Temperature sensitivity of soil organic matter decomposition in boreal soils

Abstract. In this paper, we present an algorithm for finding utilitarian optimal solutions to Simple and Disjunctive Temporal Problems with Preferences (STPPs and DTPPs) based on Benders ’ decomposition and adopting SAT techniques. In our approach, each temporal constraint is replaced by a Boolean

methods for phase retrieval

filtering, since Bayesian approach alleviates overfitting, integrating out all model parameters using variational inference or sampling methods. However, Bayesian matrix factorization still suffers from the cold-start problem where predictions of ratings for new items or of new users ’ preferences

legacy queries and updates under schema and integrity constraints evolution. The PRISM/PRISM++ approach consists in providing the users with a set of SQL-based Schema Modification Opera-tors (SMOs), which describe how the tables in the old schema are modified into those in the new schema. In order to sup

Abstract not found

As this master thesis marks the end of my studies at Delft University of Technology, I would like to use this opportunity and thank everyone who has influenced my two-year journey. Those last two years have not been easy. In fact, it has been the most challenging, stressful, and at the same time- the most inspiring, productive, and exciting journey. Journey, which has completely changed my life and has prepared me for new challenges and opportunities. I owe a very special debt to the ex president of Georgia – Mikheil Saakashvili, for initiating a scholarship program for Georgian students abroad, willing to pursue master’s degree. I would like to thank Mr. Saakashvili for giving me a chance to be one of those students, and for fully sponsoring my studies at TU Delft. I must express special gratitude to my graduation committee for being way more supportive then I could ever imagine. I would like to thank them for all their feedback, support, and encouragement, for being very understanding, and shortly, for making it possible for me to finalize my thesis and to graduate. I would like to acknowledge the selfless help and support of my supervisor – Dr. Huib Aldewereld. His guidance and support encouraged me to be motivated and to keep working on the thesis. I would like to thank him for all his time that he has spent on reading my thesis, on giving me direct comments, and further motivation. I had times when I felt lost in my own thesis, and I was ready to give up, but Dr. Aldewereld always managed to encourage and motivate me. I would like to thank him for arranging meetings (lots of meetings) with me to discuss my progress, whenever I asked for it, despite his very

Abstract: Online learning initia-tives over the past decade have become increasingly comprehen-sive in their selection of courses and sophisticated in their presen-tation, culminating in the recent announcement of a number of consortium and startup activities that promise to make a university education on the internet, free of charge, a real possibility. At this pivotal moment it is appropriate to explore the potential for obtaining comprehensive bioinformatics training with currently existing free video resources. This article pre-sents such a bioinformatics curric-ulum in the form of a virtual course catalog, together with editorial commentary, and an assessment of strengths, weaknesses, and likely future directions for open online learning in this field. Online Learning Comes of Age Online academic ‘‘courseware’ ’ at the university level has now been available to the public for a decade, the earliest concerted effort having originated in 2002 with the Massachusetts Institute of Technology (MIT) and their OpenCour-seWare initiative

m]]l]]s¶D]]¿÷mB]iv]b]oD]m¶¨]iv]§]iv]r]j]t¿rv]]irj]]t]]m] / | ap]]r¿]ÎNy]s¶D]]mb¶r]ix} Û]Ix]]rd]mb]} p—N]t]o%ism] in]ty]m] / || Û]Is]¡uÎc]rN]]riv]nd]p]*N]m]st¶ I always bow to Śri ̄ Śāradāmbā, the limitless ocean of the nectar of compassion, who bears a rosary, a vessel of nectar, the symbol of knowledge and a book in Her lotus hands. Dedicated to the Lotus Feet of the revered Sadguru. This thesis presents a new active mask (AM) framework and an algorithm for segmenta-tion of digital images, particularly those of punctate patterns from fluorescence microscopy. Fluorescence microscopy has greatly facilitated the task of understanding complex sys-tems at cellular and molecular levels in recent years. Segmentation, an important yet dif-ficult problem, is often the first processing step following acquisition. Our team previously demonstrated that a stochastic active contour based algorithm together with the concept of

techniques applied in both theory and practice. We also show a connection between this general sampling method and MIMO Gaussian channels. We then identify the optimal sampling strategy for piece-wise flat sampled