Détermination du champ de contraintes dans les matériaux cristallins par microdiffraction Laue

Laue microdiffraction is a powerful technique to characterize the intragranular elastic strain field at the scale of micrometer. Although a standard procedure extracting elastic strain and crystal orientation from Laue image has been well-established, it can suffer from two sources of uncertainties: the determination of peaks' positions and the sensitivity to calibration parameters. In light of the high accuracy of digital image correlation (DIC), we developed the so-called Laue-DIC method which used the peaks' displacements measured by DIC instead of peaks' positions to determine the elastic strain increment and rotation between two mechanical configurations. This method has been proved more efficient than the standard procedure in terms of stress profiles of bended beam. We also developed the enhanced version of Laue-DIC. By using the term “enhanced”, we mean that we attempt to obtain both lattice matrices and calibration parameters of two configurations rather than solely the elastic strain increment and rotation from peaks' displacements.Aside from the formulation of Laue-DIC, we also developed a procedure of statistically estimating the errors of elastic strain/stress resulted from DIC errors and calibration accuracy. We have first validated a classical noise model, Poissonian-Gaussian model, from diffraction images acquired at synchrotron radiation facility. With the noise model, we could statistically estimate the DIC errors by synthesizing artificial spots. The estimated DIC errors were further transmitted into the errors of Laue-DIC through statistical tests.La microdiffraction Laue permet l'estimation des déformations élastiques à l'échelle du micron. La procédure d'analyse standard, bien établie, utilisée pour extraire les déformations élastiques des images de Laue est limitée par deux sources d'erreurs : la détermination de la positions des taches de Laue sur le détecteur, et la sensibilité aux paramètres de calibration du montage. Pour améliorer la procédure, nous avons développé une procédure appelée Laue-DIC qui utilise la très bonne résolution de la technique de corrélation d'images numériques (DIC). Cette méthode utilise, pour la détermination de l'incrément de déformation élastique et de rotation, le déplacement des pics entre deux configurations mécaniques, estimé par DIC, au lieu de leur position. Nous montrons que cette méthode donne un profil de contrainte en meilleur accord avec les solutions analytiques et numériques, pour des échantillons monocristallins déformés en flexion 4-points. Nous proposons également une méthode Laue-DIC améliorée, dans laquelle les paramètres de calibration sont estimés à chaque point de mesure, simultanément à la déformation élastique.En parallèle à la formulation de la méthode Laue-DIC (améliorée), nos efforts ont porté sur l'estimation de l'incertitude obtenue sur les déformations élastiques. Nous avons développé un modèle de bruit pour les images de Laue mesurées en rayonnement synchrotron, qui a été validé sur des séries de données, et qui nous a permis d'estimer les erreurs statistiques de la DIC, à partir d'images de Laue synthétiques. Ces erreurs ont ensuite été propagées dans la méthode Laue-DIC afin d'estimer les incertitudes sur les déformations élastiques, que l'on trouve en bon accord avec la fluctuation des contraintes locales estimées

Quasi-MSn identification of flavanone 7-glycoside isomers in Da Chengqi Tang by high performance liquid chromatography-tandem mass spectrometry

<p>Abstract</p> <p>Background</p> <p><it>Da Chengqi Tang </it>(DCT) is a common purgative formula in Chinese medicine. Flavanones are its major active compounds derived from <it>Fructus Aurantii Immaturus</it>. The present study developed an LC-MS/MS method to characterize two pairs of flavanone 7-glycoside isomers, i.e., hesperidin versus neohesperidin and naringin versus isonaringin.</p> <p>Methods</p> <p>After solid phase purification, components in sample were separated on a Agilent zorbax SB-C18 (5 μm, 250 mm × 4.6 mm) analytical column. ESI-MS and quasi-MSⁿwere performed in negative ion mode to obtain structural data of these two pairs of flavanone 7-glycoside isomers. Moreover, UV absorption was measured.</p> <p>Results</p> <p>There was no intra-pairs difference in the UV-Vis and MS/MS spectra of the two pairs of 7-glycoside isomers, whereas the mass spectrometry fragmentation pathways between pairs were different.</p> <p>Conclusion</p> <p>The present study developed a LC-MS/MS method to explore the inter- and intra-pair difference of two pairs of flavanone 7-glycoside isomers.</p

Thermo-optic coefficients of polymers for optical waveguide applications

Polymers with diverse chemical structure were evaluated to establish an empirical relationship between their thermo-optic coefficients (dn/dT) and coefficients of thermal expansion (\u3b1) according to the Lorentz\u2013Lorenz equation. The results have showed that, regardless their chemical structure and Tgs, all the evaluated polymers follow a single linear relationship between their dn/dT values and \u3b1 values with the slope (\u3b4n/\u3b4T)\u3c1 equal to 0.56 and the interception (\u3c1\u3b4n/\u3b4\u3c1)T equal to 123.7 710\u207b\u2076. The relationship can be used to estimate the dn/dT value of a given polymer using its \u3b1 value, which is widely available and can be easily measured using TMA and other conventional equipment, and the estimated dn/dT value is useful for developing polymers and evaluating device performance in optical waveguide applications.Peer reviewed: YesNRC publication: Ye

Progressive Hybrid-Modulated Network for Single Image Deraining

Rainy degeneration damages an image&rsquo;s visual effect and influences the performance of subsequent vision tasks. Various deep learning methods for single image deraining have been proposed, obtaining appropriate recovery results. Unfortunately, most existing methods ignore the interaction between rain-layer and rain-free components when extracting relevant features, leading to undesirable results. To break the above limitations, we propose a progressive hybrid-modulated network (PHMNet) for single image deraining based on the two-branch and coarse-to-fine framework. Specifically, a hybrid-modulated module (HMM) with a two-branch framework is proposed to blend and modulate the feature of rain-free layers and rain streaks. After cascading several HMMs in the coarsest reconstructed stage of the PHMNet, a multi-level refined module (MLRM) is adopted to refine the final deraining results in the refined reconstructed stage. By being trained using loss functions such as contrastive learning, the PHMNet can obtain satisfactory deraining results. Extended experiments on several datasets and downstream tasks demonstrate that our method performs favorably against state-of-the-art methods in quantitative evaluation and visual effects

Analysis of Purified Oligomeric Proanthocyanidins from Larix gmelinii Bark and the Study of Physiological Activity of the Purified Product

A simple and efficient method for the purification of oligomeric proanthocyanidins (LOPC) from degreased Larix gmelinii bark was developed. The purity of LOPC was increased from 51.7% to 92.2%, and the cumulative recovery rate was 97.0%. The reversed phase high performance liquid chromatography-mass spectrum (RHPLC-MS) analysis indicated that the percentage contents of catechin (CA), epicatechin (EC), and procyanidin B1 (PB1) in purified LOPC (P-LOPC) were 5.05%, 2.02%, and 0.71%, respectively. The percentage contents of catechin and procyanidin B1 were noticeably higher than those obtained from grape seed extract (2.77% and 0.61%). The average degree of polymerization of P-LOPC was found to be 2.66. The matrix-assisted laser desorption ionization-time of flight/mass spectrum (MALDI-TOF/MS) analysis demonstrated that the dimer was the major component of purified LOPC and the distribution range was from dimer (m/z 713) to decamer (m/z 3016.6). The IC50 values of P-LOPC against DPPH• (1,1-diphenyl-2-picryl-hydrazyl), OH• (hydroxy radical), and ABTS+ (2,2′-azino-bis(3-ethylbenzothiazoline-6-sulfonic acid diammonium salt) were 76.4±3.82, 7.92±0.40, and 2.4±0.12. Purified LOPC exhibited more excellent physiological activity than VC (vitamin C), TBHQ (tert-butyl hydroquinone), and pine bark extract

Progressive Hybrid-Modulated Network for Single Image Deraining

Rainy degeneration damages an image’s visual effect and influences the performance of subsequent vision tasks. Various deep learning methods for single image deraining have been proposed, obtaining appropriate recovery results. Unfortunately, most existing methods ignore the interaction between rain-layer and rain-free components when extracting relevant features, leading to undesirable results. To break the above limitations, we propose a progressive hybrid-modulated network (PHMNet) for single image deraining based on the two-branch and coarse-to-fine framework. Specifically, a hybrid-modulated module (HMM) with a two-branch framework is proposed to blend and modulate the feature of rain-free layers and rain streaks. After cascading several HMMs in the coarsest reconstructed stage of the PHMNet, a multi-level refined module (MLRM) is adopted to refine the final deraining results in the refined reconstructed stage. By being trained using loss functions such as contrastive learning, the PHMNet can obtain satisfactory deraining results. Extended experiments on several datasets and downstream tasks demonstrate that our method performs favorably against state-of-the-art methods in quantitative evaluation and visual effects

Five Novel Mutations in LOXHD1 Gene Were Identified to Cause Autosomal Recessive Nonsyndromic Hearing Loss in Four Chinese Families

Hearing loss is one of the most common sensory disorders in newborns and is mostly caused by genetic factors. Autosomal recessive nonsyndromic hearing loss (ARNSHL) is usually characterized as a severe-to-profound congenital sensorineural hearing loss and later can cause various degrees of defect in the language and intelligent development of newborns. The mutations in LOXHD1 gene have been shown to cause DFNB77, a type of ARNSHL. To date, there are limited reports about the association between LOXHD1 gene and ARNSHL. In this study, we reported six patients from four Chinese families suffering from severe-to-profound nonsyndromic hearing loss. We performed targeted next generation sequencing in the six affected members and identified five novel pathogenic mutations in LOXHD1 including c.277G>A (p.D93N), c.611-2A>T, c.1255+3A>G, c.2329C>T (p.Q777∗), and c.5888delG (p.G1963Afs∗136). These mutations were confirmed to be cosegregated with the hearing impairment in the families by Sanger sequencing and were inherited in an autosomal recessive pattern. All of the five mutations were absent in 200 control subjects. There were no symptoms of Fuchs corneal dystrophy in the probands and their blood-related relatives. We concluded that these five novel mutations could be involved in the underlying mechanism resulting in the hearing loss, and this discovery expands the genotypic spectrum of LOXHD1 mutations