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Efficient harnessing of solar energy presents a significant challenge in environmental cleanup efforts. This study develops a highly effective carbon quantum dots-modified hollow core-shell TiO2-LaFeO3 heterojunction photocatalyst (CDs-TLFO). Structural analysis confirmed that nanosheets are loaded with CQDs, forming a hollow core-shell structure with intimate interconnection. Photocatalytic experiments reveal that CDs-TLFO degrads tetracycline hydrochloride (TC) 2.02 times faster than TLFO alone, and significantly outperformes h-TiO2 and LaFeO3 (11.28 and 2.78 times, respectively). This enhancement is attributed to CQDs acting as electron acceptors with upconversion properties, enhancing the separation of e–-h+ pairs and boosting visible light absorption. Integration of CQDs onto the TLFO surface creates numerous active sites and enhances visible light absorption. SEM and TEM tests confirm that the catalyst has a hollow core-shell structure. ESR tests and radical trapping experiments indicate that the high degradation efficiency of the catalyst mainly owns to the synergistic effect of hydroxyl radicals (·OH) and superoxide radicals (·O2−). The reusability and stability of the catalysts are investigated, potential TC degradation pathways are proposed as well as the photocatalytic reaction mechanism is revealed. This research introduces promising avenues for environmental cleanup and offers a straightforward, energy-efficient, and environmentally friendly method for producing CDs-TLFO heterojunction materials with superior photocatalytic capabilities. [ABSTRACT FROM AUTHOR]

Accurate postoperative assessment is critical for optimizing 131I therapy in patients with papillary thyroid cancer (PTC). This study aimed to develop a pathology model utilizing postoperative digital pathology slides to predict lymph node and/or distant metastases on post-therapeutic 131I scan after initial 131I treatment in PTC patients. A retrospective analysis was conducted on 229 PTC patients who underwent total or near-total thyroidectomy and subsequent 131I treatment after levothyroxine (LT4) withdrawal between January 2022 and August 2023. The pathology model was developed through two stages: patch-level prediction and WSI-level prediction. The clinical model was constructed using statistically significant variables identified from univariate and multivariate logistic regression analysis. Of the 229 patients, 19.6% (45/229) exhibited 131I-avid metastatic foci in post-therapeutic 131I scan. Multifactorial analysis identified stimulated thyroglobulin (sTg) as the sole independent risk factor. The AUC of the pathology model in the training and test cohorts were 0.976 (95% CI 0.948–1.000) and 0.805 (95% CI 0.660–0.951), respectively, which were significantly higher than the clinical model (AUC 0.652 and 0.548, Pall < 0.05). This model has the potential to serve as a valuable tool for clinicians in tailoring treatment strategies, thereby optimizing therapeutic outcomes for PTC patients. [ABSTRACT FROM AUTHOR]

Coenzyme Q10 (CoQ10) is the most consumed dietary supplement and mainly biosynthesized by aerobic fermentation of Rhodobacter sphaeroides (R. sphaeroides). Oxygen supply was identified as a bottleneck for improving CoQ10 yield in R. sphaeroides. In this study, a precise regulation strategy based on dielectric spectroscopy (DS) was applied to further improve CoQ10 biosynthesis by R. sphaeroide. First, a quantitative response model among viable cells, cell morphology, and oxygen uptake rate (OUR) was established. DS could be used to detect viable R. sphaeroides cells, and the relationship among cell morphology, CoQ10 biosynthesis, and OUR was found to be significant. Based on this model, the online specific oxygen consumption rate (QO2) control strategy was successfully applied to the CoQ10 fermentation process. QO2 controlled at 0.07 ± 0.01 × 10− 7mmol/cell/h was most favorable for CoQ10 biosynthesis, resulting in a 28.3% increase in CoQ10 production. Based on the multi-parameters analysis and online QO2 control, a precise online nutrient feeding strategy was established using conductivity detected by DS. CoQ10 production was improved by 35%, reaching 3384 mg/L in 50 L bioreactors. This online control strategy would be effectively applied for improving industrial CoQ10 production, and the precise fermentation control strategy could also be applied to other fermentation process. [ABSTRACT FROM AUTHOR]

The self-assembly material N,N-bis-(3-dimethyl aminopropyl)-3,4,9,10-perylene tetracarboxylic acid diimide (PDI) is reported to show electrochemical (EC)/electrochemiluminescence (ECL) property for designing new dual-mode dopamine (DA) sensors. K2S2O8 significantly improved the EC reduction current at -0.346 V and ECL intensity at -0.25 V of the PDI self-assembly material. DA largely decreased the EC reduction current and ECL intensity of this homogeneous EC/ECL material due to the competitive consumption of K2S2O8 in the oxidization process of DA and the low electron conductivity of polyDA formed through the oxidization of DA by K2S2O8. In addition, the ECL quenching mechanism involved an energy-transfer process resulting from the collision between the produced o-benzoquinone species (oxidization of DA) and the excited state of PDI, which decreased the ECL intensity. This homogeneous EC/ECL material showed linear EC current response for DA from 5.0 nM to 50.0 µM with a detection of limit of 2.7 nM and linear ECL response for DA from 1.0 nM to 100.0 µM with a detection of limit of 0.41 nM. The proposed dual-mode EC/ECL sensors also showed good feasibility in urine sample analysis. [ABSTRACT FROM AUTHOR]

Mesenchymal stem cells have made remarkable progress in recent years. Many studies have reported that human umbilical cord mesenchymal stem cells (hUC-MSCs) have no toxicity, but thromboembolism appeared in patients treated with hUC-MSCs. Therefore, people are still worried about the safety of clinical application. The study aims to determine the safety, potential toxic mechanism and biodistribution of hUC-MSCs. F344RG rats were given 5 or 50 million cells/kg of hUC-MSCs by single administration in compliance with Good Laboratory Practice standards. Standard toxicity was performed. RNA sequencing was then performed to explore the potential toxic mechanisms. In parallel, the biodistribution of hUC-MSCs was examined. The dose of 5 million cells/kg hUC-MSCs had no obvious toxicity on symptom, weight, food intake, hematology, serum biochemistry, urine biochemistry, cytokines, and histopathology. However, blood-tinged secretions in the urethral orifice and 20% mortality occurred at 50 million cells/kg. Disseminated intravascular coagulopathy (DIC) is the leading cause of death. hUC-MSCs significantly upregulated complement and coagulation cascade pathways gene expression, resulting in DIC. Besides, hUC-MSCs upregulated fibrinolytic system suppressor genes A2m, Serping1 and Serpinf2. hUC-MSCs survived in rats for less than 28 days, no hUC-MSC was detected in tissues outside the lungs. There was no toxicity in F344RG rats at 5 million cells/kg, but some toxicities were detected at 50 million cells/kg. hUC-MSCs significantly upregulated complement and coagulation cascade pathways, upregulated the expression of fibrinolytic system suppressor genes A2m, Serping1 and Serpinf2, to inhibit fibrinolytic system, caused DIC, which provided a new insight into the toxic mechanism of hUC-MSCs. [ABSTRACT FROM AUTHOR]

Dynamic monitoring of blood pressure (BP) is beneficial to obtain comprehensive cardiovascular information of patients throughout the day. However, the clinical BP measurement method relies on wearing a bulky cuff, which limits the long-term monitoring and control of BP. In this work, a microcavity assisted graphene pressure sensor (MAGPS) for single-vessel local BP monitoring is designed to replace the cuff. The microcavity structure increases the working range of the sensor by gas pressure buffering. Therefore, the MAGPS achieves a wide linear response of 0–1050 kPa and sensitivity of 15.4 kPa−1. The large working range and the microcavity structure enable the sensor to fully meet the requirements of BP detection at the radial artery. A database of 228 BP data (60-s data fragment detected by MAGPS) and 11,804 pulse waves from 9 healthy subjects and 5 hypertensive subjects is built. Finally, the BP was detected and analyzed automatically by combining MAGPS and a two-stage convolutional neural network algorithm. For the BP detection method at local radial artery, the first stage algorithm first determines whether the subject has hypertension by the pulse wave. Then, the second stage algorithm can diagnose systolic and diastolic BP with the accuracy of 93.5% and 97.8% within a 10 mmHg error, respectively. This work demonstrates a new BP detection method based on single vessel, which greatly promotes the efficiency of BP detection. [ABSTRACT FROM AUTHOR]

Objective: To evaluate the effectiveness and safety of Chinese medicine (CM) in the treatment of coronavirus disease 2019 (COVID-19) in China. Methods: A multi-center retrospective cohort study was carried out, with cumulative CM treatment period of ⩾3 days during hospitalization as exposure. Data came from consecutive inpatients from December 19, 2019 to May 16, 2020 in 4 medical centers in Wuhan, China. After data extraction, verification and cleaning, confounding factors were adjusted by inverse probability of treatment weighting (IPTW), and the Cox proportional hazards regression model was used for statistical analysis. Results: A total of 2,272 COVID-19 patients were included. There were 1,684 patients in the CM group and 588 patients in the control group. Compared with the control group, the hazard ratio (HR) for the deterioration rate in the CM group was 0.52 [95% confidence interval (CI): 0.41 to 0.64, P<0.001]. The results were consistent across patients of varying severity at admission, and the robustness of the results were confirmed by 3 sensitivity analyses. In addition, the HR for all-cause mortality in the CM group was 0.29 (95% CI: 0.19 to 0.44, P<0.001). Regarding of safety, the proportion of patients with abnormal liver function or renal function in the CM group was smaller. Conclusion: This real-world study indicates that the combination of a full-course CM therapy on the basic conventional treatment, may safely reduce the deterioration rate and all-cause mortality of COVID-19 patients. This result can provide the new evidence to support the current treatment of COVID-19. Additional prospective clinical trial is needed to evaluate the efficacy and safety of specific CM interventions. (Registration No. ChiCTR2200062917) [ABSTRACT FROM AUTHOR]

Crossover recombination is a hallmark of meiosis that holds the paternal and maternal chromosomes (homologs) together for their faithful segregation, while promoting genetic diversity of the progeny. The pattern of crossover is mainly controlled by the architecture of the meiotic chromosomes. Environmental factors, especially temperature, also play an important role in modulating crossovers. However, it is unclear how temperature affects crossovers. Here, we examined the distribution of budding yeast axis components (Red1, Hop1, and Rec8) and the crossover-associated Zip3 foci in detail at different temperatures, and found that both increased and decreased temperatures result in shorter meiotic chromosome axes and more crossovers. Further investigations showed that temperature changes coordinately enhanced the hyperabundant accumulation of Hop1 and Red1 on chromosomes and the number of Zip3 foci. Most importantly, temperature-induced changes in the distribution of axis proteins and Zip3 foci depend on changes in DNA negative supercoils. These results suggest that yeast meiosis senses temperature changes by increasing the level of negative supercoils to increase crossovers and modulate chromosome organization. These findings provide a new perspective on understanding the effect and mechanism of temperature on meiotic recombination and chromosome organization, with important implications for evolution and breeding. [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]

Understanding the shear characteristics and acoustic emission features of bolted joints is crucial for the optimization of support systems and disaster early warning. In this paper, a series of shear tests on rock joints using both full-length anchorage and partial anchorage methods were conducted. The evolving patterns of shear mechanical characteristics and acoustic emission features of bolted rock joints were obtained, elucidating the influence of anchorage methods and revealing the shear failure mechanisms of joints under different anchorage lengths. The results indicate that the "pin effect" of the bolt can be rapidly mobilized in the full-length anchorage compared to the partial anchorage method. The full-length anchorage exhibits higher peak shear stress and fracture shear stress, with maximum differences of 0.38 MPa and 0.08 MPa, respectively, when contrasted with the partial anchorage method. The deformation range of bolts in the partial anchorage method approximately doubles that observed in the full-length anchorage. Acoustic emission feature parameters exhibit a good correspondence with shear stress curves, and their evolution suggests that the most significant damage to bolted joints occurs at the shear stress peak, with the highest energy release observed when bolts fail. Under both partial anchorage and full-length anchorage, with an increase in normal stress or JRC, the b of bolted joint acoustic emissions gradually decreases. Compared to the partial anchorage method, the full-length anchorage demonstrates a higher maximum Hit rate, along with lower maximum energy release, implying more intense interaction between bolts and surrounding rock in the full-length anchorage, resulting in greater damage under the same conditions, whereas the deformation range of bolts is smaller, and the energy released upon failure is lower in the full-length anchorage. Highlights: A series of shear tests on rock joints using full-length and partial anchorage methods. Investigated the effects of anchorage lengths, normal stress, and joint surface roughness on shear behavior and acoustic emissions. The effects of the anchorage lengths on the fracture behavior of bolted joints was revealed. [ABSTRACT FROM AUTHOR]

Phytopathogens often secrete effectors to enhance their infection of plants. In the case of Sclerotinia sclerotiorum, a necrotrophic phytopathogen, a secreted protein named SsPEIE1 (Sclerotinia sclerotiorum Plant Early Immunosuppressive Effector 1) plays a crucial role in its virulence. During the early stages of infection, SsPEIE1 is significantly up-regulated. Additionally, transgenic plants expressing SsPEIE1 exhibit increased susceptibility to different phytopathogens. Further investigations revealed that SsPEIE1 interacts with a plasma membrane protein known as hypersensitive induced reaction (HIR) that dampens immune responses. SsPEIE1 is required for S. sclerotiorum virulence on wild-type Arabidopsis but not on Arabidopsis hir4 mutants. Moreover, Arabidopsis hir2 and hir4 mutants exhibit suppressed pathogen-associated molecular pattern-triggered reactive oxygen species (ROS) bursts and salicylic acid (SA)-associated immune gene induction, all of which are phenocopied by the SsPEIE1 transgenic plants. We find that the oligomerization of AtHIR4 is essential for its role in mediating immunity, and that SsPEIE1 inhibits its oligomerization through competitively binding to AtHIR4. Remarkably, both Arabidopsis and rapeseed plants overexpress AtHIR4 display significantly increased resistance to S. sclerotiorum. In summary, these results demonstrate that SsPEIE1 inhibits AtHIR4 oligomerization-mediated immune responses by interacting with the key immune factor AtHIR4, thereby promoting S. sclerotiorum infection. SsPEIE1 is an essential virulence factor of Sclerotinia sclerotiorum. SsPEIE1 interacts with the key immune factor AtHIR4 and inhibits AtHIR4 oligomerization-mediated immune responses in Arabidopsis, thereby promoting S. sclerotiorum infection. [ABSTRACT FROM AUTHOR]

The concerns on the function of Transmembrane protein 173 (TMEM173)-dependent innate immunity in prevention and management of cancers has recently been increased. The role of TMEM173 in predicting the prognosis and response to treatment in lung adenocarcinoma (LUAD) remain unclear. Our study revealed that TMEM173 expression was significantly differential in various tumors and the related prognosis was heterogeneous. Further investigation discovered that the expression level of TMEM173 in LUAD tissues was significantly decreased and high TMEM173 expression is associated with better overall survival in LUAD patients. TMEM173 was mainly enriched in immune response-regulating signaling pathway, T cell activation and cell cycle G2/M phase. Furthermore, it was found that TMEM173 expression was positively related to markers and infiltration levels of tumor-infiltrating immune cells. TMEM173 could predict response to targeted therapy, chemotherapy and immunotherapy in LUAD patients. In vitro TMEM173 knockdown decreased the percentage of G2 phase cells, contributing to the increased growth of lung cancer cells. These results implied that TMEM173 might be a prognostic biomarker and a potential target of precision therapy for LUAD patients. [ABSTRACT FROM AUTHOR]

Tissue interfaces are essential for development and their disruption often leads to diseases such as tumor invasion. Here, we combine experiments, theoretical modeling, and numerical simulations to quantify the morphodynamics of interface in a biphasic system composed of Madin Darby canine kidney (MDCK) and mouse myoblast (C2C12) cells. We show that cellular activity regulates the interface morphodynamics and drives wave propagation along the interface. Based on the dispersion relationship, we identify that the wave dynamics results from the activity-mediated instability of the interface and coherent flow. It is found that the topological defects accumulate around and destabilize the interface and +1/2 topological defects are more likely to aggregate in MDCK cell clusters. A biphasic active nematic theory is employed to reproduce our experimental observations and decipher the underlying mechanisms. These findings provide physical insights into the interfacial evolution that could be implicated in tissue morphogenesis and tumor invasion. Interfaces are ubiquitous in living systems and play pivotal roles in physiological and pathological processes. The authors combine experiments and numerical simulations to investigate morphodynamics of the interface between dissimilar cell aggregations. [ABSTRACT FROM AUTHOR]

Purpose: Stem cell therapy offers a promising solution for congenital diseases like Hirschsprung's disease (HSCR). Optimizing stem cell efficacy by modifying the cells and their environment is crucial, but in vitro culture conditions need to be further improved. Glial cell-derived neurotrophic factor (GDNF) plays an important role in neuronal survival, proliferation, migration and differentiation during enteric nervous system (ENS) development. In this study, the effects of GDNF on neurites derived from an Ednrb knockout model were investigated with the aim of enhancing the neurogenic potential of enteric neural crest cells (ENCCs). Methods: Neurospheres were generated form Ednrb+/+ (control) and Ednrb−/− mice at embryonic day13.5 (E13.5) with Sox10-green fluorescent protein (Venus) transgenic expression. These neurospheres were cultured in control media and neurospheres from Ednrb−/− were cultured with either control media or media supplemented with GDNF. ENCCs differentiation was assessed using immunofluorescence staining after 18 days. Results: GDNF-treated Ednrb−/− neurospheres showed increased size and higher density of Sox10-positive ENCCs compared to untreated Ednrb−/− neurospheres. GDNF also enhanced the distribution of both TUJ1-positive neurons and S100-positive glial cells. Conclusion: GDNF effectively enhanced the neurogenic potential of ENCCs from HSCR animal model. This finding is crucial for the development of cell therapy in HSCR. [ABSTRACT FROM AUTHOR]

Bridging the gap between genotype and phenotype in GWAS studies is challenging. A multitude of genetic variants have been associated with immune-related diseases, including cancer, yet the interpretability of most variants remains low. Here, we investigate the quantitative components in the T cell receptor (TCR) repertoire, the frequency of clusters of TCR sequences predicted to have common antigen specificity, to interpret the genetic associations of diverse human diseases. We first developed a statistical model to predict the TCR components using variants in the TRB and HLA loci. Applying this model to over 300,000 individuals in the UK Biobank data, we identified 2309 associations between TCR abundances and various immune diseases. TCR clusters predicted to be pathogenic for autoimmune diseases were significantly enriched for predicted autoantigen-specificity. Moreover, four TCR clusters were associated with better outcomes in distinct cancers, where conventional GWAS cannot identify any significant locus. Collectively, our results highlight the integral role of adaptive immune responses in explaining the associations between genotype and phenotype. Analyzing the impact of genetic variants on T cell receptor repertoire components reveals the mechanisms behind susceptibility variants in autoimmune diseases and cancers. [ABSTRACT FROM AUTHOR]

In this study, dark tea residue (DTR) and polypropylene (PP) were used as the experimental raw material, and the method that combined wet torrefaction (hydrothermal carbonization) and pyrolysis was used to analyze and study it – analyzing the surface functional group composition of pyrolytic carbon by Fourier infrared spectrometer and analyzing the porosity and specific surface by specific surface area analyzer. We used the GC and the GC-MS to analyze the components of pyrolysis gas and bio-oil. The results showed that wet torrefaction could increase the specific surface area and porosity of solid products and optimize the physical and chemical properties of the surface of pyrolytic carbon. At the same time, it could reduce the oxygen content of liquid products and improve the quality of bio-oil, increase the relative content of CH4and H2in gas products, and improve the availability of pyrolysis gas. The co-pyrolysis could increase the yield of gas products and the hydrogen content of liquid products. [ABSTRACT FROM AUTHOR]

Accurate and efficient identification of water inrush sources, as one of the three critical elements of mine water hazards, is crucial for mine water management. To identify the sources of mine water inrush effectively, a model named HBA-CatBoost is introduced. This model is established on the hybrid bat algorithm (HBA)-optimized category feature gradient boosting tree (CatBoost), and the shapley additive explanation (SHAP) method is employed to elucidate the model's decision-making process. Given the prevalent occurrence of water hazards in coal seam roofs and floors in the northern Guizhou coalfield, coupled with the challenges in pinpointing water inrush sources in mines, the HBA-CatBoost model is tested at the Longfeng Coal Mine in northern Guizhou to validate its practicality. Comparative analysis with the HBA-RF, HBA-XGBoost, CatBoost, RF, and XGBoost models demonstrates that the hybrid bat algorithm significantly enhances the classification performance of the CatBoost model, resulting in improved convergence speed and classification accuracy. The HBA-CatBoost model outperforms the aforementioned models in terms of classification effectiveness, achieving accuracy, recall, precision, and F1 scores of 96.43%, 97.22%, 96.43%, and 96.61%, respectively. The SHAP method elucidates the decision mechanism of the optimal HBA-CatBoost model, highlighting the significance of sample features and bolstering the model's credibility. These outcomes underscore the superior performance of the HBA-CatBoost model and its potential for effectively identifying water inrush sources in mines. [ABSTRACT FROM AUTHOR]

The failure characteristics of roof strata in coal mining and the accurate prediction of mine water inflow are prerequisites for mine safety. Taking a typical coal mine in Southwest China as a case, a new type of similar material suitable for coal mine in exposed karst areas was developed. Through the physical and numerical simulation, the failure characteristics of overlaying rock in karst areas were analyzed. The results showed that the plastic zone developed and accumulated from the roof. After mining, the stress and displacement of overlying rock were divided into three areas along the mining direction. The middle area experienced the maximum change. Overall, the height of falling and water-conducting fracture zones in karst exposed areas was slightly lower than that in other areas. And then, the hydrogeological structure considering the water-conducting fracture zone was rationally generalized, and a three-dimensional numerical model for predicting mine water inflow was built. It was found that the numerical simulation method had the minimum error and the maximum accuracy than other traditional methods, and its results were the closest to the measured value, which could more truly reflect the dynamic formation process of mine water inflow. [ABSTRACT FROM AUTHOR]

Data on discrete, isolated attributes of the marine economy are often used in traditional marine economic research. However, as the focus of urban research shifts from internal static attributes to external dynamic linkages, the importance of marine economic network research is beginning to emerge. The construction of the marine economic network in China's coastal areas is necessary to change the flow of land and sea resources and optimize regional marine economic development. Employing data from headquarters and branches of sea-related A-share listed enterprises to construct the marine economic network in China, we use social network analysis (SNA) to discuss the characteristics of its evolution as of 2010, 2015, and 2020 and its governance. The following results were obtained. 1) In terms of topological characteristics, the scale of the marine economic network in China's coastal areas has accelerated and expanded, and the connections have become increasingly close; thus, this development has complex network characteristics. 2) In terms of spatial structure, the intensity of the connection fluctuates and does not form stable development support; the group structure gradually becomes clear, but the overall pattern is fragmented; there are spatial differences in marine economic agglomeration radiation; the radiation effect of the eastern marine economic circle is obvious; and the polarization effect of northern and southern marine economic circles is significant. On this basis, we construct a framework for the governance of a marine economic network with the market, the government, and industry as the three governing bodies. By clarifying the driving factors and building objectives of marine economic network construction, this study aims to foster the high-quality development of China's marine economy. [ABSTRACT FROM AUTHOR]

Topic detection is an information processing technology designed to help people deal with the growing problem of data information on the Internet. In the research literature, topic detection methods are used for topic classification through word embedding, supervised-based and unsupervised-based approaches. However, most methods for topic detection only address the problem of clustering and do not focus on the problem of topic detection accuracy reduction due to the cohesiveness of topics. Also, the sequence of biterm during topic detection can cause substantial deviations in the detected topic content. To solve the above problems, this paper proposes a topic detection method based on KM-LSH fusion algorithm and improved BTM model. KM-LSH fusion algorithm is a fusion algorithm that combines K-means clustering and LSH refinement clustering. The proposed method can solve the problem of cohesiveness of topic detection, and the improved BTM model can solve the influence of the sequence of biterm on topic detection. First, the text vector is constructed by processing the collected set of microblog texts using text preprocessing methods. Secondly, the KM-LSH fusion algorithm is used to calculate text similarity and perform topic clustering and refinement. Finally, the improved BTM model is used to model the texts, which is combined with the word position and the improved TF-IDF weight calculation algorithm to adjust the microblogging texts in clustering. The experiment results indicate that the proposed KM-LSH-IBTM method improves the evaluation indexes compared with the other three topic detection methods. In conclusion, the proposed KM-LSH-IBTM method promotes the processing capability of topic detection in terms of cohesiveness and the sequence of biterm. [ABSTRACT FROM AUTHOR]

Background: Hepatocellular carcinoma (HCC) is the most common primary liver cancer worldwide. Multiple observational studies demonstrated a negative association between the use of antithrombotic agents and the risk of HCC. However, the precise causal relationship between these factors remains uncertain. Therefore, our study used a two-sample Mendelian randomization (MR) analysis to assess the causal link between these two factors. Method: The summary statistics of single nucleotide polymorphisms (SNPs) associated with the use of antithrombotic agents were acquired from a genome-wide association study (GWAS) performed on individuals of European descent. A two-sample MR analysis was performed using the inverse variance weighting (IVW), the weighted median estimate, the MR-Egger regression, and the weighted-mode estimate. Sensitivity analysis of the primary findings was performed using MR-PRESSO, MR-Egger regression, Cochran’s Q test, and Leave-one-out analysis. Results: Ten SNPs associated with the use of antithrombotic agents were selected as instrumental variables. The MR analysis performed using the four methods mentioned above revealed a negative causal association between the use of antithrombotic agents and HCC. Univariate MR estimates based on the inverse variance weighting (IVW) method suggested a negative causal association between the use of antithrombotic agents and HCC [odds ratio (OR) 0.444, 95% confidence interval (CI) 0.279 to 0.707, P = 0.001]. The other methods also produced similar results. No heterogeneity and horizontal pleiotropy were found. Conclusion: Our findings suggested an inverse causal association of antithrombotic agents with the risk of HCC. [ABSTRACT FROM AUTHOR]

Treatment options for patients with esophageal squamous cell carcinoma (ESCC) often result in poor prognosis and declining health-related quality of life. Screening FDA-approved drugs for cancer chemoprevention is a promising and cost-efficient strategy. Here, we found that dronedarone, an antiarrhythmic drug, could inhibit the proliferation of ESCC cells. Moreover, we conducted phosphorylomics analysis to investigate the mechanism of dronedarone-treated ESCC cells. Through computational docking models and pull-down assays, we demonstrated that dronedarone could directly bind to CDK4 and CDK6 kinases. We also proved that dronedarone effectively inhibited ESCC proliferation by targeting CDK4/CDK6 and blocking the G0/G1 phase through RB1 phosphorylation inhibition by in vitro kinase assays and cell cycle assays. Subsequently, we found that knocking out CDK4 and CDK6 decreased the susceptibility of ESCC cells to dronedarone. Furthermore, dronedarone suppressed the growth of ESCC in patient-derived tumor xenograft models in vivo. Thus, our study demonstrated that dronedarone could be repurposed as a CDK4/6 inhibitor for ESCC chemoprevention. [ABSTRACT FROM AUTHOR]

Background: This meta-analysis was dedicated to evaluating the effectiveness and safety of Atezolizumab plus Bevacizumab (Atez/Bev) and Lenvatinib (LEN) as first-line systematic therapy for unresectable hepatocellular carcinoma (u-HCC). Methods: The prospective protocol for this study was registered with the PROSPERO (Registration number: CRD42022356874). Literature searches were conducted in PubMed, EMBASE database Cochrane Library, and Web Science to determine all clinical controlled studies that reported Atez/Bev and LEN for treating u-HCC. We. evaluated as primary end-point overall survival (OS) and progression-free survival (PFS), as well as other outcomes such as tumor response and adverse events (AEs).Quality assessment and data extraction of studies were conducted independently by three reviewers. Mean difference (MD) and odds ratio (OR) with 95% confidence interval (CI) were calculated using a fixed-effects or random-effects model. The meta-analysis was performed with RevMan 5.3 software. Results: 12 retrospective cohort studies (RCSs) involving a total of 4948 patients were finally included. The results showed that compared with LEN, Atez/Bev can improve the patient's PFS (HR = 0.80, 95% CI: 0.72 ~ 0.88; p < 0.0001) and reduce the rate of overall AEs (OR = 0.46 95% CI: 0.38 ~ 0.55, p < 0.00001) and grade ≥ 3 AEs (OR = 0.43; 95% CI: 0.36 ~ 0.51, p < 0.00001), while there is no difference between OS and treatment responses rate (objective response rate, disease control rate, complete response, partial response, progressive disease, and stable disease) between two groups. In addition, the subgroup analysis shows that Atez/Bev can promote the OS of patients with viral hepatitis. (HR = 0.79, 95% CI: 0.67 ~ 0.95; p = 0.01), while LEN has an advantage in improving OS in patients with Child-Pugh grade B liver function (HR = 1.98, 95% CI: 1.50 ~ 2.63; p < 0.00001). Conclusion: Current evidence shows that compared with LEN, Atez/Bev has more advantages in PFS and safety in treating u-HCC and can improve the OS of patients with viral. LEN has advantages in improving the OS of patients with grade B liver function. However, more multicenter randomized controlled experiments are needed in the future to verify our results. [ABSTRACT FROM AUTHOR]

Base editors show promise for treating human genetic diseases, but most current systems use deaminases, which cause off-target effects and are limited in editing type. In this study, we constructed deaminase-free base editors for cytosine (DAF-CBE) and thymine (DAF-TBE), which contain only a cytosine-DNA or a thymine-DNA glycosylase (CDG/TDG) variant, respectively, tethered to a Cas9 nickase. Multiple rounds of mutagenesis by directed evolution in Escherichia coli generated two variants with enhanced base-converting activity—CDG-nCas9 and TDG-nCas9—with efficiencies of up to 58.7% for C-to-A and 54.3% for T-to-A. DAF-BEs achieve C-to-G/T-to-G editing in mammalian cells with minimal Cas9-dependent and Cas9-independent off-target effects as well as minimal RNA off-target effects. Additional engineering resulted in DAF-CBE2/DAF-TBE2, which exhibit altered editing windows from the 5′ end to the middle of the protospacer and increased C-to-G/T-to-G editing efficiency of 3.5-fold and 1.2-fold, respectively. Compared to prime editing or CGBEs, DAF-BEs expand conversion types of base editors with similar efficiencies, smaller sizes and lower off-target effects. Base editors lacking a deaminase improve thymine and cytosine conversion. [ABSTRACT FROM AUTHOR]

Background and Objectives: Due to the increasing demand for improving the morphology and function of the external genitalia amongst women, it is necessary to conduct statistical analysis of research data on female genital reconstruction. The current study aimed to use bibliometric analysis to analyse the research hotspots and trend frontiers of the female genital reconstructive research. Methods: Publications on the female genital reconstructive research were extracted from the Web of Science Core Collection database. VOSviewer 1.6.18 was used to establish visualisation maps and find top authors, institutions, countries, burst keywords, co-cited authors, journals, research hotspots, and trends. Results: A total of 2207 studies published by 364 different journals authored by 7479 researchers were contained in this study. In the co-authorship analysis, the bulk of the retrieved studies was conducted by the USA, followed by England, Italy, and Netherlands, whilst the most productive institution, journal, and author were U.S. Univ Calif San Francisco, Journal of Sexual Medicine, and Bouman Mark-Bram, respectively. In the co-cited analysis, the top most-cited author and journal were Hage JJ and Journal of Sexual Medicine, respectively. The map of keywords occurrence revealed the most active research aspects were focussed on "vaginoplasty", "feminised genitoplasty", "laser treatment of vaginal atrophy", "transsexualism", and "labiaplasty". The time overlay mapping showed that the study of female genital plastic surgery focusses on the energetic treatment of genitourinary syndromes caused by transsexualism and menopause, especially by using management and treatment of vulvovaginal atrophy for the research trends, and through the vaginoplasty, feminising genioplasty, and laser treatments in the direction of treatments related to physical and mental problems. Interpretation and Conclusions: This novel inclusive bibliometric analysis can help research workers to quickly understand the potential and active researchers, landmark studies, and topics within their interests. We are willing to provide more beneficial data to contribute valuable research of female genital plastic surgery through this study. Level of Evidence III: The journal asks authors to assign a level of evidence to each article. For a complete description of Evidence-Based Medicine ratings, see the Table of Contents or the online Instructions for Authors at www.springer.com/00266. [ABSTRACT FROM AUTHOR]

Based on Social Information Processing Theory, this paper examines the mechanism of secure-base leadership's influence on employee radical innovation, especially the mediating role of employee boundary-spanning behavior and the moderating role of environmental uncertainty through questionnaire survey method (Study 1) and experimental method (Study 2). The results of the study show that secure-base leadership has a positive influence on employee radical innovation; employee boundary-spanning behavior plays a partial mediating role between secure-base leadership and employee radical innovation; environmental uncertainty moderates the relationship between secure-base leadership and employee boundary-spanning behavior positively; environmental uncertainty moderates the mediating role of employee boundary-spanning behavior between secure-base leadership and employee radical innovation. [ABSTRACT FROM AUTHOR]

T cell senescence alters the homeostasis of distinct T cell populations and results in decayed adaptive immune protection in older individuals, but a link between aging and dynamic T cell clone changes has not been made. Here, using a newly developed computational framework, Repertoire Functional Units (RFU), we investigate over 6500 publicly available TCR repertoire sequencing samples from multiple human cohorts and identify age-associated RFUs consistently across different cohorts. Quantification of RFU reduction with aging reveals accelerated loss under immunosuppressive conditions. Systematic analysis of age-associated RFUs in clinical samples manifests a potential link between these RFUs and improved clinical outcomes, such as lower ICU admission and reduced risk of complications, during acute viral infections. Finally, patients receiving bone marrow transplantation show a secondary expansion of the age-associated clones upon stem cell transfer from younger donors. Together, our results suggest the existence of a 'TCR clock' that could reflect the immune functions in aging populations. Immune aging is associated with altered homeostasis of distinct T cell populations, but a link to clonal dynamic is still not made. Here the authors develop a new framework, Repertoire Functional Units (RFU), and use public TCR sequences to find specific TCR clonal changes that correlate with aged immune repertoires or outcomes of acute viral infection. [ABSTRACT FROM AUTHOR]

Multi-functional cysteine-targeting covalent warheads possess significant therapeutic potential in medicinal chemistry and chemical biology. Herein, we present novel unsaturated and asymmetric ketone (oxazolinosene) scaffolds that selectively conjugate cysteine residues of peptides and bovine serum albumin under normal physiological conditions. This unsaturated saccharide depletes GSH in NCI-H1299 cells, leading to anti-tumor effects in vitro. The acetyl group of the ketal moiety on the saccharide ring can be converted to other carboxylic acids in a one-pot synthesis. In this way, the loaded acid can be click-released during cysteine conjugation, making the oxazolinosene a potential multifunctional therapeutic agent. The reaction kinetic model for oxazolinosene conjugation to GSH is well established and was used to evaluate oxazolinosene reactivity. The aforementioned oxazolinosenes were stereoselectively synthesized via a one-step reaction of nitriles with saccharides and conveniently converted into a series of α, β-unsaturated ketone N-glycosides as prevalent synthetic building blocks. The reaction mechanisms of oxazolinosene synthesis were investigated through calculations and validated with control experiments. Overall, these oxazolinosenes can be easily synthesized and developed as cysteine-targeted covalent warheads carrying useful click-releasing groups. Multifunctional cysteine targeting covalent warheads possess significant therapeutic potential in medicinal chemistry and chemical biology. Here, the authors develop an oxazolinosene scaffold from nitrile groups and saccharides that can selectively conjugate cysteine residues within peptides and proteins under physiological conditions, as well as deplete glutathione in cancer cells. [ABSTRACT FROM AUTHOR]

Osteoarthritis (OA) is a chronic degenerative disease characterized by articular cartilage destruction and subchondral bone reconstruction in the early stages. Bergenin (Ber) is a cytoprotective polyphenol found in many medicinal plants. It has been proven to have anti-inflammatory, antioxidant, and other biological activities, which may reveal its potential role in the treatment of OA. This study aimed to determine the potential efficacy of Ber in treating OA and explore the possible underlying mechanism through network pharmacology and validation experiments. The potential co-targets and processes of Ber and OA were predicted by using network pharmacology, including a Venn diagram for intersection targets, a protein‒protein interaction (PPI) network to obtain key potential targets, and GO and KEGG pathway enrichment to reveal the probable mechanism of action of Ber on OA. Subsequently, validation experiments were carried out to investigate the effects and mechanisms of Ber in treating OA in vitro and vivo. Ber suppressed IL-1β-induced chondrocyte apoptosis and extracellular matrix catabolism by inhibiting the STAT3, NF-κB and Jun signalling pathway in vitro. Furthermore, Ber suppressed the expression of osteoclast marker genes and RANKL-induced osteoclastogenesis. Ber alleviated the progression of OA in DMM-induced OA mice model. These results demonstrated the protective efficacy and potential mechanisms of Ber against OA, which suggested that Ber could be adopted as a potential therapeutic agent for treating OA. [ABSTRACT FROM AUTHOR]

Computational intelligence (CI) has become one of the most useful and successful tools for dealing with uncertainties and complex problems in many fields, such as neural networks, genetic algorithms, and swarm intelligence, artificial intelligence, risk management, financial monitoring, etc. With the development of CI, abundant publications have arisen related to many research directions and hotspots. Based on the technical support from bibliometrics and the corresponding approach as well as the content analysis, this study conducts a science mapping analysis and a coherent knowledge picture of the research field in CI. The research contributes to clear future development trends and provides more ideas for scholars in this field. First, this paper focuses on the fundamental characteristics of CI publications, including annual numbers, term co-occurrence, and hot research directions, as the preliminary exploration of this field. Then, according to the widely used core database, i.e., Web of Science (WoS), and the technologies of software, VOS viewer, and CiteSpace, the productive institutions, authors, and journals are explored. Next, the corresponding internal characteristics of the CI research are analyzed, including the citation features of countries/regions, institutions, journals and authors. Furthermore, to analyze the development trend of research hotspots, the keywords of all CI publications are studied: (a) classifying them into three phases in chronological order aimed; (b) implementing the burst detection algorithm to intuitively reflect the scientific research in the field of CI. Finally, this paper provides a relatively throughout perspective for the CI articles and reviews and discloses the future development trend, which will help the scholars interested in this area conduct deep research. We conclude this bibliometric overview with the limitations and recommendations for future research in the field of CI. [ABSTRACT FROM AUTHOR]

Background: N-acetyltransferase 10 (NAT10), the only RNA cytosine acetyltransferase known in humans, contributes to cancer tumorigenesis and progression. This study aims to investigate the effect of NAT10 on the malignant biological properties of gastric cancer (GC) and its underlying mechanism. Methods: The expression and prognostic significance of NAT10 in GC were analyzed using The Cancer Genome Atlas (TCGA) and Sun Yat-sen University (SYSU) cohorts. The influence of NAT10 on the malignant biological behaviors of GC was detected by Cell Counting Kit-8 (CCK-8) assay, plate colony formation assay, 5-ethynyl-2′-deoxyuridine (EdU), Transwell migration and invasion assays, scratch wound assay, flow cytometric analysis, and animal studies. The overall level of N4 acetylcytidine (ac4C) in GC was detected by liquid chromatography with tandem mass spectrometry (LC–MS/MS). The downstream signal pathways of NAT10 were analyzed by Gene Set Enrichment Analysis (GSEA) and verified by Western blot (WB) and immunofluorescence (IF). Results: The significant upregulation of NAT10 expression in GC was associated with a poor prognosis. The knockdown of NAT10 markedly suppressed GC cell proliferation, migration, invasion, and cell cycle progression. Downregulating NAT10 reduced ac4C levels and inhibited AKT phosphorylation and epithelial–mesenchymal transition (EMT) in GC. Conclusions: NAT10 functions as an oncogene and may provide a new therapeutic target in GC. [ABSTRACT FROM AUTHOR]

Rapid anthropogenic climate change has elevated the interest in studying the biotic responses of species during the Last Glacial Maximum. During this period, species retreated to highly spatially restricted geographic regions where survival was possible, known as glacial micro-refugia, from which they migrated and expanded when conditions became more suitable. Several distinct sources of evidence have contributed to developing a new understanding of how these regions might have impacted the sustainability of the natural populations of many species. Pollen records in Eastern Beringia have been used to explore the possibility that the region harbored glacial refugia for several plants from the arctic tundra and/or the boreal forest biomes common to the region. Our study focuses on Alnus viridis and Picea glauca, two predominant species of arcto-boreal vegetation. We propose to integrate genomic, SDM, and existing fossil data in a hierarchical Bayesian modeling (HBM) framework to determine whether multiple refugia existed in isolated geographic areas. This study demonstrates how the flexibility of HBMs makes the formal synthesis of such disparate data sources feasible. Our results highlight the regions of plausible refugia that can guide future investigations into studying the role of glacial refugia during climate change. Supplementary materials accompanying this paper appear online. [ABSTRACT FROM AUTHOR]

Data enhancement methods need to be carefully considered and studied for the widespread application of machine vision and deep learning in the mining field. Generative adversarial networks (GANs) prove successful at generating data. However, training a high-resolution image generation network depends on a large-scale dataset and takes a long time. For coal gangue detection, this paper proposes a stride-and-transpose-based progressive generative adversarial network (STP-GAN), which can achieve fast training on a few samples and generate high-resolution images in size of 10242. We employ stride convolutions, up-sampling, and average pooling to construct the model progressively and introduce noise and style optimization. We propose a hidden-layer-frozen progressive training scheme according to the model construction. Compared with other test GANs, STP-GAN generates more authentic and diverse images. The test results of advanced object detection models show that after the auxiliary training of STP-GAN, the mean average precision and average recall of coal–gangue detection are increased by up to 6.92% and 20.39%, respectively. The proposed method can effectively improve the accuracy of coal–gangue detection through data optimization. [ABSTRACT FROM AUTHOR]

As a renewable, biocompatible, biodegradable soft material, chitin hydrogels have better advantages in stability, antibacterial activity, antifouling, cost, immunogenicity, and so on than most polymer hydrogels. However, compared with other widely used polymer hydrogels with high strength and toughness, the practical applications of chitin-based hydrogels have been limited by their weak mechanical properties, such as cartilage repair and meniscus replacement. Here, we present the design and fabrication of chitin hydrogels with excellent mechanical strength and toughness by a dehydration and rehydration strategy. By sequential dehydration and rehydration processes, the crystalline domains in the chitin hydrogels can be properly controlled. With optimized crystallinity, the elastic modulus of the chitin hydrogels exceeds all previously reported values, and the fracture toughness is even comparable to some synthetic polymer hydrogels, while maintaining a high-water-content of about 80 wt.%. At the same water content, the mechanical properties of the chitin hydrogels are positively correlated with the hydrogel crystallinity, which proves that the change of mechanical properties of hydrogels is not simply dependent on weight concentration. The hydrogels can be further strengthened by incorporating other biopolymers that are intrinsically weak, which makes the hydrogels promising for applications in fields such as cartilage repair and meniscus replacement. Moreover, the hydrogels enable loading and release of water-soluble and poorly water-soluble drugs. This highly extendable strengthening and toughening strategy of chitin and chitin-based biopolymer hydrogels paves the way for their widely applications. [ABSTRACT FROM AUTHOR]

Quantum uncertainty relations constrain the precision of measurements across multiple non-commuting quantum mechanical observables. Here, we introduce the concept of optimal observable sets and define the tightest uncertainty constants to accurately describe these measurement uncertainties. For any quantum state, we establish optimal sets of three observables for both product and summation forms of uncertainty relations, and analytically derive the corresponding tightest uncertainty constants. We demonstrate that the optimality of these sets remains consistent regardless of the uncertainty relation form. Furthermore, the existence of the tightest constants excludes the validity of standard real quantum mechanics, underscoring the essential role of complex numbers in this field. Additionally, our findings resolve the conjecture posed in [Phys. Rev. Lett. 118, 180402 (2017)], offering novel insights and potential applications in understanding preparation uncertainties. [ABSTRACT FROM AUTHOR]

In this paper, CO is used as reductant in the process of copper slag cleaning, which can reduce the Fe3O4 content and improve the settling environment of copper in slag. The results showed that the Fe3O4 content and converter slag viscosity decrease with the increase in reduction temperature and time. The system temperature and reduction time have important effects on the CO utilization ratio. According to the variation of Fe3O4 reduction degree, the kinetic of the reduction process between CO and Fe3O4 at 1250–1350 °C was studied. It was found that the [ - ln 1 - X ] 2 3 = k t accords with the kinetic equation of cleaning process of copper slag by CO. The apparent activation energy of reaction process was 313 kJ/mol, and the reaction rate was controlled by the interface chemical reaction. [ABSTRACT FROM AUTHOR]

TiN–Ag@Ag composite substrates were prepared via ammonia reduction nitridation followed by electrochemical deposition. Fabricated TiN–Ag@Ag substrates were characterized using X-ray diffraction, X-ray photoelectron spectroscopy, scanning electron microscopy, transmission electron microscopy, and ultraviolet-visible spectrophotometry. The surface-enhanced Raman spectroscopy activity of these substrates was evaluated using ibuprofen as the probe molecule. The size of the Ag particles prepared via electrochemical deposition was approximately 1 μm, and Ag nanoparticles with an average particle size of 100 nm were uniformly distributed on the surface of TiN–Ag films. The Raman signal of ibuprofen was significantly enhanced, and the minimum detection concentration of ibuprofen was 10–5 M. The mechanism by which the TiN–Ag@Ag composite substrate enhanced the Raman signals was analyzed using ultraviolet photoelectron spectroscopy and density functional theory implemented in the Gaussian software. Overall, charge transfer and the local electromagnetic field effect enhanced the Raman signals of ibuprofen. [ABSTRACT FROM AUTHOR]

Iron oxide (Fe2O3) emerges as a highly attractive anode candidate among rapidly expanding energy storage market. Nonetheless, its considerable volume changes during cycling as an electrode material result in a vast reduced battery cycle life. In this work, an approach is pioneered for preparing high-performance Fe2O3 anode materials, by innovatively synthesizing a triple-layer yolk-shell Fe2O3 uniformly coated with a conductive polypyrrole (Ppy) layer (Fe2O3@Ppy-TLY). The uniform polypyrrole coating introduces more reaction sites and adsorption sites, and maintains structure stability through charge-discharge process. In the uses as lithium-ion battery electrodes, Fe2O3@Ppy-TLY demonstrates high reversible specific capacity (maintaining a discharge capacity of 1375.11 mAh·g−1 after 500 cycles at 1 C), exceptional cycling stability (retaining the steady charge-discharge performance at 544.33 mAh·g−1 after 6000 ultrafast charge-discharge cycles at a 10 C current density), and outstanding high current charge-discharge performance (retaining a reversible capacity of 156.75 mAh·g−1 after 10000 cycles at 15 C), thereby exhibiting superior lithium storage performance. This work introduces innovative advancements for Fe2O3 anode design, aiming to enhance its performance in energy storage fields. [ABSTRACT FROM AUTHOR]

Molybdenum (Mo) plays an important role in maintaining plant growth and human health. Assessment studies on the driving factors of Mo migration in soil-crop systems are crucial for ensuring optimal agricultural and human health. The Mo bioconcentration factor (BCF-Mo) is a useful tool for evaluating Mo bioavailability in soil-crop systems. However, the influence pathways and degrees of different environmental factors on BCF-Mo remain poorly understood. In this context, 109 rhizosphere and maize grain samples were collected from the Longitudinal Range–Gorge Region (LRGR) in Linshui County, Sichuan Province, China, and analyzed for the contents of Mo and other soil physiochemical parameters to explore the spatial patterns of BCF-Mo and its driving factors. Areas with the highest BCF-Mo values were mainly observed in the southern and northern parts of the Huaying and Tongluo mountains. The influence degrees of the selected environmental factors in this study followed the order of normalized difference vegetation index (NDVI) < elevation (EL) < mean annual humidity (MAH) < slope (SL) < mean annual temperature (MAT). The MAH and NDVI directly influenced the BCF-Mo values. The EL and MAT mainly indirectly affected the BCF-Mo values by influencing the rhizosphere organic matter (OM) contents, while the SL mainly affected the BCF-Mo values by influencing the rhizosphere pH. Therefore, OM and pH of the rhizosphere were the main influencing factors of BCF-Mo in the study area. In summary, the selected environmental factors mainly exhibited indirect influences on BCF-Mo by directly affecting the physicochemical properties of the rhizosphere. [ABSTRACT FROM AUTHOR]

In order to study the tensile properties and crack evolution of bedding coal under splitting load, Brazilian splitting tests were conducted on bedding coal. Results indicate distinct anisotropic mechanical properties of bedding coal. When the bedding dip angle is 0°, the coal sample exhibits the highest tensile strength and splitting modulus, followed by 30° and 90°, with the lowest values observed at 60°. Under the Brazilian splitting load, the crack propagation mechanism for coal samples with a bedding dip angle of 0° involves a combined tension-shear fracture. For dip angles of 0° and 60°, the crack propagation mechanism gradually shifts from tension-shear to tension failure, while at 90°, the crack propagation mechanism is primarily along the bedding plane in tension. The tensile failure characteristics of coal samples with bedding dip angles of 60° and 90° are more pronounced, and the load- acoustic emission parameter curve shows distinct bedding features. In the case of a 30° bedding dip angle, the failure is mainly due to a combined shear and tension cracking, with the acoustic emission counts exhibiting a multi-stage growth pattern. Furthermore, this study explores the implications of bedding coal fracture morphology for fracturing. [ABSTRACT FROM AUTHOR]

Polyolefins, widely used for packaging, construction, and electronics, facilitate daily life but cause severe environmental pollution when discarded after usage. Chemical recycling of polyolefins has received widespread attention for eliminating polyolefin pollution, as it is promising to convert polyolefin wastes to high-value chemicals (e.g., fuels, light olefins, aromatic hydrocarbons). However, the chemical recycling of polyolefins typically involves high-viscosity, high-temperature and high-pressure, and its efficiency depends on the catalytic materials, reaction conditions, and more essentially, on the reactors which are overlooked in previous studies. Herein, this review first introduces the mechanisms and influencing factors of polyolefin waste upcycling, followed by a brief overview of in situ and ex situ processes. Emphatically, the review focuses on the various reactors used in polyolefin recycling (i.e., batch/semi-batch reactor, fixed bed reactor, fluidized bed reactor, conical spouted bed reactor, screw reactor, molten metal bed reactor, vertical falling film reactor, rotary kiln reactor and microwave-assisted reactor) and their respective merits and demerits. Nevertheless, challenges remain in developing highly efficient reacting techniques to realize the practical application. In light of this, the review is concluded with recommendations and prospects to enlighten the future of polyolefin upcycling. [ABSTRACT FROM AUTHOR]

The free-field switching of the perpendicular magnetization by the out-of-plane polarized spin current induced spin-orbit torque makes it a promising technology for developing high-density memory and logic devices. The materials intrinsically with low symmetry are generally utilized to generate the spin current with out-of-plane spin polarization. However, the generation of the out-of-plane polarized spin current by engineering the symmetry of materials has not yet been reported. Here, we demonstrate that paramagnetic CaRuO3 films are able to generate out-of-plane polarized spin current by engineering the crystal symmetry. The non-uniform oxygen octahedral tilt/rotation along film's normal direction induced by oxygen octahedral coupling near interface breaks the screw-axis and glide-plane symmetries, which gives rise to a significant out-of-plane polarized spin current. This spin current can drive field-free spin-orbit torque switching of perpendicular magnetization with high efficiency. Our results offer a promising strategy based on crystal symmetry design to manipulate spin current and could have potential applications in advanced spintronic devices. The authors realize generation of out-of-plane polarized spin current in perovskite oxide CaRuO3 with reduced crystal symmetry by engineering the oxygen octahedra, which can drive efficient field-free switching of perpendicular magnetization. [ABSTRACT FROM AUTHOR]

Hot-carrier transistors are a class of devices that leverage the excess kinetic energy of carriers. Unlike regular transistors, which rely on steady-state carrier transport, hot-carrier transistors modulate carriers to high-energy states, resulting in enhanced device speed and functionality. These characteristics are essential for applications that demand rapid switching and high-frequency operations, such as advanced telecommunications and cutting-edge computing technologies1–5. However, the traditional mechanisms of hot-carrier generation are either carrier injection6–11 or acceleration12,13, which limit device performance in terms of power consumption and negative differential resistance14–17. Mixed-dimensional devices, which combine bulk and low-dimensional materials, can offer different mechanisms for hot-carrier generation by leveraging the diverse potential barriers formed by energy-band combinations18–21. Here we report a hot-emitter transistor based on double mixed-dimensional graphene/germanium Schottky junctions that uses stimulated emission of heated carriers to achieve a subthreshold swing lower than 1 millivolt per decade beyond the Boltzmann limit and a negative differential resistance with a peak-to-valley current ratio greater than 100 at room temperature. Multi-valued logic with a high inverter gain and reconfigurable logic states are further demonstrated. This work reports a multifunctional hot-emitter transistor with significant potential for low-power and negative-differential-resistance applications, marking a promising advancement for the post-Moore era.A mixed-dimensional hot-emitter transistor based on mixed-dimensional graphene/germanium Schottky junctions uses stimulated emission of heated carriers, achieving an ultralow subthreshold swing and a high negative differential resistance. [ABSTRACT FROM AUTHOR]

Axial ultrasonic vibration-assisted micro-milling (UVAM) has emerged as an advanced technique that can be tailored to improve the machinability of difficult-to-machine materials such as 316L stainless steel. This article sets out to meticulously compare and analyze the cutting performance of conventional milling (CM) and UVAM techniques in the side milling of 316L stainless steel. The cutting separation characteristics of UVAM of 316L stainless steel are elucidated, and the air-cutting ratio in UVAM is introduced. The relationship between the air cutting ratio and spindle speed is also derived. Based on theory, the finite element simulation and experiments are compared under both milling conditions. An analysis of the results for these two sections is presented to validate the theoretical derivation. The results show that the trend and analysis of the experimental cutting forces are aligned with those in the simulation. The cutting forces also confirm the reliability of the simulation results. Due to factors such as tool wear, there is a deviation of 5–20% between the experimental values and the simulation results. A chip variation analysis in the simulation also corresponds to the trend in cutting temperature. An evaluation of the surface morphology and roughness of the experimental samples reveals that the surface quality and smoothness under UVAM are superior to those under CM. Tool wear analysis indicates that the carbide tool undergoes severe wear in the side milling of 316L stainless steel. In summary, the simulation and experiments convincingly demonstrate the advantages of UVAM technology and provide a reference for optimizing the milling process of challenging materials. [ABSTRACT FROM AUTHOR]

Background: Radical surgery remains the primary option for locally recurrent rectal cancer (LRRC) as it has the potential to considerably extend the patient's lifespan. At present, the effectiveness of laparoscopic surgery for LRRC remains unclear. Methods: The clinical data of patients with LRRC who were admitted to the Cancer Hospital of the Chinese Academy of Medical Sciences between 2015 and 2021 were retrospectively analyzed in this study. Patients were categorized into two groups, namely the open group and the laparoscopic group, based on the surgical method used. Propensity score matching was used to reduce baseline differences. The short-term outcomes and long-term survival between the two groups were compared. Results: Curative surgery was performed on 111 patients who were diagnosed with LRRC. After propensity score matching, a total of 80 patients were included and divided into the laparoscopic group (40 patients) and the open group (40 patients). The laparoscopic group had less intraoperative bleeding (100 vs. 300, P = 0.011), a lower postoperative complication rate (20.0% vs. 42.5%, P = 0.030), a lower incidence of wound infection (0 vs. 15.0%, P = 0.026), and a shorter time to first flatus (2 vs. 3, P = 0.005). The laparoscopic group had higher 3-year overall survival (85.4% vs. 57.5%, P = 0.016) and 3-year disease-free survival (63.9% vs 36.5%, P = 0.029). Conclusions: In comparison to open surgery, laparoscopic surgery is linked to less bleeding during the operation, quicker recovery after the surgery, and a lower incidence of infections at the surgical site. Moreover, laparoscopic surgery for LRRC might yield superior long-term survival outcomes. [ABSTRACT FROM AUTHOR]