Titlebook: Reviews of Physiology, Biochemistry and Pharmacology, Vol. 172; Bernd Nilius,Pieter de Tombe,Ole H.‘Petersen Book 2016 The Editor(s) (if a

Armada

Aqueous-Humor

homeostasis

Xun Ai,Jiajie Yan,Elena Carrillo,Wenmao Dingstness, reliability, and stability. Traditionally, most works on robot grasp planning have focused on pre-grasp analysis, where the target objects and tasks are considered in order to provide a set of feasible candidate grasps. Evaluation has been restricted to rank them in order to ease the selecti

companion

cogent

Are Parents Decisive? The Intergenerational Transmission of Social Axioms Under Conditions of Rapid Social Changence of social axioms across generations, (2) their positional stability across generations (i.e., a high parent—child correlation), (3) differences in the average endorsement of social axioms between generations, (4) differences in parent— child correlations for same-gender as opposed to opposite-ge

鳴叫

,A Mapmaker’s Journey, sense of identity. The power of using her voice against silence, especially through poetry, becomes a way to articulate her Palestinian American identity while positioning herself within an Arab American community of writers.

CREST

Fairness and Equal Treatment, of algorithmic decision-making systems. Besides the glaring gaps in the legal framework for enforcing non-discrimination laws in the EU in respect of AI technologies, the chapter discusses the procedural hurdles related to the same and concludes with various proposals for a possible solution to this problem.

contrast-medium

Self-Organising Maps for Classification with Metropolis-Hastings Algorithm for Supervisions based on neuron’s class membership and Metropolis-Hastings algorithm, which control network’s learning process. This approach is illustrated by performing recognition tasks on nine real data sets, such as: faces, written digits or spoken letters. Experimental results show improvements over the state-of-art methods for using SOM as classifier.

類人猿

A Flexible Parallel Runtime for Large Scale Block-Based Matrix Multiplicationble parallel runtime with large scale randomly generated data and public matrix collection. The results have shown that the proposed runtime has a good effect to select the best matrix multiplication strategy.

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