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Intercomparison of CH4 Products in China from GOSAT, TROPOMI, IASI, and AIRS Satellites
Remote sensing (Basel, Switzerland), 2023-09, Vol.15 (18), p.4499
2023
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Ground-Based Atmospheric CO2, CH4, and CO Column Measurements at Golmud in the Qinghai-Tibetan Plateau and Comparisons with TROPOMI/S5P Satellite Observations
Advances in atmospheric sciences, 2023-02, Vol.40 (2), p.223-234
2023
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CO2 in Beijing and Xianghe Observed by Ground-Based FTIR Column Measurements and Validation to OCO-2/3 Satellite Observations
Remote sensing (Basel, Switzerland), 2022-08, Vol.14 (15), p.3769
2022
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Intercomparison of CH[sub.4] Products in China from GOSAT, TROPOMI, IASI, and AIRS Satellites
Remote sensing (Basel, Switzerland), 2023-09, Vol.15 (18)
2023
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CH 4 column retrievals from ground-based and space-based infrared spectra and satellite validation
Yao gan xue bao, 2024, p.1-18
2024
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Understanding the variations and sources of CO, C 2 H 2 , C 2 H 6 , H 2 CO, and HCN columns based on 3 years of new ground-based Fourier transform infrared measurements at Xianghe, China
Atmospheric measurement techniques, 2023-01, Vol.16 (2), p.273-293
2023
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Understanding the variations and sources of CO, C.sub.2H.sub.2, C.sub.2H.sub.6, H.sub.2CO, and HCN columns based on 3 years of new ground-based Fourier transform infrared measurements at Xianghe, China
Atmospheric measurement techniques, 2023-01, Vol.16 (2), p.273
2023
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Understanding the variations and sources of CO, C2H2, C2H6, H2CO, and HCN columns based on 3 years of new ground-based Fourier transform infrared measurements at Xianghe, China
Atmospheric measurement techniques, 2023-01, Vol.16 (2), p.273-293
2023
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Metabolic phenotypes and the gut microbiota in response to dietary resistant starch type 2 in normal-weight subjects: a randomized crossover trial
Scientific reports, 2019-03, Vol.9 (1), p.4736-4736, Article 4736
2019
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Decreased Abundance of Akkermansia muciniphila Leads to the Impairment of Insulin Secretion and Glucose Homeostasis in Lean Type 2 Diabetes
Advanced science, 2021-08, Vol.8 (16), p.e2100536-n/a
2021
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Bifidobacterium adolescentis Alleviates Liver Steatosis and Steatohepatitis by Increasing Fibroblast Growth Factor 21 Sensitivity
Frontiers in endocrinology (Lausanne), 2021-12, Vol.12, p.773340-773340
2021
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Animal Kingdom: A Large and Diverse Dataset for Animal Behavior Understanding
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022, p.19001-19012
2022
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Organoid as a promising tool for primary liver cancer research: a comprehensive review
Cell & bioscience, 2024-08, Vol.14 (1), p.107-23
2024
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FGF21/adiponectin ratio predicts deterioration in glycemia: a 4.6-year prospective study in China
Cardiovascular diabetology, 2021-07, Vol.20 (1), p.157-157, Article 157
2021
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Trimethoxyflavanone relieves Paclitaxel-induced neuropathic pain via inhibiting expression and activation of P2X7 and production of CGRP in mice
Neuropharmacology, 2023-09, Vol.236, p.109584-109584, Article 109584
2023
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Exercise‐induced improvement of glycemic fluctuation and its relationship with fat and muscle distribution in type 2 diabetes
Journal of diabetes, 2024-04, Vol.16 (4), p.e13549-n/a
2024
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Effect of virtual reality-based exercise and physical exercise on adolescents with overweight and obesity: study protocol for a randomised controlled trial
BMJ open, 2023-10, Vol.13 (10), p.e075332-e075332
2023
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Serum miR-192 Is Related to Tubulointerstitial Lesion and Short-Term Disease Progression in IgA Nephropathy
Nephron (2015), 2019-01, Vol.142 (3), p.195-207
2019
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Exposure to jet lag aggravates depression-like behaviors and age-related phenotypes in rats subject to chronic corticosterone
Acta biochimica et biophysica Sinica, 2019-08, Vol.51 (8), p.834-844
2019
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Resistant starch intake facilitates weight loss in humans by reshaping the gut microbiota
Nature metabolism, 2024-03, Vol.6 (3), p.578
2024
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Correction to Integrating MS1 and MS2 Scans in High-Resolution Parallel Reaction Monitoring Assays for Targeted Metabolite Quantification and Dynamic 13 C-Labeling Metabolism Analysis
Analytical chemistry (Washington), 2018-04, Vol.90 (8), p.5509-5509
2018
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Correction to Integrating MS1 and MS2 Scans in High-Resolution Parallel Reaction Monitoring Assays for Targeted Metabolite Quantification and Dynamic 13C‑Labeling Metabolism Analysis
Analytical chemistry (Washington), 2018-04, Vol.90 (8), p.5509-5509
2018
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Integrating MS1 and MS2 Scans in High-Resolution Parallel Reaction Monitoring Assays for Targeted Metabolite Quantification and Dynamic 13C‑Labeling Metabolism Analysis
Analytical chemistry (Washington), 2017-01, Vol.89 (1), p.877-885
2017
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Integrating MS1 and MS2 Scans in High-Resolution Parallel Reaction Monitoring Assays for Targeted Metabolite Quantification and Dynamic ^sup 13^C-Labeling Metabolism Analysis
Analytical chemistry (Washington), 2017-01, Vol.89 (1), p.877
2017
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Integrating MS1 and MS2 Scans in High-Resolution Parallel Reaction Monitoring Assays for Targeted Metabolite Quantification and Dynamic 13 C-Labeling Metabolism Analysis
Analytical chemistry (Washington), 2017-01, Vol.89 (1), p.877-885
2017
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