25 research outputs found

    Signature functions of knots

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    The signature function of a knot is an integer-valued step function on the unit circle in the complex plane. Necessary and sufficient conditions for a function to be the signature function of a knot are presented.Comment: 4 page

    A<sup>I</sup>B<sub>3</sub><sup>II</sup>C<sub>3</sub><sup>III</sup>Q<sub>8</sub><sup>VI</sup>: A New Family for the Design of Infrared Nonlinear Optical Materials by Coupling Octahedra and Tetrahedra Units

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    Large second-harmonic generation (SHG) response and broad band gap are two important and competitive parameters. It is difficult to balance them out in one material. In this work, by coupling alkali earth metal (AEM) octahedra with large highest occupied molecular orbital (HOMO)–lowest unoccupied molecular orbital (LUMO) gap and nonlinear optical (NLO)-active tetrahedra units, nine noncentrosymmetric (NCS) compounds, belonging to a new quaternary chalcogenide family AIB3IIC3IIIQ8VI with unique windmill-like [Mg3M3IIIQ24] (MIII = Al, Ga; Q = S, Se) units constructed by alternated [MgQ6] octahedra and [MIIIQ4] tetrahedra, are rationally designed and fabricated. The compounds show a stable structural framework but adjustable optical properties. Among them, NaMg3Ga3Se8 shows a large SHG response (∼1 × AgGaS2 (AGS)), wide band gap (in selenide) (2.77 eV), high laser-induced damage threshold (LIDT) (∼2.3 × AGS), and suitable birefringence (0.079@546 nm). It should be a potential candidate for infrared (IR) nonlinear optical (NLO) materials. The results enrich the chemical diversity of chalcogenides and open an avenue for the development of new IR NLO materials through the octahedra and tetrahedra coupled strategy

    DataSheet1_Improving the prediction for the response to radiotherapy of clinical tumor samples by using combinatorial model of MicroRNA expression.docx

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    Purpose: Radiation therapy (RT) is one of the main treatments for cancer. The response to radiotherapy varies widely between individuals and some patients have poor response to RT treatment due to tumor radioresistance. Stratifying patients according to molecular signatures of individual tumor characteristics can improve clinical treatment. In here, we aimed to use clinical and genomic databases to develop miRNA signatures that can predict response to radiotherapy in various cancer types.Methods: We analyzed the miRNAs profiles using tumor samples treated with RT across eight types of human cancers from TCGA database. These samples were divided into response group (S, n = 224) and progressive disease group (R, n = 134) based on RT response of tumors. To enhance the discrimination for S and R samples, the predictive models based on binary logistic regression were developed to identify the best combinations of multiple miRNAs.Results: The miRNAs differentially expressed between the groups S and R in each caner type were identified. Total 47 miRNAs were identified in eight cancer types (p values Conclusion: These mRNA signatures could be used as potential biomarkers selecting patients who will benefit from radiotherapy. Our study identified a series of miRNA that were differentially expressed between RT good responders and poor responders, providing useful clues for further functional assays to demonstrate a possible regulatory role in radioresistance.</p

    Novel Technology for the Removal of Fe and Al from Spent Li-Ion Battery Leaching Solutions by a Precipitation–Complexation Process

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    The conventional neutralization method for removing impurities Fe(III) and Al(III) from spent Li-ion battery (LIB) leaching solutions has encountered problems of low impurity removal efficiency or high loss of valuable metals. In this study, highly selective and effective separation of Fe(III) and Al(III) from spent LIB leaching solutions was achieved by the precipitation–complexation technology. It was found that almost all Fe(III) together with most of the Al(III) could be removed by preferential precipitation using NaHCO3 neutralization under an equilibrium pH of 3.3 at 95 °C. Phytic acid, as a selectively complexing agent, was then introduced to completely remove the residual Al(III) from Fe-removed solutions with an Al/PA molar ratio of 3:1 at 60 °C. As a result, more than 99.5% Fe(III) and 97.08% Al(III) could be removed from the actual solutions, with a total loss of Ni, Co, Mn, and Li of only 1.1%. Furthermore, the obtained Al-phytates could be decomposed to form Al(PO3)3 products at 1000 °C. The whole process not only realized the efficient removal of Al(III) and Fe(III) at low pH with minimal loss of Ni, Co, Mn, and Li but also reduced the emission of wastes and utilized the Al resources

    Predicted transmembrane domains for <i>N</i>. <i>benthamiana</i> LPCAT sequences.

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    <p>The TMHMM web tools of the Center for Biological Sequence Analysis, Technical University of Denmark TMHMM Server plot the probability of the ALDH sequence forming a membrane-spanning helix (0–1.0 on the y-axis). The transmembrane regions are shown in red, whereas regions of those sequences predicted to be located inside or outside the membrane are shown in blue and pink, respectively.</p

    Sequence alignment of NbLPCATs with the related LPCATs from higher plants.

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    <p>The amino acid sequences of NbLPCATs were aligned, using the software Clustal X v1.83 with those of characterized LPCATs from <i>B</i>. <i>napus</i> and <i>A</i>. <i>thaliana</i>. The Jalview v2.8.2 program was used to highlight the homology between LPCAT protein sequences. Conserved motifs and the putative ER signal are boxed. Invariant residues are marked with black triangle stars.</p

    Tissue-specific expression patterns of <i>NbLPCAT</i> genes in different tissues of 13-week-old (A, B), 16-week-old (C, D), and 19-week-old (E, F), tissue-cultivated <i>N</i>. <i>benthamiana</i>.

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    <p>The expression levels of <i>NbLPCAT</i>s were analyzed by the real-time quantitative RT-PCR method. X-axis indicates different tissues and y-axis indicates relative expression levels. Gene encoding elongation factor 1α signal was used as the reference gene. Error bars represent standard deviations of mean value from three technical replicates. W, week.</p

    Distribution of exogenously supplemented ALA (A) or LA (B) in phospholipids from cultures of yeast mutant Y02431 (<i>lca1</i>â–³) expressing NbLPCAT or harbouring the pESC-Ura empty vector.

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    <p>Cultures were supplemented with 500 μM PUFA in the presence of 1% (w/v) Tween 40. The value was expressed as the amount of PUFA (mg, isolated from PC, PE, or PI) per g dry cell weight (mg/g). The data represent the mean±S.E. of three measurements. ALA, α-linolenic acid (18:3n3); LA, linoleic acid (18:2n6); PUFA, polyunsaturated fatty acid.</p
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