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How does an extended family, bound by shared history, affection, and duty but divided by generation, gender, status, and personality, memorialize its dead? This fascinating study shows how members of the prominent Yu family passed down their personal and familial memories over five generations, through the traumatic transition from imperial to modern China and amidst the radical change and destruction of the nineteenth and twentieth centuries. Their memory writing is unusual and compelling for its quantity, variety, and resonance of themes across generations. It reflects a particular cultural moment and family, yet offers insight into universal practices of writing and remembrance. Ink and T...
The 30-volume set, comprising the LNCS books 12346 until 12375, constitutes the refereed proceedings of the 16th European Conference on Computer Vision, ECCV 2020, which was planned to be held in Glasgow, UK, during August 23-28, 2020. The conference was held virtually due to the COVID-19 pandemic. The 1360 revised papers presented in these proceedings were carefully reviewed and selected from a total of 5025 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation.
Techniques and principles of minimax theory play a key role in many areas of research, including game theory, optimization, and computational complexity. In general, a minimax problem can be formulated as min max f(x, y) (1) ",EX !lEY where f(x, y) is a function defined on the product of X and Y spaces. There are two basic issues regarding minimax problems: The first issue concerns the establishment of sufficient and necessary conditions for equality minmaxf(x,y) = maxminf(x,y). (2) "'EX !lEY !lEY "'EX The classical minimax theorem of von Neumann is a result of this type. Duality theory in linear and convex quadratic programming interprets minimax theory in a different way. The second issue concerns the establishment of sufficient and necessary conditions for values of the variables x and y that achieve the global minimax function value f(x*, y*) = minmaxf(x, y). (3) "'EX !lEY There are two developments in minimax theory that we would like to mention.
This book focuses on the global economy, oil industry, natural gas industry, hydrogen energy industry, wind power industry, and low-carbon market in the post-pandemic era of China and the whole world. It provides the overview of the China's energy economy development in 2021 and has an in-depth analysis of the future development trends of the oil and gas and new energy industries. It aims to present Chinese insights on the development of the energy industry of China and the world.
Matrix functions and matrix equations are widely used in science, engineering and social sciences due to the succinct and insightful way in which they allow problems to be formulated and solutions to be expressed. This book covers materials relevant to advanced undergraduate and graduate courses in numerical linear algebra and scientific computing. It is also well-suited for self-study. The broad content makes it convenient as a general reference to the subjects.
This book mainly focuses on the research fields of Economic Management and Big Data Applications, specifically on the combination of the two. It covers all the excellent papers presented in the 3rd International Conference on Economic Management and Big Data Application (ICEMBDA 2022), and aims to provide a solid reference for experts and scholars engaged in the fields of economics, management science, data modeling and cloud computing, to share typical cases, scientific methods, cutting-edge technologies and novel insights. In this age of data, the book initiated by the researchers and analysts from various related disciplines will provide more knowledge, technical support and directional guidance to promote the development and upgrading of research in management science and economic research.
This new volume of Methods in Cell Biology looks at receptor-receptor interactions, with sections on allosteric and effector interactions, crystallization and modeling, measuring receptor-receptor interactions and oligomerization in individual classes. With cutting-edge material, this comprehensive collection is intended to guide researchers of receptor-receptor interactions for years to come. - Covers sections on allosteric and effector interactions, crystallization and modeling, measuring receptor-receptor interactions and oligomerization in individual classes - Chapters are written by experts in the field - Cutting-edge material
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In this thesis, attention was paid to several novel oxygenated fuels—carbonates, polyethers and ketones. Combustion kinetic investigations were performed for typical representative compounds, including dimethyl carbonate, diethyl carbonate, cyclopentanone, 3-pentanone, 1,2-dimethoxyethane and dimethoxymethane. For experiments, suitable diagnostic techniques were used to measure the detailed speciation information of the target fuels under different conditions. For kinetic modeling, rate coefficients for crucial elementary reactions were obtained through high-level theoretical calculations. Based on that, validated kinetic models with good predictive performances were developed. On the basi...