Charged Higgs bosons from the 3-3-1 models and the R(D(∗))\mathcal{R}(D^{(*)}) anomalies

Several anomalies in the semileptonic B-meson decays such as $\mathcal{R}(D^{(*)})$ have been reported by $BABAR$, Belle, and LHCb collaborations recently. In this paper, we investigate the contributions of the charged Higgs bosons from the 3-3-1 models to the $\mathcal{R}(D^{(*)})$ anomalies. We find that, in a wide range of parameter space, the 3-3-1 models might give reasonable explanations to the $\mathcal{R}(D^{(*)})$ anomalies and other analogous anomalies of the B meson's semileptonic decays.Comment: Accpeted by Physical Review

Professional Learning with Action Research in Innovative Middle Schools

This article illustrates how action research can be used as a model for professional development with middle grades educators in rapidly changing and technology-intensive schools. Drawing upon ten years of using this model, the authors present three examples of educator action research to highlight five characteristics of effective projects: (1) appropriate scope, (2) a collaborative approach, (3) accountability, (4) various data sources, and (5) a clear link to practice. Action research with these characteristics can help middle grades educators address emergent problems in 21st-century class- rooms and respond to the evolving needs of young adolescents

Collaborative Action Research for Middle Grades Improvement

Technology’s rapid evolution applies constant pressure to educational organizations, suggesting a need to continually re-envision schools for the digital age. Yet educators often struggle to understand the growing chasm between students’ out-of-school and in-school technology lives. This gap is particularly noticeable during the middle grades years, when home technology use increases dramatically. The purpose of this research was to examine the experiences of teachers and students engaged in collaborative action research for middle school improvement in technology-rich settings. We begin by outlining our theoretical framework, emphasizing Fletcher’s Ladder of Student Involvement. We then describe our case-study design and methods. Findings are organized by action research components and a discussion of key themes follows. Finally, we consider the implications of this stud

Stochastic diffusion search review

Stochastic Diffusion Search, first incepted in 1989, belongs to the extended family of swarm intelligence algorithms. In contrast to many nature-inspired algorithms, stochastic diffusion search has a strong mathematical framework describing its behaviour and convergence. In addition to concisely exploring the algorithm in the context of natural swarm intelligence systems, this paper reviews various developments of the algorithm, which have been shown to perform well in a variety of application domains including continuous optimisation, implementation on hardware and medical imaging. This algorithm has also being utilised to argue the potential computational creativity of swarm intelligence systems through the two phases of exploration and exploitatio

Teacher Roles in Personalized Learning Environments.

As school districts, major cities, and entire states in the United States adopt personalized learning as a reform strategy focused on the co-construction of learning opportunities between teachers and students, educators face shifting roles. This study examined the roles of teachers in personalized learning environments within a policy context of statewide legislation of personalized learning plans, flexible educational pathways, and proficiency-based assessment. The study used data from interviews with a purposefully selected group of 20 elementary and middle school teachers from 11 schools. Findings revealed teachers’ perceptions of their roles as (a) empowerers, (b) scouts, (c) scaffolders, and (d) assessors, as well as associated strategies within each role that participants perceived to be constructive. The use of role theory illuminated the potential for intrarole conflict and role strain between and among these roles along with the cultural dimensions of the shift to personalized learning

Extending Naive Bayes Classifier with Hierarchy Feature Level Information for Record Linkage

Probabilistic record linkage has been well investigated in re- cent years. The Fellegi-Sunter probabilistic record linkage and its enhanced version are commonly used methods, which calculate match and non-match weights for each pair of corresponding fields of record-pairs. Bayesian network classifiers – naive Bayes classifier and TAN have also been successfully used here. Very recently, an extended version of TAN (called ETAN) has been developed and proved superior in classification accuracy to conventional TAN. However, no previous work has applied ETAN in record linkage and investigated the benefits of using a nat rally existing hierarchy feature level information. In this work, we extend the naive Bayes classifier with such information. Finally we apply all the methods to four datasets and estimate the F1 scores

General approach to quantum mechanics as a statistical theory

Since the very early days of quantum theory there have been numerous attempts to interpret quantum mechanics as a statistical theory. This is equivalent to describing quantum states and ensembles together with their dynamics entirely in terms of phase-space distributions. Finite dimensional systems have historically been an issue. In recent works [Phys. Rev. Lett. 117, 180401 (2016) and Phys. Rev. A 96, 022117 (2017)] we presented a framework for representing any quantum state as a complete continuous Wigner function. Here we extend this work to its partner function—the Weyl function. In doing so we complete the phase-space formulation of quantum mechanics—extending work by Wigner, Weyl, Moyal, and others to any quantum system. This work is structured in three parts. First we provide a brief modernized discussion of the general framework of phase-space quantum mechanics. We extend previous work and show how this leads to a framework that can describe any system in phase space—putting it for the first time on a truly equal footing to Schrödinger's and Heisenberg's formulation of quantum mechanics. Importantly, we do this in a way that respects the unifying principles of “parity” and “displacement” in a natural broadening of previously developed phase-space concepts and methods. Secondly we consider how this framework is realized for different quantum systems; in particular we consider the proper construction of Weyl functions for some example finite dimensional systems. Finally we relate the Wigner and Weyl distributions to statistical properties of any quantum system or set of systems

A Probabilistic Address Parser Using Conditional Random Fields and Stochastic Regular Grammar

Automatic semantic annotation of data from databases or the web is an important pre-process for data cleansing and record linkage. It can be used to resolve the problem of imperfect field alignment in a database or identify comparable fields for matching records from multiple sources. The annotation process is not trivial because data values may be noisy, such as abbreviations, variations or misspellings. In particular, overlapping features usually exist in a lexicon-based approach. In this work, we present a probabilistic address parser based on linear-chain conditional random fields (CRFs), which allow more expressive token-level features compared to hidden Markov models (HMMs). In additions, we also proposed two general enhancement techniques to improve the performance. One is taking original semi-structure of the data into account. Another is post-processing of the output sequences of the parser by combining its conditional probability and a score function, which is based on a learned stochastic regular grammar (SRG) that captures segment-level dependencies. Experiments were conducted by comparing the CRF parser to a HMM parser and a semi-Markov CRF parser in two real-world datasets. The CRF parser out-performed the HMM parser and the semiMarkov CRF in both datasets in terms of classification accuracy. Leveraging the structure of the data and combining the linear chain CRF with the SRG further improved the parser to achieve an accuracy of 97% on a postal dataset and 96% on a company dataset

Robber Barons Redux: Antimonopoly Reconsidered

The antimonopoly critique of big business that flourished in the United States during the 1880s is a neglected chapter in the history of American reform. In this essay, a revised version of Richard R. John's 2011 Business History Conference presidential address, John shows how this critique found expression in a gallery of influential cartoons that ran in the New York City-based satirical magazines Puck and Judge. Among the topics that the cartoonists featured was the manipulation of the nation's financial markets by financier Jay Gould