Comparison of Machine Learning Regression Algorithms for Cotton Leaf Area Index Retrieval Using Sentinel-2 Spectral Bands by Huihui Mao, Jihua Meng, Fujiang Ji, Qiankun Zhang, Huiting Fang

“…We conducted the comparison of five MLRAs in an agricultural area of Northwest China over three cotton seasons with the corresponding field campaigns for modeling and validation. …”
Get full text

A major quantitative trait locus for wheat total root length associated with precipitation distribution by Huangxin Chen, Huangxin Chen, Jiatai Wei, Rong Tian, Zhaoyong Zeng, Huaping Tang, Yanlin Liu, Qiang Xu, Mei Deng, Qiantao Jiang, Qiantao Jiang, Guoyue Chen, Guoyue Chen, Yaxi Liu, Yaxi Liu, Wei Li, Pengfei Qi, Pengfei Qi, Yunfeng Jiang, Yunfeng Jiang, Yun Jiang, Liwei Tang, Yuming Wei, Yuming Wei, Youliang Zheng, Xiujin Lan, Xiujin Lan, Jian Ma, Jian Ma

“…Further analysis suggested that the positive allele at QTrl.sicau-2SY-4D was mainly utilized in wheat breeding of northwest China where precipitation was significantly lower, indicating that wheat requires longer TRL to capture water and nutrients in arid or semi-arid regions due to deficient precipitation. …”
Get full text

Incidence and Survival of Aortic Dissection in Urban China: Results from the National Insurance Claims for Epidemiological Research (NICER) Study by Xun Tang, Ke Lu, Xiaofei Liu, Danyao Jin, Wenxi Jiang, Jinxi Wang, Yongliang Zhong, Chen Wei, Yuan Wang, Pei Gao, Jie Du

“…In terms of geographic disparities, the crude incidence rate was significantly higher in Northwest China than South China (4.96[95%CI:4.17-5.75] vs. 2.04[95%CI:0.38-3.71] per 100,000 person-years; risk ratio: 2.67[95%CI: 2.34-3.04]). …”
Get full text

Community Characteristics of Planktonic Microalgae in Aquaculture Ponds of Different Modes in Ningxia in Summer by Jinfan LIU, Xiaojuan HU, Yucheng CAO, Yunna XU, Guoliang WEN, Li LI, Zhen SUN, Bin SHEN

“…Ningxia Hui Autonomous Region is located in Northwest China. Most of the culture ponds in Shizuishan City and Yinchuan City, in the northern part of Ningxia, are sulfate-type saline-alkali ponds. …”
Get full text

Prevalence and Trends for Post-stroke Fatigue in China: a Meta-analysis by XUE Chao, LI Juan, FANG Qian, YU Jie, HAO Mingqing

“…The results of subgroup analysis showed that the prevalence was 38.4% (95%CI=34.3%-42.5%) for men and 45.2% (95%CI=40.7%-49.7%) for women by gender grouping; the prevalence was 40.0% (95%CI=32.3%-48.0%) for those under 60 years of age, 67.9% (95%CI=54.2%-80.1%) for those aged 60-75 years by age grouping and 71.9% (95%CI=48.9%-90.5%) for those aged 75 years and above; the prevalence was 40.0% (95%CI=35.0%-45.2%) in North China, 41.0% (95%CI=29.5%-53.0%) in Northeast China, 49.5% (95%CI=43.1%-55.8%) in East China, 40.3% (95%CI=34.9%-45.8%) in Central China, 40.0% (95%CI=28.4%-52.2%) in South China, 59.3% (95%CI=54.0%-65.0%) in Southwest China, and 46.2% (95%CI=38.3%-54.2%) in Northwest China by regional grouping; the prevalence was 56.3% (95%CI=42.8%-69.4%) for hemorrhagic stroke and 40.0% (95%CI=36.7%-43.4%) for ischemic stroke by stroke nature grouping; the prevalence was 41.4% (95%CI=37.0%-45.8%) for acute phase and 46.4% (95%CI=40.8%-52.1%) for recovery phase by stroke duration grouping; the prevalence was 56.0% (95%CI=43.7%-67.9%) for elementary school and below, 46.7% (95%CI=39.6%-53.8%) for junior high school, 46.8% (95%CI=40.3%-53.4%) for senior high school, and 43.6% (95%CI=35.7%-51.6%) for college and above by education level grouping; the prevalence was 45.8% (95%CI=40.8%-50.9%) for those with a spouse and 53.6% (95%CI=47.4%-59.8%) for those without a spouse by marital status; the prevalence was 45.0% (95%CI=33.2%-57.0%) for those who were employed and 53.8% (95%CI=40.1%-67.2%) for those who were unemployed or retired by work status grouping; the prevalence was 41.8% (95%CI=38.3%-45.3%) for those who applied the Fatigue Severity Scale (FSS), 65.8% (95%CI=57.1%-74.0%) for those who applied the Check List Individual Strength (CIS), 50.5% (95%CI=44.6%-56.5%) for those who applied the Chinese version of the Neurological Fatigue Index for Stroke (NFI-stroke), 52.7% (95%CI=43.1%-62.1%) for those who applied the Chinese version of the Fatigue Assessment Scale (C-FAS), and 48.9% (95%CI=43.6%-54.2%) for those who applied the Mental Fatigue Self-Rating Scale (MFS). …”
Get full text

A Review of Current Status and Analysis Methods of Antibiotic Contamination in Groundwater in China (2012—2021) by NIU Ying, AN Sheng, CHEN Kai, QIN Jiujun, LIU Fei

“…From the perspective of spatial distribution, sulfonamide antibiotics are the most detected in northeast China, quinolones are the most detected in North and East China, quinolones and tetracyclines are the most detected in southwest China, and the research on antibiotics in groundwater in northwest China is relatively low. So far, restrained by the detection limits and detection types of the analysis methods, a comprehensive investigation and evaluation of antibiotics in groundwater is not possible.Due to the wide variety of antibiotics, their different structures lead to different physical andchemical properties. …”
Get full text

Peripheral nerve injury associated with JEV infection in high endemic regions, 2016–2020: a multicenter retrospective study in China by Guowei Wang, Lianmei Zhong, Manxia Wang, Juan Zhou, Shuting Liu, Wang Miao, Leilei Li, Yonghong Liu, Shougang Guo, Haining Li, Xiaoming Wang, Liuqing Xie, Min Xie, Shihong Fu, Tingting Xuan, Fan Li, Tingting Yang, Lufei Shao, Mingfang Shi, Xiaocong Li, Xiaoling Li, Li Gao, Shaopeng Zhai, Jia Ding, Tianhong Wang, Dayong Liu, Guosheng Ma, Jiang Wu, Dongjun Wan, Junlin Guo, Xinbo Zhang, Jinxia Wu, Yinxu Wang, Ansong Jin, Lei Ma, Huan Yang, Xuexian He, Xiaona Ma, Huijuan Liu, Boya Ma, Ningai Yang, Xiaolin Hou, Ting Xu, Cheng-feng Qin, Huanyu Wang, Peng Xie, Zhenhai Wang

“…Among 1626 laboratory confirmed JE patients, 230 (14%) were type 2 mainly located along the Yellow River in northwest China. In addition to fever, headache, and disturbance of consciousness, type 2 patients experienced acute flaccid paralysis of the limbs, as well as severe respiratory muscle paralysis. …”
Get full text

Quantifying atmospheric nitrogen deposition through a nationwide monitoring network across China by W. Xu, X. S. Luo, Y. P. Pan, L. Zhang, A. H. Tang, J. L. Shen, Y. Zhang, K. H. Li, Q. H. Wu, D. W. Yang, Y. Y. Zhang, J. Xue, W. Q. Li, Q. Q. Li, L. Tang, S. H. Lu, T. Liang, Y. A. Tong, P. Liu, Q. Zhang, Z. Q. Xiong, X. J. Shi, L. H. Wu, W. Q. Shi, K. Tian, X. H. Zhong, K. Shi, Q. Y. Tang, L. J. Zhang, J. L. Huang, C. E. He, F. H. Kuang, B. Zhu, H. Liu, X. Jin, Y. J. Xin, X. K. Shi, E. Z. Du, A. J. Dore, S. Tang, J. L. Collett Jr., K. Goulding, Y. X. Sun, J. Ren, F. S. Zhang, X. J. Liu

“…On a national basis, the annual average concentrations (1.3–47.0 μg N m^−3) and dry plus wet/bulk deposition fluxes (2.9–83.3 kg N ha⁻¹ yr^−1) of inorganic N_r species are ranked by land use as urban > rural > background sites and by regions as north China > southeast China > southwest China > northeast China > northwest China > Tibetan Plateau, reflecting the impact of anthropogenic N_r emission. …”
Get full text

Detection of Human Noroviruses in Shellfish in China: A Meta-Analysis by Shuzhen CAI, Yijing LI, Liang XUE, Junshan GAO, Weicheng CAI, Mingfang XU, Qingping WU, Jumei ZHANG

“…The geographical location exhibited a significant impact on the prevalence of HuNoVs (P < 0.01), and its prevalence in South China (Guangdong, Guangxi, Hainan), North China (Beijing, Hebei), and East China (Fujian, Jiangsu, Shandong, Shanghai, and Zhejiang) reached 19%, 17%, and 11%, respectively, while those in Northeast China (Liaoning) and Northwest China (Gansu), which were not coastal areas, were 4% and 9%, respectively. …”
Get full text

The first power generation test of hot dry rock resources exploration and production demonstration project in the Gonghe Basin, Qinghai Province, China by Er-yong Zhang, Dong-guang Wen, Gui-ling Wang, Wei-de Yan, Wen-shi Wang, Cheng-ming Ye, Xu-feng Li, Huang Wang, Xian-chun Tang, Wei Weng, Kuan Li, Chong-yuan Zhang, Ming-xing Liang, Hong-bao Luo, Han-yue Hu, Wei Zhang, Sen-qi Zhang, Xian-peng Jin, Hai-dong Wu, Lin-you Zhang, Qing-da Feng, Jing-yu Xie, Dan Wang, Yun-chao He, Yue-wei Wang, Zu-bin Chen, Zheng-pu Cheng, Wei-feng Luo, Yi Yang, Hao Zhang, En-lai Zha, Yu-lie Gong, Yu Zheng, Chang-sheng Jiang, Sheng-sheng Zhang, Xue Niu, Hui Zhang, Li-sha Hu, Gui-lin Zhu, Wen-hao Xu, Zhao-xuan Niu, Li Yang

“…An HDR exploration borehole (with 236 °C at a depth of 3705 m) was drilled into Triassic granite in the Gonghe Basin in northwest China in 2017. Subsequently, China Geological Survey (CGS) launched the HDR resources exploration and production demonstration project in 2019. …”
Get full text

ОЦЕНКА ИЗМЕНЕНИЙ РЕЖИМА ПАВОДКОВОГО СТОКА РЕКИ УССУРИ С УЧЕТОМ СОВРЕМЕННЫХ КЛИМАТИЧЕСКИХ ПРОЕКЦИЙ ДО КОНЦА XXI ВЕКА... by Boris I.Gartsman, Sergei Yu.Lupakov

“…How will climate change affect the water availability in the Heihe River basin, northwest China? // Journal of Hydrometeorology. 2016. …”
Get full text

Attribution of growing season evapotranspiration variability considering snowmelt and vegetation changes in the arid alpine basins by T. Ning, T. Ning, T. Ning, Z. Li, Q. Feng, Q. Feng, Z. Li, Z. Li, Y. Qin

“…Taking the arid alpine basins in the Qilian Mountains in northwest China as the study area, we extended the Budyko framework to decompose the growing season <span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M6" display="inline" overflow="scroll" dspmath="mathml"><mrow><msubsup><mi mathvariant="italic">σ</mi><mi mathvariant="normal">ET</mi><mn mathvariant="normal">2</mn></msubsup></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="19pt" height="17pt" class="svg-formula" dspmath="mathimg" md5hash="60916bb4ce29d2c36970618be6b96751"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="hess-25-3455-2021-ie00002.svg" width="19pt" height="17pt" src="hess-25-3455-2021-ie00002.png"/></svg:svg></span></span> into the temporal variance and covariance of rainfall (<span class="inline-formula"><i>R</i></span>), <span class="inline-formula"><i>E</i>₀</span>, <span class="inline-formula">Δ<i>S</i>,<i>Q</i>_m</span>, and <span class="inline-formula"><i>M</i></span>. …”
Get full text

Wet deposition of inorganic ions in 320 cities across China: spatio-temporal variation, source apportionment, and dominant factors by R. Li, L. Cui, Y. Zhao, Z. Zhang, T. Sun, J. Li, W. Zhou, Y. Meng, K. Huang, H. Fu, H. Fu, H. Fu

“…The influence of dust days, air temperature, and wind speed on ions increased from southeast China (SEC) to central China, and then to northwest China (NWC), whereas the influence of socioeconomic factors on acid ions (<span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M44" display="inline" overflow="scroll" dspmath="mathml"><mrow class="chem"><msubsup><mi mathvariant="normal">SO</mi><mn mathvariant="normal">4</mn><mrow><mn mathvariant="normal">2</mn><mo>-</mo></mrow></msubsup></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="29pt" height="17pt" class="svg-formula" dspmath="mathimg" md5hash="1351e966e04bfc1e60ff4784424cad14"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="acp-19-11043-2019-ie00012.svg" width="29pt" height="17pt" src="acp-19-11043-2019-ie00012.png"/></svg:svg></span></span> and <span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M45" display="inline" overflow="scroll" dspmath="mathml"><mrow class="chem"><msubsup><mi mathvariant="normal">NO</mi><mn mathvariant="normal">3</mn><mo>-</mo></msubsup></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="25pt" height="16pt" class="svg-formula" dspmath="mathimg" md5hash="afc29ccf929971927e195b135fd5e45c"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="acp-19-11043-2019-ie00013.svg" width="25pt" height="16pt" src="acp-19-11043-2019-ie00013.png"/></svg:svg></span></span>) displayed the higher value in east China.…”
Get full text

Wavelet regression: An approach for undertaking multi-time scale analyses of hydro-climate relationships by Jianhua Xu

“…Keywords: Wavelet regression, Multi-time scale analyses, Hydro-climate relationship, Northwest China…”
Get full text

An exploration of potential raw materials for prehistoric pottery production in the Tao River Valley, Gansu Province, China by Dammer, E, Hein, A, Spataro, M

“…Northwest China is known for its Majiayao-style Neolithic painted pottery which has received much praise for its high level of craftsmanship, yet its chain of production, in particular the step of raw material selection, is still poorly understood. …”