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In order to enhance the generalization ability of the network and improve the precision of the part segmentation, a point cloud part segmentation method which takes into account the optimal allocation and the optimal mask is proposed. Firstly, the optimal allocation between two point clouds is defined according to earth mover's distance. Then the farthest point sampling is used to group the point cloud, and the saliency of each point in the group is calculated. Finally, a new mixed sample is generated by replacing a partial subset of another point cloud sample with a local neighborhood in one point cloud sample. In this paper, the ShapeNet dataset was verified and the enhanced data was transferred to PointNet, Pointnet ++ and DGCNN models using this method. The mIoU increased from 83.7%, 85.1% and 85.1% to 84.6%, 85.9% and 85.7%, respectively. Effectively improve the effect of part segmentation.

The development of hydrogels capable of emitting multicolor fluorescence presents a promising avenue for addressing concerns related to information leakage and distortion of sensitive data. The integration of multifactor-induced tunable fluorescence with a unique upper critical solution temperature (UCST) behavior in hydrogels significantly contributes to the development of multi-dimensional and multi-level information storage materials that can dynamically display information as well as offer a high level of security and protection for information. However, the fusion of these advantageous properties into hydrogels intended for information storage and display remains a considerable challenge. In this context, we introduce a novel three-dimensional (3D) fluorescent code-producing hydrogel array fabricated via vat photopolymerization (VP) 3D printing, a technique offers a sustainable and efficient approach. This array unites the desired properties, capable of sequentially revealing concealed information through two distinct steps: (i) a heat-induced phase transition, and (ii) multicolor fluorescence triggered by ultraviolet (UV)/temperature exposure under specific conditions (i.e., certain UV irradiation duration, heating time, and wavelength). The reversible transparency and reprogrammable fluorescence emission properties of these hydrogels are expected to significantly enhance the processes of information encryption and anti-counterfeiting. This advancement could potentially revolutionize the field of information security.

Current underground radio frequency identification (RFID) tags have not been able to meet the detection needs of pipeline burial toward deep areas. To effectively address this issue, in this work, a novel lightweight segmented RFID tag coil antenna with a combined ferrite core was presented. Based on the magnetic flux distributions of a traditional single large-sized ferrite core, multiple small ferrite cores were combined to replace the original single large core, and the arrangement and number of small ferrite cores were determined. Then, by analyzing the relationship between the coil winding mode and the antenna-distributed capacitance, a segmented winding skeleton was designed. To verify the proposed design, three different types of ferrite-core antennas were fabricated and measured. From the experimental results, the clear superiority of the proposed tag antenna, in terms of mass and working distance compared to the current traditional ferrite-core tag antenna, was demonstrated.

The stability issue of Sn-based perovskite solar cells (PSCs) is expected to be resolved by involving a two-dimensional (2D) layered structure. However, Sn-based 2D PSCs, especially Dion–Jacobson (DJ)-phase ones with potentially good stability, have rarely been reported. Herein, superior DJ-phase Sn 2D perovskites with 3-aminobenzylamine (3ABA2+) or 4-aminobenzylamine (4ABA2+) π-conjugated short-chain ligands are reported to fabricate efficient 2D lead-free PSCs. Notably, the high dipole moment of the 3ABAI2organic spacer is approved to possess faster charge transfer for forming (3ABA)FA4Sn5I162D perovskite with an extremely low exciton binding energy (only 84 meV). In combination with a diacetate partial substitution and methylamine iodide/bromide (MAI/MABr) post-treatment strategy to delay crystallization and improve compactness and coverage of the perovskite film, a record power conversion efficiency (PCE) of 6.81% and stability of 840 h (less than 5% degradation in a N2atmosphere for unencapsulated devices) are acquired in eventual (3ABA)FA4Sn5I162D PSCs, which are among the highest PCE and the longest stability of Sn-based 2D PSCs reported to date. Our work provides a prospective molecule design and film preparation strategy of 2D Sn perovskites toward nontoxic high-performance tin-based PSCs, which pushes the almost stagnant research forward.

The limited specific surface area (SSA), long preparation period, and high cost are significant challenges for carbon xerogels (CXs). To overcome these limitations, we propose an approach to prepare tannin-resorcinol-formaldehyde-based CXs through template-catalyzed in situpolymerization. ZnCl2acts as a catalyst and significantly accelerates the polymerization reaction through the coordination of Zn2+to the carbonyl group in formaldehyde, while atmospheric drying instead of special drying and without solvent exchange reduces the preparation period to 24 h. In addition, ZnCl2acts as an activator for the formation of many pores. Plant-derived tannins not only reduce the preparation cost but also regulate the pore structure. The resulted CXs with hierarchical porous structures show an optimal SSA of 1308 m2/g, high adsorption capabilities (for cationic, nitrosoaniline dyes, metal, and nonmetallic ions, especially for methylene blue with 454.93 mg/g), low shrinkage down to 10%, and reusability with 92.9% retention after 5 cycles. This work provides a promising and cost-effective method for the large-scale preparation of porous carbon materials with large SSA, offering potential applications in adsorption, energy storage, and catalysis.

KRAS-TP53co-mutation is strongly associated with poor prognosis and high malignancy in gastrointestinal cancers. Therefore, a novel approach to oncotherapy may lie in combination therapy targeting both KRASand TP53. Herein, we present a novel self-assembled nanoparticle (HA-TPP/A) that are functionalized nano-carrier hyaluronic acid (HA)-TPP conjugate (HA-TPP) to degrade mutant p53 proteins (mutp53) and co-deliver AMG510 for treating KRAS-TP53co-alteration of gastrointestinal cancers by inhibiting the mutant KRAS and mutp53 signaling pathways. The HA-TPP/A nanoparticles led to ubiquitination-dependent proteasomal degradation of mutp53 by targeting damage to mitochondria. Furthermore, these nanoparticles abrogated the gain-of-function (GOF) phenotypes of mutp53 and increased sensitivity to AMG510-induced cell killing, thereby reducing cell proliferation and migration in gastrointestinal cancer with KRAS-TP53co-mutation. The co-loaded HA-TPP/A nanoparticles demonstrated remarkable therapeutic efficacy in a tumor-bearing mouse model, particularly in KRAS-TP53double mutant expressing cancer cells, compared with single drug and combined free drug groups. Notably, HA-TPP/A is the first reported nanoparticle with an ability to co-target KRAS-TP53, providing a promising approach for therapy in highly malignant gastrointestinal tumors and potentially expanding clinical indications for AMG510 targeted therapies in gastrointestinal tumors.

Firms increasingly rely on the third-party platforms to manage customer complaints. In this article, we explore the impact of complaints on firms’ idiosyncratic risk by considering both the valence and channel characteristics of complaints. Through textual analysis, complaints are categorized into four types based on the intersection of two dimensions: the valence (mild or severe) of the complaint and the channel (firm or platform) through which the complaint is lodged. Empirical analysis is conducted to test the hypotheses. The results reveal that firms’ idiosyncratic risk rises after severe complaints but decreases after mild complaints. Moreover, while mild platform-channel complaints increase risk, severe platform-channel complaints reduce risk. This study highlights the disparate impacts of the channel and valence of complaints on manufacturing and service firms. This research contributes to the literature on online complaints and the marketing–finance interface, offering valuable insights for firms seeking to mitigate their idiosyncratic risk through complaint management strategies.

Owing to their brittleness and heterogeneity, achieving carbon fiber-reinforced silicon carbide ceramic (Cf/SiC) composites with ideal dimensional and shape accuracy is difficult. In this study, unidirectional Cfmaterials were subjected to orthogonal grinding experiments using different fiber orientations. Through a combined analysis of the surface morphology and grinding force after processing, the mechanism underlying the effect of the fiber orientation on the surface morphology of the material was explained. The surface roughness of the material was less affected by the process parameters and fluctuated around the fiber radius scale; the average surface roughness (Ra) in the direction of scratching parallel (SA) and perpendicular (SB) to the fiber direction was 4.21‒5.00 μm and 4.42‒5.26 μm, respectively; the material was mainly removed via the brittle removal mechanism; and the main defects of the fiber in the SA direction were tensile fracture and extrusion fracture; the main defects of the fiber in the SB direction were bending fracture, shear fracture, and fiber debonding. The grinding parameters influenced the grinding force in the order: depth of cut > feed rate > wheel speed. The grinding force increased with an increase in the feed rate or depth of cut and decreased with an increase in the wheel speed. Moreover, increasing the depth of cut was more effective in decreasing the grinding force and improving the material removal efficiency than adjusting the rotational speed of the workpiece and the rotational speed of the grinding wheel. The specific grinding energy decreased with an increase in the feed rate or depth of cut, and increased with an increase in the grinding wheel speed.

Rapidly changing market demand has seen more and more companies pay attention to external R&D, to make full use of external resources, improve competitiveness, and promote innovation. The suitability of external R&D suppliers directly impacts the success of R&D. However, existing research in this topic has limitations. First, few existing studies have examined the evaluation and selection of external R&D suppliers, quantitatively. Second, there are few studies on the evaluation of effectiveness of R&D suppliers from the perspective of customer demand. Third, the evaluation of prototypes involves heterogeneous data for different technical criteria. As yet, there is no specific suitable model. To bridge abovementioned gaps, this article proposes a comprehensive three-stage integrated funnel model for external R&D supplier evaluation and selection. Specifically, it evaluates the effectiveness of suppliers from the perspective of customer demand and improves the nonradial superefficiency Pythagorean fuzzy DEA methodology. In addition, it proposes a novel fuzzy MA-VIKOR submodel based on heterogeneous data, which can evaluate suppliers from two perspectives: group utility and individual regret, while avoiding the potential problem of equal ranking. Finally, the effectiveness of the proposed model is illustrated by an external R&D supplier selection case of Company J, an international communication equipment company.

In this article, we propose an RFID-based simultaneous localization and mapping (RF-SLAM) method that allows us, for the first time, to estimate the robot's position and the tags’ 3D position in the warehouse environment simultaneously without any reference tags and external sensors, using only COTS RFID device. RF-SLAM is designed to transform the RFID measurement into the relative tag position constraint and use a corresponding graph based model to solve the SLAM problem. Specifically, a multiantenna-based relative localization method using phase measurement and odometer data in a short time is proposed as the front end. The back end is a novel graph model based on the relative tags position constraint and odometer constraint. Experiments in different types of warehouses show the localization accuracy of robot and tags’ 3D position is about 5 cm and 10 cm, respectively. The experimental results in a more challenging and actual environment are still competitive.

C24H15NO2S2, monoclinic, P21/c(no. 14), a= 20.8250(11) Å, b= 5.3649(3) Å, c= 18.8787(11) Å, β= 106.278(2)°, V= 2024.7(2) Å3, Z= 4, Rgt(F) = 0.0439, wRref(F2) = 0.1015, T= 273 K.

Ultrasonography is the most widely used technique to diagnose echinococcosis; however, challenges in using this technique and the demand on medical resources, especially in low-income or remote areas, can delay diagnosis. We aimed to develop a deep convolutional neural network (DCNN) model based on ultrasonography to identify echinococcosis and its types, especially alveolar echinococcosis.

Hole transport materials (HTMs) with appropriate energy levels and comprehensive passivation effects help to obtain highly efficient and stable perovskite solar cells (PSCs). Electron-deficient character-induced HTMs can generate varying energy level alignments near the HTM/perovskite interface. Herein, we report the synthesis and investigation of two new dipolar HTMs, WWC103and WWC105, based on 2-(1,1-dicyanomethylene)rhodamine and 4-cynophenylacetonitrile acceptors, enabling high-efficiency mixed-cation mixed-halide perovskite solar cells. Apart from having different acceptors, these HTMs are built on a heterocyclic frame, which can provide passivation effects and improve the morphology of the perovskite layer. As a result, these dopant-free HTM-based solar cells show a high open-circuit voltage and good power conversion efficiency. Among both, the solar cell based on the HTM with 2-(1,1-dicyanomethylene)rhodamine exhibits a high open-circuit voltage of 1.09 V with a champion power conversion efficiency of over 20.51%. The improved performance of WWC103over WWC105(19.74%) is attributed to the new acceptor, which, in addition to providing good energy-level alignments and hole mobility, also holds the ability to passivate the defects. The findings suggest a new acceptor unit for constructing dopant-free HTMs for efficient PSCs.

The unprecedented outbreak of COVID-19 has left many multinational enterprises facing extremely severe supply disruptions. Besides considering triple-bottom-line requirements, managers now also have to consider supply disruption due to the pandemic more seriously. However, existing research does not take these two key objectives into account simultaneously. To bridge this research gap, based on the characteristics of COVID-19 and similar global emergency events, this article proposes a model that aims to solve the problem of sustainable supplier selection and order allocation considering supply disruption in the COVID-19 era. It does so by using a multi-stage multi-objective optimization model applied to the different stages of development and spread of the pandemic. Then, a novel nRa-NSGA-II algorithm is proposed to solve the high-dimensional multi-objective optimization model. The applicability and effectiveness of the proposed model is illustrated in a well-known multinational producer of shortwave therapeutic instruments.JEL Classification:M11

The deterioration of a concrete deck damaged by repeated traffic loads could directly affect its performance. Two full-scale specimens modified from a precast, prestressed concrete (PC) deck slab on a 12.65-m-wide composite bridge with twin I-girders spaced at 7.05 m were tested to study the degradation of mechanical performance of the slabs under fatigue loading. The depth of the slabs was 30 cm at the midspan and 40 cm at the two supports. One specimen was 3.0 m wide and conducted a three-stage fatigue loading before the static destructive loading, the other was 1.5 m wide and performed a static load test to failure only. The ultimate strength of specimens was obtained, and the variation of deflection, reinforcing strain, and cracks were discussed. The test results showed that the failure mode of the PC slabs was flexure subjected to static load. Fatigue loading significantly degenerated the stiffness of the slab, and the maximum stiffness reduction was about 35.2 %. The distribution scale of cracks was expanded about twice as much at the same load level under the fatigue loading. It could be deduced that the fatigue loading could enlarge the crack width, by comparing the measured results of concrete crack widths of the two specimens, however, the design provisions did not take this into account. A comparison between the transformed flexural capacity of the two specimens showed the residual flexural capacity was reduced by 7.8 %. Moreover, an analysis model was developed to predict the residual flexural capacity of PC slabs.

Objective: To investigate whether human short interspersed nuclear element antisense RNA (Alu antisense RNA; Alu asRNA) could delay human fibroblast senescence and explore the underlying mechanisms. Methods: We transfected Alu asRNA into senescent human fibroblasts and used cell counting kit-8 (CCK-8), reactive oxygen species (ROS), and senescence-associated beta-galactosidase (SA-β-gal) staining methods to analyze the anti-aging effects of Alu asRNA on the fibroblasts. We also used an RNA-sequencing (RNA-seq) method to investigate the Alu asRNA-specific mechanisms of anti-aging. We examined the effects of KIF15 on the anti-aging role induced by Alu asRNA. We also investigated the mechanisms underlying a KIF15-induced proliferation of senescent human fibroblasts. Results: The CCK-8, ROS and SA-β-gal results showed that Alu asRNA could delay fibroblast aging. RNA-seq showed 183 differentially expressed genes (DEGs) in Alu asRNA transfected fibroblasts compared with fibroblasts transfected with the calcium phosphate transfection (CPT) reagent. The KEGG analysis showed that the cell cycle pathway was significantly enriched in the DEGs in fibroblasts transfected with Alu asRNA compared with fibroblasts transfected with the CPT reagent. Notably, Alu asRNA promoted the KIF15 expression and activated the MEK-ERK signaling pathway. Conclusion: Our results suggest that Alu asRNA could promote senescent fibroblast proliferation via activation of the KIF15-mediated MEK-ERK signaling pathway.

The 2019 Refinement to the 2006 IPCC Guidelines for National Greenhouse Gas Inventories added the method of assimilating atmospheric CO2concentrations to invert carbon sources and sinks; however, many global carbon inversion models are not publicly available. In addition, our regional assimilation inversion system, CCMVS-R (China Carbon Monitoring, Verification and Supporting for Regional), needs a global carbon inversion model with higher assimilation efficiency to provide boundary conditions. Here, an inversion model based on the global atmospheric chemistry model GEOS-Chem and a more accurate and easier-to-implement ensemble square root Kalman filter (EnSRF) algorithm is constructed and used to infer global and China's carbon fluxes in 2019. Atmospheric CO2concentrations from ObsPack sites and five additional CO2observational sites from China's Greenhouse Gas Observation Network (CGHGNET) were used for data assimilation to improve the estimate. The inverted annual global terrestrial and oceanic carbon uptake is 2.12 and 2.53 Pg C per year, respectively, accounting for 21.1% and 25.1% of global fossil fuel CO2emissions. The remaining 5.41 Pg C per year in the atmosphere is consistent with the global atmospheric CO2growth rates of 5.44 Pg C per year reported by the National Oceanic and Atmospheric Administration (NOAA), showing that the inversion model can provide a reasonable estimate of global-scale natural carbon sinks. The inverted terrestrial carbon sink of China is 0.37 Pg C per year, accounting for approximately 13% of China's fossil CO2emissions.

The dynamic force load in grinding process is considered as a crucial factor affecting the quality of parts, and a better understanding of the mechanism of force generation is conducive to revealing the evolution of material microstructure more precisely. In this study, an iterative blending integrating grinding force model that comprehensively considers the impact of grain size and dislocation density evolution of the material is proposed. According to the grinding kinematics, the interaction of grit-workpiece is divided into rubbing, plowing, and chip formation stages in each grinding zone. On this basis, the evolution of material microstructure in the current chip formation stage will affect the rubbing force in the next grinding arc through flow stresses, which in turn will influence the total grinding force. Therefore, the flow stress models in rubbing and chip formation stages are firstly established, and then the dislocation density prediction model is established experimentally based on the characteristics of grain size. The effects of the evolution of grain size and dislocation density on the grinding forces during the grinding process are studied by means of iterative cycles. The results indicate that the implementation of an iterative blending scheme is instrumental in obtaining a higher accurate prediction of the grinding force and a deeper insight of the influence mechanisms of materials microstructure on grinding process.

We present a novel graph convolutional method called star topology convolution (STC). This method makes graph convolution more similar to conventional convolutional neural networks (CNNs) in Euclidean feature spaces. STC learns subgraphs which have a star topology rather than learning a fixed graph like most spectral methods. Due to the properties of a star topology, STC is graph-scale free (without a fixed graph size constraint). It has fewer parameters in its convolutional filter and is inductive, so it is more flexible and can be applied to large and evolving graphs. The convolutional filter is learnable and localized, similar to CNNs in Euclidean feature spaces, and can share weights across graphs. To test the method, STC was compared with the state-of-the-art graph convolutional methods in a supervised learning setting on nine node properties prediction benchmark datasets: Cora, Citeseer, Pubmed, PPI, Arxiv, MAG, ACM, DBLP, and IMDB. The experimental results showed that STC achieved the state-of-the-art performance on all these datasets and maintained good robustness. In an essential protein identification task, STC outperformed the state-of-the-art essential protein identification methods. An application of using pretrained STC as the embedding for feature extraction of some downstream classification tasks was introduced. The experimental results showed that STC can share weights across different graphs and be used as the embedding to improve the performance of downstream tasks.

Surface topography is an important factor in evaluating the surface integrity and service performance of milling parts. The dynamic characteristics of the manufacturing system and machining process parameters significantly influence the machining precision and surface quality of the parts, and the vibration control method is applied in high-precision milling to improve the machine quality. In this study, a novel surface topography model based on the dynamic characteristics of the process system, properties of the cutting process, and active vibration control system is theoretically developed and experimentally verified. The dynamic characteristics of the process system consist of the vibration of the machine tool and piezoelectric ceramic clamping system. The dynamic path trajectory influenced by the processing parameters and workpiece-tool parameters belongs to the property of the cutting process, while different algorithms of active vibration control are considered as controller factors. The milling surface topography can be predicted by considering all these factors. A series of experiments were conducted to verify the effectiveness and accuracy of the prediction model, and the results showed a good correlation between the theoretical analysis and the actual milled surfaces.

In this study, the Extreme Hourly Precipitation Areas (EHPAs) of three extreme levels (i.e., between the 95th and 99th percentiles, between the 99th and 99.9th percentiles, beyond the 99.9th percentile) in the Pearl River Delta over South China are identified; then the related events and associated Convective Cores (CCs) are tracked, and their macro‐and‐microphysical characteristics are analyzed using multi‐year dual‐polarization radar observations. Results show that >90% of EHPAs are smaller than 10 km2, and 65%–75% of EHPA events last only one hour. They tend to be more localized and persist longer with increasing hourly‐precipitation extremity. The EHPAs overlap with the CCs during 50%–64% of the EHPAs' life span. Their occurrence frequencies are nearly quadrupled after the monsoon onset over South China Sea (SCS), with a major (secondary) peak at about 1400 LST (0600 LST) in the diurnal variations. The CCs are non‐linear shaped with about 65% being meso‐γ‐scale and embedded within mostly meso‐βor α‐scale 20 dBZ regions. The CCs generally contain active warm‐rain processes and about 70% possess moderate‐to‐intense mixed‐phase microphysical processes. The ratios of ice water path to liquid water path are about 0.37, and coalescence dominates (about 68%) the liquid‐phase processes. The average size of raindrop is slightly larger than the “maritime‐like” regime and the average concentration is much higher than the “continental‐like” regime. These CCs' characteristics roughly resemble those of the convection producing extreme instantaneous precipitation, except for a larger horizontal scale and less evident variations with the increasing hourly‐precipitation extremity. Extreme precipitation is of global concern, but macro‐ and microphysical characteristics of its associated convection remain elusive. Recent studies have analyzed the characteristics of convection producing extreme instantaneous precipitation in a monsoon coastal region of South China. We would like to know the characteristics of extreme hourly precipitation, which is potentially more disastrous, and how they vary with increasing extremity. For this purpose, we use 5‐year dual‐polarization radar observations combined with distrometer observations over the region to compare among three different extreme levels, and with those of extreme instantaneous precipitation. Results show that the extreme hourly precipitation mostly covers a small area, lasts only 1 hour, and overlaps with strong echoes during more than half of its life span. After the onset of summer monsoon over the South China Sea, the extreme hourly precipitation occurs much more frequently with a bimodal feature in the diurnal variation of occurrence frequency, consistent with those of extreme instantaneous precipitation. The microphysical characteristics of convection overlapping with the extreme hourly precipitation area resemble those of the extreme instantaneous precipitation‐producing convection. However, the former vary less evidently with the increasing hourly precipitation extremity likely due to smaller variations in probability distribution of convective intensity. The Extreme Hourly Precipitation Areas (EHPAs) overlap with non‐linear shaped Convective Cores (CCs) during 50%–64% of their life spanThe CCs have active coalescence with abundant small‐to‐medium size raindrops and ∼70% have moderate‐to‐intense mixed‐phase processesThe CCs' characteristics generally resemble extreme instantaneous rain‐producing convection but change less evidently with the extremity The Extreme Hourly Precipitation Areas (EHPAs) overlap with non‐linear shaped Convective Cores (CCs) during 50%–64% of their life span The CCs have active coalescence with abundant small‐to‐medium size raindrops and ∼70% have moderate‐to‐intense mixed‐phase processes The CCs' characteristics generally resemble extreme instantaneous rain‐producing convection but change less evidently with the extremity

Macrophages constitute a major component in human hepatocellular carcinoma (HCC) and perform various functions to facilitate disease progression. Reprogramming or reconstituting the tumor surveillance phenotypes of macrophages represents an attractive immunotherapeutic strategy in cancer treatments. The current study identified CD169 as a potential target for macrophage repolarization since it signified a population of macrophages positively correlated with an activated immune signature and better prognosis of patients with HCC. In vitroexperiments revealed that a low dose of type I interferon (IFN) could effectively reprogram human monocyte-derived macrophages to upregulate CD169 expression, and such induced CD169+macrophages exhibited significantly enhanced phagocytotic and CD8+T cell-activating capacities compared to controls. A low dose of IFNα also inhibited hepatoma growth in mice in vivo, presumably through polarizing the CD169+macrophage population and enhancing CD8+T cell activities. Notably, IFNα also induced substantial PD-L1 expression on macrophages in vivo, and thus blockade of PD-L1 could further increase the anti-tumor efficacy of IFNα in the treatment of HCC. We propose a low dose of IFNα in combination with a PD-L1 blocking agent as a potential anti-tumor therapeutic strategy via its effects on macrophage polarization.

Left ventricular thrombus (LVT) after acute ST-segment elevation myocardial infarction (STEMI) are generally associated with poorer outcomes for patients at long-term follow-up. We hypothesis that tissue characteristics and strain parameters by cardiac magnetic resonance (CMR) imaging may indicate the interactions of LVT with ventricular myocardium remodeling at both acute stage and chronic stages in STEMI patients. This retrospective study included 111 consecutive STEMI patients (38 with LVT and 73 without LVT). All patients underwent CMR during acute stage (within 7 days) and chronic stage (after at least 2 months) periods after percutaneous coronary intervention (PCI). Left ventricular native T1, extracellular volume (ECV), radial, circumferential, and longitudinal strain were analyzed in both phases. Major adverse cardiac events (MACE, including cardiovascular death, myocardial reinfarction, and hospitalization for heart failure), thromboembolic and bleeding events, were the clinical endpoints of the study. During the acute stage, left ventricular ejection fraction (LVEF) (OR?0.77, P value?=?0.01) and longitudinal strain (OR?1.90, P value?

A $Q$-switched mode-locked square noise-like pulse (QMLSNLP) is generated in a nonlinear polarization rotation passively mode-locked fiber laser. When the pump power changes from 154 mW to 414 mW, the frequency of the $Q$-switched envelope varies from 21.7 kHz to 38.9 kHz, while the duration of the $Q$-switched envelope decreases from $5.1\,\,{\unicode{x00B5}\rm s}$ to $3.2{\unicode{x00B5}\rm s}$, correspondingly. In the meantime, QMLSNLP keeps the fundamental repetition rate constant, and the pulse duration increases from 3.4 ns to 6.7 ns. By inserting different lengths of single-mode fiber into the ring cavity, the evolutions of QMLSNLP are measured and analyzed. According to the cavity parameters and experimental results, impacts of the cavity length on QMLSNLP are investigated in detail.

Heterostructure is a unique structure formed during the contact of two different semiconductor phases at the interface. This structure provides the material with an excellent photoelectric and photocatalysis performance, and it is used in solar cells and catalyst degradation of organic pollutants. Considering these unique features, heterostructures have attracted wide attention in the field of photoelectric materials and environmental science. In this study, CeO2/TiO2heterostructure was prepared by hydrothermal method, and the morphology and structure of the samples were characterized and analyzed by scanning electron microscopy The structural model of the CeO2/TiO2heterostructure was constructed using a molecular design method based on anatase TiO2(001) surface. The microstructure, electronic structure, and optical properties of CeO2/TiO2heterostructure were studied using density functional theory. The band gap of CeO2/TiO2heterostructure is significantly lower than that of pure TiO2(3.061eV), thus reducing the energy exciting photons and improving the optical absorption capacity. Moreover, the CeO2/TiO2heterostructure can broaden the absorption range from the ultraviolet region to the visible light region. Hence, the photocatalytic performance and photoelectric conversion efficiency of the system can be significantly improved.

The property theory of traditional Chinese medicine (TCM) has been practiced for thousands of years, playing a pivotal role in the clinical application of TCM. While advancements in energy metabolism, chemical composition analysis, machine learning, ion current modeling, and supercritical fluid technology have provided valuable insight into how aspects of TCM property theory may be measured, these studies only capture specific aspects of TCM property theory in isolation, overlooking the holistic perspective inherent in TCM. To systematically investigate the modern interpretation of the TCM property theory from multidimensional perspectives, we consulted the Chinese Pharmacopoeia(2020 edition) to compile a list of Chinese materia medica (CMM). Then, using the Latin names of each CMM and gut microbiota as keywords, we searched the PubMed database for relevant research on gut microbiota and CMM. The regulatory patterns of different herbs on gut microbiota were then summarized from the perspectives of the four natures, the five flavors and the meridian tropism. In terms of the four natures, we found that warm-natured medicines promoted the colonization of specific beneficial bacteria, while cold-natured medicines boosted populations of some beneficial bacteria while suppressing pathogenic bacteria. Analysis of the five flavors revealed that sweet-flavored and bitter-flavored CMMs positively influenced beneficial bacteria while inhibiting harmful bacteria. CMMs with different meridian tropism exhibited complex modulative patterns on gut microbiota, with Jueyin (Liver) and Taiyin (Lung) meridian CMMs generally exerting a stronger effect. The gut microbiota may be a biological indicator for characterizing the TCM property theory, which not only enhances our understanding of classic TCM theory but also contributes to its scientific advancement and application in healthcare.

This study aimed to explore leaf-color associated genes in Gleditsia sinensis(G. sinensis) using bioinformatics methods. Green, purple, and yellow leaves were collected from G. sinensisin Shandong Institute of Pomology. Total RNA was collected from leaves and subjected to transcriptome sequencing. Differentially expressed genes (DEGs) were identified among the different colored leaves using RSEM method followed by functional enrichment analysis. Finally, qRT-PCR analysis was used to assess the expression of several pigment-related genes enriched in significant GO or KEGG terms. A total of 10,953, 14,961, and 8916 DEGs were identified between green vs. purple leaves, green vs. yellow leaves, and purple vs. yellow leaves, respectively. Among the green vs. purple leaves, DEGs were significantly enriched in terms of iron ion binding, tetrapyrrole binding, (e.g., CYP26A1, CYP97A3, and CYP86A1), and starch and sucrose metabolism (e.g., TPSand VTC2). DEGs for green/purple vs. yellow groups were markedly enriched in circadian rhythm-plant KEGG pathway, including ELF3and CHS. Compared with their expression in green leaves, CYP26A1, CYP97A3, CYP86A1, TPSand VTC2were significantly downregulated in purple leaves, while downregulation of ELF3and upregulation of CHSwas detected in yellow leaves. CYPs (e.g., CYP26A1and CYP97A3) might play critical roles in the determination of leaf color in G. sinensisvia iron ion and tetrapyrrole binding. In addition, genes related to starch and sucrose metabolism (e.g., TPSand VTC2), and circadian rhythms (e.g., ELF3and CHS) might also be involved in controlling leaf color.

Dual-polarization (dual-pol) radar can measure additional parameters that provide more microphysical information of precipitation systems than those provided by conventional Doppler radar. The dual-pol parameters have been successfully utilized to investigate precipitation microphysics and improve radar quantitative precipitation estimation (QPE). The recent progress in dual-pol radar research and applications in China is summarized in four aspects. Firstly, the characteristics of several representative dual-pol radars are reviewed. Various approaches have been developed for radar data quality control, including calibration, attenuation correction, calculation of specific differential phase shift, and identification and removal of non-meteorological echoes. Using dual-pol radar measurements, the microphysical characteristics derived from raindrop size distribution retrieval, hydrometeor classification, and QPE is better understood in China. The limited number of studies in China that have sought to use dual-pol radar data to validate the microphysical parameterization and initialization of numerical models and assimilate dual-pol data into numerical models are summarized. The challenges of applying dual-pol data in numerical models and emerging technologies that may make significant impacts on the field of radar meteorology are discussed.

Atomically thin membranes of two-dimensional (2-D) transition-metal dichalcogenides (TMDCs) have distinct emission properties, which can be utilized for realizing ultrathin optoelectronic integrated systems in the future. Growing a large-area and strain-reduced monolayer 2-D material on a three-dimensional (3-D) substrate with microstructures or nanostructures is a crucial technique because the electronic band structure of TMDC atomic layers is strongly affected by the number of stacked layers and strain. In this study, a large-area and strain-reduced MoS2monolayer was fabricated on a 3-D substrate through a two-step growth procedure. The material characteristics and optical properties of monolayer TMDCs fabricated on the nonplanar substrate were examined. The growth of monolayer MoS2on a cone-shaped sapphire substrate effectively reduced the tensile strain induced by the substrate by decreasing the thermal expansion mismatch between the 2-D material and the substrate. Monolayer MoS2grown on the nonplanar substrate exhibited uniform strain reduction and luminescence intensity. The fabrication of monolayer MoS2on a nonplanar substrate increased the light extraction efficiency. In the future, large-area and strain-reduced 2-D TMDC materials grown on a nonplanar substrate can be employed as novel light-emitting devices for applications in lighting, communication, and displays for the development of ultrathin optoelectronic integrated systems.

According to theory of Chinese medicine property, the ecological environment shapes properties (natures and flavors) of Chinese materia medica (CMM) and there are close relationships between certain natures and flavors. However, to date these observations have not been validated scientifically in the context of the whole flora of a region. The present study aims to address this gap.

Facing the large amount of entities appearing on the web, entity linking becomes popular recently. It assigns an entrance of a resource to one entity to help users grasp the meaning of this entity. Apparently, the entities that usually co-occur are related and can be considered together to find their best assignments. This approach is called collective entity linking and is often conducted based on entity graph. However, traditional collective entity linking methods either consume much time due to the large-scale of entity graph or obtain low accuracy due to simplifying graph to boost speed. To improve both accuracy and efficiency, this paper proposes a novel collective entity linking method based on greedy search and Monte Carlo calculation. Experimental results show that our linking algorithm can obtain both accurate results and low running time meanwhile.

Residual stress has a significant influence on mechanical strength of a manufactured part and is considered to be related with process parameters and grinding signals. This paper investigates the relationship between residual stress and forces in the grinding of maraging steel 3J33. Features in time and frequency domains are extracted from tangential and normal grinding forces via various signal processing techniques. A two-round selection based on the statistical criterion is proposed to choose the best features that are related to the residual stress in the surface layer. The selected features are combined linearly in order to develop an empirical regression model that is capable of predicting residual stress well. The predicted residual stress values are compared with those measured from the experiment performed under different process parameters, and the result shows a favorable agreement quantitatively.