR). Materials and methods: A total of ninety-seven temporal bones from 53 consecutive adult patients who had suspected otitis media and mastoiditis and underwent temporal bone CT were prospectively enrolled. All patients underwent high resolution CT protocol (group A) and an additional low-dose protocol (group B). In group A, high resolution data were reconstructed by filter back projection (FBP). In group B, low-dose data were reconstructed by DLR mild (B1), DLR standard (B2) and DLR strong (B3). The objective image quality was analyzed by measuring the CT value and image noise on the transverse image and calculating the signal-to-noise ratio (SNR) on incudomallear joint, retroauricular muscle, vestibule and subcutaneous fat. Subjective image quality was analyzed by using a five-point scale to evaluate nine anatomical structures of middle and inner ear. The number of temporal bone lesions which involved in five structures of middle ear were assessed in group A, B1, B2 and B3 images. Results: There were no significant differences in the CT values of the four reconstruction methods at four structures (all p > 0.05). The DLR group B1, B2 and B3 had significantly less image noise and a significantly higher SNR than group A at four structures (all p 0.05), however, the group B3 had lower subjective image quality than group A in modiolus, spiral osseous lamina and stapes (all p 0.05), however, the number of temporal bone lesions which involved in mastoid for group B3 images were significantly more than group A (p

Aiming at the problem of poor classification performance in traditional machine learning models caused by shallow model structure and complex data characteristics in small medical sample data, an combine multi- grained improved cascade forest (cgicForest) model was proposed.It enhances the representation learning ability of the model by adding random sampling into the multi-grained scanning and optimizing the transformation features.It also enhances the model's classification ability by updating the cascade forest’s hierarchical structure.Considering category imbalance problems in datasets, the safe-borderline-SMOTE (SBS) algorithm was proposed to dynamic interpolate around the few class samples belonging to the safety boundary, which can improve the quality of training data.The cgicForest was applied for training and learning, thus the SBS-cgicForest classification model was obtained which can support imbalanced medical small samples data.The model is used on three medical datasets for classification experiments.The results show that the performance indexes of the cgicForest model in the classification of medical small sample data with complex characteristics have increased by 4.1～5.4 percentage points, compared with the multi-grained cascade forest (gcForest) model.The performance indexes have increase by 6.6～11.2 percentage points after the combination with SBS algorithm, the F1 score was 2～2.5 percentage points higher than that obtained by traditional sampling methods.It provides a reference for solving the classification problem of small medical sample data, and includes support for internet of things applications in smart medical scenarios.

Abstract Background We aimed to establish an osteosarcoma prognosis prediction model based on a signature of endoplasmic reticulum stress-related genes. Methods Differentially expressed genes (DEGs) between osteosarcoma with and without metastasis from The Cancer Genome Atlas (TCGA) database were mapped to ERS genes retrieved from Gene Set Enrichment Analysis to select endoplasmic reticulum stress-related DEGs. Subsequently, we constructed a risk score model based on survival-related endoplasmic reticulum stress DEGs and a nomogram of independent survival prognostic factors. Based on the median risk score, we stratified the samples into high- and low-risk groups. The ability of the model was assessed by Kaplan–Meier, receiver operating characteristic curve, and functional analyses. Additionally, the expression of the identified prognostic endoplasmic reticulum stress-related DEGs was verified using real-time quantitative PCR (RT-qPCR). Results In total, 41 endoplasmic reticulum stress-related DEGs were identified in patients with osteosarcoma with metastasis. A risk score model consisting of six prognostic endoplasmic reticulum stress-related DEGs (ATP2A3, ERMP1, FBXO6, ITPR1, NFE2L2, and USP13) was established, and the Kaplan–Meier and receiver operating characteristic curves validated their performance in the training and validation datasets. Age, tumor metastasis, and the risk score model were demonstrated to be independent prognostic clinical factors for osteosarcoma and were used to establish a nomogram survival model. The nomogram model showed similar performance of one, three, and five year-survival rate to the actual survival rates. Nine immune cell types in the high-risk group were found to be significantly different from those in the low-risk group. These survival-related genes were significantly enriched in nine Kyoto Encyclopedia of Genes and Genomes pathways, including cell adhesion molecule cascades, and chemokine signaling pathways. Further, RT-qPCR results demonstrated that the consistency rate of bioinformatics analysis was approximately 83.33%, suggesting the relatively high reliability of the bioinformatics analysis. Conclusion We established an osteosarcoma prediction model based on six prognostic endoplasmic reticulum stress-related DEGs that could be helpful in directing personalized treatment.

Abstract Background Titanium dioxide (TiO2), no matter in nanoscale or micron sizes, has been widely used in food industry as additives for decades. Given the potential impact of TiO2 on the gastrointestinal epithelial and parenchymal cells, including goblet cells, the public consumers may suffer the risk of diseases caused by its widespread dissemination in food products. We therefore set out to investigate the impact of TiO2 NPs on the course and prognosis of ulcerative colitis by oral gavaging TiO2 NPs at the doses levels of 0, 30, 100, and 300 mg/kg during the induction (7 days, from day 1 to day 7) and recovery (10 days, from day 8 to day 17) phases of colitis in mice. Results The ulcerative colitis (UC) disease model was established by administrating of 2.5% dextran sulfate sodium (DSS) solution. Our results show that TiO2 NPs significantly enhanced the severity of DSS-induced colitis, decreased the body weight, increased the disease activity index (DAI) and colonic mucosa damage index (CMDI) scores, shortened the colonic length, increased the inflammatory infiltration in the colon. The most significant changes occurred in the low dose (30 mg/kg) group of TiO2 NPs exposure during the development phase of UC and the high dose (300 mg/kg) group of TiO2 NPs during UC self-healing phase. Increased reactive oxygen species (ROS) level and upregulation of anti-oxidant enzymes including total superoxide dismutase (T-SOD), glutathione peroxidase (GSH-PX) and catalase (CAT), demonstrate that the TiO2 NP exposure has triggered oxidative stress in mice. Moreover, the upregulation of caspase-1 mRNA and increased expression of thioredoxin interacting protein (TXNIP) further demonstrate the involvement of the ROS-TXNIP-NLR family pyrin domain containing 3 (NLRP3) inflammasome pathway in aggravating the development of UC. Conclusion Oral intake of TiO2 NPs could affect the course of acute colitis in exacerbating the development of UC, prolonging the UC course and inhibiting UC recovery. Graphical Abstract

Abstract Primary care physicians (PCPs) play an indispensable role in providing comprehensive care and referring patients for specialty care and other medical services. As the COVID-19 outbreak disrupts patient access to care, understanding the quality of primary care is critical at this unprecedented moment to support patients with complex medical needs in the primary care setting and inform policymakers to redesign our primary care system. The traditional way of collecting information from patient surveys is time-consuming and costly, and novel data collection and analysis methods are needed. In this review paper, we describe the existing algorithms and metrics that use the real-world data to qualify and quantify primary care, including the identification of an individual’s likely PCP (identification of plurality provider and major provider), assessment of process quality (for example, appropriate-care-model composite measures), and continuity and regularity of care index (including the interval index, variance index and relative variance index), and highlight the strength and limitation of real world data from electronic health records (EHRs) and claims data in determining the quality of PCP care. The EHR audits facilitate assessing the quality of the workflow process and clinical appropriateness of primary care practices. With extensive and diverse records, administrative claims data can provide reliable information as it assesses primary care quality through coded information from different providers or networks. The use of EHRs and administrative claims data may be a cost-effective analytic strategy for evaluating the quality of primary care.

The volatile aroma compounds of 15 representative dark tea products in Sichuan Province were analyzed by sensory evaluation and headspace solid phase micro-extraction (HS-SPME) combined with gas chromato graphy-mass spectrometry (GC-MS) in this study. The results showed that ''stale flavor'' were the main aromatic aroma type of Sichuan dark tea, other tea samples had glutinous rice aroma, sweet , sour gas and smoky, which were typical of dark tea. A total of 121 aroma components were detected in the dark teas,and the major aroma compounds were alkenes (5.41%~42.38%), aldehydes (7.26%~19.97%), ketones (6.68%~39.26%) and alcohols (14.03%~27.06%). 7 principal components were extracted from the 32 common aroma components byprincipal component analysis（principal component analysis, PCA） and the total contribution attained 84.27%. Characteristic aroma components included β-ionone, 1-octen-3-ol, 2,3-dihydro-2,2,6-trimethyl,5,6-epoxy-β-ionone, geranylacetone, 3,5-octadienone (E,E), trans-2-octenal, 2-n-pentylfuran, which played important roles in the aromatic characteristics of strong and pure ''stale flavor'' of Sichuan dark tea. Relative odor activity value (ROAV) was used to evaluate the contribution of aroma components to flavor characteristics of Sichuan dark tea. It was found that the ROAV values of (E,E)-2, 4-heptadienal, linalool, geraniyl acetone, α-ionone and 1-octene-3-ol were greater than 1. The above components made great contributions to the formation of aroma characteristics of Sichuan dark tea. This study could provide a theoretical reference for research on characteristic aroma formation and quality evaluation of Sichuan dark tea.

Background: This study was conducted to evaluate the efficacy and safety of docetaxel/S-1 (TS) compared with docetaxel/capecitabine (TX) as a first-line treatment for advanced breast cancer. Methods: Patients with advanced metastatic breast cancer were randomly divided into the TS group (n = 54) and the TX group (n = 57) for first-line chemotherapy from August 2015 to April 2019 (ClinicalTrials.org registration no. NCT02947061). Following the completion of combination therapy, patients without progression received S-1 or capecitabine maintenance treatment. The primary end point was progression-free survival (PFS). Results: Among 111 enrolled patients, the median PFS did not differ significantly between the TS group and the TX group (TS vs. TX, 9.0 vs. 7.4 months, P = 0.365, 95% confidence interval [CI]: 0.50–1.11, hazard ratio [HR]: 0.75). There was also no statistically significant difference in median overall survival (OS) between the two groups (TS vs. TX, 40.2 vs. 41.3 months, P = 0.976). In addition, visceral metastasis and metastasis sites, such as the liver or lung, did not lead to a significant effect on PFS and OS. The two regimens showed no significant difference in adverse events, except hand-foot syndrome, which predominated in the TX group (38.6% vs. 7.4%, P = 0.001), and diarrhea (24.1% vs. 3.6%, P = 0.003) and elevation of aspartate aminotransferase (AST)/alanine aminotransferase (ALT) levels (14.8% vs. 3.5%, P = 0.049), which were more frequent in the TS group. Conclusions: The TS and TX regimens demonstrated similar efficacy and safety for the first-line treatment of advanced breast cancer. The TS regimen had fewer cases of severe hand-foot syndrome than the TX regimen, representing an effective alternative option to the TX regimen. Further studies are warranted to define the efficacy and safety of this strategy in real-world settings.

Abstract. Background:. Amygdala plays an important role in the neurobiological basis of panic disorder (PD), and the amygdala contains different subregions, which may play different roles in PD. The aim of the present study was to examine whether there are common or distinct patterns of functional connectivity of the amygdala subregions in PD using resting-state functional magnetic resonance imaging and to explore the relationship between the abnormal spontaneous functional connectivity patterns of the regions of interest (ROIs) and the clinical symptoms of PD patients. Methods:. Fifty-three drug-naïve, non-comorbid PD patients and 70 healthy controls (HCs) were recruited. Seed-based resting-state functional connectivity (rsFC) analyses were conducted using the bilateral amygdalae and its subregions as the ROI seed. Two samples t test was performed for the seed-based Fisher's z-transformed correlation maps. The relationship between the abnormal spontaneous functional connectivity patterns of the ROIs and the clinical symptoms of PD patients was investigated by Pearson correlation analysis. Results:. PD patients showed increased rsFC of the bilateral amygdalae and almost all the amygdala subregions with the precuneus/posterior cingulate gyrus compared with the HC group (left amygdala [lAMY]: t = 4.84, P

Large-scale crop mapping using remote sensing data is of great significance for agricultural production, food security and the sustainable development of human societies. Winter rapeseed is an important oil crop in China that is mainly distributed in the Yangtze River Valley. Traditional winter rapeseed mapping practices are insufficient since they only use the spectral characteristics during the critical phenological period of winter rapeseed, which are usually limited to a small region and cannot meet the needs of large-scale applications. In this study, a novel phenology-based winter rapeseed index (PWRI) was proposed to map winter rapeseed in the Yangtze River Valley. PWRI expands the date window for distinguishing winter rapeseed and winter wheat, and it has good separability throughout the flowering period of winter rapeseed. PWRI also improves the separability of winter rapeseed and winter wheat, which traditionally have been two easily confused winter crops. A PWRI-based method was applied to the Middle Reaches of the Yangtze River Valley to map winter rapeseed on the Google Earth Engine platform. Time series composited Sentinel-2 data were used to map winter rapeseed with 10 m resolution. The mapping achieved a good result with overall accuracy and kappa coefficients exceeding 92% and 0.85, respectively. The PWRI-based method provides a new solution for high spatial resolution winter rapeseed mapping at a large scale.

Four multi-catheterized lactating goats were used in a 4 × 4 Latin square experiment to investigate the responses of amino acid metabolism in portal-drained viscera (PDV), liver, and mammary glands to short-term varying supplies of methionine (Met). During the last 45 h in each experimental period, goats were fasted for 12 h and then abomasally infused with an amino acid (AA) mixture plus glucose for 33 h. Treatments consisted of graded removal of Met from an infused AA mixture to achieve Met content in the infusate of 100% (complete), 60%, 30%, or 0% that in casein. Graded Met removal decreased the production of milk, milk protein, lactose, and fat linearly whilst also decreasing arterial Met concentration linearly (P 0.1) was maintained as Met supply declined. This was achieved through increased mammary affinity (P

Idiopathic pulmonary fibrosis (IPF) is a chronic lung disorder with a low survival rate. Pulmonary fibrosis is one of the complications of COVID-19 and has a high prevalence in COVID-19 patients. Currently, no effective therapies other than lung transplantation are available to cure IPF and post-COVID-19 pulmonary fibrosis. MicroRNAs are small non-coding RNAs that mediate the development and progression of pulmonary fibrosis, thus making them potent drug candidates for this serious disease. MicroRNA-21 (miR-21) promotes not only the differentiation of fibroblasts to myofibroblasts but also epithelial-mesenchymal transition, both of which have been proposed as fundamental processes in pulmonary fibrosis development. Delivery of anti-miR-21 to block the miR-21-associated fibrogenic pathways represents a promising therapy for pulmonary fibrosis. However, microRNA treatment is challenged by quick degradation of RNA in blood, poor cellular uptake, and off-target effects. To overcome these challenges, we developed a lung-targeted, cationic liposome formulation to encapsulate anti-miR-21, enhance its delivery efficiency, and improve the therapeutic efficacy. We optimized the liposome formulation and demonstrated the anti-fibrotic effects using both in vitro and in vivo lung fibrosis models. Our results showed that anti-miR-21 delivered by cationic liposomes suppressed myofibroblast differentiation, reduced the synthesis of extracellular matrix, and inhibited fibrosis progression.

Sedum bulbiferum is a traditional medicinal plant in China, with few reports on its chloroplast genome. In this study, the chloroplast genome of Sedum bulbiferum was characterized, and its phylogenetic position among other closely related species was studied. The results showed that the full length of the chloroplast genome was 150,074 bp, containing a large single-copy (LSC) region and a small single-copy (SSC) region of 81,730 and 16,726 bp, respectively, as well as two inverted repeat regions (IRs) of 25,809 bp like other plants. A total of 128 genes were found, including 83 protein-coding genes, 37 tRNA genes, and eight rRNA genes. Phylogenetic analysis showed that Sedum bulbiferum is closely related to Sedum emarginatum, Sedum alfredii, Sedum tricarpum, Sedum plumbizincicola, and Sedum sarmentosum.

Fabricating high strength high conductivity (HSHC) Cu alloy inner parts by laser powder bed fusion (LPBF) and high-strength steel out layers on Cu alloy surfaces by laser-direct energy deposition (LDED), e.g., laser powder hybrid additive manufacturing (LPH-AM), has shown promise in the development of rocket engine thrust chambers with large thrust forces. In this study, we successfully fabricated a QCr0.8 HSHC Cu alloy/S06 stainless steel bimetal structure via In718 multi-interlayer using LPH-AM. We investigated the relative density, defects, microstructure, and interfacial characteristics of the bimetal structure in detail. The results indicate that the sample achieved up to 99.9% relative density with no naked defects and good metallurgical bonding at the QCr0.8/In718 and In718/S06 interfaces. The LPH-AM-ed QCr0.8/In718 interface exhibited a combination of columnar and equiaxed dendrites. The vertically combined sample exhibited an average ultimate tensile strength (UTS) and break elongation (EL) of 300.3 ± 10.6 MPa and 15.0 ± 1.4%, respectively, with fracture occurring at the QCr0.8 side. This study provides a new method for fabricating complex-shaped Cu/steel bimetal components, such as rocket engine thrust chambers.

Abstract Cavitation generation methods have been used in multifarious directions because of their diversity, and numerous studies and discussions have been conducted on cavitation generation methods. This study aims to explore the generating mechanism and evolution law of volume alternate cavitation (VAC). In the VAC, liquid water is placed in an airtight container with a variable volume. As the volume alternately changes, the liquid water inside the container continues to cavitate. Then, the mixture turbulence model and in-cylinder dynamic grid model are adopted to conduct computational fluid dynamics simulation of volume alternate cavitation. In the simulation, the cloud images at seven heights on the central axis are monitored, and the phenomenon and mechanism of height and eccentricity are analyzed in detail. By employing the cavitation flow visualization method, the generating mechanism and evolution law of cavitation are revealed. The synergistic effects of experiments and high-speed camera capturing confirm the correctness of the simulation results. In the experiment, the volume change stroke of the airtight container is set to 20 mm, the volume change frequency is 18 Hz, and the shooting frequency of the high-speed camera is set to 10000 FPS. The experimental results indicate that the position of the cavitation phenomenon has a reasonable law during the whole evolution cycle of the cavitation cloud. Also, the volume alternation cycle corresponds to the generation, development, and collapse stages of cavitation bubbles.

Abstract Background The Triglyceride and Glucose (TyG) index has been found to have a strong correlation with the recurrence of acute ischemic stroke (AIS) and poor patient outcomes. Nevertheless, the relationship between the TyG index and early neurological deterioration (END) has not been fully explored. Therefore, the present study aims to investigate the potential association between the TyG index and END. Methods A retrospective analysis of 2129 patients diagnosed with AIS between January 2019 and December 2022 at the Second Affiliated Hospital of Harbin Medical University. Patients were divided into END and non-END groups based on changes in National Institutes of Health Stroke Scale scores within 7 days of admission, and the differences in the indicators between the two groups were examined using univariate analysis. The patients were then divided into three groups based on the tertile of the TyG index (T1: TyG index

The co-utilization of green manure (GM) and rice straw (RS) in paddy fields has been widely applied as an effective practice in southern China. However, its effects on soil aggregate and soil organic carbon (SOC) stability remain unclear. In the present study, the effect of GM, RS, and co-utilization of GM and RS on particle size distribution of soil aggregates and SOC density fractions were measured in a field experiment. The experiment included six treatments, i.e., winter fallow (WF) without RS return (Ctrl), WF with 50% RS return (1/2RS), WF with 100% RS return (RS), GM without RS return (GM), GM with 50% RS return (GM1/2RS) and GM with 100% RS return (GMRS). The results showed that the proportion of small macro-aggregates (0.25–2 mm) and the mean weight diameter (MWD) of aggregates in the GMRS treatment was greater (by 18.9 and 3.41%, respectively) than in the RS treatment, while the proportion of silt+clay particles (

Abstract Backgrounds To characterize the acute phase clinical manifestations and visual outcomes of the patients with Vogt-Koyanagi Harada (VKH) disease in southern China. Methods In total, 186 patients with acute-onset VKH disease were recruited. The demographic data, clinical signs, ophthalmic examinations, and visual outcomes were analyzed. Results Among the 186 VKH patients, 3 were diagnosed as complete VKH, 125 as incomplete VKH, and 58 as probable VKH. All patients visited the hospital within 3 months of onset and complained of decreased vision. For the extraocular manifestations, 121 patients (65%) referred neurological symptoms. Anterior chamber activity was negative in most eyes within an onset of 7 days, which increased slightly with onset beyond 1 week. Exudative retinal detachment (366 eyes, 98%) and optic disc hyperaemia (314 eyes, 84%) were commonly observed at presentation. A typical ancillary examination helped with the diagnosis of VKH. Systemic corticosteroid therapy was prescribed. The logMAR best-corrected visual acuity improved significantly from 0.74 ± 0.54 at baseline to 0.12 ± 0.24 at the 1-year follow-up visit. The recurrence rate was 18% in the follow-up visits. Erythrocyte sedimentation rate and C-reactive protein were significantly correlated to VKH recurrences. Conclusion Posterior uveitis, followed by mild anterior uveitis, is the typical initial manifestation in the acute phase of Chinese VKH patients. Visual outcome improvement is promising in most patients receiving systemic corticosteroid therapy in the acute phase. Detection of the clinical features at the initial onset of VKH could facilitate early treatment and better vision improvement.

Abstract Background Postoperative cognitive complications are major challenges for postoperative recovery. Acupuncture-related techniques have been used for treating neurocognitive dysfunctions. However, whether they help to prevent postoperative cognitive complicationss remains unclear. We intend to evaluate the effect of acupuncture-related techniques on the incidence of postoperative cognitive complications (PCC) in patients undergoing surgery under general anesthesia. Methods Based on PRISMA guidelines, a search of PubMed, EMBASE, Web of Science, and the Cochrane Central Register of Controlled Trials and ClinicalTrials.gov was performed to identify eligible trials published from inception to June 6, 2021. The search was performed in June 2021. The inclusion criteria were prospective, randomized, controlled clinical trials that compared acupuncture-related techniques with other techniques or non-acupuncture treatment in patients undergoing surgery under general anesthesia. Pooled odds ratios (ORs), 95% CIs, and P values were estimated for end points using fixed and random effects statistical models. Results The analysis included 12 studies with 1058 patients. Compared with patients not receiving acupuncture, patients treated with acupuncture-related techniques had a lower incidence of PCCs (OR, 0.44; 95% CI, 0.33 to 0.59; P

Vocabulary knowledge plays an important role in predicting L2 learners’ listening comprehension. Written vocabulary tests have long been used to measure L2 learners’ vocabulary knowledge in studies on listening comprehension, while a limited number of studies have investigated the role of aural vocabulary knowledge to explain success in L2 listening. The current study adopts an aural receptive vocabulary test to measure L2 learners’ vocabulary knowledge and a listening task to measure their L2 listening comprehension proficiency. The results show that L2 learners’ aural vocabulary knowledge significantly correlates with their listening proficiency. Although learners’ aural word knowledge at each frequency level (from 1K to 5K) and their academic word knowledge were significantly correlated with L2 listening, the strongest correlation was between academic vocabulary knowledge and listening, followed by that between word knowledge at the 5K frequency level and listening. In terms of the contribution of aural vocabulary knowledge to L2 listening, the scores achieved for the academic word knowledge measure alone explain 22% of the variance in L2 listening, and the scores achieved for the 5K word frequency level measure alone explain 16.7% of such variance. Learners’ academic vocabulary knowledge is found to explain unique variance over and above their vocabulary knowledge at the 5K word frequency level in L2 listening.

Abstract Introduction Total laparoscopic hysterectomy (TLH) is a common surgical procedure that is frequently associated with substantial postoperative pain. As part of multimodal analgesia, the erector spinae plane block (ESPB) and transmuscular quadratus lumborum block (TQLB) have been demonstrated to be effective. This study aimed to evaluate whether ESPB and TQLB reduce postoperative pain and opioid consumption after TLH. Methods A total of 90 female patients undergoing TLH were randomized to receive either ESPB, TQLB, or no intervention before general anesthesia. All patients received a patient-controlled sufentanil analgesia postoperatively. Postoperative pain and sufentanil consumption were evaluated. The primary outcome was cumulative sufentanil consumption at 12 h postoperatively. Results The cumulative sufentanil consumption at 12 h postoperatively was significantly lower in Group ESPB than in Group CON after Bonferroni correction (median [interquartile range], 0 [0, 4] μg vs. 6 [0, 10] μg; median difference = − 3; 95% confidence interval, − 6–0; P = 0.010). There were no significant differences between Group TQLB and CON (0 [0, 4] μg vs. 6 [0, 10] μg; P = 0.098) or between the two block groups (P = 1.000). When compared with Group CON, ESPB and TQLB persistently reduced pain scores until 6 and 4 h after surgery, respectively (P

Building sites are created by leveling hills and creating land in the hilly mountainous areas of collapsible loess. The deformation characteristics of the high slopes of excavation and filling and the internal properties of the soil at the exposed position of the boundary line are the key aspect of slope stability evaluation. To investigate the stability of the collapsible loess high slope for the Tongxin Miaoling transformer station from the important hub of the West-East power transmission project, this study conducted field detection tests using professional ground-penetrating radar (GPR) of model pulseEKKO PRO, Survey lines with lengths of 416 m and 372 m were laid at the top of the slope in the excavation area and the fill area. Meanwhile, survey lines of 15 m and 20 m in length were laid on both sides of the excavation and filling boundary. GPR is used to carry out detection work on all survey lines at 0.5 m intervals. The results show that the wave spectrum characteristics image of the high excavation slope is consistent with the soil distribution at the same location in the geological survey results. Meanwhile, its reflected wave is messier, which indicates that there are unloading cracks and sporadic fracture zones inside the slope. There is no abnormal reflective wave surface such as cracks and local subsidence on the high fill slope, and its filling soil is uniform. The original soil in the high fill slope area is self-weight collapsing loess, thus the soil of the high fill slope has potential risks. The boundary area of excavation and filling has a more obvious boundary line of excavation and filling, which has a slow slope and uniform transition. The detection waveform on the side of the boundary line is complex, with many types of lithology, and high soil compactness, while the right side has regular waveforms, single soil properties, low soil compactness, and differences in soil properties between excavation and filling.easily lead to unenen settlement. These results could provide a reference for the design and construction of the high side slope of the cutting hills to the backfill ditch project.

Abstract Background Colorectal cancer (CRC) is one of the most prevalent types of malignant tumours. Metastasis is the leading cause of cancer-related mortality, with lung metastases accounting for 32.9% of all metastatic CRCs. However, since the biological mechanism of lung metastatic CRC is poorly understood, limited therapeutic targets are available. In the present study, we aimed to identify the key genes and molecular processes involved in CRC lung metastasis. Methods The differentially expressed genes (DEGs) between primary and lung metastatic CRC patients were obtained from the Gene Expression Omnibus (GEO) database via the GEO2R tool. The enriched biological processes and pathways modulated by the DEGs were determined with Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and Reactome Gene Sets analyses. The search tool Retrieval of Interacting Genes (STRING) and Cytoscape were used to construct a protein–protein interaction (PPI) network among DEGs. Results The DEGs were enriched in surfactant metabolism, cell–cell communication and chemokine signaling pathways. The defined hub genes were included CLU, SFTPD, CCL18, SPP1, APOE, BGN and MMP3. Among them, CLU, SFTPD and CCL18 might be associated with the specific lung tropism metastasis in CRC. In addition, the expression and prognostic values of the hub genes in CRC patients were verified in database of The Cancer Genome Atlas (TCGA) and GEO. Moreover, the protein levels of the hub genes were detected in primary and lung metastatic CRC cells, serum or tissues. Furthermore, SFTPD was confirmed to facilitate cellular proliferation and lung metastasis in CRC. Conclusion This bioinformatics study may provide a better understanding of the candidate therapeutic targets and molecular mechanisms for CRC lung metastasis.

Abstract Insulin-producing pancreatic β cell death is the fundamental cause of type 1 diabetes (T1D) and a contributing factor to type 2 diabetes (T2D). Moreover, metabolic disorder is another hallmark of T2D. Mammalian sterile 20-like kinase 1 (MST1) contributes to the progression of diabetes mellitus through apoptosis induction and acceleration of pancreatic β cell dysfunction. AMP-activated protein kinase (AMPK) is an energy sensing kinase and its activation has been suggested as a treatment option for metabolic diseases. Thus, pharmacological inhibition of MST1 and activation of AMPK simultaneously represents a promising approach for diabetes therapy. Here, we discovered a novel selective MST1 kinase inhibitor IHMT-MST1-39, which exhibits anti-apoptosis efficacy and improves the survival of pancreatic β cells under diabetogenic conditions, as well as primary pancreatic islets in an ex vivo disease model. Mechanistically, IHMT-MST1-39 activated AMPK signaling pathway in hepatocytes in vitro, combination of IHMT-MST1-39 and metformin synergistically prevented hyperglycemia and significantly ameliorated glucose tolerance and insulin resistance in diabetic mice. Taken together, IHMT-MST1-39 is a promising anti-diabetic candidate as a single agent or in combination therapy for both T1D and T2D.

Abstract Several groups of bacteria have complex life cycles involving cellular differentiation and multicellular structures. For example, actinobacteria of the genus Streptomyces form multicellular vegetative hyphae, aerial hyphae, and spores. However, similar life cycles have not yet been described for archaea. Here, we show that several haloarchaea of the family Halobacteriaceae display a life cycle resembling that of Streptomyces bacteria. Strain YIM 93972 (isolated from a salt marsh) undergoes cellular differentiation into mycelia and spores. Other closely related strains are also able to form mycelia, and comparative genomic analyses point to gene signatures (apparent gain or loss of certain genes) that are shared by members of this clade within the Halobacteriaceae. Genomic, transcriptomic and proteomic analyses of non-differentiating mutants suggest that a Cdc48-family ATPase might be involved in cellular differentiation in strain YIM 93972. Additionally, a gene encoding a putative oligopeptide transporter from YIM 93972 can restore the ability to form hyphae in a Streptomyces coelicolor mutant that carries a deletion in a homologous gene cluster (bldKA-bldKE), suggesting functional equivalence. We propose strain YIM 93972 as representative of a new species in a new genus within the family Halobacteriaceae, for which the name Actinoarchaeum halophilum gen. nov., sp. nov. is herewith proposed. Our demonstration of a complex life cycle in a group of haloarchaea adds a new dimension to our understanding of the biological diversity and environmental adaptation of archaea.

Purpose: Existing studies show that firms may have an incentive to use share repurchases opportunistically, thereby taking advantage of market participants' confirmation bias that share repurchase is a signal of undervaluation. This study aims to investigate whether signaling costs and accounting transparency can serve as tools to identify opportunistic share repurchases. Design/methodology/approach: The authors measure signaling costs by using two share repurchase methods (direct and indirect share repurchase) with different share repurchase costs, and measure accounting transparency using the history of earnings timeliness. The authors further measure long-term performance following share repurchases using operating performance and stock returns. Lastly, the authors compare the long-term performances between the groups defined by share repurchase method and earnings timeliness level. Findings: The authors find that indirect share repurchase firms with a history of poor earnings timeliness experience unfavorable long-term performance, while other share repurchase firms do not. This finding reinforces the view that some share repurchases may be driven by managerial opportunism. In particular, when firms with a history of poor earnings-reporting behavior choose a low-cost repurchase method, their share repurchases may be motivated by managerial opportunism. Originality/value: The findings suggest that past earnings timeliness and the signaling costs of a repurchase together are useful predictors of false signaling. Moreover, they suggest that investors can – at least in part – predict opportunistic share repurchases by using signaling costs and accounting transparency. [ABSTRACT FROM AUTHOR]

Three new species of Tuber, T. albicavum, T. laojunshanense, and T. umbilicicavatum belonging to the Puberulum phylogroup, are described based on specimens collected in alpine Abies forests at 3600–4000 m, Northwest Yunnan, China. T. albicavum is distinguished by its ascomata with a single chamber of 0.5–1.8 cm diameter, with an apical opening of 0.2–0.6 cm in diameter, and light golden-brown alveolate reticulate ascospores up to 30 μm in length; T. laojunshanense is characterized by having ascomata with a slightly tomentose surface, sometimes with a white navel, a relatively thick peridium, up to 280 µm, and yellow-brown spores with alveolate reticulate ornamentation, up to 34 µm in length; T. umbilicicavatum is characterized by smooth ascomata with a distinct white navel, a relatively thin peridium, up to 110 µm, and golden or golden-brown alveolate reticulate ascospores, up to 40 μm in length. The molecular analysis of the internal transcribed spacer region also supports that these three new species differ from previously described Tuber species.

Deep underground laboratories offer advantages for conducting high-precision observations of weak geophysical signals, benefiting from a low background noise level. Enhancing strong, noisy ground electromagnetic (EM) field data using synchronously recorded underground EM signals, which typically exhibit a high signal-to-noise ratio, is both valuable and feasible. In this study, we propose an EM field reconstruction method employing a Long Short-Term Memory (LSTM) recurrent neural network with referenced deep underground EM observations. Initially, a deep learning model was developed to capture the time-varying features of underground multi-component EM fields using the LSTM recurrent neural network. Subsequently, this model was applied to process synchronously observed strong, noisy data from other conventional observation systems, such as those at the surface, to achieve noise suppression through signal reconstructions. Both the theoretical analysis and the practical observational data suggest that the proposed method effectively suppresses noise and reconstructs clean EM signals. This method is efficient and time-saving, representing an effective approach to fully utilizing the advantages of deep underground observation data. Furthermore, this method could be extended to the processing and analysis of other geophysical data.

Vertically transmitted endophytes (VTEs) with multi-host-supporting functions are considered plant-acquired heritable traits, which can be manipulated to develop plants with the stable inheritance of these VTEs, defined here as ‘plant endophytic modification (PEM)’. To translate this hypothetical strategy into agricultural and horticultural practice, a PEM was carried out by introducing an anti-fungal pathogenic bacterium, Bacillus cereus (strain ID: ZX-2), into grapevine cuttings and growing the cuttings into vine plants. Bacterial strain XZ-2 is highly efficient in infecting grapevine cuttings and colonizing the interior of the infected cuttings, various parts of the subsequently established vine plants, and next year’s emerging vine shoots and leaves. Profiling the endophytic microbiota by high-throughput sequencing to the grapevines revealed that the colonization with exogenous ZX-2 slightly affected endophytic diversity, while significantly altering the composition and the predicted phenotypes of endophytic microbiota in ZX-2-modified grapevines (ZX-2mg). Most importantly, leaves (from both first- and second-year grapevines) of ZX-2mg conferred significantly higher (p < 0.001) anti-fungal pathogen abilities and a reduction in naturally occurring lesion area than leaves compared to the control grapevines. For all detected vines, a significant correlation (N = 37, r = 0.418; p < 0.01) between fungal pathogen inhibition rates and B. cereus (ZX-2) isolation rates was observed. In addition, ZX-2mg showed some growth promotion and a delay (15–20 days) in leaf abscission. The work established an alternative strategy to create plant lines with functions of specific VTEs via PEM, confirming the practical value of PEM in future organic farming systems.

Light-field images (LFIs) are gaining increased attention within the field of 3D imaging, virtual reality, and digital refocusing, owing to their wealth of spatial and angular information. The escalating volume of LFI data poses challenges in terms of storage and transmission. To address this problem, this paper introduces an MSHPE (most-similar hierarchical prediction encoding) structure based on light-field multi-view images. By systematically exploring the similarities among sub-views, our structure obtains residual views through the subtraction of the encoded view from its corresponding reference view. Regarding the encoding process, this paper implements a new encoding scheme to process all residual views, achieving lossless compression. High-efficiency video coding (HEVC) is applied to encode select residual views, thereby achieving lossy compression. Furthermore, the introduced structure is conceptualized as a layered coding scheme, enabling progressive transmission and showing good random access performance. Experimental results demonstrate the superior compression performance attained by encoding residual views according to the proposed structure, outperforming alternative structures. Notably, when HEVC is employed for encoding residual views, significant bit savings are observed compared to the direct encoding of original views. The final restored view presents better detail quality, reinforcing the effectiveness of this approach.

Imitation learning has shown promise for autonomous driving, but suffers from covariate shift, where the policy performs poorly in unseen environments. DAgger is a popular approach that addresses this by leveraging expert demonstrations. However, DAgger’s frequent visits to sub-optimal states can lead to several challenges. This paper proposes a novel DAgger framework that integrates Bayesian uncertainty estimation via mean field variational inference (MFVI) to address this issue. MFVI provides better-calibrated uncertainty estimates compared to prior methods. During training, the framework identifies both uncertain and critical states, querying the expert only for these states. This targeted data collection reduces the burden on the expert and improves data efficiency. Evaluations on the CARLA simulator demonstrate that our approach outperforms existing methods, highlighting the effectiveness of Bayesian uncertainty estimation and targeted data aggregation for imitation learning in autonomous driving.

L-theanine, a unique non-protein amino acid, is an important bioactive component of green tea. Previous studies have shown that L-theanine has many potent health benefits, such as anti-anxiety effects, regulation of the immune response, relaxing neural tension, and reducing oxidative damage. However, little is known concerning whether L-theanine can improve the clearance of mitochondrial DNA (mtDNA) damage in organisms. Here, we reported that L-theanine treatment increased ATP production and improved mitochondrial morphology to extend the lifespan of UVC-exposed nematodes. Mechanistic investigations showed that L-theanine treatment enhanced the removal of mtDNA damage and extended lifespan by activating autophagy, mitophagy, mitochondrial dynamics, and mitochondrial unfolded protein response (UPRmt) in UVC-exposed nematodes. In addition, L-theanine treatment also upregulated the expression of genes related to mitochondrial energy metabolism in UVC-exposed nematodes. Our study provides a theoretical basis for the possibility that tea drinking may prevent mitochondrial-related diseases.

Accurately predicting the thermal characteristics and heat transfer distribution of the rotating detonation engine (RDE) and acquiring a clear understanding of the performance and mechanism of the rotating detonation are of great significance for achieving the safe and reliable long-duration operation of RDEs. Using RP-3 as fuel, a long-duration experimental study is performed on a 220 mm-diameter RDC to investigate the details with respect to the thermal environment. The heat flux at the typical location and the average heat flux of both the inner and outer cylinders are measured, respectively. Meanwhile, the peak pressure of the rotating detonation wave (RDW) and specific thrust are analyzed. When the ER is between 0.5 and 1 (oxidizer 2 kg/s), the stable rotating detonation mode is obtained, and the detonation duration is set as 40 s to accurately calculate the heat released by the detonation combustion. The heat flux in the upstream region of the RDW location ranges from 2.40 × 105 W/m2 to 3.17 × 105 W/m2, and the heat flux in the downstream area of the RDW location ranges from 1.05 × 106 W/m2 to 1.28 × 106 W/m2. The results demonstrate the important role of the detonation combustion zone, and the thrust performance of RDC can be improved by making the RDW move forward along the RDC axis, which is the optimal direction of detonation combustion. Through a comparison of average heat flux under different conditions, it is found that the heat released by the RDC is directly related to its thrust. In addition, the average heat flux of the inner cylinder is about three times that of the outer cylinder for the two-phase RDC with a Tesla valve intake structure, indicating that the high-temperature combustion product is closer to the inner wall. Therefore, more thermal protection should be allocated to the inner cylinder, and a more systematic analysis of the two-phase flow field distribution in the annular combustion chamber should be carried out to improve the thrust performance. In this paper, the average heat flux of the inner and outer cylinders of the RDC as well as the typical local heat flux of the outer cylinders is quantitatively measured by means of experiments, which not only deepens the understanding of RDC flow field distribution, but also provides quantitative boundary conditions for the thermal protection design of RDCs.