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Age-related decline in visual functions is a prevalent health problem among elderly people, and no effective therapies are available up-to-date. Axon degeneration and myelin loss in optic nerves (ONs) are age-dependent and become evident in middle-aged (13-18 months) and old (20-22 months) mice of either sex compared with adult mice (3-8 months), accompanied by functional deficits. Oligodendrocyte (OL) turnover is actively going on in adult ONs. However, the longitudinal change and functional significance of OL turnover in aging ONs remain largely unknown. Here, using cell-lineage labeling and tracing, we reported that oligodendrogenesis displayed an age-dependent decrease in aging ONs. To understand whether active OL turnover is required for maintaining axons and visual function, we conditionally deleted the transcription factor Olig2 in the oligodendrocyte precursor cells of young mice. Genetically dampening OL turnover by Olig2 ablation resulted in accelerated axon loss and retinal degeneration, and subsequently impaired ON signal transmission, suggesting that OL turnover is an important mechanism to sustain axon survival and visual function. To test whether enhancing oligodendrogenesis can prevent age-related visual deficits, 12-month-old mice were treated with clemastine, a pro-myelination drug, or induced deletion of the muscarinic receptor 1 in oligodendrocyte precursor cells. The clemastine treatment or muscarinic receptor 1 deletion significantly increased new OL generation in the aged ONs and consequently preserved visual function and retinal integrity. Together, our data indicate that dynamic OL turnover in ONs is required for axon survival and visual function, and enhancing new OL generation represents a potential approach to reversing age-related declines of visual function.SIGNIFICANCE STATEMENTOligodendrocyte (OL) turnover has been reported in adult optic nerves (ONs), but the longitudinal change and functional significance of OL turnover during aging remain largely unknown. Using cell-lineage tracing and oligodendroglia-specific manipulation, this study reported that OL generation was active in adult ONs and the efficiency decreased in an age-dependent manner. Genetically dampening OL generation by Olig2 ablation resulted in significant axon loss and retinal degeneration, along with delayed visual signal transmission. Conversely, pro-myelination approaches significantly increased new myelin generation in aging ONs, and consequently preserved retinal integrity and visual function. Our findings indicate that promoting OL generation might be a promising strategy to preserve visual function from age-related decline.

The aim of this study was to explore the potential mechanisms responsible for the different manifestations of bronchiectasis in patients with pulmonary non-tuberculous mycobacteria (pNTM) infection. We found that the necroptosis level increased significantly after NTM infection. Further, the 31 pNTM-infected patients were classified into two subtypes based on necroptosis-related genes (NRGs) by unsupervised cluster analysis. After that, we compared the differences in clinical parameters, immune cell infiltration, and gene expression between the two subtypes. We observed that the high-necroptosis subtype possessed higher CT scores for bronchiectasis extent (P = 0.008) and severity (P = 0.023). And, more neutrophil infiltration in the high-necroptosis subtype was demonstrated both by the CIBERSORT algorithm and by blood neutrophil count (P = 0.001). Next, 688 differentially expressed genes (DEGs) between two subtypes were identified. To explore the portion in DEGs that might contribute to bronchiectasis, we intersected the DEGs with two gene modules. These two gene modules were identified as the most associated with CT scores for bronchiectasis extent and severity by weighted gene co-expression network analysis (WGCNA). Ninety-three intersection genes were obtained. Finally, 7 hub genes including ACSL1, ANXA3, DYSF, HK3, SLC11A1, STX11, and TLR4 were further screened out by machine learning algorithms and protein-protein interaction network analysis. These results suggested that the differential levels of necroptosis in pNTM patients might lead to differential extent and severity of bronchiectasis on radiographic imaging. This process might be associated with neutrophil infiltration and the involvement of seven hub genes.

Avian influenza virus (AIV)is easy to cause diseases in birds and humans.It causes great economic losses to the poultry farms and leads to public health problems. Using vaccines is the main approach to control the prevalence of AIV. In our previously published article, a recombinant Lactobacillus plantarum (L. plantarum) expressing the NP-M2 peptide ofH9N2 AIV was generated, and its protective effect was evaluated in a chicken model. In this study, the protective effect was estimated in mice model. Humoral and cellular immune response parameters were measured using flow cytometry adding to body weight loss, survival rate, virus load, and histopathological changes in the lung. The obtained results elucidated that, the recombinant L. plantarum can promote the activation of dendritic cells (DC), proliferation of T and B cells adding to eliciting protective secretory IgA (sIgA) and humeral IgG level in mice model. Accordingly, it could be used as a patent vaccine to control the AIV infection.

For the grid-connected inverter, grid voltage sag can be a typical phenomenon. From the prospective of safe and robust operation, the inverter should be stable when the grid voltage sag (or large disturbance) occurs. Although the inverter stability in this case has attracted considerable attentions, few studies have given suggestions on the system stability boundary and parameter design. To fill this gap, this paper deeply discusses the large-signal stability of the system under different situations and reveals the quantified impact of the phase-locked loop (PLL) on the large-signal stability of the system based on the fundamental current-source model. The large-signal stability criterion and boundaries for grid voltage sags are established, which are instructive to the design of PLL parameters. Besides, a novel design guideline for the PLL parameters is proposed to ensure the robust operation of the system both under the steady-state and grid voltage sags, as well as to achieve good dynamic performance after large disturbance occurs. The theoretical, simulation and experimental results show that the proposed stability boundary has a certain accuracy and the PLL parameters design guideline can ensure the system stability both under steady-state and grid voltage sag conditions.

Cyber-Physical-Social Systems (CPSS) provide great value to our lives, but they also cause data overload problems. Data-driven personalized recommendation service is one of the most efficient means to solve such problems, which is currently receiving wide attention from research and industrial communities. The most important task of personalized recommender systems is to predict the click-through rate of given items, which is especially true for personalized advertisement recommendation systems. Recently, a number of deep click-through models have been proposed, which obtain low-dimensional dense embedding vectors of features, and then concatenate them together and input into multi-layer perceptron to learn the nonlinear relationship between the features. However, the existing models don't dig deep enough into the user preferences and habits in users behavior history. In this paper, we propose a new model: Self-attention based Deep Neural Network (DeepSA), which addresses this issue by constructing Ad-related graph and training graph embedding vectors to enhance the representation of the advertisement for capturing user interests, and learns the internal correlation between user behaviors via the self-attention mechanism, which better explores interests and preferences hidden in users' historical behaviors. Experiments on two public datasets and an industrial dataset demonstrate the proposed method outperforms the state-of-the-art models

Background: Sepsis is an uncontrolled systemic inflammatory response. Long noncoding RNAs (lncRNAs) are involved in the pathogenesis of sepsis. However, little is known about the roles of lncRNAs in sepsis-induced myocardial dysfunction. Objective: We aimed to determine the regulatory mechanism of lncRNAs in sepsis-induced myocardial dysfunction. Methods: In this study, we analysed the lncRNA and mRNA expression profiles using microarray analysis. Gene Ontology, Kyoto Encyclopedia of Genes and Genomes, protein-protein interaction network, and gene set enrichment analysis were used to evaluate the data. We also constructed coding and noncoding coexpression and competing endogenous RNA networks to investigate the mechanisms. Results: In vivo lipopolysaccharide -induced sepsis rat model was established. A total of 387 lncRNAs and 1,952 mRNAs were identified as significantly changed in the left ventricle. Kyoto Encyclopedia of Genes and Genomes analysis of mRNAs showed that the upregulated genes were mainly enriched in the “complement and coagulation cascade pathway” and “immune-related biological processes” terms. Eight significantly changed lncRNAs detected by RT-qPCR may be responsible for these processes. A competing endogenous RNA network was generated, and the results indicated that eight lncRNAs were related to the “calcium ion binding” process. Conclusion: These results demonstrate that crosstalk between lncRNAs and mRNAs may play important roles in the development of sepsis-induced myocardial dysfunction.

The flexible domain structure and coexistence of R and T nanodomains are responsible for the enhanced strains and strong relaxor.

A slush-like polar structure with 2–4 nm multi-domains and low-angle domain walls, as the origin of the high energy storage performance in Sr0.7Bi0.2TiO3 thin films, is directly visualized and quantitively described.

Background Extracting wholly impacted maxillary 3rd molars faces difficulty due to the narrow surgical field, adjacent teeth resistances and risk of oroantral communication. This study is designed to introduce and evaluate the applicability of a novel method-buccal rotation to extract maxillary 3rd molars. Materials and methods In this cohort study, from October 1st 2020 to September 30th 2021, 72 wholly impacted maxillary 3rd molars were included. Based on the crowns with coronal 1/3, middle 1/3, apical 1/3 of the adjacent teeth roots, teeth were classified into position I, II, III. Based on the angles Results 82.00% of teeth in position I and 50.00% in position II were designed to use traditional method, 83.33% in position III were using the novel method (p p Conclusion Buccal rotation was applicable to extract the deep impacted maxillary third molars with large angles towards the adjacent teeth.

ObjectiveEpithelial-to-mesenchymal transition (EMT) is tightly associated with the invasion and metastasis of pancreatic cancer with rapid progression and poor prognosis. Notably, gene alternative splicing (AS) event plays a critical role in regulating the progression of pancreatic cancer. Therefore, this study aims to identify the EMT-related AS event in pancreatic cancer.MethodsThe EMT-related gene sets, transcriptomes, and matched clinical data were obtained from the MSigDB, The Cancer Genome Atlas (TCGA), International Cancer Genome Consortium (ICGC), and Gene Expression Omnibus (GEO) databases. Key gene AS events associated with liver metastasis were identified by prognostic analysis, gene set variation analysis (GSVA), and correlation analysis in pancreatic cancer. The cell line and organoid model was constructed to evaluate these key gene AS events in regulating pancreatic cancer in vitro. Furthermore, we established an EMT-related gene set consisting of 13 genes by prognostic analysis, the role of which was validated in two other databases. Finally, the human pancreatic cancer tissue and organoid model was used to evaluate the correlation between the enrichment of this gene set and liver metastasis.ResultsPrognostic analysis and correlation analysis revealed that eight AS events were closely associated with the prognosis of pancreatic cancer. Furthermore, the expression of TMC7 and CHECK1 AS events was increased in the metastatic lesions of the human tissue and organoid model. Additionally, the knockdown of exon 17 of TMC7 significantly inhibited the proliferation, invasion, and migration of pancreatic cancer cells in 2D and 3D cell experiments. Finally, the expression of exon 17 of TMC17 exhibited a significant correlation with the poor prognosis in pancreatic ductal adenocarcinoma (PDAC).ConclusionThe AS events of TMC7 and CHECK1 were associated with liver metastasis in pancreatic cancer. Moreover, exon 17 of TMC7 could be a potential therapeutic target in pancreatic cancer.

Supplemental material, sj-docx-1-cpt-10.1177_10742484231181846 for The Prognostic Value of the Triglyceride Glucose Index in Patients With Acute Myocardial Infarction by Qian Hao, Zhao Yuanyuan and Chen Lijuan in Journal of Cardiovascular Pharmacology and Therapeutics

Supplemental material, sj-docx-1-cpt-10.1177_10742484231181846 for The Prognostic Value of the Triglyceride Glucose Index in Patients With Acute Myocardial Infarction by Qian Hao, Zhao Yuanyuan and Chen Lijuan in Journal of Cardiovascular Pharmacology and Therapeutics

Neurodegenerative diseases, characterized by progressive neural loss, have been some of the most challenging medical problems in aging societies. Treatment strategies such as symptom management have little impact on disease progression, while intervention with specific disease mechanisms may only slow down disease progression. One therapeutic strategy that has the potential to reverse the disease phenotype is to replenish neurons and rebuild the pathway lost to degeneration. Although it is generally believed that the central nervous system has lost the capability to regenerate, increasing evidence indicates that the brain is more plastic than previously thought, containing perhaps the biggest repertoire of cells with latent neurogenic programs in the body. This review focuses on key advances in generating new neurons through in situ neuronal reprogramming, which is tied to fundamental questions regarding adult neurogenesis, cell source, and mechanisms for neuronal reprogramming, as well as the ability of new neurons to integrate into the existing circuitry.

In this work, we first derive the corrections to the instanton configuration of the flavored gauge field in the D4-D8 model with generic flavor numbers. Then, as the instanton configuration on the D8-branes represents equivalently baryon in this model, keeping our corrections in hand, we systemically study the spectrum of baryon, heavy-light baryon or heavy-light meson and find it is possible to fit the experimental data with the meson data in this model. Besides, we briefly outline how to include the interaction of glueball and heavy-light meson or baryon with our corrections, evaluate numerically the decay rate of the heavy-light meson or baryonic matter involving glueball. Since it is possible to fit all the spectra with same choice of the parameters to the experimental data, we believe our corrections improve the framework of D4-D8 model and the corrected instanton configuration is also useful to investigate other properties of baryon in holography., 34 pages, 2 figures

Müller cell is the most abundant glial cell in mammalian retina, supporting the functions of photoreceptors and other retinal neurons via maintaining environmental homeostasis. In response to injury and/or neuronal degeneration, Müller cells undergo morphological and functional alternations, known as reactive gliosis documented in multiple retinal diseases, including age-related macular degeneration (AMD), retinitis pigmentosa, diabetic retinopathy, and traumatic retinal detachment. But the functional consequences of Müller glia cell reactivation or even the regulatory networks of the retinal gliosis are still controversial. In this study, we reveal different subpopulations of Müller cells with distinct metabolic-mitochondrial signatures by integrating single cell transcriptomic data from Early AMD patients and healthy donors. Our results show that a portion of Müller cells exhibits low mitochondrial DNA (mtDNA) expressions, reduced protein synthesis, impaired homeostatic regulation, decreased proliferative ability but enhanced proangiogenic function. Interestingly, the major alternation of Müller cells in Early AMD retina is the change of subpopulation abundance, rather than generation of new subcluster. Transcription factor enrichment analysis further highlights the key regulators of metabolic-mitochondrial states of Müller glias in Early AMD patients especially. Our study demonstrates new characteristics of retinal gliosis associated with Early AMD and suggests the possibility to prevent degeneration by intervening mitochondrial functions of Müller cells.

The discovery of new highly active molecules from natural products is a common method to create new pesticides. Celangulin V targeting Mythimna separate (M. separate) midgut V-ATPase H subunit, has received considerable attention for its excellent insecticidal activity and unique mechanism of action. Therefore, combined with our preliminary work, thirty-seven sulfonamide derivatives bearing propargyloxy or pyridine groups were systematically synthesized to search for insecticidal candidate compounds with low cost and high efficiency on the H subunit of V-ATPase. Bioactive results showed that compounds A2-A4 and A6-A7 exhibited a better bioactivity with median effective concentration (LC50) values (2.78, 3.11, 3.34, 3.54 and 2.48 mg/mL, respectively) against third-instar larvae of M. separate than Celangulin V (LC50 = 18.1 mg/mL). Additionally, molecular docking experiments indicated that these molecules may act on the H subunit of V-ATPase. Based on the above results, these compounds provide new ideas for the discovery of insecticides.

LaAlO3-modified 0.78Bi0.5Na0.5TiO3–0.22Bi0.5K0.5TiO3 (BNKT–xLA, 0 ≤ x ≤ 0.03) piezoelectric ceramics for actuator have been prepared and investigated in this study. With increase in LA substitution, the average long-range crystal structure of the materials gradually develops from rhombohedral–tetragonal mixed ferroelectric phases to a single pseudocubic symmetry. Electrical measurements indicate that the dominant ferroelectric order in unmodified BNKT is severely destroyed and transforms into an ergodic relaxor state with the formation of nanoscale domains, which is further verified by high-resolution transmission electron microscope images. Meanwhile, a great enhanced electric field-induced strain response of 0.36% under 60 kV/cm with a relatively low strain hysteresis is realized at the critical composition x = 0.01. By analyzing the origin of large strain, we believe that the reversible transition of a relaxor state characterized by multiple coexistent nano-domains into an electric field-induced long-range ferroelectric state contributes most to the attainment of these characteristics.

A metal-free, photoredox-catalyzed three-component cyanoalkylfluorination of alkenes under mild and redox-neutral conditions is reported. This protocol features use of readily available alkenes, oxime esters, and cost-effective nucleophilic fluoride reagents, giving diverse cyanoalkylfluorinated products with generally good yields. Excellent functional group tolerance and mild reaction conditions also render this protocol suitable for cyanoalkylfluorination of pharmaceutically relevant molecule-derived alkene.

The construction of carbon-heteroatom bonds is one of the most active areas of research in organic chemistry because the function of organic molecules is often derived from the presence of heteroatoms. Although considerable advances have recently been achieved in radical-involved catalytic asymmetric C-N bond formation, there has been little progress in the corresponding C-O bond-forming processes. Here, we describe a photoinduced copper-catalyzed cross-coupling of readily available oxime esters and 1,3-dienes to generate diversely substituted allylic esters with high regio- and enantioselectivity (>75 examples; up to 95% ee). The reaction proceeds at room temperature under excitation by purple light-emitting diodes (LEDs) and features the use of a single, earth-abundant copper-based chiral catalyst as both the photoredox catalyst for radical generation and the source of asymmetric induction in C-O coupling. Combined experimental and density functional theory (DFT) computational studies suggest the formation of π-allylcopper complexes from redox-active oxime esters as bifunctional reagents and 1,3-dienes through a radical-polar crossover process.

To investigate the clinical efficacy of miniscrew in controlling the roller coaster effect in long-distance space closure with clear aligner.Sixteen adult patients with bimaxillary protrusion were selected. All cases were treated with clear aligner and their four first premolars were extracted. G6 was designed in all cases. In the experimental group, four miniscrews were inserted at the beginning of treatment to control the teeth in three dimensions; while in the control group, the miniscrews were not applied until obvious roller coaster effect appeared. Paired t test was used to analyze the data with Graphpad Prism 6.0 software package.All the extraction space was closed successfully and the lateral profile was improved significantly. The torque of the upper incisor was under well control and no roller coaster effect happened in the experimental group; while in the control group, the lingual inclination of the upper incisors and open bite of the posterior teeth developed(P＜0.05). After the miniscrews intrusion of the upper anterior teeth, the occlusion relationship improved significantly.Miniscrews effectively prevents and eliminates the roller coaster effect in the process of long-distance space closure with clear aligner.

Traditional drug discovery is very laborious, expensive, and time-consuming, due to the huge combinatorial complexity of the discrete molecular search space. Researchers have turned to machine learning methods for help to tackle this difficult problem. However, most existing methods are either virtual screening on the available database of compounds by protein–ligand affinity prediction, or unconditional molecular generation, which does not take into account the information of the protein target. In this paper, we propose a protein target-oriented de novo drug design method, called AlphaDrug. Our method is able to automatically generate molecular drug candidates in an autoregressive way, and the drug candidates can dock into the given target protein well. To fulfill this goal, we devise a modified transformer network for the joint embedding of protein target and the molecule, and a Monte Carlo tree search (MCTS) algorithm for the conditional molecular generation. In the transformer variant, we impose a hierarchy of skip connections from protein encoder to molecule decoder for efficient feature transfer. The transformer variant computes the probabilities of next atoms based on the protein target and the molecule intermediate. We use the probabilities to guide the look-ahead search by MCTS to enhance or correct the next-atom selection. Moreover, MCTS is also guided by a value function implemented by a docking program, such that the paths with many low docking values are seldom chosen. Experiments on diverse protein targets demonstrate the effectiveness of our methods, indicating that AlphaDrug is a potentially promising solution to target-specific de novo drug design.

Considering the full utilization of energy and pursuing thin-film capacitors with high energy-storage density, the grain size engineering is used to adjust domain size, in order to enhance the energy-storage efficiency and energy-storage density of thin-film capacitors. Therefore, in this work, lead-free Bi0.5Na0.5TiO3 (BNT) films with designed grain size were grown on Nb-doped SrTiO3 (Nb:STO) (001) single-crystalline substrates by modulating the mineralizer concentrations via hydrothermal synthesis. The nature of epitaxial growth near the single-crystalline substrates was proved by transmission electron microscopy (TEM). In addition, the phenomenon of the decrease of grain size and the increase of [100] in-plane orientation with the decline of mineralizer concentrations were clarified by grazing-angle incidence X-ray diffraction (GIXRD) and field emission scanning electron microscope (FESEM). By reducing the grain size, an ultrahigh energy-storage efficiency (η) of 75.56% and superior the recoverable energy-storage density (Wrec) of 16.47 J/cm3 were acquired in pure Bi0.5Na0.5TiO3 films. Furthermore, the fine-grained film exhibits weak dependence on the frequency and has excellent anti-fatigue property. Therefore, hydrothermal synthesis is an efficient, inexpensive, and easy method, which is the most promising way to adjust grain size and energy storage of the film capacitor.

Pterocarya stenoptera is a tree species that occurs along rivers and has high tolerance to waterlogging. Identification of waterlogging response genes in the aboveground part of P. stenoptera will increase understanding of tolerance mechanisms under root waterlogging conditions. In this study, we employed four physiological indicators and comparative transcriptome sequencing to investigate the waterlogging tolerance mechanism in P. stenoptera. The physiological results showed that the aboveground part of P. stenoptera was not obviously affected by waterlogging. P. stenoptera enhanced waterlogging tolerance by increasing the synthesis of alpha-Linolenic acids and flavonoids and activating the jasmonic acid, ethylene, and auxin signaling pathways. Our results confirmed our hypothesis that P. stenoptera, a species that is widely distributed along rivers, has evolved a range of mechanisms in response to waterlogging. Our research will provide new insights for understanding the tolerance mechanism of species to waterlogging.

For the simplified model of the internal cooling passage in the turbine blade of an aero-engine, the present study applies a newly developed turbulence modeling method, very-large eddy simulation (VLES), for analyzing rotational effects on the characteristics of complex turbulent flow. For comparison, not only are the delayed detached eddy simulation (DDES) method (recognized as one of the most popular hybrid Reynolds-averaged Navier-Stokes-large eddy simulation (RANS-LES) methods) and the LES method used with the same numerical setup, but also three RANS turbulence models, including the k-ω shear stress transport (SST), standard k-e, and Reynolds stress models, are applied to analyze the flow structure in the ribbed channel (whether rotating or stationary). Complex turbulent flows in a square ribbed channel at high Reynolds number of 100 000 in the stationary state and different rotational numbers (Ro) between 0.1 and 0.4 are simulated and analyzed in detail. The comparisons show that when compared with the experimental data the VLES method works best in both the stationary and rotating states. It can capture unsteady flow characteristics such as wall shear layer separation and the vortex structure resulting from the rib disturbance. The DDES method can only capture the larger-scale vortex structures, and its predictions of the time-averaged velocity differ considerably from experiments, especially in the stationary state. With a relatively coarse grid, satisfactory prediction cannot be achieved in either rotating or stationary state by the LES method with wall-adapting local eddy-viscosity (WALE) and dynamic Smagorinsky models. The three RANS models perform poorly in both the stationary and rotating states. The results demonstrate the advantages of the VLES method in analyzing the unsteady flow characteristics in the ribbed channel at high Reynolds numbers for both stationary and rotating conditions. On that basis, the study uses the VLES method to analyze the flow evolution under different rotational numbers, and the rotational effects on the fluid mechanisms are analyzed.

At present, cardiovascular disease is one of the important factors of human death, and there are many kinds of proteins involved. Sirtuins family proteins are involved in various physiological and pathological activities of the human body. Among them, there are more and more studies on the relationship between sirtuin2 (SIRT2) protein and cardiovascular diseases. SIRT2 can effectively inhibit pathological cardiac hypertrophy. The effect of SIRT2 on ischaemia‐reperfusion injury has different effects under different conditions. SIRT2 can reduce the level of reactive oxygen species (ROS), which may help to reduce the severity of diabetic cardiomyopathy. SIRT2 can affect a variety of cardiovascular diseases, energy metabolism and the ageing of cardiomyocytes, thereby affecting heart failure. SIRT2 also plays an important role in vascular disease. For endothelial cell damage used by oxidative stress, the role of SIRT2 is bidirectional, which is related to the degree of oxidative stress stimulation. When the degree of stimulation is small, SIRT2 plays a protective role, and when the degree of stimulation increases to a certain level, SIRT2 plays a negative role. In addition, SIRT2 is also involved in the remodelling of blood vessels and the repair of skin damage.

Real-world data is often organized at different levels of granularity with specified concept hierarchies. Multi-scale information tables represent such a type of data set in a hierarchical form. In this paper, we aim to focus on rule extraction in multi-scale decision tables. Unlike the case of attribute reduct, we consider a type of generalization reduct in multi-scale decision tables. This approach requires both the least number of attributes and the coarsest level of scales according to different reduct standards. The present study is conducted at the three different levels, that is, generalization reducts for objects, decision rules and multi-scale decision tables, respectively. The construction of granularity trees and the selection of cuts play a crucial role. At each level, we present various types of generalization reducts according to different requirements. The relationship between them is also investigated. Moreover, a comparative study between generalization reducts and attribute reducts is also performed. Based on the notion of generalization reducts, the procedure to extract the set of optimal decision rule in multi-scale decision tables is provided and an illustrative example is also given to show the proposed approach.

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Background Inflammation plays a critical role in acute myocardial infarction (AMI). Recent studies have shown the value of hematologic indicators in MI risk stratification and prognostic assessment. However, the association between lymphocyte-to-monocyte ratio (LMR) and the long-term mortality of critically ill MI patients remains unclear. Methods Clinical data were extracted from the Medical Information Mart for Intensive Care III database. Patients diagnosed with AMI on admission in the intensive care units were include. The optimal cutoff value of LMR was determined by X-tile software. The Cox proportional hazard model was applied for the identification of independent prognostic factors of 1-year mortality and survival curves were estimated using the Kaplan–Meier method. In order to reduce selection bias, a 1:1 propensity score matching (PSM) method was performed. Results A total of 1517 AMI patients were included in this study. The cutoff value for 1-year mortality of LMR determined by X-Tile software was 3.00. A total of 534 pairs of patients were matched after PSM. Multivariate analysis (HR = 1.369, 95%CI 1.110–1.687, P = 0.003) and PSM subgroups (HR = 1.299, 95%CI 1.032–1.634, P = 0.026) showed that 1-year mortality was significantly higher in patients with LMR P P = 0.041). Conclusion In this retrospective cohort analysis, we demonstrated that a low admission LMR (