Littérature scientifique sur le sujet « Hebei lin xue yuan »

Créez une référence correcte selon les styles APA, MLA, Chicago, Harvard et plusieurs autres

Choisissez une source :

Consultez les listes thématiques d’articles de revues, de livres, de thèses, de rapports de conférences et d’autres sources académiques sur le sujet « Hebei lin xue yuan ».

À côté de chaque source dans la liste de références il y a un bouton « Ajouter à la bibliographie ». Cliquez sur ce bouton, et nous générerons automatiquement la référence bibliographique pour la source choisie selon votre style de citation préféré : APA, MLA, Harvard, Vancouver, Chicago, etc.

Vous pouvez aussi télécharger le texte intégral de la publication scolaire au format pdf et consulter son résumé en ligne lorsque ces informations sont inclues dans les métadonnées.

Articles de revues sur le sujet "Hebei lin xue yuan"

1

Xu Lihua. « The Song Dynasty Gagaku songs creation of Han-Lin-Xue-Shi-Yuan ». Journal of Chinese Language and Literature ll, no 63 (août 2013) : 51–78. http://dx.doi.org/10.15792/clsyn..63.201308.51.

Texte intégral
Styles APA, Harvard, Vancouver, ISO, etc.
2

Chao, Xue-lin, Shu-zhen Jiang, Jian-wen Xiong, Jin-qiong Zhan, Bo Wei, Chun-nuan Chen et Yuan-jian Yang. « Erratum to : Changes of Serum Insulin-like Growth Factor-2 Response to Negative Symptom Improvements in Schizophrenia Patients Treated with Atypical Antipsychotics ». Current Medical Science 40, no 5 (octobre 2020) : 997. http://dx.doi.org/10.1007/s11596-020-2256-3.

Texte intégral
Résumé :
The article “Changes of Serum Insulin-like Growth Factor-2 Response to Negative Symptom Improvements in Schizophrenia Patients Treated with Atypical Antipsychotics”, written by Xue-lin CHAO, Shu-zhen JIANG, Jian-wen XIONG, Jin-qiong ZHAN, Bo WEI, Chun-nuan CHEN, Yuan-jian YANG was originally published electronically on the publisher’s internet portal on June 2020 without open access. With the author(s)’ decision to opt for Open Choice, the copyright of the article is changed to © The Author(s) 2020 and the article is forthwith distributed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Styles APA, Harvard, Vancouver, ISO, etc.
3

Zhou, Lin, Jianguo Sun, Conghua Xie, Youling Gong, Meijuan Huang, Zhiyong Yuan, Lin Wu et al. « Abstract CT219 : Efficacy and safety of Low dose radiotherapy (LDRT) concurrent Atezolizumab (Atezo) plus chemotherapy as first line (1L) therapy for ES-SCLC : Primary analysis of Phase II MATCH study ». Cancer Research 83, no 8_Supplement (14 avril 2023) : CT219. http://dx.doi.org/10.1158/1538-7445.am2023-ct219.

Texte intégral
Résumé :
Abstract Background: The IMpower133 represented the current standard of care in the 1L setting for patients (pts) with ES-SCLC (extensive-stage small cell lung cancer). However, there are still unmet needs for ES-SCLC treatment. LDRT could play a key role in the priming effect of immune system by acting as an immune adjuvant and having sensitive cytotoxic activity to SCLC. The interim analysis of MATCH study after stage I showed promising benefit and tolerability of combination of Atezo + chemotherapy + LDRT in pts with ES-SCLC. Here we report the primary efficacy and safety results of this study. Methods: The MATCH study was a single-arm phase II trial conducted in 8 centers across China. Previously untreated ES-SCLC pts with measureable disease per RECIST v1.1 at baseline, age≥18, ECOG 0-1 were eligible. Atezo (1200 mg IV, D1) + Cisplatin (75 mg/m2 IV, D1)/Carboplatin (AUC = 5 IV, D1) +Etoposide (100 mg/m2 IV, D1-D3) were administrated on a 21-day cycle for four cycles. Concurrent LDRT (15 Gy/5f) were conducted from D1-D5 in the first cycle. Then pts received Atezo maintenance until loss of clinical benefit or unacceptable toxicity. The primary endpoint was objective response rate (ORR), defined as the proportion of patients with a complete response or partial response on two consecutive occasions ≥ 4 weeks apart, as determined by the investigator according to RECIST v1.1. The secondary endpoints included disease control rate (DCR), progression-free survival (PFS), overall survival (OS) and safety. A Simon’s minimax 2-stage design was adopted. Results: As the cutoff date of 30th Nov. 2022, 56 pts have been enrolled. 49 (87.5%) were males; mean age was 58.9 years with 78.6% pts had ECOG PS of 1. 80.4% pts had smoking history. Most pts were staged T4 (n = 33, 58.9%), N3 (n = 37, 66.1%) and M1(n = 40, 71.4%). Median follow-up was 14.8 months (range: 11.6-17.8 m). The confirmed ORR was 87.5% (95% CI: 75.9%-94.8%), all partial response. DCR was 94.6% (95% CI: 85.1%-98.9%). Median PFS was 6.9 m (95% CI: 5.4-9.3 m). The 6-month and 12-month PFS rate were 56.5% and 27.7%. Median OS was not reached (NR, 95% CI: 13.3m, NR). The 12-month OS rate was 71.9%. The safety profile, analyzed in all 56 pts, was consistent with the previous reports. Neutrophil count decreased (60.7%), white blood cell count decreased (58.9%) and platelet count decreased (23.2%) were the most common grade (G) 3-4 adverse events (AE). G5 AE occurred in 1 pt (pneumonia and pulmonary embolism). 4 pts experienced AEs leading to treatment discontinuation. IrAEs were reported in 21 (37.5%) pts, most common irAEs were hyperthyroidism (5.4%) and rash (5.4%). Radiation pneumonitis (G1) was observed in 1 pt. Conclusions: Adding LDRT to Atezo + chemotherapy shows impressive antitumor activity, potential survival benefit and well tolerability in 1L treatment of ES-SCLC. Clinical registration: NCT04622228. Citation Format: Lin Zhou, Jianguo Sun, Conghua Xie, Youling Gong, Meijuan Huang, Zhiyong Yuan, Lin Wu, Hui Wang, Nan Bi, Yaping Xu, Jiang Zhu, Yongmei Liu, Yan Zhang, Min Fan, Bingwen Zou, Min Yu, Yanying Li, Feifei Na, Weigang Xiu, Yong Xu, Jin Wang, Xuanwei Zhang, Jianxin Xue, You Lu. Efficacy and safety of Low dose radiotherapy (LDRT) concurrent Atezolizumab (Atezo) plus chemotherapy as first line (1L) therapy for ES-SCLC: Primary analysis of Phase II MATCH study [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 2 (Clinical Trials and Late-Breaking Research); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(8_Suppl):Abstract nr CT219.
Styles APA, Harvard, Vancouver, ISO, etc.
4

Li, Ziteng, Yuhan Cao, Xianglong Meng, Bo Li, Pengbo Dai, Xusheng Zhao, Tongle Hu, Shutong Wang, Keqiang Cao et Yanan Wang. « Malus asiatica as a natural host of apple scar skin viroid in China ». Plant Disease, 20 juillet 2022. http://dx.doi.org/10.1094/pdis-04-22-0827-pdn.

Texte intégral
Résumé :
Malus asiatica (Rosaceae, Malus) is a small deciduous tree, which has been cultivated in China more than 450 years (Jin, 2019). M. asiatica is deeply favored by consumers because of its sweet taste and high nutritional attributes, rich in vitamins, minerals and dietary fiber (Xue et al, 2013). Although the M. asiatica annual output is nearly 30 000 kg, it still cannot meet the market demand in China (Jin, 2019). In August 2021, the virus-like symptom such as colored spots on fruit epidermis of M. asiatica were observed in an orchard of Langfang (38°42′16.88″N, 116°39′15.23″E) of Hebei province, China. To investigate whether this symptom is related to virus infection, the symptomatic sample was subjected to small RNA sequencing. Total RNA was extracted from branch bark of a symptomatic tree using an RNAprep Pure Plant Kit (TianGen, China), The extracted RNA was used to construct a small RNA library using NEBNext® Multiplex Small RNA Library Prep Set for Illumina® (Set 1), (NEB, USA), then the resulting library was sequenced using Illumina novoseq 6000 (Illumina, USA) at Tianjin Novogene company (China). A total of 14,685,616 sequence reads were obtained. After filtering the low-quality reads, polyA, adaptor contaminants, fragments < 18 nt and > 26 nt, and reads matching apple genome, the number of reads reduced to 392,883. Finally, assembly of these clean reads generated 225 non-redundant contigs with Velvet software and 55 assembled contigs were aligned to Refseq viral database of NCBI by Bowtie software. One viral contig with length of 329 nt showed 98.48% significant similarity to genome sequences of Hohhot isolate of ASSVd (ASSVd-Hohhot) (GenBank Accession No. MZ476527.1) (Yuan et al, 2022). We then used a specific primer pair (ASSVd-F: 5’-G G T A A A C A C C G T G C G G T T C C-3’; ASSVd-R: 5‘-G G G A A A C A C C A A T T G T G T T T T A-3’) for reverse transcription (RT)-PCR to amplify the genome sequence of ASSVd. A 330 bp amplified product was cloned into the pGEM-T easy vector (Promega, USA), then sequenced by Sanger sequencing using T7 primer by Sangon Biotech (Shanghai) Co., Ltd. in China. The sequence of ASSVd has been deposited in the GenBank datebase (GenBank Accession No. ON093255). Blast analysis showed that the sequence had highest identity (326/330, 98.79%) with ASSVd-Hohhot (GenBank Accession No. MZ476527.1) (Yuan et al, 2022). To confirm the pathogenicity of ASSVd, fifteen healthy cucumber seedlings were inoculated mechanically with the extracts of ASSVd-infected branch bark of M. asiatica. There were no obvious symptoms were observed at 14 days post inoculation (dpi), however, the result of RT-PCR and Sanger sequencing showed four cucumber samples were positive for ASSVd. In addition, another 19 randomly collected M. asiatica samples with or without clear symptoms from Langfang were detected by RT-PCR, and ten (52.6%) of them were confirmed the presence of ASSVd. And all ten positive samples were symptomatic, while nine nonsymptomatic M. asiatica samples tested negative. The positive amplicons were cloned into the pGEM-T easy vector and sequenced using T7 primer by Sanger sequencing. All of the sequences were essentially identical to one another (GenBank Accession No. ON093255), which indicates that the positive samples are indeed ASSVd infected. To the best of our knowledge, this is the first report of ASSVd infection in M. asiatica, which expands our understanding of the host range of ASSVd.
Styles APA, Harvard, Vancouver, ISO, etc.
5

Thinh, Nguyen Hong, Tran Hoang Tung et Le Vu Ha. « Depth-aware salient object segmentation ». VNU Journal of Science : Computer Science and Communication Engineering 36, no 2 (7 octobre 2020). http://dx.doi.org/10.25073/2588-1086/vnucsce.217.

Texte intégral
Résumé :
Object segmentation is an important task which is widely employed in many computer vision applications such as object detection, tracking, recognition, and retrieval. It can be seen as a two-phase process: object detection and segmentation. Object segmentation becomes more challenging in case there is no prior knowledge about the object in the scene. In such conditions, visual attention analysis via saliency mapping may offer a mean to predict the object location by using visual contrast, local or global, to identify regions that draw strong attention in the image. However, in such situations as clutter background, highly varied object surface, or shadow, regular and salient object segmentation approaches based on a single image feature such as color or brightness have shown to be insufficient for the task. This work proposes a new salient object segmentation method which uses a depth map obtained from the input image for enhancing the accuracy of saliency mapping. A deep learning-based method is employed for depth map estimation. Our experiments showed that the proposed method outperforms other state-of-the-art object segmentation algorithms in terms of recall and precision. KeywordsSaliency map, Depth map, deep learning, object segmentation References[1] Itti, C. Koch, E. Niebur, A model of saliency-based visual attention for rapid scene analysis, IEEE Transactions on pattern analysis and machine intelligence 20(11) (1998) 1254-1259.[2] Goferman, L. Zelnik-Manor, A. Tal, Context-aware saliency detection, IEEE transactions on pattern analysis and machine intelligence 34(10) (2012) 1915-1926.[3] Kanan, M.H. Tong, L. Zhang, G.W. Cottrell, Sun: Top-down saliency using natural statistics, Visual cognition 17(6-7) (2009) 979-1003.[4] Liu, Z. Yuan, J. Sun, J. Wang, N. Zheng, X. Tang, H.-Y. Shum, Learning to detect a salient object, IEEE Transactions on Pattern analysis and machine intelligence 33(2) (2011) 353-367.[5] Perazzi, P. Krähenbühl, Y. Pritch, A. Hornung, Saliency filters: Contrast based filtering for salient region detection, in: Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on, IEEE, 2012, pp. 733-740.[6] M. Cheng, N.J. Mitra, X. Huang, P.H. Torr, S.M. Hu, Global contrast based salient region detection, IEEE Transactions on Pattern Analysis and Machine Intelligence 37(3) (2015) 569-582.[7] Borji, L. Itti, State-of-the-art in visual attention modeling, IEEE transactions on pattern analysis and machine intelligence 35(1) (2013) 185-207.[8] Simonyan, A. Vedaldi, A. Zisserman, Deep inside convolutional networks: Visualising image classification models and saliency maps, arXiv preprint arXiv:1312.6034.[9] Li, Y. Yu, Visual saliency based on multiscale deep features, in: Proceedings of the IEEE conference on computer vision and pattern recognition, 2015, pp. 5455-5463.[10] Liu, J. Han, Dhsnet: Deep hierarchical saliency network for salient object detection, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2016, pp. 678-686.[11] Achanta, S. Hemami, F. Estrada, S. Susstrunk, Frequency-tuned saliency detection model, CVPR: Proc IEEE, 2009, pp. 1597-604.Fu, J. Cheng, Z. Li, H. Lu, Saliency cuts: An automatic approach to object segmentation, in: Pattern Recognition, 2008. ICPR 2008. 19th International Conference on, IEEE, 2008, pp. 1-4Borenstein, J. Malik, Shape guided object segmentation, in: Computer Vision and Pattern Recognition, 2006 IEEE Computer Society Conference on, Vol. 1, IEEE, 2006, pp. 969-976.Jiang, J. Wang, Z. Yuan, T. Liu, N. Zheng, S. Li, Automatic salient object segmentation based on context and shape prior., in: BMVC. 6 (2011) 9.Ciptadi, T. Hermans, J.M. Rehg, An in depth view of saliency, Georgia Institute of Technology, 2013.Desingh, K.M. Krishna, D. Rajan, C. Jawahar, Depth really matters: Improving visual salient region detection with depth., in: BMVC, 2013.Li, J. Ye, Y. Ji, H. Ling, J. Yu, Saliency detection on light field, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2014, pp. 2806-2813.Koch, S. Ullman, Shifts in selective visual attention: towards the underlying neural circuitry, in: Matters of intelligence, Springer, 1987, pp. 115-141.Laina, C. Rupprecht, V. Belagiannis, F. Tombari, N. Navab, Deeper depth prediction with fully convolutional residual networks, in: 3D Vision (3DV), 2016 Fourth International Conference on, IEEE, 2016, pp. 239-248.Bruce, J. Tsotsos, Saliency based on information maximization, in: Advances in neural information processing systems, 2006, pp. 155-162.Ren, X. Gong, L. Yu, W. Zhou, M. Ying Yang, Exploiting global priors for rgb-d saliency detection, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2015, pp. 25-32.Fang, J. Wang, M. Narwaria, P. Le Callet, W. Lin, Saliency detection for stereoscopic images., IEEE Trans. Image Processing 23(6) (2014) 2625-2636.Hou, L. Zhang, Saliency detection: A spectral residual approach, in: Computer Vision and Pattern Recognition, 2007. CVPR’07. IEEE Conference on, IEEE, 2007, pp. 1-8.Guo, Q. Ma, L. Zhang, Spatio-temporal saliency detection using phase spectrum of quaternion fourier transform, in: Computer vision and pattern recognition, 2008. cvpr 2008. ieee conference on, IEEE, 2008, pp. 1-8.Fang, W. Lin, B.S. Lee, C.T. Lau, Z. Chen, C.W. Lin, Bottom-up saliency detection model based on human visual sensitivity and amplitude spectrum, IEEE Transactions on Multimedia 14(1) (2012) 187-198.Lang, T.V. Nguyen, H. Katti, K. Yadati, M. Kankanhalli, S. Yan, Depth matters: Influence of depth cues on visual saliency, in: Computer vision-ECCV 2012, Springer, 2012, pp. 101-115.Zhang, G. Jiang, M. Yu, K. Chen, Stereoscopic visual attention model for 3d video, in: International Conference on Multimedia Modeling, Springer, 2010, pp. 314-324.Wang, M.P. Da Silva, P. Le Callet, V. Ricordel, Computational model of stereoscopic 3d visual saliency, IEEE Transactions on Image Processing 22(6) (2013) 2151-2165.Peng, B. Li, W. Xiong, W. Hu, R. Ji, Rgbd salient object detection: A benchmark and algorithms, in: European Conference on Computer Vision (ECCV), 2014, pp. 92-109.Wu, L. Duan, L. Kong, Rgb-d salient object detection via feature fusion and multi-scale enhancement, in: CCF Chinese Conference on Computer Vision, Springer, 2015, pp. 359-368.Xue, Y. Gu, Y. Li, J. Yang, Rgb-d saliency detection via mutual guided manifold ranking, in: Image Processing (ICIP), 2015 IEEE International Conference on, IEEE, 2015, pp. 666-670.Katz, A. Adler, Depth camera based on structured light and stereo vision, uS Patent App. 12/877,595 (Mar. 8 2012).Chatterjee, G. Molina, D. Lelescu, Systems and methods for determining depth from multiple views of a scene that include aliasing using hypothesized fusion, uS Patent App. 13/623,091 (Mar. 21 2013).Matthies, T. Kanade, R. Szeliski, Kalman filter-based algorithms for estimating depth from image sequences, International Journal of Computer Vision 3(3) (1989) 209-238.Y. Schechner, N. Kiryati, Depth from defocus vs. stereo: How different really are they?, International Journal of Computer Vision 39(2) (2000) 141-162.Delage, H. Lee, A.Y. Ng, A dynamic bayesian network model for autonomous 3d reconstruction from a single indoor image, in: Computer Vision and Pattern Recognition, 2006 IEEE Computer Society Conference on, Vol. 2, IEEE, 2006, pp. 2418-2428.Saxena, M. Sun, A.Y. Ng, Make3d: Learning 3d scene structure from a single still image, IEEE transactions on pattern analysis and machine intelligence 31(5) (2009) 824-840.Hedau, D. Hoiem, D. Forsyth, Recovering the spatial layout of cluttered rooms, in: Computer vision, 2009 IEEE 12th international conference on, IEEE, 2009, pp. 1849-1856.Liu, S. Gould, D. Koller, Single image depth estimation from predicted semantic labels, in: Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on, IEEE, 2010, pp. 1253-1260.Ladicky, J. Shi, M. Pollefeys, Pulling things out of perspective, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2014, pp. 89-96.K. Nathan Silberman, Derek Hoiem, R. Fergus, Indoor segmentation and support inference from rgbd images, in: ECCV, 2012.Liu, J. Yuen, A. Torralba, Sift flow: Dense correspondence across scenes and its applications, IEEE transactions on pattern analysis and machine intelligence 33(5) (2011) 978-994.Konrad, M. Wang, P. Ishwar, 2d-to-3d image conversion by learning depth from examples, in: Computer Vision and Pattern Recognition Workshops (CVPRW), 2012 IEEE Computer Society Conference on, IEEE, 2012, pp. 16-22.Liu, C. Shen, G. Lin, Deep convolutional neural fields for depth estimation from a single image, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015, pp. 5162-5170.Wang, X. Shen, Z. Lin, S. Cohen, B. Price, A.L. Yuille, Towards unified depth and semantic prediction from a single image, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015, pp. 2800-2809.Geiger, P. Lenz, C. Stiller, R. Urtasun, Vision meets robotics: The kitti dataset, International Journal of Robotics Research (IJRR).Achanta, S. Süsstrunk, Saliency detection using maximum symmetric surround, in: Image processing (ICIP), 2010 17th IEEE international conference on, IEEE, 2010, pp. 2653-2656.E. Rahtu, J. Kannala, M. Salo, J. Heikkilä, Segmenting salient objects from images and videos, in: Computer Vision-ECCV 2010, Springer, 2010, pp. 366-37.
Styles APA, Harvard, Vancouver, ISO, etc.
6

Thanh Huyen, Le, Dao Sy Duc, Nguyen Xuan Hoan, Nguyen Huu Tho et Nguyen Xuan Viet. « Synthesis of Fe3O4-Reduced Graphene Oxide Modified Tissue-Paper and Application in the Treatment of Methylene Blue ». VNU Journal of Science : Natural Sciences and Technology 35, no 3 (20 septembre 2019). http://dx.doi.org/10.25073/2588-1140/vnunst.4883.

Texte intégral
Résumé :
Graphene-based composites have received a great deal of attention in recent year because the presence of graphene can enhance the conductivity, strength of bulk materials and help create composites with superior qualities. Moreover, the incorporation of metal oxide nanoparticles such as Fe3O4 can improve the catalytic efficiency of composite material. In this work, we have synthesized a composite material with the combination of reduced graphene oxide (rGO), and Fe3O4 modified tissue-paper (mGO-PP) via a simple hydrothermal method, which improved the removal efficiency of the of methylene blue (MB) in water. MB blue is used as the model of contaminant to evaluate the catalytic efficiency of synthesized material by using a Fenton-like reaction. The obtained materials were characterized by SEM, XRD. The removal of materials with methylene blue is investigated by UV-VIS spectroscopy, and the result shows that mGO-PP composite is the potential composite for the color removed which has the removal efficiency reaching 65% in acetate buffer pH = 3 with the optimal time is 7 h. Keywords Graphene-based composite, methylene blue, Fenton-like reaction. References [1] Ma Joshi, Rue Bansal, Reng Purwar, Colour removal from textile effluents, Indian Journal of Fibre & Textile Research, 29 (2004) 239-259 http://nopr.niscair.res.in/handle/123456789/24631.[2] Kannan Nagar, Sundaram Mariappan, Kinetics and mechanism of removal of methylene blue by adsorption on various carbons-a comparative study, Dyes and pigments, 51 (2001) 25-40 https://doi.org/10.1016/S0143-7208(01)00056-0.[3] K Rastogi, J. N Sahu, B. C Meikap, M. N Biswas, Removal of methylene blue from wastewater using fly ash as an adsorbent by hydrocyclone, Journal of hazardous materials, 158 (2008) 531-540.https://doi.org/10.1016/j.jhazmat.2008.01. 105.[4] Qin Qingdong, Ma Jun, Liu Ke, Adsorption of anionic dyes on ammonium-functionalized MCM-41, Journal of Hazardous Materials, 162 (2009) 133-139 https://doi.org/10.1016/j.jhazmat. 2008.05.016.[5] Mui Muruganandham, Rps Suri, Sh Jafari, Mao Sillanpää, Lee Gang-Juan, Jaj Wu, Muo Swaminathan, Recent developments in homogeneous advanced oxidation processes for water and wastewater treatment, International Journal of Photoenergy, 2014 (2014). http://dx. doi.org/10.1155/2014/821674.[6] Herney Ramirez, Vicente Miguel , Madeira Luis Heterogeneous photo-Fenton oxidation with pillared clay-based catalysts for wastewater treatment: a review, Applied Catalysis B: Environmental, 98 (2010) 10-26 https://doi.org/ 10.1016/j.apcatb.2010.05.004.[7] Guo Rong, Jiao Tifeng, Li Ruifei, Chen Yan, Guo Wanchun, Zhang Lexin, Zhou Jingxin, Zhang Qingrui, Peng Qiuming, Sandwiched Fe3O4/carboxylate graphene oxide nanostructures constructed by layer-by-layer assembly for highly efficient and magnetically recyclable dye removal, ACS Sustainable Chemistry & Engineering, 6 (2017) 1279-1288 https://doi.org/10.1021/acssuschemeng.7b03635.[8] Sun Chao, Yang Sheng-Tao, Gao Zhenjie, Yang Shengnan, Yilihamu Ailimire, Ma Qiang, Zhao Ru-Song, Xue Fumin, Fe3O4/TiO2/reduced graphene oxide composites as highly efficient Fenton-like catalyst for the decoloration of methylene blue, Materials Chemistry and Physics, 223 (2019) 751-757 https://doi.org/ 10.1016/j.matchemphys.2018.11.056.[9] Guo Hui, Ma Xinfeng, Wang Chubei, Zhou Jianwei, Huang Jianxin, Wang Zijin, Sulfhydryl-Functionalized Reduced Graphene Oxide and Adsorption of Methylene Blue, Environmental Engineering Science, 36 (2019) 81-89 https://doi. org/10.1089/ees.2018.0157.[10] Zhao Lianqin, Yang Sheng-Tao, Feng Shicheng, Ma Qiang, Peng Xiaoling, Wu Deyi, Preparation and application of carboxylated graphene oxide sponge in dye removal, International journal of environmental research and public health, 14 (2017) 1301 https://doi.org/10.3390/ijerph14111301.[11] Yu Dandan, Wang Hua, Yang Jie, Niu Zhiqiang, Lu Huiting, Yang Yun, Cheng Liwei, Guo Lin, Dye wastewater cleanup by graphene composite paper for tailorable supercapacitors, ACS applied materials & interfaces, 9 (2017) 21298-21306 https://doi.org/10.1021/acsami.7b05318.[12] Wang Hou, Yuan Xingzhong, Wu Yan, Huang Huajun, Peng Xin, Zeng Guangming, Zhong Hua, Liang Jie, Ren MiaoMiao, Graphene-based materials: fabrication, characterization and application for the decontamination of wastewater and wastegas and hydrogen storage/generation, Advances in Colloid and Interface Science, 195 (2013) 19-40 https://doi. org/10.1016/j.cis.2013.03.009.[13] Marcano Daniela C, Kosynkin Dmitry V, Berlin Jacob M, Sinitskii Alexander, Sun Zhengzong, Slesarev Alexander, Alemany Lawrence B, Lu Wei, Tour James M, Improved synthesis of graphene oxide, ACS nano, 4 (2010) 4806-4814 https://doi.org/10.1021/nn1006368.[14] Zhang Jiali, Yang Haijun, Shen Guangxia, Cheng Ping, Zhang Jingyan, Guo Shouwu, Reduction of graphene oxide via L-ascorbic acid, Chemical Communications, 46 (2010) 1112-1114 http://doi. org/10.1039/B917705A [15] Gong Ming, Zhou Wu, Tsai Mon-Che, Zhou Jigang, Guan Mingyun, Lin Meng-Chang, Zhang Bo, Hu Yongfeng, Wang Di-Yan, Yang Jiang, Nanoscale nickel oxide/nickel heterostructures for active hydrogen evolution electrocatalysis, Nature communications, 5 (2014) 4695 https:// doi.org/10.1038/ncomms5695.[16] Wu Zhong-Shuai, Yang Shubin, Sun Yi, Parvez Khaled, Feng Xinliang, Müllen Klaus, 3D nitrogen-doped graphene aerogel-supported Fe3O4 nanoparticles as efficient electrocatalysts for the oxygen reduction reaction, Journal of the American Chemical Society, 134 (2012) 9082-9085 https://doi.org/10.1021/ja3030565.[17] Nguyen Son Truong, Nguyen Hoa Tien, Rinaldi Ali, Nguyen Nam Van, Fan Zeng, Duong Hai Minh, Morphology control and thermal stability of binderless-graphene aerogels from graphite for energy storage applications, Colloids and Surfaces A: Physicochemical and Engineering Aspects, 414 (2012) 352-358 https://doi.org/ 10.1016/j.colsurfa.2012.08.048.[18] Deng Yang, Englehardt James D, Treatment of landfill leachate by the Fenton process, Water research, 40 (2006) 3683-3694 https://doi.org/ 10.1016/j.watres.2006.08.009.
Styles APA, Harvard, Vancouver, ISO, etc.
7

« Force field of tetrafluoroborate anion for molecular dynamics simulation : a new approach ». Kharkov University Bulletin Chemical Series, no 33 (2019). http://dx.doi.org/10.26565/2220-637x-2019-33-03.

Texte intégral
Résumé :
González A., Goikolea E., Barrena J. A., Mysyk R. Review on supercapacitors: Technologies and materials. Renew. Sustain. Energy Rev. 2016, 58 1189-1206. Zhong C., Deng Y., Hu W., Qiao J., Zhang L., Zhang J. A review of electrolyte materials and compositions for electrochemical supercapacitors. Chem. Soc. Rev. 2015, 44 (21), 7484-7539. Dahl K., Sando G., Fox D., Sutto T., Owrutsky J. Vibrational spectroscopy and dynamics of small anions in ionic liquid solutions. J. Chem. Phys. 2005, 123 084504. Zhang B., Yuan Z., li X., Ren X., Nian H., Shen Y., Yun Q. Ion-molecule interaction in solutions of lithium tetrafluoroborate in propylene carbonate: An ftir vibrational spectroscopic study. In. J. Electrochem. Sc. 2013, 8 12735-12740. Jow T. R., Xu K., Borodin O., Ue M. Electrolytes for lithium and lithium-ion batteries. Springer: New York, NY, 2014; Vol. 58, p 476. Paschoal V. H., Faria L. F. O., Ribeiro M. C. C. Vibrational spectroscopy of ionic liquids. Chem. Rev. 2017, 117 (10), 7053-7112. Ueno S., Tanimura Y., Ten-no S. Molecular dynamics simulation for infrared spectroscopy with intramolecular forces from electronic properties of on-the-fly quantum chemical calculations. Int. J. Quantum Chem. 2013, 113 (3), 330-335. Xu R. J., Blasiak B., Cho M., Layfield J. P., Londergan C. H. A direct, quantitative connection between molecular dynamics simulations and vibrational probe line shapes. J. Phys. Chem. Lett. 2018, 9 (10), 2560-2567. Choi E., Yethiraj A. Conformational properties of a polymer in an ionic liquid: Computer simulations and integral equation theory of a coarse-grained model. J. Phys. Chem. B 2015, 119 (29), 9091-9097. Li B., Ma K., Wang Y.-L., Turesson M., Woodward C. E., Forsman J. Fused coarse-grained model of aromatic ionic liquids and their behaviour at electrodes. Phys. Chem. Chem. Phys. 2016, 18 (11), 8165-8173. Mehta N. A., Levin D. A. Molecular dynamics electrospray simulations of coarse-grained ethylammonium nitrate (ean) and 1-ethyl-3-methylimidazolium tetrafluoroborate (EMIM-BF4). Aerospace 2018, 5 (1). Son C. Y., McDaniel J. G., Schmidt J. R., Cui Q., Yethiraj A. First-principles united atom force field for the ionic liquid Bmim+BF4–: An alternative to charge scaling. J. Phys. Chem. B 2016, 120 (14), 3560-3568. Tetiana C., Oleg K., Yaroslav K. Microstructure and dynamics of single charged ions in propylene carbonate. Kharkov Univ. Bull. Chem. Ser. 2013, 0 (22), 25-38. Vovchynskyi I. S., Kolesnik Y. V., Filatov Y. I., Kalugin O. N. Molecular modelling on solutions of 1-1′-spirobipirrolidinium tetrafluoroborate in acetonitrile. J. Mol. Liq. 2017, 235 60-67. Sambasivarao S. V., Acevedo O. Development of opls-aa force field parameters for 68 unique ionic liquids. J. Chem. Theory Comput. 2009, 5 (4), 1038-1050. Doherty B., Zhong X., Gathiaka S., Li B., Acevedo O. Revisiting OPLS force field parameters for ionic liquid simulations. J. Chem. Theory Comput. 2017, 13 (12), 6131 6145. Feng G., Huang J., Sumpter B. G., Meunier V., Qiao R. Structure and dynamics of electrical double layers in organic electrolytes. Phys. Chem. Chem. Phys. 2010, 12 (20), 5468-5479. Kanzaki R., Mitsugi T., Fukuda S., Fujii K., Takeuchi M., Soejima Y., Takamuku T., Yamaguchi T., Umebayashi Y., Ishiguro S.-i. Ion–ion interaction in room temperature ionic liquid 1-ethyl-3-methylimidazolium tetrafluoroborate studied by large angle x-ray scattering experiment and molecular dynamics simulations. J. Mol. Liq. 2009, 147 (1), 77-82. Shim Y., Kim H. J. Nanoporous carbon supercapacitors in an ionic liquid: A computer simulation study. ACS Nano 2010, 4 (4), 2345-2355. Shim Y., Jung Y., Kim H. J. Graphene-based supercapacitors: A computer simulation study. J. Phys. Chem. B 2011, 115 (47), 23574-23583. Yang P.-Y., Ju S.-P., Hsieh H.-S., Lin J.-S. The diffusion behavior and capacitance of tetraethylammonium/tetrafluoroborate ions in acetonitrile with different molar concentrations: A molecular dynamics study. RSC Adv. 2017, 7 (87), 55044-55050. Zhang Q.-Y., Xie P., Wang X., Yu X.-W., Shi Z.-Q., Zhao S.-H. Thermodynamic and transport properties of spiro-(1,1')-bipyrrolidinium tetrafluoroborate and acetonitrile mixtures: A molecular dynamics study. Chin. Phys. B 2016, 25 (6), 066102. Liu Z., Huang S., Wang W. A refined force field for molecular simulation of imidazolium-based ionic liquids. J. Phys. Chem. B 2004, 108 (34), 12978-12989. Wu X., Liu Z., Huang S., Wang W. Molecular dynamics simulation of room-temperature ionic liquid mixture of [Bmim][BF4] and acetonitrile by a refined force field. Phys. Chem. Chem. Phys. 2005, 7 (14), 2771-2779. de Andrade J., Böes E. S., Stassen H. Computational study of room temperature molten salts composed by 1-alkyl-3-methylimidazolium cationsforce-field proposal and validation. J. Phys. Chem. B 2002, 106 (51), 13344-13351. Canongia Lopes J. N., Pádua A. A. H. Molecular force field for ionic liquids iii: Imidazolium, pyridinium, and phosphonium cations; chloride, bromide, and dicyanamide anions. J. Phys. Chem. B 2006, 110 (39), 19586-19592. Frisch M. J., Trucks G. W., Schlegel H. B., Scuseria G. E., Robb M. A., Cheeseman J. R., Scalmani G., Barone V., Petersson G. A., Nakatsuji H., Li X., Caricato M., Marenich A. V., Bloino J., Janesko B. G., Gomperts R., Mennucci B., Hratchian H. P., Ortiz J. V., Izmaylov A. F., Sonnenberg J. L., Williams, Ding F., Lipparini F., Egidi F., Goings J., Peng B., Petrone A., Henderson T., Ranasinghe D., Zakrzewski V. G., Gao J., Rega N., Zheng G., Liang W., Hada M., Ehara M., Toyota K., Fukuda R., Hasegawa J., Ishida M., Nakajima T., Honda Y., Kitao O., Nakai H., Vreven T., Throssell K., Montgomery Jr. J. A., Peralta J. E., Ogliaro F., Bearpark M. J., Heyd J. J., Brothers E. N., Kudin K. N., Staroverov V. N., Keith T. A., Kobayashi R., Normand J., Raghavachari K., Rendell A. P., Burant J. C., Iyengar S. S., Tomasi J., Cossi M., Millam J. M., Klene M., Adamo C., Cammi R., Ochterski J. W., Martin R. L., Morokuma K., Farkas O., Foresman J. B., Fox D. J. Gaussian 16 rev. C.01, Wallingford, CT, 2016. Breneman C. M., Wiberg K. B. Determining atom-centered monopoles from molecular electrostatic potentials. The need for high sampling density in formamide conformational analysis. J. Comput. Chem. 1990, 11 (3), 361-373. Cornell W. D., Cieplak P., Bayly C. I., Gould I. R., Merz K. M., Ferguson D. M., Spellmeyer D. C., Fox T., Caldwell J. W., Kollman P. A. A second generation force field for the simulation of proteins, nucleic acids, and organic molecules. J. Am. Chem. Soc. 1995, 117 (19), 5179-5197. Mayo S. L., Olafson B. D., Goddard W. A. Dreiding: A generic force field for molecular simulations. J. Phys. Chem. 1990, 94 (26), 8897-8909. Schmidt M. W., Baldridge K. K., Boatz J. A., Elbert S. T., Gordon M. S., Jensen J. H., Koseki S., Matsunaga N., Nguyen K. A., Su S., Windus T. L., Dupuis M., Montgomery Jr J. A. General atomic and molecular electronic structure system. J. Comput. Chem. 1993, 14 (11), 1347-1363. Xue H., Twamley B., Shreeve J. n. M. The first 1-alkyl-3-perfluoroalkyl-4,5- dimethyl-1,2,4-triazolium salts. J. Org. Chem. 2004, 69 (4), 1397-1400. Jorgensen W. L., Maxwell D. S., Tirado-Rives J. Development and testing of the opls all-atom force field on conformational energetics and properties of organic liquids. J. Am. Chem. Soc. 1996, 118 (45), 11225-11236. Pádua A. A. H., Costa Gomes M. F., Canongia Lopes J. N. A. Molecular solutes in ionic liquids: A structural perspective. Acc. Chem. Res. 2007, 40 (11), 1087-1096. Pensado A. S., Gomes M. F. C., Lopes J. N. C., Malfreyt P., Pádua A. A. H. Effect of alkyl chain length and hydroxyl group functionalization on the surface properties of imidazolium ionic liquids. Phys. Chem. Chem. Phys. 2011, 13 (30), 13518-13526. Shimizu K., Pensado A., Malfreyt P., Pádua A. A. H., Canongia Lopes J. N. 2d or not 2d: Structural and charge ordering at the solid-liquid interface of the 1 (2 hydroxyethyl)-3-methylimidazolium tetrafluoroborate ionic liquid. Faraday Discuss. 2012, 154 (0), 155-169. Canongia Lopes J. N., Deschamps J., Pádua A. A. H. Modeling ionic liquids using a systematic all-atom force field. J. Phys. Chem. B 2004, 108 (6), 2038-2047. Canongia Lopes J. N., Pádua A. A. H. Molecular force field for ionic liquids composed of triflate or bistriflylimide anions. J. Phys. Chem. B 2004, 108 (43), 16893 16898. Shimizu K., Almantariotis D., Gomes M. F. C., Pádua A. A. H., Canongia Lopes J. N. Molecular force field for ionic liquids v: Hydroxyethylimidazolium, dimethoxy-2- methylimidazolium, and fluoroalkylimidazolium cations and bis(fluorosulfonyl)amide, perfluoroalkanesulfonylamide, and fluoroalkylfluorophosphate anions. J. Phys. Chem. B 2010, 114 (10), 3592-3600. Smith W., Yong C. W., Rodger P. M. DL_POLY: Application to molecular simulation. Mol. Simulat. 2002, 28 (5), 385-471. Lindahl E., Hess B., van der Spoel D. Gromacs 3.0: A package for molecular simulation and trajectory analysis. J. Mol. Model. 2001, 7 (8), 306-317. Pronk S., Páll S., Schulz R., Larsson P., Bjelkmar P., Apostolov R., Shirts M. R., Smith J. C., Kasson P. M., van der Spoel D., Hess B., Lindahl E. Gromacs 4.5: A high-throughput and highly parallel open source molecular simulation toolkit. Bioinformatics 2013, 29 (7), 845-854. Van Der Spoel D., Lindahl E., Hess B., Groenhof G., Mark A. E., Berendsen H. J. C. GROMACS: Fast, flexible, and free. J. Comput. Chem. 2005, 26 (16), 1701-1718. Bussi G., Donadio D., Parrinello M. Canonical sampling through velocity rescaling. J. Chem. Phys. 2007, 126 (1), 014101. Berendsen H. J. C., Postma J. P. M., van Gunsteren W. F., DiNola A., Haak J. R. Molecular dynamics with coupling to an external bath. J. Chem. Phys. 1984, 81 (8), 3684-3690. Koverga V. A., Korsun O. M., Kalugin O. N., Marekha B. A., Idrissi A. A new potential model for acetonitrile: Insight into the local structure organization. J. Mol. Liq. 2017, 233 251-261. Agieienko V. N., Kolesnik Y. V., Kalugin O. N. Structure, solvation, and dynamics of Mg2+, Ca2+, Sr2+, and Ba2+ complexes with 3-hydroxyflavone and perchlorate anion in acetonitrile medium: A molecular dynamics simulation study. J. Chem. Phys. 2014, 140 (19), 194501. Kovacs H., Kowalewski J., Maliniak A., Stilbs P. Multinuclear relaxation and nmr self-diffusion study of the molecular dynamics in acetonitrile-chloroform liquid mixtures. J. Phys. Chem. 1989, 93 (2), 962-969. Kunz W., Calmettes P., Bellissent-Funel M. C. Dynamics of liquid acetonitrile at high frequencies. J. Chem. Phys. 1993, 99 (3), 2079-2082. Hurle R. L., Woolf L. A. Self-diffusion in liquid acetonitrile under pressure. J. Chem. Soc. Faraday Trans. 1982, 78 (7), 2233-2238. Hawlicka E., Grabowski R. Solvation of ions in acetonitrile-methanol solutions of sodium iodide. Ber. Bunsenges. Phys. Chern. 1990, 94 (4), 486-489. Holz M., Mao X. a., Seiferling D., Sacco A. Experimental study of dynamic isotope effects in molecular liquids: Detection of translationrotation coupling. J. Chem. Phys. 1996, 104 (2), 669-679. Liang M., Zhang X.-X., Kaintz A., Ernsting N. P., Maroncelli M. Solvation dynamics in a prototypical ionic liquid + dipolar aprotic liquid mixture: 1-butyl-3-methylimidazolium tetrafluoroborate + acetonitrile. J. Phys. Chem. B 2014, 118 (5), 1340-1352. Marcus Y. The properties of solvents. 1998. Marekha B. A., Kalugin O. N., Bria M., Buchner R., Idrissi A. Translational diffusion in mixtures of imidazolium ils with polar aprotic molecular solvents. J. Phys. Chem. B 2014, 118 (20), 5509-5517. Bešter-Rogač M., Stoppa A., Buchner R. Ion association of imidazolium ionic liquids in acetonitrile. J. Phys. Chem. B 2014, 118 (5), 1426-1435.
Styles APA, Harvard, Vancouver, ISO, etc.

Livres sur le sujet "Hebei lin xue yuan"

1

1936-, Ma Mengxiang, dir. Hebei Sheng nong lin ke xue yuan zhi. Shijiazhuang Shih : Hebei ke xue ji shu chu ban she, 1998.

Trouver le texte intégral
Styles APA, Harvard, Vancouver, ISO, etc.
2

Hebei yi xue yuan yuan zhi, 1915-1991 : He Bei yi xue yuan yuan zhi. Shijiazhuang Shi : Hebei ke xue ji shu chu ban she, 1995.

Trouver le texte intégral
Styles APA, Harvard, Vancouver, ISO, etc.
3

1946-, Zhong Chengxiang, dir. Lin hai xue yuan. Chengdu : Sichuan shao nian er tong chu ban she, 1985.

Trouver le texte intégral
Styles APA, Harvard, Vancouver, ISO, etc.
4

Yao, Kang. Lin hai xue yuan. 8e éd. Beijing : Zhongguo dian ying chu ban she, 2006.

Trouver le texte intégral
Styles APA, Harvard, Vancouver, ISO, etc.
5

Chu, Tian. Lin hai xue yuan. Beijing : Jie fang jun wen yi chu ban she, 1996.

Trouver le texte intégral
Styles APA, Harvard, Vancouver, ISO, etc.
6

Hebei jiao yu xue yuan zhi. Shijiazhuang Shi : Hebei jiao yu chu ban she, 1999.

Trouver le texte intégral
Styles APA, Harvard, Vancouver, ISO, etc.
7

li, Dong, et Bao zhi yi. Yuan lin zhi wu xue. Bei jing : Zhong guo jian zhu gong ye chu ban she, 2013.

Trouver le texte intégral
Styles APA, Harvard, Vancouver, ISO, etc.
8

yu, Mao hong. Yuan lin hua hui xue. Bei jing : Hua xue gong ye chu ban she, 2005.

Trouver le texte intégral
Styles APA, Harvard, Vancouver, ISO, etc.
9

Yuan lin miao pu xue. Beijing : Zhong guo lin ye chu ban she, 2012.

Trouver le texte intégral
Styles APA, Harvard, Vancouver, ISO, etc.
10

Jin, Xuezhi. Zhongguo yuan lin mei xue. 8e éd. Beijing : Zhongguo jian zhu gong ye chu ban, 2005.

Trouver le texte intégral
Styles APA, Harvard, Vancouver, ISO, etc.
Nous offrons des réductions sur tous les plans premium pour les auteurs dont les œuvres sont incluses dans des sélections littéraires thématiques. Contactez-nous pour obtenir un code promo unique!

Vers la bibliographie