Showing papers by "University of Nebraska–Lincoln published in 2022"
TL;DR: The introduced in vivo printing strategy for wound healing applications is translational and convenient to use in any place, such as an operating room, and does not require expensive bioprinters or imaging modalities.
54 citations
TL;DR: In this article, a highly cross-linked triazine polymer is employed to fabricate N, P co-doped porous carbon (A-TDP-12) with tunable active nitrogen in the carbon framework for simultaneous enhancement of CO2 capture capability and Supercapacitance.
41 citations
TL;DR: In this paper, a Short Methodological Report builds on research about moderation practices by focusing on a marginal effects approach to interpret how a main effect is informed by the presence of a moderati...
Abstract: This Short Methodological Report builds on research about moderation practices by focusing on a marginal effects approach to interpreting how a main effect is informed by the presence of a moderati...
37 citations
TL;DR: This research investigates an underlying connection between the minimum entropy deconvolution and the maximum kurtosis deconVolution by using the Box-Cox sparse measures (BCSM), and demonstrates that the proposed method can be used to detect multiple faults using a single measurement set.
34 citations
TL;DR: New solutions for SMEs to overcome technology, trust, and big data challenges when they adopt I4.0 technologies are proposed and evaluated based on an application case of a Greek SME, demonstrating their potentials for practical implementation.
33 citations
TL;DR: In this paper, the use of VFAs as raw material to make a variety of consumer products is reviewed in order to find a solution, and the gap between traditional and advanced VFA production and utilization methods from solid and liquid waste sources for economical stability.
30 citations
TL;DR: In this paper, P-co-doped porous carbon materials (NPPCs) are developed via a novel synthesis of the phytic acid-induced self-assembled chitosan aerogel followed by pyrolysis and activation.
29 citations
TL;DR: In this paper, a primordial black hole (PBH) formation mechanism based on a first-order phase transition (FOPT) was proposed, where the fermions are compressed into the false vacuum remnants to form non-topological solitons called Fermi-balls, and then collapse to PBHs due to the Yukawa attractive force.
29 citations
TL;DR: In this paper , the intrinsic ferroelectricity in Y-doped HfO2 epitaxial thin films was shown to increase spontaneous polarization up to a record-high 50 ¼ c/cm2 value at room temperature.
Abstract: Ferroelectric HfO2-based materials hold great potential for widespread integration of ferroelectricity into modern electronics due to their robust ferroelectric properties at the nanoscale and compatibility with the existing Si technology. Earlier work indicated that the nanometer crystal grain size was crucial for stabilization of the ferroelectric phase of hafnia. This constraint caused high density of unavoidable structural defects of the HfO2-based ferroelectrics, obscuring the intrinsic ferroelectricity inherited from the crystal space group of bulk HfO2. Here, we demonstrate the intrinsic ferroelectricity in Y-doped HfO2 films of high crystallinity. Contrary to the common expectation, we show that in the 5% Y-doped HfO2 epitaxial thin films, high crystallinity enhances the spontaneous polarization up to a record-high 50 {\mu}C/cm2 value at room temperature. The high spontaneous polarization persists at reduced temperature, with polarization values consistent with our theoretical predictions, indicating the dominant contribution from the intrinsic ferroelectricity. The crystal structure of these films reveals the Pca21 orthorhombic phase with a small rhombohedral distortion, underlining the role of the anisotropic stress and strain. These results open a pathway to controlling the intrinsic ferroelectricity in the HfO2-based materials and optimizing their performance in applications.
27 citations
TL;DR: In this article, nine supervised machine learning (ML) algorithms were integrated into a Raman spectroscopy protocol for achieving the rapid analysis of edible oil qualities, achieving an accuracy of 96.7% in detecting oil type and an adulteration prediction of 0.984.
24 citations
TL;DR: In this article, a yield prediction approach that combines daily high-resolution CubeSat imagery with the APSIM crop model was proposed to provide spatially explicit yield prediction early in the season, with good accuracy up to 21 days before the optimal regression date.
TL;DR: In this paper , it was shown that the magnitude of DMI can be controlled by ferroelectric polarization reversal, leading to creation and annihilation of skyrmions in 2D van der Waals (vdW) ferromagnetic materials.
Abstract: Magnetic skyrmions are chiral nanoscale spin textures which are usually induced by the Dzyaloshinskii-Moriya interaction (DMI). Recently, magnetic skyrmions have been observed in two-dimensional (2D) van der Waals (vdW) ferromagnetic materials, such as Fe3GeTe2. The electric control of skyrmions is important for their potential application in low-power memory technologies. Here, we predict that DMI and magnetic skyrmions in a Fe3GeTe2 monolayer can be controlled by ferroelectric polarization of an adjacent 2D vdW ferroelectric In2Se3. Based on density functional theory and atomistic spin-dynamics modeling, we find that the interfacial symmetry breaking produces a sizable DMI in a Fe3GeTe2/In2Se3 vdW heterostructure. We show that the magnitude of DMI can be controlled by ferroelectric polarization reversal, leading to creation and annihilation of skyrmions. Furthermore, we find that the sign of DMI in a In2Se3/Fe3GeTe2/In2Se3 heterostructure changes with ferroelectric switching reversing the skyrmion chirality. The predicted electrically controlled skyrmion formation may be interesting for spintronic applications.
TL;DR: A compressive sensing-based missing-data-tolerant fault detection method for remote condition monitoring of wind turbines by using the data of a generator current signal collected from each wind turbine remotely while considering different data loss rates.
Abstract: Compared with traditional onsite wind turbine condition monitoring systems (CMSs), the remote CMSs can use better computational resources to process data with more advanced algorithms and, thus, can provide more advanced condition monitoring capabilities, but may suffer from a data loss problem, especially when wireless data transmission is used. To solve this problem, this article proposes a compressive sensing-based missing-data-tolerant fault detection method for remote condition monitoring of wind turbines. First, the condition monitoring signals collected from wind turbines are conditioned to increase their sparsity. Then, a compressive-sensing-based sampling algorithm is designed to sample the conditioned signals. The resulting data samples, called measurements of the conditioned signals are transmitted wirelessly during which some data samples are possibly lost. At the data receiving end, the conditioned signals are reconstructed from the received data samples, which might be incomplete, via a compressive-sensing-based signal reconstruction algorithm. Finally, spectrum analysis is performed on the reconstructed signals for wind turbine fault detection via fault characteristic frequency identification. The proposed method is validated for bearing fault detection of a Skystream 3.7 wind turbine and an Air Breeze wind turbine by using the data of a generator current signal collected from each wind turbine remotely while considering different data loss rates.
TL;DR: In this paper, a peridynamic (PD) model for crevice corrosion damage is introduced and cross-validated with experimental results from the literature, and the model is validated against experimental results on bolted washers.
TL;DR: In this article , the same authors used KNNs to predict porosity in laser powder bed fusion (LPBF) additive manufacturing process and achieved state-of-the-art performance.
TL;DR: Jin et al. as discussed by the authors used full-field data collected by high-speed cameras combined with Digital Image Correlation (DIC), which enables studying the spatial-temporal dynamic characteristics of the system.
TL;DR: In this article, the authors demonstrate that minimization of fiber density by solvents and temperatures completely removes disperse dyes, acid dyes and direct dyes from polyethylene terephthalate, nylon and cotton fibers, respectively.
TL;DR: In this article , a peridynamic (PD) model for crevice corrosion damage is introduced and cross-validated with experimental results from the literature, and the model is validated against experimental results on bolted washers.
TL;DR: In this paper , a general and fast convolution-based method (FCBM) for peridynamics (PD) is introduced, which reduces the computational complexity of PD models from O(N^2) to O(n log_2 N), with N being the total number of discretization nodes.
TL;DR: The focus of this paper is to compare nonlinear system identification methods applied to different measurement techniques and to exploit the use of high spatial resolution data.
TL;DR: In this article, nanofibrillated EWP/pectin complexes were used for fabricating structured O/W emulsions at reduced fat content, which may contribute to formulations for healthier emulsion-based food products with an improved texture.
TL;DR: In this paper, the effect of high pressure (HPP, 300/600 MPa for 2 and 6 min) and thermal processing (TP, 65 °C/30 min) on microbial shelf-life, enzyme-activity and quality-attributes of cloudy hawthorn berry juice (CHBJ) after processing and during storage (4 °C).
TL;DR: In this article, a composite with nZVI supported by pinecone biochar (nZVI-PBC) was successfully synthesized and used for the removal of high concentration Cr(VI) from aqueous solution in the presence of Shewanella oneidensis MR-1.
TL;DR: In this paper, the impact of variation in spray drying conditions on physicochemical and emulsification properties of PPI was investigated, and the results suggest that spray drying pH, handling temperature, and hydrophobic interactions play a major role in controlling the functionality of PEIs.
Abstract: Pea protein isolate (PPI) is a promising candidate for plant-based emulsification, but there is currently a gap in functionality between commercially and laboratory produced PPI. To help address this gap, this research investigated the impact of variation in spray drying conditions on the physicochemical and emulsification properties of PPI. When the spray drying inlet temperature increased, the surface hydrophobicity, protein particle size, and emulsion droplet size also increased. Compared with the inlet temperature, the spray drying pH (5.0, 7.0, or 9.0) had a larger effect, and pH 9.0 produced the best solubility and emulsifying properties. The use of propylene glycol to inhibit hydrophobic interactions during drying partially prevented protein aggregation and therefore improved the stability of resultant emulsions. When PPI was heated above the denaturation temperature prior to spray drying, the solubility and emulsification properties significantly decreased. These results suggest that spray drying pH, handling temperature, and hydrophobic interactions play a major role in controlling the functionality of PPI. This information can be used to design better production methods and protection methods for the isolation of PPI, to better maintain its functional properties during commercial production.
TL;DR: In this paper , the authors review relevant theoretical and empirical results and highlight experimental studies of rodents and humans that provide insights into the combination of hematological changes that help attenuate the decline in aerobic performance in hypoxia.
TL;DR: In this paper, an asymmetric viscoelastic metamaterial constructed from a unit with two distinct resonators selected to isolate elastic waves in a large coupled locally resonant bandgap (LRBG) and simultaneously realize designed unidirectional zero reflection (UZR).
TL;DR: In this article , a relaxor-ferroelectric BiMg0.5O3-xSrTiO3 (BMT-xSTO, x = 0.1, 0.3 and 0.4) thin film capacitors are obtained via one-step fabrication on flexible mica substrates.
TL;DR: In this article , Akkermansia muciniphila and Bacteroides vulgatus coexistence theory was applied to understand the characteristics of gut microbiomes and modulate their composition.
Abstract: Abstract It is unclear if coexistence theory can be applied to gut microbiomes to understand their characteristics and modulate their composition. Through experiments in gnotobiotic mice with complex microbiomes, we demonstrated that strains of Akkermansia muciniphila and Bacteroides vulgatus could only be established if microbiomes were devoid of these species. Strains of A. muciniphila showed strict competitive exclusion, while B. vulgatus strains coexisted but populations were still influenced by competitive interactions. These differences in competitive behavior were reflective of genomic variation within the two species, indicating considerable niche overlap for A. muciniphila strains and a broader niche space for B. vulgatus strains. Priority effects were detected for both species as strains’ competitive fitness increased when colonizing first, which resulted in stable persistence of the A. muciniphila strain colonizing first and competitive exclusion of the strain arriving second. Based on these observations, we devised a subtractive strategy for A. muciniphila using antibiotics and showed that a strain from an assembled community can be stably replaced by another strain. By demonstrating that competitive outcomes in gut ecosystems depend on niche differences and are historically contingent, our study provides novel information to explain the ecological characteristics of gut microbiomes and a basis for their modulation.
TL;DR: Wang et al. as mentioned in this paper investigated whether the associations of loneliness with adverse health outcomes differ in community-dwelling older adults according to different living arrangements and found that living alone older adults were significantly more likely to be lonely at baseline compared with those living with others.
Abstract: Although it has been suggested that loneliness is a risk factor for adverse health outcomes, living arrangement may confound the association. This study aimed to investigate whether the associations of loneliness with adverse health outcomes differ in community-dwelling older adults according to different living arrangements.In the 2008/2009 wave of Chinese Longitudinal Healthy Longevity Survey, 13,738 community-dwelling older adults (≥65 years) were included for analyses. Living arrangements and loneliness were assessed. Health outcomes including cognitive and physical functions were assessed using MMSE, ADL/IADL scales and Frailty Index in the 2008/2009 and 2011/2012 waves; mortality was assessed in the 3-year follow-up from 2008/2009 to 2011/2012. The effect modificaitons of loneliness on adverse health outcomes by living arrangements were estimated using logistic regression or Cox proportional hazards regression models.Living alone older adults were significantly more likely to be lonely at baseline (52% vs 29.5%, OR = 1.90, 95% CI = 1.67-2.16, P < 0.001), compared with those living with others. Loneliness in older adults was a significant risk factor for prevalent cognitive impairment and frailty, and 3-year mortality, especially among those who lived with others (OR = 1.32, 95% CI = 1.15-1.52, P < 0.001; OR = 1.39, 95% CI = 1.24-1.57, P < 0.001; HR = 1.14, 95% CI = 1.05-1.24, P = 0.002, respectively). In contrast, among the living alone older adults, loneliness was only significantly associated with higher prevalence of frailty (OR = 1.42, 95% CI = 1.07-1.90, P = 0.017). Living arrangement significantly modified the associations of loneliness with prevalent cognitive impairment and 3-year mortality (P values for interaction = 0.005 and 0.026, respectively).Living arrangement modifies the associations of loneliness with adverse health outcomes in community-dwelling older adults, and those who lived with others but felt lonely had worse cognitive and physical functions as well as higher mortality. Special attention should be paid to this population and more social services should be developed to reduce adverse health outcomes, in order to improve their quality of life and promote successful aging.