Letteratura scientifica selezionata sul tema "Wang lu ying yong"

The article entitled “Aberrant Sialylation in Cancer Pathology and Metastasis, a Putative Drug Target Candidate”, by Lu D.Y., Lu T.R., Xu B., Varki A., Huang M., Zhu H., Shen Y., Yarla N.S., has been retracted on the request of the co-authors Dr. Ajit Varki, Ming Huang, Hong Zhu and Ying Shen available at: Anticancer Agents Med Chem. 2018; 18(14): 1952-1961. http://www.eurekaselect.com/165282. <P> The Corresponding Author Dr. Da-Yong Lu has included the name of the co-author Dr. Ajit Varki, Dr. Nagendra Yarla, Ming Huang, Hong Zhu and Ying Shen without their consent and the manuscript has been published in the journal Anti-Cancer Agents in Medicinal Chemistry (ACAMC). Kindly see Bentham Science Policy on Article retraction at the link given below: <P> https://benthamscience.com/journals/anti-cancer-agents-in-medicinal-chemistry/editorial-policies/). <P> Submission of a manuscript to the respective journals implies that all authors have read and agreed to the content of the Copyright Letter or the Terms and Conditions. As such this article represents a severe abuse of the scientific publishing system. Bentham Science Publishers takes a very strong view on this matter and apologizes to the readers of the journal for any inconvenience this may cause.

The article entitled “Human Suicide, Modern Diagnosis Assistance and Magic Bullet Discovery”, by Da-Yong Lu, Peng-Peng Zhu, Hong-Ying Wu, Nagendra Sastry Yarla, Bin Xu, Jian Ding, Ajit Varki and Ting-Ren Lu, has been retracted on the request of one co-authors, Dr. Ajit Varki and Dr. Nagendra Sastry Yarla available at: Cent Nerv Syst Agents Med Chem 2019; 19(1): 15-23. http://www.eurekaselect.com/169003/article. The Corresponding Author Dr. Da-Yong Lu has included the names of the co-authors, Dr. Ajit Varki and Dr. Nagendra Sastry Yarla without their consent and the manuscript has been published in the journal, Central Nervous System Agents in Medicinal Chemistry (CNSAMC). Kindly see Bentham Science Policy on Article retraction at the link given below: (https://benthamscience.com/journals/central-nervous-system-agents-in-medicinal-chemistry/author-guidelines/) Submission of a manuscript to the respective journals implies that all authors have read and agreed to the content of the Copyright Letter or the Terms and Conditions. As such, this article represents a severe abuse of the scientific publishing sys-tem. Bentham Science Publishers takes a very strong view on this matter and apologizes to the readers of the journal for any inconvenience this may cause.

Целью данной работы является синтез и исследование свойств синтетического айкинита, PbCuBiS3.Синтез проводили в откачанных кварцевых ампулах в течение 7–8 ч, максимальная температура составляла 1250–1325 К. Далее образцы охлаждали и выдерживали при 600 К в течение недели. Потом ампулы вскрывали, образцы тщательно перетирали и после плавки отжигали при 600–800 К в зависимости от состава не менее двух недель для приведения образцов в равновесное состояние. Отожженные образцы исследовали методами дифференциально-термического (ДТА), рентгенофазового (РФА), микроструктурного (МСА) анализов, а также измерением микротвердости и определением плотности. РФА проводили на рентгеновском приборе модели Д 2 PHASER с использованием CuKa- излучении Ni-фильтр.Комплексом методов физико-химического анализа изучены разрезы CuBiS2–PbS, Cu2S–PbCuBiS3, Bi2S3–PbCuBiS3, PbBi2S4–PbCuBiS3, PbBi4S7–PbCuBiS3 квазитройной системы Cu2S–Bi2S3–PbS и построены их фазовые диаграммы.Установлено, что кроме сечения PbBi2S4–PbCuBiS3 все разрезы квазибинарные и характеризуются наличием ограниченных областей растворимости на основе исходных компонентов.При изучении разреза CuBiS2–PbS установлено образование четверного соединения состава PbCuBiS3, встречающееся в природе в виде минерала айкинита, плавящегося конгруэнтно при 980 К. Установлено, что соединение PbCuBiS3 кристаллизуется в ромбической сингонии с параметрами решетки: а = 1.1632, b = 1.166, с = 0.401 нм, прост. группа Pnma, Z = 4. Методами ДТА и РФА установлено, что соединение PbCuBiS3 является фазой переменного состава с областью гомогенности от 45 до 52 мол. % PbS. Соединение PbCuBiS3 является дырочным полупроводником с шириной запрещенной зоны ΔЕ = 0.84 эВ. ЛИТЕРАТУРА 1. Zhang Y-X., Ge Z-H., Feng J. Enhanced thermoelectric properties of Cu1.8S via introducing Bi2S3 andBi2S3/Bi core-shell nanorods. Journal of Alloys and Compounds. 2017;727: 1076–1082. DOI: https://doi.org/10.1016/j.jallcom.2017.08.2242. Mahuli N., Saha D., Sarkar S. K. Atomic layer deposition of p-type Bi2S3. Journal of Physical ChemistryC. 2017;121(14): 8136–8144. DOI: https://doi.org/10.1021/acs.jpcc.6b126293. Ge Z-H, Qin P., He D, Chong X., Feng D., Ji Y-H., Feng J., He J. Highly enhanced thermoelectric propertiesof Bi/Bi2S3 nano composites. ACS Applied Materials & Interfaces. 2017;9(5): 4828–4834. DOI: https://doi.org/10.1021/acsami.6b148034. Savory C. N., Ganose A. M., Scanlon D. O. Exploring the PbS–Bi2S3 series for next generation energyconversion materials. Chemistry of Materials. 2017;29(12): 5156–5167. DOI: https://doi.org/10.1021/acs.chemmater.7b006285. Li X., Wu Y, Ying H., Xu M., Jin C., He Z., Zhang Q., Su W., Zhao S. In situ physical examination of Bi2S3 nanowires with a microscope. Journal of Alloys and Compounds. 2019;798: 628–634. DOI: https://doi.org/10.1016/j.jallcom.2019.05.3196. Patila S. A., Hwanga Y-T., Jadhavc V. V., Kimc K. H., Kim H-S. Solution processed growth andphotoelectrochemistry of Bi2S3 nanorods thin fi lm. Journal of Photochemistry & Photobiology, A: Chemistry.2017;332: 174–181. DOI: https://doi.org/10.1016/j.jphotochem.2016.07.0377. Yang M., Luo Y. Z., Zeng M. G., Shen L., Lu Y. H., Zhou J., Wang S. J., Souf I. K., Feng Y. P. Pressure inducedtopological phase transition in layered Bi2S3. Physical Chemistry Chemical Physics. 2017;19(43):29372–29380. DOI: https://doi.org/10.1039/C7CP04583B8. Kоhatsu I., Wuensch B. J. The crystal structure of aikinite, PbCuBiS3. Acta Crystallogr. 1971;27(6):1245–1252. DOI: https://doi.org/10.1107/s05677408710038199. Ohmasa M., Nowacki W. 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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. 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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. 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The objective of this paper is to incorporate risk in technical efficiency of listed ASEAN banks in a panel data framework for the period 2000 to 2015. Many researchers apply frontier estimation techniques such as data envelopment analysis (DEA) or stochastic frontier analysis (SFA) for their efficiency analysis. However, the banks’ complex production process requires more sophisticated techniques to account for internal structures within the black box so relying only traditional DEA or SFA is not adequate to deal with a multiple-input and multiple-output production technology. To incorporate undesirable outputs such as risk into inefficiency, we rely on the directional distance function (DDF). We employ the DDF under both parametric (SFA) and semi-parametric (SEMSFA) framework to make a comparison efficiency scores with risk adjusted in two scenarios. Our results suggest that risk is an important factor that bank managers should pay more focus to achieve long-term efficiency in ASEAN banks Keywords Bank efficiency; risk; directional distance function (DDF); semiparametric estimation of stochastic frontier models (SEMSFA) References ADB. (2013). The road to ASEAN financial integration: A combined study on assessing the financial landscape and formulating milestones for monetary and financial integration in ASEAN. Andor, M., & Hesse, F. (2014). The StoNED age: the departure into a new era of efficiency analysis? A monte carlo comparison of StoNED and the ‘‘oldies’’ (SFA and DEA). J Prod Anal 41, 85-109. doi: 10.1007/s11123-013-0354-yBerger, A. N., & DeYoung, R. (1997). Problem loans and cost efficiency in commercial banks. Journal of Banking & Finance, 21(6), 849-870. Berger, A. N., & Humphrey, D. B. (1997). Efficiency of financial institutions: international survey and directions for future research. European Journal of Operational Research, 98, 175-212. Chan, S.-G., Koh, E. H. Y., Zainir, F., & Yong, C.-C. (2015). Market structure, institutional framework and bank efficiency in ASEAN 5. Journal of Economics and Business, 82, 84-112. Chang, C.-C. (1999). The Nonparametric Risk-Adjusted Efficiency Measurement: An Application to Taiwan’s Major Rural Financial Intermediaries. American Journal of Agricultural Economics, 81(4), 902-913. Chang, T.-C., & Chiu, Y. H. (2006). Affecting factors on risk-adjusted effciency in Taiwan’s banking industry. Contemporary Economic Policy 24(4), 634-648. Gardener, E., Molyneux, P., & Nguyen-Linh, H. (2011). Determinants of efficiency in South East Asian banking. The Service Industries Journal, 31(16), 2693-2719. Huang, T.-H., Chiang, D.-L., & Tsai, C.-M. (2015). Applying the New Metafrontier Directional Distance Function to Compare Banking Efficiencies in Central and Eastern European Countries. Economic Modelling, 44, 188-199. Karim, M. Z. A. (2001). Comparative Bank Efficiency across Select ASEAN Countries. ASEAN Economic Bulletin, 18(3), 289-304. Karim, M. Z. A., Sok-Gee, C., & Sallahudin, H. (2010). Bank efficiency and non-performing loans: Evidence from Malaysia and Singapore. Prague Economic Papers, 2, 118-132. doi: 10.18267/j.pep.367Khan, S. J. M. (2014). Bank Efficiency in Southeast Asian Countries: The Impact of Environmental Variables. In Handbook on the Emerging Trends in Scientific Research. Malaysia: PAK Publishing Group. Laeven, L. (1999). Risk and Efficiency in East Asian Banks (Vol. 2255). Washington, D.C. : World Bank, Financial Sector Strategy and Policy Department.Manlagnit, M. C. V. (2011). Cost efficiency, determinants, and risk preferences in banking: A case of stochastic frontier analysis in the Philippines. Journal of Asian Economics, 22, 23-35. Sarifuddin, S., Ismail, M. K., & Kumaran, V. V. (2015). Comparison of Banking Efficiency in the selected ASEAN Countries during the Global Financial Crisis. PROSIDING PERKEM, 10, 286-293. Sarmientoa, M., & Galán, J. E. (2015). The Influence of Risk-Taking on Bank Efficiency: Evidence from Colombia. CentER Discussion Paper, 2015-036. Vidoli, F., & Ferrara, G. (2015). Analyzing Italian citrus sector by semi-nonparametric frontier efficiency models. Empir Econ, 45, 641-658. Williams, J., & Nguyen, N. (2005). Financial Liberalisation, Crisis, and Restructuring: A Comparative Study of Bank Performance and Bank Governance in South East Asia. Journal of Banking and Finance, 29(8-9), 2119-2154. Wong, W. P., & Deng, Q. (1999). Efficiency analysis of banks in ASEAN countries. Benchmarking: An International Journal, 23(7), 1798-1817. Yueh-Cheng Wu, I. W. K. T., Wen-Min Lu, Mohammad Nourani, Qian Long Kweh. (2016). The impact of earnings management on the performance of ASEAN banks. Economic Modelling, 53, 156-165. Zhu, N., Wang, B., Yu, Z., & Wu, Y. (2016). Technical Efficiency Measurement Incorporating Risk Preferences: An Empirical Analysis of Chinese Commercial Banks. Emerging Markets Finance and Trade, 52, 610-624.

Jinxing Ye of the East China University of Science and Technology used (Tetrahedron Lett. 2011, 52, 2715) the Hayashi catalyst to direct the addition of 2 to 1, to give the cyclopropane 3. Jia-Rong Chen and Wen-Jing Xiao of Central China Normal University employed (J. Org. Chem. 2011, 76, 281) a urea catalyst for the addition of 5 to 4. Yasumasa Hamada of Chiba University devised (Tetrahedron Lett. 2011, 52, 987) a different urea catalyst for the addition of 7 to 8, to control both the absolute and relative configuration of 9. Jiyong Hong of Duke University showed (Tetrahedron Lett. 2011, 52, 2468) that the imidazolium-mediated cyclization of 10 proceeded with high diastereoselectivity to give 11. Yixin Lu of the National University of Singapore optimized (J. Am. Chem. Soc. 2011, 133, 1726) a dipeptide-derived phosphine to catalyze the addition of 12 to 13. Karl A. Scheidt of Northwestern University combined (Angew. Chem. Int. Ed. 2011, 50, 1678) a triazolium catalyst with super-stoichiometric Ti(O- i Pr)4 to effect the addition of 15 to 4, to give 16. En route to malyngamide C, Xiao-Ping Cao of Lanzhou University condensed (J. Org. Chem. 2011, 76, 3946) the prochiral commercial monoketal 17 with nitrosobenzene, using proline as a catalyst, to prepare 18. Hong Wang of Miami University showed (Angew. Chem. Int. Ed. 2011, 50, 3484) that a lanthanide-complexed α-amino amide was effective for catalyzing the addition of the prochiral 19 to 4, to give 20. Alexandre Alexakis of the Université de Genève and John C. Stephens of the National University of Ireland, Maynooth, established (Angew. Chem. Int. Ed. 2011, 50, 5095) that the Hayashi catalyst was effective for mediating the addition of 22 to 21, to give the diene 23. Ying-Chun Chen of Sichuan University and Karl Anker Jørgensen of Aarhus University used (J. Am. Chem. Soc. 2011, 133, 5053) the same catalyst for the addition of 24 to 25. The Hayashi catalyst appeared again in the report (Chem. Comm. 2011, 47, 3828) by Magnus Reuping of RWTH Aachen University of the addition of 27 to 28.