Study on Thermal Properties and Mechanical Properties of Short-cut Polyimide-Fiber Reinforced Polyphenyl Sulfone Composites

In order to increase the thermal stability and mechanical property of PPSU, two different polyimide (PI) short cut fibers reinforced polyphenyl sulfone (PPSU) composites were prepared by melt extrusion using a threescrew extruder. In addition, the effects of fiber lengths on thermal stability, heat resistance and mechanical properties of the composites was studied. The results indicate that the addition of polyimide chopped fiber can greatly improve the heat resistance of the composites. Comparing with PPSU, with the increasing of fiber content, the heat deformation temperature (HDT) of composites increased from 205 °C to 229 °C, but the addition of polyimide fiber has limited effect on the thermal stability of the composites. Meanwhile, the addition of polyimide chopped fiber can also improve the mechanical properties of the composites. Compared with PPSU, the tensile strength of composites can be increased by 102%, and the bending strength can be raised by 117%

Automated optical inspection of FAST’s reflector surface using drones and computer vision

The Five-hundred-meter Aperture Spherical radio Telescope (FAST) is the world ’ s largest single-dish radio telescope. Its large reflecting surface achieves unprecedented sensitivity but is prone to damage, such as dents and holes, caused by naturally-occurring falling objects. Hence, the timely and accurate detection of surface defects is crucial for FAST’s stable operation. Conventional manual inspection involves human inspectors climbing up and examining the large surface visually, a time-consuming and potentially unreliable process. To accelerate the inspection process and increase its accuracy, this work makes the first step towards automating the inspection of FAST by integrating deep-learning techniques with drone technology. First, a drone flies over the surface along a predetermined route. Since surface defects significantly vary in scale and show high inter-class similarity, directly applying existing deep detectors to detect defects on the drone imagery is highly prone to missing and misidentifying defects. As a remedy, we introduce cross-fusion, a dedicated plug-in operation for deep detectors that enables the adaptive fusion of multi-level features in a point-wise selective fashion, depending on local defect patterns. Consequently, strong semantics and fine-grained details are dynamically fused at different positions to support the accurate detection of defects of various scales and types. Our AI-powered drone-based automated inspection is time-efficient, reliable, and has good accessibility, which guarantees the long-term and stable operation of FAST

Advances in gut microbiome in metabonomics perspective: based on bibliometrics methods and visualization analysis

Background and aimsGastrointestinal microbial metabolomics is closely related to the state of the organism and has significant interaction with the pathogenesis of many diseases. Based on the publications in Web of Science Core Collection(WoSCC) from 2004 to 2022, this study conducted a bibliometric analysis of this field, aiming to understand its development trend and frontier, and provide basic information and potential points for in-depth exploration of this field.MethodsAll articles on gastrointestinal flora and metabolism published from 2004 to 2022 were collected and identified in WoCSS. CiteSpace v.6.1 and VOSviewer v.1.6.15.0 were used to calculate bibliometric indicators, including number of publications and citations, study categories, countries/institutions, authors/co-cited authors, journals/co-cited journals, co-cited references, and keywords. A map was drawn to visualize the data based on the analysis results for a more intuitive view.ResultsThere were 3811 articles in WoSCC that met our criteria. Analysis results show that the number of publications and citations in this field are increasing year by year. China is the country with the highest number of publications and USA owns the highest total link strength and citations. Chinese Acad Sci rank first for the number of institutional publications and total link strength. Journal of Proteome Research has the most publications. Nicholson, Jeremy K. is one of the most important scholars in this field. The most cited reference is “Gut flora metabolism of phosphatidylcholine promotes cardiovascular disease”. Burst detection indicates that Urine, spectroscopy, metabonomic and gut microflora are long-standing hot topics in this field, while autism spectrum disorder and omics are likely to be at the forefront of research. The study of related metabolic small molecules and the application of gastrointestinal microbiome metabolomics in various diseases are currently emerging research directions and frontier in this field.ConclusionThis study is the first to make a bibliometric analysis of the studies related to gastrointestinal microbial metabolomics and reveal the development trends and current research hotspots in this field. This can contribute to the development of the field by providing relevant scholars with valuable and effective information about the current state of the field

Research progress of 3D printed poly (ether ether ketone) in the reconstruction of craniomaxillofacial bone defects

The clinical challenge of bone defects in the craniomaxillofacial region, which can lead to significant physiological dysfunction and psychological distress, persists due to the complex and unique anatomy of craniomaxillofacial bones. These critical-sized defects require the use of bone grafts or substitutes for effective reconstruction. However, current biomaterials and methods have specific limitations in meeting the clinical demands for structural reinforcement, mechanical support, exceptional biological performance, and aesthetically pleasing reconstruction of the facial structure. These drawbacks have led to a growing need for novel materials and technologies. The growing development of 3D printing can offer significant advantages to address these issues, as demonstrated by the fabrication of patient-specific bioactive constructs with controlled structural design for complex bone defects in medical applications using this technology. Poly (ether ether ketone) (PEEK), among a number of materials used, is gaining recognition as a feasible substitute for a customized structure that closely resembles natural bone. It has proven to be an excellent, conformable, and 3D-printable material with the potential to replace traditional autografts and titanium implants. However, its biological inertness poses certain limitations. Therefore, this review summarizes the distinctive features of craniomaxillofacial bones and current methods for bone reconstruction, and then focuses on the increasingly applied 3D printed PEEK constructs in this field and an update on the advanced modifications for improved mechanical properties, biological performance, and antibacterial capacity. Exploring the potential of 3D printed PEEK is expected to lead to more cost-effective, biocompatible, and personalized treatment of craniomaxillofacial bone defects in clinical applications

Target SSR-Seq: A Novel SSR Genotyping Technology Associate With Perfect SSRs in Genetic Analysis of Cucumber Varieties

Simple sequence repeats (SSR) – also known as microsatellites – have been used extensively in genetic analysis, fine mapping, quantitative trait locus (QTL) mapping, as well as marker-assisted selection (MAS) breeding and other techniques. Despite a plethora of studies reporting that perfect SSRs with stable motifs and flanking sequences are more efficient for genetic research, the lack of a high throughput technology for SSR genotyping has limited their use as genetic targets in many crops. In this study, we developed a technology called Target SSR-seq that combined the multiplexed amplification of perfect SSRs with high throughput sequencing. This method can genotype plenty of SSR loci in hundreds of samples with highly accurate results, due to the substantial coverage afforded by high throughput sequencing. We also detected 844 perfect SSRs based on 182 resequencing datasets in cucumber, of which 91 SSRs were selected for Target SSR-seq. Finally, 122 SSRs, including 31 SSRs for varieties identification, were used to genotype 382 key cucumber varieties readily available in Chinese markets using our Target SSR-seq method. Libraries of PCR products were constructed and then sequenced on the Illumina HiSeq X Ten platform. Bioinformatics analysis revealed that 111 filtered SSRs were accurately genotyped with an average coverage of 1289× at an extremely low cost; furthermore, 398 alleles were observed in 382 cucumber cultivars. Genetic analysis identified four populations: northern China type, southern China type, European type, and Xishuangbanna type. Moreover, we acquired a set of 16 core SSRs for the identification of 382 cucumber varieties, of which 42 were isolated as backbone cucumber varieties. This study demonstrated that Target SSR-seq is a novel and efficient method for genetic research

Methods in Markov Chain Monte Carlo and Spatiotemporal Data Analysis

Markov chain Monte Carlo (MCMC) methods are highly desirable when the sampling distribution is intractable. Among all MCMC methods, the fundamental one is the Metropolis-Hastings algorithm. Despite its extensive application in approximating any distribution, the Markov chain often suffers from slow mixing, which then causes insufficient estimation. We address this issue by proposing modifications to the Metropolis-Hastings algorithm that, under specified conditions, induces substantial improvements in jump distances and statistical efficiency while preserving the overall quality of convergence. This dissertation starts with an introduction of the MCMC methods and continues by proposing the Efficient Conditional Metropolis-Hastings algorithm (ECMH) and a variation of ECMH under a uniform setting (ECMHu). We further investigate their properties through a series of models, including a Bivariate normal model, a Bayesian random effects model, and a Bayesian dynamic spatiotemporal model. Simulation results are compared across all algorithms.Spatiotemporal processes are ubiquitous in the environmental and physical sciences. The complexity of these processes and a large number of observations preclude the use of traditional models such as partial differential equations, integrodifference equations, and covariance based space-time models. Alternatively, the spatiotemporal hierarchical Bayesian models are ideal in this case as it can conditionally specify the components in the model and eventually link them together through Bayes' Theorem. However, the complex and high-dimensional nature of these models prevents the direct evaluation of the posterior distribution. Instead, we can apply MCMC methods to draw samples from the posterior distribution and make Bayesian inferences. In fact, MCMC methods have revolutionized such modeling by allowing for more realistic and complicated models. As a novel application of the MCMC methods, we propose several spatiotemporal Hierarchical Bayesian models to understand the dynamic of post-fire chaparral recovery with data collected from the Angeles National Forest. This dissertation continues to investigate a particular spatiotemporal process of galaxy formation and evolution, in which the environment (cosmic web) plays a major role. However, the relation between galaxies and environment is not well understood. To this end, we propose a multi-step approach of representing galaxy formation trees as feature vectors and classifying along with galaxy properties to the environment

Single-arm phase II three-outcome designs with handling of over-running/under-running

Phase II clinical trials are commonly conducted as pilot studies to evaluate the efficacy and safety of the investigational drug in the targeted patient population with the disease or condition to be treated or prevented. When designing such a trial considering efficacy conclusions, people naturally think as follows: if efficacy evidence is very strong, a go decision should be made; if efficacy evidence is very weak, a no-go decision should be made; if the efficacy evidence is neither strong nor weak, no decision can be made (inconclusive). The designs presented in this paper match this natural thinking process with go/no-go/inconclusive outcomes. Both two-/three-stage designs are developed with three outcomes. Additionally, a general approach based on conditional error function is implemented such that new decision boundaries can be calculated to handle mid-course sample size change which results in either ‘over-running’ or ‘under-running’ and ensure the control of overall type I error. A free open-source R package tsdf that calculates the proposed two-/three-stage designs is available on CRAN

Quantitative Assessment of the Effects of Reducing Agents on Biological Macromolecules and on the Possible Repair of Oxidative Damage

Objective. To quantitatively assess the influence of reducing agents on biological macromolecules and on the possible repair of oxidative damage. Methods. Samples (antibody, enzyme, DNA, and diluted serum) were treated with reducing agents (ammonium ferrous sulfate, ascorbic acid, potassium iodide, and sodium hyposulfite) in the experimental group and with NaCl in the control group. Enzyme-linked immunosorbent assay and quantitative PCR were used to determine the activity of antibody, enzyme, and DNA. Native gel electrophoresis (Native-PAGE) and sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE) were used to determine protein structure. Reducing agents that had no inhibitory effect on biological macromolecules were selected. Antibodies were treated with oxidants to caused oxidative damage and then treated with reducing agents, and the possible repair of oxidative damage was assessed. Results. Certain concentrations of ammonium ferrous sulfate resulted in significant inhibition of antibody, enzyme, DNA, and diluted serum. Certain concentrations of ascorbic acid resulted in significant inhibition of antibody. Sodium hyposulfite and potassium iodide had no effect on antibody, enzyme, DNA, and diluted serum. The OD values in group A (in which HBsAb was treated by oxidation and then a reductant) were significantly higher than those in group B (HBsAb treated by oxidation). Conclusion. Ammonium ferrous sulfate, ascorbic acid, sodium hyposulfite, and potassium iodide had different effects on antibody, enzyme, DNA, and diluted serum. The reduction in antibody activity due to an oxidant was partially repaired by a reductant