Publications by authors named "Hua-Jun Tang"

Article Synopsis
  • Studies indicate degraded grassland ecosystems in Inner Mongolia are primarily due to intensified grazing, affecting above-ground biomass but not soil organic carbon density (SOCD).
  • Despite a 10% decline in total vegetation biomass from the 1980s to 2000s, total forage production rose by 6.72%, and SOCD remained stable even with 67% increased grazing intensity.
  • The analysis shows climate factors like precipitation and temperature greatly influence vegetation changes, while grazing impacts on carbon stocks are minimal, highlighting the resilience of grassland ecosystems against grazing pressure.
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Background And Aims: Methamphetamine (MA) is a psychostimulant associated with a high relapse rate among patients with MA use disorder (MUD). Long-term use of MA is associated with mental disorders, executive dysfunction, aggressive behaviors, and impulsivity among patients with MUD. However, identifying which factors may be more closely associated with relapse has not been investigated.

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Repetitive transcranial magnetic stimulation (rTMS) has therapeutic effects on craving in methamphetamine (METH) use disorder (MUD). The chronic abuse of METH causes impairments in executive function, and improving executive function reduces relapse and improves treatment outcomes for drug use disorder. The purpose of this study was to determine whether executive function helped predict patients' responses to rTMS treatment.

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Article Synopsis
  • The study aimed to investigate the effectiveness of low-intensity pulsed ultrasound (LIPUS) in repairing ovarian damage caused by cyclophosphamide (CTX) in female rats.
  • After inducing ovarian failure in 43 rats, they were divided into treatment and control groups, with the treatment group receiving LIPUS while the others did not.
  • Results showed that LIPUS improved the rats' estrous cycles, increased the number of ovarian follicles, and raised serum estradiol levels, indicating its potential to aid recovery from ovarian injury caused by CTX.
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Objective: To establish a SD rat model of vulvar lichen simplex chronicus (LSC) and investigate the expression of protease activated receptor 2 (PAR2) in the genital skin.

Methods: Seventy female SD rats were randomly divided into group A (blank control group, n=10), group B (with application of acetone solution 3 times per week for 10 weeks, n=10), group C (with chronic mechanical irritation 3 times per week for 10 weeks, n=10), and group D (with topical treatment with 0.5= 7,12-Dimethylbenzanthracene [DMBA] in acetone solution and chronic mechanical irritation 3 times per week for 10 weeks, n=40).

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By using retrieved LAI from remotely-sensed imagery, this paper studied the regional winter wheat yield estimation in Huanghuaihai Plain of North China. In order to improve the quality of remotely sensed data for winter wheat yield estimation, a Savitzky-Golay filter was used to smooth the MODIS-NDVI time series data to reduce the cloud contamination and remove the abnormal data. Then, a Gaussian model was used to simulate the daily crop LAI which was corrected by interpolating the measured LAI to get the average LAI values for each phenological stage.

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Based on the 2004 in situ data of crop yield, remote sensing inversed photosynthetically active radiation (PAR), fraction of photosynthetically active radiation (f(PAR)), climate, and soil moisture in 83 typical winter wheat sampling field of 45 counties in Shijiazhuang, Hengshui, and Xingtai of Hebei Province, a simplified model for calculating the light use efficiency (epsilon) of winter wheat in Huanghuaihai Plain was established. According to the crop accumulated biomass from March to May and corrected by harvest index, the quantitative relationship between crop biomass and crop yield for winter wheat was set up, and applied in the 235 counties in Huanghuaihai Plain region of Hebei Province and Shandong Province and validated by the official crop statistical data at county level in 2004. The results showed that the root mean square error (RMSE) of predicted winter wheat yield in study area was 238.

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