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Linhe District, within the Yellow River metropolitan area, faces ecological issues like arable land salinization and desertification. A swift and scientific analysis of the distribution and changes in the ecological environment quality of this area will aid Linhe District in rehabilitating saline-alkaline cultivated land and achieving comprehensive protection of the Yellow River-related ecological environment. This study utilized land four Landsat TM/OLI images (2005-2020) to develop a remote-sensing eco-index through principal component analysis of greenness, humidity, dryness, and temperature. The eco-index was overlaid with land-use change data to assess ecological responses to recent changes in Linhe District. Results showed that the land-use structure has remained relatively stable over the past 15 years, with cultivated land having the highest eco-index value and unused land the lowest. The ecological index to rise from 0.5087 to 0.6837, indicating improved ecological quality in 64.96 km² due to land-use changes like conversions between cropland and grassland, urban and rural residential land to cropland, and forest land. Conversely, ecological degradation occurred over 161.89 km², primarily due to conversions from arable land to grassland and from arable land and grassland to urban and rural residential land.
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http://dx.doi.org/10.1177/00368504251357843 | DOI Listing |
Sci Prog
July 2025
ISoftStone Information Technology (Group) Co, Beijing, China.
Linhe District, within the Yellow River metropolitan area, faces ecological issues like arable land salinization and desertification. A swift and scientific analysis of the distribution and changes in the ecological environment quality of this area will aid Linhe District in rehabilitating saline-alkaline cultivated land and achieving comprehensive protection of the Yellow River-related ecological environment. This study utilized land four Landsat TM/OLI images (2005-2020) to develop a remote-sensing eco-index through principal component analysis of greenness, humidity, dryness, and temperature.
View Article and Find Full Text PDFFront Public Health
May 2025
School of Allied Health, The University of Western Australia, Perth, WA, Australia.
Background: Chronic diseases among older adults are recognised as a serious public health problem in China, causing rising social and economic burden. The aim of the study was to evaluate the association between chronic diseases and lifestyle risk factors among community-dwelling older adults who attended community health service centres (CHSC) in Southern China.
Methods: A retrospective cross-sectional study ( = 361) was conducted using a random sample of cases from a primary care database registry of two CHSC in Guangzhou city, Guangdong province, China.
Sci Rep
January 2025
Neuroscience Center, Department of Neurology, First Hospital of Jilin University, Jilin University, Changchun, China.
Large hemispheric infarction (LHI) is a severe form of stroke with high mortality and poor outcomes. Ultrasonic optic nerve sheath diameter (ONSD) is considered an effective indicator for intracranial hypertension. Our study aimed to validate the efficiency of ultrasonic ONSD and develop a nomogram to identify LHI patients who have 90-day mortality.
View Article and Find Full Text PDFBMC Cardiovasc Disord
November 2024
Department of Emergency, Bayannaoer Hospital, No. 98 Wulan Buhe Road, Linhe District, Bayannaoer City, 015000, Inner Mongolia, China.
Transl Cancer Res
September 2024
Department of Laboratory Medicine, Maternal and Child Health Care Hospital of Linhe District, Bayannaoer City, China.
Background: Lymphoid enhancer-binding factor 1 (LEF1)/T cell factor (TCF) family members are key transcription factors in malignant tumors. In this study, the role of T cell factor 4 (TCF4) in the progression of gastric cancer (GC) cell migration and invasion was investigated.
Methods: Fifty-five pairs of GC tissues and adjacent non-tumor tissues were collected for evaluating the expression of LEF1/TCF family members, which were also evaluated by the Gene Expression Profiling Interactive Analysis (GEPIA) database, an online analysis platform based on The Cancer Genome Atlas and Genotype-Tissue Expression databases.