Showing papers by "University of North Texas published in 2019"
TL;DR: This survey paper aims to offer a detailed overview of existing distributed optimization algorithms and their applications in power systems, and focuses on the application of distributed optimization in the optimal coordination of distributed energy resources.
468 citations
TL;DR: Experimental results demonstrate that the proposed feature selection method effectively reduces the dimensions of the dataset and achieves superior classification accuracy using the selected features.
353 citations
Peking University1, Chinese Academy of Sciences2, Beijing Jishuitan Hospital3, University of Science and Technology Beijing4, University of North Texas5, Tianjin University6, Li Ka Shing Faculty of Medicine, University of Hong Kong7, Shandong University of Science and Technology8, Xi'an Jiaotong University9, Zhengzhou University10
TL;DR: In this article, the dual criteria of biodegradability and biocompatibility are proposed for BMs, and all metallic elements in the periodic table with accessible data are screened on the basis of these criteria.
Abstract: Until now there has been no fundamental theory applicable for biodegradable metals (BMs). First, this paper optimizes the definition of BMs given in 2014. Second, the dual criteria of biodegradability and biocompatibility are proposed for BMs, and all metallic elements in the periodic table with accessible data are screened on the basis of these criteria. Regarding biodegradability, electrode potential, reactivity series, galvanic series, Pilling–Bedworth ratio, and Pourbaix diagrams are all adopted as parameters to classify the degradable and nondegradable nature of a material, especially in a physiological environment. Considering the biocompatibility at different levels, cellular biocompatibility, tissue biocompatibility, and human/clinical related biocompatibility parameters are put forward to comprehensively evaluate the biosafety of BMs. Third, for the material design of BMs, mechanical properties, chemical properties, physical properties and biological properties should be considered and balanced to guarantee that the degradation behavior of BMs match well with a tissue regeneration/repair procedure as the function of time and spatial location. Besides the selected metallic elements, some nonmetallic elements are selected as suitable alloying elements for BMs. Finally, five classification/research directions for future BMs are proposed: biodegradable pure metals, crystalline alloys, bulk metallic glasses, high entropy alloys, and metal matrix composites.
265 citations
National Renewable Energy Laboratory1, University of North Texas2, North Carolina State University3, Duke University4, Fritz Haber Institute of the Max Planck Society5, Lawrence Berkeley National Laboratory6, Central Michigan University7, École Polytechnique Fédérale de Lausanne8, University of Maryland, College Park9, National Institute of Standards and Technology10, Northwestern University11, Stanford University12, Texas A&M University13, Colorado School of Mines14, Yonsei University15, Imperial College London16, Sungkyunkwan University17, University of Toronto18, General Electric19, California Institute of Technology20, Ruhr University Bochum21, University of California, Berkeley22, University of Pennsylvania23, China Academy of Engineering Physics24
TL;DR: In this paper, the authors present an overview of the current state of computational materials prediction, synthesis and characterization approaches, materials design needs for various technologies, and future challenges and opportunities that must be addressed.
Abstract: Advances in renewable and sustainable energy technologies critically depend on our ability to design and realize materials with optimal properties. Materials discovery and design efforts ideally involve close coupling between materials prediction, synthesis and characterization. The increased use of computational tools, the generation of materials databases, and advances in experimental methods have substantially accelerated these activities. It is therefore an opportune time to consider future prospects for materials by design approaches. The purpose of this Roadmap is to present an overview of the current state of computational materials prediction, synthesis and characterization approaches, materials design needs for various technologies, and future challenges and opportunities that must be addressed. The various perspectives cover topics on computational techniques, validation, materials databases, materials informatics, high-throughput combinatorial methods, advanced characterization approaches, and materials design issues in thermoelectrics, photovoltaics, solid state lighting, catalysts, batteries, metal alloys, complex oxides and transparent conducting materials. It is our hope that this Roadmap will guide researchers and funding agencies in identifying new prospects for materials design.
257 citations
College of William & Mary1, Macquarie University2, University of Kansas3, University of Amsterdam4, Pennsylvania State University5, University at Albany, SUNY6, Oklahoma State University–Stillwater7, University of Maryland, College Park8, University of Arizona9, Purdue University10, University of New South Wales11, Vanderbilt University12, Université de Montréal13, University of South Florida14, University of Utah15, University of Minnesota16, University of Liverpool17, Northwestern University18, Maastricht University19, King's College London20, Emory University21, University of Pittsburgh22, University of Kassel23, University of Toronto24, Southern Methodist University25, University of Hawaii at Manoa26, University of Notre Dame27, Medical Research Council28, University of California, Davis29, University of Vermont30, Georgia State University31, Florida State University32, University of North Texas33, Stony Brook University34
TL;DR: The Hierarchical Taxonomy of Psychopathology (HiTOP) as discussed by the authors is based on empirical patterns of co-occurrence among psychological symptoms, and it has the potential to accelerate and improve research on mental health problems as well as efforts to more effectively assess, prevent, and treat mental illness.
Abstract: For more than a century, research on psychopathology has focused on categorical diagnoses. Although this work has produced major discoveries, growing evidence points to the superiority of a dimensional approach to the science of mental illness. Here we outline one such dimensional system-the Hierarchical Taxonomy of Psychopathology (HiTOP)-that is based on empirical patterns of co-occurrence among psychological symptoms. We highlight key ways in which this framework can advance mental-health research, and we provide some heuristics for using HiTOP to test theories of psychopathology. We then review emerging evidence that supports the value of a hierarchical, dimensional model of mental illness across diverse research areas in psychological science. These new data suggest that the HiTOP system has the potential to accelerate and improve research on mental-health problems as well as efforts to more effectively assess, prevent, and treat mental illness.
225 citations
TL;DR: It is proposed that the integration of these signals is mediated through pulses of gene expression that are coordinated throughout the plant in a systemic manner by the ROS/Ca+2 waves.
217 citations
TL;DR: A review of zinc-based degradable biomaterials highlights recent developments, discusses obstacles to overcome, and pinpoints directions for future research.
201 citations
University of Florida1, University of North Texas Health Science Center2, Nova Southeastern University3, Norwegian Water Resources and Energy Directorate4, Alpen-Adria-Universität Klagenfurt5, University of North Carolina at Chapel Hill6, University of North Texas7, Gadjah Mada University8, University of Bergen9, Tongji University10, Manhattan College11, Nagasaki University12, University of Alabama13, National Cheng Kung University14
TL;DR: The research herein presented hypothesizes that climate change associated with extreme rainfall and population distribution is contributing to a higher number of deadly landslides worldwide.
196 citations
TL;DR: The capacity of SPIR is zero, regardless of the number of messages, if the databases have access to common randomness that is independent of the messages and in the amount that is at least two bits per desired message bit.
Abstract: Private information retrieval (PIR) is the problem of retrieving, as efficiently as possible, one out of $K$ messages from $N$ non-communicating replicated databases (each holds all $K$ messages) while keeping the identity of the desired message index a secret from each individual database. Symmetric PIR (SPIR) is a generalization of PIR to include the requirement that beyond the desired message, the user learns nothing about the other $K-1$ messages. The information theoretic capacity of SPIR (equivalently, the reciprocal of minimum download cost) is the maximum number of bits of desired information that can be privately retrieved per bit of downloaded information. We show that the capacity of SPIR is $1-1/N$ regardless of the number of messages $K$ , if the databases have access to common randomness (not available to the user) that is independent of the messages, in the amount that is at least $1/(N-1)$ bits per desired message bit. Otherwise, if the amount of common randomness is less than $1/(N-1)$ bits per message bit, then the capacity of SPIR is zero. Extensions to the capacity region of SPIR and the capacity of finite length SPIR are provided.
178 citations
TL;DR: This review provides a brief summary of state-of-art of surface biofunctionalization on implantable metals by CaP coatings and gives insight into the representative biofunctions, i.e. osteointegration, corrosion resistance and biodegradation control, and antibacterial property, provided by CaPs coatings for metallic implant materials.
158 citations
TL;DR: This study reveals that JA plays an important role in the acclimation of plants to a combination of HL+HS, and identifies several unique aspects of this stress combination that included enhanced accumulation of jasmonic acid (JA) and JA-Ile, elevated expression of over 2,200 different transcripts that are unique to the stress combination.
Abstract: In the field, plants experience high light (HL) intensities that are often accompanied by elevated temperatures. Such conditions are a serious threat to agriculture production, because photosynthesis is highly sensitive to both HL intensities and high-temperature stress. One of the potential cellular targets of HL and heat stress (HS) combination is PSII because its degree of photoinhibition depends on the balance between the rate of PSII damage (induced by light stress), and the rate of PSII repair (impaired under HS). Here, we studied the responses of Arabidopsis (Arabidopsis thaliana) plants to a combination of HL and HS (HL+HS) conditions. Combined HL+HS was accompanied by irreversible damage to PSII, decreased D1 (PsbA) protein levels, and an enhanced transcriptional response indicative of PSII repair activation. We further identified several unique aspects of this stress combination that included enhanced accumulation of jasmonic acid (JA) and JA-Ile, elevated expression of over 2,200 different transcripts that are unique to the stress combination (including many that are JA-associated), and distinctive structural changes to chloroplasts. A mutant deficient in JA biosynthesis (allene oxide synthase) displayed enhanced sensitivity to combined HL+HS and further analysis revealed that JA is required for regulating several transcriptional responses unique to the stress combination. Our study reveals that JA plays an important role in the acclimation of plants to a combination of HL+HS.
TL;DR: Common considerations such as strength, ductility, and fatigue behaviors are covered together with special attention on several new uncertainties including low creep resistance, high susceptibility to natural aging, and static recrystallization (SRX) which may lead to device failure during storage at room temperature and clinical usage at body temperature.
TL;DR: In this paper, a three-phase mixture of recrystallized fine-grained fcc+B2+Sigma in a prototypical Al0.3CoCrFeNi HEA was used to demonstrate the effect of hard-intermetallic compounds like ordered B2 and sigma phases forming in the fcc matrix of a high entropy alloy.
TL;DR: This work defines an alternative biosynthetic pathway via cytosolic ascorbate peroxidase that can catalyze direct 3-hydroxylation of 4-coumarate and identifies C3H as the only non-membrane bound hydroxylase in the lignin pathway and proposes new gene targets to improve forage and bioenergy crops.
Abstract: Lignin biosynthesis is evolutionarily conserved among higher plants and features a critical 3-hydroxylation reaction involving phenolic esters. However, increasing evidence questions the involvement of a single pathway to lignin formation in vascular plants. Here we describe an enzyme catalyzing the direct 3-hydroxylation of 4-coumarate to caffeate in lignin biosynthesis as a bifunctional peroxidase that oxidizes both ascorbate and 4-coumarate at comparable rates. A combination of biochemical and genetic evidence in the model plants Brachypodium distachyon and Arabidopsis thaliana supports a role for this coumarate 3-hydroxylase (C3H) in the early steps of lignin biosynthesis. The subsequent efficient O-methylation of caffeate to ferulate in grasses is substantiated by in vivo biochemical assays. Our results identify C3H as the only non-membrane bound hydroxylase in the lignin pathway and revise the currently accepted models of lignin biosynthesis, suggesting new gene targets to improve forage and bioenergy crops.
TL;DR: In this paper, the tensile yield strength of a single Al0.3CoCrFeNi high entropy alloy (or complex-concentrated alloy), can be enhanced from 160 MPa to over 1800 MPa (1.8 GPa) via microstructural engineering enabled by thermo-mechanical processing of the bulk alloy.
TL;DR: In this article, a friction stir processed Fe38.5 (Cu-HEA) exhibited excellent mechanical properties and high corrosion resistance in synergy, attributed to the controlled transformation of ultrafine γ matrix and e twinning; whereas good corrosion resistance was due to homogenized fine grained γ microstructure.
TL;DR: Findings from this meta-analysis indicate insomnia is associated with impairment in objective and subjective cognitive performance, highlighting the utility of treating insomnia to potentially improve cognitive outcomes.
University of North Texas1, Stony Brook University2, University of California, Davis3, Columbia University4, University of Notre Dame5, University of Arizona6, Oklahoma State University–Stillwater7, Florida State University8, University of Utah9, State University of New York System10, University of Toronto11, University of Minnesota12, Southern Methodist University13, College of William & Mary14, Ghent University15, Macquarie University16, University of Kansas17, University of Georgia18, Texas A&M University19, University College London20, Uniformed Services University of the Health Sciences21, Maastricht University22, University of Maryland, College Park23, University of Pittsburgh24, University of Kassel25
TL;DR: Highland Hierarchical Taxonomy of Psychopathology represents a viable alternative to classifying mental illness that can be integrated into practice today, although research is needed to further establish its utility.
Abstract: Author(s): Ruggero, Camilo J; Kotov, Roman; Hopwood, Christopher J; First, Michael; Clark, Lee Anna; Skodol, Andrew E; Mullins-Sweatt, Stephanie N; Patrick, Christopher J; Bach, Bo; Cicero, David C; Docherty, Anna; Simms, Leonard J; Bagby, R Michael; Krueger, Robert F; Callahan, Jennifer L; Chmielewski, Michael; Conway, Christopher C; De Clercq, Barbara; Dornbach-Bender, Allison; Eaton, Nicholas R; Forbes, Miriam K; Forbush, Kelsie T; Haltigan, John D; Miller, Joshua D; Morey, Leslie C; Patalay, Praveetha; Regier, Darrel A; Reininghaus, Ulrich; Shackman, Alexander J; Waszczuk, Monika A; Watson, David; Wright, Aidan GC; Zimmermann, Johannes | Abstract: ObjectiveDiagnosis is a cornerstone of clinical practice for mental health care providers, yet traditional diagnostic systems have well-known shortcomings, including inadequate reliability, high comorbidity, and marked within-diagnosis heterogeneity. The Hierarchical Taxonomy of Psychopathology (HiTOP) is a data-driven, hierarchically based alternative to traditional classifications that conceptualizes psychopathology as a set of dimensions organized into increasingly broad, transdiagnostic spectra. Prior work has shown that using a dimensional approach improves reliability and validity, but translating a model like HiTOP into a workable system that is useful for health care providers remains a major challenge.MethodThe present work outlines the HiTOP model and describes the core principles to guide its integration into clinical practice.ResultsPotential advantages and limitations of the HiTOP model for clinical utility are reviewed, including with respect to case conceptualization and treatment planning. A HiTOP approach to practice is illustrated and contrasted with an approach based on traditional nosology. Common barriers to using HiTOP in real-world health care settings and solutions to these barriers are discussed.ConclusionsHiTOP represents a viable alternative to classifying mental illness that can be integrated into practice today, although research is needed to further establish its utility. (PsycINFO Database Record (c) 2019 APA, all rights reserved).
TL;DR: The CO2 electroreduction reaction (CO2RR) is a promising avenue to convert greenhouse gases into high-value fuels and chemicals, in addition to being an attractive method for storing intermittent renewable energy sources as mentioned in this paper.
Abstract: The CO2 electroreduction reaction (CO2RR) is a promising avenue to convert greenhouse gases into high-value fuels and chemicals, in addition to being an attractive method for storing intermittent r...
TL;DR: ZnP coating on Zn-based biomaterial appears to be a viable approach to enhance its biocompatibility and antibacterial property as well as to control its degradation rate.
TL;DR: The progress made on identifying molecular factors and mechanisms that contribute to host defense, including plant resistance genes and signaling components, as well as aphid-derived effectors that elicit or attenuate host defenses are highlighted.
TL;DR: The analyzed results show that knowledge and perceived security in mobile Fintech services have a significant influence on users’ confirmation and perceived usefulness, however, perceived security does not directly influence users' satisfaction and continual intention to use of the services.
Abstract: Financial technology (Fintech) services using emerging technology such as the Internet of Things (IoT) is becoming more prevalent. The recent proliferation of the mobile payment sector led by innov...
TL;DR: Basic catalytic principles, computationally guided design approaches and intrinsic descriptors, catalytic material design strategies, and future directions are discussed for the rational design and synthesis of highly efficient carbon-based catalysts for clean energy technologies.
Abstract: Carbon nanomaterials are promising metal-free catalysts for energy conversion and storage, but the catalysts are usually developed via traditional trial-and-error methods. To rationally design and accelerate the search for the highly efficient catalysts, it is necessary to establish design principles for the carbon-based catalysts. Here, theoretical analysis and material design of metal-free carbon nanomaterials as efficient photo-/electrocatalysts to facilitate the critical chemical reactions in clean and sustainable energy technologies are reviewed. These reactions include the oxygen reduction reaction in fuel cells, the oxygen evolution reaction in metal-air batteries, the iodine reduction reaction in dye-sensitized solar cells, the hydrogen evolution reaction in water splitting, and the carbon dioxide reduction in artificial photosynthesis. Basic catalytic principles, computationally guided design approaches and intrinsic descriptors, catalytic material design strategies, and future directions are discussed for the rational design and synthesis of highly efficient carbon-based catalysts for clean energy technologies.
TL;DR: In this paper, the authors employed the frame analysis method to examine and understand how the sharing economy is conceptualized in the news media discourse, and three strategies were suggested to pave the way for sustainable development of the Sharing economy ecosystem: alignment to mutual interests, collaboration for shared success, and commitment to social responsibility.
TL;DR: The present review provides a detailed overview of the benefits and issues of metal alloys when used as biomedical implants and how they are improved by bioactive glass-based coatings for biomedical applications.
TL;DR: Several hypothetical models are presented based primarily on studies in model systems, which may or may not reflect the major lignification process in forest trees.
Abstract: Lignin is a major component of secondarily thickened plant cell walls and is considered to be the second most abundant biopolymer on the planet. At one point believed to be the product of a highly controlled polymerization procedure involving just three potential monomeric components (monolignols), it is becoming increasingly clear that the composition of lignin is quite flexible. Furthermore, the biosynthetic pathways to the major monolignols also appear to exhibit flexibility, particularly as regards the early reactions leading to the formation of caffeic acid from coumaric acid. The operation of parallel pathways to caffeic acid occurring at the level of shikimate esters or free acids may help provide robustness to the pathway under different physiological conditions. Several features of the pathway also appear to link monolignol biosynthesis to both generation and detoxification of hydrogen peroxide, one of the oxidants responsible for creating monolignol radicals for polymerization in the apoplast. Monolignol transport to the apoplast is not well understood. It may involve passive diffusion, although this may be targeted to sites of lignin initiation/polymerization by ordered complexes of both biosynthetic enzymes on the cytosolic side of the plasma membrane and structural anchoring of proteins for monolignol oxidation and polymerization on the apoplastic side. We present several hypothetical models to illustrate these ideas and stimulate further research. These are based primarily on studies in model systems, which may or may not reflect the major lignification process in forest trees.
TL;DR: By performing a detailed derivation and analysis of the interface energetics for selected electrochemical systems, this work is able to relate the widely used approach of the computational hydrogen electrode (CHE) to a general grand canonical description of electrified interfaces.
Abstract: We discuss grand canonical simulations based on density-functional theory to study the thermodynamic properties of electrochemical interfaces of metallic electrodes in aqueous environments. Water is represented using implicit solvation, here via the self-consistent continuum solvation (SCCS) model, providing a charge-density dependent dielectric boundary. The electrochemical double layer is accounted for in terms of a phenomenological continuum description. It is shown that the experimental potentials of zero charge and interfacial capacitances can be reproduced for an optimized SCCS parameter set [ρmin = 0.0013, ρmax = 0.010 25]. By performing a detailed derivation and analysis of the interface energetics for selected electrochemical systems, we are able to relate the widely used approach of the computational hydrogen electrode (CHE) to a general grand canonical description of electrified interfaces. In particular, charge-neutral CHE results are shown to be an upper-boundary estimate for the grand canonical interfacial free energies. In order to demonstrate the differences between the CHE and full grand canonical calculations, we study the pristine (100), (110), and (111) surfaces for Pt, Au, Cu, and Ag, and H or Cl electrosorbed on Pt. The calculations support the known surface reconstructions in the aqueous solution for Pt and Au. Furthermore, the predicted potential-pH dependence of proton coverage, surface charge, and interfacial pseudocapacitance for Pt is found to be in close agreement with experimental or other theoretical data as well as the predicted equilibrium shapes for Pt nanoparticles. Finally, Cl is found to interact more strongly than H with the interfacial fields, leading to significantly altered interface energetics and structure upon explicit application of an electrode potential. This work underscores the strengths and eventual limits of the CHE approach and might guide further understanding of the thermodynamics of electrified interfaces.
TL;DR: This informative report focuses on filling information gaps regarding adherence to physical activity and exercise in the health care spectrum of older adults (OA) and an overview of the benefits of physical activity for OA.
Abstract: This informative report focuses on filling information gaps regarding adherence to physical activity and exercise in the health care spectrum of older adults (OA) and an overview of the benefits of physical activity for OA. Healthy People 2000, 2010, and 2020 are public health programs from the U.S. Department of Health and Human Services that set national goals and objectives for promoting health and preventing disease. The programs include 10 leading health indicators that reflect major health problems, which concern OA. Exercise and physical activity are among the most important factors affecting health and longevity, but exercise adherence is a significant hindrance in achieving health goals in the OA. Exercise adherence in OA is a multifactorial problem encompassing many biopsychosocial factors. Factors affecting adherence in the OA include socioeconomic status, education level, living arrangements, health status, pacemakers, physical fitness, and depression. Improving adherence could have a significant impact on longevity, quality of life, and health care costs.