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Article
MSSTN: a multi-scale spatio-temporal network for traffic flow prediction
Spatio-temporal feature extraction and fusion are crucial to traffic prediction accuracy. However, the complicated spatio-temporal correlations and dependencies between traffic nodes make the problem quite cha...
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Article
Open AccessReview of the current transducer techniques
Current measurement technologies encompass a wide array of techniques, numbering over ten distinct methods. Among these, current sensors such as Rogowski coils and transformers based on Ampere’s law stand out....
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Article
Open AccessUnveiling the A-to-I mRNA editing machinery and its regulation and evolution in fungi
A-to-I mRNA editing in animals is mediated by ADARs, but the mechanism underlying sexual stage-specific A-to-I mRNA editing in fungi remains unknown. Here, we show that the eukaryotic tRNA-specific heterodimer...
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Article
A lightweight siamese transformer for few-shot semantic segmentation
Few-shot semantic segmentation (FSS) is a challenging task that aims to segment new classes in query images with a few annotated support samples. One inherent challenge in FSS is the intra-class variation resu...
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Article
Learning discriminative foreground-and-background features for few-shot segmentation
Few-shot Semantic Segmentation (FSS) endeavors to segment novel categories in a query image by referring to a support set comprising only a few annotated examples. Presently, many existing FSS methodologies pr...
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Article
Open AccessEvaluation of precipitation reanalysis products for regional hydrological modelling in the Yellow River Basin
This study evaluates six precipitation reanalysis products for the Yellow River Basin using gridded rain gauge data, runoff data and the Atmospheric and Hydrological Modelling System (AHMS) simulations. The as...
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Article
Self-assembly of CuAuTA nanozymes for intelligent detection of ginkgolic acids
Toxic ginkgolic acids (GAs) are a challenge for Ginkgo biloba-related food. Although a detection method for GAs is available, bulky instruments limit the field testing of GAs. Herein, by assembling gold nanoclust...
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Article
Joint remote state preparation of an arbitrary single-qutrit state in noisy environment
In this paper, a joint remote state preparation scheme for an arbitrary single-qutrit state is proposed. First, we introduce how to remotely prepare an arbitrary single-qutrit state in the ideal environment wi...
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Article
Open AccessRegulation of TRI5 expression and deoxynivalenol biosynthesis by a long non-coding RNA in Fusarium graminearum
Deoxynivalenol (DON) is the most frequently detected mycotoxin in cereal grains and processed food or feed. Two transcription factors, Tri6 and Tri10, are essential for DON biosynthesis in Fusarium graminearum. I...
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Chapter and Conference Paper
Study on Health Management System of Air Turbine Starter for Aviation
On the basis of summarizing the research of prediction and Health Management at home and abroad, this paper describes the development and research of air turbine Starter Health Management (SHM)
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Article
Open Access1002 km twin-field quantum key distribution with finite-key analysis
Quantum key distribution (QKD) holds the potential to establish secure keys over long distances. The distance of point-to-point QKD secure key distribution is primarily impeded by the transmission loss inheren...
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Article
Naples score: a novel prognostic biomarker for breast cancer patients undergoing neoadjuvant chemotherapy
The Naples Score (NPS) is a novel prognostic indicator that has been used in various cancers, but its potential in breast malignant tumor patients receiving neoadjuvant chemotherapy (NAC) has not been discover...
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Article
Open AccessHerbicide 2,4-dichlorophenoxyacetic acid interferes with MAP kinase signaling in Fusarium graminearum and is inhibitory to fungal growth and pathogenesis
Plant hormones are important for regulating growth, development, and plant-pathogen interactions. Some of them are inhibitory to growth of fungal pathogens but the underlying mechanism is not clear. In this st...
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Article
Open AccessPrediction of nonsentinel lymph node metastasis in breast cancer patients based on machine learning
Develop the best machine learning (ML) model to predict nonsentinel lymph node metastases (NSLNM) in breast cancer patients.
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Article
Prolonged hypoxia alleviates prolyl hydroxylation-mediated suppression of RIPK1 to promote necroptosis and inflammation
The prolyl hydroxylation of hypoxia-inducible factor 1α (HIF-1α) mediated by the EGLN–pVHL pathway represents a classic signalling mechanism that mediates cellular adaptation under hypoxia. Here we identify RI...
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Article
Correction to: Measurement of δ18O in water vapor using a tunable diode laser‑based spectrometer
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Article
Measurement of δ18O in water vapor using a tunable diode laser-based spectrometer
A gas detection system based on tunable diode laser absorption spectroscopy (TDLAS) was reported, which can be used for real-time, continuity, high-precision, and rapid time response measurement of the isotope...
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Article
Open AccessThe prediction of distant metastasis risk for male breast cancer patients based on an interpretable machine learning model
This research was designed to compare the ability of different machine learning (ML) models and nomogram to predict distant metastasis in male breast cancer (MBC) patients and to interpret the optimal ML model...
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Article
Karst tiankeng shapes the differential composition and structure of bacterial and fungal communities in karst land
Karst tiankeng are important biodiversity conservation reservoirs. However, the unique habitats of karst tiankeng affect microbial community structure remained poorly understood. In this study, we collected so...
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Article
Quantifying multivariate flood risk under nonstationary condition
Risk analysis of extreme hydrological events is a key issue in the decision-making process for river basin management. For a given multivariate flood event, the corresponding flood risk under stationary condit...
