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4,578 results for “Assistance”
Data from: Plasma assisted CO2 methanation: effects on the low-temperature activity of a Ni-Ce catalyst and reaction performance
Ni-Ce three-dimensional material with macropore diameter of 146.6±8.4 nm were synthesized and used for methanation catalyst. Firstly, H2-reduction of catalyst was conducted in thermal fixed bed and plasma reactor respectively, then X-ray diffraction (XRD) and CO2 Temperature Programmed Desorption (TPD) experiments on the two reduced samples were carried out to reveal the plasma effect on catalyst's physicochemical properties. It was found that plasma reduction created more abundant basic sites for CO2 adsorption, especially the medium basic sites were even doubled compared with the thermal reduced catalysts. The plasma reduced catalyst exhibited excellent low-temperature activity, ca. 50~60 oC lower than the thermal catalyst (the maximum CO2 conversion point). Based on the optimum reduced catalyst, plasma effect in the reactor level was further investigated under high gas hour space velocity (GHSV) ~50000 h-1. The plasma reactor showed higher CO2 conversion capacity and efficiency than the thermal reactor.
Data from: Microwave-assisted synthesis of high thermal stability and colorless polyimides containing pyridine
A novel aromatic diamine containing pyridyl side group, 4-pyridine-4,4-bis(3,5-dimethyl-5-aminophenyl)methane (PyDPM), was successfully synthesized via electrophilic substitution reaction. The polyimides (PIs) containing pyridine were obtained via the microwave-assisted one-step polycondensation of the PyDPM with pyromellitic dianhydride (PMDA), 3,3',4,4'-biphenyltetracarboxylic dianhydride (BPDA), 3,3',4,4'-diphenylether tetracarboxylic dianhydride (ODPA) and 4,4'-(hexafluoroisopropylidene)diphthalic anhydride (6FDA). Contrarily to the reported similar PIs, these PIs exhibit much higher thermal stability or heat resistance, i.e. high glass transition temperatures (Tgs) in the range of 358-473 °C, and the decomposition temperatures at 5% weight loss were over 476 °C under nitrogen. They can afford flexible and strong films with tensile strength of 82.1-93.3 MPa, elongation at break of 3.7%-15.2%, and Young's modulus of 3.3-3.8 GPa. Furthermore, The PI films exhibit good optical transparency with the cutoff wavelength at 313-366 nm and transmittance higher than 73% at 450 nm. The excellent thermal and optical transmittance can be attributed to synthesis method and the introduction of pyridine rings and ortho-methyl groups. The inherent viscosities of PIs via one-step method were found to be 0.58-1.12 dL g−1 in DMAc, much higher than those via two-step method. These results indicate these PIs could be potential candidates for optical substrates of OLEDs.
Data from: Membrane-assisted extraction of monoterpenes: from in-silico solvent screening towards biotechnological process application
This work focuses on the process development of membrane-assisted solvent extraction of hydrophobic compounds such as monoterpenes. Beginning with the choice of suitable solvents, quantum chemical calculations with the simulation tool COSMO-RS were carried out to predict the partition coefficient (logP) of (S)-(+)-carvone and terpinen-4-ol in various solvent-water systems and validated afterwards with experimental data. COSMO-RS results show good prediction accuracy for nonpolar solvents like n-hexane, ethyl acetate and n-heptane even in the presence of salts and glycerol in aqueous medium. Based on the high logP value, n-heptane was chosen for the extraction of (S)-(+)-carvone in a lab-scale hollow-fiber membrane contactor. Two operation modes are investigated where experimental and theoretical mass transfer values, based on their related partition coefficients were compared. In addition, the process is evaluated in terms of extraction efficiency and overall product recovery, and its biotechnological application potential discussed. Our work demonstrates that the combination of in-silico prediction by COSMO-RS with membrane-assisted extraction is a promising approach for the recovery of hydrophobic compounds from aqueous solutions.
Data from: Computer assisted detection of axonal bouton structural plasticity in in vivo time-lapse images
The ability to measure minute structural changes in neural circuits is essential for long-term in vivo imaging studies. Here, we propose a methodology for detection and measurement of structural changes in axonal boutons imaged with time-lapse two-photon laser scanning microscopy (2PLSM). Correlative 2PLSM and 3D electron microscopy (EM) analysis, performed in mouse barrel cortex, showed that the proposed method has low fractions of false positive/negative bouton detections (2/0 out of 18), and that 2PLSM-based bouton weights are correlated with their volumes measured in EM (r=0.93). Next, the method was applied to a set of axons imaged in quick succession to characterize measurement uncertainty. The results were used to construct a statistical model in which bouton addition, elimination, and size changes are described probabilistically, rather than being treated as deterministic events. Finally, we demonstrate that the model can be used to quantify significant structural changes in boutons in long-term imaging experiments.
Data from: Structurally assisted super black in colorful peacock spiders
Male peacock spiders (Maratus, Salticidae) compete to attract female mates using elaborate, sexually-selected displays. They evolved both brilliant color and velvety black. Here we use scanning electron microscopy (SEM), hyperspectral imaging, and finite-difference time-domain (FDTD) optical modeling to investigate the deep black surfaces of peacock spiders. We found that super black regions reflect <0.5% of light (for a 30° collection angle) in Maratus speciosus (0.44%) and Maratus karrie (0.35%) due to microscale structures. Both species evolved unusually high, tightly packed cuticular bumps (microlens arrays), and M. karrie has an additional dense covering of black brush-like scales atop the cuticle. Our optical models show that the radius and height of spider microlenses achieve a balance between (i) decreased surface reflectance and (ii) enhanced melanin absorption (through multiple scattering, diffraction out of the acceptance cone of female eyes, and increased path length of light through absorbing melanin pigments). The birds-of-paradise (Paradiseidae), ecological analogues of peacock spiders, also evolved super black near bright color patches. Super black locally eliminates white specular highlights, reference points used to calibrate color perception, making nearby colors appear brighter, even luminous, to vertebrates. We propose that this pre-existing, qualitative sensory experience—"sensory bias"—is also found in spiders, leading to the convergent evolution of super black for mating displays in jumping spiders.
Data from: Outcome of assisted reproductive technology (ART) and subsequent self-reported life satisfaction
Objective: To compare life satisfaction between women with successful or unsuccessful outcome after assisted reproductive treatment (ART) by taking into account the time since the last ART. Design: Cohort study. Setting: Tertiary hospital. Patients: A total of 987 consecutive women who had undergone ART during 1996–2007 were invited and altogether 505 women participated in the study. Interventions: A postal enquiry with a life satisfaction scale. Main Outcome Measure: Self-reported life satisfaction in respect to the time since the last ART. Results: In general, women who achieved a live birth after ART had a significantly higher life satisfaction than those who had unsuccessful ART, especially when compared in the first three years. The difference disappeared in the time period of 6–9 years after ART. The unsuccessfully treated women who had a child by some other means before or after the unsuccessful ART had comparable life satisfaction with successfully treated women even earlier. Conclusions: Even if unsuccessful ART outcome is associated with subsequent lower level of life satisfaction, it does not seem to threaten the long-term wellbeing.
Data from: TipDatingBeast: an R package to assist the implementation of phylogenetic tip-dating tests using BEAST
Molecular tip-dating of phylogenetic trees is a growing discipline that uses DNA sequences sampled at different points in time to co-estimate the timing of evolutionary events with rates of molecular evolution. In this context, BEAST, a program for Bayesian analysis of molecular sequences, is the most widely used phylogenetic tool. Here, we introduce TipDatingBeast, an R package built to assist the implementation of various phylogenetic tip-dating tests using BEAST. TipDatingBeast currently contains two main functions. The first one allows preparing date-randomization analyses, which assess the temporal signal of a dataset. The second function allows performing leave-one-out analyses, which test for the consistency between independent calibration sequences and allow pinpointing those leading to potential bias. We apply those functions to an empirical dataset and supply practical guidance for results interpretation.
Dataset for AI-assisted processing pipeline to boost isoform detection
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Deep learning-assisted single-molecule detection of protein post-translational modifications with a biological nanopore
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Machine Learning-assisted immunophenotyping of peripheral blood identifies innate immune cells as best predictor of response to induction chemo-immunotherapy in head and neck squamous cell carcinoma – knowledge obtained from the CheckRad-CD8 trial
<p>Raw cell counts from peripheral blood immune phenotyping across individual patients.</p>
Active learning molecular dynamics-assisted insights into ultralow thermal conductivity of two-dimensional covalent organic frameworks
<p>This is a training sets for monolayer COF-5, which could be used for NEP trainging.</p>
Figure 3 from: Nguyen N-VT, Nguyen CV, Duong NT, Dai X-TT, Nguyen KT, Le C-TT (2024) Optimization of ultrasound-assisted extraction using response surface methodology and quantification of polyphenol compounds in Avicennia officinalis L. from Vietnam. Pharmacia 71: 1-9. https://doi.org/10.3897/pharmacia.71.e115528
Figure 3 3D response surface curve showing the influences of independent variables on the TFC (A–F).
Figure 2 from: Nguyen N-VT, Nguyen CV, Duong NT, Dai X-TT, Nguyen KT, Le C-TT (2024) Optimization of ultrasound-assisted extraction using response surface methodology and quantification of polyphenol compounds in Avicennia officinalis L. from Vietnam. Pharmacia 71: 1-9. https://doi.org/10.3897/pharmacia.71.e115528
Figure 2 3D response surface curve showing the influences of independent variables on the TPC (A–F).
Figure 4 from: Nguyen N-VT, Nguyen CV, Duong NT, Dai X-TT, Nguyen KT, Le C-TT (2024) Optimization of ultrasound-assisted extraction using response surface methodology and quantification of polyphenol compounds in Avicennia officinalis L. from Vietnam. Pharmacia 71: 1-9. https://doi.org/10.3897/pharmacia.71.e115528
Figure 4 HPLC chromatogram of A. officinalis leaves extract. a Mobile phase solvent; b Solute sovent; c Extraction solvent; d Spiked sample; e Mixed standards solution; f Standard addition. (C1: Chlorogenic acid, C2: p-coumaric acid, C3: Sinapic acid, C4: Taxifolin, C5: Luteolin -7-O-glucoside, C6: Cinnamic acid).
Figure 1 from: Nguyen N-VT, Nguyen CV, Duong NT, Dai X-TT, Nguyen KT, Le C-TT (2024) Optimization of ultrasound-assisted extraction using response surface methodology and quantification of polyphenol compounds in Avicennia officinalis L. from Vietnam. Pharmacia 71: 1-9. https://doi.org/10.3897/pharmacia.71.e115528
Figure 1 Influence of methanol concentration, ratio of solid to liquid, temperature and time ultrasonic on the extration of TPC and TFC from A. officinalis leave extracts.
A Comparison of Machine-Learning Assisted Optical and Thermal Camera Systems for Beehive Activity Counting
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Scheme 5 from: Mateev E, Irfan A, Mateeva A, Georgieva M, Zlatkov A (2024) Microwave-assisted organic synthesis of pyrroles (Review). Pharmacia 71: 1-10. https://doi.org/10.3897/pharmacia.71.e119866
Scheme 5 Synthesis of substituted pyrroles from 1,4-diaryl-2-butene-1,4-diones and ammonium formate.
Scheme 2 from: Mateev E, Irfan A, Mateeva A, Georgieva M, Zlatkov A (2024) Microwave-assisted organic synthesis of pyrroles (Review). Pharmacia 71: 1-10. https://doi.org/10.3897/pharmacia.71.e119866
Scheme 2 Pathways for the Paal-Knorr synthesis of pyrroles: A. the enamine pathway and B. the hemiaminal pathway.
Scheme 3 from: Mateev E, Irfan A, Mateeva A, Georgieva M, Zlatkov A (2024) Microwave-assisted organic synthesis of pyrroles (Review). Pharmacia 71: 1-10. https://doi.org/10.3897/pharmacia.71.e119866
Scheme 3 Formation of N-unsubstituted pyrrole by the reaction of urea and acetonylacetone absorbed over K10 in a microwave oven.
Scheme 15 from: Mateev E, Irfan A, Mateeva A, Georgieva M, Zlatkov A (2024) Microwave-assisted organic synthesis of pyrroles (Review). Pharmacia 71: 1-10. https://doi.org/10.3897/pharmacia.71.e119866
Scheme 15 A plausible mechanism of calcium(II) chloride catalyzed Paal-Knorr condensation under MW irradiation.
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.