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934 results on '"Li, Jia‐Xin"'

9. Effects of four soil types on growth responses and nutrient stoichiometry in Phellodendron chinense seedlings

Author

Ren Hong-yu, He Min, Qian Wen-zhang, Li Jia-xin, Guo Zi-han, Zhuang Guo-qing, and Gao Shun

Subjects
soil type, traditional medicinal plant, plant development, nutrient distribution and accumulation, Forestry, SD1-669.5
Abstract

Phellodendron chinense is an extraordinary medicinal plant, and its stem bark is a famous traditional Chinese medicine in China, containing a number of phytochemicals with biological and pharmacological functions. Studies have shown that the medicinal ingredients in P. chinense from various regions are different, as soil types might be important factors affecting the growth and quality of P. chinense. In this study, the effects of acidic purple soil, alkaline purple soil, yellow soil and red soil on the growth, nutrient element accumulation and partitioning in P. chinense seedlings were studied. Our results showed that the biomass of leaves and stems in acidic purple soil was significantly higher than in other soils, and the root biomass was significantly lower than that in yellow soil. C, N, P and Ca contents cultured in acidic purple soil were the highest compared to other soils, and K and Mg content were the highest in yellow soil and red soil, respectively. The distribution of carbon between different organs can reflect environmental stress. N has become a limiting factor for the growth and development of P. chinense seedlings. C:N and C:P ratios in the leaves were significantly lower than those in the stem and roots. Among four soil types, the highest N:P ratio was 1.65 in P. chinense seedlings. These results suggest that four soil types may significantly affect the accumulation and distribution of biomass and nutrient elements in P. chinense seedlings. The characteristic patterns in different organs have different responses. Acidic purple soil is more suitable for the growth of P. chinense. These findings will help to understand the distribution characteristics and requirements of nutrient elements in P. chinense seedlings, and further provide a theoretical basis and reference for site selection and cultivation strategy.

Published
2024
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10. Prediction of Grain Porosity Based on GWO-BP Neural Network and Grain Compression Experiment

Author

CHEN Jia-hao, LI Jia-xin, ZHENG De-qian, YIN Jun, HUANG Hai-rong, GE Meng-meng, and ZHANG Jia-yi

Subjects
gwo-bp model, grain porosity, compression test, prediction, Food processing and manufacture, TP368-456, Nutrition. Foods and food supply, TX341-641
Abstract

Porosity is a key parameter that affects the heat and moisture transfer within a grain pile. In order to investigate the distribution law of porosity in bulk grain piles in grain silos, grain compression experiment was carried out to obtain the porosity of different grain types under different moisture content and vertical pressure conditions. A porosity prediction model for grain cell based on GWO-BP neural network was proposed, and the model was compared with the porosity prediction results of BP neural network model and random forest model. Finally, the generalization ability of the model was verified using the grain cell box test. The results showed that the porosity prediction performance of the GWO-BP neural network model was the best, and the evaluation indexes of the model, including R2 of 0.960 5, RMSE of 0.013 7 and MAE of 0.013 1, were all within the permissible range. This study has provided a neural network prediction method for the determination of grain porosity, which could provide an important foundation for in-depth multi-field coupling analysis of grain piles and theoretical support for safe grain storage.

Published
2024
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12. Van der Waals heterostructure mid-infrared emitters with electrically controllable polarization states and spectral characteristics

Author

Chen, Po-Liang, Chang, Tian-Yun, Chen, Pei-Sin, Chan, Alvin Hsien-Yi, Rosyadi, Adzilah Shahna, Lin, Yen-Ju, Huang, Pei-Yu, Li, Jia-Xin, Li, Wei-Qing, Hsu, Chia-Jui, Na, Neil, Lee, Yao-Chang, Ho, Ching-Hwa, and Liu, Chang-Hua

Subjects
Physics - Optics, Condensed Matter - Materials Science
Abstract

Modern infrared (IR) microscopy, communication, and sensing systems demand control of the spectral characteristics and polarization states of light. Typically, these systems require the cascading of multiple filters, polarization optics and rotating components to manipulate light, inevitably increasing their sizes and complexities. Here, we report two-terminal mid-infrared (mid-IR) emitters with electrically controllable spectral and polarization properties. Our devices are composed of two back-to-back p-n junctions formed by stacking anisotropic light-emitting materials, black phosphorus and black arsenic-phosphorus with MoS2. By controlling the crystallographic orientations and engineering the band profile of heterostructures, the emissions of two junctions exhibit distinct spectral ranges and polarization directions; more importantly, these two electroluminescence (EL) units can be independently activated, depending on the polarity of the applied bias. Furthermore, we show that when operating our emitter under the polarity-switched pulse mode, its EL exhibits the characteristics of broad spectral coverage, encompassing the entire first mid-IR atmospheric window, and electrically tunable spectral shapes. Our results provide the basis for developing groundbreaking technology in the field of light emitters.

Published
2022

30. Study on the Preparation of V-type Porous Starch with High Oil Absorption Capacity

Author

MENG Yue, CHANG Qing, LIANG Xiao-li, LI Jia-xin, JIN Zheng-yu, and ZHOU Xing

Subjects
v-type granular starch, aqueous-ethanol heat treatment, ethanol-phase enzymatic hydrolysis, v-type porous starch, oil absorption capacity, Food processing and manufacture, TP368-456, Nutrition. Foods and food supply, TX341-641
Abstract

In this research, V-type porous starch (VPS) with high oil absorption capacity was obtained by enzymatic hydrolysis of V-type granular starch (VGS) in ethanol aqueous solution. Firstly, the reaction condition of V-type granular starch (VGS) was optimized with oil absorption capacity and V-type crystal crystallinity as indexes. In 50% ethanol, aqueous solution the oil absorption capacity of VGS obtained by reaction 100 ℃ was the highest (176.23%). Then, the influence of enzymatic hydrolysis time, temperature and speed on the degree of hydrolysis, yield and oil absorption capacity of VPS were investigated. The optimal preparation conditions of VPS were obtained through single factor and orthogonal experiments: enzymatic hydrolysis time 4 h, temperature 25 ℃, and enzymatic hydrolysis speed 300 r/min. The oil absorption capacity of the optimal VPS was the highest (550.28%). Finally, the difference in the crystalline structure, granular morphology, specific surface area and bulk density were compared among normal maize starch (NMS), traditional A-type porous starch, VGS and VPS. VPS exhibited a unique sponge shaped irregular dense honeycomb structure, the highest specific surface area (39.94 m2/g) and the lowest bulk density (0.19 g/cm3), which were the reasons for its higher oil absorption capacity.

Published
2023
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37. Research progress on monitoring and management of iron nutrition level in women during menstruation

Author

LI Jia-xin, CAI Yan

Subjects
multiparous, iron deficiency, iron-deficiency anemia, iron status, monitor, postpartum management, Medicine
Abstract

Iron deficiency is the most common malnutrition problem in the world. Iron plays a vital role in fetal growth and maternal health. The blood volume increases significantly during pregnancy to meet the iron needs of fetus for the normal growth and development. Iron deficiency anemia (IDA) is most likely to occur at this time. With the opening of “two-child” and “three-child” policies, the proportion of births has increased year by year. The maternal and child health of the second child has attracted much attention, so the monitoring and management of maternal health during pregnancy is particularly important. This paper reviews the research on iron nutrition level of pregnant women in China and abroad in recent years, aiming to provide guidance for the prevention, diagnosis and postpartum recovery of iron deficiency anemia in pregnant women.

Published
2023
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38. Black phosphorus van der Waals heterostructures light emitting diodes for mid-infrared silicon photonics

Author

Chang, Tian-Yun, Chen, Yueyang, Luo, De-In, Li, Jia-Xin, Chen, Po-Liang, Lee, Seokhyeong, Fang, Zhuoran, Li, Wei-Qing, Zhang, Ya-Yun, Li, Mo, Majumdar, Arka, and Liu, Chang-Hua

Subjects
Physics - Applied Physics, Condensed Matter - Materials Science
Abstract

Light-emitting diodes (LEDs) based on III-V/II-VI materials have delivered a compelling performance in the mid-infrared (mid-IR) region, which enabled wide-ranging applications, including environmental monitoring, defense and medical diagnostics. Continued efforts are underway to realize on-chip sensors via heterogeneous integration of mid-IR emitters on a silicon photonic chip. But the uptake of such approach is limited by the high costs and interfacial strains, associated with the process of heterogeneous integrations. Here, the black phosphorus (BP)-based van der Waals (vdW) heterostructures are exploited as room temperature LEDs. The demonstrated devices can emit linearly polarized light, and their spectra cover the technologically important mid-IR atmospheric window (3-4 um). Additionally, the BP LEDs exhibit fast modulation speed as well as exceptional stability, and its peak extrinsic quantum efficiency (QE~0.9%) is comparable to the III-V/II-VI mid-IR LEDs. By leveraging the integrability of vdW heterostructures, we further demonstrate a silicon photonic waveguide-integrated BP LED. The reported hybrid platform holds great promise for mid-IR silicon photonics., Comment: 12 pages, 4 figures

Published
2020

43. Association between long-term green space exposure and mortality in China: A difference-in-differences analysis of national data in 2000, 2010 and 2019

Author

Li, Cong-Cong, Du, Zhi-Cheng, Fan, Shu-Jun, Mute Browning, Matthew H.E., Knibbs, Luke D., Bloom, Michael S., Zhao, Tian-Yu, Jalaludin, Bin, Heinrich, Joachim, Liu, Xiao-Xuan, Li, Jia-Xin, Zhang, Yi-Dan, Hu, Li-Xin, Xiang, Ming-Deng, Chen, Gong-Bo, Wang, Qing, Han, Chun-Lei, Li, Shan-Shan, Guo, Yu-Ming, Dadvand, Payam, Dong, Guang-Hui, Zhang, Zhou-Bin, and Yang, Bo-Yi

Published
2023
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