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| 1 | Effects of Nitrogen Rate and Split Application Ratio on Nitrogen Use and Soil Nitrogen Balance in Cotton Fields显示文摘The Yellow River valley is one of the three largest cotton production areas in China.An experiment was performed in cotton fields of Anyang,China from 2013 to 2014 to investigate the effects of nitrogen(N) application rate and the ratio between basal and topdressing N fertilizer on N balance in a soil-plant system,N use efficiency,and cotton yield.Five N application rates as treatments were applied with the same split application ratio.Half of the N(50% basal fertilizer) was applied at pre-planting and the other half(50% topdressing fertilizer) at the initial flowering stage.These treatments were:zero N(N0,control),90 kg N ha^(-1)(N90(5/5)),180 kg N ha^(-1)(N180(5/5)),270 kg N ha^(-1)(N270(5/5),a reduced N rate),and 360 kg N ha^(-1)(N360(5/5),a conventional N rate).Additional 2 split application ratios as treatments were applied with the same N rate of 270 kg N ha^(-1).The split application ratios between basal N and topdressing N were 30%:70%(N270(3/7)) and 70%:30%(N270(7/3)).Results demonstrated that soil NH_4-N content in the 0–60 cm layer and NO3-N content in the 0–20 cm layer increased with increased N rate at the squaring and boll-opening stages and then decreased to lower levels at the initial flowering and harvest stages.Soil NO_3-N content in the 20–60 cm layer after the initial flowering stage increased with the increase of topdressing N rate.Soil apparent N surplus varied at different growth stages,while the soil apparent N surplus over the entire growth period exhibited a positive relationship at N rates over 180 kg ha^(-1).Seed cotton yield of N270(3/7) was the highest of all treatments.Plant N uptake,N agronomic efficiency,and apparent N recovery efficiency of N270(3/7) were significantly higher than those of N270(5/5) and N270(7/3) in both growing seasons.These suggest both economic and ecological benefits in cotton production in the Yellow River valley could be created,by appropriately reducing total N application rate and increasing the ratio of topdressing to basal N fertilizer at the initial flowering stage. | LI Pengcheng DONG Helin LIU Aizhong LIU Jingran SUN Miao LI Yabing LIU Shaodong ZHAO Xinhua MAO Shuchun | 2017 | Pedosphere2017，27，4： | 7 |
| 2 | Preparation and photoelectrochemical performance of TiO_2/Ag_2Se interface composite film显示文摘Coupling TiO2 with a narrow band gap semiconductor acting as the photosensitizer has attracted much attention in solar energy exploitation. In this work,the porous TiO2 film was first formed on the conducting glass plate (CGP) substrate by the decomposition of polyethylene glycol (PEG) mixing in titanium hydroxide sol at 450℃. Then,the TiO2/Ag2Se interface composite film was fabricated by interface reaction of AgNO3 with NaSeSO3 on the activated surface of porous TiO2 film. The results of SEM and XRD analyses indicated that the porous TiO2 layer was made up of the anatase crystal,and the Ag2Se layer was made up of congregative small particles that have low-temperature α-phase structure. Due to its efficient charge separation for the photo-induced electron-hole pairs,the TiO2/Ag2Se interface composite film as-prepared has good photovoltaic property and high photocurrent response for visible light,which have been confirmed by the photoelectrochemical measurements. | ZHAO JuanJuan,JIANG BangTong,ZHANG ShengYi,NIU HeLin,JIN BaoKang & TIAN YuPeng Department of Chemistry,Anhui University,Hefei 230039,China | 2009 | Science China Chemistry2009，52，12： | 3 |
| 3 | Tumor-associated macrophages in osteosarcoma显示文摘Osteosarcoma(OS)is the most common primary bone tumor in children and adolescents.It is an aggressive tumor with a tendency to spread to the lung,which is the most common site of metastasis.Patients with advanced OS with metastases have poor prognoses despite the application of chemotherapy,thus highlighting the need for novel therapeutic targets.The tumor microenvironment(TME)of OS is confirmed to be essential for and supportive of tumor growth and dissemination.The immune component of the OS microenvironment is mainly composed of tumor-associated macrophages(TAMs).In OS,TAMs promote tumor growth and angiogenesis and upregulate the cancer stem cell-like phenotype.However,TAMs inhibit the metastasis of OS.Therefore,much attention has been paid to investigating the mechanism of TAMs in OS development and the progression of immunotherapy for OS.In this article,we aim to summarize the roles of TAMs in OS and the major findings on the application of TAMs in OS treatment. | Yi ZHAO Benzheng ZHANG Qianqian ZHANG Xiaowei MA Helin FENG | 2021 | Journal of Zhejiang University-Science B(Biomedicine & Biotechnology)2021，22，11： | 1 |
| 4 | Immunomodulatory hybrid bio-nanovesicle for self-promoted photodynamic therapy显示文摘Thylakoid(Tk)membranes are of unique superiority in photodynamic therapy(PDT)because they not only carry abundant chlorophylls containing photosensitizer porphyrin but also can produce O_(2).However,the current therapeutic performance of Tk is dramatically limited because of their poor tumor targeting and inefficient O_(2) production.Here,we report an immunomodulatory bio-nanovesicle of Tk membranes fused with M1 macrophage-derived extracellular vesicles(M1 EV)for efficient PDT of tumors.The hybrid nanovesicle Tk@M1 was prepared by squeezing the Tk membranes of spinach with M1 EV.The systemic study confirmed that Tk@M1 can not only actively accumulate in tumors but also effectively regulate the inactive immune microenvironment of tumors.Such activated'hot'tumors significantly enhance the PDT efficacy of Tk@M1 attributed to the increased O_(2) from catalase catalyzed decomposition of augmented H_(2)O_(2),providing a novel idea about constructing natural systems for effective tumor treatment. | Houli Liu Yao Lei Weidong Nie Helin Zhao Yuzhu Wu Liping Zuo Guanghao Wu Ruili Yang Hai-Yan Xie | 2022 | Nano Research2022，15，5： | 1 |
| 5 | Effects of deposition temperature on electrodeposition of zinc–nickel alloy coatings显示文摘 | Xiaoping Qiao Helin Li Wenzhen Zhao Dejun Li | 2013 | Electrochimica Acta2013，，： | 1 |
| 6 | Mo-based perpendicularly magnetized thin films with low damping for fast and low-power consumption magnetic memory显示文摘Perpendicular magnetic anisotropy-based magnetic tunnel junctions(p-MTJs) with low Gilbert damping constant(α) are of particular interest for fast and low-power consumption magnetic random-access memory(MRAM). However, obtaining a faster switching speed and lower power consumption is still a big challenge. Herein, we report a Mo-based perpendicular double free layer structure with a low Gilbert damping constant of 0.02 relative to W-based films, as measured by time-resolved magnetooptical Kerr effect equipment. To show the influence of different film structures on the Gilbert damping constant, we measured the Mo-based single free layer. Thereafter, we deposited the full stacks with the Mo-based double free layer and obtained a high tunneling magnetoresistance of 136.3% and high thermal stability. The results of high-resolution transmission electron microscopy(HR-TEM) and energy-dispersive X-ray spectroscopy(EDS) showed that the Mo-based films had better crystallinity,sharper interfaces, and weaker diffusion than the W-based films and thus produced a weaker external contribution of the Gilbert damping constant. As a result of the weak spin-orbit coupling in the Mo-based structure, the intrinsic contribution of the Gilbert damping constant was also weak, thereby leading to the small Gilbert damping constant of the Mo-based stacks. In addition, the macro-spin simulation results demonstrated that the magnetization switching by the spin transfer torque of the Mo-based MTJs was faster than that of the W-based MTJs. These findings help to understand the mechanism behind the good performance of Mo-based p-MTJ films and show the great promise of these structures in low-power consumption MRAM or other spintronic devices. | Houyi Cheng Boyu Zhang Yong Xu Shiyang Lu Yuxuan Yao Rui Xiao Kaihua Cao Yongshan Liu Zilu Wang Renyou Xu Danrong Xiong Yan Wang Helin Ma Sylvain Eimer Chao Zhao Weisheng Zhao | 2022 | Science China(Physics,Mechanics & Astronomy)2022，65，8： | 0 |
| 7 | Affinity-Engineered Flexible Scaffold toward Energy-Dense, Highly Reversible Na Metal Batteries显示文摘The practical deployment of metallic anodes in the energy-dense batteries is impeded by the thermodynamically unstable interphase in contact with the aprotic electrolyte,structural collapse of the substrates as well as their insufficient affinity toward the metallic deposits.Herein,the mechanical flexible,lightweight(1.2 mg cm^(−2))carbon nanofiber scaffold with the monodispersed,ultrafine Sn_(4)P_(3) nanoparticles encapsulation(Sn_(4)P_(3)NPs@CNF)is proposed as the deposition substrate toward the high-areal-capacity sodium loadings up to 4 mAh cm^(−2).First-principles calculations manifest that the alloy intermediates,namely the Na_(15)Sn_(4) and Na_(3)P matrix,exhibit the intimate Na affinity as the“sodiophilic”sites.Meanwhile,the porous CNF regulates the heterogeneous alloying process and confines the deposit propagation along the nanofiber orientation.With the precise control of pairing mode with the NaVPO4F cathode(8.7 mg cm^(−2)),the practical feasibility of the Sn_(4)P_(3) NPs@CNF anode(1^(*)Na excess)is demonstrated in 2 mAh single-layer pouch cell prototype,which achieves the 95.7%capacity retention for 150 cycles at various mechanical flexing states as well as balanced energy/power densities. | Yujie Liu Miao Bai Dou Du Xiaoyu Tang Helin Wang Min Zhang Ting Zhao Fu Liu Zhiqiao Wang Yue Ma | 2023 | Energy & Environmental Materials2023，6，2： | 0 |
| 8 | Anomaly Detection of Multivariate Time Series Based on Metric Learning显示文摘Most of the current methods for anomaly detection in time series are unsupervised.However,unsupervised learning assumes the distribution of the data and cannot obtain satisfactory results in some scenarios.In this paper,we design a semisupervised time series anomaly detection algorithm based on metric learning.The algorithm model mines the features in the time series from the perspectives of the time domain and frequency domain.Furthermore,we design a loss function for anomaly detection.Different from the two-class loss function,in the scenario of the loss function we designed,the normal data will be clustered and distributed in the embedding space,and the abnormal data will be far from the normal data distribution.Furthermore,we extend our designed metric learning model to a semisupervised learning model,extending the labeled dataset with the unlabeled dataset by setting different confidence levels.We conduct experiments on different public datasets and compare them with commonly used time series anomaly detection algorithms.The results show that our model has a good effect.At the same time the semisupervised setting does improve the accuracy of model detection. | Hongkai Wang Jun Feng Liangying Peng Sichen Pan Shuai Zhao Helin Jin | 2022 | 国际计算机前沿大会会议论文集2022，，1： | 0 |
| 9 | Leptin promotes proliferation and invasion of osteosarcoma cells by upregulating the expression of SIRT1显示文摘Osteosarcoma(OS)is a primary high-grade malignant bone neoplasm,and the prognosis ofOS remains poor due to early metastasis.Leptin plays an essential role in tumorigenesis,but the role of leptin in the development of OS is still not fully understood.In this study,we used a human osteosarcomaMG-63 cell line as an experimentalmodel.MG-63 cells were treated with leptin,and cell proliferation,apoptosis,adhesion,invasion,and gene expression,were evaluated.The results showed that leptin promoted proliferation,decreased adhesion,suppressed apoptosis,and promoted invasion,of MG-63 cells.Moreover,the expression of SIRT1 was upregulated in MG-63 cells exposed to leptin.Furthermore,MMP-2,8,and 9 were significantly upregulated by SIRT1,while SIRT1 knockdown inhibited the proliferation and invasion of MG-63 cells.In conclusion,our results suggest that leptin promotes OS cell proliferation and invasion by inducing the expression of SIRT1. | HELIN FENG XIAOCHONG ZHANG QIANQIAN ZHANG ZE LI LILI ZHAO | 2020 | BIOCELL2020，44，3： | 0 |
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