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Chitin and chitosan are important structural macromolecules for most fungi and marine crustaceans. The functions and application areas of the two molecules are also adjacent beyond their similar molecular structure, such as tissue engineering and food safety where solution systems are involved. However, the elasticities of chitin and chitosan in solution lack comparison at the molecular level. In this study, the single-molecule elasticities of chitin and chitosan in different solutions are investigated via atomic force microscope (AFM) based single-molecule spectroscopy (SMFS). The results manifest that the two macromolecules share the similar inherent elasticity in DOSM due to their same chain backbone. However, obvious elastic deviations can be observed in aqueous conditions. Especially, a lower pH value (acid environment) is helpful to increase the elasticity of both chitin and chitosan. On the contrary, the tendency of elastic variation of chitin and chitosan in a larger pH value (alkaline environment) shows obvious diversity, which is mainly determined by the side groups. This basic study may produce enlightenment for the design of intelligent chitin and chitosan food packaging and biomedical materials.
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Deep learning technology has been widely adopted in the research of automatic arrhythmia detection. However, there are several limitations in existing diagnostic models, e.g., difficulties in extracting temporal information from long-term ECG signals, a plethora of parameters, and sluggish operation speed. Additionally, the diagnosis performance of arrhythmia is prone to mistakes from signal noise. This paper proposes a smartphone-based m-health system for arrhythmia diagnosis. First, we design a cycle-GAN-based ECG denoising model which takes real-world noise signals as input and aims to produce clean ECG signals. In order to train its two generators and two discriminators simultaneously, we explore an unsupervised pre-training strategy to initialize the generator and accelerate the convergence speed during training. Second, we propose an arrhythmia diagnosis model based on the time convolution network (TCN). This model can identify 34 common arrhythmia events using eight-lead ECG signals, and we deploy such a model on the Android platform to develop an at-home ECG monitoring system. Experimental results have demonstrated that our approach outperforms the existing noise reduction methods and arrhythmia diagnosis models in terms of denoising effect, recognition accuracy, model size, and operation speed, making it more suitable for deployment on mobile devices for m-health monitoring services.
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Arritmias Cardíacas , Electrocardiografía , Teléfono Inteligente , Arritmias Cardíacas/diagnóstico , Humanos , Monitoreo Fisiológico , Procesamiento de Señales Asistido por Computador , Telemedicina , AlgoritmosRESUMEN
Nymphalidae is the most diverse butterfly family worldwide, with more than 6000 species, whereas the mitogenomic data of nymphalid species, especially the subfamily Danainae, is still lacking for more comprehensive systematic studies. To this contribution, the complete mitogenome of Danaus genutia (Lepidoptera: Nymphalidae: Danainae) was determined via sequencing and annotating. The mitogenome in total consists of 15,255 base pairs (bp), containing 13 protein-coding genes, 22 transfer RNAs, 2 ribosomal RNAs, and a 440-bp noncoding A+T-rich region. Furthermore, phylogeny of the subfamily Danainae was reconstructed applying maximum likelihood and Bayesian inference on the basis of the mitogenomic data sets. Combined with our analysis and previous studies, the genus-level phylogenetic relationships within the subfamily Danainae are ((Tirumala + Danaus) + ((Idea + Euploea) + (Ideopsis + Parantica))). This study offers molecular information and provides a new perspective for phylogenetic research within the subfamily Danainae.
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Mariposas Diurnas , Genoma Mitocondrial , Lepidópteros , Animales , Teorema de Bayes , FilogeniaRESUMEN
In order to evaluate the mechanism of action of activated sludge properties in nitrogen removal by endogenous denitrification (henceforth EDNR), a new kind of automatic oxygen supply device(AOSD), was applied to the A/O process. The domestication effect of the aeration mode on the activated sludge properties and microbial communities was investigated under the intelligent aeration-controlled A/O process (I-A/O)and the continuous aeration A/O process (C-A/O). The results demonstrated that the effluent NH4+-N and NO2--N components showed obvious accumulation efficiencies and activated sludge generated conspicuous limited bulking in the I-A/O process. Domesticated sludge in the I-A/O process was able to enrich more SCOD to transfer into the polymeric substances as Gly, under a rich exogenous carbon supply state, and stimulated nitrogen removal by endogenous denitrifying under a scarce exogenous carbon supply state. The EDNR rate went up to 0.83 mg·(L·h)-1 in the I-A/O process, which was more than that achieved by the C-A/O process. The microbial communities in the two processes were evaluated by the Illumina HiSeq high-throughput sequencing technology. The results showed that there was no obvious difference in the sludge microbial community diversity between the two processes, but the Candidate division TM7 proliferated in the I-A/O process, and become the abundant taxa to prompt limited filamentous sludge bulking and Gly storage capability enhancement. The oxygen supply mode of AOSD made the activated sludge properties and microbial communities to be screened selectively in the new environment, aerobic heterotrophic bacterial activity to decline, and endogenous denitrifying action to strengthen, which made the I-A/O process implement a kind of dynamic balanced state that limited the DO demand.
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Reactores Biológicos/microbiología , Desnitrificación , Nitrógeno/aislamiento & purificación , Aguas del Alcantarillado/microbiología , Eliminación de Residuos Líquidos/métodosRESUMEN
Three-dimensional (3D) cell cultures have increased complexity compared to simple monolayer and suspension cultures, recapitulating the cellular architecture and molecular gradients in tissue. As such, they are popular for in vitro models in biological research. Classical imaging methodologies, like immunohistochemistry, are commonly used to examine the distribution of specific species within the spheroids. However, there is a need for an unbiased discovery-based methodology that would allow examination of protein/peptide distributions in 3D culture systems, without a need for prior knowledge of the analytes. We have developed a matrix-assisted laser desorption/ionization-mass spectrometry (MALDI-MS)-based imaging approach to examine protein distributions in 3D cell culture models. Using colon carcinoma cell lines, we detect changes in the spatial distribution of proteins across 3D culture structures. To identify the protein species present, we are combining results from the MS/MS capabilities of MALDI-MS to sequence peptides in a de novo fashion and nanoflow liquid chromatography-tandem mass spectrometry (nLC-MS/MS) of homogenized cultures. As a proof-of-principle, we have identified cytochrome C and Histone H4 as two of the predominant protein species in the 3D colon carcinoma cultures.
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Técnicas de Cultivo de Célula , Neoplasias del Colon/patología , Neoplasias del Colon/química , Citocromos c/análisis , Histonas/análisis , Humanos , Espectrometría de Masas , Células Tumorales CultivadasRESUMEN
Monodisperse CeO(2) nanocrystals and superlattice-like colloidal particles have been successfully synthesized in ethanol-water mixed solvent by adopting a one-pot approach using icosahedral (NH(4))(2)Ce(NO(3))(6) as precursor.
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Uniform LnPO(4).x H(2)O (Ln=Y, La-Nd, Sm-Lu) nanocrystals that have controllable 0D (spherelike), 1D (rodlike), and 2D (polygonlike) structures have been systematically synthesized by means of a hydrothermal method by using a mixed solvent of water and ethanol. Transmission electron microscopy images and SEAD (selected area electron diffraction) patterns revealed that the products are highly crystalline and have structurally uniform shapes. IR, Raman, and electron energy loss spectroscopies gave spectra that indicated that an amount of oleic acid molecules were presented at the surface of individual nanocrystals. These nanocrystals have hydrophobic surfaces and could be easily dispersed in nonpolar solvents. Moreover, a creditable synthetic mechanism for nucleation, growth, and shape evolution has been proposed. Eu(3+) doped products were also prepared by using the same synthetic process. The Eu(3+) doped products exhibited an orange-red luminescence that is ascribed to an electron transition within the 4f shell. Analysis of the photoluminescent spectra revealed that the optical properties are strongly dependent on their morphologies.