An inequality of W. L. Wang and P. F. Wang

In this note we present a proof of the inequality Hn/H′n≤Gn/G′n where Hn and Gn (resp. H′n and G′n) denote the weighted harmonic and geometric means of x1,…,xn (resp. 1−x1,…,1−xn) with xi∈(0,1/2], i=1,…,n

Fixed Parameter Undecidability for Wang Tilesets

Deciding if a given set of Wang tiles admits a tiling of the plane is decidable if the number of Wang tiles (or the number of colors) is bounded, for a trivial reason, as there are only finitely many such tilesets. We prove however that the tiling problem remains undecidable if the difference between the number of tiles and the number of colors is bounded by 43. One of the main new tool is the concept of Wang bars, which are equivalently inflated Wang tiles or thin polyominoes.Comment: In Proceedings AUTOMATA&JAC 2012, arXiv:1208.249

From demon to deity : Kang Wang in thirteenth-century Jizhou and beyond

This essay discusses the cult of a deity known as Kang Wang, worshipped throughout Jizhou in thirteenth-century Jiangxi. The identity of this deity remains to some extent mysterious; many different identifying stories for Kang Wang coexist. Underneath these guises, however, his origins as a fearsome and unnamed demon shine through. I argue that the various representations of Kang Wang must be understood as resulting from the very different agendas of the authors who created those identities, but they all share one aim: covering up the demonic roots of the deity. Providing a name and place of origin for the deity should be seen as attempts to exert authority over this demonic force

Towards An Integrated Framework for Artificial Intelligence Governance

Artificial intelligence (AI) is being developed and adopted by many organizations throughout the world. As the potential of AI is being leveraged, many opportunities are being realized and continue to emerge. However, potential issues need to be addressed (Wang and Siau, 2019), such as ethical and legal concerns (Siau and Wang, 2020), making an AI governance framework paramount (Wang and Siau, 2018; Chen et al., 2022). To address this need, we propose an integrated AI governance framework based on an analysis of existing AI frameworks from different regions of the world (i.e., United States, European Commission, Singapore, and Hong Kong). More specifically, we systematically analyzed these frameworks, juxtaposed the frameworks to identify similarities and differences, which allowed us to identify the core components of AI governance, and proposed an integrated framework for AI governance that adheres to the characteristics of analytic theory (Gregor, 2006). The proposed AI governance framework encompasses both Strategic as well as Tactical and Operational components. There is an overarching theme that crosses the Strategic, Tactical, and Operational components that we termed Stakeholder Communication, Interaction, and Engagement. The integrated framework can be utilized by practitioners as guidelines for their AI endeavors and it can also serve as a foundation to guide future AI governance research. Moving forward, we plan to conduct case studies on AI governance frameworks in organizations and study their impacts on AI success. Future research also includes extending our proposed AI governance framework and fine-tuning it to fit unique organizational characteristics or specific sectors of industry. REFERENCES Chen, J., Eschenbrenner, B., Nah, F., Siau, K., and Qian, Y. 2022. “Diffusion of AI Governance,” Proceedings of the Seventeenth Midwest Association for Information Systems Conference, Omaha, Nebraska, May 16-17. Gregor, S. 2006. “The Nature of Theory in Information Systems,” MIS Quarterly (30:3), pp. 611-642. Siau, K., and Wang, W. 2020. “Artificial Intelligence (AI) Ethics: Ethics of AI and Ethical AI,” Journal of Database Management (31:2), pp. 74-87. Wang, W., and Siau, K. 2019. “Artificial Intelligence, Machine Learning, Automation, Robotics, Future of Work, and Future of Humanity – A Review and Research Agenda,” Journal of Database Management, (30:1), pp. 61-79. Wang, W., and Siau, K. 2018. “Artificial Intelligence: A Study on Governance, Policies, and Regulations,” Thirteenth Annual Midwest Association for Information Systems Conference, St. Louis, Missouri, May 17-18

Retracted “Serum amyloid P down-regulates CCL-1 expression, and inhibits Ras/MAPK signaling and development of breast cancer”

This article previously published in Volume 17 Issue 16 of this journal in September 2017 has been retracted in line with the guidelines from the Committee on Publication Ethics (COPE,http://publicationethics.org/ resources/guidelines). Retraction: Ding S, Li H, Li X, Wang W, Du X, Dong G, Zhang P. Serum amyloid P down-regulates CCL-1 expression, and inhibits Ras/MAPK signaling and development of breast cancer. Trop J Pharm Res 2017; 16(9):2089-2095 doi: http://dx.doi.org/10.4314/tjpr.v16i9.7 To the editor: The figures in the paper were plagiarized partly from an earlier published article, Qi et al, P-selectinmediated tablet adhesion promoters tumor growth. Oncotarget 2015;30:6(9):6584–6596, and data from a master's thesis submitted by Bin Li under the supervision of Professor Lijing Wang and Professor Cuiling Qi. Sincerely, Cuiling Qi and Lijing Wang

Isoperimetric Inequalities on Hexagonal Grids

We consider the edge- and vertex-isoperimetric probem on finite and infinite hexagonal grids: For a subset W of the hexagonal grid of given cardinality, we give a lower bound for the number of edges between W and its complement, and lower bounds for the number of vertices in the neighborhood of W and for the number of vertices in the boundary of W. For the infinite hexagonal grid the given bounds are tight

HPC4Mobilty w/ UCB

The purpose of this project is to examine the energy impact of urban-scale traffic for the Los Angeles Basin by developing and implementing a scalable traffic assignment model. An energy optimization function will be posed and when integrated into the optimization code for travel assignment it can be mathematically proven to converge. The energy optimization function can then be compared to the typical travel time optimization that is traditionally used in traffic assignment models. The analysis will begin with static traffic assignment models with the routing for all origin and destinations computed in parallel on high performance computing facilities. Convergence of the numerical methods rely on the solution of convex programs (or extensions of these). This step will mostly consist of demonstrating the ability to parallelize the Frank Wolfe algorithm on various platforms. This work will contribute to LBNL’s efforts to develop new processes, analytical tools, program designs, and business models to advance the state of the art in next-generation sustainable transportation solutions

Helen Wang

Born in 1903 as Peng Jianqing, Helen Wang was raised in a traditional scholarly family within a confined compound in Wuhu, Anhui Province. She was the only girl and her parents’ favorite. At thirteen, her father moved the entire family to Shanghai so she could attend St. Mary Girl’s School. While there, she learned English, read Western literature, enjoyed music, and adopted the English name of Helen (Shen 56). Before she graduated, both her parents passed away, leaving her in the care of her eldest brother, who soon married her off to a man working for a Sino-Japanese mine in Fengtian (now Shenyang) that was more than a thousand miles away from Shanghai. Sixteen-year-old Helen bore her husband’s debauchery and anti-Chinese deference to his Japanese employers for a brief time before returning to Shanghai to try to make her own life. Since her brother was unwilling to take her back in, she took up residence with her godmother and managed to secure a job as a typist in a company under British American Tobacco (S. Zhang 404)