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BISON is a nuclear fuel performance application built using the Multiphysics Object-Oriented Simulation Environment (MOOSE) finite element library. One of its major goals is to have a great amount ...

Long non‐coding RNAs (lncRNAs) contribute to disease pathogenesis and drug treatment effects. Both emodin and dexamethasone (DEX) have been used for treating severe acute pancreatitis‐associated acute lung injury (SAP‐ALI). However, lncRNA regulation networks related to SAP‐ALI pathogenesis and drug treatment are unreported. In this study, lncRNAs and mRNAs in the lung tissue of SAP‐ALI and control rats, with or without drug treatment (emodin or DEX), were assessed by RNA sequencing. Results showed both emodin and DEX were therapeutic for SAP‐ALI and that mRNA and lncRNA levels differed between untreated and treated SAP‐ALI rats. Gene expression profile relationships for emodin‐treated and control rats were higher than DEX‐treated and ‐untreated animals. By comparison of control and SAP‐ALI animals, more up‐regulated than down‐regulated mRNAs and lncRNAs were observed with emodin treatment. For DEX treatment, more down‐regulated than up‐regulated mRNAs and lncRNAs were observed. Functional analysis demonstrated both up‐regulated mRNA and co‐expressed genes with up‐regulated lncRNAs were enriched in inflammatory and immune response pathways. Further, emodin‐associated lncRNAs and mRNAs co‐expressed modules were different from those associated with DEX. Quantitative polymerase chain reaction demonstrates selected lncRNA and mRNA co‐expressed modules were different in the lung tissue of emodin‐ and DEX‐treated rats. Also, emodin had different effects compared with DEX on co‐expression network of lncRNAs Rn60_7_1164.1 and AABR07062477.2 for the blue lncRNA module and Nrp1 for the green mRNA module. In conclusion, this study provides evidence that emodin may be a suitable alternative or complementary medicine for treating SAP‐ALI.

A robust learning control strategy is presented for uncertain linear system with mismatched disturbance. A linear model with both mismatched uncertainty and disturbance is proposed firstly, in which the information of uncertainty and disturbance are unknown. Based on a reference model, a tracking error based linear model is built. What’s more, the input matrix of the linear model is assumed to be suffering from uncertainty. An extended state observer is built to approximate the uncertainty and disturbance online, and then a novel state tracking error based sliding surface is proposed. The stability of the sliding surface is guarantee by the designing parameter. A sliding mode based learning controller is designed for the closed-loop uncertain system. Moreover, a numerical simulation result on hypersonic flight vehicles is proposed to test the presented method.

Both electronic and ionic conductivities are of high importance to the performance of anode materials for Li-ion batteries. Many large capacity anode materials (such as Ge) do not have sufficiently high electronic and ionic conductivities required for high-rate cycling. Here, we report a novel ternary compound, copper germanium phosphide (CuGe2P3), as a high-rate anode. Being synthesized via a facile and scalable mechanochemistry method, CuGe2P3 has a cation-disordered sphalerite structure and offers higher ionic and electronic conductivities and better tolerance to volume change during cycling than Ge, as confirmed by first principles calculations and experimental characterization, including high-resolution synchrotron X-ray diffraction, HRTEM, SAED, XPS and Raman spectroscopy. Furthermore, the results suggest that CuGe2P3 has a reversible Li-storage mechanism of conversion reaction. When composited with graphite by virtue of a two-stage ball-milling process, the yolk–shell structure of the amorphous carbon-coated CuGe2P3 nanocomposite (CuGe2P3/C@Graphene) delivers a high initial coulombic efficiency (91%), a superior cycling stability (1312 mA h g−1 capacity after 600 cycles at 0.2 A g−1 and 876 mA h g−1 capacity after 1600 cycles at 2 A g−1), and an excellent rate capability (386 mA h g−1 capacity at 30 A g−1), surpassing most Ge-based anodes reported to date. Moreover, a series of cation-disordered new phases in the Cu(Zn)–Ge–P family with various cation ratios offer similar Li-storage properties, achieving high reversible capacities with high initial coulombic efficiencies and desirable redox chemistry with improved safety.

Aqueous zinc–manganese dioxide (Zn–MnO2) batteries show great promise for grid-scale energy storage but suffer from sluggish reaction kinetics and severe structural instability of the MnO2 cathode. Herein, a K+-pre-intercalated α-MnO2 cathode with oxygen defects (KMOd) is designed, guided by a new coupling engineering strategy, demonstrating boosted reaction kinetics and improved structural stability of MnO2. Closely coupled first-principles calculations and experiments reveal that the synergy effects of pre-intercalated K+ and oxygen defects are key to the high electronic conductivity, favorable H+ diffusion kinetics, enhanced H+/Zn2+ adsorption/intercalation capability, and improved structural stability of the KMOd cathode. A high energy density of 518 W h kg−1 calculated based on the mass of the cathode and outstanding long-term cycling performance of over 2500 cycles at 2.0 A g−1 with a capacity of 203 mA h g−1 and a retention of 81.3% are achieved. New insights into the structural stabilization effect by adding K2SO4 additive into the aqueous electrolyte are also revealed. A hybrid charge storage mechanism of non-diffusion controlled Zn2+ intercalation and diffusion controlled H+ intercalation is proposed.

Endocrine therapies with SERMs (selective estrogen receptor modulators) or SERDs (selective estrogen receptor downregulators) are standard therapies for patients with estrogen receptor (ER)-positive breast cancer. Multiple small molecule inhibitors targeting the PI3K-AKT-mTOR pathway or CDK4/6 have been developed to be used in combination with anti-estrogen drugs to overcome endocrine resistance. In addition to their direct antitumor effects, accumulating evidence has revealed the tumor immune microenvironment (TIM)-modulating effects of these therapeutic strategies, which have not been properly acknowledged previously. The immune microenvironment of breast tumors plays a crucial role in tumor development, metastasis and treatment response to endocrine therapy and immunotherapy. Therefore, in our current work, we comprehensively review the immunomodulatory effect of endocrine therapy and discuss its potential applications in combination with immune checkpoint inhibitors in breast cancer treatment.

The aim of this study was to evaluate the predictive value of urinary neutrophil gelatinase-associated lipid (uNGAL) for the prediction of sepsis-associated acute kidney injury (SA-AKI).From September to December 2012, 110 patients were prospectively enrolled from the intensive care units (ICUs) of 3 general hospitals. After being admitted to the ICU, the patients were continuously observed for 72 hours. According to the Kidney Disease Improving Global Outcomes (KDIGO) criteria for the diagnosis of acute kidney injury (AKI), the patients were divided into the AKI group (33 patients) and non-AKI group (77 patients). Per the sepsis diagnostic criteria, the patients were classified as septic (79 patients) and non-septic (31 patients). Serum creatinine and uNGAL of the patients were analyzed daily. The difference in uNGAL in septic and non-septic patients, patients with and without AKI, and septic patients with with and without AKI were compared. In addition, the difference in serum creatinine and uNGAL in patients with and without AKI were recorded and compared, and the sensitivity and specificity of uNGAL and sCr for the diagnosis of AKI in the ICU patients were evaluated using the receiver operating characteristic (ROC) curve.uNGAL levels were all significantly different in septic and non-septic patients (P = .001, P = .028, P = .010, respectively), patients with and without AKI (P = .001, P = .042, P = .001, respectively), septic patients with AKI and septic patients without AKI (P = .003, P = .012, P = .001, respectively) at 24, 48 and 72 hours after being admitted to the ICU, while the difference in sCr was not significant (P = .169) after 24 hours. The area under the ROC curve of uNGAL and sCr in patients admitted to the ICU at 24 hours were 0.828 (95% CI, 0.742 to 0.914) and 0.583 (95% CI, 0.471 to 0.695), respectively. The cutoff value of uNGAL was 170 ng/mL in patients admitted to the ICU at 24 hours, and the sensitivity and specificity were 0.778 and 0.784, respectively. The sensitivity of uNGAL was superior sCr.uNGAL has relatively high sensitivity and specificity in predicting the occurrence of AKI in septic patients, which is superior to sCr and has certain clinical early diagnostic value. uNGAL could be used as an indicator for early diagnosis of AKI in septic patients in the ICU.

The role of gut microbiota in regulating the intestinal homeostasis, as well as the pathogenesis of severe acute pancreatitis-associated lung injury (PALI) is widely recognized. The bioactive functions of metabolites with small molecule weight and the detail molecular mechanisms of PALI mediated by "gut-lung axis" have gradually raised the attentions of researchers. Several studies have proved that short-chain fatty acids (SCFAs) produced by gut microbiome play crucial roles and varied activities in the process of PALI. However, relevant reviews reporting SCFAs in the involvement of PALI is lacking. In this review, we firstly introduced the synthetic and metabolic pathways of SCFAs, as well as the transport and signal transduction routes in brief. Afterwards, we focused on the possible mechanisms and clues of SCFAs to participate in the fight against PALI which referred to the inhibition of pathogen proliferation, anti-inflammatory effects, enhancement of intestinal barrier functions, and the maintenance and regulation of immune homeostasis via pathogen-associated molecular patterns (PAMPs) and damage-associated molecular patterns (DAMPs). In addition, the latest reported pathological and physiological mechanisms of the gut-lung axis involved in PALI were reviewed. Finally, we summarized the potential therapeutic interventions of PALI by targeting SCFAs, including dietary fiber supplementation, direct supplementation of SCFAs/prebiotics/probiotics, and drugs administration, which is expected to provide new sights for clinical use in the future.

Lateral organ boundaries domain (LBD) proteins, a class of plant-specific transcription factors with a special domain of lateral organ boundaries (LOB), play essential roles in plant growth and development. However, there is little known about the functions of these genes in wheat to date. Our previous study demonstrated that

Using excitation-energy-scanning ultrafast infrared microspectroscopy, the excess energy-dependent hot carrier relaxation dynamics in atomically thin two-dimensional transition metal dichalcogenides (2D TMDs) after femtosecond photoexcitation was directly monitored. A good linear relationship between the carrier relaxation time and the excitation wavelength is observed for all measured monolayer (ML) and bilayer (BL) TMD samples, which allows us to determine their quasiparticle bandgaps as well as corresponding exciton binding energies. A carrier-optical-phonon scattering-mediated cascading-relaxation model is proposed, which can perfectly describe all the measured dynamics. As a consequence, the quasiparticle bandgaps of ML MoSe2, ML MoS2, BL MoSe2, and BL WSe2 are determined to be 2.07, 2.11, 1.67, and 1.81 eV, respectively. Our work reveals a general picture for the hot carrier relaxation dynamics in atomically thin TMDs and offers an effective experimental approach in probing the bandgaps of TMDs under ambient conditions.

The development of all-solid-state batteries is limited by the low ionic conductivity of solid electrolytes. Beyond sulfides and oxides, halides represent another family of solid electrolytes with ...

The difference between the excited- and ground-state vibrational wavepackets remains to be fully explored when multiple vibrational modes are coherently excited simultaneously by femtosecond pulses. In this work, we present a series of one- and two-dimensional electronic spectroscopy for studying multimode wavepackets of oxazine 720 in solution. Fourier transform (FT) maps combined with time-frequency transform (TFT) are employed to unambiguously distinguish the origin of low-frequency vibrational wavepackets, that is, an excited-state vibrational wavepacket of 586 cm-1 with a dephasing time of 0.7 ps and a ground-state vibrational wavepacket of 595 cm-1 with a dephasing time of 1.3-1.7 ps. We also found the additional low-frequency vibrational wavepackets resulting from the coupling of the 595 cm-1 mode to a series of high-frequency modes centered at 1150 cm-1 via electronic transitions. The combined use of FT maps and TFT analysis allows us to reveal the potential vibrational coupling of wavepackets and offers the possibility of disentangling the coupling between the electronic and vibrational degrees of freedom in condensed-phase systems.

Summary Surface vacancy engineering played a significant role in tailoring the structure and improving the performance of semiconductor nanocrystals (SNCs). Developing controllable vacancy engineering strategies to overcome kinetic energy barriers in multi-step reactions is anticipated to explore further synthesis mechanisms and functional nanomaterials. Herein, we exploited an effective surface-vacancy-engineering-initialized cation exchange (SVEICE) strategy to realize energy-unfavored cation exchange reactions from ternary CuInX2 (X = S, Se) to Cu, In dual-doped binary CdX, or ZnX SNCs, unprecedentedly. The sequential and selective creation of Cu and In vacancies on multi-component SNC surface is critical to break through kinetic energy barriers. The emission of dual-doped CdS:Cu/In SNCs crossed visible-NIR region due to the radiative transition from doped In level to Cu-doped e- or t-level, and the radiative recombination process could also be tailored by this strategy. Further energy analysis and experiments confirmed its versatility.

We report on a non-destructive, on-chip technique for determining the elastic modulus ( $E_{\mathrm {Y}}$ ) of silicon carbide (SiC) thin diaphragms by measuring their nonlinear resonances. Departing from the conventional static load-deflection techniques ( e.g. , beam bending, membrane bulging and nanoindentation), the nonlinear resonance approach enables characterizing mechanical properties without risk to the microdevices, bypassing complicated contact-mode sample preparation, and bulky, expensive apparatus. We derive the mode-dependent Duffing resonances of the diaphragms in the ‘membrane’ regime, and correlates $E_{\mathrm {Y}}$ with the Duffing ‘backbone’ curve. To verify our model, we fabricate SiC square diaphragms (1mm $\times 1$ mm $\times 2~\mu \text{m}$ ) that exhibit multimode resonances up to 500kHz and quality ( $Q$ ) factors up to 16,000. Taking the device’s (2,2) mode as an example, we obtain $E_{\mathrm {Y}} = 436\,\,\pm \,\,27$ GPa via its Duffing nonlinear response. The technique can be readily and widely extended to other thin films and MEMS/NEMS resonators. [2020-0209]

Defect-mediated processes in two-dimensional transition metal dichalcogenides have a significant influence on their carrier dynamics and transport properties, however, the detailed mechanisms remain poorly understood. Here, we present a comprehensive ultrafast study on defect-mediated carrier dynamics in ion exchange prepared few-layer MoS2 by femtosecond time-resolved Vis-NIR-MIR spectroscopy. The broadband photobleaching feature observed in the near-infrared transient spectrum discloses that the mid-gap defect states are widely distributed in few-layer MoS2 nanosheets. The processes of fast trapping of carriers by defect states and the following nonradiative recombination of trapped carriers are clearly revealed, demonstrating the mid-gap defect states play a significant role in the photoinduced carrier dynamics. The positive to negative crossover of the signal observed in the mid-infrared transient spectrum further uncovers some occupied shallow defect states distributed at less than 0.24 eV below the conduction band minimum. These defect states can act as effective carrier trap centers to assist the nonradiative recombination of photo-induced carriers in few-layer MoS2 on the picosecond time scale.

Higher-order peridynamic material correspondence model can be developed based on the formulation of higher-order deformation gradient and constitutive correspondence with generalized continuum theories. In this paper, we present formulations of higher-order peridynamic material correspondence models adopting the material constitutive relations from the strain gradient theories. Similar to the formulation of the first-order deformation gradient, the weighted least squares technique is employed to construct the second-order and the third-order deformation gradients. Force density states are then derived as the Frechet derivatives of the free energy density with respect to the deformation states. Connections to the second-order and the third-order strain gradient elasticity theories are established by realizing the relationships between the energy conjugate stresses of the higher-order deformation gradients in peridynamics and the stress measures in strain gradient theories. In addition to the horizon, length-scale parameters from strain gradient theories are explicitly incorporated into the higher-order peridynamic material correspondence models, which enables application of peridynamics theory to materials at micron and sub-micron scales where length-scale effects are significant.

Graphical abstract, The details of the immunological microenvironment and its clinical implications for pancreatic cancer are still unclear. In this study, we obtained data from public databases, such as the Gene Expression Omnibus, the Cancer Genome Atlas Program, the International Cancer Genome Consortium Data Portal, the ArrayExpress Data Warehouse, and the cBioPortal for Cancer Genomics. We used these data to evaluate the pattern of immune cells infiltration in pancreatic ductal adenocarcinoma (PDAC) tissues. We observed that the levels of M0 macrophages and activated dendritic cells in tumor tissues were significantly higher than that in para-tumor tissues. M0 macrophages, gamma delta T cells and naive CD4 T cells were independent predictive factors of a poor outcome for PDAC patients. An immune score determined by M0 macrophages, gamma delta T cells and naive CD4 T cells could predict the survival of patients. The results of this study suggest that the infiltration of immune cells, such as M0 macrophages, may be a possible target for the treatment of PDAC. However, these findings need to be confirmed by additional studies.

A novel sliding mode learning controller is proposed for uncertain mechanical system in this paper. The model of uncertain mechanical system is listed first, and then extended state observer is designed for the estimation of the uncertainty. Then, an extended state observer–based sliding surface is constructed. The sliding surface parameters are solved by Lyapunov function approach. Then, a sliding mode learning controller is proposed for uncertain mechanical system to overcome the inherent chattering. Finally, a numerical simulation is given to show the effectiveness of the proposed sliding mode learning controller.

A combined experimental and numerical investigation is carried out to study the performance of a vertical-axis eccentric-disc variable-pitch turbine (VEVT). A scheme of eccentric disc pitch control mechanism based on double-block mechanism is proposed. The eccentric control mechanism and the deflection angle control mechanism in the pitch control structure are designed and optimized according to the functional requirements of the turbine, and the three-dimensional model of the turbine is established. Kinematics analysis of the eccentric disc pitch control mechanism is carried out. Kinematics parameters and kinematics equations which can characterize its motion characteristics are derived. Kinematics analysis and simulation are carried out, and the motion law of the corresponding mechanical system is obtained. By analyzing the force and motion of blade of VEVT, the expressions of the important parameters such as deflection angle, attack angle and energy utilization coefficient are obtained. The lateral induced velocity coefficient is acquired by momentum theorem, the hydrodynamic parameters such as energy utilization coefficient are derived, and the hydrodynamic characteristics of VEVT are also obtained. The experimental results show that the turbine has good energy capture capability at different inflow velocities of different sizes and directions, which verifies that VEVT has good self-startup performance and high energy capture efficiency.

In situ CO2 foams (ISCF) are studied systematically by combining in situ CO2 gas reactants (carbonate anhydrous, hydrochloric acid) and bio‐based surfactant. Sandpack flooding experiments at 60°C along with PVT experiments were carried out to analyze the oil displacement mechanisms. The results showed that ISCF could increase oil recovery from heterogeneous multilayer formation of permeability ratio over 6, and displacement efficiency increased with the injection volume increased before the injection of 1 PV. The incremental oil recovery by ISCF was much greater than that of conventional foam or in situ CO2 (ISC) without foam under the same injection conditions. The generated CO2 foam could reduce the interfacial tension between displacement phase and displaced phase effectively which contributed to the great increase in capillary number. The CO2 dissolution greatly reduced the viscosity of crude oil, and the highest viscosity reduction rate at 60°C could be as high as 98%. The Ca2+ concentration of produced liquids analysis revealed the ISCF could distribute intelligently the acid in heterogeneous formations.

BACKGROUND We studied the protective effects of Qingyi decoction (QYD) (a Traditional Chinese Medicine) against severe acute pancreatitis (SAP)-induced myocardial infarction (MI). AIM To study the function and mechanism of QYD in the treatment of myocardial injuries induced by SAP. METHODS Ultrasonic cardiography, hematoxylin and eosin staining, immunohistochemistry, qRT-PCR, western blot, enzyme-linked immunosorbent assays, and apoptosis staining techniques were used to determine the effects of QYD following SAP-induced MI in Sprague-Dawley rats. RESULTS Our SAP model showed severe myocardial histological abnormalities and marked differences in the symptoms, mortality rate, and ultrasonic cardiography outputs among the different groups compared to the control. The expression of serum cytokines [interleukin (IL)-1ß, IL-6, IL-8, IL-12, amyloid β, and tumor necrosis factor-α] were significantly higher in the SAP versus QYD treated group (P < 0.05 for all). STIM1 and Orai1 expression in myocardial tissue extracts were significantly decreased post QYD gavage (P < 0.001). There was no significant histological difference between the 2-aminoethyl diphenylborinate inhibitor and QYD groups. The SAP group had a significantly higher apoptosis index score compared to the QYD group (P < 0.001). CONCLUSION QYD conferred cardio-protection against SAP-induced MI by regulating myocardial-associated protein expression (STIM1 and Orai1).

Early diagnosis of Hepatocellular Carcinoma (HCC) is an important means to raise the survival rate of patients. Multi-marker combined detection is a powerful tool of early HCC diagnosis. Traditional detection methods are not effective and accurate because it is difficult to achieve combined detection of multiple markers. In this paper, we selected Alpha Fetoprotein (AFP) and miRNA-125b as the combined detection markers to improve the simultaneously diagnostic sensitivity and specificity. The anti-AFP monoclonal antibody and the DNA probes paired with the miRNA-125b were modified on the surface of surface plasmon resonance (SPR) sensor respectively to specifically recognize AFP and miRNA-125b in serum. In order to enhance the SPR response signal and detection sensitivity, Double Antibody Sandwich Method (DASM) and S9.6 antibody enhanced method were applied to achieve low detection limit of the two markers. Experimental results showed that AFP (25–400 ng/mL) was accurately detected by DASM and the detection limit of miRNA-125b by S9.6 antibody enhanced method reached 123.044 pM. These results verified the feasibility of the multi-marker detection method in early diagnosis of HCC.

Owing to highly conductive solid ionic conductors, all-solid-state batteries attract significant attention as promising next-generation energy storage devices. A lot of research is invested in the search and optimization of solid electrolytes with higher ionic conductivity. However, a systematic study of an interlaboratory reproducibility of measured ionic conductivities and activation energies is missing, making the comparison of absolute values in literature challenging. In this study, we perform an uncertainty evaluation via a Round Robin approach using different Li-argyrodites exhibiting orders of magnitude different ionic conductivities as reference materials. Identical samples are distributed to different research laboratories and the conductivities and activation barriers are measured by impedance spectroscopy. The results show large ranges of up to 4.5 mScm-1 in the measured total ionic conductivity (1.3 – 5.8 mScm-1 for the highest conducting sample, relative standard deviation 35 – 50% across all samples) and up to 128 meV for the activation barriers (198 – 326 meV, relative standard deviation 5 – 15%, across all samples), presenting the necessity of a more rigorous methodology including further collaborations within the community and multiplicate measurements.

Foam fluid is widely used in petroleum industry, so the behavior of foam fluid flow in porous media directly affects the application effect of foam. However, the foam flow pattern in porous media is difficult to established because of its dynamic change of interface structure and unpredictable boundary condition. In this work, the transient structural changes of foam fluid in porous media are quantitatively characterized, and the flow behavior is analyzed based on fractal theory and visual experiments. Firstly, the foam fractal characteristics are verified and the fractal dimension is calculated. Results shows that the foam fractal dimension is between 1.5~2.0, and the foam flow can be divided into three stages: gas-liquid two-phase flow, foam unstable flow stage and foam stable flow stage. In addition, the evaluation indexes of foam performance in porous media are proposed to evaluate the influencing factors. Namely, the fractal dimension in stable stage Dfoam-s and the time needed to reach stability Ts....

The Anti-pitching Generating WEC (AG-WEC) combines the floating articulated platform with the wave energy device. The wave energy device is installed between the hinged platform modules to provide damping to reduce the relative pitch while generating electricity at the same time. A semi-analytical solution of the dynamic characteristics of the AG-WEC is developed by the frequency- and time-domain analysis of the device based on the potential flow theory. Based on Eigenfunction Expansion Matching’s potential flow theory, the semi-analytical expressions of wave loads and radiation hydrodynamic coefficients of AG-WEC are derived. By establishing a two-degree-of-freedom vibration system, the analytical solution of frequency-domain dynamic characteristics of the AG-WEC is obtained. Based on the analytical solution of Optimal PTO Damping Coefficient, the analytical optimization of the PTO system is realized, and the mechanism of high-efficiency energy capture of the device is revealed. The time-domain dynamic characteristics of AG-WEC under regular and irregular waves are analyzed by introducing the non-linear Power Take-Off (PTO) system and irregular wave theory with combining the Impose Response Function method.

Mn oxides are among the most ubiquitous minerals on Earth and play critical roles in numerous elemental cycles in biotic/abiotic loops as the key redox center. Yet, it has long puzzled geochemists why the laboratory synthesis of todorokite, a tunnel-structured Mn oxide, is extremely difficult while it is the dominant form over other tunneled phases in low-temperature natural environments. This study employs a novel electrochemical method to mimic the cyclic redox reactions occurring over long geological time scales in an accelerated manner. The results revealed that the kinetics and electron flux of the cyclic redox reaction are key to the layer-to-tunnel structure transformation of Mn oxides, provided new insights for natural biotic and abiotic redox reactions, and explained the dominance of todorokite in nature.

Mo2C is one of the few compounds that possess good electronic conductivity. Meanwhile, it possesses a natural 1D zigzag tunnel structure that is ideally suited for fast ion diffusion. Here, an effective approach is demonstrated for fabrication of structurally stable N-doped Mo2C/C nanobelts. They demonstrate high and fast energy storage ability with initial capacitances of 1139 C g−1 at 1 mV s−1, 151 C g−1 at an extremely high scan rate of 2000 mV s−1 and 208 C g−1 at a discharge current density of 200 A g−1. After electrochemical activation of cycling, the capacity is continuously enhanced and much higher capacitances of 2523 C g−1 at 1 mV s−1 and 1403 C g−1 at 50 A g−1 are achieved after 15 000 cycles at 50 mV s−1. Using the power law, it is evaluated that a surface-controlled capacitive process makes the main contribution to the capacity, which is over 90% when the scan rates are higher than 10 mV s−1 and still high as 73% at 1 mV s−1. From in situ synchrotron XRD, it is found that there is a negligible change in the crystal structure and volume during charging/discharging, reflecting an insertion-type charge storage mechanism.

A new class of white luminescent materials, white-light-emitting graphene quantum dots (WGQDs), have attracted increasing attention because of their unique features and potential applications. Herein, we designed and synthesized a novel WGQDs via a solvothermal molecular fusion strategy. The modulation of chlorine doping amount and reaction temperature gives the WGQDs a single-crystalline structure and bright white fluorescence properties. In particular, the WGQDs also exhibit novel and robust white phosphorescence performance for the first time. An optimum fluorescence quantum yield of WGQDs is 34%, which exceeds the majority of reported WGQDs and other white luminescent materials. The WGQDs display broad-spectrum absorption within almost the entire visible light region, broad full width at half maximum and extend their phosphorescence emission to the entire white long-wavelength region. This unique dual-mode optical characteristic of the WGQDs originates from the synergistic effect of low-defect and high chlorine-doping in WGQDs and enlarges their applications in white light emission devices, cell nuclei imaging, and information encryption. Our finding provides us an opportunity to design and construct more advanced multifunctional white luminescent materials based on metal-free carbon nanomaterials.

A facile method to prepare low-density polyethylene (LDPE)/polystyrene (PS) interpolymer resin particles by swelling suspension polymerization without addition of extra swelling agent was developed. The polymerization temperature, polymerization time, and initiator concentration were investigated. Fourier transform infrared spectroscopy analysis confirmed that the LDPE/PS interpolymer resin particles were successfully prepared and a small amount of PS-g-LDPE existed in the resin. Scanning electron microscopy revealed that PS was uniformly distributed in the LDPE matrix, indicating excellent compatibility between PS and LDPE. The mechanical properties of LDPE/PS interpolymer resin were intermediate between PS and LDPE polymers.

Multifocal imaging has been a challenging and rewarding research focus in the field of imaging optics. In this paper, an ultra-thin multifocal integral LED-projector based on aspherical microlens array (MLA) is presented. A two-layer aspherical sub-lens with NA = 0.3 is proposed as a sub-channel projector and the optimization design ensures high optical integration precision and improves optical efficiency. To avoid the tailoring loss of the projected images between multi-plane projections, the central-projection constraints between size and projection distance for the multifocal projection are defined. The depth of focus (DOF) analysis for MLA and sub-lens is also introduced to proof the sufficiency of realizing multifocal projection. Combined with the radial basis function image warping method, multifocal sub-image arrays were acquired, and three types of multifocal integral projection were realized, breaking through the traditional limitations of the single-focal DOF. A prototype with thickness of less than 4 mm is developed. Substantial simulations and experiments are conducted to verify the effectiveness of the method and the design.

Cardiovascular disease is one of the most serious diseases that threaten human health in the world today. Therefore, establishing a high-quality disease prediction model is of great significance for the prevention and treatment of cardiovascular disease. In the feature selection stage, three new strong feature vectors are constructed based on the background of disease prediction and added to the original data set, and the relationship between the feature vectors is analyzed by using the correlation coefficient map. At the same time, a random forest algorithm is introduced for feature selection, and the importance ranking of features is obtained. In order to further improve the prediction effect of the model, a cardiovascular disease prediction model based on R-Lookahead-LSTM is proposed. The model based on the stochastic gradient descent algorithm of the fast weight part of the Lookahead algorithm is optimized and improved to the Rectified Adam algorithm; the Tanh activation function is further improved to the Softsign activation function to promote model convergence; and the R-Lookahead algorithm is used to further optimize the long-term memory network model. Therefore, the long- and short-term memory network model can be better improved so that the model tends to be stable as soon as possible, and it is applied to the cardiovascular disease prediction model.

This paper empirically tests the impact mechanism of digital economy development on manufacturing total factor productivity, using data from Chinese manufacturing enterprises from 2011 to 2020, and based on the theoretical framework of the impact of digital economy development on manufacturing total factor productivity. The development of the digital economy has been found to have a significant positive impact on the total factor productivity of the manufacturing industry. The heterogeneity effect demonstrates that the digital economy in coastal areas has a significant effect on the improvement of manufacturing total factor productivity, with the eastern coastal area having the strongest effect; the digital economy in the Yellow River’s middle reaches, the Yangtze River’s middle reaches, and the southwest also having a significant effect, with the effect in the southwest region being more significant; and the digital economy in the northwest and northeast having no effect. Possible reasons include larger bottlenecks in the western region’s labor force structure, technology level, and management capabilities, which may lead to the inability of enterprises to effectively absorb the dividends of digital change and apply the scenarios, thus affecting the release of their productivity effects.

In this work, ultrafast carrier dynamics of mechanically exfoliated 1T-TiSe2 flakes from the high-quality single crystals with self-intercalated Ti atoms are investigated by femtosecond transient absorption spectroscopy. The observed coherent acoustic and optical phonon oscillations after ultrafast photoexcitation reveal the strong electron–phonon coupling in 1T-TiSe2. The ultrafast carrier dynamics probed in both visible and mid-infrared regions indicate that some photogenerated carriers localize near the intercalated Ti atoms and form small polarons rapidly within several picoseconds after photoexcitation due to the strong and short-range electron–phonon coupling. The formation of polarons leads to a reduction of carrier mobility and a long-time relaxation process of photoexcited carriers for several nanoseconds. The formation and dissociation rates of the photoinduced polarons are dependent on both the pump fluence and the thickness of TiSe2 sample. This work offers new insights into the photogenerated carrier dynamics of 1T-TiSe2, and emphasizes the effects of intercalated atoms on the electron and lattice dynamics after photoexcitation.

Immunogenic cell death (ICD) is a form of programmed cell death with a strong sense of inflammatory detection, whose powerful situational awareness can cause the reactivation of aberrant immunity. However, the role of ICD in the pathogenesis of severe acute pancreatitis (SAP) has yet to be investigated. This study aims to explore the pivotal genes associated with ICD in SAP and how they relate to immune infiltration and short-chain fatty acids (SCFAs), in order to provide a theoretical foundation for further, in-depth mechanistic studies. We downloaded GSE194331 datasets from the Gene Expression Omnibus (GEO). The use of differentially expressed gene (DEG) analysis; weighted gene co-expression network analysis (WGCNA) and least absolute shrinkage and selection operator (LASSO) regression analysis allowed us to identify a total of three ICD-related hub genes (LY96, BCL2, IFNGR1) in SAP. Furthermore, single sample gene set enrichment analysis (ssGSEA) demonstrated that hub genes are closely associated with the infiltration of specific immune cells, the activation of immune pathways and the metabolism of SCFAs (especially butyrate). These findings were validated through the analysis of gene expression patterns in both clinical patients and rat animal models of SAP. In conclusion, the first concept of ICD in the pathogenesis of SAP was proposed in our study. This has important implications for future investigations into the pro-inflammatory immune mechanisms mediated by damage-associated molecular patterns (DAMPs) in the late stages of SAP.

In this paper, novel nonlocal reformulations of the conventional continuum-based models for modeling the thermoelastic behavior of cubic crystals based on a recently developed lattice particle method are presented. Like molecular dynamics simulation, the lattice particle method decomposes the grain domain into discrete material particles that are regularly packed according to the underlying atomic lattice. Nonlocal interactions are introduced between material particles and top-down approaches are used to relate model parameters to the material physical constants. Three equivalency assumptions are used in the top-down approach, namely, energy equivalency for the mechanical model, heat transfer rate equivalency for the thermal model, and thermal strain equivalency for the thermal-mechanical coupling model. Different from coordinates transformation used in the conventional continuum-based models, lattice rotation is adopted in the lattice particle method to equivalently represent the material anisotropy while explicitly capturing the crystallographic orientation. Two most common Bravais cubic lattices are studied, i.e., the body-centered cubic lattice and the face-center cubic lattice. The validity and prediction accuracy of the developed models are established by comparing the predicted displacements and temperature results with solutions of conventional continuum theories using the finite element method.

Acute lung injury/acute respiratory distress syndrome (ALI/ARDS) is a life-threatening lung disease characterized by refractory hypoxemia. Metabolomics is an emerging discipline for qualitative and quantitative analysis of small molecular weight metabolites in organisms or cells. Mass attention has been paid to its role in disease diagnosis and treatment. Recently, many metabolites based on metabolomics have been proposed as potential biomarkers for early development and prognosis of ALI/ARDS, and provide insights into new targeted interventions. Based on metabolomics, this article discusses the role of endogenous metabolites in the pathogenesis and biomarkers of ALI/ARDS, and summarizes its application in medical therapy.

Virtual image distance (VID) is a key parameter in augmented reality (AR) or virtual reality (VR) systems and has a great influence on product performance and user experience. Therefore, it is very necessary to measure the VID accurately and efficiently. In this paper, we develop a VID measurement system which needs no mechanical scanning in the measurement process. The VID can be measured in a short period of time based on one single image generated by the AR/VR system. An image-telecentric lens is designed which is used to capture the virtual image. A diaphragm with two pinholes is placed at the entrance pupil plane of the imaging lens. When the imaging lens is not focused on the virtual image, the captured image contains two copies of the virtual image with a certain interval which is proportional to the VID in units of diopters. By calculating the interval, we can obtain the VID. A simulation is performed in LightTools to verify the effectiveness of the measurement system, and the result indicates that the measurement error is 5 mm when the virtual image is at 3 m.

Intervertebral disk degeneration (IDD) is a major cause of low back pain that becomes a prevalent age-related disease. However, the pathophysiological processes behind IDD are rarely known. Here, we used bioinformatics analysis based on the microarray datasets (GSE34095) to identify the differentially expressed genes (DEGs) as biomarkers and therapeutic targets in degenerated discs. From the previous studies, oxidative stress has been notified as a positive inducement of IDD, which causes DNA damage and accelerates cell senescence. Polyamine oxidase (PAOX), a member of the observed 1057 DEGs, is involved in polyamine metabolism and influences the oxidative balance in cells. However, it is uncertain if the IDD is implicated in the dysregulation of PAOX and polyamine metabolism. This study firstly verified the PAOX upregulation in human degenerated disc samples and applied an IL-1β-induced nucleus pulposus (NP) cell degeneration model to demonstrate that spermidine supplementation balanced polyamine metabolism and delayed NP cell senescence. Moreover, we confirmed that spermidine/N-acetylcysteine supplementation or Cdkn2a gene deletion stabilized the polyamine metabolism, suppressed oxidative stress, and therefore delayed the progress of IDD in older mice. Collectively, our study highlights the role of polyamine metabolism in IDD and foresees spermidine would be the advanced therapeutical drug for IDD.

s In this paper, experiments were conducted to study the effect of weak magnetic fields on the freezing process of deionized water and physiological normal saline. The results show that different magnetic field strengths have different effects on aqueous solutions. Only a certain strength of the magnetic field will have a positive effect on the freezing process of the aqueous solution, and generally speaking, the effect of the magnetic field on the normal saline is better than that of deionized water. When the magnetic field strength is 150G, the magnetic field has a positive effect on the supercooling degree and the supercooling time of the saline. In the beef freezing experiment, it was found that the magnetic field can not only promote the freezing process of beef but also inhibit the freezing process. Whether a fan is added will also affect the freezing effect of the magnetic field on the beef.The magnetic field strength of 40G and 50G has a significant promotion effect on the freezing process of beef, while the magnetic field strength of 100G~150G has a significant inhibitory effect.

Micron-sized particles suspending in planetary atmospheres can damage thermal protection systems (TPS) during entry of space capsules into planetary bodies. TPS materials are complex heterogeneous carbon composites, where the microstructure of the composite can play a pivotal role in the propagation of the damage caused by the impact. Here, we present an application of a novel computational technique called the lattice particle method to understand the initiation and growth of craters formed on TPS materials upon impact by particles. The simulations are initially compared against experiments that used borosilicate as the impacting particle and fused silica as the target surface. The simulations reproduce the damage profiles, diameters, and depths of the craters being formed on the target silica surface. A parametric study is then performed by varying the fracture strength of the target surface and the impacting particle. It is found that the profiles of the damaged region on the silica surface primarily depends on the fracture strength of the silica surface, and not the impacting particle. The simulations are extended to model the damage of porous carbon composites that are used as TPS materials. Microstructures of carbon composites are generated using an in-house code that has been shown to reproduce features of the real material in past studies. While the crater depth on the fused silica surface was within 38% irrespective of the fracture strength of the particle, the damaged depth changes by at least an order of magnitude when a carbon composite surface is used and the fracture strength of the impacting particle is varied. Finally, the influence of damage on the effective permeability is computed using the direct simulation Monte Carlo technique. The maximum increase in the permeability force for the damaged microstructures is found to be 20%, which suggests that the crater created in the damaged microstructure does not significantly influence the path traversed by gases percolating through the porous TPS material.