FnT Networking 3:2
Interference in Large Wireless Networks
by Martin Haenggi and Radha Krishna Ganti (University of Notre Dame)
This monograph presents an overview of interference network statistics and gives an introduction to the analytical techniques used in their derivation.

FnT Theoretical Computer Science 5:1
On the Power of Small-Depth Computation
by Emanuele Viola (Northeastern University)
This work discusses selected topics on small-depth computation, presenting a few unpublished proofs along the way.

FnT Entrepreneurship 5:7-8
Gender Issues in Entrepreneurship
by Maria Minniti (Southern Methodist University)
This contribution takes stock of what has been learned so far, identifies the main gaps, and encourages scholars to push the frontier of knowledge in this area further.

FnT Information Retrieval 4:1-2
Mining Query Logs: Turning Search Usage Data into Knowledge
by Fabrizio Silvestri (ISTI - CNR, Italy)
This survey introduces the discipline of query mining by showing its foundations and by analyzing the basic algorithms and techniques that are used to extract useful knowledge from this (potentially) infinite source of information.

FnT Information Retrieval3:4
The Probabilistic Relevance Framework: BM25 and Beyond
by Stephen Robertson (Microsoft Research) and Hugo Zaragoza (Yahoo! Research)
This work presents the PRF from a conceptual point of view, describing the probabilistic modelling assumptions behind the framework and the different ranking algorithms that result from its application.

FnT Finance 3:4
The Experimental Study of Asset Pricing Theory
by Peter Bossaerts (California Institute of Technology and Ecole Polytechnique Fédérale Lausanne)
This article sets the stage for experiments by first examining a sample data set that looks very much like the typical historical data one gathers from the field, only it was actually generated in the laboratory so that we know what really went on.

FnT Electronic Design Automation 3:2-3
Numerical Simulation and Modelling of Electronic and Biochemical Systems
by Jaijeet Roychowdhury (University of California, Berkeley)
This paper provides an introduction to the fundamentals of numerical simulation, and to the basics of modelling electronic circuits and biochemical reactions.

FnT Electronic Design Automation 3:4
The Predictive Technology Model in the Late Silicon Era and Beyond
by Yu Cao (Arizona State University), Asha Balijepalli (Global Foundries, Inc.), Saurabh Sinha (Arizona State University), Chi-Chao Wang (Arizona State University), Wenping Wang (Vitesse Semiconductor Corp.), Wei Zhao (Qualcomm)
This paper presents a comprehensive set of predictive modeling developments.