Program for computing partial pressures from residual gas analyzer data

A computer program for determining the partial pressures of various gases from residual-gas-analyzer data is given. The analysis of the ion currents of 18 m/e spectrometer peaks allows the determination of 12 gases simultaneously. Comparison is made to ion-gage readings along with certain other control information. The output data are presented in both tabular and graphical form

Building an Interdisciplinary Partnership to Improve Math Skills in the Science Classroom

This presentation is intended for University STEM faculty interested in developing interdisciplinary collaborations to improve the ability of students to do math in their science courses. The development of a partnership between faculty in chemistry and mathematics will be discussed. The presenters’ partnership explored ways to improve rates of chemistry student success by identifying key mathematical stumbling blocks encountered by chemistry students. This collaboration resulted in the formation of a student learning community comprised of a General Chemistry course and Precalculus course. Modifications were made to both courses including the addition of material to the mathematics course and changes in pedagogy in the chemistry course. Attendees will be presented with the framework that was used to develop this partnership and will engage in interdisciplinary discussions with other participants. We hope to promote the development of interdisciplinary teams at other colleges and universities

Technical notes on the isolation of Neurospora nuclei

Isolation of Neurospora nucle

Optimal randomized multilevel algorithms for infinite-dimensional integration on function spaces with ANOVA-type decomposition

In this paper, we consider the infinite-dimensional integration problem on weighted reproducing kernel Hilbert spaces with norms induced by an underlying function space decomposition of ANOVA-type. The weights model the relative importance of different groups of variables. We present new randomized multilevel algorithms to tackle this integration problem and prove upper bounds for their randomized error. Furthermore, we provide in this setting the first non-trivial lower error bounds for general randomized algorithms, which, in particular, may be adaptive or non-linear. These lower bounds show that our multilevel algorithms are optimal. Our analysis refines and extends the analysis provided in [F. J. Hickernell, T. M\"uller-Gronbach, B. Niu, K. Ritter, J. Complexity 26 (2010), 229-254], and our error bounds improve substantially on the error bounds presented there. As an illustrative example, we discuss the unanchored Sobolev space and employ randomized quasi-Monte Carlo multilevel algorithms based on scrambled polynomial lattice rules.Comment: 31 pages, 0 figure

Non-covalent Functionalization of Graphene to Tune Its Band Gap and Stabilize Metal Nanoparticles on Its Surface

Support from the Spanish Government (project no. RTI2018101558-B-C21), Autonomous Regional Government (Junta de Andalucia ', group nos. PAIDI FQM273 and RMN342), and University of Jaen (no. EI_FQM6-2019) is gratefully acknowledged. Technical and human support provided by SCAI of the University of Jaen (UJA, MINECO, Junta de Andalucia ', and FEDER) is also acknowledged.Controlling graphene conductivity is crucial for its potential applications. With this focus, this paper shows the effect of the non-covalent bonding of a pyrimidine derivative (HIS) on the electronic properties of graphene (G). Several G-HIS hybrids are prepared through mild treatments keeping unaltered the structures of both G and HIS. The attachment of HIS to G occurs by π−π stacking of the HIS-aromatic residue with the G surface. This partially blocks the pz electrons of G, giving rise to the splitting of both the valence and conduction bands. Moreover, the width of the splitting is directly related to the HIS content. This fact allows the fine-tuning of the band gap of G-HIS hybrids. Furthermore, HIS keeps its metal-complexing ability in the G-HIS hybrids. Taking advantage of this, a G-HIS−Cu(0) composite was prepared by H2 plasma reduction of a precursor of the G-HIS−Cu(II) type. GHIS− Cu(0) contains Cu(0) clusters stabilized on the G surface due to interactions with the COO− functions of HIS. In an analogous hybrid, G-HIS−Au(0), the Au(0) NPs are also stabilized by COO− functions. This material, consisting of the coupling of Au(0) NPs and G-HIS, photocatalyzed water reduction under visible light radiation producing 12.5 μmol·g−1·h−1of hydrogen.Spanish Government RTI2018101558-B-C21Junta de Andalucia PAIDI FQM273 RMN342University of Jaen EI_FQM6-201

“It's my language, my culture and it's personal!” Migrant mothers' experience of language use and identity change in their relationship with their children: an interpretative phenomenological analysis

The question of how migrants’ language use impacts their ethnic identity has received considerable attention in the literature. There is, however, little understanding of how this relationship manifests or is negotiated in interethnic families. This paper presents an in-depth exploration of Spanish mothers’ experiences of Spanish- and English-language interactions with their English-born children. Semi-structured interviews were conducted with Spanish mothers living in Britain in interethnic partnerships and transcripts were subjected to interpretative phenomenological analysis. Analysis reveals a process of identity change where participants’ shifting ethnic identifications with host and heritage culture is intimately related to their language use with their children. Pivotal to this process is the participants’ need to maintain their ‘Spanish mother’ identity, a desire that can only be fulfilled by transferring their heritage language to their children and speaking it with them. Findings reveal how this dynamic impacts perception of family roles, relationship quality and psychological well-being

Radiation reaction on charged particles in three-dimensional motion in classical and quantum electrodynamics

We extend our previous work (see arXiv:quant-ph/0501026), which compared the predictions of quantum electrodynamics concerning radiation reaction with those of the Abraham-Lorentz-Dirac theory for a charged particle in linear motion. Specifically, we calculate the predictions for the change in position of a charged scalar particle, moving in three-dimensional space, due to the effect of radiation reaction in the one-photon-emission process in quantum electrodynamics. The scalar particle is assumed to be accelerated for a finite period of time by a three-dimensional electromagnetic potential dependent only on one of the spacetime coordinates. We perform this calculation in the $\hbar\to 0$ limit and show that the change in position agrees with that obtained in classical electrodynamics with the Lorentz-Dirac force treated as a perturbation. We also show for a time-dependent but space-independent electromagnetic potential that the forward-scattering amplitude at order $e^2$ does not contribute to the position change in the $\hbar \to 0$ limit after the mass renormalization is taken into account.Comment: Latex, 20page

Fundamental Cycles and Graph Embeddings

In this paper we present a new Good Characterization of maximum genus of a graph which makes a common generalization of the works of Xuong, Liu, and Fu et al. Based on this, we find a new polynomially bounded algorithm to find the maximum genus of a graph

Genomic characterization of Gli-activator targets in sonic hedgehog-mediated neural patterning

Sonic hedgehog (Shh) acts as a morphogen to mediate the specification of distinct cell identities in the ventral neural tube through a Gli-mediated (Gli1-3) transcriptional network. Identifying Gli targets in a systematic fashion is central to the understanding of the action of Shh. We examined this issue in differentiating neural progenitors in mouse. An epitope-tagged Gli-activator protein was used to directly isolate cis-regulatory sequences by chromatin immunoprecipitation (ChIP). ChIP products were then used to screen custom genomic tiling arrays of putative Hedgehog (Hh) targets predicted from transcriptional profiling studies, surveying 50-150 kb of non-transcribed sequence for each candidate. In addition to identifying expected Gli-target sites, the data predicted a number of unreported direct targets of Shh action. Transgenic analysis of binding regions in Nkx2.2, Nkx2.1 (Titf1) and Rab34 established these as direct Hh targets. These data also facilitated the generation of an algorithm that improved in silico predictions of Hh target genes. Together, these approaches provide significant new insights into both tissue-specific and general transcriptional targets in a crucial Shh-mediated patterning process