cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Challenges for Transformation: A Situational Analysis of Mental Health Care Services in Sehore District, Madhya Pradesh
Creators: name: Patel, Vikram
name: Shidhaye, Rahul
name: Shrivastava, Sanjay
name: Raja, Anusha
name: Murhar, Vaibhav
name: Ramaswamy, Rohit
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2015

description: The proportion of individuals with mental disorders receiving evidence based treatments in India is very small. In order to address this huge treatment gap, programme for improving mental health care is being implemented in Sehore district of Madhya Pradesh, India. The aim of this study was to complete the situational analysis consisting of two parts; document review of Sehore district mental health programme followed by a qualitative study. The findings suggest that there are major health system challenges in developing and implementing the mental health care plan to be delivered through primary health care system in Sehore district.
Damages Evaluation of Bt. Transgenic Cotton to Cotton Bollworm, Helicoverpa armigera (Hubner)
Creators: name: Kesara Jee-Rajunya
Publisher: name: Department of Agriculture
Year: 1999
Subjects: Bt. transgenic cotton varieties
cotton bollworm
Helicoverpa armigera (Hubner)

description: Thai Agricultural Research Journal, 17, 1, 57-65
The Guinea Pig as a Model of Infectious Diseases
Creators: name: The University of North Carolina at Chapel Hill University Libraries
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2008

description: The words ‘guinea pig’ are synonymous with scientific experimentation, but much less is known about this species than many other laboratory animals. This animal model has been used for approximately 200 y and was the first to be used in the study of infectious diseases such as tuberculosis and diphtheria. Today the guinea pig is used as a model for a number of infectious bacterial diseases, including pulmonary, sexually transmitted, ocular and aural, gastrointestinal, and other infections that threaten the lives of humans. Most studies on the immune response to these diseases, with potential therapies and vaccines, have been conducted in animal models (for example, mouse) that may have less similarity to humans because of the large number of immunologic reagents available for these other species. This review presents some of the diseases for which the guinea pig is regarded as the premier model to study infections because of its similarity to humans with regard to symptoms and immune response. Furthermore, for diseases in which guinea pigs share parallel pathogenesis of disease with humans, they are potentially the best animal model for designing treatments and vaccines. Future studies of immune regulation of these diseases, novel therapies, and preventative measures require the development of new immunologic reagents designed specifically for the guinea pig.
The Influence of Xenorhabdus nematophilus (Enterobacteriaceae) on the Propagation of Entomopathogenic Nematodes Steinernema carpocapsae (Weiser) in Liquid Culture
Creators: name: Vacharee Somsook
Publisher: name: Department of Agriculture
Year: 1999
Subjects: bacteria
nematode
propagation
symbiotic relationship

description: Thai Agricultural Research Journal, 17, 1, 66-72
Conditioning laboratory cats to handling and transport
Creators: name: Gruen, Margaret E.
name: Thomson, Andrea E.
name: Clary, Gillian P.
name: Sherman, Barbara L.
name: Meeker, Rick B.
name: Hudson, Lola C.
name: Hamilton, Alexandra K.
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2013

description: As research subjects, cats have contributed substantially to our understanding of biological systems, from the development of mammalian visual pathways to the pathophysiology of feline immunodeficiency virus as a model for human immunodeficiency virus. Few studies have evaluated humane methods for managing cats in laboratory animal facilities, however, in order to reduce fear responses and improve their welfare. The authors describe a behavioral protocol used in their laboratory to condition cats to handling and transport. Such behavioral conditioning benefits the welfare of the cats, the safety of animal technicians and the quality of feline research data.
The Spatial Scaling Laws of Compressible Turbulence
Creators: name: Sun, Bohua
Publisher: name: arXiv
Year: 2015
Subjects: subject: Fluid Dynamics (physics.flu-dyn)
subject: FOS: Physical sciences

description: The spatial scaling laws of velocity kinetic energy spectrum for compressible turbulence flow and its density-weighted counterpart have been formulated in terms of wavenumber, dissipation rate and Mach number by using dimensional analysis. We have applied the Barenblatt's incomplete similarity theory to both kinetic and density-weighted energy spectrum and showed that, within the initial subrange, both energy spectrums approach the -5/3 power law of the wavenumber, when the Mach number $M$ tends to be naught, unity and infinity, respectively.
description: 9 pages, 2 figures, part of the work has been presented to Africomp-2015, 7-9 Jan. 2015, Marrakech, Morocco
title: Asthma and Small Airways Dysfunction
titleType: Other
Creators: name: Kuo, RuiWen
Publisher: name: University of Dundee
Year: 2023

description: This thesis focused on examining the small airways dysfunction phenotype, determined by forced oscillation technique (FOT) on a variety of asthma outcome measures. The introduction provides a detailed summary of the pathophysiology of asthma in relation to small airways dysfunction (SAD) including different tools available to assess SAD in asthmatic patients. The impact of asthma treatments with conventional inhalers and biologic treatments on small airway asthma phenotype is also discussed comprehensively. In this thesis, FOT was used to investigate the impact of SAD in patients with asthma.

The first study presented in Chapter 3 is a cross-sectional study examining the use of two FOT devices namely impulse oscillometry (IOS) and airwave oscillometry (AOS) in patients with asthma and COPD. The two cross-sectional studies presented in Chapter 4 examine the relation of SAD to asthma control and type-2 inflammation. Chapter 5 describes two cross-sectional studies with the first study evaluating IOS defined bronchodilator response in relation to asthma control whereas the second study evaluating asthma control and lung function in relation to allergic status. Chapter 6 represents a prospective study to assess patient-reported outcomes after switching from fine to extra-fine particle inhaled corticosteroids (ICS) in persistent asthma.

The final study also known as the FOSTER1, is a randomised controlled study comparing two formulations of inhalers on respiratory impedance using IOS in asthmatic patients. The study was terminated prematurely by the Sponsor as the recruitment was hampered by COVID pandemic lockdown and lung function testing procedures including bronchial challenge were considered aerosol generation at that time. Moreover, the batch of bespoke investigational inhalers was due to expire and the cost to manufacture a new batch of inhalers proved to be prohibitive within the overall budget for the study. However, nine participants completed per protocol and the results are presented in Chapter 7 of this thesis.
Is ginger effective for the treatment of irritable bowel syndrome? A double blind randomized controlled pilot trial
Creators: name: van Tilburg, Miranda A.L.
name: Whitehead, William E.
name: Palsson, Olafur S.
name: Ringel, Yehuda
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2014

description: Ginger is one of the most commonly used herbal medicine for Irritable Bowel Syndrome (IBS) but no data exists about its effectiveness.
Cell Migration
Creators: name: Trepat, Xavier
name: Chen, Zaozao
name: Jacobson, Ken
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2012

description: Cell migration is fundamental to establishing and maintaining the proper organization of multicellular organisms. Morphogenesis can be viewed as a consequence, in part, of cell locomotion, from large-scale migrations of epithelial sheets during gastrulation, to the movement of individual cells during development of the nervous system. In an adult organism, cell migration is essential for proper immune response, wound repair, and tissue homeostasis, while aberrant cell migration is found in various pathologies. Indeed, as our knowledge of migration increases, we can look forward to, for example, abating the spread of highly malignant cancer cells, retarding the invasion of white cells in the inflammatory process, or enhancing the healing of wounds. This article is organized in two main sections. The first section is devoted to the single-cell migrating in isolation such as occurs when leukocytes migrate during the immune response or when fibroblasts squeeze through connective tissue. The second section is devoted to cells collectively migrating as part of multicellular clusters or sheets. This second type of migration is prevalent in development, wound healing, and in some forms of cancer metastasis.
Theory of rheology in confinement
Creators: name: Aerov, Artem A.
name: Krüger, Matthias
Publisher: name: arXiv
Year: 2014
Subjects: subject: Soft Condensed Matter (cond-mat.soft)
subject: FOS: Physical sciences

description: The viscosity of fluids is generally understood in terms of kinetic mechanisms, i.e., particle collisions, or thermodynamic ones as imposed through structural distortions upon e.g. applying shear. Often the former is less relevant, and (damped) Brownian particles are considered good fluid model systems. We formulate a general theoretical approach for rheology in confinement, based on the many particle diffusion equation, evaluated via classical density functional theory. We discuss the viscosity for the situation of two parallel walls in relative motion as a function of wall-to-wall distance.
description: 5 pages, 3 figures
Prevalence and Correlates of Fire-Setting in the United States: Results from the National Epidemiologic Survey on Alcohol and Related Conditions
Creators: name: Fu, Qiang
name: Wright, John Paul
name: Vaughn, Michael G.
name: Beaver, Kevin M.
name: Howard, Matthew O.
name: DeLisi, Matt
name: Perron, Brian E.
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2010

description: Fire-setting is a serious and costly form of antisocial behavior. Our objective in this study was to examine the prevalence and correlates of intentional fire-setting behavior in the U. S. Data were derived from a nationally representative sample of U.S. residents 18 years and older. Structured psychiatric interviews (N = 43,093) were completed by trained lay interviewers between 2001-2002. Fire-setting and DSM-IV mood, anxiety, substance use and personality disorders were assessed with the Alcohol Use Disorder and Associated Disabilities Interview Schedule (DSM-IV) version. The prevalence of lifetime fire-setting in the U.S. population was 1.0%. Respondents who were men, Caucasian, 18 to 35, born in the U.S., and living in the western region of the U.S. had significantly higher rates of fire-setting than their counterparts. Fire-setting was significantly associated a wide range of antisocial behaviors. Multivariate logistic regression analyses identified strong associations between lifetime alcohol and marijuana use disorders, conduct disorder, antisocial and obsessive-compulsive personality disorders, and family history of antisocial behavior. Intentional illicit fire-setting behavior is associated with a broad array of antisocial behaviors and psychiatric comorbidities. Given the substantial personal and social costs related to arson, prevention and treatment interventions targeting fire-setters potentially could save lives and property.
Self-image and suicide in a Swedish national eating disorders clinical register
Creators: name: Pisetsky, Emily M.
name: Bulik, Cynthia M.
name: Runfola, Cristin D.
name: Birgegård, Andreas
name: Thornton, Laura M.
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2014

description: Using a prospective design, to examine the relation between self-image (assessed using the Structural Analysis of Social Behavior) and suicide attempts/completions in women with anorexia nervosa-restricting type (ANR), anorexia nervosa-binge/purge type (ANBP), bulimia nervosa (BN), binge eating disorder, and eating disorder not otherwise specified (EDNOS); and to assess whether these self-image variables add unique predictive value to suicide when considering other baseline predictors.
Sensory intolerance: Latent structure and psychopathologic correlates
Creators: name: Conelea, Christine A.
name: Taylor, Steven
name: McKay, Dean
name: Crowe, Katherine B.
name: Abramowitz, Jonathan S.
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2014

description: Sensory intolerance refers to high levels of distress evoked by everyday sounds (e.g., sounds of people chewing) or commonplace tactile sensations (e.g., sticky or greasy substances). Sensory intolerance may be associated with obsessive-compulsive (OC) symptoms, OC-related phenomena, and other forms of psychopathology. Sensory intolerance is not included as a syndrome in current diagnostic systems, although preliminary research suggests that it might be a distinct syndrome.
Evaluation fo Dinitrogen Fixation and Yield of Soybean Cultivars under Conditions of Zero and Conventional Tillage by 15N Technique
Creators: name: Chantana Siripaibool
Publisher: name: Department of Agriculture
Year: 1999
Subjects: dinitrogen fixation
soybean cultivars
effect of tillage

description: Thai Agricultural Research Journal, 17, 2, 116-128
Axonopsis (Navinaxonopsis) abnormipes Cook 1967
Creators: name: Pešić, Vladimir
name: Chatterjee, Tapas
name: Bordoloi, Sabitry
Publisher: name: Zenodo
Year: 2010
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Arachnida
Trombidiformes
Axonopsidae
Axonopsis
Axonopsis abnormipes

description: Axonopsis (Navinaxonopsis) abnormipes Cook, 1967
Records from the study area: Maharashtra—Cook (1967); Prasad (1974).
Habitat: Streams.
Distribution: India.
description: Published as part of Pešić, Vladimir, Chatterjee, Tapas & Bordoloi, Sabitry, 2010, A checklist of the water mites (Acari: Hydrachnidia) of India, with new records and description of one new species, pp. 1-54 in Zootaxa 2617 (1) on page 20, DOI: 10.11646/zootaxa.2617.1.1, http://zenodo.org/record/197964
A systems chemical biology study of malate synthase and isocitrate lyase inhibition in Mycobacterium tuberculosis during active and NRP growth
Creators: name: Tropsha, Alexander
name: May, Elebeoba E.
name: Oprea, Tudor I.
name: Leitão, Andrei
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2013

description: The ability of Mycobacterium tuberculosis (Mtb) to survive in low oxygen environments enables the bacterium to persist in a latent state within host tissues. In vitro studies of Mtb growth have identified changes in isocitrate lyase (ICL) and malate synthase (MS) that enable bacterial persistent under low oxygen and other environmentally limiting conditions. Systems chemical biology (SCB) enables us to evaluate the effects of small molecule inhibitors not only on the reaction catalyzed by malate synthase and isocitrate lyase, but the effect on the complete tricarboxylic acid cycle (TCA) by taking into account complex network relationships within that system.
Algebraic QFT in Curved Spacetime and quasifree Hadamard states: an introduction
Creators: name: Khavkine, Igor
name: Moretti, Valter
Publisher: name: arXiv
Year: 2014
Subjects: subject: Mathematical Physics (math-ph)
subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: Within this chapter (published as [49]) we introduce the overall idea of the algebraic formalism of QFT on a fixed globally hyperbolic spacetime in the framework of unital $*$-algebras. We point out some general features of CCR algebras, such as simplicity and the construction of symmetry-induced homomorphisms. For simplicity, we deal only with a real scalar quantum field. We discuss some known general results in curved spacetime like the existence of quasifree states enjoying symmetries induced from the background, pointing out the relevant original references. We introduce, in particular, the notion of a Hadamard quasifree algebraic quantum state, both in the geometric and microlocal formulation, and the associated notion of Wick polynomials.
description: v3: better discussion of Unitary Equivalence, thanks to comments of Ko Sanders. v2: minor corrections, added reference to older work by Sahlmann and Verch. v1: 59 pages, 4 figures. arXiv admin note: text overlap with arXiv:1008.1776 by other authors
The use of plasmodes as a supplement to simulations: A simple example evaluating individual admixture estimation methodologies
Creators: name: Pomp, Daniel
name: Redden, David T.
name: Divers, Jasmin
name: Padilla, Miguel A.
name: Tiwari, Hemant K.
name: Allison, David B.
name: Vaughan, Laura K.
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2009

description: With the advent of powerful computers, simulation studies are becoming an important tool in statistical methodology research. However, computer simulations of a specific process are only as good as our understanding of the underlying mechanisms. An attractive supplement to simulations is the use of plasmode datasets. Plasmodes are data sets that are generated by natural biologic processes, under experimental conditions that allow some aspect of the truth to be known. The benefit of the plasmode approach is that the data are generated through completely natural processes, thus circumventing the common concern of the realism and accuracy of computer simulated data. The estimation of admixture, or the proportion of an individual’s genome that originates from different founding populations, is a particularly difficult research endeavor that is well suited to the use of plasmodes. Current methods have been tested with simulations of complex populations where the underlying mechanisms such as the rate and distribution of recombination are not well understood. To demonstrate the utility of this method data derived from mouse crosses is used to evaluate the effectiveness of several admixture estimation methodologies. Each cross shares a common founding population so that the ancestry proportion for each individual is known, allowing for the comparison of true and estimated individual admixture values. Analysis shows that the different estimation methodologies (Structure, AdmixMap and FRAPPE) examined all perform well with simple datasets. However, the performance of the estimation methodologies varied greatly when applied to a plasmode consisting of three founding populations. The results of these examples illustrate the utility of plasmodes in the evaluation of statistical genetics methodologies.
A random effects epidemic-type aftershock sequence model
Creators: name: Lin, Feng-Chang
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2011

description: We consider an extension of the temporal epidemic-type aftershock sequence (ETAS) model with random effects as a special case of a well-known doubly stochastic self-exciting point process. The new model arises from a deterministic function that is randomly scaled by a nonnegative random variable, which is unobservable but assumed to follow either positive stable or one-parameter gamma distribution with unit mean. Both random effects models are of interest although the one-parameter gamma random effects model is more popular when modeling associated survival times. Our estimation is based on the maximum likelihood approach with marginalized intensity. The methods are shown to perform well in simulation experiments. When applied to an earthquake sequence on the east coast of Taiwan, the extended model with positive stable random effects provides a better model fit, compared to the original ETAS model and the extended model with one-parameter gamma random effects.
Tuning the scattering mechanism in three-dimensional Dirac semimetal Cd$_{3}$As$_{2}$
Creators: name: Pariari, A.
name: Khan, N.
name: Singha, R.
name: Satpati, B.
name: Mandal, P.
Publisher: name: arXiv
Year: 2015
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: To probe the charge scattering mechanism in Cd$_{3}$As$_{2}$ single crystal, we have analyzed the temperature and magnetic field dependence of the Seebeck coefficient ($S$). The large saturation value of $S$ at high field clearly demonstrates the linear energy dispersion of three-dimensional Dirac fermion. A wide tunability of the charge scattering mechanism has been realized by varying the strength of the magnetic field and carrier density via In doping. With the increase in magnetic field, the scattering time crosses over from being nearly energy independent to a regime of linear dependence. On the other hand, the scattering time enters into the inverse energy-dependent regime and the Fermi surface strongly modifies with 2\% In doping at Cd site. With further increase in In content from 2 to 4\%, we did not observe any Shubnikov-de Haas oscillation up to 9 T field, but the magnetoresistance is found to be quite large as in the case of undoped sample.
description: 11 pages, 13 figures
Kernel continuum regression
Creators: name: Liu, Yufeng
name: Lee, Myung Hee
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2013

description: The continuum regression technique provides an appealing regression framework connecting ordinary least squares, partial least squares and principal component regression in one family. It offers some insight on the underlying regression model for a given application. Moreover, it helps to provide deep understanding of various regression techniques. Despite the useful framework, however, the current development on continuum regression is only for linear regression. In many applications, nonlinear regression is necessary. The extension of continuum regression from linear models to nonlinear models using kernel learning is considered. The proposed kernel continuum regression technique is quite general and can handle very flexible regression model estimation. An efficient algorithm is developed for fast implementation. Numerical examples have demonstrated the usefulness of the proposed technique.
A SAS macro for a clustered logrank test
Creators: name: Gagnon, David R.
name: Stedman, Margaret R.
name: Brookhart, M.Alan
name: Lew, Robert A.
name: Jung, Sin-Ho
name: Losina, Elena
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2011

description: The clustered logrank test is a nonparametric method of significance testing for correlated survival data. Examples of its application include cluster randomized trials where groups of patients rather than individuals are randomized to either a treatment or control intervention. We describe a SAS macro that implements the 2-sample clustered logrank test for data where the entire cluster is randomized to the same treatment group. We discuss the theory and applications behind this test as well as details of the SAS code.
Bitcoin price determinants and valuation framework
Creators: name: Zhou, Bi
Publisher: name: Macquarie University
Year: 2022
Subjects: Other education not elsewhere classified

description: This paper investigates the value of Bitcoin both empirically and theoretically. Based on the market data from January 2012 to July 2021, this paper empirically examines the significance of thirty-eight potential price determinants of Bitcoin. Specifically, the study applies the “Least Absolute Shrinkage and Selection Operator” (LASSO) framework to investigate a range of drivers, including Bitcoin-unique factors, public attention, macro indicators and financial assets returns. The paper also splits the sample period into four sub-periods and by calendar year to analyse the evolvement of Bitcoin price formation over time. Consistent with prior studies, findings confirm the significant impact of demand factors, network growth, investor sentiment and negative public attention on Bitcoin returns, whereas equities, bonds, interest rates and the US monetary stimulus are found to be largely irrelevant. Meanwhile, in contrast to prior studies that suggest Bitcoin return is positively associated with public attention, this study finds a robust negative relationship between the two. In addition, significant time variance is observed and confirms that the Bitcoin return determination is dynamic. Furthermore, the paper is the first to investigate and evidence the crucial and positive impact of inflation expectations and non-energy commodity returns in Bitcoin price determination, especially since January 2018. Theoretically, the paper extends a Bitcoin fundamental valuation framework based on a demand and supply equilibrium model and use case approaches to predict the fundamental value of Bitcoin once it reaches a steady status and is accepted as money. The valuation results show that the probability-weighted Bitcoin fair value is $23,359, suggesting the current Bitcoin market has fully priced in the most optimistic scenario and underestimates the regulation risks.
Eco-friendly novel adsorbents composed of hybrid compounds for efficient adsorption of methylene blue and Congo red dyes: Kinetic and thermodynamic studies
Creators: name: Baig, Mirza Talha
name: Kayan, Asgar
Publisher: name: Taylor & Francis
Year: 2023
Subjects: subject: Medicine
subject: Biotechnology
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Ecology
subject: FOS: Biological sciences
subject: Developmental Biology

description: As a result of rapid modernization caused by industrial growth, drinking water is constantly polluted by various dyes. Hence, the health and environmental concerns associated with toxic dyes have received serious attention from communities around the world. In this work, novel adsorbents (Ti-Arg-TES and Ti-Tyr-C-APTMS) consisting of Ti/Si-alkoxides/amino acids with and without cellulose in 1:1:1 mol ratio were synthesized in methanol using sol-gel method. The synthesized novel organic-inorganic hybrid compounds as adsorbents were characterized by a combination of FTIR, XRD, SEM, EDS, BET, BJH, and other analysis methods. Then, their removal behaviors and possible mechanisms for methylene blue (MB) and Congo red (CR) dyes were systematically investigated. Batch adsorption experiments revealed that the adsorption process between these novel adsorbents and MB or CR dyes conformed to pseudo-second-order kinetics (R2 = 0.999 for MB, and R2 = 0.988 for CR) and both Langmuir (R2 = 0.970 for MB, and R2 = 0.955 for CR) and Freundlich (R2 = 0.953 for MB and CR) isotherm models, demonstrating a hybrid chemical/physical adsorption process. The maximum adsorption capacity was 57.14 mg/g for MB of Ti-Arg-TES and 83.05 mg/g for CR of Ti-Tyr-C-APTMS. Ti-Arg-TES and Ti-Tyr-C-APTMS adsorbents exhibited an excellent affinity for capturing MB and CR dyes from aqueous solution, respectively.
AFMPB: An adaptive fast multipole Poisson–Boltzmann solver for calculating electrostatics in biomolecular systems
Creators: name: Lu, Benzhuo
name: Cheng, Xiaolin
name: McCammon, J. Andrew
name: Huang, Jingfang
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2010

description: A Fortran program package is introduced for rapid evaluation of the electrostatic potentials and forces in biomolecular systems modeled by the linearized Poisson-Boltzmann equation. The numerical solver utilizes a well-conditioned boundary integral equation (BIE) formulation, a node-patch discretization scheme, a Krylov subspace iterative solver package with reverse communication protocols, and an adaptive new version of fast multipole method in which the exponential expansions are used to diagonalize the multipole to local translations. The program and its full description, as well as several closely related libraries and utility tools are available at http://lsec.cc.ac.cn/lubz/afmpb.html and a mirror site at http://mccammon.ucsd.edu/. This paper is a brief summary of the program: the algorithms, the implementation and the usage.
THE EFFICACY OF TECHNOLOGY-ENHANCED BPT WITHIN FAMILIES WITH LOW INCOME: PARENT-CENTERED PROFILES AS A MODERATOR OF TREATMENT OUTCOMES
Creators: name: Yang, Yexinyu
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2023

description: Children from financially disadvantaged families are at greater risk of early-onsetBehavior Disorders but often benefit less from Behavior Parent Training (BPT). Technology-Enhancements (TE-) to one BPT program, Helping the Noncompliant Child (HNC), were testedin a randomized controlled trial with low-income families and evidenced better parenting andchild outcomes at follow-up but not at immediate post-treatment, leading us to ask for whom TEHNCis optimal at post-treatment? Secondary analyses were conducted to 1) create parentcenteredprofiles based on pre-treatment factors and 2) explore if the profiles moderate treatmentoutcomes at post-treatment. As anticipated, latent profile analyses yielded four distinct parentcenteredprofiles. Furthermore, significant moderation effects were observed, suggestingdifferential treatment outcomes of HNC versus TEHNC for parenting practice and child behaviorintensity, but not parents’ perception of child problem behaviors. Results highlight howvariability within families with low income may guide future personalization of BPT towardimproved treatment efficacy.
Collaborative digital writing and metacognitive knowledge in writing among TEFL students: the mediating role of online knowledge sharing
Creators: name: Farahian, Majid
name: Ebadi, Saman
Publisher: name: figshare
Year: 2022
Subjects: subject: 200401 Applied Linguistics and Educational Linguistics
subject: FOS: Languages and literature

description: Previous studies indicate that metacognitive knowledge has a key role in learning and that collaborative learning and knowledge sharing may affect learners’ metacognition. As such, the present study set out to test a structural model of teaching English as a foreign language (TEFL) students’ collaborative digital writing, online knowledge sharing, and metacognitive knowledge in writing, and specifically to examine the hypothesis that online knowledge sharing mediates the effect of collaborative digital writing and metacognitive knowledge in writing. With the participants of 102 Iranian TEFL undergraduate students, a structural equation modeling (SEM) was employed to establish the structural model. The findings revealed the fitness of the structural model of relationships among the study variables. The results also confirmed the mediator role of knowledge sharing. The implications of the findings about knowledge sharing, attitude to collaborative digital writing, and metacognitive knowledge in writing are discussed.
HPAM: Hirshfeld partitioned atomic multipoles
Creators: name: Perera, Lalith
name: Elking, Dennis M.
name: Pedersen, Lee G.
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2012

description: An implementation of the Hirshfeld (HD) and Hirshfeld-Iterated (HD-I) atomic charge density partitioning schemes is described. Atomic charges and atomic multipoles are calculated from the HD and HD-I atomic charge densities for arbitrary atomic multipole rank lmax on molecules of arbitrary shape and size. The HD and HD-I atomic charges/multipoles are tested by comparing molecular multipole moments and the electrostatic potential (ESP) surrounding a molecule with their reference ab initio values. In general, the HD-I atomic charges/multipoles are found to better reproduce ab initio electrostatic properties over HD atomic charges/multipoles. A systematic increase in precision for reproducing ab initio electrostatic properties is demonstrated by increasing the atomic multipole rank from lmax = 0 (atomic charges) to lmax = 4 (atomic hexadecapoles). Both HD and HD-I atomic multipoles up to rank lmax are shown to exactly reproduce ab initio molecular multipole moments of rank L for L ≤ lmax. In addition, molecular dipole moments calculated by HD, HD-I, and ChelpG atomic charges only (lmax = 0) are compared with reference ab initio values. Significant errors in reproducing ab initio molecular dipole moments are found if only HD or HD-I atomic charges used.
Quantum nonlocality in the excitation energy transfer in the Fenna-Matthews-Olson complex
Creators: name: Bengtson, Charlotta
name: Stenrup, Michael
name: Sjöqvist, Erik
Publisher: name: arXiv
Year: 2015
Subjects: subject: Quantum Physics (quant-ph)
subject: Biological Physics (physics.bio-ph)
subject: FOS: Physical sciences

description: The Fenna-Matthews-Olson (FMO) complex - a pigment protein complex involved in photosynthesis in green sulfur bacteria - is remarkably efficient in transferring excitation energy from light harvesting antenna molecules to a reaction center. Recent experimental and theoretical studies suggest that quantum coherence and entanglement may play a role in this excitation energy transfer (EET). We examine whether bipartite quantum nonlocality, a property that expresses a stronger-than-entanglement form of correlation, exists between different pairs of chromophores in the FMO complex when modeling the EET by the hierarchically coupled equations of motion method. We compare the results for nonlocality with the amount of bipartite entanglement in the system. In particular, we analyze in what way these correlation properties are affected by different initial conditions. It is found that bipartite nonlocality only exists when the initial conditions are chosen in an unphysiological manner and probably is absent when considering the EET in the FMO complex in its natural habitat. It is also seen that nonlocality and entanglement behave quite differently in this system. In particular, for localized initial states, nonlocality only exists on a very short time scale and then drops to zero in an abrupt manner. As already known from previous studies, quantum entanglement between chromophore pairs on the other hand is oscillating and exponentially decaying and follow thereby a pattern more similar to the chromophore population dynamics. The abrupt disappearance of nonlocality in the presence of nonvanishing entanglement is a phenomenon we call nonlocality sudden death; a striking manifestation of the difference between these two types of correlations in quantum systems.
description: Revised version; journal reference added
Suitable Time of Using Carbon Dioxide Fumigation for Controlling Aspergillus flavus and Aflatoxin Contamination in High Moisture Maize
Creators: name: Werawat Nilrattanakoon
Publisher: name: Department of Agriculture
Year: 1999
Subjects: carbon dioxide
fumigation
aflatoxin
high moisture maize

description: Thai Agricultural Research Journal, 17, 2, 205-212
Microwave-assisted extract of rhodomyrtone from rhodomyrtus tomentosa leaf: Anti-inflammatory, antibacterial, antioxidant, and safety assessment of topical rhodomyrtone formulation
Creators: name: Ontong, Julalak Chorachoo
name: Singh, Sudarshan
name: Nwabor, Ozioma Forstinus
name: Chusri, Sarunyou
name: Kaewnam, Wijittra
name: Kanokwiroon, Kanyanatt
name: Septama, Abdi Wira
name: Panichayupakaranant, Pharkphoom
name: Voravuthikunchai, Supayang Piyawan
Publisher: name: Taylor & Francis
Year: 2023
Subjects: subject: Biochemistry
subject: Cell Biology
subject: Molecular Biology
subject: Pharmacology
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Immunology
subject: FOS: Clinical medicine
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: Developmental Biology
subject: Cancer

description: Series of works on the biological properties of rhodomyrtone, a major active component of Rhodomyrtus tomentosa leaf has been reported. In this study, rhodomyrtone-rich microwave-assisted extract from R. tomentosa leaf (RT-MAE) before formulation was profiled for phytochemical composition using gas chromatography-mass spectrometry (GC-MS) and targeted for anti-inflammatory activity with topical application. The formulation was assessed for bioactivity, biocompatibility, and safety on human volunteers. The GC-MS spectra indicated a rich content of phytosterols, sesquiterpenes, and acylphloroglucinols. At concentrations 50–600 ng/mL, RT-MAE before formulation treated macrophages showed >86% cell viability. Nitric oxide production significantly decreased by 19.26–88.36% following the treatment with 50–600 ng/mL RT-MAE before formulation (p < 0.001). Moreover, a significant (p < 0.01) concentration-dependent downregulation of lipopolysaccharide-induced IL-6, IL-1β, iNOS, and COX-2 mRNA was observed in RT-MAE before formulation treated macrophages. The extract demonstrated minimum inhibitory (MIC) and minimum bactericidal concentration (MBC) at 0.25–4 and 1–16 μg/mL, respectively. The antioxidant activity of RT-MAE before formulation indicated IC50 of 0.16 and 0.06 ug/mL for DPPH and ABTS assays, respectively. Ex-vivo diffusion of rhodomyrtone from formulation showed steady-state flux 64.935 ng/cm2 h, with >80% viability on HaCaT cells. Safety assessment of formulation containing RT-MAE after formulation was conducted on healthy volunteers. Hematological and biochemical analysis showed no significant difference between test and baseline (p < 0.05). The results suggested that the formulation can be effectively employed as a topical inflammatory agent.
Learning Theory for Distribution Regression
Creators: name: Szabo, Zoltan
name: Sriperumbudur, Bharath
name: Poczos, Barnabas
name: Gretton, Arthur
Publisher: name: arXiv
Year: 2014
Subjects: subject: Statistics Theory (math.ST)
subject: Machine Learning (cs.LG)
subject: Functional Analysis (math.FA)
subject: Machine Learning (stat.ML)
subject: FOS: Mathematics
subject: FOS: Computer and information sciences
subject: G.3; I.2.6
subject: 62G08, 46E22, 47B32

description: We focus on the distribution regression problem: regressing to vector-valued outputs from probability measures. Many important machine learning and statistical tasks fit into this framework, including multi-instance learning and point estimation problems without analytical solution (such as hyperparameter or entropy estimation). Despite the large number of available heuristics in the literature, the inherent two-stage sampled nature of the problem makes the theoretical analysis quite challenging, since in practice only samples from sampled distributions are observable, and the estimates have to rely on similarities computed between sets of points. To the best of our knowledge, the only existing technique with consistency guarantees for distribution regression requires kernel density estimation as an intermediate step (which often performs poorly in practice), and the domain of the distributions to be compact Euclidean. In this paper, we study a simple, analytically computable, ridge regression-based alternative to distribution regression, where we embed the distributions to a reproducing kernel Hilbert space, and learn the regressor from the embeddings to the outputs. Our main contribution is to prove that this scheme is consistent in the two-stage sampled setup under mild conditions (on separable topological domains enriched with kernels): we present an exact computational-statistical efficiency trade-off analysis showing that our estimator is able to match the one-stage sampled minimax optimal rate [Caponnetto and De Vito, 2007; Steinwart et al., 2009]. This result answers a 17-year-old open question, establishing the consistency of the classical set kernel [Haussler, 1999; Gaertner et. al, 2002] in regression. We also cover consistency for more recent kernels on distributions, including those due to [Christmann and Steinwart, 2010].
description: Final version appeared at JMLR, with supplement. Code: https://bitbucket.org/szzoli/ite/. arXiv admin note: text overlap with arXiv:1402.1754
Magnetic solid-phase extraction of atrazine with ACC@NiCo2O4@Fe3O4 nanocomposite in spice and water samples
Creators: name: Ozalp, Ozgur
name: Gumus, Z. Pinar
name: Soylak, Mustafa
Publisher: name: Taylor & Francis
Year: 2023
Subjects: subject: Biochemistry
subject: Space Science
subject: Cell Biology
subject: Biotechnology
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Ecology
subject: FOS: Biological sciences
subject: 69999 Biological Sciences not elsewhere classified
subject: Inorganic Chemistry

description: A simple, environmentally friendly, effective and selective magnetic solid-phase extraction method (MSPE) has been developed for the separation and quantitative determination of atrazine from spices and water samples before liquid chromatographic (LC) analysis. Activated carbon cloth@NiCo2O4@Fe3O4 was characterized by Fourier transform infrared spectroscopy (FT-IR), X-ray photoelectron spectroscopy (XPS), X-ray diffraction spectrometry (XRD), Brunauer–Emmett–Teller (BET), and scanning electron microscopy with energy distribution X-Ray detector (SEM-EDX) techniques. The developed MSPE-LC procedure was optimized in terms of pH, adsorbent amount, adsorption time, eluent type and volume, interference parameters and the pre-concentration factor and extraction efficiency at optimum conditions were determined. In the determination of atrazine, it was observed that the activated carbon cloth@NiCo2O4@Fe3O4 nanocomposite could be reused at least 25 times by applying the adsorption-desorption cycle. According to best extraction efficiency of parameters for the extraction and determination of atrazine from spices and water samples were determined as pH 7, adsorbent amount of 0 mg, total adsorption-desorption time of 5 minutes, and enrichment factor of 20. The recovery values of the magnetic solid-phase extraction method in spices and water samples under optimum conditions are between 91% and 94%. Analysis of trace levels of atrazine, limit of detection (LOD) and limit of quantification (LOQ) were determined by HPLC-DAD method with 0.5 ng mL−1 and 1.7 ng mL−1, respectively. Sample applications with high recovery values performed with the MSPE-LC method were confirmed by liquid chromatography quadrupole time-of-flight mass spectrometry (LC-Q-TOF/MS) for spices and water samples.
Multicultural competence and factors influencing its development: the case of Greek pre-service teachers
Creators: name: Peny Sotiropoulou
Publisher: name: Loughborough University
Year: 2019
Subjects: subject: 49999 Earth Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences

description: This thesis examines pre-service teachers’ multicultural competence and the factors influencing its development, taking Greece as a case study. Multicultural competence is a concept used frequently to describe teachers’ knowledge, attitudes and skills related to making educational experiences relevant to all students while also taking into consideration their diverse backgrounds. Despite featuring highly in academic literature and policy agendas worldwide, pre-service teachers’ multicultural competence and the factors influencing it are to-date rarely examined. Bringing together literature from multicultural competence, multicultural teacher training and geographies of education and learning, this thesis contributes to an increased understanding of the concept and its main drivers.This study uses an innovative mixed-methods approach to capture more holistically the complex concept of multicultural competence and the factors influencing it, utilising the construction of a statistical model and path analysis with focus group discussions. The empirical dataset comprises 356 questionnaires completed by final-year undergraduate students of Primary Education from three departments in Greece and 6 focus group discussions with students recruited (out of the same pool of participants), conducted equally across the three departments, in which questionnaires were administered. Thus, this study contributes to geographies of education and learning by bringing together a direct engagement with young people, making them the subject of educational research, with an exploration of the influence of wider processes of formal and informal educational spaces on their learning.The study’s findings show that, although based crudely on the quantitative scalar measurements, Greek pre-service teachers’ multicultural competence scores are relatively high, their narratives present a more complex reality, revealing misconceptions around its practical manifestations and a general lack in multicultural teaching knowledge and skills with a social justice orientation. Moreover, the study traces webs of causal connections between multicultural competence and pre-service teachers’ sociocultural positionalities, experiences of international mobilities, multicultural encounters as well as experiences of both formal and informal curricula across diverse spaces of learning. In doing so, the study reveals the importance of thinking relationally about the spatialisation of multicultural competence and offers invaluable insights to the academic literature and policy debates around the best ways to prepare multiculturally competent educators.
2D/3D image registration using regression learning
Creators: name: Pizer, Stephen
name: Frederick, Brandon
name: Mageras, Gig
name: Chou, Chen-Rui
name: Chang, Sha
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2013

description: In computer vision and image analysis, image registration between 2D projections and a 3D image that achieves high accuracy and near real-time computation is challenging. In this paper, we propose a novel method that can rapidly detect an object’s 3D rigid motion or deformation from a 2D projection image or a small set thereof. The method is called CLARET (Correction via Limited-Angle Residues in External Beam Therapy) and consists of two stages: registration preceded by shape space and regression learning. In the registration stage, linear operators are used to iteratively estimate the motion/deformation parameters based on the current intensity residue between the target projec-tion(s) and the digitally reconstructed radiograph(s) (DRRs) of the estimated 3D image. The method determines the linear operators via a two-step learning process. First, it builds a low-order parametric model of the image region’s motion/deformation shape space from its prior 3D images. Second, using learning-time samples produced from the 3D images, it formulates the relationships between the model parameters and the co-varying 2D projection intensity residues by multi-scale linear regressions. The calculated multi-scale regression matrices yield the coarse-to-fine linear operators used in estimating the model parameters from the 2D projection intensity residues in the registration. The method’s application to Image-guided Radiation Therapy (IGRT) requires only a few seconds and yields good results in localizing a tumor under rigid motion in the head and neck and under respiratory deformation in the lung, using one treatment-time imaging 2D projection or a small set thereof.