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In this work, we performed static density functional theory calculations and ab initio metadynamics simulations to systematically investigate the association mechanisms and dynamic structures of four kinds of ion pairs that could be formed before the nucleation of CaCO3. For Ca2+– H C O 3 − and Ca2+– C O 3 2 − pairs, the arrangement of ligands around Ca2+ evolves between the six-coordinated octahedral structure and the seven-coordinated pentagonal bipyramidal structure. The formation of ion pairs follows an associative ligand substitution mechanism. Compared with H C O 3 − , C O 3 2 − exhibits a stronger affinity to Ca2+, leading to the formation of a more stable precursor phase in the prenucleation stage, which promotes the subsequent CaCO3 nucleation. In alkaline environments, excessive OH− ions decrease the coordination preference of Ca2+. In this case, the formation of Ca(OH)+– C O 3 2 − and Ca(OH)2– C O 3 2 − pairs favors the dissociative ligand substitution mechanism. The inhibiting effects of OH− ion on the CaCO3 association can be interpreted from two aspects, i.e., (1) OH− neutralizes positive charges on Ca2+, decreases the electrostatic interactions between Ca2+ and C O 3 2 − , and thus hinders the formation of the CaCO3 monomer, and (2) OH− decreases the capacity of Ca2+ for accommodating O, making it easier to separate Ca2+ and C O 3 2 − ions. Our findings on the ion association behaviors in the initial stage of CaCO3 formation not only help scientists evaluate the impact of ocean acidification on biomineralization but also provide theoretical support for the discovery and development of more effective approaches to manage undesirable scaling issues. [ABSTRACT FROM AUTHOR]

Comprehensive Summary Discovery of unprecedented donor‐acceptor patterns can essentially enrich the chemistry of donor‐acceptor cyclopropanes. We herein introduce a concept of vinylogous fluorine stabilizing effect, which guides rational design of a novel donor‐acceptor cyclopropane employing gem‐difluorovinyl group as the electron donor, namely dFVCP. Application of such dFVCPs in a [3+2] cycloaddition with aldehydes and a controlled ring‐opening polymerization by a Mg(OTf)2/DIPEA/C(sp3)‐H initiator system have been demonstrated, providing direct access to fluorine‐containing tetrahydrofurans and all‐carbon main‐chain polymers. [ABSTRACT FROM AUTHOR]

Background and Purpose Experimental Approach Key Results Conclusions and Implications This study investigated the involvement of discoidin domain receptor (DDR) in dry eye and assessed the potential of specific DDR inhibitors as a therapeutic strategy for dry eye by exploring the underlying mechanism.Dry eye was induced in Wistar rats by applying 0.2% benzalkonium chloride (BAC), after which rats were treated topically for 7 days with DDR1‐IN‐1, a selective inhibitor of DDR1. Clinical manifestations of dry eye were assessed on Day‐7 post‐treatment. Histological evaluation of corneal damage was performed using haematoxylin and eosin (H&E) staining. In vitro, immortalized human corneal epithelial cells (HCECs) exposed to hyperosmotic stress (HS) were treated with varying doses of DDR1‐IN‐1 for 24 h. The levels of lipid peroxidation in dry eye corneas or HS‐stimulated HCECs were assessed. Protein levels of DDR1/DDR2 and related pathways were detected by western blotting. The cellular distribution of acyl‐CoA synthetase long chain family member 4 (ACSL4) and Yes‐associated protein (YAP) was evaluated using immunohistochemistry or immunofluorescent staining.In dry eye corneas, only DDR1 expression was significantly up‐regulated compared with normal controls. DDR1‐IN‐1 treatment significantly alleviated dry eye symptoms in vivo. The treatment remarkably reduced lipid hydroperoxide (LPO) levels and suppressed the expression of ferroptosis markers, particularly ACSL4. Overexpression or reactivation of YAP diminished the protective effects of DDR1‐IN‐1, indicating the involvement of the Hippo/YAP pathway in DDR1‐targeted therapeutic effects.This study confirms the significance of DDR1 in dry eye and highlights the potential of selective DDR1 inhibitor(s) for dry eye treatment. [ABSTRACT FROM AUTHOR]

A two-degree-of-freedom nonlinear high-speed railway wheelset model with two time delays in the lateral and yaw dampers is studied. The aim is to investigate the effect of time delays on stability and Hopf bifurcation characteristics of the wheelset model. The local stability of the trivial equilibrium under different time delay conditions is qualitatively analyzed. Analytical studies reveal that the wheelset model undergoes stability switches with the variation of the time delays. The stability switches correspond to Hopf bifurcations that occur when the time delays cross critical values. Furthermore, properties of Hopf bifurcation including direction and stability of bifurcating limit cycles are studied by using the normal form theory and the center manifold theorem. Our findings indicate that time delays in both lateral dampers and yaw dampers influence the stability and direction of Hopf bifurcation. Additionally, the numerical results show that time delays in the lateral and yaw dampers not only affect the amplitude of the hunting motion of the wheelset but also the periodic and chaotic motions. If the time delays gradually increase, the wheelset will vibrate irregularly with large lateral displacements. The analytical results presented in this paper offer a theoretical reference for the stability design of wheelsets. [ABSTRACT FROM AUTHOR]

Despite the significant importance of regenerating spent LiFePO4 (LFP) cathode materials to address resource shortages and environmental pollution, significant obstacles remain with ecologically friendly and cost-effective recycling processes. Herein, we propose a novel strategy to synthesize new high-performance nitrogen-doped carbon/graphene@LiFePO4 (N-DC/G@LFP) cathode materials by utilizing the spent LFP cathode material as raw materials. The regeneration strategy was performed in an alkaline solution, after repeated freezing and thawing, spray-drying, and subsequent thermal annealing under an Ar atmosphere. Benefiting from the synergistic effects that resulted from the tight contact between LiFePO4 and the high-conductivity nitrogen-doped carbon and graphene network, the refabricated N-DC/G@LFP cathodes delivered 124.8 mA h g−1 of excellent reversible discharge capacities at 2C, 117.5 mA h g−1 at 5C, and 149.7 mA h g−1 at 0.2C current rate. Furthermore, a 94.2% high-capacity retention ratio was observed over 500 cycles at 0.2C. This regeneration approach offers novel insight into the transformation from spent LFP cathodes to new cathode materials with efficient reutilization, which takes full advantage of the valuable components within the spent cathodes. Thus, this method enables the win–win situation of environmental protection and sustainable development of the LIB industry. [ABSTRACT FROM AUTHOR]

Significant pharmacokinetic (PK) differences exist between different forms of valproic acid (VPA), such as syrup and sustained‐release (SR) tablets. This study aimed to develop a population pharmacokinetic (PopPK) model for VPA in children with epilepsy and offer dose adjustment recommendation for switching dosage forms as needed. The study collected 1411 VPA steady‐state trough concentrations (Ctrough) from 617 children with epilepsy. Using NONMEM software, a PopPK model was developed, employing a stepwise approach to identify possible variables such as demographic information and concomitant medications. The final model underwent internal and external evaluation via graphical and statistical methods. Moreover, Monte Carlo simulations were used to generate a dose tailoring strategy for typical patients weighting 20–50 kg. As a result, the PK characteristics of VPA were described using a one‐compartment model with first‐order absorption. The absorption rate constant (ka) was set at 2.64 and 0.46 h−1 for syrup and SR tablets. Body weight and sex were identified as significant factors affecting VPA's pharmacokinetics. The final PopPK model demonstrated acceptable prediction performance and stability during internal and external evaluation. For children taking syrup, a daily dose of 25 mg/kg resulted in the highest probability of achieving the desired target Ctrough, while a dose of 20 mg/kg/day was appropriate for those taking SR tablets. In conclusion, we established a PopPK model for VPA in children with epilepsy to tailor VPA dosage when switching between syrup and SR tablets, aiming to improve plasma VPA concentrations fluctuations. [ABSTRACT FROM AUTHOR]

Over recent decades, Landsat satellite data has evolved into a highly valuable resource across diverse fields. Long-term satellite data records with integrity and consistency, such as the Landsat series, provide indispensable data for many applications. However, the malfunction of the Scan Line Corrector (SLC) on the Landsat 7 satellite in 2003 resulted in stripping in subsequent images, compromising the temporal consistency and data quality of Landsat time-series data. While various methods have been proposed to improve the quality of Landsat 7 SLC-off data, existing gap-filling methods fail to enhance the temporal resolution of reconstructed images, and spatiotemporal fusion methods encounter challenges in managing large-scale datasets. Therefore, we propose a method for reconstructing dense time series from SLC-off data. This method utilizes the Neighborhood Similar Pixel Interpolator to fill in missing values and leverages the time-series information to reconstruct high-resolution images. Taking the blue band as an example, the surface reflectance verification results show that the Mean Absolute Error (MAE) and BIAS reach minimum values of 0.0069 and 0.0014, respectively, with the Correlation Coefficient (CC) and Structural Similarity Index Metric (SSIM) reaching 0.93 and 0.94. The proposed method exhibits advantages in repairing SLC-off data and reconstructing dense time-series data, enabling enhanced remote sensing applications and reliable Earth's surface reflectance data reconstruction. [ABSTRACT FROM AUTHOR]

Background: Haemochromatosis is a genetic disease characterized by the excessive deposition of iron in various tissues and organs, eventually results in organ damage including cirrhosis, diabetes, cardiomyopathy, etc. SLC40A1-related haemochromatosis is associated with gain-of-function mutations in the SLC40A1 gene, which encodes ferroportin. While sporadic reports of this condition exist in mainland China, the understanding of the phenotype and genetic pattern associated with the SLC40A1 p.Y333H mutation remains incomplete. Case presentation: We report a pedigree with heterozygous p.Y333H mutation in Chinese Han population. The proband is a 64-year-old man complaining of persistent abnormality of liver enzyme levels for 1 year, with a history of knee joint pain, diabetes and skin pigmentation. He displayed markedly elevated serum ferritin level and transferrin saturation. Magnetic resonance imaging showed iron deposition in the liver, spleen, and pancreas, along with cirrhosis and splenomegaly. Whole exome sequencing identified a heterozygous allelic variant c.997T > C (p.Y333H). Genetic screening of family members identified four first-degree relatives and three second-degree relatives having the same mutation. Additional cases with this mutation from two published studies were included. Among the probands and screened relatives, all eight males aged over 30 y had ferritin level > 1000 µg/L, transferrin saturation > 90%. Four patients with organ damage in the present study received therapeutic phlebotomy, alleviating clinical symptoms and improving in transferrin saturation and serum ferritin. Conclusions: This study reports the largest pedigree with heterozygous SLC40A1 p.Y333H mutation in the Chinese population to date. In Chinese families, males over 30 years old with hemochromatosis due to SLC40A1 p.Y333H mutation exhibit severe iron overload phenotypes. [ABSTRACT FROM AUTHOR]

Chronic obstructive pulmonary disease (COPD) is often associated with lung squamous cell carcinoma (LUSC), which has the same etiology (smoking, inflammation, oxidative stress, microenvironmental changes, and genetics). Smoking, inflammation, and airway remodeling are the most important and classical mechanisms of COPD comorbidity in LUSC patients. Cancer can occur during repeated airway damage and repair (airway remodeling). Changes in the inflammatory and immune microenvironments, which can cause malignant transformation of some cells, are currently being revealed in both LUSC and COPD patients. We obtained the GSE76925 dataset from the Gene Expression Omnibus database. Screening for possible COPD biomarkers was performed using the LASSO regression model and a random forest classifier. The compositional patterns of the immune cell fraction in COPD patients were determined using CIBERSORT. HTR2B expression was analyzed using validation datasets (GSE47460, GSE106986, and GSE1650). HTR2B expression in COPD cell models was determined via real-time quantitative PCR. Epithelial–mesenchymal transition (EMT) marker expression levels were determined after knocking down or overexpressing HTR2B. HTR2B function and mechanism in LUSC were analyzed with the Kaplan‒Meier plotter database. HTR2B expression was inhibited to detect changes in LUSC cell proliferation. A total of 1082 differentially expressed genes (DEGs) were identified in the GSE76925 dataset (371 genes were significantly upregulated, and 711 genes were significantly downregulated). Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis indicated that the DEGs were mainly enriched in the p53 signaling and β-alanine metabolism pathways. Gene Ontology enrichment analysis indicated that the DEGs were largely related to transcription initiation from the RNA polymerase I promoter and to the regulation of mononuclear cell proliferation. The LASSO regression model and random forest classifier results revealed that HTR2B, DPYS, FRY, and CD19 were key COPD genes. Immune cell infiltration analysis indicated that these genes were closely associated with immune cells. Analysis of the validation sets suggested that HTR2B was upregulated in COPD patients. HTR2B was significantly upregulated in COPD cell models, and its upregulation was associated with increased EMT marker expression. Compared with that in bronchial epithelial cells, HTR2B expression was upregulated in LUSC cells, and inhibiting HTR2B expression led to the inhibition of LUSC cell proliferation. In conclusions, HTR2B might be a new biomarker and therapeutic target in COPD patients with LUSC. [ABSTRACT FROM AUTHOR]

High‐performance theranostic systems are of paramount importance for achieving precise image‐guided cancer immunotherapy. Here, a novel nanoplatform is presented that integrates aggregation‐induced emission luminogen (AIEgen) with prussian blue (PB) nanocatalyzer for robust cancer immunotherapy. The AIEgen with dimethylamine substitution demonstrates compelling near‐infrared (NIR) light‐induced photothermal conversion and photodynamic therapy (PDT) capabilities. By incorporating AIEgen into porous PBNPs, and further enveloped within M1 macrophage membrane, a tumor‐specific theranostic nanoagent is constructed. This strategic integration effectively constrains the molecular motion of AIEgen, leading to amplified NIR‐II fluorescence brightness and PDT attributes. Moreover, PBNPs can catalyze tumor‐overexpressed H2O2 to generate oxygen to boost PDT efficacy, and PB's NIR absorption also intensifies photoacoustic imaging and photothermal effect. The integration of NIR‐II fluorescence and photoacoustic imaging provides comprehensive information for photoimmunotherapy in orthotopic breast cancer‐bearing mice. Leveraging its potent immunogenic cell death effect, the nanoagent not only significantly inhibits cancer growth, but also generates a whole‐cell therapeutic cancer vaccine to protect mice from tumor rechallenge. In highly malignant post‐surgery breast cancer models, the nanoagent enables both accurate identification of residual tumors and efficient inhibition of postoperative tumor recurrence and pulmonary metastasis. This study will offer valuable insights for creating highly efficacious and multifaceted photoimmunotherapy protocols. [ABSTRACT FROM AUTHOR]

During the final stage of ladle teeming, vortex formation leads to air entrainment and slag entrapment, resulting in steel degradation. To effectively control this formation during ladle pouring, reverse rotation is introduced in the vortex to generate boundary disturbances. Further, water modeling is performed to investigate the influences of container diameter, nozzle diameter, initial disturbance, and reverse rotation on vortex formation. While larger‐diameter containers facilitate easier vortex formation, smaller‐diameter nozzles trigger faster vortex formation. Vortex penetration height and maintenance time increase with increasing initial tangential velocity. In addition, boundary disturbances resulting from reverse rotation effectively suppress vortex formation. Overall, to eliminate vortices, the applied disturbances must counteract the gradually accumulating angular momentum of the vortices. [ABSTRACT FROM AUTHOR]

Lead‐free perovskites exhibit unique crystal structures and optical properties due to their low‐dimensional structure. However, the 0D structure of Cs2InCl5·H2O usually demonstrates poor optical properties at room temperature due to their extremely strong electron–phonon coupling interaction. In this study, a doping strategy is employed by introducing Pb2+ into Cs2InCl5·H2O, resulting in the achievement of an efficient broadband blue emission, with a photoluminescence quantum yield (PLQY) of 58%. The temperature‐dependent PL spectra reveal that the efficient emission is attributed to the weakening of the electron–phonon coupling strength in the lattice and the inhibition of the phonon‐assisted non‐radiative recombination process through Pb2+ doping. The validity of this deduction is further corroborated by the results of the Raman spectra. The results of the first‐principle calculation demonstrate that the broadband emission originates from multiple emission paths in In3+ and Pb2+ polyhedrons. In addition, Pb2+‐doped Cs2InCl5·H2O can realize the transformation from sky‐blue emission to deep‐blue emission by absorbing water in the air. Remarkably, this change is reversible during the heating–cooling cycles, demonstrating excellent optical stability with repeatable recyclability. [ABSTRACT FROM AUTHOR]

Software process simulation models (SPSMs) that are based on descriptive process models offer the executability that can demonstrate dynamic changes of software processes over time. Verification and validation (V&V) is critical in SPSMs for guaranteeing the quality and reliability of models. V&V of dynamic software process models is more complex and challenging than for static software process models. This work systematically summarizes and maps V&V studies in SPSM to provide guidelines for future research and practice. Specifically, this study aims at identifying the focus of research on V&V, the methods used for V&V, and how to implement V&V of SPSMs in software engineering research. We conducted a systematic mapping study on studies of SPSMs that report on their V&V activities. Under the guidance of a V&V meta‐model for SPSMs, we study four research questions about V&V process. We identified 107 primary studies from a pool of 313 papers on SPSMs until 2021. There are two main results of our study. The first one presents the relationship between quality aspects of SPSMs and the V&V methods to assure them. The second result reveals the relationships among the modeling process, three modeling steps, five quality aspects, and 10 V&V methods. Generally, researchers do not pay sufficient attention to V&V, as 65.8% ((313−107)/313) failed to mention or elaborate on their V&V process. We systematically summarize and map the state‐of‐the‐art V&V research in software process modeling field to support modelers' practice and improve their V&V process. [ABSTRACT FROM AUTHOR]

Background and Aim: The study aims to evaluate the feasibility of body mass index (BMI)‐based individualized small bowel preparation for computed tomography enterography (CTE). Methods: In this prospective randomized controlled study, patients undergoing CTE were randomly assigned to the individualized group or standardized group. Those in individualized group were given different volumes of mannitol solution based on BMI (1000 mL for patients with BMI < 18.5 kg/m2, 1500 mL for patients with 18.5 kg/m2 ≤ BMI < 25 kg/m2 and 2000 mL for patients with BMI ≥ 25 kg/m2) while patients in the standardized group were all asked to consume 1500‐mL mannitol solution. CTE images were reviewed by two experienced radiologists blindly. Each segment of the small bowel was assessed for small bowel image quality and disease detection rates. Patients were invited to record a diary regarding adverse events and acceptance. Results: A total of 203 patients were enrolled and randomly divided into two groups. For patients with BMI < 18.5 kg/m2, 1000‐mL mannitol solution permitted a significantly lower rate of flatulence (P = 0.045) and defecating frequency (P = 0.011) as well as higher acceptance score (P = 0.015), but did not affect bowel image quality and diseases detection compared with conventional dosage. For patients with BMI ≥ 25 kg/m2, 2000‐mL mannitol solution provided better overall image quality (P = 0.033) but comparable rates of adverse events and patients' acceptance compared with conventional dosage. Conclusions: Individualized bowel preparation could achieve both satisfactory image quality and patients' acceptance thus might be an acceptable alternative in CTE. [ABSTRACT FROM AUTHOR]

Background: Little is known about the trend of informal care (unpaid care provided by family or other caregivers) provided to nursing home residents before or during the COVID‐19 pandemic. This study assessed this trend during 2010–2021, for all and Medicaid versus non‐Medicaid residents. Methods: Using data from the RAND Health and Retirement Study longitudinal file, our study sample included a total of 2025 resident‐years (860 for Medicaid and 1165 for non‐Medicaid residents). We fit two‐part regression models to determine adjusted trends in average amount of informal care over time, and difference by resident Medicaid status. Results: Informal care received by residents reduced substantially over time, from an average of 39.2 h in the past month of interview in 2010–11 to 23.2 h in 2018–19, and then to 11.2 h in the COVID‐19 pandemic (2020–21). The reduced hours were due to both reduced percentages of nursing home residents who received any informal care and reduced hours of care among those who did receive it over time. Multivariable analyses confirmed this trend and similar downward trends for Medicaid versus non‐Medicaid residents. Medicaid residents on average received 10.02 fewer hours of informal care per month (95% confidence interval −17.16, −2.87; p = 0.006) than non‐Medicaid residents after adjustment for resident characteristics and time trends. Conclusion: Informal care provided to nursing home residents during 2010–2021 reduced over time, especially during the COVID‐19 pandemic (2020–21). Medicaid residents tended to receive less informal care than non‐Medicaid residents. [ABSTRACT FROM AUTHOR]

The inverse design of nanophotonic devices has been widely concerned by researchers, and on-demand design is the difficulty of inverse design. In inverse design, researchers usually define a target spectrum based on the performance indicators and experiences and then inverse design the structural parameters from the target spectrum. Due to the uncertainty of inverse design and "one-to-many" problem, it is not usually possible to guarantee that the target spectrum is sure to correspond to a real nanostructure. In order to solve these problems, an inverse design method combining generative model and genetic algorithm is proposed in this paper. Before the inverse design, the real spectrum is compressed into a latent space by the generation model, and then, the target spectrum is decoded from the latent space according to the performance index. Finally, the hybrid optimization algorithm combining genetic algorithm and forward prediction network is used to optimize the generated spectrum. The design method follows the process from performance indicators to target spectrum to structural parameter, and we successfully realized the inverse design of multilayer nanofilms on demand by using this method in the experimental part. The inverse design method proposed in this paper provides a possible solution for the inverse design of nanophotonic devices on demand. [ABSTRACT FROM AUTHOR]

The permanent magnet claw pole machine (PMCPM) with soft magnetic composite (SMC) cores has shown better performance than the traditional transverse flux machine, and its performance can be improved by developing its stator with hybrid silicon sheet and SMC cores, and this kind of PMCPM is named as HPMCPM. Due to its complex 3D magnetic structure, analyzing its performance by using the traditional finite element method (FEM) is time-consuming. To overcome this constraint, this paper proposes a magneto-electric-thermal coupling network (METCN) model with bidirectional data transmission to calculate the electromagnetic performance and temperature distribution and the calculation results are verified by the FEM method and experimental measurement results. Compared with the 3D FEM, the proposed METCN method has the advantage of fast calculation speed and similar accuracy. [ABSTRACT FROM AUTHOR]

Purpose: This study aimed to investigate the prognostic value of alpha-fetoprotein (AFP) ratio in patients with AFP-negative hepatocellular carcinoma (HCC). Patients and Methods: We retrospectively analyzed 600 AFP-negative HCC patients who underwent hepatectomy. The AFP ratio was calculated as the ratio of AFP level 1 week before surgery to the level 20-40 days after hepatectomy. Immunohistochemistry assay was used to assess protein expression in HCC tissue. The primary outcome measures were overall survival (OS) and disease-free survival (DFS). Results: The study found that a cutoff value of 1.6 ng/ml for AFP ratio, determined using X-tile software, was optimal for predicting prognosis. Patients with a high AFP ratio had a worse prognosis compare to those with a low AFP ratio (DFS, P =.026; OS, P =.034). Patients with a high AFP ratio had a worse prognosis compared to those with a low AFP ratio. Multivariate analysis revealed that AFP ratio >1.6, negative HepPar-1 expression, and vascular invasion were independent predictors of both DFS and OS. Vascular invasion had a higher area under the curve (AUC) than AFP ratio and HepPar-1 expression in predicting recurrence and death. The combination of AFP ratio, HepPar-1 expression, and vascular invasion provided better predictive accuracy for DFS and OS. Conclusion: The AFP ratio is a potential prognostic marker for AFP-negative HCC patients after hepatectomy. Combining the analysis of AFP ratio with HepPar-1 expression and vascular invasion can enhance the accuracy of predicting prognosis in these patients. [ABSTRACT FROM AUTHOR]

This experiment aimed to investigate the impact of malic acid (MA) and citric acid (CA) on the nutritional composition, fermentation quality, rumen degradation rate, and microbial diversity of a mixture of apple pomace and corn protein powder during ensiling. The experiment used apple pomace and corn protein powder as raw materials, with four groups: control group (CON), malic acid treatment group (MA, 10 g/kg), citric acid treatment group (CA, 10 g/kg), and citric acid + malic acid treatment group (MA, 10 g/kg + CA, 10 g/kg). Each group has 3 replicates, with 2 repetitions in parallel, subjected to mixed ensiling for 60 days. The results indicated: (1) Compared to the CON group, the crude protein content significantly increased in the MA, CA, and MA + CA groups (p < 0.05), with the highest content observed in the MA + CA group. The addition of MA and CA effectively reduced the water-soluble carbohydrate (WSC) content (p < 0.05). Simultaneously, the CA group showed a decreasing trend in NDFom and hemicellulose content (p = 0.08; p = 0.09). (2) Compared to the CON group, the pH significantly decreased in the MA, CA, and MA + CA groups (p < 0.01), and the three treatment groups exhibited a significant increase in lactic acid and acetic acid content (p < 0.01). The quantity of lactic acid bacteria increased significantly (p < 0.01), with the MA + CA group showing a more significant increase than the MA and CA groups (p < 0.05). (3) Compared to the CON group, the in situ dry matter disappearance (ISDMD) significantly increased in the MA, CA, and MA + CA groups (p < 0.05). All three treatment groups showed highly significant differences in in situ crude protein disappearance (ISCPD) compared to the CON group (p < 0.01). (4) Good's Coverage for all experimental groups was greater than 0.99, meeting the conditions for subsequent sequencing. Compared to the CON group, the Shannon index significantly increased in the CA group (p < 0.01), and the Simpson index increased significantly in the MA group (p < 0.05). However, there was no significant difference in the Chao index among the three treatment groups and the CON group (p > 0.05). At the genus level, the abundance of Lentilactobacillus in the MA, CA, and MA + CA groups was significantly higher than in the control group (p < 0.05). PICRUSt prediction results indicated that the metabolic functional microbial groups in the CA and MA treatment groups were significantly higher than in the CON group (p < 0.05), suggesting that the addition of MA or CA could reduce the loss of nutritional components such as protein and carbohydrates in mixed ensilage. In conclusion, the addition of malic acid and citric acid to a mixture of apple pomace and corn protein powder during ensiling reduces nutritional losses, improves fermentation quality and rumen degradation rate, enhances the diversity of the microbial community in ensiled feed, and improves microbial structure. The combined addition of malic acid and citric acid demonstrates a superior effect. [ABSTRACT FROM AUTHOR]

Late onset Alzheimer's disease (AD) is a progressive neurodegenerative disease, with brain changes beginning years before symptoms surface. AD is characterized by neuronal loss, the classic feature of the disease that underlies brain atrophy. However, GWAS reports and recent single-nucleus RNA sequencing (snRNA-seq) efforts have highlighted that glial cells, particularly microglia, claim a central role in AD pathophysiology. Here, we tailor pattern-learning algorithms to explore distinct gene programs by integrating the entire transcriptome, yielding distributed AD-predictive modules within the brain's major cell-types. We show that these learned modules are biologically meaningful through the identification of new and relevant enriched signaling cascades. The predictive nature of our modules, especially in microglia, allows us to infer each subject's progression along a disease pseudo-trajectory, confirmed by post-mortem pathological brain tissue markers. Additionally, we quantify the interplay between pairs of cell-type modules in the AD brain, and localized known AD risk genes to enriched module gene programs. Our collective findings advocate for a transition from cell-type-specificity to gene modules specificity to unlock the potential of unique gene programs, recasting the roles of recently reported genome-wide AD risk loci. Designing a supervised latent factor framework for snRNA-seq human brain, the authors find distinct Alzheimer's-predictive gene modules across celltypes, suggesting subcelltype disease progression trajectories. [ABSTRACT FROM AUTHOR]

In this paper, the authors briefly review some closed-form formulas of the Gauss hypergeometric function at specific arguments, alternatively prove four of these formulas, newly extend a closed-form formula of the Gauss hypergeometric function at some specific arguments, successfully apply a special case of the newly extended closed-form formula to derive an alternative form for the Maclaurin power series expansion of the Wilf function, and discover two novel increasing rational approximations to a quarter of the circular constant. [ABSTRACT FROM AUTHOR]

Recently, the role of competing endogenous RNAs in regulating gene expression through the interaction of microRNAs has been closely associated with the expression of circular RNAs (circRNAs) in various biological processes such as reproduction and apoptosis. While the number of confirmed circRNA–miRNA interactions (CMIs) continues to increase, the conventional in vitro approaches for discovery are expensive, labor intensive, and time consuming. Therefore, there is an urgent need for effective prediction of potential CMIs through appropriate data modeling and prediction based on known information. In this study, we proposed a novel model, called DeepCMI, that utilizes multi-source information on circRNA/miRNA to predict potential CMIs. Comprehensive evaluations on the CMI-9905 and CMI-9589 datasets demonstrated that DeepCMI successfully infers potential CMIs. Specifically, DeepCMI achieved AUC values of 90.54% and 94.8% on the CMI-9905 and CMI-9589 datasets, respectively. These results suggest that DeepCMI is an effective model for predicting potential CMIs and has the potential to significantly reduce the need for downstream in vitro studies. To facilitate the use of our trained model and data, we have constructed a computational platform, which is available at http://120.77.11.78/DeepCMI/. The source code and datasets used in this work are available at https://github.com/LiYuechao1998/DeepCMI. [ABSTRACT FROM AUTHOR]

Objectives: Inflammatory cytokine secretion and gut microbiota dysbiosis play crucial roles in ulcerative colitis. In this research, the protective effects of peimisine on colitis mice were investigated. Methods: The protective effects were evaluated by the disease activity index, colonic length, hematoxylin–eosin, and AB/PAS Staining. The protective mechanisms were analyzed by ELISA, Western-blot, immunohistochemistry staining, immunofluorescence staining, and 16S rRNA gene analysis. Key findings: The results showed that peimisine treatment could reduce the disease activity index, prevent colonic shortening, and alleviate colon tissue damage. Peimisine treatment also decreased the levels of MCP-1, IL-1β, IL-6, IFN-γ, TNF-α and affected macrophage polarization and Th17/Treg cell balance by downregulating the expression of jak1/2, p-jak1/2, stat1/3, and p-stat1/3. Moreover, peimisine treatment significantly increased the abundances of beneficial microbes (e.g. Ruminococcaceae UCG-014 and Lachnospiraceae_NK4A136_group) and decreased the abundances of harmful microbes (e.g. Bacteroides and Escherichia). Conclusions: Peimisine can ameliorate colitis by inhibiting Jak–Stat signaling pathway, reversing gut microbiota alterations, suppressing macrophage M1 polarization, maintaining the Th17/Treg cell balance, and reducing sustained inflammatory cytokines-related inflammatory injury. [ABSTRACT FROM AUTHOR]

A new 1,6-seco-norisoprenoid, named croyanhuin G (1), together with ten known norisoprenoids (2–11), was isolated from the leaves and twigs of Croton yanhuii Y. T. Chang (Euphorbiaceae). The structure of this new compound was characterized and identified by HR-ESI-MS, IR, and 1D and 2D NMR spectroscopic techniques. Compound 1 was evaluated for its cytotoxic activity against HeLa cell line. [ABSTRACT FROM AUTHOR]

This article primarily investigates the width problem within weighted band-limited function space in a uniform setting. Through an analysis of the properties of s-numbers, we establish a connection between the widths of weighted band-limited function spaces and the s-numbers of infinite-dimensional diagonal operators. Furthermore, employing the discretization method, we estimate the exact asymptotic orders of Kolmogorov n-width and linear n-width in the weighted band-limited function space, which is characterized by the weight ω = ω k = | k | r k ∈ Z 0 . [ABSTRACT FROM AUTHOR]

Magnetic flux leakage (MFL) technology is remarkable for its capability to detect pipeline geometric deformation and general corrosion defects. However, it cannot characterize the MFL behavior in stress-concentrated areas, thereby greatly challenging the subsequent pipeline maintenance. This study suggests that the MFL characteristics of pipeline in stress-concentrated areas are caused by the combined effect of the face magnetic charge on the deformed end-face and the body magnetic charge of the dislocation stack. In addition, an improved force–magnetic coupling model of the pipeline in stress-concentrated areas is established based on the magnetic dipole model and Jiles–Atherton (J–A) theory. In the verification experiment, the Q235 steel plate is magnetized along the extension direction (axis of the pipeline) through the solenoid coil to obtain the distribution law of the MFL signal in the stress-concentrated area under different excitation intensities. The results show that with the increase in excitation intensity, the deformation of the MFL field signal caused by the end-face of the stress-concentrated area gradually increases to a stable state. Moreover, the internal stress of the MFL field signal generated by the pipe dislocation rapidly increases to a peak value and then decays exponentially to a certain base value. The overall change trend is in good agreement with the calculation results of the established force–magnetic coupling model. Meanwhile, the differentiation research between deformation and internal stress MFL field signals under different magnetic field intensities can provide a reliable theoretical basis for the subsequent accurate identification and quantification of pipeline stress-concentrated areas. [ABSTRACT FROM AUTHOR]

The Madden–Julian Oscillation (MJO) provides an important source of global subseasonal-to-seasonal (S2S) predictability, while its prediction remains great challenges. Based on an atmosphere–ocean coupled model and the widely-used nudging method, suitable initialization and ensemble schemes are explored toward an improved MJO prediction. Results show that the ensemble strategy with perturbed atmospheric nudging coefficients facilitates adequate ensemble spread and hence improves the prediction skill, particularly for weak cases. Finally, an 18-member ensemble subseasonal prediction system called NUIST CFS1.1 is developed. Skill evaluation indicates that the NUIST CFS1.1 can extend the MJO prediction to 24 days lead, which reaches the world-average level but is far from the estimated potential predictability (~ 45 days). The limited skill at longer lead times corresponds to forecast errors exhibiting slower propagation and weaker intensity, which are jointly caused by the initial errors and model's imperfections. The latter is associated with unrealistic representations of MJO-related physical processes. The model underestimates the diabatic heating (mostly contributed by the latent heat release) of enhanced convection and fails to reproduce the suppressed convection within the MJO structure, collaboratively weakening the Kelvin/Rossby waves. This causes weaker horizontal winds and ultimately reduces the horizontal moisture advection on the two flanks of MJO convection. Furthermore, the underestimated Kelvin wave induces insufficient planetary boundary layer (PBL) convergence and thereby results in poor simulation of PBL premoistening ahead of MJO convection. Interestingly, the commonly dry bias is absent in our model, and the bias in horizontal moisture gradients may have a minor impact on the MJO propagation. Further efforts are urged to improve the model physics involving cumulus and PBL processes. [ABSTRACT FROM AUTHOR]

The design of stable and variable aryl linkers for conjugating drug moieties to the metabolism-related thiols is of importance in drug discovery. We disclosed that thioimidazolium groups are unique scaffolds for the thiol–(hetero)arene conjugation under mild conditions. The drug bound thioimidazolium salts, which are easily accessible via a copper-mediated Chan–Lam process in gram-scale, could be successfully applied to the late-stage coupling of bioactive thiols to construct a broad array of drug-like molecules. [ABSTRACT FROM AUTHOR]

The transition density of the diffusion process plays an important role in calculating the dynamic characteristics of the underlying variables as well as the model estimation. In this article, we combine the idea of conditional probability density function with non parametric kernel regression, and introduce the kernel estimation of joint density function and marginal density function, then construct the non parametric kernel estimator of the transition density of second-order diffusion process based on discrete observational samples. In order to obtain the asymptotic properties of the new kernel estimator, we analyze the asymptotic expectation and asymptotic variance of the proposed estimator under some mild conditions. Finally, the consistency and asymptotic normality of the new proposed non parametric estimator of the transition density function are proved. [ABSTRACT FROM AUTHOR]

Background: Breast cancer is the most common cause of cancer-related deaths among women globally and the most deadly illness for them. New advances in nanotechnology have led to the development of strategies intended to target breast cancer cells more precisely while causing the least amount of damage to healthy cells. We retrieved articles about nanomaterials for the diagnosis and treatment of breast cancer from the Web of Science Core Collection (WoSCC) database between 2008 and 2023. Our research aims to assess publications on the use of nanomaterials for breast cancer treatment and diagnosis to predict future research directions. Results: A total of 457 papers on nanomaterials in breast cancer were discovered from various nations, with China being the primary source and the United States having the highest H index. The number of papers in this discipline is increasing on an annual basis. The Egyptian Knowledge Bank is an important research center in this sector. The International Journal of Nanomedicine has the most papers, and Kesharwani P is the most frequently referenced author. The most quoted article was written by Miele, Evelina of India in 2009. Topics such as drug delivery may be emerging areas of research. Conclusion: Our findings predict that the use of nanomaterials in medication delivery will become a significant research area in the future, and provide valuable references for scholars investigating the role of nanotechnology in breast cancer. [ABSTRACT FROM AUTHOR]

Adding hydrocolloids into native starch is a secure and valid method of physical modification. However, few research focuses on the interactions between konjac gum (KGM) and purple potato starch (PPS). In this study, the effects of KGM on the physicochemical, rheological, textural properties, and in vitro digestibility of PPS are evaluated. The swelling power, solubility, transparency, zeta potential value, particle size, gel adhesiveness, and cohesiveness of PPS are enhanced with increasing KGM content. The results show the combination of PPS and KGM exhibits a higher adhesiveness and a denser structure than that of PPS alone. Static rheological analysis shows PPS/KGM composites exhibit pseudoplastic and shear thinning enhancement behaviors with the rise of the KGM content from 0% to 2.5%. Dynamic rheological analysis reveals that storage modulus (G') > loss modulus (G″), mainly showing elastic behavior, and G′, G″, and the loss tangent (tan δ) increase with the rise of the KGM content from 0% to 2.5%. Fourier transform infrared spectroscopy analysis shows stronger hydrogen bonding of PPS/KGM complexes compared to PPS only. Moreover, KGM increases the contents of resistant starch. All these findings indicate that KGM can improve the functional properties of PPS. [ABSTRACT FROM AUTHOR]

Human-induced pluripotent stem cells (hiPSCs) offer a promising source for generating dental epithelial (DE) cells. Whereas the existing differentiation protocols were time-consuming and relied heavily on growth factors, herein, we developed a three-step protocol to convert hiPSCs into DE cells in 8 days. In the first phase, hiPSCs were differentiated into non-neural ectoderm using SU5402 (an FGF signaling inhibitor). The second phase involved differentiating non-neural ectoderm into pan-placodal ectoderm and simultaneously inducing the formation of oral ectoderm (OE) using LDN193189 (a BMP signaling inhibitor) and purmorphamine (a SHH signaling activator). In the final phase, OE cells were differentiated into DE through the application of Purmorphamine, XAV939 (a WNT signaling inhibitor), and BMP4. qRT-PCR and immunostaining were performed to examine the expression of lineage-specific markers. ARS staining was performed to evaluate the formation of the mineralization nodule. The expression of PITX2, SP6, and AMBN, the emergence of mineralization nodules, and the enhanced expression of AMBN and AMELX in spheroid culture implied the generation of DE cells. This study delineates the developmental signaling pathways and uses small molecules to streamline the induction of hiPSCs into DE cells. Our findings present a simplified and quicker method for generating DE cells, contributing valuable insights for dental regeneration and dental disease research. [ABSTRACT FROM AUTHOR]

The primary objective of this study was to develop soil quality indexes (SQIs) to reveal the changes in SQ during the restoration of vegetation in the reclaimed waste dumps of the Hequ open-pit coal mine. The study built an SQI evaluation model for waste dumps based on the soil management assessment framework. The total data set (TDS) consisted of nine physicochemical property indicators. The selection of the minimum data set (MDS) involved the utilization of principal component analysis (PCA) and Norm values. The SQ was comprehensively evaluated for nine indicators, taking into account the non-linear membership function and the improved Nemerow index. The findings suggested a notable disparity in the SQ between the reclaimed area and the unreclaimed area, yet the overall SQ fell short. In the TDS index system, the organic matter has the highest weight and a greater contribution to the soil quality of the waste dumps. In the MDS indicator system, the weights of organic matter and total nitrogen are both 0.5. According to Nemerow index method, the average SQIN of 5 plots is calculated to be 0.4352 ± 0.194. The average value obtained from TDS is 0.581 ± 0.236, and the average value obtained from MDS is 0.602 ± 0.351. The weighted additive method was employed to compute three SQIs, all of which yielded satisfactory outcomes. And the above evaluation methods indicate that the overall soil quality level of the waste dumps is at a moderate level. The sequence of SQ in various waste dumps was as follows: No.4lower > No.1 > No.2 > No.3 > No.4upper. Specifically, the non-linear membership function indicated that pH, available nitrogen (AN), available phosphorus (AP), surface moisture content (SMC), and bulk density (BD) were crucial in limiting SQIs in total waste dumps. The crucial limiting SQIs in unreclaimed areas were total phosphorus (TP) and total nitrogen (TN). This analysis demonstrates its efficacy in formulating strategies for the SQ evaluation and targeted soil reclamation plans of waste dumps. [ABSTRACT FROM AUTHOR]

Background: The macrolide antibiotic avermectin, a natural product derived from Streptomyces avermitilis, finds extensive applications in agriculture, animal husbandry and medicine. The mtrA (sav_5063) gene functions as a transcriptional regulator belonging to the OmpR family. As a pleiotropic regulator, mtrA not only influences the growth, development, and morphological differentiation of strains but also modulates genes associated with primary metabolism. However, the regulatory role of MtrA in avermectin biosynthesis remains to be elucidated. Results: In this study, we demonstrated that MtrA, a novel OmpR-family transcriptional regulator in S. avermitilis, exerts global regulator effects by negatively regulating avermectin biosynthesis and cell growth while positively controlling morphological differentiation. The deletion of the mtrA gene resulted in an increase in avermectin production, accompanied by a reduction in biomass and a delay in the formation of aerial hyphae and spores. The Electrophoretic Mobility Shift Assay (EMSA) revealed that MtrA exhibited binding affinity towards the upstream region of aveR, the intergenic region between aveA1 and aveA2 genes, as well as the upstream region of aveBVIII in vitro. These findings suggest that MtrA exerts a negative regulatory effect on avermectin biosynthesis by modulating the expression of avermectin biosynthesis cluster genes. Transcriptome sequencing and fluorescence quantitative PCR analysis showed that mtrA deletion increased the transcript levels of the cluster genes aveR, aveA1, aveA2, aveC, aveE, aveA4 and orf-1, which explains the observed increase in avermectin production in the knockout strain. Furthermore, our findings demonstrate that MtrA positively regulates the cell division and differentiation genes bldM and ssgC, while exerting a negative regulatory effect on bldD, thereby modulating the primary metabolic processes associated with cell division, differentiation and growth in S. avermitilis, consequently impacting avermectin biosynthesis. Conclusions: In this study, we investigated the negative regulatory effect of the global regulator MtrA on avermectin biosynthesis and its effects on morphological differentiation and cell growth, and elucidated its transcriptional regulatory mechanism. Our findings indicate that MtrA plays crucial roles not only in the biosynthesis of avermectin but also in coordinating intricate physiological processes in S. avermitilis. These findings provide insights into the synthesis of avermectin and shed light on the primary and secondary metabolism of S. avermitilis mediated by OmpR-family regulators. [ABSTRACT FROM AUTHOR]

Purpose: We aim to establish diagnostic thresholds of sarcopenia and myosteatosis based on CT measurements, and to validate their prognostic value in a large cohort of kidney transplant recipients. Methods: Local healthy population with abdominal CT between 2010 and 2022, and patients underwent kidney transplantation between 2015 and 2019 at our center were retrospectively included. The skeletal muscle index and muscle attenuation of abdominal muscles were calculated based on CT image at the middle of the third lumbar vertebra. Primary endpoints included all-cause mortality and death censored allograft survival. Results: Age- and sex-specific thresholds for sarcopenia and myosteatosis were established based on 1598 healthy local population. The final patient cohort consisted of 992 kidney transplant recipients (median age 34 years, interquartile range 28–44 years; 694 males), including 33 (3.3%) with sarcopenia and 95 (9.5%) with myosteatosis. Multivariate analysis revealed myosteatosis (adjusted hazard ratio = 3.08, p = 0.022) was an independent baseline risk factor of mortality after adjusting for age, the history of cancer, and the history of cardiovascular event. Multivariate analysis found preemptive transplantation (adjusted hazard ratio = 0.36, p = 0.037) was an independent protective factor of allograft loss. No difference was found in the prognosis between kidney transplant recipients with and without sarcopenia. Conclusion: Myosteatosis was an independent risk factor of mortality after kidney transplantation, but sarcopenia was not. Neither sarcopenia nor myosteatosis was associated with graft loss. [ABSTRACT FROM AUTHOR]

The purpose of this experiment was to explore the effects of crude extract of Codonopsis pilosula and Astragalus membranaceus (CAE) on growth performance, serum biochemical index, immune organ index, and intestinal morphology of Sanhuang chickens. A total of 360 one-day-old Guangxi Sanhuang chicks weighing (27.0±0.5) g and in good physiological condition were randomly divided into three groups with six replicates in each group and 20 chickens in each replicate. CON group was fed a basal diet, CAE group was fed basal diet with 2.5 g/kg crude extract of Codonopsis pilosula and Astragalus membranaceus, and ANT group was fed basal diet with 0.05 g/kg chlortetracycline. The trial period was 42 days. The results showed that compared with CON group, the final weight and average daily gain of CAE group and ANT group increased significantly (P<0.05), the feed-to-weight ratio decreased significantly (P<0.05), and the mortality rate decreased by 3.33% (P>0.05). Compared with CON group, the activity of aspartate aminotransferase and the content of triglyceride and cholesterol in serum of CAE group and ANT group decreased significantly (P<0.05). Compared with CON group, CAE group and ANT group had significantly higher French capsule index (P<0.05). Compared with CON group, the villus height and villus-saphenous ratio of twelve intestines in CAE group and ANT group were significantly higher (P<0.05). The study indicates that the crude extract of Codonopsis pilosula and Astragalus membranaceus has positive effects on the growth performance, serum biochemical index, immune organ index and intestinal morphology of Sanhuang chickens, which was equivalent to the application effect of antibiotics. [ABSTRACT FROM AUTHOR]

A novel functional polycarbonate (PAGC), characterized by the presence of double bonds within its side chain, was successfully synthesized through a ternary copolymerization of propylene oxide (PO), allyl glycidyl ether (AGE), and carbon dioxide (CO2). Polyhedral oligomeric silsesquioxanes octamercaptopropyl (POSS-SH) was employed as a crosslinking agent, contributing to the formation of organic–inorganic hybrid materials. This incorporation was facilitated through thiol-ene click reactions, enabling effective interactions between the POSS molecules and the double bonds in the side chains of the polycarbonate. Scanning electron microscopy (SEM) and energy-dispersive X-ray spectroscopy (EDS) confirmed a homogeneous distribution of silicon (Si) and sulfur (S) in the polycarbonate matrix. The thiol-ene click reaction between POSS-SH and the polycarbonate led to a micro-crosslinked structure. This enhancement significantly increased the tensile strength of the polycarbonate to 42 MPa, a notable improvement over traditional poly (propylene carbonate) (PPC). Moreover, the cross-linked structure exhibited enhanced solvent resistance, expanding the potential applications of these polycarbonates in various plastic materials. [ABSTRACT FROM AUTHOR]

Soil N-fixing bacterial (NFB) community may facilitate the successful establishment and invasion of exotic non-nitrogen (N) fixing plants. Invasive plants can negatively affect the NFB community by releasing N during litter decomposition, especially where N input from atmospheric N deposition is high. This study aimed to quantitatively compare the effects of the invasive Rhus typhina L. and native Koelreuteria paniculata Laxm. trees on the litter mass loss, soil physicochemical properties, soil enzyme activities, and the NFB. Following N supplementation at 5 g N m−2 yr−1 in four forms (including ammonium, nitrate, urea, and mixed N with an equal mixture of the three individual N forms), a litterbag-experiment was conducted indoors to simulate the litter decomposition of the two trees. After four months of decomposition, the litter cumulative mass losses of R. typhina under the control, ammonium chloride, potassium nitrate, urea, and mixed N were 57.93%, 57.38%, 58.69%, 63.66%, and 57.57%, respectively. The litter cumulative mass losses of K. paniculata under the control, ammonium chloride, potassium nitrate, urea, and mixed N were 54.98%, 57.99%, 48.14%, 49.02%, and 56.83%, respectively. The litter cumulative mass losses of equally mixed litter from both trees under the control, ammonium chloride, potassium nitrate, urea, and mixed N were 42.95%, 42.29%, 50.42%, 46.18%, and 43.71%, respectively. There were antagonistic responses to the co-decomposition of the two trees. The litter mass loss of the two trees was mainly associated with the taxonomic richness of NFB. The form of N was not significantly associated with the litter mass loss in either species, the mixing effect intensity of the litter co-decomposition of the two species, and NFB alpha diversity. Litter mass loss of R. typhina was significantly higher than that of K. paniculata under urea. The litter mass loss of the two trees under the control and N in four forms mainly affected the relative abundance of numerous NFB taxa, rather than NFB alpha diversity. [ABSTRACT FROM AUTHOR]

The design and development of efficient photocatalyst is the key to raising the efficiency of H 2 production via photocatalytic water-splitting. Herein, NiS 2 /H 2 O 2 –CdS (NC) composite photocatalysts were prepared by modifying CdS with H 2 O 2 and using NiS 2 as the cocatalyst. The experimental results showed that NC had excellent H 2 evolution activity (42.21 mmol g−1 h−1), 136.2 times that of pure CdS, 3.8 times that of Pt/CdS (11.24 mmol g−1 h−1). Based on the detailed experimental characterization and DFT calculations, the excellent photocatalytic activity was discovered. Firstly, H 2 O 2 changes the morphology of CdS from cone shape to mesoporous particles and greatly increases its specific surface area and also improves the diffusion of H 2. Secondly, the cocatalyst NiS 2 extends the range of light absorption, more importantly, it makes both the migration of electrons and reduction of H+/H 3 O+ much easier because it is metallic and of low absorption/desorption Gibbs energy for hydrogen. • NiS 2 /H 2 O 2 –CdS catalyst has excellent hydrogen evolution performance and high stability. • H 2 O 2 changes the morphology of CdS and greatly increases its specific surface area. • The hydrogen evolution mechanism of NiS 2 /H 2 O 2 –CdS is proposed. [ABSTRACT FROM AUTHOR]

Museum artifacts are the main way for visitors to experience and learn about cultural heritage. Augmented reality (AR) allows for high interactivity and is increasingly applied in museums to improve tourists' experience and learning. It also supports the extension of museum experience to outside of the physical museum space, contributing to the visiting trajectory and takeaway experience. In this paper, we present our design of two tangible AR interfaces for cultural artifacts: Postcard AR and CubeMuseum AR, followed by three user studies that evaluate and optimize the design. In Study 1, we conducted a within-subjects study (N = 24) that compares the two AR interfaces with a baseline condition (Leaflet). Our results demonstrate the positive effects of tangible AR interfaces on users' motivation and engagement in learning cultural heritage. In Study 2, we further explored how to optimize CubeMuseum AR by adopting a user-centered design approach. Through the analysis of expert interviews (N = 7) and an online survey (N = 207), the results specify a series of requirements and design guidelines for tangible AR interfaces to be used as a learning tool and a hybrid gift. Based on the findings, the design of the CubeMuseum AR was optimized and evaluated in Study 3. A between-subjects user study was conducted (N = 32) to compare the optimized design with the initial design. The results verified the positive effects of gamified tangible AR interfaces on users' motivation, engagement, and performance in learning cultural heritage. We present our design and evaluation results, and discuss the implications of designing tangible AR interfaces for cultural heritage learning and museum gifting. [ABSTRACT FROM AUTHOR]

The advent of the Internet of Things brought a new age of interconnected device functionality, ranging from personal devices and smart houses to industrial control systems. However, increased security risks have emerged in its wake, in particular self-replicating malware that exploits weak device security. Studies modeling malware epidemics aim to predict malware behavior in essential ways, usually assuming a number of simplifications, but they invariably simplify the single most important subdynamics of malware: random propagation. In our previous work, we derived and presented the first exact mathematical model of random propagation, defined as the subdynamics of propagation of a malware model. The propagation dynamics were derived for the SIS model in discrete form. In this work, we generalize the methodology of derivation and extend it to any Markov chain model of malware based on random propagation. We also propose a second method of derivation based on modifying the simplest form of the model and adjusting it for more complex models. We validated the two methodologies on three malware models, using simulations to confirm the exactness of the propagation dynamics. Stochastic errors of less than 0.2% were found in all simulations. In comparison, the standard nonlinear model of propagation (present in ∼95% of studies) has an average error of 5% and a maximum of 9.88% against simulations. Moreover, our model has a low mathematical trade-off of only two additional operations, being a proper substitute to the standard literature model whenever the dynamical equations are solved numerically. [ABSTRACT FROM AUTHOR]

In an increasingly competitive market, predicting the customer's consumption behavior has a vital role in customer relationship management. In this study, a new classifier for customer consumption behavior prediction is proposed. The proposed methods are as follows: (i) A feature selection method based on least absolute shrinkage and selection operator (Lasso) and Principal Component Analysis (PCA), to achieve efficient feature selection and eliminate correlations between variables. (ii) An improved genetic-eXtreme Gradient Boosting (XGBoost) for customer consumption behavior prediction, to improve the accuracy of prediction. Furthermore, the global search ability and flexibility of the genetic mechanism are used to optimize the XGBoost parameters, which avoids inaccurate parameter settings by manual experience. The adaptive crossover and mutation probabilities are designed to prevent the population from falling into the local extremum. Moreover, the grape-customer consumption behavior dataset is employed to compare the six Lasso-based models from the original, normalized and standardized data sources with the Isometric Mapping, Locally Linear Embedding, Multidimensional Scaling, PCA and Kernel Principal Component Analysis methods. The improved genetic-XGBoost is compared with several well-known parameter optimization algorithms and state-of-the-art classification approaches. Furthermore, experiments are conducted on the University of California Irvine datasets to verify the improved genetic-XGBoost algorithm. All results show that the proposed methods outperform the existing ones. The prediction results provide the decision-making basis for enterprises to formulate better marketing strategies. [ABSTRACT FROM AUTHOR]

The quantile regression technique is introduced into the Lotka–Volterra ecosystem analysis framework. The quantile grey Lotka–Volterra model is established to reveal the dynamic trade relationship between China and the United States. An optimisation model is constructed to solve optimum quantile parameters. The empirical results show that the quantile grey Lotka–Volterra model shows higher fitting accuracy and reveals the trade relationships at different quantiles based on quarterly data on China–US trade from 1999 to 2019. The long-term China–US trade relationship presents a prominent predator–prey relationship because exports from China to the US inhibited China's imports from the United States. Moreover, we divide samples into five stages according to four key events, China's accession to the WTO, the 2008 global financial crisis, the weak global economic recovery in 2015, and the 2018 China–US trade war, recognising various characteristics at different stages. [ABSTRACT FROM AUTHOR]

This exploratory study attempts to understand how bilingual instruction can be incorporated effectively in a non-English speaking higher education context by examining the effectiveness of bilingual Korean instruction for Chinese international students at a South Korean university. Using quantitative and qualitative data sources consisting of an end-of-semester survey (n = 42) and individual in-depth interviews (n = 6), descriptive statistical analysis of the survey, and thematic analysis of qualitative data presents three major findings. First, bilingual instruction for Korean language learners facilitated dynamic social interactions. Second, Korean-Chinese bilingual instruction facilitated learners' emotional engagement in language learning. Third, Korean instructors' use of bilingual approaches for grammar instruction, sentence semantic descriptions, and error corrections benefited learners' language acquisition and overall academic skills development. Fourth, while Korean language learners were generally satisfied with bilingual instruction, some evaluative feedback challenges the deeply rooted monolingual norms and principles. Finally, recommendations and implications are provided for effective bilingual and translanguaging pedagogic approaches in Korean higher education contexts. [ABSTRACT FROM AUTHOR]

Background: Home time is an important patient‐centric quality metric, which has been largely unexamined among assisted living (AL) residents. Our objectives were to assess variation in home time among AL residents in the year following admission and to examine the associations with state regulations for direct care workers (DCW) training and staffing and for licensed nurse staffing. Methods: Medicare beneficiaries who entered AL communities in 2018 were identified, and their home time in the year following admission was measured. Home time was calculated as the percentage of time spent at home per day being alive. Resident characteristics and state regulations in DCW staffing, DCW training, and licensed staffing were measured. We used a multivariate linear regression model with AL‐level fixed effects to estimate the relationship between person‐level characteristics and home time. Linear regression models adjusting for resident characteristics were used to estimate the association between state regulations and residents' home time. Results: The study sample included 59,831 new Medicare beneficiary residents in 12,143 ALs. In the year following AL admission, residents spent 94% (standard deviation = 14.6) of their time at home. Several resident characteristics were associated with lower home time: Medicare–Medicaid dual eligibility, having more chronic conditions, and specific chronic conditions, for example, dementia. In states with greater regulatory specificity for DCW training and staffing, and lower specificity for licensed staffing, residents had longer adjusted home time. Conclusion/Implications: Home time varied substantially among AL residents depending on resident characteristics and state‐level regulatory specificity. AL residents eligible for Medicare and Medicaid had substantially shorter home time than the Medicare‐only residents, largely due to longer time spent in nursing homes. State AL regulatory specificity for DCWs and licensed staff also impacted AL residents' home time. These findings may guide AL operators and state legislators in efforts to improve this important quality of life metric. [ABSTRACT FROM AUTHOR]

The uniaxial tensile mechanical properties of PVC foam considering the effects of strain rate ( ε ˙ = 0.0007 − 523 s − 1 ) and anisotropy (R = 1 − 1.57) have been investigated by quasi-static and dynamic (Split Hopkinson Tensile Bar, SHTB) tests. Combined high-speed camera system and Digital Image Correlation (DIC) technique, the real-time surface strain field of the specimen during the whole tensile process was obtained. On this basis, the macroscopic response and failure mode of PVC foam were investigated. The failure mechanism of PVC foam under tensile loading was revealed through Scanning Electron Microscope (SEM) images on fracture cross-section of loaded specimen. Finally, based on experimental data, a prediction equation on tensile strength of PVC foam considering the effects of strain rate and loading angle (anisotropy) is proposed. Furthermore, a nonlinear constitutive model is developed to describe the uniaxial tensile mechanical properties of PVC foam. [ABSTRACT FROM AUTHOR]

Panax notoginseng (Sanqi) is a precious traditional Chinese medicine that is commonly cultivated using conventional management methods in agricultural systems in Yunnan, China, where it faces the challenge of continuous cropping obstacles (CCOs). However, the existence of Sanqi CCOs in Sanqi–pine agroforestry systems remains unclear. Here, we applied three types of exogenous organic acids (phthalic acid, palmitic acid, and phthalic + palmitic mixed organic acids) mainly derived from the root exudates of Sanqi to simulate the CCOs; then, we compared the effects on plant growth, soil physicochemical properties, soil microbes, and soil metabolites. We found that organic acid concentrations of >250 mg/kg reduced the fresh weight of Sanqi and the levels of total nitrogen, ammonium nitrogen, soil water content, total phosphorus, and pH value; these concentrations also increased the soil bacterial and fungal α-diversity. The type of organic acid, as opposed to the concentration and duration of treatment, had a vital impact on the structure of the bacterial and fungal community in Sanqi soils. Moreover, the organic acid concentrations of >250 mg/kg also decreased the complexity and stability of the bacterial and fungal network. In addition, the metabolic pathways in the soils under different organic acids included 17 differential metabolites (DMs), which were involved in steroid hormone biosynthesis. The structural equation models (SEMs) revealed that plant growth, soil edaphic factors, and soil metabolites had direct or indirect influences on soil microbial communities under different organic acid conditions. Our results suggest that any phthalic or palmitic acid concentrations at concentrations >250 mg/kg are detrimental to multiple aspects of Sanqi cultivation, confirming the presence of Sanqi CCOs in Sanqi–pine agroforestry systems. [ABSTRACT FROM AUTHOR]

Comprehensive Summary: N6‐methyladenosine (m6A) plays an important role in embryogenesis, nuclear export, transcription splicing, and protein translation control. Herein, we demonstrate a copper‐free click chemistry‐mediated assembly of single quantum dot (QD) nanosensor for accurately monitoring locus‐specific m6A in cancer cells. The m6A‐sensitive endoribonuclease MazF can digest the unmethylated A‐RNA, and the intact m6A‐RNA then hybridizes with DNA probes a and b to produce a sandwich hybrid, initiating the click chemistry to generate probe a–b ligation product via first tandem ligation detection reaction (LDR) cycle. Subsequently, DNA probes c and d can hybridize with the probe a–b ligation product to generate the probe c–d ligation product via second LDR cycle. Both LDR cycles can be repeated through denaturation and annealing reaction to generate abundant biotin‐/fluorophore‐modified probe c–d ligation products that can easily assemble on the QD surface to induce distinct fluorescence resonance energy transfer (FRET) between QD and Cy5. This assay can be homogenously performed without the involvement of copper catalyst, m6A‐specific antibody, radioactive labeling, ligase enzyme, enzymatic reverse transcription, and next‐generation sequencing. Moreover, it can discriminate even 0.01% m6A level in complex samples and accurately measure cellular m6A‐RNA expression, providing a promising avenue for clinical diagnostics and biomedical research. [ABSTRACT FROM AUTHOR]

Background: Inguinal hernia is a common global disease. This study aims to investigate the effectiveness and safety of robot-assisted transabdominal preperitoneal repair (RTAPP) and laparoscopic transabdominal preperitoneal repair (LTAPP) for inguinal hernia. Methods: We conducted a thorough search in Cochrane Library, Embase, and PubMed for relevant clinical studies. After applying inclusion and exclusion criteria, the quality of selected studies was assessed using the Jadad scale for randomized controlled studies and the Newcastle-Ottawa scale for observational studies. Meta-analysis was performed using RevMan 5.3 software. Results: A total of ten studies were included, comprising two randomized controlled studies and eight non-randomized controlled studies. Meta-analysis results revealed no statistically significant differences between the RTAPP group and the LTAPP group regarding hospital stay [MD = 0.21 days, 95% CI (-0.09, 0.51), P = 0.17], incidence of seroma [OR = 0.85, 95% CI(0.45, 1.59), P = 0.61], overall complication rate [OR = 1.22, 95% CI(0.68, 2.18), P = 0.51], readmission rate [OR = 1.31, 95% CI(0.23, 7.47), P = 0.76], and recurrence rate [OR = 0.82, 95% CI(0.22, 3.07), P = 0.77]. However, the RTAPP group had longer operation time compared to the LTAPP group [MD = 14.02 minutes, 95% CI (6.65, 21.39), P = 0.0002], and the cost of the RTAPP procedure was higher than that of the LTAPP procedure [MD = $4.17 thousand, 95% CI (2.59, 5.76), P<0.00001]. Conclusion: RTAPP for inguinal hernia is a safe and feasible approach, however, it is associated with increased operation time and treatment costs. [ABSTRACT FROM AUTHOR]

Background: Paravertebral block has similar effect as epidural anesthesia, and has good somatic and visceral analgesic effect. Paravertebral block is widely used in thoracic surgery, but rarely used in abdominal surgery. Aims: This study aimed to evaluate the analgesic effect of thoracolumbar paravertebral block in patients undergoing robot-assisted laparoscopic nephrectomy. Methods: One hundred patients undergoing elective robot-assisted laparoscopic nephrectomy were included in this study. Based on whether the thoracolumbar paravertebral block was performed, the patients were randomly divided into the thoracolumbar paravertebral block combined with general anesthesia group (TL-PVB group) and simple general anesthesia group (NO-PVB group). Oxycodone was administered for patient-controlled intravenous analgesia (PCIA). The primary outcomes included the amount of remifentanil used during surgery, the amount of oxycodone used in 24 and 48 h after surgery. Secondary outcomes included the changes of heart rate (HR) and mean arterial pressure (MAP), time for the first analgesia administration, visual analog score (VAS) of pain during rest and movement, and time of postoperative recovery. Results: Compared to the NO-PVB group, the amount of remifentanil used during surgery in patients with TL-PVB group was significantly reduced (1.78 ± 0.37 mg vs. 3.09 ± 0.48 mg, p < 0.001), the amount of oxycodone used 24 h after surgery was significantly reduced (8.70 ± 1.70 mg vs. 13.79 ± 2.74 mg, p < 0.001), and the amount of oxycodone used 48 h after surgery was remarkably reduced (21.83 ± 4.28 mg vs. 27.27 ± 4.76 mg, p < 0.001). There were significant differences in the changes of HR and MAP between the two groups (p < 0.001). The first analgesic requirement time of TL-PVB group was significantly longer than that of NO-PVB group (468.56 ± 169.60 min vs. 113.48 ± 37.26 min, p < 0.001). The postoperative VAS during rest and movement of TL-PVB group were significantly lower than that of NO-PVB group (p < 0.01). Compared with NO-PVB group, patients in TL-PVB group needed shorter time to awaken from anesthesia, leave the operating room, anal exhaust, get out of bed, and had shorter length of postoperative hospital stay (p < 0.001). The incidence of postoperative adverse reactions were lower in the TL-PVB group than that in the NO-PVB group (p < 0.05). Conclusions: Ultrasound-guided thoracolumbar paravertebral block significantly reduces intraoperative and postoperative opioid consumption, and provides better analgesia in patients undergoing robot-assisted laparoscopic nephrectomy, which is a recommendable combined anesthesia technique. Trial registration: ChiCTR2200061326, 21/06/2022. [ABSTRACT FROM AUTHOR]