Karnak-Nord – Storerooms

The excavations of the IFAO at Karnak North in the years 1970-1978 and 1986-1992 were directed by Jean Jacquet and have revealed the relicts of the treasury of Thutmosis Ist. A large amount of finds was made during this seasons and a large part of the find material is already published by Jean Jacquet and Helen Jacquet-Gordon in the volumes “Karnak Nord V-X”. All finds were kept in the storeroom facilities at the site, which felt into disrepair over the years. The weak condition of the buildi..

Demographic Inference and Representative Population Estimates from Multilingual Social Media Data

Social media provide access to behavioural data at an unprecedented scale and granularity. However, using these data to understand phenomena in a broader population is difficult due to their non-representativeness and the bias of statistical inference tools towards dominant languages and groups. While demographic attribute inference could be used to mitigate such bias, current techniques are almost entirely monolingual and fail to work in a global environment. We address these challenges by combining multilingual demographic inference with post-stratification to create a more representative population sample. To learn demographic attributes, we create a new multimodal deep neural architecture for joint classification of age, gender, and organization-status of social media users that operates in 32 languages. This method substantially outperforms current state of the art while also reducing algorithmic bias. To correct for sampling biases, we propose fully interpretable multilevel regression methods that estimate inclusion probabilities from inferred joint population counts and ground-truth population counts. In a large experiment over multilingual heterogeneous European regions, we show that our demographic inference and bias correction together allow for more accurate estimates of populations and make a significant step towards representative social sensing in downstream applications with multilingual social media.Comment: 12 pages, 10 figures, Proceedings of the 2019 World Wide Web Conference (WWW '19

How to bring forth good social learning in teacher education through technology

A core theme of this context statement is the contribution that digital technology can make to social learning in online and face-to-face contexts. The work contributes to the field of educational technology across sectors, by considering some of the obstacles currently facing practitioners such as new curricula, new pedagogical approaches and the fast pace of change. I present a rationale for technology supporting social learning and discuss several significant themes, such as the role of learning communities in supporting the co-creation of knowledge, the pedagogic approaches that support computational thinking, digital literacy and mobile learning, and the potential of international projects and online courses to make purposeful connections between teachers and learners. Looking firstly with a distant lens at the forms of technology-enabled learning communities (TELCs) in my public works, and then with a closer lens at the interactions and behaviours within them, I present a characterisation of the learning landscape that involves a topology and typology of TELCs. These consist of five distinct forms of TELCs together with a set of five dualities that describe conditions for knowledge-building. This framework contributes towards an understanding of the epistemology of TELCs within the context of my public works. It offers descriptive and diagnostic tools for analysing the nature of learning, knowing and knowledge-building within TELCs, and demonstrates how some key variables are interrelated. As such, it has relevance to the design and evaluation of social online learning and makes a contribution to the debate around theories of learning in a digital age

年間多回育における条桑収穫法の一型式

Article信州大学繊維学部附属農場研究報告 10: 22-27(1977)departmental bulletin pape

Integrating dynamic economic optimization and nonlinear closed-loop GPC: Application to a WWTP

Producción CientíficaIn this paper, a technique that integrates methods of dynamic economic optimization and real-time control by including economic model predictive control and closed-loop predictive control has been developed, using a two-layer structure. The upper layer, which consists of an economic nonlinear MPC (NMPC), makes use of the updated state information to optimize some economic cost indices and calculates in real time the economically optimal trajectories for the process states. The lower layer uses a closed-loop nonlinear GPC (NCLGPC) to calculate the control actions that allow for the outputs of the process to follow the trajectories received from the upper layer. This paper also includes the theoretical demonstration proving that the deviation between the state of the closed-loop system and the economically time varying trajectory provided by the upper layer is bounded, thus guaranteeing stability. The proposed approach is based on the use of nonlinear models to describe all the relevant process dynamics and cover a wide operating range, providing accurate predictions and guaranteeing the performance of the control systems. In particular, the methodology is implemented in the N-Removal process of a WWTP and the results demonstrate that the method is effective and can be used profitably in practical cases such as the chemical, refinery and petrochemical process industries.Ministerio de Economía y Competitividad - (project DPI2015- 67341C21R)Junta de Castilla y Leon y Fondo Europeo de Desarrollo Regional (FEDER) - (grants CLU 2017-09 and UIC 233