Institution
Hengyang Normal University
Education•Hengyang, China•
About: Hengyang Normal University is a education organization based out in Hengyang, China. It is known for research contribution in the topics: Graphene & Adsorption. The organization has 1087 authors who have published 1280 publications receiving 13850 citations. The organization is also known as: Hengyang Teachers' College & Héngyáng Shīfàn Xuéyuàn.
Topics: Graphene, Adsorption, Nonlinear system, Catalysis, Qubit
Papers published on a yearly basis
Papers
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TL;DR: In this article, the transport properties of the supramolecular spin valves made of ferrocene and pristine (p-type or n-type) graphene nanoribbons were investigated.
18 citations
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TL;DR: Intervention to enhance self-compassion and reduce fate thinking may be beneficial to mental health in impoverished undergraduates.
Abstract: The ability of self-compassion and Confucian coping to predict anxiety and depression were examined in impoverished Chinese undergraduate students. Three hundred and thirty impoverished undergraduates completed measures of self-compassion, Confucian coping, depression, and anxiety. Results showed that higher self-compassion predicted lower depression and anxiety in impoverished undergraduates. Higher pro-setback thinking and responsibility thinking of Confucian coping were related with lower depression and anxiety. Higher fate thinking of Confucian coping was related with higher depression and anxiety. The predictive ability for depression and anxiety of self-compassion combined with fate thinking was better than self-compassion alone. Intervention to enhance self-compassion and reduce fate thinking may be beneficial to mental health in impoverished undergraduates.
18 citations
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TL;DR: Pot experiments in rice were conducted to characterize the effects of four types of foliar-applied Fe fertilizer on photosynthetic capacity, antioxidant ability, yield, and Cd accumulation in Cd-contaminated soil, and application of moderate doses of chelated ferrous Fe was the most effective method for reducing Cd uptake and toxicity.
Abstract: Iron (Fe) fertilizer can reduce cadmium (Cd) uptake and toxicity in rice, but the underlying mechanisms of Cd mitigation by different fertilizers are poorly understood. Here, pot experiments in rice were conducted to characterize the effects of four types of foliar-applied Fe fertilizer (chelated ferrous Fe, ferric Fe, ionic ferrous Fe, and ferric Fe) at three doses (20, 50, and 100 mg L−1) on photosynthetic capacity, antioxidant ability, yield, and Cd accumulation in Cd-contaminated soil. The results showed that foliar Fe application increased the net photosynthesis rate by 19.3%, peroxidase (POD) by 18.2%, superoxide dismutase (SOD) by 26.9%, and catalase (CAT) by 19.6%, and led to a 7.2% increase in grain yield compared with the control. Moreover, foliar Fe application significantly reduced Cd accumulation by 15.9% in brown rice and decreased the translocation of Cd from roots to other plant tissues. Overall, application of moderate doses (50 mg L−1) of chelated ferrous Fe was the most effective method for reducing Cd uptake (decreasing the Cd concentration in brown rice by 29.0%) and toxicity in rice (decreasing malondialdehyde by 23.2% and increasing POD, SOD, and CAT by 54.4%, 51.6%, and 45.7%, respectively), which may stem from the fact that chelated ferrous Fe was a more stable and bioavailable source of Fe for rice. The Cd concentration in rice had negative relationship with Fe concentration, and the translocation of Cd from root to the other tissues was reduced by the higher Fe nutrition status in leaf, suggesting that a high Fe supply may decrease Cd content by inhibiting the expression of the Fe transport system. These results indicate that foliar application of chelated ferrous Fe provides a promising alternative approach for enhancing growth and controlling Cd accumulation in rice plants. Furthermore, these results advance our understanding of the associations between plant Fe nutrition status and Cd accumulation.
18 citations
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TL;DR: In this article, the corrosion behavior of different planes of a selective laser-melted (SLM) equimolar CrCoNi medium-entropy alloy (MEA) was investigated and compared with its counterpart cast alloy in a 3.5-wt% NaCl solution.
18 citations
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TL;DR: Results show both the two Helicoverpa species have a preference hierarchy for host plants, and provide additional evidence supporting the neural constraints hypothesis which predicts that generalist herbivores make less accurate decisions than specialists when selecting plants.
Abstract: Herbivorous insects have been categorized as generalists or specialists depending on the taxonomic relatedness of the plants they use as food or oviposition substrates. The plasticity in host plant selection behavior of species belonging to the two categories received little attention. In the present work, fifth instar caterpillars of the generalist herbivore Helicoverpa armigera and its closely related species, the specialist Helicoverpa assulta, were fed on common host plants or artificial diet, after which their feeding preference was assessed individually by using dual - and triple- plant choice assays. Results show both the two Helicoverpa species have a preference hierarchy for host plants. Compared to the fixed preference hierarchy of the specialist H. assulta, the generalist H. armigera exhibited extensive plasticity in feeding preference depending on the host plant experienced during larval development. Whereas the specialist H. assulta exhibited a rigid preference in both dual and triple-plant choice assays, our findings demonstrate that the generalist H. armigera expressed stronger preferences in the dual-plant choice assay than in the triple-plant choice assay. Our results provide additional evidence supporting the neural constraints hypothesis which predicts that generalist herbivores make less accurate decisions than specialists when selecting plants.
18 citations
Authors
Showing all 1097 results
Name | H-index | Papers | Citations |
---|---|---|---|
Jian Liu | 117 | 2090 | 73156 |
Jin-Heng Li | 44 | 227 | 5749 |
He-Xiu Xu | 37 | 93 | 3620 |
Wei Zhou | 35 | 191 | 4238 |
Lixin Xiao | 33 | 186 | 5300 |
Xiaohui Ling | 31 | 90 | 3197 |
Junhua Li | 28 | 77 | 2205 |
Shan Zou | 27 | 91 | 2894 |
Xiaojiang Peng | 23 | 73 | 2860 |
Ying Yan | 21 | 69 | 1163 |
Zhifeng Xu | 21 | 34 | 1490 |
Fulong Chen | 20 | 72 | 1009 |
Zhifeng Yang | 20 | 34 | 1923 |
Man-Sheng Chen | 20 | 29 | 1568 |
Lei Wang | 19 | 158 | 1466 |