Showing papers by "University of Notre Dame published in 2022"
Commonwealth Scientific and Industrial Research Organisation1, University of Notre Dame2, University of Melbourne3, University of Barcelona4, Instituto Nacional de Saúde Dr. Ricardo Jorge5, Queensland Health6, University of Queensland7, University of North Carolina at Chapel Hill8, University of South Australia9, Michigan State University10, Vienna University of Technology11, University of Health Sciences Antigua12, Southern Nevada Water Authority13, Southern California Coastal Water Research Project14, Drexel University15, Arizona State University16, National Environment Agency17, University of South Florida18, International Centre for Diarrhoeal Disease Research, Bangladesh19, University of New South Wales20, Stellenbosch University21, Hokkaido University22, United States Environmental Protection Agency23, Istituto Superiore di Sanità24, University of Georgia25, University of Wisconsin–Milwaukee26, University College Dublin27, University of Guelph28, University of California, Merced29, Griffith University30, National Institute for Health and Welfare31, University of Helsinki32, National University of Salta33, Spanish National Research Council34, Tulane University35, Chulabhorn Research Institute36, National University of Singapore37, Tohoku University38, Nanyang Technological University39, University of Minnesota40
TL;DR: A technical review of factors that can lead to false-positive and -negative errors in the surveillance of SARS-CoV-2, culminating in recommendations and strategies that can be implemented to identify and mitigate these errors.
116 citations
TL;DR: This paper identified omitted variables as a primary source of endogeneity that can induce bias in empirical estimation and pointed out that omitted variables can be used as a source of bias in management research.
67 citations
TL;DR: In this paper , a composite construct that can provide both conductive and topographical cues for human induced pluripotent stem cell derived cardiomyocytes (iCMs) is developed for cardiac tissue engineering applications.
49 citations
TL;DR: In this paper, the relative contribution of various shedding routes on SARS-CoV-2 RNA loads in wastewater was assessed using a Monte Carlo framework, and the authors concluded that the greatest source of variability was viral load in excreta.
47 citations
TL;DR: In this paper , the relative contribution of various shedding routes on SARS-CoV-2 RNA loads in wastewater was assessed using a Monte Carlo framework, with the greatest source of variability being viral load in excreta, suggesting that wastewater surveillance must continue to account for large variability during data analysis and reporting.
46 citations
TL;DR: In this paper, the authors describe the collaborative process that is underway to develop measures for the Hierarchical Taxonomy of Psychopathology (HiTOP) model, which has generated much interest in the literature.
Abstract: In this article, we describe the collaborative process that is underway to develop measures for the Hierarchical Taxonomy of Psychopathology (HiTOP). The HiTOP model has generated much interest in ...
32 citations
TL;DR: Wang et al. as discussed by the authors showed that the surveillance of wastewater from aircraft for SARS-CoV-2 RNA can provide an additional and effective tool for informing the management of returning overseas travelers and for monitoring the importation of SARS CoV2 and other clinically significant pathogens.
29 citations
TL;DR: For example, this paper found that a dramatic increase in teaching and administrative workloads and the traditional family roles assumed by women while working from home were among the key factors behind the reported decline in research activity among female academics in public universities in South Africa.
22 citations
11 Jan 2022
TL;DR: In this article , a grafting-from strategy was used to grow polymers with defined molecular weights and low polydispersity on perovskite nanocrystals (PNCs).
Abstract: Herein, we report a controlled radical photocatalyzed polymerization to grow protective polymer brushes from the CsPbBr3 perovskite nanocrystals (PNCs) surface via a grafting-from strategy, in which the PNCs functioned as both photocatalysts and substrates with tethered initiators for the synthesis of polymers with defined molecular weights and low polydispersity. The core–shell structured CsPbBr3–polymer nanoparticles exhibited improved colloidal stability and optical stability of the CsPbBr3 core in various polar organic solvents, water, and UV irradiation conditions, demonstrating the effective protection of PNCs by surface polymers. We posit that this surface photopolymerization technique represents a general method to incorporate different polymer compositions and structures on PNCs for surface functionalization and stabilization.
22 citations
TL;DR: In this paper, MoS2@Z photocatalysts were synthesized by combining ultrasonic and hydrothermal methods, and used for the degradation of tetracycline.
21 citations
TL;DR: In this article , the frequency-dependent peaks of the AC magnetic susceptibility, along with remarkable memory effects, characterize spin-glass states, and various phenomenological parameters via different spin glass models show strong similarity within these three compounds as well as with other rare-earth metal nickelates.
Abstract: Motivated by the recent discovery of superconductivity in infinite-layer nickelate thin films, we report on a synthesis and magnetization study on bulk samples of the parent compounds ${R}$NiO$_{2}$ (${R}$=La, Pr, Nd). The frequency-dependent peaks of the AC magnetic susceptibility, along with remarkable memory effects, characterize spin-glass states. Furthermore, various phenomenological parameters via different spin glass models show strong similarity within these three compounds as well as with other rare-earth metal nickelates. The universal spin-glass behaviour distinguishes the nickelates from the parent compound CaCuO$_{2}$ of cuprate superconductors, which has the same crystal structure and $d^9$ electronic configuration but undergoes a long-range antiferromagnetic order. Our investigations may indicate a distinctly different nature of magnetism and superconductivity in the bulk nickelates than in the cuprates.
TL;DR: The ability of thermoelectric (TE) materials to convert thermal energy to electricity and vice versa highlights them as a promising candidate for sustainable energy applications as discussed by the authors , however, there is still a prominent need to develop scalable synthesis and flexible manufacturing processes to convert high-efficiency materials into highperformance devices.
Abstract: The ability of thermoelectric (TE) materials to convert thermal energy to electricity and vice versa highlights them as a promising candidate for sustainable energy applications. Despite considerable increases in the figure of merit zT of thermoelectric materials in the past two decades, there is still a prominent need to develop scalable synthesis and flexible manufacturing processes to convert high-efficiency materials into high-performance devices. Scalable printing techniques provide a versatile solution to not only fabricate both inorganic and organic TE materials with fine control over the compositions and microstructures, but also manufacture thermoelectric devices with optimized geometric and structural designs that lead to improved efficiency and system-level performances. In this review, we aim to provide a comprehensive framework of printing thermoelectric materials and devices by including recent breakthroughs and relevant discussions on TE materials chemistry, ink formulation, flexible or conformable device design, and processing strategies, with an emphasis on additive manufacturing techniques. In addition, we review recent innovations in the flexible, conformal, and stretchable device architectures and highlight state-of-the-art applications of these TE devices in energy harvesting and thermal management. Perspectives of emerging research opportunities and future directions are also discussed. While this review centers on thermoelectrics, the fundamental ink chemistry and printing processes possess the potential for applications to a broad range of energy, thermal and electronic devices.
TL;DR: In this article , MoS2@Z photocatalysts were synthesized by combining ultrasonic and hydrothermal methods, and used for the degradation of tetracycline.
TL;DR: In this paper , the authors proposed a multi-level network of networks (NoN) representation for entity label prediction and evaluated the performance of the proposed NoN-based data integration.
Abstract: Prediction of node and graph labels are prominent network science tasks. Data analyzed in these tasks are sometimes related: entities represented by nodes in a higher-level (higher scale) network can themselves be modeled as networks at a lower level. We argue that systems involving such entities should be integrated with a 'network of networks' (NoNs) representation. Then, we ask whether entity label prediction using multi-level NoN data via our proposed approaches is more accurate than using each of single-level node and graph data alone, i.e. than traditional node label prediction on the higher-level network and graph label prediction on the lower-level networks. To obtain data, we develop the first synthetic NoN generator and construct a real biological NoN. We evaluate accuracy of considered approaches when predicting artificial labels from the synthetic NoNs and proteins' functions from the biological NoN.For the synthetic NoNs, our NoN approaches outperform or are as good as node- and network-level ones depending on the NoN properties. For the biological NoN, our NoN approaches outperform the single-level approaches for just under half of the protein functions, and for 30% of the functions, only our NoN approaches make meaningful predictions, while node- and network-level ones achieve random accuracy. So, NoN-based data integration is important.The software and data are available at https://nd.edu/~cone/NoNs.Supplementary data are available at Bioinformatics online.
TL;DR: In this paper , a passive sampling and rapid LAMP detection of SARS-CoV-2 for near-source (i.e., building-level) wastewater based epidemiology applications is evaluated.
Abstract: This study evaluated a passive sampling and rapid LAMP detection of SARS-CoV-2 for near-source ( i.e. , building-level) wastewater based epidemiology applications.
TL;DR: In this article , a critical review of the chemistry of reactive spark plasma sintering (RSPS) is presented, which provides the fundamental definitions of chemistry related parameters of RSPS, analyzes the thermodynamics and kinetics of the RSPS processes, and emphasizes the influence of the microstructure of the consolidated media on the chemistry.
TL;DR: In this paper , the intensity and timing with which individuals shed RNA from severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) into wastewater was investigated.
Abstract: Since the start of the coronavirus disease-2019 (COVID-19) pandemic, there has been interest in using wastewater monitoring as an approach for disease surveillance. A significant uncertainty that would improve the interpretation of wastewater monitoring data is the intensity and timing with which individuals shed RNA from severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) into wastewater. By combining wastewater and case surveillance data sets from a university campus during a period of heightened surveillance, we inferred that individual shedding of RNA into wastewater peaks on average 6 days (50% uncertainty interval (UI): 6-7; 95% UI: 4-8) following infection, and that wastewater measurements are highly overdispersed [negative binomial dispersion parameter, k = 0.39 (95% credible interval: 0.32-0.48)]. This limits the utility of wastewater surveillance as a leading indicator of secular trends in SARS-CoV-2 transmission during an epidemic, and implies that it could be most useful as an early warning of rising transmission in areas where transmission is low or clinical testing is delayed or of limited capacity.
TL;DR: Bayesian Optimization (BO) has been used extensively in chemical products and materials, including molecular design, drug discovery, molecular modeling, electrolyte design, and additive manufacturing as discussed by the authors.
Abstract: The design of chemical-based products and functional materials is vital to modern technologies, yet remains expensive and slow. Artificial intelligence and machine learning offer new approaches to leverage data to overcome these challenges. This review focuses on recent applications of Bayesian optimization (BO) to chemical products and materials including molecular design, drug discovery, molecular modeling, electrolyte design, and additive manufacturing. Numerous examples show how BO often requires an order of magnitude fewer experiments than Edisonian search. The essential equations for BO are introduced in a self-contained primer specifically written for chemical engineers and others new to the area. Finally, the review discusses four current research directions for BO and their relevance to product and materials design.
TL;DR: Bayesian Optimization (BO) has been used in many applications in chemical products and materials, including molecular design, drug discovery, molecular modeling, electrolyte design, and additive manufacturing as mentioned in this paper .
Abstract: The design of chemical-based products and functional materials is vital to modern technologies, yet remains expensive and slow. Artificial intelligence and machine learning offer new approaches to leverage data to overcome these challenges. This review focuses on recent applications of Bayesian optimization (BO) to chemical products and materials including molecular design, drug discovery, molecular modeling, electrolyte design, and additive manufacturing. Numerous examples show how BO often requires an order of magnitude fewer experiments than Edisonian search. The essential equations for BO are introduced in a self-contained primer specifically written for chemical engineers and others new to the area. Finally, the review discusses four current research directions for BO and their relevance to product and materials design.
TL;DR: In this article , a skin damage animal model was prepared by UV-photoaging and recombinant humanized type III collagen (rhCol III) was applied as a bioactive material to implant in vivo to study its biological effect, comparing with saline and uncrosslinked hyaluronic acid (HA).
TL;DR: In this article , the authors investigated the inactivation of SARS-CoV-2 in DI water and municipal wastewater primary influent by sodium hypochlorite (free chlorine) addition.
TL;DR: Wang et al. as discussed by the authors presented an approach to predict crosswind force spectra and associated response of tall buildings with rectangular cross-section based on machine learning (ML) technique and random vibration-based response analysis.
TL;DR: In this article , the anti-DLL3 mAb SC16 was radiolabeled with the therapeutic radioisotope, Lutetium-177, which demonstrated high tumor uptake with DLL3-target specificity in tumor xenografts.
Abstract: Small cell lung cancer (SCLC) is an exceptionally lethal form of lung cancer with limited treatment options. Delta-like ligand 3 (DLL3) is an attractive therapeutic target as surface expression is almost exclusive to tumor cells.We radiolabeled the anti-DLL3 mAb SC16 with the therapeutic radioisotope, Lutetium-177. [177Lu]Lu-DTPA-CHX-A"-SC16 binds to DLL3 on SCLC cells and delivers targeted radiotherapy while minimizing radiation to healthy tissue.[177Lu]Lu-DTPA-CHX-A"-SC16 demonstrated high tumor uptake with DLL3-target specificity in tumor xenografts. Dosimetry analyses of biodistribution studies suggested that the blood and liver were most at risk for toxicity from treatment with high doses of [177Lu]Lu-DTPA-CHX-A"-SC16. In the radioresistant NCI-H82 model, survival studies showed that 500 μCi and 750 μCi doses of [177Lu]Lu-DTPA-CHX-A"-SC16 led to prolonged survival over controls, and 3 of the 8 mice that received high doses of [177Lu]Lu-DTPA-CHX-A"-SC16 had pathologically confirmed complete responses (CR). In the patient-derived xenograft model Lu149, all doses of [177Lu]Lu-DTPA-CHX-A"-SC16 markedly prolonged survival. At the 250 μCi and 500 μCi doses, 5 of 10 and 7 of 9 mice demonstrated pathologically confirmed CRs, respectively. Four of 10 mice that received 750 μCi of [177Lu]Lu-DTPA-CHX-A"-SC16 demonstrated petechiae severe enough to warrant euthanasia, but the remaining 6 mice demonstrated pathologically confirmed CRs. IHC on residual tissues from partial responses confirmed retained DLL3 expression. Hematologic toxicity was dose-dependent and transient, with full recovery within 4 weeks. Hepatotoxicity was not observed.Together, the compelling antitumor efficacy, pathologic CRs, and mild and transient toxicity profile demonstrate strong potential for clinical translation of [177Lu]Lu-DTPA-CHX-A"-SC16.
TL;DR: In this paper , an implantable microelectrode array sensor that can collect such tissue-based pharmacokinetic data by simultaneously measuring intratumoral pharmacokinetics from multiple sites was developed.
Abstract: The efficacy and safety of a chemotherapy regimen fundamentally depends on its pharmacokinetics. This is currently measured based on blood samples, but the abnormal vasculature and physiological heterogeneity of the tumor microenvironment can produce radically different drug pharmacokinetics relative to the systemic circulation. We have developed an implantable microelectrode array sensor that can collect such tissue-based pharmacokinetic data by simultaneously measuring intratumoral pharmacokinetics from multiple sites. We use gold nanoporous microelectrodes that maintain robust sensor performance even after repeated tissue implantation and extended exposure to the tumor microenvironment. We demonstrate continuous in vivo monitoring of concentrations of the chemotherapy drug doxorubicin at multiple tumor sites in a rodent model and demonstrate clear differences in pharmacokinetics relative to the circulation that could meaningfully affect drug efficacy and safety. This platform could prove valuable for preclinical in vivo characterization of cancer therapeutics and may offer a foundation for future clinical applications.
TL;DR: This paper developed a set of scales to assess internalizing symptoms, including stress, fear, body dysmorphia, and Mania, which were used for the Hierarchical Taxonomy of Psychopathology.
Abstract: As part of a broader project to create a comprehensive self-report measure for the Hierarchical Taxonomy of Psychopathology consortium, we developed preliminary scales to assess internalizing symptoms. The item pool was created in four steps: (a) clarifying the range of content to be assessed, (b) identifying target constructs to guide item writing, (c) developing formal definitions for each construct, and (d) writing multiple items for each construct. This yielded 430 items assessing 57 target constructs. Responses from a heterogeneous scale development sample (N = 1,870) were subjected to item-level factor analyses based on polychoric correlations. This resulted in 39 scales representing a total of 213 items. The psychometric properties of these scales replicated well across the development sample and an independent validation sample (N = 496 adults). Internal consistency analyses established that most scales assess relatively narrow forms of psychopathology. Structural analyses demonstrated the presence of a strong general factor. Additional analyses of the 35 nonsexual dysfunction scales revealed a replicable four-factor structure with dimensions we labeled Distress, Fear, Body Dysmorphia, and Mania. A final set of analyses established that the internalizing scales varied widely-and consistently-in the strength of their associations with neuroticism and extraversion.
TL;DR: In this paper , the authors demonstrate catalyzed nitrogen (N2) oxidation in a radio frequency plasma afterglow at conditions at which neither catalyst nor plasma alone produces significant concentrations of nitric oxide (NO).
Abstract: Heterogeneous catalysts coupled with non-thermal plasmas (NTP) are known to achieve reaction yields that exceed the contributions of the individual components. Rationalization of the enhancing potential of catalysts, however, remains challenging because the background contributions from NTP or catalysts are often non-negligible. Here, we first demonstrate platinum (Pt)-catalyzed nitrogen (N2) oxidation in a radio frequency plasma afterglow at conditions at which neither catalyst nor plasma alone produces significant concentrations of nitric oxide (NO). We then develop reactor models based on reduced NTP- and surface-microkinetic mechanisms to identify the features of each that lead to the synergy between NTP and Pt. At experimental conditions, NTP and thermal catalytic NO production are suppressed by radical reactions and high N2 dissociation barrier, respectively. Pt catalyzes NTP-generated radicals and vibrationally excited molecules to produce NO. The model construction further illustrates that the optimization of productivity and energy efficiency involves tuning of plasma species, catalysts properties, and the reactor configurations to couple plasma and catalysts. These results provide unambiguous evidence of synergism between plasma and catalyst, the origins of that synergy for N2 oxidation, and a modeling approach to guide material selection and system optimization.
TL;DR: This article proposed the use of transformer models for the prediction of dynamical systems representative of physical phenomena using Koopman-based embeddings, which provides a unique and powerful method for projecting any dynamical system into a vector representation which can then be predicted by a transformer.
TL;DR: In this paper , the effect of pulsed direct current (PDC) on solid-state diffusion in the Ni-Al binary system was investigated, and it was shown that the PDC passing through the diffusion couple significantly enhanced the growth rates of both phases.
TL;DR: In this article, the synthesis of CoP/CoOx heterostructured nanoparticles with abundant OVs and dramatically enhanced charge transfer efficiency (CTE) through a reliable partial phosphidation method using ZIF-67 as a precursor was reported.