Standard Model Higgs Searches at the LHC

An overview of the searches for the Standard Model Higgs boson at the LHC is presented. The main Higgs production and decay modes that have been studied are introduced, and the analysis techniques and the recent developments done by the ATLAS and CMS experiments are described. Some preliminary results from current studies are included. The discovery potential within the first few years of physics running is evaluated

Indoor Emissions Contributed the Majority of Ultrafine Particles in Chinese Urban Residences

Ultrafine particle (UFP) pollution should be controlled to reduce its effects on health. The design of control measures is limited owing to the uncertainty of source contributions in Chinese residences, where indoor UFP pollution is more severe than in Western residences. Herein, a source-specific, time-dependent UFP concentration model was developed by applying an infiltration factor model incorporating coagulation effects. A Monte Carlo framework with the UFP concentration model was employed to estimate the probabilistic distribution of source contributions in Chinese residences. The input parameter distributions were determined based on our survey and previous studies. The annually averaged indoor UFP concentration was estimated at (2.75 ± 1.71) × 104 #/cm3, ranging from 2.35 × 103 to 1.27 × 105 #/cm3 outside the kitchen, and at (5.48 ± 3.08) × 104 #/cm3, ranging from 2.90 × 103 to 1.94 × 105 #/cm3 in the kitchen. Indoor sources contributed more to indoor UFPs, accounting for 61% in the nonkitchen and 80% in the kitchen, surpassing their contribution to indoor PM2.5 in Chinese residences. Meanwhile, the indoor UFP emission contributions were higher than those in the United States, Canada, and Germany, owing to higher emissions from cooking and cigarette smoking. These results will aid in elucidating human exposure to UFPs and in designing more targeted control measures

Data Mechanics and Coupling Geometry on Binary Bipartite Networks

<div><p>We quantify the notion of pattern and formalize the process of pattern discovery under the framework of binary bipartite networks. Patterns of particular focus are interrelated global interactions between clusters on its row and column axes. A binary bipartite network is built into a thermodynamic system embracing all up-and-down spin configurations defined by product-permutations on rows and columns. This system is equipped with its ferromagnetic energy ground state under Ising model potential. Such a ground state, also called a macrostate, is postulated to congregate all patterns of interest embedded within the network data in a multiscale fashion. A new computing paradigm for indirect searching for such a macrostate, called Data Mechanics, is devised by iteratively building a surrogate geometric system with a pair of nearly optimal marginal ultrametrics on row and column spaces. The coupling measure minimizing the Gromov-Wasserstein distance of these two marginal geometries is also seen to be in the vicinity of the macrostate. This resultant coupling geometry reveals multiscale block pattern information that characterizes multiple layers of interacting relationships between clusters on row and on column axes. It is the nonparametric information content of a binary bipartite network. This coupling geometry is then demonstrated to shed new light and bring resolution to interaction issues in community ecology and in gene-content-based phylogenetics. Its implied global inferences are expected to have high potential in many scientific areas.</p></div

Data_Sheet_1_Self-esteem mediated relations between loneliness and social anxiety in Chinese adolescents with left-behind experience.CSV

Although research examining loneliness and social anxiety has been conducted, few studies have explored pathways from loneliness at home to social anxiety at school in Chinese left-behind children. The study attempts to explore associations between loneliness at home and social anxiety at school and to examine roles of self-esteem in those relationships among a sample of Chinese left-behind children. Date were collected from 303 left-behind children, aged 10–14 years, and the Chinese versions of Children’s Loneliness Scale, Social Anxiety Scale, and Rosenberg Self-esteem Scale were used to measure loneliness at home, social anxiety at school, and self-esteem, respectively. Results showed that loneliness at home was positively associated with social anxiety at school; self-esteem played a partial mediation role in associations between loneliness at home and social anxiety at school. Findings suggest that high levels of self-esteem may influence pathways from loneliness at home to social anxiety at school in Chinese left-behind children, and increasing levels of self-esteem may be used in preventions for loneliness of Chinese left-behind children.</p

Three bootstrapped bipartite networks from En-1 (a), En-2 (b) and En-3 (c) bootstrapping ensembles based on the computed coupling geometry of Case's lizard data.

<p>In contrast to the presence-absence matrix in Fig. 3, more presence connections (1's in the matrix) are observed in the yellow, blue and red blocks as the one-scale structure is relaxed. These connections are marked in red.</p

The computed coupling geometry of Case's lizard data with marked blocks for interactions.

<p>Two marginal ultrametric trees are shown on row and column space. The initial and final energy levels are −748 and −1426.</p

The computed coupling geometry of bipartite presence/absence matrix of gene content.

<p>Phylogenetic tree of 12 species of <i>Prochlorococcus</i> and 4 species of <i>Synechococcus</i> and a gene tree of 312 distinct genes are shown on the row and column space. The initial and final energy levels are −7524 and −10880.</p

A schematic illustration of theme of Data Mechanics.

<p>Four binary matrices are four different states of up-and-down spin configurations with their calculated energy levels. The upper left binary matrix with a checker board arrangement has the highest possible Ising model-based energy. By symmetrically grouping rows and columns, small scale blocks are formed first in the upper right matrix, and then larger blocks are seen in the lower right matrix, and then blocks of the global scale merge on the lower left matrix. The energy is successively reduced further down to the lowest one along this permuting process.</p

Building Bicycle Safety performance Functions (SPFs) for Pacific Northwest Cities in the U.S. by Using Crowdsourcing Data

This article is part of the Proceedings of the 6th Annual International Cycling Safety Conference held in Davis, California, USA on September 20th through 23rd in the year 2017.<br><br>Paper ID: 4

Three energy density functions from En-1, En-2 and En-3 bootstrapping ensembles.

<p>The three energy densities from left to right correspond to block structures En-1, En-2 and En-3 based on the computed coupling geometry of Case's lizard data, as shown in Fig. 3.</p