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Characterization of flavor profile of beef jerky from different regions of China using gas chromatography–mass spectrometry, electronic tongue, and electronic nose
Published 2025-01-01“…This research utilized gas chromatography–mass spectrometry (GC–MS), electronic tongue (E-tongue), electronic nose (E-nose), and sensory analysis to investigate the flavor profiles of beef jerky from four specific regions of China: Xinjiang, Tibet, Sichuan, and Inner Mongolia. Physical analysis revealed that beef jerky from Inner Mongolia had lower moisture content and water activity, while Tibet and Inner Mongolia samples exhibited lower pH values. …”
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Construction land transition in Qinghai-Tibet Plateau and its eco-environmental effects during 2000-2020
Published 2025-01-01“…Regional differences in land-use transitions were evident: the Northern Tibet Plateau and Qaidam Basin showed higher proportions of transitions to water bodies, water conservancy land, and unused land, while the expansion mainly occupied grasslands and unused land; in other regions, construction land predominantly shifted between cropland and grassland. (3) The <i>IRSEI</i> values of construction land in the regions of Qinghai-Tibet Plateau were ranked as follows: Sichuan-Tibet alpine canyon region > Qilian Mountains region > Southern Tibet valley region > Qinghai Plateau > Qaidam Basin > Northern Tibet Plateau. (4) Overall, construction land transition demonstrated negative ecological effects. …”
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Spatial distribution and influencing factors of secondhand smoke exposure in Chinese healthcare facilities: a cross-sectional survey
Published 2024-12-01“…Local spatial autocorrelation analysis showed that Qinghai province, Sichuan province, Chongqing city, Guizhou province, Hunan province, and Hubei province were all in high-high cluster areas, Hebei province was in a low-low cluster area, and Xinjiang Uyghur Autonomous Region, Yunnan province, and Guangdong province were all in low-high cluster areas. …”
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Multi-omics reveals that ST6GAL1 promotes colorectal cancer progression through LGALS3BP sialylation
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Identification of Potential Diagnostic Biomarkers of Carotid Atherosclerosis in Obese Populations
Published 2025-02-01“…Xize Wu,1,* Jiaxiang Pan,2,* Xue Pan,1,3,* Jian Kang,1 Jiaqi Ren,1 Yuxi Huang,1 Lihong Gong,2,4 Yue Li2,4 1Graduate School, Liaoning University of Traditional Chinese Medicine, Shenyang, Liaoning, 110847, People’s Republic of China; 2Department of Cardiology, Affiliated Hospital of Liaoning University of Traditional Chinese Medicine, Shenyang, Liaoning, 110032, People’s Republic of China; 3College of Traditional Chinese Medicine, Dazhou Vocational College of Chinese Medicine, Dazhou, Sichuan, 635000, People’s Republic of China; 4Liaoning Provincial Key Laboratory of TCM Geriatric Cardio-Cerebrovascular Diseases, Shenyang, Liaoning, 110032, People’s Republic of China*These authors contributed equally to this workCorrespondence: Lihong Gong; Yue Li, Affiliated Hospital of Liaoning University of Traditional Chinese Medicine, No. 33, Beiling Street, Huanggu District, Shenyang, Liaoning, 110032, People’s Republic of China, Tel +86 024-82961105, Email Linda1795@sina.com; med_liyue@163.comObjective: This study aimed to investigate the potential mechanisms and biomarkers between Obesity (OB) and carotid atherosclerosis (CAS).Methods: The GSE12828, GSE125771, GSE43292, and GSE100927 datasets were combined and normalized to obtain CAS-related differentially expressed genes (DEGs), and OB-related DEGs were obtained from the GSE151839 dataset and the GeneCards database. …”
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Effect of comorbidity classes on survival of patients with gastrointestinal tract cancer
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Search for lepton number violating decays of D s + $$ {\textrm{D}}_{\textrm{s}}^{+} $$ → h − h0e+e+
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