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Executives trade more profitably and opportunistically over the course of the tenure of independent directors (IDs). IDs' increased connections with and hence allegiance to executives are likely the channel through which ID tenure can affect executive trading. Executive opportunism is mitigated by disciplinary factors that include the presence of a firm's internal trading policy, blockholders, and IDs with legal expertise as well as the risk of shareholder-initiated derivative lawsuits. These results point to an association between long-tenured IDs and weakened corporate governance. [ABSTRACT FROM AUTHOR]

Glioma is the most common malignant tumor in the brain, accounting for over 80% of all primary intracranial tumors. The current clinical treatment has shown certain limitations. Although M1 type microglia can secrete various pro-inflammatory cytokines and are expected to be used for glioma treatment, direct use of microglia may lead to overactivation and trigger immune storms. Therefore, we first found that serum starvation can stimulate the transformation of microglia into M1 type. Subsequently, we found through comparative experiments that the inhibitory effect of microglial cell lysis medium on glioma cells was stronger than that of microglial cell culture medium. Finally, we successfully prepared sodium alginate hydrogel loaded with microglia lysis solution to achieve sustained inhibitory effect on the growth of glioma and avoid its proliferation. [ABSTRACT FROM AUTHOR]

Background: Hydroxynitrile lyases (HNLs) are a class of hydrolytic enzymes from a wide range of sources, which play crucial roles in the catalysis of the reversible conversion of carbonyl compounds derived from cyanide and free cyanide in cyanogenic plant species. HNLs were also discovered in non-cyanogenic plants, such as Arabidopsis thaliana, and their roles remain unclear even during plant growth and reproduction. Methods and results: The pattern of expression of the HNL in A. thaliana (AtHNL) in different tissues, as well as under abiotic stresses and hormone treatments, was examined by real-time quantitative reverse transcription PCR (qRT-PCR) and an AtHNL promoter-driven histochemical β-glucuronidase (GUS) assay. AtHNL is highly expressed in flowers and siliques, and the expression of AtHNL was dramatically affected by abiotic stresses and hormone treatments. The overexpression of AtHNL resulted in transgenic A. thaliana seedlings that were more tolerance to mannitol and salinity. Moreover, transgenic lines of A. thaliana that overexpressed this gene were less sensitive to abscisic acid (ABA). Altered expression of ABA/stress responsive genes was also observed in hnl mutant and AtHNL-overexpressing plants, suggesting AtHNL may play functional roles on regulating Arabidopsis resistance to ABA and abiotic stresses by affecting ABA/stress responsive gene expression. In addition, the overexpression of AtHNL resulted in earlier flowering, whereas the AtHNL mutant flowered later than the wild type (WT) plants. The expression of the floral stimulators CONSTANS (CO), SUPPRESSOR OF OVER EXPRESSION OF CO 1 (SOC1) and FLOWERING LOCUS T (FT) was upregulated in plants that overexpressed AtHNL when compared with the WT plants. In contrast, expression of the floral repressor FLOWERING LOCUS C (FLC) was upregulated in AtHNL mutants and downregulated in plants that overexpressed AtHNL compared to the WT plants. Conclusion: This study revealed that AtHNL can be induced under abiotic stresses and ABA treatment, and genetic analysis showed that AtHNL could also act as a positive regulator of abiotic stress and ABA tolerance, as well as flowering time. [ABSTRACT FROM AUTHOR]

Since the discovery of the first peroxidase nanozyme (Fe3O4), numerous nanomaterials have been reported to exhibit intrinsic enzyme‐like activity toward inorganic oxygen species, such as H2O2, oxygen, and O2−. However, the exploration of nanozymes targeting organic compounds holds transformative potential in the realm of industrial synthesis. This review provides a comprehensive overview of the diverse types of nanozymes that catalyze reactions involving organic substrates and discusses their catalytic mechanisms, structure‐activity relationships, and methodological paradigms for discovering new nanozymes. Additionally, we propose a forward‐looking perspective on designing nanozyme formulations to mimic subcellular organelles, such as chloroplasts, termed "nano‐organelles". Finally, we analyze the challenges encountered in nanozyme synthesis, characterization, nano‐organelle construction and applications while suggesting directions to overcome these obstacles and enhance nanozyme research in the future. Through this review, our goal is to inspire further research efforts and catalyze advancements in the field of nanozymes, fostering new insights and opportunities in chemical synthesis. [ABSTRACT FROM AUTHOR]

Since the discovery of the first peroxidase nanozyme (Fe3O4), numerous nanomaterials have been reported to exhibit intrinsic enzyme‐like activity toward inorganic oxygen species, such as H2O2, oxygen, and O2−. However, the exploration of nanozymes targeting organic compounds holds transformative potential in the realm of industrial synthesis. This review provides a comprehensive overview of the diverse types of nanozymes that catalyze reactions involving organic substrates and discusses their catalytic mechanisms, structure‐activity relationships, and methodological paradigms for discovering new nanozymes. Additionally, we propose a forward‐looking perspective on designing nanozyme formulations to mimic subcellular organelles, such as chloroplasts, termed "nano‐organelles". Finally, we analyze the challenges encountered in nanozyme synthesis, characterization, nano‐organelle construction and applications while suggesting directions to overcome these obstacles and enhance nanozyme research in the future. Through this review, our goal is to inspire further research efforts and catalyze advancements in the field of nanozymes, fostering new insights and opportunities in chemical synthesis. [ABSTRACT FROM AUTHOR]

Here, we propose a piperidine-based ionic liquid additive. The electrostatic shielding effect of the piperidine cation (PP13+) effectively inhibits the growth of lithium dendrites. Simultaneously, the redox activity of the bromine anion synergistically reduces the overpotential. This approach significantly improves the cycling performance of lithium – oxygen batteries. [ABSTRACT FROM AUTHOR]

In this paper, we give a sufficient condition under which an involution monoid generates a variety with continuum many subvarieties. According to this result, several involution J -trivial monoids are shown to generate varieties with continuum many subvarieties. These examples include Rees quotients of free involution monoids, Lee monoids with involution, and Straubing monoids with involution. [ABSTRACT FROM AUTHOR]

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Summary: The columned‐supported reinforced concrete silo models with different filling conditions considering soil‐structure dynamic interaction (SSI) are established based on the finite element program ANSYS to thoroughly investigate the complex interaction mechanism of the soil–pile–silo structure with granular solid. The dynamic characteristics and seismic responses of the SSI system and fixed‐base condition are analyzed and compared when the filling conditions are empty‐filled state, half‐filled state and full‐filled state. The numerical results reveal that the SSI effect reduces the seismic acceleration response of columned‐supported silos effectively. However, in terms of displacement, the SSI effect often amplifies the relative deformation of the supporting column and the cylindrical silos. Furthermore, the SSI effect often increases the relative dynamic lateral pressure of the storage material in the half‐filled silo condition. In the full‐filled silo condition, the relative dynamic lateral pressure at the top and bottom of the storage material is increased by the SSI effect; while it is decreased in the middle part of the granular solid, demonstrating that the SSI effect could change and increase the seismic responses of the silo structure in certain areas. Therefore, the investigation provides a comprehensive insight into the interaction mechanism of the pile–soil–silo structure with different filling conditions. [ABSTRACT FROM AUTHOR]

Transcription-blocking lesions (TBLs) stall elongating RNA polymerase II (Pol II), which then initiates transcription-coupled repair (TCR) to remove TBLs and allow transcription recovery. In the absence of TCR, eviction of lesion-stalled Pol II is required for alternative pathways to address the damage, but the mechanism is unclear. Using Protein-Associated DNA Damage Sequencing (PADD-seq), this study reveals that the p97-proteasome pathway can evict lesion-stalled Pol II independently of repair. Both TCR and repair-independent eviction require CSA and ubiquitination. However, p97 is dispensable for TCR and Pol II eviction in TCR-proficient cells, highlighting repair's prioritization over repair-independent eviction. Moreover, ubiquitination of RPB1-K1268 is important for both pathways, with USP7's deubiquitinase activity promoting TCR without abolishing repair-independent Pol II release. In summary, this study elucidates the fate of lesion-stalled Pol II, and may shed light on the molecular basis of genetic diseases caused by the defects of TCR genes. Transcription-blocking lesions are removed by transcription-coupled repair (TCR). Here the authors show that the p97-proteasome pathway can evict lesion-stalled RNA Pol II independently of repair. However, p97 is dispensable for TCR and Pol II eviction in TCR-proficient cells. [ABSTRACT FROM AUTHOR]

Neonicotinoids (NEOs), the most widely used class of insecticides, are pervasive in the environment, eliciting concerns due to their hydrophilicity, persistence, and potential ecological risks. As the leading pesticide consumer, China shows significant regional disparities in NEO contamination. This review explores NEO distribution, sources, and toxic risks across China. The primary NEO pollutants identified in environmental samples include imidacloprid, thiamethoxam, and acetamiprid. In the north, corn cultivation represents the principal source of NEOs during wet seasons, while rice dominates in the south year-round. The high concentration levels of NEOs have been detected in the aquatic environment in the southern regions (130.25 ng/L), the urban river Sects. (157.66 ng/L), and the downstream sections of the Yangtze River (58.9 ng/L), indicating that climate conditions and urban pollution emissions are important drivers of water pollution. Neonicotinoids were detected at higher levels in agricultural soils compared to other soil types, with southern agricultural areas showing higher concentrations (average 27.21 ng/g) than northern regions (average 12.77 ng/g). Atmospheric NEO levels were lower, with the highest concentration at 1560 pg/m3. The levels of total neonicotinoid pesticides in aquatic environments across China predominantly exceed the chronic toxicity ecological threshold of 35 ng/L, particularly in the regions of Beijing and the Qilu Lake Basin, where they likely exceed the acute toxicity ecological threshold of 200 ng/L. In the future, efforts should focus on neonicotinoid distribution in agriculturally developed regions of Southwest China, while also emphasizing their usage in urban greening and household settings. [ABSTRACT FROM AUTHOR]

Transcription-blocking lesions (TBLs) stall elongating RNA polymerase II (Pol II), which then initiates transcription-coupled repair (TCR) to remove TBLs and allow transcription recovery. In the absence of TCR, eviction of lesion-stalled Pol II is required for alternative pathways to address the damage, but the mechanism is unclear. Using Protein-Associated DNA Damage Sequencing (PADD-seq), this study reveals that the p97-proteasome pathway can evict lesion-stalled Pol II independently of repair. Both TCR and repair-independent eviction require CSA and ubiquitination. However, p97 is dispensable for TCR and Pol II eviction in TCR-proficient cells, highlighting repair's prioritization over repair-independent eviction. Moreover, ubiquitination of RPB1-K1268 is important for both pathways, with USP7's deubiquitinase activity promoting TCR without abolishing repair-independent Pol II release. In summary, this study elucidates the fate of lesion-stalled Pol II, and may shed light on the molecular basis of genetic diseases caused by the defects of TCR genes. Transcription-blocking lesions are removed by transcription-coupled repair (TCR). Here the authors show that the p97-proteasome pathway can evict lesion-stalled RNA Pol II independently of repair. However, p97 is dispensable for TCR and Pol II eviction in TCR-proficient cells. [ABSTRACT FROM AUTHOR]

Nitroreductase (NTR) is an enzyme expressed at an abnormally high level in solid tumors, which is associated with the hypoxia level in tumors. The establishment of a high-performance and convenient fluorescent platform for the fast monitoring of NTR is of pivotal importance. Herein, a novel host–guest complex was created by encapsulating a fluorescent substrate GP-NTR within a metal–organic capsule Zn-MPB that included a NADH mimic for the detection of hypoxia via responding to nitroreductase (NTR) with fast responsiveness and good fluorescence imaging. Notably, the double-substrate process was streamlined to a single–substrate process by the host–guest supramolecular method in the catalytic process of NTR, which enabled the reaction to be independent of the cofactor NADH supply and shortened the distance between the substrate and the active site of NTR. The increasing fluorescence intensity of Zn-MPB⊃GP-NTR exhibits a linear relationship with NTR concentration and shows a fast response toward NTR in solution in tens of seconds. Zn-MPB⊃GP-NTR also displays high sensitivity to NTR with a low detection limit of 6.4 ng/mL. Cells and in vivo studies have confirmed that Zn-MPB⊃GP-NTR could be successfully applied for the fast imaging of NTR in NTR-overexpressed tumor cells and tumor-bearing animals. The host–guest platform not only provides a new avenue for the design and optimization of a fluorescence detection platform for the rapid and quantitative detection of NTR activity, but also offers an imaging tool for the early diagnosis of hypoxia-related tumors. [ABSTRACT FROM AUTHOR]

Objective: To investigate the age‐standardized prevalence rate (ASPR) and temporal trends for hip, knee, hand, and other osteoarthritis (OA) at a global, continental, and national level. Design: The estimates and 95% uncertainty intervals (UIs) for case number and ASPR of OA were derived from the Global Burden of Diseases Study (GBD) 2019. The joinpoint regression analysis was utilized to examine the temporal trends from 1990 to 2019. Results: In 2019, the global ASPR of hip, knee, hand, and other OA was 400.95 (95% UI: 312.77–499.41), 4375.95 (95% UI: 3793.04–5004.9), 1726.38 (95% UI: 1319.91–2254.85), and 745.62 (95% UI: 570.16–939.8). As for the ASPR of hip OA, hand OA, and other OA, Europe and America had higher rates than Asia and Africa, and Asia was second only to America in knee OA ASPRs. The period 1990–2019, the ASPR at global level dropped significantly for hand OA (AAPC = −0.4%, 95% CI: −0.47 to −0.34) and increased significantly for hip OA (AAPC = 0.43%, 95% CI: 0.39–0.46), knee OA (AAPC = 0.17%, 95% CI: 0.09–0.24) and other OA (AAPC = 0.16%, 95% CI: 0.15–0.17). Different continents, countries, and periods demonstrated significant changes. Conclusions: Globally, America has the highest OA burden and Asia has a higher knee OA burden. Appropriate prevention and control measures to reduce modifiable risk factors are needed to reduce the burden of OA. [ABSTRACT FROM AUTHOR]

By constructing a complex network model grounded in time series analysis, this study delves into the intricate relationships between the stock markets of 18 countries worldwide. Utilizing 31 distinct time series distance functions to formulate the network, we employ Hamming distance to quantify the resemblance between networks derived from different distance functions. By modulating the network density through distance percentiles ( p = 0.1 , 0.3, 0.5), we demonstrate the similarity of various distance functions across multiple density levels. Our findings reveal that certain distance functions exhibit high degrees of similarity across varying network densities, suggesting their potential for mutual substitution in network construction. Furthermore, the centroid network identified via hierarchical cluster analysis highlights the similarities between the stock markets of different nations, mirroring the intricate interconnections within the global financial landscape. The insights gained from this study offer crucial perspectives for comprehending the intricate network structure of global financial time series data, paving the way for further analysis and prediction of global financial market dynamics. [ABSTRACT FROM AUTHOR]

Lithium‐metal anodes with excellent theoretical specific capacities (3680 mAh g−1) have attracted considerable attention for overcoming the capacity bottleneck of conventional graphite anodes. However, they often suffer from uncontrolled dendrite growth and undesirable side reactions, considerably limiting their practical application in lithium‐metal batteries. In this study, urchin‐like silver@copper oxide (Ag@CuO) heterostructures with gradient electrical conductivity and lithiophilicity are prepared using a facile liquid‐phase reduction method. The unique amphiphilic lithium mechanism of the alloying and conversion reactions effectively reduces the nucleation overpotential of the lithium metal anode and promotes a uniform lithium deposition process. Meanwhile, the in situ‐generated Li2O‐rich solid electrolyte interphase (SEI) film can further induce uniform and reversible lithium plating/stripping. All these characteristics endow the Ag@CuO anode with a high Coulombic efficiency of 98.89%, even after 1200 cycles, and long cycle life of 2800 h at a current density of 0.2 mA cm−2, thus demonstrating that such modified Li metal anodes exhibit superior compatibility with major commercial cathode materials, such as LiCoO2 (LCO) and LiNi0.8Co0.1Mn0.1O2 (NCM‐811). Hence, this study provides an effective strategy for developing practical lithium metal anodes. [ABSTRACT FROM AUTHOR]

Support materials such as activated carbon are essential for electrochemical heterogeneous reactions, providing a stable matrix for metal catalysts and actively influencing the catalyst's properties and effectiveness. Although various effective carbon supports have been commercially developed, corrosion and catalyst degradation are still inevitable under high current density catalysis, for instance, during the harsh alkaline water electrolysis process. Here, we report the synthesis of a new type of metallic glass (MG) support through the deployment of an amorphous alloy with tunable Pt loading mass (Fe70−xCo10Ni10Zr10Ptx, x = 1, 3, 5). In addition to the advantages of high specific surface areas and enhanced chemical stability, X-ray absorption spectroscopy and theoretical investigations suggest that the MG support could modulate the electronic structure of Pt active sites through strong metal–support interaction, leading to the enhanced water dissociation kinetics. When compared with those previously reported carbon-supported or pure Pt catalysts, the MG-supported catalysts exhibit remarkably high activities towards hydrogen evolution, which only requires an overpotential of 102 mV at the current density of 1000 mA cm−2 with a Faraday efficiency close to 100%. This allows the current density to be increased to 500 mA cm−2 during the stability test without corrosion and degradation. We argue that the earth-abundant elements-based MG support could be an alternative for metal catalysts that can withstand the physical and chemical corrosion encountered during harsh catalytic reactions. [ABSTRACT FROM AUTHOR]

Serial correlations within temperature time series serve as indicators of the temporal consistency of climate events. This study delves into the serial correlations embedded in global surface air temperature (SAT) data. Initially, we preprocess the SAT time series to eradicate seasonal patterns and linear trends, resulting in the SAT anomaly time series, which encapsulates the inherent variability of Earth's climate system. Employing diverse statistical techniques, we identify three distinct types of serial correlations: short-term, long-term, and nonlinear. To identify short-term correlations, we utilize the first-order autoregressive model, AR(1), revealing a global pattern that can be partially attributed to atmospheric Rossby waves in extratropical regions and the Eastern Pacific warm pool. For long-term correlations, we adopt the standard detrended fluctuation analysis, finding that the global pattern aligns with long-term climate variability, such as the El Niño-Southern Oscillation (ENSO) over the Eastern Pacific. Furthermore, we apply the horizontal visibility graph (HVG) algorithm to transform the SAT anomaly time series into complex networks. The topological parameters of these networks aptly capture the long-term correlations present in the data. Additionally, we introduce a novel topological parameter, Δσ, to detect nonlinear correlations. The statistical significance of this parameter is rigorously tested using the Monte Carlo method, simulating fractional Brownian motion and fractional Gaussian noise processes with a predefined DFA exponent to estimate confidence intervals. In conclusion, serial correlations are universal in global SAT time series and the presence of these serial correlations should be considered carefully in climate sciences. [ABSTRACT FROM AUTHOR]

With the increasingly fierce market competition, customers' needs are gradually becoming more complicated, specialized, customized, and personalized. How manufacturing enterprises adopt innovation strategies to achieve value-added products as well as value co-creation with customers is an important initiative for enterprises to maintain differentiated advantages in market competition. Therefore, the creation of service value has gradually become more and more important. The related research on manufacturing servitization has attracted extensive attention in recent years. Manufacturing servitization is the evolution process of manufacturing enterprises gradually from product-dominant logic to service-dominant logic. The purpose of this study is to explore the dynamic evolution of manufacturing servitization from the perspective of innovation strategy and analyze the dynamic evolution mechanism. This study shows the latest research progress of theories related to manufacturing servitization and lays the theoretical foundation for research on the mechanism of the dynamic evolution of manufacturing servitization. This study proposes a three-stage dynamic evolution model of manufacturing servitization: product production, technological innovation, and service innovation. This study primarily employs the research methods of model construction and computer simulation. Based on the Nelson–Winter model, this study establishes a decision model for manufacturing servitization innovation strategy. This study conducts a computer simulation study on the dynamic evolution of manufacturing servitization from the perspective of innovation strategy and draws conclusions. This study is of great significance for manufacturing enterprises in making appropriate service-oriented innovation strategy decisions in the context of the service-oriented transformation occurring widely in the manufacturing industry. [ABSTRACT FROM AUTHOR]

This study presents an economic optimization model for determining the optimal insulation thickness for both thermal insulation and electric tracing pipelines. Using Life-Cycle Cost (LCC) analysis, optimization research was conducted under various working conditions to identify the most cost-effective insulation thickness. Factors such as pipe diameter, operational duration, drilling fluid temperature, and heat cost were analyzed to assess their impact on the economic thickness of the insulation layer, specifically within the unique environment of drilling sites. The results provide the economic thickness and total cost for both insulated and electrically traced pipelines under different scenarios. For instance, for a DN100 pipe with rock wool insulation operating for 3600 h, the economic thickness of the electrically traced pipe insulation was determined to be 5.18 cm greater per unit length compared to the non-electrically traced pipe, resulting in an additional cost of 19.36 CNY/m. These findings offer valuable insights for optimizing pipeline insulation in drilling applications. [ABSTRACT FROM AUTHOR]

Pine wood nematode disease, commonly referred to as pine wilt, poses a grave threat to forest health, leading to profound ecological and economic impacts. Originating from the pine wood nematode, this disease not only causes the demise of pine trees but also casts a long shadow over the entire forest ecosystem. The accurate identification of infected trees stands as a pivotal initial step in developing effective prevention and control measures for pine wilt. Nevertheless, existing identification methods face challenges in precisely determining the disease status of individual pine trees, impeding early detection and efficient intervention. In this study, we leverage the capabilities of unmanned aerial vehicle (UAV) remote sensing technology and integrate the VGG classical small convolutional kernel network with U-Net to detect diseased pine trees. This cutting-edge approach captures the spatial and characteristic intricacies of infected trees, converting them into high-dimensional features through multiple convolutions within the VGG network. This method significantly reduces the parameter count while enhancing the sensing range. The results obtained from our validation set are remarkably promising, achieving a Mean Intersection over Union (MIoU) of 81.62%, a Mean Pixel Accuracy (MPA) of 85.13%, an Accuracy of 99.13%, and an F1 Score of 88.50%. These figures surpass those obtained using other methods such as ResNet50 and DeepLab v3+. The methodology presented in this research facilitates rapid and accurate monitoring of pine trees infected with nematodes, offering invaluable technical assistance in the prevention and management of pine wilt disease. [ABSTRACT FROM AUTHOR]

Females with existing high‐risk HPV (HR‐HPV) infections remain at risk of subsequent multiple or recurrent infections, on which benefit from HPV vaccines was under‐reported. We pooled individual‐level data from four large‐scale, RCTs of AS04‐HPV‐16/18 vaccine to evaluate efficacy and immunogenicity in females DNA‐positive to any HR‐HPV types at first vaccination. Females receiving the AS04‐HPV‐16/18 vaccine in the original RCTs constituted the vaccine group in the present study, while those unvaccinated served as the control group. Vaccine efficacy (VE) against new infections and associated cervical intraepithelial neoplasia (CIN) 2+ in females DNA‐negative to the considered HR‐HPV type but positive to any other HR‐HPV types, VE against reinfections in females DNA‐positive to the considered HR‐HPV type but cleared naturally during later follow‐up, and levels of anti‐HPV‐16/18 IgG were assessed. Our final analyses included 5137 females (vaccine group = 2532, control group = 2605). The median follow‐up time was 47.88 months (IQR: 45.72‐50.04). For the prevention of precancerous lesions related to the non‐infected HR‐HPV types at baseline, VE against HPV‐16/18 related CIN 2+ was 82.70% (95% CI: 63.70‐93.00%). For the prevention of reinfections related to the infected HR‐HPV types following natural clearance, VE against HPV‐16/18 12MPI was non‐significant (p >.05), albeit robust immunity persisted for at least 48 months. Females with existing HR‐HPV infections at first vaccination still benefit from vaccination in preventing precancers related to the non‐infected types at baseline. VE against reinfections related to the infected types following natural clearance remains to be further investigated. [ABSTRACT FROM AUTHOR]

Osteosarcoma is the most common type of primary malignant bone tumor. Due to the lack of selectivity and sensitivity of chemotherapy drugs to tumor cells, coupled with the use of large doses, chemotherapy drugs often have systemic toxicity. The use of modern sequencing technology to screen tumor markers in a large number of tumor samples is a common method for screening highly specific and selective anti-tumor drugs. This study aims to identify potential biomarkers using the latest reported gene expression signatures of oncogene-induced replication stress (ORS) in aggressive cancers, and potential anti-osteosarcoma drugs were screened in different drug databases. In this study, we obtained 89 osteosarcoma-related samples in the TARGET database, all of which included survival information. According to the median expression of each of six reported ORS gene markers (NAT10/DDX27/ZNF48/C8ORF33/MOCS3/MPP6), we divided 89 osteosarcoma gene expression datasets into a high expression group and a low expression group and then performed a differentially expressed gene (DEG) analysis. The coexisting genes of 6 groups of DEGs were used as replication stress-related genes (RSGs) of osteosarcoma. Then, key RSGs were screened using LASSO regression, a Cox risk proportional regression prognostic model and a tenfold cross-validation test. GSE21257 datasets collected from the Gene Expression Omnibus (GEO) database were used to verify the prognostic model. The final key RSGs selected were used in the L1000PWD and DGIdb databases to mine potential drugs. After further validation by the prognostic model, we identified seven genes associated with ORS in osteosarcoma as key RSGs, including transcription factor 7 like 2 (TCF7L2), solute carrier family 27 member 4 (SLC27A4), proprotein convertase subtilisin/kexin type 5 (PCSK5), nucleolar protein 6 (NOL6), coiled-coil-coil-coil-coil-helix domain containing 4 (CHCHD4), eukaryotic translation initiation factor 3 subunit B (EIF3B), and synthesis of cytochrome C oxidase 1 (SCO1). Then, we screened the seven key RSGs in two drug databases and found six potential anti-osteosarcoma drugs (D GIdb database: repaglinide, tacrolimus, sirolimus, cyclosporine, and hydrochlorothiazide; L1000PWD database: the small molecule VU-0365117-1). Seven RSGs (TCF7L2, SLC27A4, PCSK5, NOL6, CHCHD4, EIF3B, and SCO1) may be associated with the ORS gene signatures in osteosarcoma. Repaglinide, tacrolimus, sirolimus, cyclosporine, hydrochlorothiazide and the small molecule VU-0365117-1 are potential therapeutic drugs for osteosarcoma. [ABSTRACT FROM AUTHOR]

East Asia is a region that is highly vulnerable to drought disasters during the spring season, as this period is critical for planting, germinating, and growing staple crops such as wheat, maize, and rice. The climate in East Asia is significantly influenced by three large-scale climate variations: the Pacific Decadal Oscillation (PDO), the El Niño–Southern Oscillation (ENSO), and the Indian Ocean Dipole (IOD) in the Pacific and Indian Oceans. In this study, the spring meteorological drought was quantified using the standardized precipitation evapotranspiration index (SPEI) for March, April, and May. Initially, coupled climate networks were established for two climate variables: sea surface temperature (SST) and SPEI. The directed links from SST to SPEI were determined based on the Granger causality test. These coupled climate networks revealed the associations between climate variations and meteorological droughts, indicating that semi-arid areas are more sensitive to these climate variations. In the spring, PDO and ENSO do not cause extreme wetness or dryness in East Asia, whereas IOD does. The remote impacts of these climate variations on SPEI can be partially explained by atmospheric circulations, where the combined effects of air temperatures, winds, and air pressure fields determine the wet/dry conditions in East Asia. [ABSTRACT FROM AUTHOR]

Due to the insufficient sensing field of the temporal convolutional networks (TCN), the key degradation information of the bearing is often ignored, which results in poor prediction of the remaitning useful life (RUL) of bearings. Moreover, the long-term dependence problem of long short-term memory (LSTM) may not be well solved with the increase of data volume and sequence length. Therefore a new prediction method based on Bidirectional temporal convolutional network and Long short-term memory (Bi-TCN-LSTM) was proposed. Firstly, the multi-sensor data was normalized and fused, and then the Bi-TCN-LSTM was used for data feature extraction and deep learning, in which the convolutional attention mechanism (CAM) was introduced into the TCN module, and the three gates of the LSTM were simplified into one gate. It effectively accelerated the learning speed of the prediction model and improved the accuracy of the prediction model. The IEEE PHM 2012 bearing dataset was used to carry out the RUL prediction experiments. The results show that compared with other advanced prediction models, the Bi-TCN-LSTM method has relatively lower prediction error and better performance. [ABSTRACT FROM AUTHOR]

The rice stem borer (RSB), Chilo suppressalis, a notorious rice pest in China, has evolved a high resistance level to commonly used insecticides. Tetraniliprole, a new anthranilic diamide insecticide, effectively controls multiple pests, including RSB. However, the potential resistance risk of RSB to tetraniliprole is still unknown. In this study, the tetraniliprole‐selection (Tet‐R) strain was obtained through 10 continuous generations of selection with tetraniliprole 30% lethal concentration (LC30). The realized heritability (h2) of the Tet‐R strain was 0.387, indicating that resistance of RSB to tetraniliprole developed rapidly under the continuous selection of tetraniliprole. The Tet‐R strain had a high fitness cost (relative fitness = 0.53). We established the susceptibility baseline of RSB to tetraniliprole (lethal concentration at LC50 = 0.727 mg/L) and investigated the resistance level of 6 field populations to tetraniliprole. All tested strains that had resistance to chlorantraniliprole exhibited moderate‐ to high‐level resistance to tetraniliprole (resistance ratio = 27.7−806.8). Detection of ryanodine receptor (RyR) mutations showed that the Y4667C, Y4667D, I4758M, and Y4891F mutations were present in tested RSB field populations. RyR mutations were responsible for the cross‐resistance between tetraniliprole and chlorantraniliprole. Further, the clustered regularly interspaced palindromic repeats (CRISPR) / CRISPR‐associated protein 9‐mediated genome‐modified flies were used to study the contribution of RyR mutations to tetraniliprole resistance. The order of contribution of a single RyR mutation to tetraniliprole resistance was Y4667D > G4915E > Y4667C ≈ I4758M > Y4891F. In addition, the I4758M and Y4667C double mutations conferred higher tetraniliprole resistance than single Y4667C mutations. These results can guide resistance management practices for diamides in RSB and other arthropods. [ABSTRACT FROM AUTHOR]

The wet bulb temperature (Tw) has gained considerable attention as a crucial indicator of heat-related health risks. Here we report south-to-north spatially heterogeneous trends of Tw in China over 1979-2018. We find that actual water vapor pressure (Ea) changes play a dominant role in determining the different trend of Tw in southern and northern China, which is attributed to the faster warming of high-latitude regions of East Asia as a response to climate change. This warming effect regulates large-scale atmospheric features and leads to extended impacts of the South Asia high (SAH) and the western Pacific subtropical high (WPSH) over southern China and to suppressed moisture transport. Attribution analysis using climate model simulations confirms these findings. We further find that the entire eastern China, that accommodates 94% of the country's population, is likely to experience widespread and uniform elevated thermal stress the end of this century. Our findings highlight the necessity for development of adaptation measures in eastern China to avoid adverse impacts of heat stress, suggesting similar implications for other regions as well. Attributing spatially heterogeneous heat stress trends to water vapor pressure changes driven by climate change-induced rapid warming in high-latitudes of East Asia, the authors predict widespread and uniform future heat stress in eastern China. [ABSTRACT FROM AUTHOR]

In females, the pathophysiological mechanism of poor ovarian response (POR) is not fully understood. Considering the expression level of p62 was significantly reduced in the granulosa cells (GCs) of POR patients, this study focused on identifying the role of the selective autophagy receptor p62 in conducting the effect of follicle-stimulating hormone (FSH) on antral follicles (AFs) formation in female mice. The results showed that p62 in GCs was FSH responsive and that its level increased to a peak and then decreased time-dependently either in ovaries or in GCs after gonadotropin induction in vivo. GC-specific deletion of p62 resulted in subfertility, a significantly reduced number of AFs and irregular estrous cycles, which were same as pathophysiological symptom of POR. By conducting mass spectrum analysis, we found the ubiquitination of proteins was decreased, and autophagic flux was blocked in GCs. Specifically, the level of nonubiquitinated Wilms tumor 1 homolog (WT1), a transcription factor and negative controller of GC differentiation, increased steadily. Co-IP results showed that p62 deletion increased the level of ubiquitin-specific peptidase 5 (USP5), which blocked the ubiquitination of WT1. Furthermore, a joint analysis of RNA-seq and the spatial transcriptome sequencing data showed the expression of steroid metabolic genes and FSH receptors pivotal for GCs differentiation decreased unanimously. Accordingly, the accumulation of WT1 in GCs deficient of p62 decreased steroid hormone levels and reduced FSH responsiveness, while the availability of p62 in GCs simultaneously ensured the degradation of WT1 through the ubiquitin‒proteasome system and autophagolysosomal system. Therefore, p62 in GCs participates in GC differentiation and AF formation in FSH induction by dynamically controlling the degradation of WT1. The findings of the study contributes to further study the pathology of POR. [ABSTRACT FROM AUTHOR]

Pancreatic ductal adenocarcinoma (PDAC) presents a formidable global health challenge. Targeting genetic aberrations, particularly KRAS and TP53 mutations, remains a critical challenge in PDAC treatment. Herein, it is demonstrated for the first time that electron‐rich aromatic pyrrole derivatives can be transformed into red‐to‐near‐infrared emissive radical cations in an acidic buffer, efficiently targeting mitochondria and triggering mutant p53 (mutp53) degradation. Leveraging the positive charge characteristic of radical cations (P6•+), a bifunctional nanoparticle is successfully engineered by combining P6•+ with KRAS siRNA. P6@siKRAS simultaneously induces mutp53 degradation and the oncogenic KRAS downregulation, thereby abrogating gain‐of‐function effects by mutp53 and inhibiting downstream signaling pathways regulated by KRAS, leading to significant suppression of tumor growth, invasion, and drug resistance. Consequently, P6@siKRAS demonstrates remarkable therapeutic efficacy in both the p53‐KRAS‐double‐mutated pancreatic cancer model and the LSL‐KrasG12D/+; LSL‐Trp53R172H/+; Pdx‐1‐Cre (KPC) mice model. Moreover, the down‐regulation of mutp53 and KRAS by P6@siKRAS not only inhibits tumor growth but also substantially remodels the tumor microenvironment, recruiting and boosting the infiltration of anti‐tumor immune cells, thereby augmenting the anti‐tumor immune response. This study showcases the development of mutp53‐degrading functional gene carriers, offering a promising and innovative therapeutic strategy for tackling p53‐KRAS‐double‐mutated pancreatic cancer. [ABSTRACT FROM AUTHOR]

This paper evaluates the general equilibrium trade and welfare effects of the Belt and Road Initiative (BRI). We estimate the partial trade effect of the BRI using the synthetic control method. By feeding the implied trade cost reduction into counterfactual equations, we simulate the general equilibrium trade and welfare effects of the BRI based on the structural gravity model. We find that the BRI has greatly increased China's and BRI members' trade and welfare, with little impact on non‐BRI members. [ABSTRACT FROM AUTHOR]

Mantle cell lymphoma (MCL) is an uncommon and incurable B‐cell lymphoma subtype that has an aggressive course. Hepatitis B virus (HBV) infection has been associated with an increased risk for B‐cell lymphomas, and is characterized by distinct clinical and genetic features. Here, we showed that 9.5% of MCL Chinese patients were hepatitis B surface antigen positive (HBsAg+). Compared to HBsAg‐negative (HBsAg−) patients, HBsAg+ MCL patients had a greater incidence of elevated lactate dehydrogenase (LDH), but no difference was observed in the other clinical characteristics, including sex, age, ECOG ps, Ann Arbor stage, MIPI, extranodal involvement and Ki‐67. The HD‐AraC (high‐dose cytarabine) regimen was the main first‐line induction regimen for younger HBsAg+ patients, and cyclophosphamide, doxorubicin, vincristine and prednisone (CHOP) were used for elderly patients. HBsAg seropositivity was associated with a significantly shorter PFS than HBsAg seronegativity when patients were treated with rituximab or CHOP‐based regimens. Compared with CHOP, the HD‐AraC regimen was associated with longer PFS in HBsAg+ patients. Treatment with a Bruton tyrosine kinase inhibitor (BTKi) alone can also cause HBV reactivation. Among the 74 patients who underwent targeted deep sequencing (TDS), the nonsynonymous mutation load of HBsAg+ MCL patients was greater than that of HBsAg− MCL patients. HDAC1, TRAF5, FGFR4, SMAD2, JAK3, SMC1A, ZAP70, BLM, CDK12, PLCG2, SMO, TP63, NF1, PTPR, EPHA2, RPTOR and FIP1L1 were significantly enriched in HBsAg+ MCL patients. [ABSTRACT FROM AUTHOR]

The photoexcited carrier dynamics of high-purity (HPSI) and vanadium-doped semi-insulating (VDSI) 4H-SiC irradiated by lasers with different wavelengths and powers were investigated. Raman spectra were measured at room temperature and the photoexcited carrier concentrations were extracted from the Raman line shape analysis of longitudinal optical phonon–plasmon coupled mode. It was found that the longitudinal optical (LO) peaks of HPSI and VDSI did not shift with laser power variations, due to a low concentration of photoexcited carriers, when a 532- nm laser was used. However, when a 355- nm laser was adapted, the relationship between the photoexcited carrier concentrations and the laser power was found to be nonlinear because of the dominance of trap-assisted Auger (TAA) recombination. The coefficient of TAA recombination was laser power–dependent. The proposed carrier dynamic model deepens the understanding of the physical mechanism of semi-insulating SiC irradiated by nanosecond laser and provides an insight into the interpretation of experimental phenomena related to laser energy in optoelectronic devices. [ABSTRACT FROM AUTHOR]

Due to the boom in flexible and wearable electronics, eco-friendly and low-cost energy conversion devices are urgently needed. Triboelectric nanogenerators (TENGs) are widely used as power supplies due to their convenience and ability to convert low-frequency and low-intensity mechanical energy into electricity. Cellulose is widely used to construct TENGs due to its abundance, environmental friendliness, high mechanical strength, excellent triboelectric properties, and tunable surface chemistry. This review systematically summarizes recent research progress in cellulose-based green TENGs. First, the working principle, performance parameters, and influencing factors of TENGs are briefly introduced. Then, the classifications of cellulose are demonstrated. Subsequently, the application strategy and different forms of cellulose are comprehensively discussed. Furthermore, emerging applications of cellulose-based TENGs for environmentally-friendly energy harvesting, human-friendly wearable devices, medical and smart monitoring systems, and multi-functional applications are presented. Finally, the potential challenges and future development prospects of cellulose-based green TENGs are discussed. [ABSTRACT FROM AUTHOR]

Meteorological conditions exert influences on sport performances via complex processes. Previous studies conventionally investigate the effects of weather conditions on marathon performance by following events held at the same places, which brings large uncertainties due to the changed participants. Via following each athlete to eliminate these uncertainties, we show that elite athletes' marathon-running performance tends to monotonically worsen as ambient temperature rises except when it is extremely cold based on the best 16 athletes from each of the sex continents. It worsens by 0.56 (0.39 for men and 0.71 for women) min/°C when it rises beyond 15 °C. Theoretical analysis based on global marathon performance and weather observation datasets shows that more than half of this effect is mediated by reduced oxygen partial density as warmer temperature expands air and increases vapor pressure for both the men and women athletes, which is confirmed by the methods of Baron–Kenny. This atmospheric thermodynamic mechanism has not been emphasized previously. We also show that world-top athletes' marathon performance approximately linearly worsens as ambient pressure decreases and slightly worsens as relative humidity rises if not extremely wet. These results substantially differ from the previous ones following the events instead of each athlete. Multi-variable changes in climate system are projected to slow Olympic marathon athletes by 2.51 and 1.06 min by the end of the 21st century in relative to 2020 under the high and intermediate emission scenario, respectively. Therefore, future progression of marathon performance is likely to be substantially slowed or even halted by climate changes without efficient greenhouse gas mitigation. [ABSTRACT FROM AUTHOR]

Understanding both positive and negative impacts of climate change is essential for comprehensively assessing and well adapting to the impacts of changing climate. Conventionally, climate warming is revealed to negatively impact human activities. Here, we reveal that human beings' performance in anaerobic sports may benefit from climate warming. Using global weather observation and athletes' performance datasets, we show that world-top athletes' performances in nearly all athletics anaerobic events (i.e., sprints, jumps and throws) substantially improve as ambient temperature rises. For example, 100 m performance monotonically improves by 0.26 s as ambient temperature rises from 11.8° to 36.4 °C. Using Coupled Model Intercomparison Project Phase 6 datasets, we further show that global warming can substantially improve world-top athletes' performance in eleven of the thirteen Olympics athletics anaerobic events by 0.27%–0.88% and 0.14–0.48% under high-emission and medium-emission scenarios, respectively, during 1979–2100. Among them, the improvements for 100 m are 0.59% (0.063 s) and 0.32% (0.034 s), respectively. Mechanism analysis shows that the warmed ambient atmosphere can improve competitors' performance through expanding the air and thus reducing the air resistance to the competitors and throwing implements for hummer throw and all the sprints, hurdling and jumps. Quantitative analysis estimates that this thermodynamic process is essential for the impacts of warmed ambient atmosphere on the performances in these events as physiological processes are. [ABSTRACT FROM AUTHOR]

Facing high overpotential, severe Li corrosion and degradation of electrolytes caused by the reactive oxygen species, the development of lithium–oxygen batteries is seriously limited. Although the iodine species have been considered to be effective redox mediators (RMs) for lowering the charging overpotential, the shuttling of oxidized I3− may attack the Li metal anode, compromising the number of RMs, cycling stability and energy efficiency. Here the intend to introduce 3‐Iodooxetane (C3H5OI, IOD) into TEGDME‐based electrolyte to form a protective SEI layer on the Li surface for defending against the attack of I3−. However, the iodine in IOD is found difficult to dissociate. To solve this problem, hard Lewis acid, aluminum trichloride (AlCl3) is proposed as the catalytic agent for dissociating the I− and triggering the ring‐opening reaction of the detached C3H5O+ ions. The former can dissociate redox couple I3−/I− while the latter can form oligomers or polymers under the attack of a nucleophile. Meanwhile, AlCl3 can form Al2O3 and LiCl inorganic species. Taking together, the introduction of IOD and AlCl3 into electrolytes can effectively derive reduced overpotential and in situ SEI layers consisting of flexible organics and rigid inorganics, endowing lithium–oxygen batteries over 150 cycles with significantly enhanced stability and lifespan. [ABSTRACT FROM AUTHOR]

In recent years, as global industrialization has intensified, environmental pollution has become an increasingly serious problem. Improving water quality and achieving wastewater purification remain top priorities for environmental health initiatives. The Fenton process is favored by researchers due to its high efficiency and ease of operation. Central to the Fenton process is a catalyst used to activate hydrogen peroxide, rapidly degrading pollutants, improving water quality. Among various catalysts developed, copper-based catalysts have attracted considerable attention due to their affordability, high activity, and stable performance. Based on this, this paper reviews the development of copper-based Fenton systems over the past decade. It mainly involves the research and application of copper-based catalysts in different Fenton systems, including photo-Fenton, electro-Fenton, microwave-Fenton, and ultrasonic-Fenton. This review provides a fundamental reference for the subsequent studies of copper-based Fenton systems, contributing to the goal of transitioning these systems from laboratory research into practical environmental applications. [ABSTRACT FROM AUTHOR]

Leveraging data from various modalities to enhance multimodal segmentation tasks is a well-regarded approach. Recently, efforts have been made to incorporate an array of modalities, including depth and thermal imaging. Nevertheless, the effective amalgamation of cross-modal interactions remains a challenge, given the unique traits each modality presents. In our current research, we introduce the semantic guidance fusion network (SGFN), which is an innovative cross-modal fusion network adept at integrating a diverse set of modalities. Particularly, the SGFN features a semantic guidance module (SGM) engineered to boost bi-modal feature extraction. It encompasses a learnable semantic guidance convolution (SGC) designed to merge intensity and gradient data from disparate modalities. Comprehensive experiments carried out on the NYU Depth V2, SUN-RGBD, Cityscapes, MFNet, and ZJU datasets underscore both the superior performance and generalization ability of the SGFN compared to the current leading models. Moreover, when tested on the DELIVER dataset, the efficiency of our bi-modal SGFN displayed a mIoU that is comparable to the hitherto leading model, CMNEXT. [ABSTRACT FROM AUTHOR]

In this paper, ordinary Portland cement, ultrafine cement, polyurethane, and epoxy resin were selected as typical grouting materials. Grouting simulation tests were first conducted to prepare the grouted concrete crack sample. The effect of concrete crack parameters (i.e., crack aperture and roughness), grout water–cement ratio, and grouting pressure on the water-plugging performance of different grouting materials was explored through the impermeability test. The microstructure of grouted concrete cracks was analyzed by means of scanning electron microscopy (SEM) and computed tomography (CT), and the difference in water-plugging performance of different grouting materials was explained at the micro level. The results show that the impermeability of the four grouting materials was ranked as follows: Epoxy resin > polyurethane > ultra-fine cement > ordinary Portland cement. The concrete cracks grouted by epoxy resin have the highest plugging failure water pressure and the lowest permeability, which is the optimal grouting material. The effectiveness of crack grouting in water-plugging was directly proportional to the grouting pressure, provided the pressure did not exceed a certain value. When the pressure surpassed the threshold, the increase in pressure did not have a significant impact on the water plugging performance. For the two cement-based materials, the threshold pressure was 1 MPa, while for the other two chemical grouts, it was 2 MPa. The two cement-based grouts with a water–cement ratio of 0.8 showed optimal water-plugging performance. The water-plugging performance of ordinary Portland cement paste, ultra-fine cement pastes, and polyurethane grout was negatively correlated with crack aperture and positively correlated with crack roughness. However, the water-plugging performance of epoxy resin grout was not affected by crack aperture or roughness. [ABSTRACT FROM AUTHOR]

Traditional tropospheric ozone (O3) climatology uses a simple average substantially smoothed stratification structure in individual O3 profiles, limiting our ability to properly describe and understand how O3 is vertically distributed at the interface between the mixing layer (ML) and free troposphere (FT). In this study, we collected 1897 ozonesonde profiles from two Chinese megacities (Beijing and Hong Kong) over the period 2000–2022 to investigate the climatological vertical heterogeneity of the lower-tropospheric O3 distribution with a mixing-layer-height-referenced (h -referenced) vertical coordinate system. The mixing-layer height (h) was first estimated following an integral method that integrates the information of temperature, humidity, and cloud. After that, a so-called h -referenced vertical distribution of O3 was determined by averaging all individual profiles expressed as a function of z/h rather than z (where z is altitude). We found that the vertical stratification of O3 is distributed heterogeneously in the lower troposphere, with stronger vertical gradients at the surface layer and ML–FT interface. There are low vertical autocorrelations of O3 between the ML and FT but high autocorrelations within each of the two atmospheric compartments. These results suggest that the ML–FT interface acts as a geophysical "barrier" separating air masses of distinct O3 loadings. This barrier effect varies with season and city, with an ML–FT detrainment barrier in summer (autumn) and an FT–ML entrainment barrier in other seasons in Beijing (Hong Kong). Based on a Student's t test, daily h -referenced O3 profiles were further classified into three typical patterns: MLO 3 -dominated, FTO 3 -dominated, and uniform distribution. Although the FTO 3 -dominated pattern occurs most frequently during the whole study period (69 % and 54 % of days in Beijing and Hong Kong, respectively), the MLO 3 -dominated pattern prevails in the photochemically active season, accounting for 47 % of summer days in Beijing and 54 % of autumn days in Hong Kong. These occurrences of the MLO 3 -dominated pattern are significantly more frequent than in previously reported results at northern mid-latitudes, indicating intensive photochemical MLO 3 production under the high-emission background of a Chinese megacity. From a FTO 3 -dominated to MLO 3 -dominated pattern, the O3 precursor CH2O (NO2) experiences a substantial increase (decrease) in Beijing but a slight change in Hong Kong. Vertically, the increment of CH2O is larger in the upper ML, and the decrement of NO2 is larger in the lower ML. Such vertical changes in O3 precursors push O3 production sensitivity away from the VOC-limited regime and facilitate high-efficiency production of O3 via photochemical reactions, particularly in the upper ML of Beijing. [ABSTRACT FROM AUTHOR]