The Global Media and Information Literacy Week: Moving Towards MIL Cities

The Global Media and Information Literacy Week commemorates the progress in achieving “MIL for all” by aggregating various MIL-related local and international events and actions across different disciplines around the world.The MIL Global Week 2018, 24 to 31 October, was marked by the United Nations Educational, Scientific and Cultural Organization in collaboration with various organizations including the UN Alliance of Civilizations, the Global Alliance for Partnership on MIL, the International Federation of Library Associations, the International Association of School Libraries, and the UNESCO-UNAOC University Cooperation Programme on Media and Information Literacy and Intercultural Dialogue

A Conditional Random Field for Multiple-Instance Learning

We present MI-CRF, a conditional random field (CRF) model for multiple instance learning (MIL). MI-CRF models bags as nodes in a CRF with instances as their states. It combines discriminative unary instance classifiers and pairwise dissimilarity measures. We show that both forces improve the classification performance. Unlike other approaches, MI-CRF considers all bags jointly during training as well as during testing. This makes it possible to classify test bags in an imputation setup. The parameters of MI-CRF are learned using constraint generation. Furthermore, we show that MI-CRF can incorporate previous MIL algorithms to improve on their results. MI-CRF obtains competitive results on five standard MIL datasets. 1

Insights on the adsorption behavior of aromatics in MIL-47 and MIL-53 from a theoretical perspective

Recently, the spectrum of nanoporous materials like zeolites and zeotype structures has been further expanded through the discovery of a new class of hybrid porous solids [1, 2]. Those materials, nowadays also known as metal organic frameworks or MOFs, consist of both inorganic and organic moieties. Certain MOFs exhibit a very interesting adsorption and even catalytic behavior. Within this contribution, we will mainly focus on adsorption and separation of aromatic species in MIL-47 and MIL-53 [3, 4, 5]. Some of the presenting authors reported for first time on the successful use of MOFs as selective adsorbents for the extremely difficult and industrially relevant separations of para-xylene versus meta-xylene and para-xylene versus ethylbenzene [3]. Their study focuses on the MIL-47, which was first synthesized by Barthelet [4]. This separation behavior of MIL-47 could be better understood with adsorption studies [3, 5]. The packing of each C8-pair will be discussed on the basis of the interactions between those two aromatic compounds and MIL-47 [3]. In order to unravel the interaction between the guest molecules and the lattice, periodic Density Functional Theory calculations have been conducted. The DFT calculations were corrected for dispersion interaction [6] to include the long-range attractive forces. It seems that pi-pi stacking energies between pairs of aromatics but also with the walls of the MOF are crucial for the packing behavior in the pores

Petrography and bulk composition of Miller Range 05035: a new lunar VLT gabbro

Miller Range (MIL) 05035 is a crystalline lunar mare gabbroic meteorite collected in Antarctica in 2005 [1]. It is an important new sample in the lunar meteorite (LM) collection as it is only one of ~8 to be classified as basaltic in nature. MIL 05035 is coarsely grained with large pyroxene grains ( 8mm) subophitically enclosing plagioclase grains ( 6mm), and accessory ilmenite, spinel, silica and sulphide phases