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Showing papers by "University of Oklahoma published in 2019"


Journal ArticleDOI
TL;DR: Attention-deficit/hyperactivity disorder (ADHD) is the most common neurobehavioral disorder of childhood and can profoundly affect the academic achievement, well-being, and social interactions of children.
Abstract: Attention-deficit/hyperactivity disorder (ADHD) is the most common neurobehavioral disorder of childhood and can profoundly affect the academic achievement, well-being, and social interactions of children; the American Academy of Pediatrics first published clinical recommendations for the diagnosis and evaluation of ADHD in children in 2000; recommendations for treatment followed in 2001.

1,657 citations


Journal ArticleDOI
TL;DR: Across all trial populations, a regimen of carboplatin, paclitaxel, and veliparib induction therapy followed by veliporib maintenance therapy led to significantly longer progression-free survival than carboplati plus pac Litaxel induction therapy alone.
Abstract: Background Data are limited regarding the use of poly(adenosine diphosphate [ADP]–ribose) polymerase inhibitors, such as veliparib, in combination with chemotherapy followed by maintenance...

557 citations


Journal ArticleDOI
TL;DR: Standard-of-care therapy for patients newly diagnosed with advanced ovarian cancer consists of frontline cytoreductive surgery and adjuvant platinum chemotherapy and approximately 70% of patients have a relapse within 3 years.
Abstract: (ed from N Engl J Med 2018;379:2495–2505)Standard-of-care therapy for patients newly diagnosed with advanced ovarian cancer consists of frontline cytoreductive surgery and adjuvant platinum chemotherapy. Approximately 70% of these patients have a relapse within 3 years.

481 citations


Journal ArticleDOI
TL;DR: It is demonstrated, across multiple species and tumor models, that obesity results in increased immune aging, tumor progression and PD-1-mediated T cell dysfunction which is driven, at least in part, by leptin.
Abstract: The recent successes of immunotherapy have shifted the paradigm in cancer treatment, but because only a percentage of patients are responsive to immunotherapy, it is imperative to identify factors impacting outcome. Obesity is reaching pandemic proportions and is a major risk factor for certain malignancies, but the impact of obesity on immune responses, in general and in cancer immunotherapy, is poorly understood. Here, we demonstrate, across multiple species and tumor models, that obesity results in increased immune aging, tumor progression and PD-1-mediated T cell dysfunction which is driven, at least in part, by leptin. However, obesity is also associated with increased efficacy of PD-1/PD-L1 blockade in both tumor-bearing mice and clinical cancer patients. These findings advance our understanding of obesity-induced immune dysfunction and its consequences in cancer and highlight obesity as a biomarker for some cancer immunotherapies. These data indicate a paradoxical impact of obesity on cancer. There is heightened immune dysfunction and tumor progression but also greater anti-tumor efficacy and survival after checkpoint blockade which directly targets some of the pathways activated in obesity.

461 citations


Journal ArticleDOI
TL;DR: An overview of the field`s understanding of how nanoparticle physicochemical properties affect cellular interactions is summarized, cellular internalization pathways are reviewed, and intracellular nanoparticle trafficking and kinetics are explored.

456 citations


Journal ArticleDOI
TL;DR: Global sampling of microbial communities associated with wastewater treatment plants and application of ecological theory revealed a small, core bacterial community associated with performance and provides insights into the community dynamics in this environment.
Abstract: Microorganisms in wastewater treatment plants (WWTPs) are essential for water purification to protect public and environmental health. However, the diversity of microorganisms and the factors that control it are poorly understood. Using a systematic global-sampling effort, we analysed the 16S ribosomal RNA gene sequences from ~1,200 activated sludge samples taken from 269 WWTPs in 23 countries on 6 continents. Our analyses revealed that the global activated sludge bacterial communities contain ~1 billion bacterial phylotypes with a Poisson lognormal diversity distribution. Despite this high diversity, activated sludge has a small, global core bacterial community (n = 28 operational taxonomic units) that is strongly linked to activated sludge performance. Meta-analyses with global datasets associate the activated sludge microbiomes most closely to freshwater populations. In contrast to macroorganism diversity, activated sludge bacterial communities show no latitudinal gradient. Furthermore, their spatial turnover is scale-dependent and appears to be largely driven by stochastic processes (dispersal and drift), although deterministic factors (temperature and organic input) are also important. Our findings enhance our mechanistic understanding of the global diversity and biogeography of activated sludge bacterial communities within a theoretical ecology framework and have important implications for microbial ecology and wastewater treatment processes.

423 citations


Journal ArticleDOI
TL;DR: A comprehensive survey on the state-of-the-art solutions for facilitating interoperability between different IoT platforms is performed and the key challenges in this topic is presented.
Abstract: In the last few years, many smart objects found in the physical world are interconnected and communicate through the existing internet infrastructure which creates a global network infrastructure called the Internet of Things (IoT). Research has shown a substantial development of solutions for a wide range of devices and IoT platforms over the past 6-7 years. However, each solution provides its own IoT infrastructure, devices, APIs, and data formats leading to interoperability issues. Such interoperability issues are the consequence of many critical issues such as vendor lock-in, impossibility to develop IoT application exposing cross-platform, and/or cross-domain, difficulty in plugging non-interoperable IoT devices into different IoT platforms, and ultimately prevents the emergence of IoT technology at a large-scale. To enable seamless resource sharing between different IoT vendors, efforts by several academia, industry, and standardization bodies have emerged to help IoT interoperability, i.e., the ability for multiple IoT platforms from different vendors to work together. This paper performs a comprehensive survey on the state-of-the-art solutions for facilitating interoperability between different IoT platforms. Also, the key challenges in this topic is presented.

378 citations


Journal ArticleDOI
TL;DR: A general mathematical framework to quantify ecological stochasticity under different situations in which deterministic factors drive the communities more similar or dissimilar than null expectation is proposed.
Abstract: Understanding the community assembly mechanisms controlling biodiversity patterns is a central issue in ecology. Although it is generally accepted that both deterministic and stochastic processes play important roles in community assembly, quantifying their relative importance is challenging. Here we propose a general mathematical framework to quantify ecological stochasticity under different situations in which deterministic factors drive the communities more similar or dissimilar than null expectation. An index, normalized stochasticity ratio (NST), was developed with 50% as the boundary point between more deterministic ( 50%) assembly. NST was tested with simulated communities by considering abiotic filtering, competition, environmental noise, and spatial scales. All tested approaches showed limited performance at large spatial scales or under very high environmental noise. However, in all of the other simulated scenarios, NST showed high accuracy (0.90 to 1.00) and precision (0.91 to 0.99), with averages of 0.37 higher accuracy (0.1 to 0.7) and 0.33 higher precision (0.0 to 1.8) than previous approaches. NST was also applied to estimate stochasticity in the succession of a groundwater microbial community in response to organic carbon (vegetable oil) injection. Our results showed that community assembly was shifted from more deterministic (NST = 21%) to more stochastic (NST = 70%) right after organic carbon input. As the vegetable oil was consumed, the community gradually returned to be more deterministic (NST = 27%). In addition, our results demonstrated that null model algorithms and community similarity metrics had strong effects on quantifying ecological stochasticity.

370 citations


Journal ArticleDOI
TL;DR: This review article summarizes the current status of employing nanomaterials with photothermal effects for anti-cancer treatment and Mechanisms of the photothermal effect and various factors affecting photothermal performance will be discussed.

366 citations


Journal ArticleDOI
TL;DR: The data support expansion of the treatment indication for poly(ADP-ribose) polymerase inhibitors to include patients with HRD-positive ovarian cancer beyond those with BRCA mutations and clinically relevant activity of niraparib among women with heavily pretreated ovarian cancer.
Abstract: Summary Background Late-line treatment options for patients with ovarian cancer are few, with the proportion of patients achieving an overall response typically less than 10%, and median overall survival after third-line therapy of 5–9 months. In this study (QUADRA), we investigated the activity of niraparib monotherapy as the fourth or later line of therapy. Methods QUADRA was a multicentre, open-label, single-arm, phase 2 study that evaluated the safety and activity of niraparib in adult patients (≥18 years) with relapsed, high-grade serous (grade 2 or 3) epithelial ovarian, fallopian tube, or primary peritoneal cancer who had been treated with three or more previous chemotherapy regimens. The study was done in the USA and Canada, and 56 sites screened patients (50 sites treated at least one patient). Patients received oral niraparib 300 mg once daily continuously, beginning on day 1 and every cycle (28 days) thereafter until disease progression. The primary objective was the proportion of patients achieving an investigator-assessed confirmed overall response in patients with homologous recombination deficiency (HRD)-positive tumours (including patients with BRCA and without BRCA mutations) sensitive to their last platinum-based therapy who had received three or four previous anticancer therapy regimens (primary efficacy population). Efficacy analyses were additionally done in all dosed patients with measurable disease at baseline. Findings Between April 1, 2015 and Nov 1, 2017, we screened 729 patients for eligibility and enrolled 463 patients, who were initiated on niraparib therapy. At the time of database lock (April 11, 2018), enrolment had closed and the study was ongoing, with 21 patients still on treatment. Patients had received a median of four (IQR 3–5) previous lines of therapy, and the median follow-up for overall survival was 12·2 months (IQR 3·7–22·1). 151 (33%) of 463 patients were resistant and 161 (35%) of 463 patients were refractory to the last administered platinum therapy. 13 (28%) of 47 patients in the primary efficacy population achieved an overall response according to RECIST (95% CI 15·6–42·6; one-sided p=0·00053). The most common drug-related grade 3 or worse treatment-emergent adverse events were anaemia (113 [24%] of 463 patients) and thrombocytopenia (95 [21%] of 463 patients). The most common treatment-emergent serious adverse events were small intestinal obstruction (34 [7%] of 463 patients), thrombocytopenia (34 [7%] of 463 patients), and vomiting (27 [6%] of 463 patients). One death due to gastric haemorrhage was considered treatment related. Interpretation We observed clinically relevant activity of niraparib among women with heavily pretreated ovarian cancer, especially in patients with HRD-positive platinum-sensitive disease, which includes not only patients with a BRCA mutation but also a population with BRCA wild-type disease. We identified no new safety signals. Our data support expansion of the treatment indication for poly(ADP-ribose) polymerase inhibitors to include patients with HRD-positive ovarian cancer beyond those with BRCA mutations. Funding Tesaro.

312 citations


Journal ArticleDOI
TL;DR: In this first surgical RCT for the treatment of postamputation pain in major limb amputees, TMR improved PLP and trended toward improved residual limb pain compared with conventional neurectomy.
Abstract: Objective:To compare targeted muscle reinnervation (TMR) to “standard treatment” of neuroma excision and burying into muscle for postamputation pain.Summary Background Data:To date, no intervention is consistently effective for neuroma-related residual limb or phantom limb pain (PLP). TMR is a nerve

Journal ArticleDOI
TL;DR: In this paper, the authors synthesize multiple methods for machine learning (ML) model interpretation and visualization (MIV) focusing on meteorological applications, which has recently exploded in popularity.
Abstract: This paper synthesizes multiple methods for machine learning (ML) model interpretation and visualization (MIV) focusing on meteorological applications. ML has recently exploded in popularit...

Journal ArticleDOI
TL;DR: Chemotherapy plus radiation was not associated with longer relapse-free survival than chemotherapy alone in patients with stage III or IVA endometrial carcinoma.
Abstract: Background Stage III or IVA endometrial cancer carries a significant risk of systemic and locoregional recurrence. Methods In this randomized phase 3 trial, we tested whether 6 months of p...

Journal ArticleDOI
16 Apr 2019-ACS Nano
TL;DR: It is discovered that the interaction of nanoparticles with liver nonparenchymal cells determines the elimination fate, and it is shown that the removal of Kupffer cells increased fecal elimination by >10 times.
Abstract: Understanding how nanoparticles are eliminated from the body is required for their successful clinical translation. Many promising nanoparticle formulations for in vivo medical applications are large (>5.5 nm) and nonbiodegradable, so they cannot be eliminated renally. A proposed pathway for these nanoparticles is hepatobiliary elimination, but their transport has not been well-studied. Here, we explored the barriers that determined the elimination of nanoparticles through the hepatobiliary route. The route of hepatobiliary elimination is usually through the following pathway: (1) liver sinusoid, (2) space of Disse, (3) hepatocytes, (4) bile ducts, (5) intestines, and (6) out of the body. We discovered that the interaction of nanoparticles with liver nonparenchymal cells (e.g., Kupffer cells and liver sinusoidal endothelial cells) determines the elimination fate. Each step in the route contains cells that can sequester and chemically or physically alter the nanoparticles, which influences their fecal elim...

Journal ArticleDOI
TL;DR: The proposed methodology successfully establishes a map between inputs given by stencils of the vorticity and the streamfunction along with information from two well-known eddy-viscosity kernels, which represents a promising development in the formalization of a framework for generation of heuristic-free turbulence closures from data.
Abstract: In this investigation, a data-driven turbulence closure framework is introduced and deployed for the subgrid modelling of Kraichnan turbulence. The novelty of the proposed method lies in the fact that snapshots from high-fidelity numerical data are used to inform artificial neural networks for predicting the turbulence source term through localized grid-resolved information. In particular, our proposed methodology successfully establishes a map between inputs given by stencils of the vorticity and the streamfunction along with information from two well-known eddy-viscosity kernels. Through this we predict the subgrid vorticity forcing in a temporally and spatially dynamic fashion. Our study is both a priori and a posteriori in nature. In the former, we present an extensive hyper-parameter optimization analysis in addition to learning quantification through probability-density-function-based validation of subgrid predictions. In the latter, we analyse the performance of our framework for flow evolution in a classical decaying two-dimensional turbulence test case in the presence of errors related to temporal and spatial discretization. Statistical assessments in the form of angle-averaged kinetic energy spectra demonstrate the promise of the proposed methodology for subgrid quantity inference. In addition, it is also observed that some measure of a posteriori error must be considered during optimal model selection for greater accuracy. The results in this article thus represent a promising development in the formalization of a framework for generation of heuristic-free turbulence closures from data.

Journal ArticleDOI
Georges Aad1, Alexander Kupco2, Samuel Webb3, Timo Dreyer4  +3380 moreInstitutions (206)
TL;DR: In this article, a search for high-mass dielectron and dimuon resonances in the mass range of 250 GeV to 6 TeV was performed at the Large Hadron Collider.

Journal ArticleDOI
Morad Aaboud, Georges Aad1, Brad Abbott2, Dale Charles Abbott3  +2936 moreInstitutions (198)
TL;DR: An exclusion limit on the H→invisible branching ratio of 0.26(0.17_{-0.05}^{+0.07}) at 95% confidence level is observed (expected) in combination with the results at sqrt[s]=7 and 8 TeV.
Abstract: Dark matter particles, if sufficiently light, may be produced in decays of the Higgs boson. This Letter presents a statistical combination of searches for H→invisible decays where H is produced according to the standard model via vector boson fusion, Z(ll)H, and W/Z(had)H, all performed with the ATLAS detector using 36.1 fb^{-1} of pp collisions at a center-of-mass energy of sqrt[s]=13 TeV at the LHC. In combination with the results at sqrt[s]=7 and 8 TeV, an exclusion limit on the H→invisible branching ratio of 0.26(0.17_{-0.05}^{+0.07}) at 95% confidence level is observed (expected).

Journal ArticleDOI
TL;DR: Experimental animal models continue to provide new insights into the cellular and molecular mechanisms of eye growth control, including the identification of potential new targets for drug development and future treatments needed to stem the increasing prevalence of myopia and the vision-threatening conditions associated with this disease.
Abstract: The results of many studies in a variety of species have significantly advanced our understanding of the role of visual experience and the mechanisms of postnatal eye growth, and the development of myopia. This paper surveys and reviews the major contributions that experimental studies using animal models have made to our thinking about emmetropization and development of myopia. These studies established important concepts informing our knowledge of the visual regulation of eye growth and refractive development and have transformed treatment strategies for myopia. Several major findings have come from studies of experimental animal models. These include the eye's ability to detect the sign of retinal defocus and undergo compensatory growth, the local retinal control of eye growth, regulatory changes in choroidal thickness, and the identification of components in the biochemistry of eye growth leading to the characterization of signal cascades regulating eye growth and refractive state. Several of these findings provided the proofs of concepts that form the scientific basis of new and effective clinical treatments for controlling myopia progression in humans. Experimental animal models continue to provide new insights into the cellular and molecular mechanisms of eye growth control, including the identification of potential new targets for drug development and future treatments needed to stem the increasing prevalence of myopia and the vision-threatening conditions associated with this disease.

Journal ArticleDOI
TL;DR: In this paper, the authors demonstrate a facile, scalable and low-cost approach to produce highly-efficient solar steam generator via a one-step calcination of commercial melamine sponges (MS) in air.

Journal ArticleDOI
Georges Aad1, Alexander Kupco2, Samuel Webb3, Timo Dreyer4  +2962 moreInstitutions (195)
TL;DR: In this article, an improved energy clustering algorithm is introduced, and its implications for the measurement and identification of prompt electrons and photons are discussed in detail, including corrections and calibrations that affect performance, including energy calibration, identification and isolation efficiencies.
Abstract: This paper describes the reconstruction of electrons and photons with the ATLAS detector, employed for measurements and searches exploiting the complete LHC Run 2 dataset. An improved energy clustering algorithm is introduced, and its implications for the measurement and identification of prompt electrons and photons are discussed in detail. Corrections and calibrations that affect performance, including energy calibration, identification and isolation efficiencies, and the measurement of the charge of reconstructed electron candidates are determined using up to 81 fb−1 of proton-proton collision data collected at √s=13 TeV between 2015 and 2017.

Journal ArticleDOI
TL;DR: Porn-related problems—particularly feelings of addiction to pornography—may be, in many cases, better construed as functions of discrepancies—moral incongruence—between pornography-related beliefs and pornography- related behaviors.
Abstract: The notion of problematic pornography use remains contentious in both academic and popular literature. Although the mental health community at large is divided as to the addictive versus non-addictive nature of Internet pornography, substantial numbers of individuals report “feeling” as if their use of Internet pornography is problematic. The present work seeks to construct a model related to problematic pornography use that is clearly derived from empirical literature and that provides directions to be tested in future research. The focus of the present work is on those perceptions as they relate to the overarching experience of moral incongruence in pornography use, which is generally thought of as the experience of having one’s behaviors be inconsistent with one’s beliefs. To this end, we put forth a model of pornography problems due to moral incongruence. Within this model, we describe how pornography-related problems—particularly feelings of addiction to pornography—may be, in many cases, better construed as functions of discrepancies—moral incongruence—between pornography-related beliefs and pornography-related behaviors. A systematic review of literature and meta-analysis is conducted in order to evaluate support for this model, and the implications of this model for research and clinical practice are discussed.

Journal ArticleDOI
TL;DR: Pelvic RT alone remains an effective, well-tolerated, and appropriate adjuvant treatment in high-risk early-stage endometrial carcinomas of all histologies.
Abstract: PURPOSEThe primary objective was to determine if vaginal cuff brachytherapy and chemotherapy (VCB/C) increases recurrence-free survival (RFS) compared with pelvic radiation therapy (RT) in high-int...

Journal ArticleDOI
Georges Aad1, Alexander Kupco2, Samuel Webb3, Timo Dreyer4  +2961 moreInstitutions (196)
TL;DR: In this article, the ATLAS Collaboration during Run 2 of the Large Hadron Collider (LHC) was used to identify jets containing b-hadrons, and the performance of the algorithms was evaluated in the s...
Abstract: The algorithms used by the ATLAS Collaboration during Run 2 of the Large Hadron Collider to identify jets containing b-hadrons are presented. The performance of the algorithms is evaluated in the s ...

Journal ArticleDOI
TL;DR: A stochastic bi-objective mixed integer programming model is proposed to support the decision-making in how and when to use both proactive and reactive strategies in supplier selection and order allocation and can benefit suppliers to find the optimal set of operational decisions that enhance their resilience capabilities.

Journal ArticleDOI
TL;DR: Wang et al. as mentioned in this paper applied performance-based planning to assess the impact of urban building morphology on local climate surface temperatures under different wind conditions during 2017 in Shanghai, China using multi-source data, such as frontal area density (FAD), local climatic zone classification, land surface temperature (LST) data, and geographic information.

Journal ArticleDOI
TL;DR: It is suggested that the system is an exotic ferromagnetic Mott insulator, with well-defined experimental signatures, after calculating the maximally localized superlattice Wannier wave functions.
Abstract: We address the effective tight-binding Hamiltonian that describes the insulating Mott state of twisted graphene bilayers at a magic angle. In that configuration, twisted bilayers form a honeycomb superlattice of localized states, characterized by the appearance of flat bands with fourfold degeneracy. After calculating the maximally localized superlattice Wannier wave functions, we derive the effective spin model that describes the Mott state. We suggest that the system is an exotic ferromagnetic Mott insulator, with well-defined experimental signatures.

Journal ArticleDOI
Morad Aaboud, Georges Aad1, Brad Abbott2, Dale Charles Abbott3  +3001 moreInstitutions (220)
TL;DR: In this paper, the decays of B0 s! + and B0! + have been studied using 26 : 3 fb of 13TeV LHC proton-proton collision data collected with the ATLAS detector in 2015 and 2016.
Abstract: A study of the decays B0 s ! + and B0 ! + has been performed using 26 : 3 fb of 13TeV LHC proton-proton collision data collected with the ATLAS detector in 2015 and 2016. Since the detector resolut ...

Journal ArticleDOI
TL;DR: A comprehensive survey is presented covering the architecture, the constraints, the mobility models, the routing techniques, and the simulation tools dedicated to FANETs, better presenting the state of the art of this specific area of research.
Abstract: Owing to the explosive expansion of wireless communication and networking technologies, cost-effective unmanned aerial vehicles (UAVs) have recently emerged and soon they will occupy the major part of our sky. UAVs can be exploited to efficiently accomplish complex missions when cooperatively organized as an ad hoc network, thus creating the well-known flying ad hoc networks (FANETs). The establishment of such networks is not feasible without deploying an efficient networking model allowing a reliable exchange of information between UAVs. FANET inherits common features and characteristics from mobile ad hoc networks (MANETs) and their sub-classes, such as vehicular ad hoc networks (VANETs) and wireless sensor networks (WSNs). Unfortunately, UAVs are often deployed in the sky adopting a mobility model dictated by the nature of missions that they are expected to handle, and therefore, differentiate themselves from any traditional networks. Moreover, several flying constraints and the highly dynamic topology of FANETs make the design of routing protocols a complicated task. In this paper, a comprehensive survey is presented covering the architecture, the constraints, the mobility models, the routing techniques, and the simulation tools dedicated to FANETs. A classification, descriptions, and comparative studies of an important number of existing routing protocols dedicated to FANETs are detailed. Furthermore, the paper depicts future challenge perspectives, helping scientific researchers to discover some themes that have been addressed only ostensibly in the literature and need more investigation. The novelty of this survey is its uniqueness to provide a complete analysis of the major FANET routing protocols and to critically compare them according to different constraints based on crucial parameters, thus better presenting the state of the art of this specific area of research.

Journal ArticleDOI
11 Mar 2019
TL;DR: Recently, interest in developing efficient, low-cost, nontoxic, and stable metal halide emitters that can be incorporated into solid-state lighting technologies has taken hold as mentioned in this paper, where the authors report their findings.
Abstract: Recently, interest in developing efficient, low-cost, nontoxic, and stable metal halide emitters that can be incorporated into solid-state lighting technologies has taken hold. Here we report nonto...

Journal ArticleDOI
Roy Burstein1, Nathaniel J Henry1, Michael Collison1, Laurie B. Marczak1  +663 moreInstitutions (290)
16 Oct 2019-Nature
TL;DR: A high-resolution, global atlas of mortality of children under five years of age between 2000 and 2017 highlights subnational geographical inequalities in the distribution, rates and absolute counts of child deaths by age.
Abstract: Since 2000, many countries have achieved considerable success in improving child survival, but localized progress remains unclear. To inform efforts towards United Nations Sustainable Development Goal 3.2—to end preventable child deaths by 2030—we need consistently estimated data at the subnational level regarding child mortality rates and trends. Here we quantified, for the period 2000–2017, the subnational variation in mortality rates and number of deaths of neonates, infants and children under 5 years of age within 99 low- and middle-income countries using a geostatistical survival model. We estimated that 32% of children under 5 in these countries lived in districts that had attained rates of 25 or fewer child deaths per 1,000 live births by 2017, and that 58% of child deaths between 2000 and 2017 in these countries could have been averted in the absence of geographical inequality. This study enables the identification of high-mortality clusters, patterns of progress and geographical inequalities to inform appropriate investments and implementations that will help to improve the health of all populations.