Gelatin-based anticancer drug delivery nanosystems: A mini review

Drug delivery nanosystems (DDnS) is widely developed recently. Gelatin is a high-potential biomaterial originated from natural resources for anticancer DDnS, which can effectively improve the utilization of anticancer drugs and reduce side effects. The hydrophilic, amphoteric behavior and sol-gel transition of gelatin can be used to fulfill various requirements of anticancer DDnS. Additionally, the high number of multifunctional groups on the surface of gelatin provides the possibility of crosslinking and further modifications. In this review, we focus on the properties of gelatin and briefly elaborate the correlation between the properties and anticancer DDnS. Furthermore, we discuss the applications of gelatin-based DDnS in various cancer treatments. Overall, we have summarized the excellent properties of gelatin and correlated with DDnS to provide a manual for the design of gelatin-based materials for DDnS

using gavish-grave lp to formulate the directed black and white traveling salesman problem

The black and white traveling salesman problem (BWTSP) is a new class of NP-hard problem arising from work on airline scheduling and telecommunication fiber networks. The existing Ghiani LP for the undirected BWTSP contains an exponential number of const

Light response and adsorption interaction of black phosphorus quantum dots and single-layer graphene phototransistor

Abstract Black phosphorus quantum dots (BPQDs) are synthesized and combined with graphene sheet. The fabricated BPQDs/graphene devices are capable of detecting visible and near infrared radiation. The adsorption effect of BPQDs in graphene is clarified by the relationship of the photocurrent and the shift of the Dirac point with different substrate. The Dirac point moves toward a neutral point under illumination with both SiO2/Si and Si3N4/Si substrates, indicating an anti-doped feature of photo-excitation. To our knowledge, this provides the first observation of photoresist induced photocurrent in such systems. Without the influence of the photoresist the device can respond to infrared light up to 980 nm wavelength in vacuum in a cryostat, in which the photocurrent is positive and photoconduction effect is believed to dominate the photocurrent. Finally, the adsorption effect is modeled using a first-principle method to give a picture of charge transfer and orbital contribution in the interaction of phosphorus atoms and single-layer graphene. Graphical Abstrac

Nonlinear expression and visualization of nonmetric relationships in genetic diseases and microbiome data

Abstract Background The traditional methods of visualizing high-dimensional data objects in low-dimensional metric spaces are subject to the basic limitations of metric space. These limitations result in multidimensional scaling that fails to faithfully represent non-metric similarity data. Results Multiple maps t-SNE (mm-tSNE) has drawn much attention due to the construction of multiple mappings in low-dimensional space to visualize the non-metric pairwise similarity to eliminate the limitations of a single metric map. mm-tSNE regularization combines the intrinsic geometry between data points in a high-dimensional space. The weight of data points on each map is used as the regularization parameter of the manifold, so the weights of similar data points on the same map are also as close as possible. However, these methods use standard momentum methods to calculate parameters of gradient at each iteration, which may lead to erroneous gradient search directions so that the target loss function fails to achieve a better local minimum. In this article, we use a Nesterov momentum method to learn the target loss function and correct each gradient update by looking back at the previous gradient in the candidate search direction. By using indirect second-order information, the algorithm obtains faster convergence than the original algorithm. To further evaluate our approach from a comparative perspective, we conducted experiments on several datasets including social network data, phenotype similarity data, and microbiomic data. Conclusions The experimental results show that the proposed method achieves better results than several versions of mm-tSNE based on three evaluation indicators including the neighborhood preservation ratio (NPR), error rate and time complexity

Developments for collagen hydrolysates as a multifunctional antioxidant in biomedical domains

Abstract Antioxidant collagen hydrolysates refers to the peptides mixture with antioxidant properties identified from hydrolyzed collagen. Due to its specific structural, biological and physicochemical properties, collagen hydrolysates have been explored as a multifunctional antioxidant in the biomedical field. In this review, we summarize recent advances in antioxidant collagen hydrolysates development. Initially, the preparation process of antioxidant collagen hydrolysates is introduced, including the production and separation methods. Then the effects and the mechanisms of amino acid composition and collagen peptide structure on the antioxidant activity of collagen hydrolysates are reviewed. Finally, the applications of antioxidant collagen hydrolysates in biomedical domains are summarized, with critical discussions about the advantages, current limitations and challenges to be resolved in the future. Graphical abstrac

Conversion of Potassium Chloride into Potassium Sulfate by Four-Compartment Electrodialysis: Batch Operation Process

K₂SO₄ is a kind of potassic fertilizer, which is mainly prepared through converting KCl with dissolved sulfate or H₂SO₄. In this study, four-compartment electrodialysis was used to convert KCl with (NH₄)₂SO₄ into K₂SO₄ to overcome the shortcomings of traditional methods. The phase of product crystals was identified by XRD and the crystal composition was determined by the ion content. Economic evaluation was conducted, and the effects of operation variables on conversion performance were investigated. Results showed that as current density increases from 10 to 25 mA/cm², operation time decreases from 135 to 55 min while energy consumption increases from 0.26 to 0.50 kw·h/kg K₂SO₄. A slightly higher than theoretical molar ratio of (NH₄)₂SO₄ to KCl can ensure the complete conversion of KCl into K₂SO₄. In addition, final K₂SO₄ concentrations could be increased by reducing the initial K₂SO₄ tank volume. Finally, higher temperature is beneficial for conversion performance and subsequent evaporation crystallization

Identification of Five Interferon-Induced Cellular Proteins That Inhibit West Nile Virus and Dengue Virus Infections▿

Interferons (IFNs) are key mediators of the host innate antiviral immune response. To identify IFN-stimulated genes (ISGs) that instigate an antiviral state against two medically important flaviviruses, West Nile virus (WNV) and dengue virus (DENV), we tested 36 ISGs that are commonly induced by IFN-α for antiviral activity against the two viruses. We discovered that five ISGs efficiently suppressed WNV and/or DENV infection when they were individually expressed in HEK293 cells. Mechanistic analyses revealed that two structurally related cell plasma membrane proteins, IFITM2 and IFITM3, disrupted early steps (entry and/or uncoating) of the viral infection. In contrast, three IFN-induced cellular enzymes, viperin, ISG20, and double-stranded-RNA-activated protein kinase, inhibited steps in viral proteins and/or RNA biosynthesis. Our results thus imply that the antiviral activity of IFN-α is collectively mediated by a panel of ISGs that disrupt multiple steps of the DENV and WNV life cycles