A theoretical model for describing the emission spectra of microsphere cavities is presented, and its predictions of detailed lineshapes of emission spectra associated with whispering gallery modes (WGMs) of various o...
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MOTIVATION:The synthesis of proteins with novel desired properties is challenging but sought after by the industry and academia. The dominating approach is based on trial-and-error inducing point mutations, assisted b...
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MOTIVATION:The synthesis of proteins with novel desired properties is challenging but sought after by the industry and academia. The dominating approach is based on trial-and-error inducing point mutations, assisted by structural information or predictive models built with paired data that are difficult to collect. This study proposes a sequence-based unpaired-sample of novel protein inventor (SUNI) to build ThermalProGAN for generating thermally stable proteins based on sequence information.
RESULTS:The ThermalProGAN can strongly mutate the input sequence with a median number of 32 residues. A known normal protein, 1RG0, was used to generate a thermally stable form by mutating 51 residues. After superimposing the two structures, high similarity is shown, indicating that the basic function would be conserved. Eighty four molecular dynamics simulation results of 1RG0 and the COVID-19 vaccine candidates with a total simulation time of 840[Formula: see text]ns indicate that the thermal stability increased.
CONCLUSION:This proof of concept demonstrated that transfer of a desired protein property from one set of proteins is feasible. The source code of ThermalProGAN can be freely accessed at https://***/markliou/ThermalProGAN/ with an MIT license. The website is https://***:433. Supplementary data are available on Github.
The authors regret that a related article was not cited in the original published article.1 In the first paragraph, the sentence “We introduce a surface treatme
The authors regret that a related article was not cited in the original published article.1 In the first paragraph, the sentence “We introduce a surface treatme
A low twist angle between the two stacked crystal networks in bilayer graphene enables self-organized lattice reconstruction with the formation of a periodic domain. This superlattice modulates the vibrational and ele...
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Following publication of the original article [1], the authors reported errors in Table 1. The first heading of the table should read “Continuous variables” and not “Categorical variables”. The correct table is gi...
Following publication of the original article [1], the authors reported errors in Table 1. The first heading of the table should read “Continuous variables” and not “Categorical variables”. The correct table is given in this correction article. The original article [1] has been corrected. (Table presented.) Lipid and other phenotypic/clinical variables, and sex effects, in adults with a 22q11.2 microdeletion TG (mmol/L)a 149 1.92 1.18 74 2.25 1.37 75 1.60 0.85 HDLC (mmol/L) 150 1.15 0.35 75 0.99 0.28 75 1.31 0.33 LDLC (mmol/L) 148 2.71 0.87 73 2.67 0.86 75 2.75 0.88 LDLC statin-adjusted (mmol/L)b 148 2.81 0.93 73 2.74 0.85 75 2.88 0.99 TC (mmol/L) 151 4.72 0.98 76 4.64 0.98 75 4.80 0.99 TC statin-adjusted (mmol/L)b 151 4.84 1.06 76 4.74 1.02 75 4.94 1.09 BMI (kg/m2) 151 30.29 7.39 76 29.82 7.36 75 30.77 7.44 Agec 151 35.66 11.2 76 34.92 11.51 75 36.42 10.9 Mild-moderate HTGa,d 67 45.0 45 60.8 22 29.3 On statin medication 16 10.6 7 9.2 9 12.0 Type 2 diabetes 14 9.3 8 10.5 6 8.0 Psychotic illnesse 65 43.0 37 48.7 28 37.3 European ancestry 135 89.4 71 93.4 64 85.3 SD Standard deviation, TG Triglyceride, LDLC Low density lipoprotein cholesterol, HDLC High density lipoprotein cholesterol, TC Total cholesterol, BMI Body mass index, HTG Hypertriglyceridemia, T2D type 2 diabetes aExcluded one individual on fibrates (n = 1) bFor individuals on statin medications, LDLC and TC levels were divided by 0.7 and 0.8, respectively, as in previous studies [8, 9, 32] cRecorded at the date of TC measurement to the nearest 0.1 years dMild-moderate HTG is defined as having a TG level between 1.7–10 mmol/L. For this row only, there are n = 74 males and n = 149 total eDefined as schizophrenia or schizoaffective disorder.
Atomically precise epitaxial structures are unique systems for tunneling spectroscopy that minimize extrinsic effects of disorder. We present a systematic tunneling spectroscopy study, over a broad doping, temperature...
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We generated pulses of electromagnetic radiation in the terahertz (THz) frequency range by optical excitation of Co2Fe0.4Mn0.6Si (CFMS)/normal-metal (NM) bilayer structures. The CFMS is a Heusler alloy showing a band ...
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We generated pulses of electromagnetic radiation in the terahertz (THz) frequency range by optical excitation of Co2Fe0.4Mn0.6Si (CFMS)/normal-metal (NM) bilayer structures. The CFMS is a Heusler alloy showing a band gap in one spin channel and is therefore a half metal. We compared the THz emission efficiency in a systematic manner for four different CFMS/NM bilayers, where NM was either Pt, Ta, Cr, or Al. Our measurements show that the THz intensity is highest for a Pt capping. We also demonstrate the tunability of the THz amplitude by varying the magnetic field for all four bilayers. We attribute the THz generation to the inverse spin Hall effect. In order to investigate the role of the interface in THz generation, we measured the spin mixing conductance for each CFMS/NM bilayer using a ferromagnetic resonance method. We found that the spin-orbit coupling cannot completely describe the THz generation in the bilayers and that the spin transmission efficiency of the CFMS/NM interface and the spin diffusion length, as well as the oxidation of the NM layer, play crucial roles in the THz emission process.
Foam injection in porous media has been extensively studied for its ability to improve sweep efficiency by mitigating nonlinear phenomena such as gravitational segregation and viscous fingering. However, modeling foam...
Foam injection in porous media has been extensively studied for its ability to improve sweep efficiency by mitigating nonlinear phenomena such as gravitational segregation and viscous fingering. However, modeling foam flow remains a significant challenge, mainly due to the complex interactions between foam and heterogeneous geological formations, which are often difficult to characterize. In particular, the spatial distribution of absolute permeability is difficult to obtain, due to scarce data and strong heterogeneity. These challenges introduce uncertainties into predictive models. In particular, the relationship between foam flow and uncertainties related to absolute permeability fields remains underexplored in the literature. This work performs uncertainty propagation studies to investigate the influence of permeability heterogeneity on foam flow in porous media. This is achieved by coupling the Karhunen-Loève expansion (KLE), which generates Gaussian random permeability fields, with Polynomial Chaos Expansion (PCE), a method for propagating uncertainties in a computationally efficient manner. This approach allows for the evaluation of permeability variations impact on key quantities of interest (QoIs) related to flow performance. The results, derived from uncertainty quantification (UQ) and sensitivity analysis (SA), reveal that foam behavior is highly sensitive to the spatial correlation structures of permeability, with important implications for optimizing foam flow processes. The integration of KLE and PCE provides the first systematic framework for uncertainty propagation in foam flow analysis, unveiling previously unexplored correlations and behaviors. These findings highlight the importance of incorporating permeability uncertainties into modeling to improve the reliability and efficiency of both subsurface flow applications, including resource recovery and carbon sequestration efforts. The proposed methodology can be particularly beneficial in practical
This paper reports on the basic findings and future perspectives of a capacity building project funded by the European Union. The International Master of science on Cyber Physical Systems (MS@CPS) is a collaborative p...
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This paper reports on the basic findings and future perspectives of a capacity building project funded by the European Union. The International Master of science on Cyber Physical Systems (MS@CPS) is a collaborative project that aims to establish a master program in cyber physical systems (CPS). A consortium composed of nine partners proposed the project. Three partners are European and from Germany, UK and Sweden; while the other six partners are from the South Mediterranean region and include: Palestine, Jordan and Tunisia. The consortium is led by the University of Siegen in Germany who also manages the implementation of the work packages. CPS is an emerging engineering subject with significant economic and societal implications, which motivated the consortium to propose the establishment of a master program to offer educational and training opportunities at graduate level in the fields of CPS. In this paper, CPS as a field of study is presented with an emphasis on its importance, especially with regard to meeting local needs. A brief description of the project is presented in conjunction with the methodology for developing the courses and their learning outcomes.
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