Search Results - "Xu, Jinfan"
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Functions of Jasmonic Acid in Plant Regulation and Response to Abiotic Stress
Published in International journal of molecular sciences (20-02-2020)“…Jasmonic acid (JA) is an endogenous growth-regulating substance, initially identified as a stress-related hormone in higher plants. Similarly, the exogenous…”
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2
Deep learning for vibrational spectral analysis: Recent progress and a practical guide
Published in Analytica chimica acta (12-11-2019)“…The development of chemometrics aims to provide an effective analysis approach for data generated by advanced analytical instruments. The success of existing…”
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Association between Lifestyle Modification and All-Cause, Cardiovascular, and Premature Mortality in Individuals with Non-Alcoholic Fatty Liver Disease
Published in Nutrients (01-07-2024)“…This study is designed to explore the correlation between multiple healthy lifestyles within the framework of "lifestyle medicine", and the mortality risk of…”
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4
DeepCropNet: a deep spatial-temporal learning framework for county-level corn yield estimation
Published in Environmental research letters (01-03-2020)“…Large-scale crop yield estimation is critical for understanding the dynamics of global food security. Understanding and quantifying the temporal cumulative…”
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5
Large-Scale Rice Mapping Using Multi-Task Spatiotemporal Deep Learning and Sentinel-1 SAR Time Series
Published in Remote sensing (Basel, Switzerland) (01-02-2022)“…Timely and accurate cropland information at large spatial scales can improve crop management and support the government in decision making. Mapping the spatial…”
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Antiosteoporosis effect and possible mechanisms of the ingredients of Radix Achyranthis Bidentatae in animal models of osteoporosis: systematic review and meta-analysis of in vivo studies
Published in Journal of orthopaedic surgery and research (26-07-2023)“…The effect and mechanisms of the ingredients (IRAB) of Radix Achyranthis Bidentatae (RAB) on treating osteoporosis (OP) remains debated. We aimed to summary…”
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7
DeepSpectra: An end-to-end deep learning approach for quantitative spectral analysis
Published in Analytica chimica acta (13-06-2019)“…Learning patterns from spectra is critical for the development of chemometric analysis of spectroscopic data. Conventional two-stage calibration approaches…”
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8
Quasi-pseudo-BL algebras and weak filters
Published in Soft computing (Berlin, Germany) (01-03-2023)“…In this paper, we introduce the notion of weak filters in quasi-pseudo-BL algebras. First, we discuss the properties of weak filters of a quasi-pseudo-BL…”
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9
Advances and challenges in medicinal plant breeding
Published in Plant science (Limerick) (01-09-2020)“…•Medicinal plants have significant economic and social benefits.•Global demand and consumption of medicinal plants has serious consequences for biodiversity…”
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10
DeepCropMapping: A multi-temporal deep learning approach with improved spatial generalizability for dynamic corn and soybean mapping
Published in Remote sensing of environment (15-09-2020)“…Accurate crop mapping provides important and timely information for decision support on the estimation of crop production at large scale. Most existing…”
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A deep learning approach to conflating heterogeneous geospatial data for corn yield estimation: A case study of the US Corn Belt at the county level
Published in Global change biology (01-03-2020)“…Understanding large‐scale crop growth and its responses to climate change are critical for yield estimation and prediction, especially under the increased…”
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12
Effects of phytochemicals from plant-based functional foods on hyperlipidemia and their underpinning mechanisms
Published in Trends in food science & technology (01-09-2020)“…Hyperlipidemia, characterized by abnormal lipid metabolism, is a dominant feature of many chronic diseases, including obesity, diabetes, and cardiovascular and…”
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13
Understanding the learning mechanism of convolutional neural networks in spectral analysis
Published in Analytica chimica acta (04-07-2020)“…Deep learning approaches, especially convolutional neural network (CNN) models, have achieved excellent performances in vibrational spectral analysis. The…”
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14
Towards interpreting multi-temporal deep learning models in crop mapping
Published in Remote sensing of environment (01-10-2021)“…Multi-temporal deep learning approaches have exhibited excellent classification performance in large-scale crop mapping. These approaches efficiently and…”
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15
An interpretable deep learning approach for calibration transfer among multiple near-infrared instruments
Published in Computers and electronics in agriculture (01-01-2022)“…•This study provides a deep learning approach for calibration transfer analysis.•The proposed DTS approach outperforms the conventional standardization…”
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16
Exploring the mechanism of MP gel against skin photoaging based on network pharmacology, molecular docking, and experimental validation
Published in Journal of cosmetic dermatology (01-03-2023)“…Objective Long‐term and high exposure to UV radiation can lead to the development of skin photoaging diseases. Therefore, there is an ongoing need for more…”
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A Targeted “Capture” and “Removal” Scavenger toward Multiple Pollutants for Water Remediation based on Molecular Recognition
Published in Advanced science (01-03-2016)“…For the water remediation techniques based on adsorption, the long‐standing contradictories between selectivity and multiple adsorbability, as well as between…”
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Water Splitting: A Targeted “Capture” and “Removal” Scavenger toward Multiple Pollutants for Water Remediation based on Molecular Recognition (Adv. Sci. 3/2016)
Published in Advanced science (01-03-2016)“…For adsorbents used in water remediation, the long‐standing contradictions between selectivity and multiple adsorbability, and affinity and recyclability, have…”
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19
A Portable Framework for Accelerating Stencil Computations on Modern Node Architectures
Published 08-09-2023“…Finite-difference methods based on high-order stencils are widely used in seismic simulations, weather forecasting, computational fluid dynamics, and other…”
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Effective doctor-patient communication skills training optimizes functional organization of intrinsic brain architecture:a restingstate functional MRI study
Published in Journal of biomedical research (2017)“…We studied the influence of doctor-patient communication skills training on brain functional architecture using resting-state functional MRI(rs-fMRI) with a…”
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