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In the nucleus, chromatin is folded into hierarchical architecture that is tightly linked to various nuclear functions. However, the underlying molecular mechanisms that confer these architectures remain incompletely understood. Here, we investigated the functional roles of H3 lysine 9 dimethylation (H3K9me2), one of the abundant histone modifications, in three-dimensional (3D) genome organization. Unlike mouse embryonic stem cells (mESCs), inhibition of methyltransferases G9a and GLP in differentiated cells eliminated H3K9me2 predominantly at A-type (active) genomic compartments, and the level of residual H3K9me2 modification was strongly associated with genomic compartments in differentiated cells. Furthermore, chemical inhibition of G9a/GLP in mouse hepatocytes led to the decreased chromatin-nuclear lamina interactions mainly at G9a/GLP sensitive regions (GSRs), the increased degree of genomic compartmentalization, and the up-regulation of hundreds of genes that were associated with alterations of the 3D chromatin. Collectively, our data demonstrated essential roles of H3K9me2 in 3D genome organization.

The oscillatory flow and the heat transfer in two-dimensional pulsating heat pipes (PHPs) with multi-turns were simulated using OpenFOAM. The volume of fluid method was used for the phase c...

The recall of defective automobile products is one of the important measures to promote the quality of product quality and protect consumers' pyhsical safety and property security. In order to assess the risk level of defect cases, automobile recall management experts need to analyze and discuss the defect information by personal. A risk level prediction method based on language pre-training Bert model is proposed in this paper, which can transform the defect information into rick level of the vehicle and then predict vehicle recall automatically, in which a seq2seq model is proposed to multi-label the vehicle complaint data. The outputs of the seq2seq model combined with other static and dynamic information are used as the input of the Bert communication model. Substantial comparative experiments of different feature combinations on different methods show that the proposed VDRF method achieves F1 value with 79% in vehicle recall risk prediction, which outperforms the traditional method.

To further clarify the characteristics of plasma cladding on copper surface, the effect mechanism of preheating temperature on the interfacial connection of Ni-based coatings was investigated. Results showed that metallurgical bonding can be achieved between coating and copper substrate only when the preheating temperature reached at least 500��C. Without preheating, the heat of the plasma arc was conducted away by the copper with high thermal conductivity, making it difficult to form a molten pool. At low temperatures (300��C and 400��C), the copper oxides formed on copper surface during preheating had poor wettability with the liquid Ni-based alloy, resulting in unreliable interfacial connection. Properly increasing (above 500��C) the preheating temperature can promote the removal of copper oxides, thereby improving the interfacial wettability. Moreover, to avoid performance degradation caused by excessive dilution ratio, controlling the preheating temperature at about 600��C is more appropriate.

A quadriwave lateral shearing interferometry (QWLSI) is proposed based on double birefringent crystals of a beam displacer (DBCs-BD). The DBCs-BD is formed by adopting two birefringent crystals of a polarization beam displacer (PBD), which can generate the lateral shearing interference waves of four beams of overlapped replicas in the DBCs-BD orthogonal directions. When the replica waves are overlapped incident to the analyzer, and the direction of the transmission axis is set as 45° or 135°, the QWLSI’s polarization interferogram can be obtained. The high-precision phase can be obtained by simple spectrum denoising and performing the Fourier transform of the resulting interferogram. We deduce the principle of QWLSI in detail, and the wavefront distribution can be achieved by the phase calculation. The experiment shows that the DBCs-BD-QWLSI exhibits feasibility and high precision.

Three-dimensional flow in a vortex tube with straight nozzle was investigated numerically. Four different turbulence models, Spalart-Allmaras, standard k−e, SST k−ω and realizable k−e were proposed...

Understanding heat and mass transfer between LiBr aqueous solution and vapor is a crucial issue in absorption refrigeration and air dehumidification for the purpose of intensifying transfer and conversion. This is difficult to be realized by macro experiments due to failing to catch detailed information of water molecules. Molecular dynamics has been resorted to for exploring mechanisms of chemical processes but the used force field dominates the simulation accuracy. In order to discover suitable force fields to describe interactions in LiBr solution, three recent models developed based on infinite dilution were evaluated in terms of static and transport properties. Results show that all models could predict the density with high accuracy. The model of Koneshan et al. achieves most properties with satisfactory accuracy and is the best one to simulate the surface tension, which indicates good interfacial performance. Further, by selecting the model of Koneshan et al., the energy and mass transport phenomenon through liquid–vapor interface was simulated and analyzed. Four behaviors of water molecules including absorption, release, replacement and reflection were observed near the interface of LiBr solution. It is found that the replacement behavior only occurs under high liquid temperature conditions and the reflection behavior is characterized by a steep energy ravine. This research provides data reference for the force field selection, setting a solid foundation for studying heat and mass transfer between LiBr solution and vapor by molecular dynamics. This research could also disclose the molecular behaviors between aqueous solution and air.

Surgeons face challenges in intraoperatively defining margin of brain tumors due to its infiltrative nature. Extracellular acidosis caused by metabolic reprogramming of cancer cells is a reliable marker for tumor infiltrative regions. Although the acidic margin-guided surgery shows promise in improving surgical prognosis, its clinical transition is delayed by having the exogenous probes approved by the drug supervision authority. Here, an intelligent surface-enhanced Raman scattering (SERS) navigation system delineating glioma acidic margins without administration of exogenous probes is reported. With assistance of this system, the metabolites at the tumor cutting edges can be nondestructively transferred within a water droplet to a SERS chip with pH sensitivity. Homemade deep learning model automatically processes the Raman spectra collected from the SERS chip and delineates the pH map of tumor resection bed with increased speed. Acidity correlated cancer cell density and proliferation level are demonstrated in tumor cutting edges of animal models and excised tissues from glioma patients. The overall survival of animal models post the SERS system guided surgery is significantly increased in comparison to the conventional strategy used in clinical practice. This SERS system holds the promise in accelerating clinical transition of acidic margin-guided surgery for solid tumors with infiltrative nature.

Diabetes has been associated with postoperative complications, such as increased risk of tissue infection and impaired tissue repair caused by destabilization of hypoxia-inducible factor-1α (HIF-1α). Consequently, it is imperative to fabricate anti-bacterial and pro-regenerative small-diameter vascular grafts for treating cardiovascular disease in diabetic patients. Herein, we developed electrospun cobalt ion (Co

The industry–education integration platform itself is an ecosystem composed of multiple subjects, and its effective governance cannot be separated from contract management. Platform operation requires efforts to overcome institutional transaction costs and clarify the distribution of benefits among cooperative subjects. Each cooperative subject displays cooperative behavior with consistent organizational goals, which contributes to effective platform regulation reaching a steady state. Therefore, the industry–education integration platform ecosystem involves key elements such as contracts, transaction costs, property rights definition, cooperative behavior, and stability within the ecosystem. Thus, this paper takes the context of the integration of industry and education in China and innovatively proposes an evaluation index system for the governance of the ecosystem of the industry–education integration platform. Then, this paper takes the 14 industry–education integration platforms in China as an example. The grey correlation method was applied to the obtained sample data, which overcame the deficiency of sample evaluation with little data and poor information. Subjective and objective index weight assignment methods are used to improve the scientific and rational nature of the model evaluation. Finally, to improve the governance level of the ecosystem of the industry–education integration platform, new references are provided in four aspects: establishing a flawless mechanism of the platform contract, protecting the rights and interests of platform-related subjects, improving the protection and development mechanism of resources, and exploring the outsourcing of educational services.

We aimed to investigate the composition and functions discrepancy of supragingival plaque associated with active deciduous teeth caries in mixed dentitions.Thirty-three subjects with mixed dentition participated in this study. Children with deciduous teeth caries (dt ≥ 3) were recruited to the caries group, whereas children without deciduous teeth caries (dt = 0) were recruited to the caries-free group. Plaque were collected from deciduous teeth surface and permanent teeth surface respectively. A total of 66 samples of dental plaque were collected and conserved. Illumina 16S rRNA sequencing and diversity analysis were performed for microbiome. Untargeted liquid chromatograph-mass (LC-MS) and partial least squares discriminant analysis were performed for metabolome.A dominant microbiome of 8 phyla and 22 genera were detected. The alpha diversity indices did not detect differences between the caries and caries-free groups (p 0.05). Beta diversity analysis showed that the microbiota composition was similar between subgroups. Comparative analysis at genus level did not detect difference between caries and caries-free subgroups. The metabolomics analysis yielded 419 biochemical metabolites, 56 of which were related to caries status. Metabolites in glucose metabolism and byproducts of oxidative stress were identified as related to dental caries in mixed dentition. Dominant bacteria are positively correlated with metabolites, such as Streptococcus and organic acids.The upgrade of glucose metabolism and oxidative stress was observed in caries status. Functions discrepancy of oral microbiome may be more pronounced than the composition of oral microbiome with active dental caries in mixed dentitions.

A novel general approach is proposed for solving three-dimensional transient nonlinear inverse heat conduction problems in irregular complex structures. The complex-variable-differentiation method (CVDM) is introduced into the commercial finite element method (FEM) software ABAQUS, for solving three-dimensional inverse heat conduction problems for the first time. First, the complex variable finite elements are set up, and the complex variable FEM is innovatively developed through the user element subroutine (UEL) in ABAQUS. Then, the key parameters in the Levenberg-Marquardt algorithm for solving inverse problems – sensitivity matrix coefficients – are accurately evaluated by utilizing the CVDM and ABAQUS standard solvers with the UEL. Finally, several numerical tests are carried out to verify the performances of the new approach for solving the three-dimensional transient nonlinear inverse heat conduction problem in an irregular complex structure.

A small-scaled organic Rankine cycle (ORC) system using R123 as working fluid was experimentally investigated. For ORC and regenerative organic Rankine cycle (RORC), the impacts of the evaporating and condensing temperatures on the performances of main components (i.e., the expander, the pump, and heat exchangers) and the system were tested. The comparison between these two systems under identical working conditions was also carried out. The results showed that the expander shaft power of ORC is greater than that of RORC under the identical evaporating temperature and condensing temperature. When the evaporating temperature is relatively low, the expander shaft power is more sensitive to the condensing temperature, and the thermal efficiency of ORC is higher than that of RORC. With the increasing of the evaporating temperature, the thermal efficiency of RORC exceeded that of ORC. Therefore, ORC is recommended for the low temperature heat source, while for the high temperature heat source, RORC is recommended for its higher thermal efficiency.

The response of two-dimensional frictionless granular material to isotropic cyclic compression is simulated using an improved version of the Smoothed Particle Hydrodynamics (SPH) method, which includes realistic constitutive model for deformation of individual grains. The study reveals the evolution of mean coordination number and global pressure over cycles. The probability distribution function (PDF) of contact forces for different compression cycles is also reported. The global pressure at maximum compression shows downward trend for packing fractions below a certain value. The structural rearrangement that can give rise to such stress relaxation is studied by mapping relative particle mobilities and quantifying dynamic heterogeneity using a four-point susceptibility measure. The four-point susceptibility measure reveals length and time scales that can characterize the dynamics of driven system. Meso-scale structural rearrangement is studied using Falk-Langer measure of affine and non-affine deformation. The affine and non-affine deformations drop to a stable value and oscillates around it, which suggest that the structure is driving towards a more stable configuration. A negative correlation is found between the local packing fraction and the non-affine squared displacement. Finally, a complex network analysis is employed to better understand the structural rearrangement at meso-scale. The average degree and average clustering coefficient obtained from the complex network analysis show peaks at maximum compressions, but the peak values increase with cycles. The degree per particle is found to be positively correlated with local packing fraction and negatively correlated with the non-affine squared deformation. An enrichment of three-cycle population is seen, suggesting it as the most preferred conformation for particles at the meso-scale.

Evaluation of lattice parameters for convection heat transfer in porous media with internal heat generation from physical and macroscale properties was described. A hierarchical process was...

Membrane electrode assemblies, as the core component, mainly determine the overall performance of fuel cells. As a part of it, the anode electrode is vitally important for the mass transportation and electrochemical reaction. To gain a high cell performance, the structures of the anode electrode are designed by optimizing the component parameters of the micro-porous and catalyst layers. The effect of polytetrafluoroethylene (PTFE) content in anode micro-porous layer and catalyst loading in catalyst layer on electrode resistance and electrochemical performance are investigated. The current collection effect affected by the carbon loading of micro-porous layer is analyzed, and the influence of catalyst binder on the fuel electrolyte transportation performance has been explained from the aspects of microscopic morphology. The experimental results show that the resistance of anode micro-porous layer can be decreased significantly by loading carbon black powder and PTFE with optimal contents on the micro-porous layer. As compared with the I2 anion-ionomer, the fuel electrolyte transportation can be facilitated by applying PTFE-bonded anode catalyst layer due to the richer micro-pores and larger specific surface area. In addition, there is an optimal anode catalyst loading of 1.7 mgPd·cm−2 to achieve the highest peak power density of 11.5 mW cm−2 at 60 °C.

A massive amount of heat is generated during the high-efficiency grinding process, which leads to a serious burnout problem that limits the increase of the material removal rate. The oscillating heat pipe (OHP) can augment the heat transfer in the grinding zone to avoid the burnout. An oscillating heat pipe grinding wheel that is a combination of a grinding wheel and OHPs was proposed in this paper. Aimed to determine geometric dimensions and operating parameters of the OHP, experimental investigations were carried out to study effects of working fluid, inner diameter, and heat flux on the heat transport capability of OHPs. The dynamics of flow change and coupled effects of geometric dimensions and thermophysical properties of working fluids were further analyzed by visualization. The OHP filled with acetone shows an advantage in heat transfer. Within the critical diameter range, a large inner diameter is better for the thermal performance. As heat flux increases, changes of flow pattern and motion modes from bubbly flow to annular flow and from oscillation to circulation enhance the thermal performance. The inner diameter of 3 mm and acetone as the working fluid are preferred for better cooling effects.

It is attractive to design and develop a low-cost and environment friendly material preparation route for the catalysts used in alkaline hydrogen evolution reaction. Mineral reconstruction in chlorination roasting and electrodeposition in deep eutectic solvent have been combined in this work. The electrodeposition of Ni Mo Cu coatings from roasted nickel matte precursor in choline chloride (ChCl)-urea deep eutectic solvent (DES) has been investigated. Cyclic voltammetry (CV) implies that the electrodeposition process of Ni Mo Cu coatings in ChCl-urea DES consists of a one-step reaction of Ni(II), a two-step reaction of Cu(II) and Ni/Mo inductive co-deposition. The hydrogen evolution performance parameters of deposited Ni Mo Cu coatings have been systematically studied in alkaline solution by linear sweep voltammetry (LSV), and the electrochemical surface area (ECSA) has been tested by CV. The hydrogen evolution kinetics of deposited Ni Mo Cu coatings has been further investigated by electrochemical impedance spectroscopy (EIS). Owing to its high electrochemical surface area, the Ni Mo Cu coating deposited on Ni foam at −1.2 V can deliver a current density of 10 mA cm−2 at an overpotential of 93 mV in 1 M KOH. It is suggested that Ni Mo Cu coating can be a promising candidate for water splitting in alkaline solution.

A thermal model, which involves heat transfer in substrate and gases, mass transfer in gases, and chemical reaction on the top surface of the substrate, is set up to simulate the Laser Chemical Vap...

This study investigates the effect of joint structure and temperature dependent mechanical properties on the residual stress states in ceramic/metal brazing joints. A closed-one-end BaCo0.7Fe0.2Nb0.1O3 (BCFN) membrane tube is joined to 310S by using silver filler. Finite element simulation of different BCFN/310S joint assemblies is conducted to evaluate the stresses and deformations of the components at an isothermal state. The results indicate that the outer sleeve structure with low residual stress and good air tightness is more suitable for joining ceramics to metal supports than other joint structures in four joint assemblies. And thermal cycling experiments also verify the functional reliability of the outer sleeve joint assembly. Besides, nonlinear material properties of BCFN can not only cause the sudden change in ceramic stress at 300 °C, but also be the important basis for the stress contrast of different joint structures.

A new compact scheme based on the SIMPLER algorithm is developed for solving steady flow problems on three different coordinate systems. The compact corrective source term based on a compact and up...

Carbon allotropes play an important role in the thermal transmission field, while there are huge thermal differences in their thermal conductivities. In this work, thermal transmission in three novel carbon allotropes with sp2 and sp3 hybridization has been studied, including T6-carbon, T10 and 3D-C5 by using non-equilibrium molecular dynamic simulations and phonon kinetic theory. Graphene and diamond with standard sp2 and sp3 hybridization, respectively, are also examined for comparison. Our results indicate that the thermal conductivities of T6-carbon, T10 and 3D-C5 at room temperature are much lower than those of diamond and graphene. Phonon kinetic theory analysis shows that the lower thermal conductivity of T6-carbon, T10 and 3D-C5 is caused by the combined action of their reduced phonon group velocities and relaxation time. Moreover, the bond difference parameter has been proposed to describe the relationship between bond structures and thermal conductivity in carbon allotropes, which presents a new and convenient method for in-depth understanding the thermal conductivity of carbon allotropes.

Molecular dynamics simulations were carried out to investigate the cryoprotective mechanism of using Ficoll, a highly compact spherical polysucrose, as a non-permeating cryoprotectant for practices of cell cryopreservation at temperatures higher than −80 °C. Three types of simulation boxes were prepared for Ficoll-dimethyl sulfoxide (DMSO)-water, sucrose-DMSO-water, and DMSO-water systems, respectively, and depicted with the Optimized Potentials for Liquid Simulations (OPLS-all) as potential function for molecular systems. The entire molecular system for each scenario was firstly fully equilibrated into a state with known concentration, density and temperature, in agreement with the corresponding existing or newly measured phase-diagrams. Thereafter, molecular dynamics simulations were performed to characterize the behavior of liquid water molecules surrounding a pre-sited ice nucleus that was placed at the center of each molecular system by calculating the radial density distribution (RDF) and root-mean-square distance (RMSD) of atomic positions. The results showed that the system with Ficoll molecules present behaved significantly different from the other two systems at various non-cryogenic temperatures (−10 °C, −20.3 °C, −33.9 °C, and −80 °C). The Ficoll molecules obviously prevent the water molecules from approaching the ice nuclei, and simultaneously lower the activities of the water molecules. These results agree well with previous thermal studies that demonstrate the effect of using Ficoll to minimize recrystallization of such solutions, and also provide a qualitative explanation on a molecular level for why Ficoll facilitates long-term storage of cells at non-cryogenic temperatures.

The phase stability of the cubic perovskite-type oxide BaCo0.7Fe0.2Nb0.1O3−δ (BCFNO) has been examined by means of X-Ray Diffraction (XRD), Scanning Electron Microscopy (SEM) and Transmission Electron Microscopy (TEM). And, the timescale on the second phases has been established by using the TOPAS 4.2. Compared with Ba0.5Sr0.5Co0.8Fe0.2O3−δ (BSCFO), for samples annealed at T = 1023 K for t = 64 d, the rhombohedral and hexagonal phases formed on the surface of cubic perovskite BCFNO surface simultaneously and the amount of them is smaller. As for the rhombohedral phase, it comes out firstly along the grain boundary, and whose amount in equilibrium is about 5％. In contrast to the rhombohedral phase, the hexagonal phase is more likely to form at lower temperature which lead to the microcracks. In brief, obtaining the eligible phase stability is crucial for the industrial application of the oxygen permeation membrane.

This article aims to study suitability and merits of employing a biofuel in methane-air jet flames for energy security and environmental sustainability purposes. A special biofuel (methyl decanoate, methyl 9-decenoate, and n-heptane) oxidation with 118 species reduced/skeletal mechanism and 837 reactions is combusted instead of methane. The biofuel was fed in the main jet inlet of the well-known Sandia flame D (SFD) while the hot pilot jet is still responsible for ignition. The open-source software OpenFOAM was used for simulating turbulent biofuel-air combustion. To check the accuracy of computational results, the system was initially validated with SFD experimental results and good agreements were found. After ignition, mean temperature distribution and species mean mass fraction at different distances in axial and radial directions were investigated. Results showed that the biofuel can be effectively used as an alternative to SFD not only for generating a reasonable temperature as methane does, but also for significantly reduction in principal greenhouse gas emissions.

The characteristics of transition from laminar to chaotic natural convection in a two-dimensional horizontal annulus with an internally slotted circle is analyzed using Lattice Boltzmann method (LBM). The aim of this paper is to identify the route(s) to chaos, and to illustrate the dynamical response of the flow with the change of the control parameter (Ra). The results obtained for a range of the Rayleigh number, Ra, from 5 × 103 to 2 × 106 at Pr = 0.71, and the slot degree, Sf, from 0.1 to 0.4. The numerical results show that slot ratio, slot configuration, and Rayleigh number are influential to oscillation phenomenon in this model; the flow inside the annulus may be: (1) a stable base-two-cells regime, (2) a multi-cellular flow with four-stable-symmetrical-secondary cells regime, (3) a multi-cellular flow with four-oscillatory-secondary cells regime, and (4) an asymmetrical oscillation regime. The results also show that the oscillatory flow undergoes several bifurcations and ultimately evolves to a chaotic flow after the first bifurcation. In addition, certain features of nonlinear dynamical systems like bifurcation, self-sustained oscillations are also observed. The simulation results also show that slot degree Sf is relevant to oscillations. Furthermore, with the larger slotted ratio, the flow is more unstable, and the configuration with top and bottom slot seems to be the most unstable among the given four models.

In this paper, the element differential method is extended to solve a transient nonlinear heat conduction problem with a heat source and temperature-dependent thermophysical properties for the first time. The transient term is discretized by employing a finite difference scheme. An iterative methodology is developed to deal with the nonlinearity caused by temperature-dependent thermophysical properties. Examples of two-dimensional (2D) and three-dimensional (3D) problems are given to validate the present method for solving multi-dimensional transient nonlinear heat conduction problems. The results show that the present EDM provides a promising way that is effective and with high accuracy for solving multi-dimensional transient nonlinear heat conduction problems.

Background Facile synthesis and small size theranostic agents have shown great potential for cancer diagnosis and treatment. Purpose A ternary compound (Cu5FeS4), Fe doped copper sulfide, with novel magnetic properties and strong near-infrared absorption was prepared for magnetic resonance imaging (MRI) imaging guided photothermal therapy of cancer. Patients and methods Firstly, the capability of magnetic resonance imaging based on the novel magnetic properties and the photothermal performance due to the strong near-infrared absorption was investigated in vitro. Then, the magnetic resonance imaging guided photothermal therapy for 4T1 tumor-bearing mouse was carried out. Results The Cu5FeS4 cube with good T1-weighted MRI, excellent photothermal performance and low cytotoxicity has been investigated. More importantly, the T1-weighted MRI for 4T1 tumor-bearing mouse will get the best contrast effect at tumor site after 8 h of intravenous injection of Cu5FeS4 cube. Under the guidance of the T1-weighted MRI, the PTT was carried out at 8 h after intravenous injection of Cu5FeS4 cube and only the group combined intravenous administration of Cu5FeS4 cube and laser irradiation nearly cured the tumor after 14 days. Conclusion Our study not only provides a new material for personalized treatment of tumors, but also further promotes potential applications of the cancer theranostic agents.

Objective: Hypopituitarism (Hypo-Pit) is partial or complete insufficiency of anterior pituitary hormones. Besides hormone metabolism, the global metabolomics in Hypo-Pit are largely unknown. We aimed to explore potential biomarkers to aid in diagnosis and personalized treatment.Methods: Using both univariate and multivariate statistical methods, we identified 72 differentially abundant features through liquid chromatography coupled to high-resolution mass spectrometry, obtained in 134 males with Hypo-Pit and 90 age matched healthy controls.Results: Hypopituitarism exhibits an increased abundance of metabolites involved in amino acid degradation and glycerophospholipid synthesis, but decreased content of metabolites in steroid hormone synthesis and fatty acid beta-oxidation. Significantly changed metabolites included creatine, creatinine, L-alanine, phosphocholines, androstenedione, hydroprenenolone, and acylcarnitines. In Hypo-Pit patients, the increased ratio of creatine/creatinine suggested reduced creatine uptake and impaired creatine utilization, whereas the decreased level of beta-hydroxybutyrate, acetylcarnitine (C2) and a significantly decreased ratio of decanoylcarnitine (C10) to free carnitine suggested an impaired beta-oxidation. Furthermore, the creatine/creatinine and decanoylcarnitine/carnitine ratio were identified as diagnostic biomarkers for Hypo-Pit with AUCs of 0.976 and 0.988, respectively. Finally, we found that the creatinine and decanoylcarnitine/carnitine ratio could distinguish cases that were sensitive vs. resistant to human chorionic gonadotropin therapy.Conclusion: We provided a global picture of altered metabolic pathways in Hypo-Pit, and the identified biomarkers in creatine metabolism and beta-oxidation might be useful for the preliminary screening and diagnosis of Hypo-Pit.

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Moderate folic acid (FA) intake is an effective strategy that slows colorectal cancer (CRC) progression. However, high consumption of FA may trigger the transition of precancerous tissue towards malignancy. MicroRNAs (miRNAs) are considered to be potential biomarkers of CRC. Thus, identification of miRNAs of dysregulated genes in CRC cells by detailed analysis of mRNA and miRNA expression profile in the context of FA deficiency could substantially increase our understanding of its oncogenesis. mRNA-seq and miRNA-seq analyses were utilized to investigate the expression of miRNAs in FA-deficient CRC cell line–HCT116 through massive parallel sequencing technology. A total of 38 mRNAs and 168 miRNAs were identified to be differentially expressed between CRC groups with or without FA deficiency. We constructed an miRNA-mRNA network for the vital regulatory miRNAs altered in FA-deficient CRC cells. The mRNAs and miRNAs validated by Western blotting and RT-qPCR were consistent with the sequencing results. Results showed that FA deficiency upregulated some miRNAs thereby inhibiting the expression of critical genes in the endoplasmic reticulum (ER) stress pathway. Dysregulated miRNAs in our miRNA-mRNA network could contribute to CRC cell in response to deficient FA. This work reveals novel molecular targets that are likely to provide therapeutic interventions for CRC.

Lanxangia tsaoko is a famous Chinese traditional medicine with long history. In this study, the complete chloroplast (cp) genome of L. tsaoko was characterized and assembled using a high-throughput sequencing method. The complete cp genome is 164,008 bp in length, including a large single copy (LSC) region of 89,134 bp and a small single copy (SSC) region of 15,372 bp separated by two inverted repeat (IR) regions of 29,751 bp. A total of 137 genes were identified, including 88 protein-coding genes (PCG), 38 transfer RNA genes, 8 ribosomal RNA genes, and 3 pseudogenes. The phylogenetic analysis revealed that L. tsaoko is located in Zingiberaceace, closely related to Amomum and Alpinia with a 100% bootstrap support.

We have developed a method to conduct measurement in high temperature and high heat flux environment. The method is based on sensors mounted on the back side of a specimen irradiated by high energy lasers. The sensor readings are used to calculate the front surface temperature and heat flux through inverse heat conduction computations. This paper presents a novel thermal couple arrays known as "intrinsic thermal couples". A metal wire spot-welded to the metal specimen forms each intrinsic thermal couple. Aluminum and stainless steel specimens are tested. The experimental results show that these thermal couple arrays provide data that are rugged and uniquely suited for the high temperature and high heat flux environment.

With the continuous improvement of neural network and the combination of other new algorithms, its application field is more and more extensive. In this paper, a dynamic correction method of static load model parameters based on genetic algorithm is used to identify the constant parameters of power function of moving load model by genetic algorithm, and to modify the parameters of load model in real time according to load changes. The global convergence of the optimal preservation strategy is utilized and the diversity of the population is maintained. At the same time, the weight of the neural network is adjusted by the improved genetic algorithm to form a new improved genetic algorithm to optimize the BP neural network. Comparing with GA-BP network with selection operator as fitness proportional selection operator, the results show that the improved algorithm shortens the convergence time and reduces the operation error. Finally, using the literature data method to construct the physical characteristics and qualities that excellent middle distance running should possess, as the basis of training practice, combined with physical fitness, skills and combat energy training, a training model of middle and long distance running is established.