Machine learning techniques are widely applied in the field of building energy analysis to provide accurate energy models.The majority of previous studies, however, apply single-output machine learning algorithms to predict building energy use.Single-output models are unable to concurrently predict different time scales or various types of energy u

In many developing countries, male circumcision has been promoted as an effective HIV prevention strategy, and medical randomized controlled trials have indeed shown a causal link.However, there is limited empirical evidence to support this conclusion in countries where individuals can voluntary opt for different types of circumcision.The present s

Recent developments in SDN technologies have resulted in flow-based forwarding becoming are a feasible alternative for traditional mechanisms.However, as the efficiency of flow-based solutions strongly depends on traffic characteristics, they need to be evaluated using realistic and accurate flow models.In this paper, Hats we present a software fra

This work expands a previous block-partitioned quantum cellular automata (BQCA) model proposed by Brennen and Williams [Phys.Rev.A.68, 042311 (2003)] to incorporate physically realistic error models.These include timing errors in the form of Chair over- and under-rotations of quantum states during computational gate sequences, stochastic phase and

Noncoding RNAs control critical cellular processes, although their contribution to disease remains largely unexplored.Dyskerin associates with hundreds of H/ACA small RNAs to generate a multitude of functionally distinct ribonucleoproteins (RNPs).The DKC1 gene, encoding dyskerin, is mutated in the multisystem disorder X-linked dyskeratosis congenit