We consider the classic cake-divison problem when the cake is a heterogeneous good represented by an interval in the real line. We provide a mechanism to implement, in an anonymous way, an envy-free and e¢cient allocation when agents have private information on their preferences. The mechanism is a multistep sequential game form in which each agent at each step receives a morsel of the cake tha...

We present and implement an efficient algorithm for performing nearest-neighbor queries in topological spaces that usually arise in the context of motion planning. Our approach extends the Kd tree-based ANN algorithm, which was developed by Arya and Mount for Euclidean spaces. We argue the correctness of the algorithm and illustrate its efficiency through computed examples. We have applied the ...

Knowledge distillation (KD) has proved to be an effective approach for deep neural network compression, which learns a compact (student) by transferring the knowledge from pre-trained, over-parameterized (teacher). In traditional KD, transferred is usually obtained feeding training samples teacher obtain class probabilities. However, original dataset not always available due storage costs or pr...

Abstract Glioblastoma (GBM) represents a particularly aggressive and immune-resistant cancer. Preclinical investigations have identified the anti-tumor activity of ketogenic diet (KD) in GBM, potentially being used as tool to target its glycolytic phenotype. Since immune cells tumor similar reliance upon nutrients perform their individual functions, we sought determine if KD influenced landscap...

A new mechanism is suggested for efficient proton acceleration in the GeV energy range; applications to non-conventional high intensity proton drivers and, hence, to low-energy (10-200 MeV) neutrino sources are discussed. In particular we investigate possible uses to explore subdominant ν̄μ → ν̄e oscillations at the atmospheric scale and their CP conjugate. We emphasize the opportunity to develop...

Abstract Kawasaki Disease (KD), a pediatric acute febrile illness and systemic vasculitis, is the leading cause of acquired heart diseases in children. Coronary artery aneurysms (CAAs) occur up to 25% untreated children, which reduced 5% with intravenous immunoglobulin (IVIG) treatment. However, 20% KD patients are refractory IVIG at higher risk CAAs, highlighting need characterize mechanisms m...

This paper proposes an efficient and novel method to address range search on multidimensional points in θ(t) time, where t is the number of points reported in < space. This is accomplished by introducing a new data structure, called BITS kd-tree. This structure also supports fast updation that takes θ(1) time for insertion and O(logn) time for deletion. The earlier best known algorithm for this...

This paper presents an efficient method of learning motion control for autonomous animated characters. The method uses a non parametric learning approach which identifies non linear mappings between sensory signals and motor control. The learning phase is handled through a General Regression Neural Network model simulated by using near neighbors search algorithms (kd-tree). The resulting adapti...

Ketogenic (KD) and high-fat (HFD) diets vitamin D (VD) produce variable effects on insulin secretion body weight (BW), but mechanisms remain unclear. We investigated the of normal fat (NFD), KD, HFD with without VD BW serum glucose, insulin, VD, resistance, C-reactive protein, interleukin-6, tumor necrosis factor-alpha in rats. Three isocaloric NFD, containing respectively protein-carbohydrate-...