Salient region detection using background priors

In this paper, we introduce a novel salient region detection algorithm by using background priors. Because of the fact that superpixel is perceptually more meaningful than pixel, and which can reduce the complexity of image processing, we use the superpixel algorithm to reprocess original images. In addition, we hold the point that the colors in the image boundary could mainly represent all background colors, hence we compute the color contrast between the intern colors and the boundary colors. Since the nearer the patches are close to center, the more they affect other patches, we propose a new distribution-based model. Finally, experimental results demonstrate that the proposed method outperforms the state-of-the-art approaches.     

A novel feature selection for RNA-seq analysis

RNA-seq data are challenging existing omics data analytics for its volume and complexity. Although quite a few computational models were proposed from different standing points to conduct differential expression (D.E.) analysis, almost all these methods do not provide a rigorous feature selection for high-dimensional RNA-seq count data. Instead, most or even all genes are invited into differential calls no matter they have real contributions to data variations or not. Thus, it would inevitably affect the robustness of D.E. analysis and lead to the increase of false positive ratios.In this study, we presented a novel feature selection method: nonnegative singular value approximation (NSVA) to enhance RNA-seq differential expression analysis by taking advantage of RNA-seq count data's non-negativity. As a variance-based feature selection method, it selects genes according to its contribution to the first singular value direction of input data in a data-driven approach. It demonstrates robustness to depth bias and gene length bias in feature selection in comparison with its five peer methods. Combining with state-of-the-art RNA-seq differential expression analysis, it contributes to enhancing differential expression analysis by lowering false discovery rates caused by the biases. Furthermore, we demonstrated the effectiveness of the proposed feature selection by proposing a data-driven differential expression analysis: NSVA-seq, besides conducting network marker discovery.     

TiO2/BiVO4, a Heterojuncted Microfiber with Enhanced Photocatalytic Performance for Methylene Blue under Visible Light Irradiation

Novel TiO₂/BiVO₄ microfiber heterojunctions were constructed using cotton as biomorphic templates. The as-synthesized samples were characterized by scanning electron microscope, X-ray diffraction, X-ray photoelectron spectroscopy, UV-Vis diffuse reflectance spectra and photocatalytic experiment. The morphology of the as-synthesized TiO₂/BiVO₄ composites was consisted of a large quantity of microfiber structures with diameter from 2.5 μm to 5 μm, and the surface of samples became more coarse and compact with the increase of weight ratio of TiO₂. The TiO₂/BiVO₄ samples with proper content (10.00wt%) showed the highest pho-tocatalytic degradation activity for methylene blue (MB) degradation among all the samples under visible light, and 88.58%MB could be degraded within 150 min. The enhancement of photocatalytic activity was mainly attributed to the formation of n-n heterojunction at the contact interface of TiO₂ and BiVO₄, which not only narrowed the band gap of BiVO₄ for extending the absorption range of visible light, but also promoted the transfer of charge carriers across interface. A possible photodegradation mechanism of MB in the presence of TiO₂/BiVO₄ microfibrous photocatalyst was proposed.     

Rapid separation and binding configuration prediction of the components in Danshen decoction to endothelin A receptor using affinity chromatography and molecular dynamics simulation

As a famous traditional Chinese formula, Danshen Decoction has the potential to relieve the pain of pulmonary arterial hypertension patients, however, the functional components remain unknown. Herein, we reported a method to screen the functional components in Danshen Decoction targeting endothelin receptor A, an accepted target for the treatment of the disease. The receptor was functionalized on the macroporous silica gel through an epidermal growth factor receptor fusion tag and its covalent inhibitor. Using the affinity gel as the stationary phase, the bioactive compound was identified as salvianolic acid B by mass spectrometry. The binding kinetic parameter (dissociation rate constants k_d) of salvianolic acid B with the receptor was determined via peak profiling. Using the specific ligands of the receptor as probes, the binding configuration prediction of salvianolic acid B with the receptor was performed by molecular dynamics simulation. Our results indicated that salvianolic acid B is a potential bioactive compound in Danshen Decoction targeting the receptor. This work showed that receptor chromatography in combination with molecular dynamics simulation is applicable to predicting the binding kinetics and configuration of a ligand to a receptor, providing crucial insight for the rational design of drugs that recognize functional proteins.     

脂肪胺类化合物氨基15N NMR化学位移规律的研究

提出了计算脂肪胺类化合物的¹⁵N NMR化学位移的经验公式：δ_cal（¹⁵N）=-380.2+ΣΔα+ΣΔβ+ΣΔγ+ΣΔδ+ΣC,结合最小二乘法通过线性回归得到了11种取代基参数,计算结果以133种化合物的133个¹⁵N NMR化学位移数据为样本点进行回归检验,置信度为99.5 %,约有94.7 %的¹⁵N NMR化学位移计算值的计算误差小于5.0（相对误差小于0.5 %）.     

羧酸甲乙酯中羰基17O-NMR化学位移研究

提出了计算羧酸甲乙酯中羰基¹⁷O-NMR化学位移的公式：δ_cal（¹⁷O）=360.0+Δα+Δβ+Δγ,通过线性回归法确定了22种取代基参数.经回归检验表明该公式计算结果置信度为99.5%,与实验值的偏差Δδ在5.0以内的羰基¹⁷O-NMR化学位移计算值~100%.     

N-[2,6-二氯-4-(1,2,4-噁二唑-3-基)苯基]-2-甲氧基烟酰胺的合成、晶体结构及抗肿瘤活性研究

报道一种新型1,2,4-噁二唑衍生物,N-[2,6-二氯-4-(1,2,4-噁二唑-3-基)苯基]-2-甲氧基烟酰胺（C15H10Cl2N4O3）的合成,其结构通过1H NMR、13C NMR、HRMS以及X-射线单晶衍射进行表征。该晶体结构属于三斜晶系, P 1(—) 空间群,晶胞参数 a = 7.1291 (9), b = 8.4352 (10), c = 14.0021 (18) ?, α = 73.834 (3), β = 77.407 (3), γ = 70.019 (3)°, Mr = 366.18, V = 752.97 (16) ?3, Z = 2, Dc = 1.611 g/cm3, μ(MoKα) = 0.454 mm-1, F(000) = 372.0 , 晶体尺寸为 0.36 × 0.2 × 0.1 mm,Rint = 0.023。初步活性研究发现,该化合物对LoVo, A549, SK-BR-3, HeLa这四种肿瘤细胞株具有明显的抑制作用,尤其是对HeLa细胞的抑制活性与阳性药物5-氟尿嘧啶 (5-FU)相当。     

Self-penetrating and interpenetrating 3D metal-organic frameworks constructed from 4-(4-carboxyphenoxy)-phthalic acid and <Emphasis Type="Italic">N</Emphasis>-donor auxiliary ligands

Two new interesting entangled structures, namely, [Ni_1.5(L)(bpy)₂(H₂O)₃] _n · 3nH₂O (I) and [Cd₃(L)₂(bbi)₂]n · nH₂O (II)(where H₃L is 4-(4-carboxyphenoxy)-phthalic acid, bpy is 4,4′-bipyridine, and bbi is 1,1′-(1,4-butanediyl)bis(imidazole)) have been synthesized and characterized by elemental analysis (EA), infrared spectra (IR), X-ray powder diffraction (XRPD), solid fluorescence and thermogravimetric analysis (TGA). Single-crystal X-ray diffraction analysis revealed that complex I possesses a 3D self-penetrating framework constructed from ladder-like and fishbone-like subunits. Complex II shows a 3D framework of two-fold interpenetration assembled from trinuclear Cd(II) clusters bridged by bbi and L^3? ligands.     

铜在空气中生成碱式碳酸铜的热力学分析

从热力学角度研究了酸度、湿度、水的存在状态不同时,单质铜在空气中生成碱式碳酸铜的电动势及其自由能变。通过计算发现:在酸性条件下,p H的大小对于反应的自发性没有影响;大气中二氧化碳溶解达到饱和时,空气湿度增加,反应的自发性略微增加;相同条件下,水由气态变为液态时,反应的自发性增幅较大。     

铝基火花源发射光谱仪测定MB1镁合金中锰含量

建立了用铝基体火花源原子发射光谱仪现有通道硬件测定镁合金(MB1)中锰元素含量的方法.方法线性相关系数为0.967 6,RSD为1.66%.对8个未知样品进行了测试,结果与化学分析方法所得结果一致.