NMSSM From Alternative Deflection in Generalized Deflected Anomaly Mediated SUSY Breaking

We propose a new approach to generate messenger-matter interactions in deflected anomaly mediated SUSY breaking mechanism from typical holomorphic messenger-matter mixing terms in the Kahler potential. This approach is a unique feature of AMSB and has no analog in GMSB-type scenarios. New coupling strengths from the scaling of the (already known) Yukawa couplings always appear in this approach. With messenger-matter interactions in deflected AMSB, we can generate a realistic soft SUSY breaking spectrum for next-to-minimal supersymmetric standard model(NMSSM). Successful electroweak symmetry breaking conditions, which is not easy to satisfy in NMSSM for ordinary AMSB-type scenario, can be satisfied in a large portion of parameter space in our scenarios. We study the relevant phenomenology for scenarios with (Bino-like) neutralino and axino LSP, respectively. In the case of axino LSP, the SUSY contributions to $\Delta a_\mu$ can possibly account for the muon $g-2$ discrepancy. The corresponding gluino masses, which are found to below 2.2 TeV, could be tested soon at LHC.Comment: 25pages, 2 figure

Similarity density of the Thue-Morse word with overlap-free infinite binary words

We consider a measure of similarity for infinite words that generalizes the notion of asymptotic or natural density of subsets of natural numbers from number theory. We show that every overlap-free infinite binary word, other than the Thue-Morse word t and its complement t bar, has this measure of similarity with t between 1/4 and 3/4. This is a partial generalization of a classical 1927 result of Mahler.Comment: In Proceedings AFL 2014, arXiv:1405.527

Separation of solid-liquid and liquid-liquid phases using dielectrophoresis

Over 3 decades after dielectrophoresis (DEP) was explored and defined, it has already been successfully applied in separating and handling bioparticles in micro and sub-micro scale biotechnology. However, nearly all of DEP applications are concentrated on the analysis and manipulation of particles in sub-micron and micron scaled systems with flow rates below mL/min. So far, none is known in process engineering for DEP in a scaled up application at flow rates of liters or even cubic meters per minute. The research described in this Ph D thesis is the first that attempts to scale up DEP application. With the research results described in this thesis, the feasibility of the DEP application in separation is verified. The proved high selectivity and controllability of DEP technique grand DEP a very promising prospect in separating and manipulating particles. The whole thesis work was implemented with three main steps, basic research of DEP mechanism and its side-effects and constrains, as a proof of principle gold particle fractionation using DEP, and a lab-scaled technical application of DEP in intensifying cross-flow membrane filtration, based on four paper

DualSMC: Tunneling Differentiable Filtering and Planning under Continuous POMDPs

A major difficulty of solving continuous POMDPs is to infer the multi-modal distribution of the unobserved true states and to make the planning algorithm dependent on the perceived uncertainty. We cast POMDP filtering and planning problems as two closely related Sequential Monte Carlo (SMC) processes, one over the real states and the other over the future optimal trajectories, and combine the merits of these two parts in a new model named the DualSMC network. In particular, we first introduce an adversarial particle filter that leverages the adversarial relationship between its internal components. Based on the filtering results, we then propose a planning algorithm that extends the previous SMC planning approach [Piche et al., 2018] to continuous POMDPs with an uncertainty-dependent policy. Crucially, not only can DualSMC handle complex observations such as image input but also it remains highly interpretable. It is shown to be effective in three continuous POMDP domains: the floor positioning domain, the 3D light-dark navigation domain, and a modified Reacher domain.Comment: IJCAI 202

Measures for diagnosing and treating infections by a novel coronavirus responsible for a pneumonia outbreak originating in Wuhan, China.

On 10 January 2020, a new coronavirus causing a pneumonia outbreak in Wuhan City in central China was denoted as 2019-nCoV by the World Health Organization (WHO). As of 24 January 2020, there were 887 confirmed cases of 2019-nCoV infection, including 26 deaths, reported in China and other countries. Therefore, combating this new virus and stopping the epidemic is a matter of urgency. Here, we focus on advances in research and development of fast diagnosis methods, as well as potential prophylactics and therapeutics to prevent or treat 2019-nCoV infection