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A review of machine learning and satellite imagery for poverty prediction: Implications for development research and applications

The field of artificial intelligence is seeing the increased application of satellite imagery to analyse poverty in its various manifestations. This nascent but rapidly growing intersection of scholarship holds the potential to help us better understand poverty by leveraging big data and recent advances in machine vision. In this study, we statistically analyse the literature in the expanding fiel

Siegel Disks of the Tangent Family

We study Siegel disks in the dynamics of functions from the tangent family. In particular, we prove that a Siegel disk is unbounded if and only if the boundary of its image contains at least one asymptotic value. Moreover, by using quasiconformal surgery we also construct functions in the above family with bounded Siegel disks.

Målkonflikter och planeringsproblem : Några perspektiv från elområdet

Den klimatdrivna energiomställningen kommer att ställa omfattande krav på elsystemet. Ny förnybar produktionskapacitet och ny överföringskapacitet måste byggas i ett mycket snabbt tempo. Detta kommer att skapa utmaningar av två olika slag: i) att planera och bygga sådan kapacitet tar lång tid där det kan ta 10 år från idé till utbyggnad, ii) skalan i utbyggnaden kommer innebära ökad risk för konfl

EU State Aid Policy: Concealed Transfer of Competences?

This chapter concerns the role of competition policy, and in particular EU State aid rules, in the European integration process. The Treaty of the Functioning of the European Union contains a ban on State aid. However, this ban is not without exceptions. Through a centralized system, there is scope for exceptions in many policy areas. This also applies to areas where the member states are reluctan

The immune microenvironment in mantle cell lymphoma : Targeted liquid and spatial proteomic analyses

The complex interplay of the tumour and immune cells affects tumour growth, progression, and response to treatment. Restorationof effective immune response forms the basis of onco-immunology, which further enabled the development of immunotherapy. Inthe era of precision medicine, pin-pointing patient biological heterogeneity especially in relation to patient-specific immunemicroenvironment is a ne

A review of data-driven approaches to predict train delays

Accurate train delay prediction is vital for effective railway traffic planning and management as well as for providing satisfactory passenger service quality. Despite significant advances in data-driven train delay predictions, it lacks of a systematic review of studies and unified modelling development framework. The paper reviews existing studies with an explicit focus on synthesizing a structu

Using Information Criteria to Select Averages in CCE

In the interactive effects panel data literature information criteria are commonly used to consistently determine which of the estimated principal components factors to include. The present paper shows that the same approach can be applied to factors estimated by taking the cross-sectional averages of the observables, as prescribed by the popular common correlated effects (CCE) approach. This shou