cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Maternal smoking during pregnancy and cord blood DNA methylation: new insight on sex differences and effect modification by maternal folate levels
Creators: name: Boyang Zhang
name: Xiumei Hong
name: Hongkai Ji
name: Wan-Yee Tang
name: Kimmel, Mary
name: Yuelong Ji
name: Pearson, Colleen
name: Zuckerman, Barry
name: Surkan, Pamela J.
name: Xiaobin Wang
Publisher: name: Taylor & Francis
Year: 2018
Subjects: subject: Biochemistry
subject: Medicine
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Pharmacology
subject: Biotechnology
subject: 69999 Biological Sciences not elsewhere classified
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics
subject: Developmental Biology
subject: Science Policy
subject: Hematology

description: Maternal smoking during pregnancy may affect newborn DNA methylation (DNAm). However, little is known about how these associations vary by a newborn’s sex and/or maternal nutrition. To fill in this research gap, we investigated epigenome-wide DNAm associations with maternal smoking during pregnancy in African American mother-newborn pairs. DNAm profiling in cord (n = 379) and maternal blood (n = 300) were performed using the Illumina HumanMethylation450 BeadChip array. We identified 12 CpG sites whose DNAm levels in cord blood were associated with maternal smoking, at a false discovery rate <5%. The identified associations in the GFI1 gene were more pronounced in male newborns than in females (P = 0.002 for maternal smoking × sex interaction at cg18146737). We further observed that maternal smoking and folate level may interactively affect cord blood DNAm level at cg05575921 in the AHRR gene (P = 5.0 × 10−4 for interaction): compared to newborns unexposed to maternal smoking and with a high maternal folate level (>19.2 nmol/L), the DNAm level was about 0.03 lower (P = 3.6 × 10−4) in exposed newborns with a high maternal folate level, but was 0.08 lower (P = 1.2 × 10−8) in exposed newborns with a low maternal folate level. Our data suggest that adequate maternal folate levels may partly counteract the impact of maternal smoking on DNAm. These findings may open new avenues of inquiry regarding sex differences in response to environmental insults and novel strategies to mitigate their intergenerational health effects through optimization of maternal nutrition.
Dark matter: an efficient catalyst for intermediate-mass-ratio-inspiral events
Creators: name: Yue, Xiao-Jun
name: Han, Wen-Biao
name: Chen, Xian
Publisher: name: arXiv
Year: 2018
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: FOS: Physical sciences

description: Gravitational waves (GWs) can be produced if a stellar compact object, such as a black hole (BH) or neutron star, inspirals into an intermediate-massive black hole (IMBH) of $(10^3 \sim 10^5)\,M_\odot$. Such a system may be produced in the center of a globular cluster (GC) or a nuclear star cluster (NSC), and is known as an intermediate- or extreme-mass-ratio inspiral (IMRI or EMRI). Motivated by the recent suggestions that dark matter minispikes could form around IMBHs, we study the effect of dynamical friction against DM on the merger rate of IMRIs/EMRIs. We find that the merger timescale of IMBHs with BHs and NSs would be shortened by two to three orders of magnitude. As a result, the event rate of IMRIs/EMRIs are enhanced by orders of magnitude relative to that in the case of no DM minispikes. In the most extreme case where IMBHs are small and the DM minispikes have a steep density profile, all the BH in GCs and NSCs might be exhausted so that the mergers with NSs would dominate the current IMRIs/EMRIs. Our results suggest that the mass function of the IMBHs below $10^4 \,M_\odot$ would bear imprints of the distribution of DM minispikes because these low-mass IMBHs can grow efficiently in the presence of DM minispikes by merging with BHs and NSs. Future space-based GW detectors, like LISA, Taiji, and Tianqin, can measure the IMRI/EMRI rate and hence constrain the distribution of DM around IMBHs.
description: 17 pages, 10 figures
Anomaly Cancellation in 2+1 dimensions in the presence of a domainwall mass
Creators: name: Chandrasekharan, Shailesh
Publisher: name: arXiv
Year: 1993
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: High Energy Physics - Lattice (hep-lat)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: A Fermion in 2+1 dimensions, with a mass function which depends on one spatial coordinate and passes through a zero ( a domain wall mass), is considered. In this model, originally proposed by Callan and Harvey, the gauge variation of the effective gauge action mainly consists of two terms. One comes from the induced Chern-Simons term and the other from the chiral fermions, bound to the 1+1 dimensional wall, and they are expected to cancel each other. Though there exist arguments in favour of this, based on the possible forms of the effective action valid far from the wall and some facts about theories of chiral fermions in 1+1 dimensions, a complete calculation is lacking. In this paper we present an explicit calculation of this cancellation at one loop valid even close to the wall. We show that, integrating out the ``massive'' modes of the theory does produce the Chern-Simons term, as appreciated previously. In addition we show that it generates a term that softens the high energy behaviour of the 1+1 dimensional effective chiral theory thereby resolving an ambiguity present in a general 1+1 dimensional theory.
description: 17 pages, LaTex file, CU-TP-615
Searching for Dark Matter Annihilation with IceCube and P-ONE
Creators: name: Desai, Kruteesh
name: Li, Ruohan
name: Meighen-Berger, Stephan
Publisher: name: arXiv
Year: 2023
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: FOS: Physical sciences

description: We present a new search for weakly interacting massive particles utilizing ten years of public IceCube data, setting more stringent bounds than previous IceCube analysis on massive dark matter to neutrino annihilation. We also predict the future potential of the new neutrino observatory, P-ONE, showing that it may even exceed the sensitivities of gamma-ray searches by about 1-2 orders of magnitude in 1-10 TeV regions. This analysis considers the diffuse dark matter self-annihilation to neutrinos via direct and indirect channels, from the galactic dark matter halo and extra-galactic sources. We also predict that P-ONE will be capable of pushing these bounds further than IceCube, even reaching the thermal relic abundance utilizing a galactic center search for extended run-time.
description: We updated the IceCube results with updated J-factor especially the table
Representation Reuse for Learning Robust RobotManipulations
Creators: name: Sharma, Mohit
Publisher: name: Carnegie Mellon University
Year: 2024
Subjects: Adaptive Agents and Intelligent Robotics

description: Real world robots need to continuously learn new manipulation tasks.  These new manipulation tasksoften share many sub-structures with previously learned tasks, e.g., sub-tasks, controllers, preconditions.In this thesis, we aim to utilize these shared sub-structures to efficiently learn new manipulation tasks. For this, we explore reusing skill representations. These skill representations are either provided manually asstructured policy representations or learned in a data-driven manner.
The first part of this thesis focuses on policy representations.   To learn compositional skill policies we propose object-centric task-axes controllers.  Our task-axes controllers learn the skill structure and are composed into specialized policy representations for individual tasks.  These representations utilize the compositional, object-centric and geometric structure underlying many manipulation tasks. As we show through extensive experiments, these representations are robust to environment variations and are learned from limited data. We also show how parameterized policy representations help learn new tasks efficiently in a lifelong learning manner.  To achieve this, we propose skill effect models, which predict the effects of stereotypical skill executions.  We utilize skill effect models together with the power of search-based planning to effectively plan for new tasks and learn new skills over time
The second part of this thesis focuses on visual representations. These visual representations, learned either from simulation or offline web data are used for efficient learning of skill preconditions and policies  respectively. Specifically, for skill preconditions we focus on compositional learning and show how complex manipulation tasks, with multipleobjects, can be simplified by focusing on pairwise object relations. These relational representations are learned offline using large scale simulation data. In the latter part, we  focus on skill policies that utilize large pretrained visual representations for robot manipulation. First,  we propose RoboAdapters, which uses neural adapters as an alternative to frozen or fully-finetuned visual representations for robot manipulation. RoboAdapters bridge the performance gap between frozen  representations and full fine-tuning while preserving the original capabilities of the pretrained model.  Finally, we explore using large pretrained vision-language representations for real-time control of precise  and dynamic manipulation tasks. We use multiple sensing modalities at different hierarchies to enable  real-time control while maintaining the generalization and robustness of pretrained representations.
Maternal Smoking during Pregnancy and Cord Blood DNA Methylation: New Insight on Sex Differences and Effect Modification by Maternal Folate Levels
Creators: name: Boyang Zhang
name: Xiumei Hong
name: Hongkai Ji
name: Wan-Yee Tang
name: Kimmel, Mary
name: Yuelong Ji
name: Pearson, Colleen
name: Zuckerman, Barry
name: Surkan, Pamela J.
name: Xiaobin Wang
Publisher: name: Taylor & Francis
Year: 2018
Subjects: subject: Biochemistry
subject: Medicine
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Biotechnology
subject: 69999 Biological Sciences not elsewhere classified
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics
subject: Developmental Biology
subject: Science Policy
subject: Hematology

description: Maternal smoking during pregnancy may affect newborn DNA methylation (DNAm). However, little is known about how these associations vary by a newborn’s sex and/or maternal nutrition. To fill in this research gap, we investigated epigenome-wide DNAm associations with maternal smoking during pregnancy in African American mother-newborn pairs. DNAm profiling in cord (n=379) and maternal blood (n=300) were performed using the Illumina HumanMethylation450 BeadChip array. We identified 12 CpG sites whose DNAm levels in cord blood were associated with maternal smoking, at a false discovery rate <5%. The identified associations in the GFI1 gene were more pronounced in male newborns than in females (P = 0.002 for maternal smoking × sex interaction at cg18146737). We further observed that maternal smoking and folate level may interactively affect cord blood DNAm level at cg05575921 in the AHRR gene (P = 5.0×10−4 for interaction): compared to newborns unexposed to maternal smoking and with a high maternal folate level (>19.2 nmol/L), the DNAm level was about 0.03 lower (P = 3.6×10−4) in exposed newborns with a high maternal folate level, but was 0.08 lower (P = 1.2×10−8) in exposed newborns with a low maternal folate level. Our data suggest that the male fetus may be more vulnerable to the impact of maternal smoking on DNAm than the female; adequate maternal folate levels may partly counteract the impact of maternal smoking on DNAm. These findings may open new avenues of inquiry regarding sex differences in response to environmental insults and novel strategies to mitigate their intergenerational health effects through optimization of maternal nutrition.
Probing the weak mixing angle at high energies at the LHC and HL-LHC
Creators: name: Amoroso, Simone
name: Chiesa, Mauro
name: Del Pio, Clara Lavinia
name: Lipka, Katerina
name: Piccinini, Fulvio
name: Vazzoler, Federico
name: Vicini, Alessandro
Publisher: name: arXiv
Year: 2023
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: Measurements of neutral current Drell-Yan production at large invariant dilepton masses can be used to test the energy scale dependence (running) of the electroweak mixing angle. In this work, we make use of a novel implementation of the full next-to-leading order electroweak radiative corrections to the Drell-Yan process using the $\overline{\mathrm{MS}}$ renormalization scheme for the electroweak mixing angle. The potential of future analyses using proton-proton collisions at $\sqrt{s}=13.6~\mathrm{TeV}$ in the Run 3 and High-Luminosity phases of the LHC is explored. In this way, the Standard Model predictions for the $\overline{\mathrm{MS}}$ running at $\mathrm{TeV}$ scales can be probed.
Single Pion production from Nuclei
Creators: name: Singh, S. K.
name: Athar, M. Sajjad
name: Ahmed, S.
Publisher: name: arXiv
Year: 2007
Subjects: subject: Nuclear Theory (nucl-th)
subject: FOS: Physical sciences

description: We have studied charged current one pion production induced by $ν_μ(\barν_μ)$ from some nuclei. The calculations have been done for the incoherent pion production processes from these nuclear targets in the $Δ$ dominance model and take into account the effect of Pauli blocking, Fermi motion and renormalization of $Δ$ properties in the nuclear medium. The effect of final state interactions of pions has also been taken into account. The numerical results have been compared with the recent results from the MiniBooNE experiment for the charged current 1$π$ production, and also with some of the older experiments in Freon and Freon-Propane from CERN.
description: 5 pages, 5 figures, 5th International Workshop on Neutrino-Nucleus Interactions in the few GeV region(NuInt07), Batavia, Illinois, 30May-3June, 2007
title: 15 - Temporal effects on data fragmentation
Creators: name: Kho, Abel
Publisher: name: Mountain Scholar
Year: 2007
Subjects: subject: Data Collection
subject: Biomedical Research

description: This December 11, 2014 think tank discussed issues around the methodologies for optimizing the robustness and use of Electronic Health Records (EHR) data for a variety of clinical research purposes. Experts in both accessing EHR data and study design and analysis methodology using EHR data for research highlighted the challenges, solutions, and needs in this area. Given the potential broad scope of this topic, participants were asked to focus primarily on issues related to the use of EHR on the back end (i.e. the imperfect data as currently collected), rather than strategies to improve the quality of EHR data collected on the ‘front end’ (e.g., data entered by clinicians).
Anisotropic turbulent model for solar coronal heating
Creators: name: Bigot, B.
name: Galtier, S.
name: Politano, H.
Publisher: name: arXiv
Year: 2007
Subjects: subject: Astrophysics (astro-ph)
subject: FOS: Physical sciences

description: Context : We present a self-consistent model of solar coronal heating, originally developed by Heyvaert & Priest (1992), in which we include the dynamical effect of the background magnetic field along a coronal structure by using exact results from wave MHD turbulence (Galtier et al. 2000). Aims : We evaluate the heating rate and the microturbulent velocity for comparison with observations in the quiet corona, active regions and also coronal holes. Methods :The coronal structures are assumed to be in a turbulent state maintained by the slow erratic motions of the magnetic footpoints. A description for the large-scale and the unresolved small-scale dynamics are given separately. From the latter, we compute exactly (or numerically for coronal holes) turbulent viscosites that are finally used in the former to close self-consistently the system and derive the heating flux expression. Results : We show that the heating rate and the turbulent velocity compare favorably with coronal observations. Conclusions : Although the Alfven wave turbulence regime is strongly anisotropic, and could reduce a priori the heating efficiency, it provides an unexpected satisfactory model of coronal heating for both magnetic loops and open magnetic field lines.
description: 13 pages, 7 figures
Littlewood's principles in reverse real analysis
Creators: name: Cantuba, Rafael Reno S.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Classical Analysis and ODEs (math.CA)
subject: FOS: Mathematics
subject: 28A20 (Primary) 26A03, 12J15 (Secondary)

description: If local forms of Littlewood's three principles are stated as axioms for an ordered field, then each principle is equivalent to the completeness axiom.
title: 13 - Leveraging payer data to enhance longitudinal capture of outcomes
Creators: name: Curtis, Lesley
Publisher: name: Mountain Scholar
Year: 2007
Subjects: subject: Data Collection
subject: Biomedical Research

description: This December 11, 2014 think tank discussed issues around the methodologies for optimizing the robustness and use of Electronic Health Records (EHR) data for a variety of clinical research purposes. Experts in both accessing EHR data and study design and analysis methodology using EHR data for research highlighted the challenges, solutions, and needs in this area. Given the potential broad scope of this topic, participants were asked to focus primarily on issues related to the use of EHR on the back end (i.e. the imperfect data as currently collected), rather than strategies to improve the quality of EHR data collected on the ‘front end’ (e.g., data entered by clinicians).
Impact of origin-destination information in epidemic spreading
Creators: name: Gómez, Sergio
name: Fernández, Alberto
name: Meloni, Sandro
name: Arenas, Alex
Publisher: name: arXiv
Year: 2018
Subjects: subject: Physics and Society (physics.soc-ph)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: Social and Information Networks (cs.SI)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences

description: The networked structure of contacts shapes the spreading of epidemic processes. Recent advances on network theory have improved our understanding of the epidemic processes at large scale. The relevance of several considerations still needs to be evaluated in the study of epidemic spreading. One of them is that of accounting for the influence of origin and destination patterns in the flow of the carriers of an epidemic. Here we compute origin-destination patterns compatible with empirical data of coarse grained flows in the air transportation network. We study the incidence of epidemic processes in a metapopulation approach considering different alternatives to the flows prior knowledge. The data-driven scenario where the estimation of origin and destination flows is considered turns out to be relevant to assess the impact of the epidemics at a microscopic level (in our scenario, which populations are infected). However, this information is irrelevant to assess its macroscopic incidence (fraction of infected populations). These results are of interest to implement even better computational platforms to forecast epidemic incidence.
description: 12 pages, 5 figures. To appear in Scientific Reports
APPLYING DISTRIBUTIONAL SEMANTICS TO ENHANCE CLASSIFYING EMOTIONS IN ARABIC TWEETS
Creators: name: Shahd Alharbi
name: Purver, Matthew
Publisher: name: figshare
Year: 2018
Subjects: subject: 130306 Educational Technology and Computing
subject: FOS: Educational sciences

description: Most of the recent researches have been carried out to analyse sentiment and emotions found in English texts, where few studies have been conducted on Arabic contents, which have been focused on analysing the sentiment as positive and negative, instead of the different emotions’ classes. Therefore this paper has focused on analysing different six emotions’ classes in Arabic contents, especially Arabic tweets which have unstructured nature that make it challenging task compared to the formal structured contents found in Arabic journals and books. On the other hand, the recent developments in the distributional sematic models, have encouraged testing the effect of the distributional measures on the classification process, which was not investigated by any other classification-related studies for analysing Arabic texts. As a result, the model has successfully improved the average accuracy to more than 86% using Support Vector Machine (SVM) compared to the different sentiments and emotions studies for classifying Arabic texts through the developed semi-supervised approach which has employed the contextual and the co-occurrence information from a large amount of unlabelled dataset. In addition to the different remarkable achieved results, the model has recorded a high average accuracy, 85.30%, after removing the labels from the unlabelled contextual information which was used in the labelled dataset during the classification process. Moreover, due to the unstructured nature of Twitter contents, a general set of pre-processing techniques for Arabic texts was found which has resulted in increasing the accuracy of the six emotions’ classes to 85.95% while employing the contextual information from the unlabelled dataset.
title: 07 - Can we trust the phenotypes?
Creators: name: Murphy, Shawn
Publisher: name: Mountain Scholar
Year: 2007
Subjects: subject: Data Collection
subject: Biomedical Research

description: This December 11, 2014 think tank discussed issues around the methodologies for optimizing the robustness and use of Electronic Health Records (EHR) data for a variety of clinical research purposes. Experts in both accessing EHR data and study design and analysis methodology using EHR data for research highlighted the challenges, solutions, and needs in this area. Given the potential broad scope of this topic, participants were asked to focus primarily on issues related to the use of EHR on the back end (i.e. the imperfect data as currently collected), rather than strategies to improve the quality of EHR data collected on the ‘front end’ (e.g., data entered by clinicians).
Conformal Dirichlet-Neumann Maps and Poincaré-Einstein Manifolds
Creators: name: Gover, A. Rod
Publisher: name: arXiv
Year: 2007
Subjects: subject: Differential Geometry (math.DG)
subject: Mathematical Physics (math-ph)
subject: FOS: Mathematics
subject: FOS: Physical sciences
subject: 58J40, 53A30 (Primary) 58J32 (Secondary)

description: A conformal description of Poincare-Einstein manifolds is developed: these structures are seen to be a special case of a natural weakening of the Einstein condition termed an almost Einstein structure. This is used for two purposes: to shed light on the relationship between the scattering construction of Graham-Zworski and the higher order conformal Dirichlet-Neumann maps of Branson and the author; to sketch a new construction of non-local (Dirichlet-to-Neumann type) conformal operators between tensor bundles.
description: This is a contribution to the Proceedings of the 2007 Midwest Geometry Conference in honor of Thomas P. Branson, published in SIGMA (Symmetry, Integrability and Geometry: Methods and Applications) at http://www.emis.de/journals/SIGMA/
Impact of cash Management on Sustainability and profitability of SMEs in Somalia
Creators: name: AHMED, HASEN SEID
Publisher: name: Zenodo
Year: 2025
Subjects: Impact of cash Management
Sustainability and profitability of SMEs in Somalia

description: ABSTRACT

SMEs are essential for employment and job creation in Somalia. Sound money management practices are essential to ensuring the profitability and sustainability of a successful business. The commonly used expression "cash is king" is no longer up for debate as its validity has become more pronounced in this research study. The purpose of this study was to identify the current cash management practices of manufacturing small and medium enterprises in Hargeisa and to determine the impact of these practices on profitability and sustainability.
Green function for a two-dimensional discrete Laplace-Beltrami operator
Creators: name: Sushch, Volodymyr
Publisher: name: arXiv
Year: 2007
Subjects: subject: Mathematical Physics (math-ph)
subject: Analysis of PDEs (math.AP)
subject: FOS: Physical sciences
subject: FOS: Mathematics
subject: 39A12; 39A70

description: We study a discrete model of the Laplacian in $\mathbb{R}^2$ that preserves the geometric structure of the original continual object. This means that, speaking of a discrete model, we do not mean just the direct replacement of differential operators by difference ones but also a discrete analog of the Riemannian structure. We consider this structure on the appropriate combinatorial analog of differential forms. Self-adjointness and boundness for a discrete Laplacian are proved. We define the Green function for this operator and also derive an explicit formula of the one.
description: 12 pages
High resolution diagnostic images of Scaptodrosophila adelphe (Diptera: Drosophilidae)
Creators: name: McEvey, Shane
name: Tees, Natalie
Publisher: name: figshare
Year: 2018
Subjects: subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences

description: Scaptodrosophila adelphe (Bock, 1976:66) occurs from the Tamborine Mountains in southern Queensland (27.95°S) to Royal National Park just south of Sydney (34.1°S) in Australia. It has been collected at about ten localities but no particular habitat association is evident. Most specimens are in the Australian Museum (AM). This species is distinguished from close congeners by reference to the (a) narrow gena, (b) the high number of aristal rays, (c) the lack of darkening on the posterior crossvein or along the costal margin, and (d) the pointed form of the oviscapt. The wing venation metrics (McEvey, 2017) of the illustrated specimen (AM K.472624) are as follows (Bock's holotype measurements in parentheses): C-index = 2.94 (3.4); 4v-index = 1.86 (1.8); 4c-index = 0.83; 5x-index = 1.80 (1.7); M-index = 0.60 (0.6); ac-index = 2.16; C3F = 0.75 (0.75); hb = 0.77; prox.x = 0.47; WL = 2.78 mm; L1 = 2.69 mm; L.ax = 3.13 mm (3.0).
Charged Particle Scattering from Electroweak and Semi-Local Strings
Creators: name: Davis, A. C.
name: Martin, A. P.
name: Ganoulis, N.
Publisher: name: arXiv
Year: 1993
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: The scattering of a charged fermion from an electroweak or semi-local string is investigated and a full solution obtained for both massive and massless cases. For the former, with fractional string flux, there is a helicity conserving and helicity-flip cross-section, of equal magnitude and of a modified Aharonov-Bohm form: for integer flux the strong interaction cross-section is suppressed by a logarithmic term. The results also apply for GUT cosmic strings and chiral fermions.
description: 18 pages, DAMTP 93-46
title: Evaluation of a telephonic counseling program in a safety net hospital
Creators: name: Prabhakar-Gippert, Brinda
name: Ritchie, Natalie
name: Meir, Rachael
name: Hidalgo, Jacqueline
name: Brody, David
name: Keely, Robert
name: Donaldson, Ivy
name: Buller, Sarah
Publisher: name: Mountain Scholar
Year: 2019
Subjects: subject: Telephone in psychotherapy
subject: Distance Counseling
subject: Safety-net Providers

description: Colorado Journal of Psychiatry & Psychology Volume 2 Number 2 August 2017
description: We present the development, structure, and outcomes of the Telephonic Counseling for Depression and Anxiety (TCDA) program and describe how it increases access to quality care within a safety net hospital. TCDA was developed to help primary care providers improve the management of depression and comorbid anxiety among their patients who may otherwise be unable to access traditional psychotherapy.
Exploring the Limits of Controlled Markovian Quantum Dynamics with Thermal Resources
Creators: name: Ende, Frederik vom
name: Malvetti, Emanuel
name: Dirr, Gunther
name: Schulte-Herbrüggen, Thomas
Publisher: name: arXiv
Year: 2023
Subjects: subject: Quantum Physics (quant-ph)
subject: Mathematical Physics (math-ph)
subject: Optimization and Control (math.OC)
subject: FOS: Physical sciences
subject: FOS: Mathematics

description: Our aim is twofold: First, we rigorously analyse the generators of quantum-dynamical semigroups of thermodynamic processes. We characterise a wide class of GKSL-generators for quantum maps within thermal operations and argue that every infinitesimal generator of (a one-parameter semigroup of) Markovian thermal operations belongs to this class. We completely classify and visualise them and their non-Markovian counterparts for the case of a single qubit.
 Second, we use this description in the framework of bilinear control systems to characterise reachable sets of coherently controllable quantum systems with switchable coupling to a thermal bath. The core problem reduces to studying a hybrid control system ("toy model") on the standard simplex allowing for two types of evolution: (i) instantaneous permutations and (ii) a one-parameter semigroup of $d$-stochastic maps. We generalise upper bounds of the reachable set of this toy model invoking new results on thermomajorisation. Using tools of control theory we fully characterise these reachable sets as well as the set of stabilisable states as exemplified by exact results in qutrit systems.
description: 45 pages main
Mode entanglement of an electron in one-dimensional determined and random potentials
Creators: name: Gong, Longyan
name: Tong, Peiqing
Publisher: name: arXiv
Year: 2007
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: By using the measure of concurrence, mode entanglement of an electron moving in four kinds of one-dimensional determined and random potentials is studied numerically. The extended and local- ized states can be distinguished by mode entanglement. There are sharp transitions in concurrence at mobility edges. It provides that the mode entanglement may be a new index for a metal-insulator transition.
description: 6 pages,16 figures
title: Call to action: the need to develop, study, and refine integrated care models for the severely mentally-ill population in primary care
title: A call to action: the need to develop, study, and refine integrated care models for the severely mentally-ill population in primary care
titleType: AlternativeTitle
Creators: name: Lowdermilk, Elizabeth
Publisher: name: Mountain Scholar
Year: 2019
Subjects: subject: Integrated delivery of health care
subject: Mentally ill
subject: Delivery of Health Care, Integrated
subject: Mentally Ill Persons

description: Colorado Journal of Psychiatry & Psychology Volume 2 Number 2 August 2017
Hyperlink communities in higher-order networks
Creators: name: Lotito, Quintino Francesco
name: Musciotto, Federico
name: Montresor, Alberto
name: Battiston, Federico
Publisher: name: arXiv
Year: 2023
Subjects: subject: Social and Information Networks (cs.SI)
subject: Physics and Society (physics.soc-ph)
subject: Methodology (stat.ME)
subject: FOS: Computer and information sciences
subject: FOS: Physical sciences

description: Many networks can be characterised by the presence of communities, which are groups of units that are closely linked. Identifying these communities can be crucial for understanding the system's overall function. Recently, hypergraphs have emerged as a fundamental tool for modelling systems where interactions are not limited to pairs but may involve an arbitrary number of nodes. In this study, we adopt a dual approach to community detection and extend the concept of link communities to hypergraphs. This extension allows us to extract informative clusters of highly related hyperedges. We analyze the dendrograms obtained by applying hierarchical clustering to distance matrices among hyperedges across a variety of real-world data, showing that hyperlink communities naturally highlight the hierarchical and multiscale structure of higher-order networks. Moreover, hyperlink communities enable us to extract overlapping memberships from nodes, overcoming limitations of traditional hard clustering methods. Finally, we introduce higher-order network cartography as a practical tool for categorizing nodes into different structural roles based on their interaction patterns and community participation. This approach aids in identifying different types of individuals in a variety of real-world social systems. Our work contributes to a better understanding of the structural organization of real-world higher-order systems.
description: Accepted for publication in the Journal of Complex Networks
Neutrinoless Double Beta Decay and the Solar Neutrino Problem
Creators: name: Petcov, S. T.
name: Smirnov, A. Yu.
Publisher: name: arXiv
Year: 1993
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: The MSW or vacuum oscillation solution of the solar neutrino problem can be reconciled with possible existence of the $(ββ)_{0ν}$ decay with a half-life corresponding to an effective Majorana mass of the electron neutrino $|m_{ee}| \cong (0.1 - 1.0)~$eV. The phenomenological consequences of such a possibility are analyzed and the implications for the mechanisms of neutrino mass generation are considered.
description: 17 pages (2 figures available upon request), LaTeX, SISSA 113/93/EP and IC/93/360 (the word BETA inserted in the title)
Estimating Extreme 3D Image Rotation with Transformer Cross-Attention
Creators: name: Dekel, Shay
name: Keller, Yosi
name: Cadik, Martin
Publisher: name: arXiv
Year: 2023
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: The estimation of large and extreme image rotation plays a key role in multiple computer vision domains, where the rotated images are related by a limited or a non-overlapping field of view. Contemporary approaches apply convolutional neural networks to compute a 4D correlation volume to estimate the relative rotation between image pairs. In this work, we propose a cross-attention-based approach that utilizes CNN feature maps and a Transformer-Encoder, to compute the cross-attention between the activation maps of the image pairs, which is shown to be an improved equivalent of the 4D correlation volume, used in previous works. In the suggested approach, higher attention scores are associated with image regions that encode visual cues of rotation. Our approach is end-to-end trainable and optimizes a simple regression loss. It is experimentally shown to outperform contemporary state-of-the-art schemes when applied to commonly used image rotation datasets and benchmarks, and establishes a new state-of-the-art accuracy on these datasets. We make our code publicly available.
Analyzing Individual Proofs as the Basis of Interoperability between Proof Systems
Creators: name: Dowek, Gilles
Publisher: name: arXiv
Year: 2017
Subjects: subject: Logic in Computer Science (cs.LO)
subject: FOS: Computer and information sciences

description: We describe the first results of a project of analyzing in which theories formal proofs can be ex- pressed. We use this analysis as the basis of interoperability between proof systems.
description: In Proceedings PxTP 2017, arXiv:1712.00898
NEURAL SYMBOLIC ARABIC PARAPHRASING WITH AUTOMATIC EVALUATION
Creators: name: Al-Raisi, Fatima
name: Abdelwahab Bourai
name: Weijian Lin
Publisher: name: figshare
Year: 2018
Subjects: subject: 130306 Educational Technology and Computing
subject: FOS: Educational sciences

description: We present symbolic and neural approaches for Arabic paraphrasing that yield high paraphrasing accuracy. This is the first work on sentence level paraphrase generation for Arabic and the first using neural models to generate paraphrased sentences for Arabic. We present and compare several methods for para- phrasing and obtaining monolingual parallel data. We share a large coverage phrase dictionary for Arabic and contribute a large parallel monolingual corpus that can be used in developing new seq-to-seq models for paraphrasing. This is the first large monolingual corpus of Arabic. We also present first results in Arabic paraphrasing using seq-to-seq neural methods. Additionally, we propose a novel automatic evaluation metric for paraphrasing that correlates highly with human judgement.
title: Missing-iron problem and Type Ia supernova enrichment of hot gas in galactic spheroids
Creators: name: Tang, S
name: Wang, QD
Publisher: name: University of Massachusetts Amherst
Year: 2010
Subjects: subject: * ISM: abundances; * ISM: evolution; * galaxies: ISM; * X-rays: ISM
subject: Astrophysics and Astronomy

description: This is the pre-published version harvested from ArXiv. The published version is located at http://onlinelibrary.wiley.com/doi/10.1111/j.1365-2966.2010.17171.x/abstract
description: Type Ia supernovae (Ia SNe) provide a rich source of iron for hot gas in galactic stellar spheroids. However, the expected supersolar iron abundance of the hot gas is not observed. Instead, X-ray observations often show decreasing iron abundance towards galactic central regions, where the Ia SN enrichment is expected to be the highest. We examine the cause of this missing-iron problem by studying the enrichment process and its effect on X-ray abundance measurements of the hot gas. The evolution of Ia SN iron ejecta is simulated in the context of galaxy-wide hot gas outflows, in both supersonic and subsonic cases, as may be expected for hot gas in galactic bulges or elliptical galaxies of intermediate masses. SN reverse-shock-heated iron ejecta is typically found to have a very high temperature and low density, hence producing little X-ray emission. Such hot ejecta, driven by its large buoyancy, can quickly reach a substantially higher outward velocity than the ambient medium, which is dominated by mass-loss from evolved stars. The ejecta is gradually and dynamically mixed with the medium at large galactic radii. The ejecta is also slowly diluted and cooled by in situ mass injection from evolved stars. These processes together naturally result in the observed positive gradient in the average radial iron abundance distribution of the hot gas, even if mass weighted. This trend is in addition to the X-ray measurement bias that tends to underestimate the iron abundance for the hot gas with a temperature distribution.
A deep learning approach for detecting traffic accidents from social media data
Creators: name: Zhang, Zhenhua
name: Heb, Qing
name: Gao, Jing
name: Ni, Ming
Publisher: name: arXiv
Year: 2018
Subjects: subject: Social and Information Networks (cs.SI)
subject: Other Statistics (stat.OT)
subject: FOS: Computer and information sciences

description: This paper employs deep learning in detecting the traffic accident from social media data. First, we thoroughly investigate the 1-year over 3 million tweet contents in two metropolitan areas: Northern Virginia and New York City. Our results show that paired tokens can capture the association rules inherent in the accident-related tweets and further increase the accuracy of the traffic accident detection. Second, two deep learning methods: Deep Belief Network (DBN) and Long Short-Term Memory (LSTM) are investigated and implemented on the extracted token. Results show that DBN can obtain an overall accuracy of 85% with about 44 individual token features and 17 paired token features. The classification results from DBN outperform those of Support Vector Machines (SVMs) and supervised Latent Dirichlet allocation (sLDA). Finally, to validate this study, we compare the accident-related tweets with both the traffic accident log on freeways and traffic data on local roads from 15,000 loop detectors. It is found that nearly 66% of the accident-related tweets can be located by the accident log and more than 80% of them can be tied to nearby abnormal traffic data. Several important issues of using Twitter to detect traffic accidents have been brought up by the comparison including the location and time bias, as well as the characteristics of influential users and hashtags.
description: 17
Slate: extending Firedrake's domain-specific abstraction to hybridized solvers for geoscience and beyond
Creators: name: Gibson, Thomas H.
name: Mitchell, Lawrence
name: Ham, David A.
name: Cotter, Colin J.
Publisher: name: arXiv
Year: 2018
Subjects: subject: Mathematical Software (cs.MS)
subject: FOS: Computer and information sciences
subject: G.4; G.1.8; I.1

description: Within the finite element community, discontinuous Galerkin (DG) and mixed finite element methods have become increasingly popular in simulating geophysical flows. However, robust and efficient solvers for the resulting saddle-point and elliptic systems arising from these discretizations continue to be an on-going challenge. One possible approach for addressing this issue is to employ a method known as hybridization, where the discrete equations are transformed such that classic static condensation and local post-processing methods can be employed. However, it is challenging to implement hybridization as performant parallel code within complex models, whilst maintaining separation of concerns between applications scientists and software experts. In this paper, we introduce a domain-specific abstraction within the Firedrake finite element library that permits the rapid execution of these hybridization techniques within a code-generating framework. The resulting framework composes naturally with Firedrake's solver environment, allowing for the implementation of hybridization and static condensation as runtime-configurable preconditioners via the Python interface to PETSc, petsc4py. We provide examples derived from second order elliptic problems and geophysical fluid dynamics. In addition, we demonstrate that hybridization shows great promise for improving the performance of solvers for mixed finite element discretizations of equations related to large-scale geophysical flows.
description: Revisions for submission to GMD
title: To tell or not to tell: a case report of terminal illness in a complex youth
title: Case report of terminal illness in a complex youth
titleType: AlternativeTitle
Creators: name: Ladegard, Kristie
name: Baikie, Peggy D.
Publisher: name: Mountain Scholar
Year: 2019
Subjects: subject: Terminally ill adolescents
subject: Terminally Ill
subject: Adolescent

description: Colorado Journal of Psychiatry & Psychology Volume 2 Number 2 August 2017
Origin of the anomalous magnetic circular dichroism spectral shape in ferromagnetic (Ga,Mn)As: Impurity bands inside the band gap
Creators: name: Ando, K.
name: Saito, H.
name: Agarwal, K. C.
name: Debnath, M. C.
name: Zayets, V.
Publisher: name: arXiv
Year: 2007
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: The electronic structure of a prototype dilute magnetic semiconductor (DMS), Ga1-xMnxAs, is studied by magnetic circular dichroism (MCD) spectroscopy. We prove that the optical transitions originated from impurity bands cause the strong positive MCD background. The MCD signal due to the E0 transition from the valence band to the conduction band is negative indicating that the p-d exchange interactions between the p-carriers and d-spin is antiferromagnetic. The negative E0 MCD signal also indicates that the hole-doping of the valence band is not so large as previously assumed. The impurity bands seem to play important roles for the ferromagnetism of Ga1-xMnxAs.
description: 13 pages, 3 figures
Joint Energy and SINR Coverage in Spatially Clustered RF-powered IoT Network
Creators: name: Abd-Elmagid, Mohamed A.
name: Kishk, Mustafa A.
name: Dhillon, Harpreet S.
Publisher: name: arXiv
Year: 2018
Subjects: subject: Information Theory (cs.IT)
subject: Networking and Internet Architecture (cs.NI)
subject: FOS: Computer and information sciences

description: Owing to the ubiquitous availability of radio-frequency (RF) signals, RF energy harvesting is emerging as an appealing solution for powering IoT devices. In this paper, we model and analyze an IoT network which harvests RF energy and receives information from the same wireless network. In order to enable this operation, each time slot is partitioned into charging and information reception phases. For this setup, we characterize two performance metrics: (i) energy coverage and (ii) joint signal-to-interference-plus-noise (SINR) and energy coverage. The analysis is performed using a realistic spatial model that captures the spatial coupling between the locations of the IoT devices and the nodes of the wireless network (referred henceforth as the IoT gateways), which is often ignored in the literature. In particular, we model the locations of the IoT devices using a Poisson cluster process (PCP) and assume that some of the clusters have IoT gateways (GWs) deployed at their centers while the other GWs are deployed independently of the IoT devices. The level of coupling can be controlled by tuning the fraction of total GWs that are deployed at the cluster centers. Due to the inherent intractability of computing the distribution of shot noise process for this setup, we propose two accurate approximations, using which the aforementioned metrics are characterized. Multiple system design insights are drawn from our results. For instance, we demonstrate the existence of optimal slot partitioning that maximizes the system throughput. In addition, we explore the effect of the level of coupling between the locations of the IoT devices and the GWs on this optimal slot partitioning. Particularly, our results reveal that the optimal value of time duration for the charging phase increases as the level of coupling decreases.
description: To appear in IEEE Transactions on Green Communications and Networking
Triple B≡B bond: from a perfect Lewis structure to a dominant π-back-donation. The need for a reference point
Creators: name: Zilberg, Shmuel
name: Sivan, Jonathan
Publisher: name: Taylor & Francis
Year: 2018
Subjects: subject: Biophysics
subject: Biochemistry
subject: 29999 Physical Sciences not elsewhere classified
subject: FOS: Physical sciences
subject: Cell Biology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Immunology
subject: FOS: Clinical medicine
subject: Cancer

description: Coordination of a B2 fragment by two σ-donor ligands could lead to complexes with a formal triple B≡B bond L→B≡B←L. Formation of L-B σ-bond leads to excess electrons around the B2 central fragment. A subsequent direct π-charge transfer from B≡B moiety to the ligands L is a necessary condition for incorporation of BB fragment to the conjugated LBBL system. Quantum-chemical calculations (DFT, CCD, and CAS) show that the stabilization of a linear L-BB-L structure is possible but is accompanied by lowering of the B-B bond order. The ammonia-boryne structure H3N→BB←NH3, which is studied as a model system, shows a perfect triple BB fragment relative to other LBBL adducts. The comparison of the conjugation between the B2 fragment and two types of σ-donor ligands, with or without π-back-donation, provides an indication of the character of BB multiple bond. Three studied boryne molecules are calculated to have a high barrier for dissociation XXBBXX→XX + BBXX, yet a high reactivity of these compounds is indicated by the low-lying excited states of borynes (ΔES0-S1<1.5 eV). The largest gap ΔES0-S1∼2.6 eV is calculated for the room temperature stable bis-NHC-boryne.
One class of functions with arguments in negative bases
Creators: name: Serbenyuk, Symon
Publisher: name: arXiv
Year: 2023
Subjects: subject: General Mathematics (math.GM)
subject: FOS: Mathematics

description: The present research deals with generalizations of the Salem function with arguments defined in terms of certain alternating expansions of real numbers. The special attention is given to modelling such functions by systems of functional equations.
description: 9 pages. arXiv admin note: text overlap with arXiv:2001.08157