Advances in Application of Nanomaterials in Life Science

Nanomaterials had attracted much attention since their discovery with their unique structure, peculiar physical,chemical, mechanical properties and potential application prospects. In the past few years, the theoretical andexperimental research on biological nanomaterials has become the focus of attention, especially the biochemistry,biophysics, biomechanics, thermodynamics and electromagnetism of nucleic acid and protein, while its intelligentcomposites have become the forefront of life science and materials science. At present, nano-bio-chip materials,biomimetic materials, nano-motors, nanocomposites, interface biomaterials, nano-sensors and drug delivery systemshave made great progress. In this paper, the characteristics of these materials, research and development of theapplication were reviewed, a brief overview of the nano-materials in the life sciences of the main applications, and toexplore the development prospects of biological nano-materials

Ground beetle assemblages in Beijing’s new mountain forests

Mature forests have been almost completely destroyed in China’s northern regions, but this has been followed by large-scale reforestation in the wake of environmental degradation. Although future forest plantations are expected to expand over millions of hectares, knowledge about the ecology and biodiversity of China’s replanted forests remains very limited. Addressing these knowledge gaps, we recorded ground beetle (Coleoptera: Carabidae) communities in five secondary forest types: plantations of Chinese Pine (Pinus tabulaeformis) and Prince Rupprecht’s Larch (Larix principis-rupprechtii), Oak (Quercus wutaishanica) and Asian White Birch (Betula platyphylla) woodlands, and naturally regenerated mixed forest. Species richness peaked in mixed forests, while pine and oak woodlands harboured discrete communities of intermediate species richness. Oak, pine and mixed forest habitats also showed high levels of species turnover between plots. Canopy closure was an important factor influencing ground beetle assemblages and diversity, and a number of forest specialist species only occurred in pine or oak forests. We believe that some forest specialists have survived earlier deforestation and appear to be supported by new plantation forests, but maintenance of secondary native oak and mixed forests is crucial to safeguard the overall species pool

The Optimization of Ti Gradient Porous Structure Involves the Finite Element Simulation Analysis

Titanium (Ti) and its alloys are attracting special attention in the field of dentistry and orthopedic bioengineering because of their mechanical adaptability and biological compatibility with the natural bone. The dental implant is subjected to masticatory forces in the oral environment and transfers these forces to the surrounding bone tissue. Therefore, by simulating the mechanical behavior of implants and surrounding bone tissue we can assess the effects of implants on bone growth quite accurately. In this study, dental implants with different gradient pore structures that consisted of simple cubic (structure a), body centered cubic (structure b) and side centered cubic (structure c) were designed, respectively. The strength of the designed gradient porous implant in the oral environment was simulated by three-dimensional finite element simulation technique to assess the mechanical adaptation by the stress-strain distribution within the surrounding bone tissue and by examining the fretting of the implant-bone interface. The results show that the maximum equivalent stress and strain in the surrounding bone tissue increase with the increase of porosity. The stress distribution of the gradient implant with a smaller difference between outer and inner pore structure is more uniform. So, a-b type porous implant exhibited less stress concentration. For a-b structure, when the porosity is between 40 and 47%, the stress and strain of bone tissue are in the range of normal growth. When subject to lingual and buccal stresses, an implant with higher porosity can achieve more uniform stress distribution in the surrounding cancellous bone than that of low porosity implant. Based on the simulated results, to achieve an improved mechanical fixation of the implant, the optimum gradient porous structure parameters should be: average porosity 46% with an inner porosity of 13% (b structure) and outer porosity of 59% (a structure), and outer pore sized 500 μm. With this optimized structure, the bone can achieve optimal ingrowth into the gradient porous structure, thus provide stable mechanical fixation of the implant. The maximum equivalent stress achieved 99 MPa, which is far below the simulation yield strength of 299 MPa

The diploid genome sequence of an Asian individual

Here we present the first diploid genome sequence of an Asian individual. The genome was sequenced to 36-fold average coverage using massively parallel sequencing technology. We aligned the short reads onto the NCBI human reference genome to 99.97% coverage, and guided by the reference genome, we used uniquely mapped reads to assemble a high-quality consensus sequence for 92% of the Asian individual's genome. We identified approximately 3 million single-nucleotide polymorphisms (SNPs) inside this region, of which 13.6% were not in the dbSNP database. Genotyping analysis showed that SNP identification had high accuracy and consistency, indicating the high sequence quality of this assembly. We also carried out heterozygote phasing and haplotype prediction against HapMap CHB and JPT haplotypes (Chinese and Japanese, respectively), sequence comparison with the two available individual genomes (J. D. Watson and J. C. Venter), and structural variation identification. These variations were considered for their potential biological impact. Our sequence data and analyses demonstrate the potential usefulness of next-generation sequencing technologies for personal genomics

Artistic Style Conversion Based on 5G Virtual Reality and Virtual Reality Visual Space

With the rapid development of digital information technology, virtual reality (VR) and VR visual space technology have become important branches in the field of computer 5G. Their application research has attracted more and more attention, and their practical value and application prospects are also very broad. This paper mainly studies the artistic style conversion based on 5G VR and VR visual space. This paper starts from the two concepts of VR technology and VR vision, analyzes the development process and characteristics of the two, discusses the possibility and inevitability of the fusion of the two, and leads to the space art produced by the fusion of VR technology and VR vision. This kind of art space gives people an “immersive” experience. This paper analyzes multiple immersive experience works, analyzes its multi-sensory and multi-technical spatial art style transformation form, and summarizes the advantages and disadvantages of the current art style transformation form based on 5G VR and VR visual space, with a view to the future development of VR immersion for reference. This paper analyzes the ease-of-use indicators. The experimental results show that, except for the sensory experience indicators, the average values of other indicators are less than 1. This is a project with better ease of use, and the use of 5G VR and VR vision technology can improve the transformation of space art style

Phytic acid modified NH2-MIL-101 via Mannich reaction for highly efficient uranium (Ⅵ) extraction from seawater

An essential part of achieving sustainable uranium resource development was the search for a suitable adsorbent capable of efficiently capturing uranium (Ⅵ) from seawater. Here, a modified metal-organic framework (PA-MIL-101) was prepared by phosphorylation of NH2-MIL-101 with phytic acid (PA). PA-MIL-101 exhibited a specific surface area of 252 m2∙g−1 and proved exceptionally adept at extracting uranium (Ⅵ) from seawater. Batch experiments were conducted to examine how environmental conditions such as pH and natural seawater affect the uranium adsorption performance of the materials. The adsorption capacity of PA-MIL-101 exhibited a remarkable performance, showcasing a substantial 41.8% increase compared to NH2-MIL-101 (the adsorption capacity increased to 416.7 mg∙g−1 at pH = 7 in 100 mg∙L−1 U(Ⅵ) solution). Due to the fast adsorption kinetics, PA-MIL-101 achieves a saturation level of 72.1% within the first 5 min. The removal rate was further elevated to 88.48% in the more intricate natural seawater. The reusability of PA-MIL-101 was demonstrated through five recycling cycles. The porous material PA-MIL-101 has abundant P=O and P–OH active sites, which can strongly complex with uranium (Ⅵ). This feature makes PA-MIL-101 perform effective in natural seawater. Therefore, PA-MIL-101 is considered as a promising supersorbent for efficient removal of uranium (Ⅵ)

The flow chart of this study.

Ewing’s sarcoma (ES) is the second most common bone and soft tissue malignancy in children and adolescents with a poor prognosis. The identification of genes with prognostic value may contribute to the prediction and treatment of this disease. The GSE17679, GSE68776, GSE63155, and GSE63156 datasets were downloaded from the Gene Expression Omnibus database and qualified. Prognostic value of differentially expressed genes (DEGs) between the normal and tumor groups and immune cell infiltration were explored by several algorithms. A prognostic model was established and validated. Finally, functional analyses of the DEGs were performed. Proline rich 11 (PRR11) and mast cell infiltration were noted as the key indicators for the prognosis of ES. Kaplan–Meier and scatter plots for the training and two validation sets showed that patients in the low-PRR11 expression group were associated with better outcomes than those in the high-PRR11 expression group. The concordance indices and calibration analyses of the prognostic model indicated good predictive accuracy in the training and validation sets. The area under the curve values obtained through the receiver operating characteristic analysis for 1-, 3-, 5-year prediction were ≥ 0.75 in the three cohorts, suggesting satisfactory sensitivity and specificity of the model. Decision curve analyses suggested that patients could benefit more from the model than the other strategies. Functional analyses suggested that DEGs were mainly clustered in the cell cycle pathway. PRR11 and mast cell infiltration are potential prognostic indicators in ES. PRR11 possibly affects the prognosis of patients with ES through the cell cycle pathway.</div

Clinicopathological characteristics in the training and validation sets.

Clinicopathological characteristics in the training and validation sets.</p

Quality control of the datasets.

(A) Gene expression profile of the ES samples in GSE17679 by boxplot. (B) Gene expression profile of the ES samples in GSE17679 by density plot. (C) Gene expression profile of the samples in GSE68776 by the boxplot. (D) Gene expression profile of the samples in GSE68776 by density plot. (E) Gene expression profile of the samples in GSE63155 by boxplot. (F) Gene expression profile of the samples in GSE63155 by density plot. (G) Gene expression profile of the samples in GSE63156 by boxplot. (H) Gene expression profile of the samples in GSE63156 by density plot. ES, Ewing sarcoma.</p