Deep learning-based inverse design optimization of efficient multilayer thermal emitters in the near-infrared broad spectrum.

This study proposes a deep learning architecture for automatic modeling and optimization of multilayer thin film structures to address the need for specific spectral emitters and achieve rapid design of geometric parameters for an ideal spectral response. Multilayer film structures are ideal thermal emitter structures for thermophotovoltaic application systems because they combine the advantages of large area preparation and controllable costs. However, achieving good spectral response performance requires stacking more layers, which makes it more difficult to achieve fine spectral inverse design using forward calculation of the dimensional parameters of each layer of the structure. Deep learning is the main method for solving complex data-driven problems in artificial intelligence and provides an efficient solution for the inverse design of structural parameters for a target waveband. In this study, an eight-layer thin film structure composed of SiO2/Ti and SiO2/W is rapidly reverse engineered using a deep learning method to achieve a structural design with an emissivity better than 0.8 in the near-infrared band. Additionally, an eight-layer thin film structure composed of 3 × 3 cm SiO2/Ti is experimentally measured using magnetron sputtering, and the emissivity in the 1-4 µm band was better than 0.68. This research provides implications for the design and application of micro-nano structures, can be widely used in the fields of thermal imaging and thermal regulation, and will contribute to developing a new paradigm for optical nanophotonic structures with a fast target-oriented inverse design of structural parameters, such as required spectral emissivity, phase, and polarization.

Continuous programmable mid-infrared thermal emitter and camouflage based on the phase-change material In3SbTe2.

In3SbTe2 (IST), a new non-volatile phase-change material (PCM), promises highly tunable infrared optical properties and offers a distinct path to the significant modulation of its optical scattering fingerprint, suggesting tremendous applications. In this Letter, we demonstrate and optimize a four-layer emitter based on IST, achieving an ultra-wide average emissivity variation of more than 94% in the middle-infrared region (MIR, 3-5 µm). This remarkable emissivity difference can be further continuously modified by changing the structural composition in terms of the amorphous and crystalline states of the IST layers. Based on this continuous programmable emission, the MIR emission characteristics of marble, maple leaf, and blue polyvinyl chloride are successfully imitated together on a desert background, demonstrating the programmable and multi-level MIR optical camouflage capabilities of IST. This work provides a promising platform for continuously modulating emission characteristics and offers a reference for the subsequent application of programmable optical devices.

Design and optimization of mid-infrared hot electron detector based on Al/GaAs fishnet nanostructure for CO2 sensing.

Hot electron detectors (HEDs) based on plasmon resonance can circumvent a semiconductor's bandgap limitation and have high sensitivity, suitable for infrared gas detectors. Unfortunately, there are few literature reports on research in the mid-infrared (MIR) region. Herein, we design and optimize a HED based on Al/GaAs fishnet nanostructure for MIR CO2 sensing, and its optical-electrical properties are numerically studied. Surface plasmons not only achieve strong absorptance at CO2 emission wavelength but also greatly improve the photoelectric responsivity over a plane structure detector (∼42times). By changing the thickness of the GaAs layer, the detection wavelength can also be actively adjusted, achieving a larger range of multi-gas detection. The effect of external voltage is also considered. This work highlights a potential engineering application value and offers a path toward more compact and efficient MIR gas detectors.

Absorption characteristics of a metal-insulator-metal nanodisk for solar thermal applications.

Due to their ability to confine light in a sub-wavelength scale and achieve coherent absorption, plasmonic nanostructures have been intensively studied for solar energy harvesting. Although nanoparticles generating localized surface plasmon resonance (LSPR) have been thoroughly studied for application in a direct absorption solar collector (DASC), nanoparticles exciting magnetic polaritons (MP) for use in a DASC have not drawn much attention. In this work, we report a metal-insulator-metal (MIM) nanodisk that can excite MP peaks apart from the LSPR in the solar spectrum. It was found that the MIM nanodisk generates a broader and relatively more uniform absorption band compared to a pure metallic nanodisk. The MP peaks were also found to cause less significant scattering compared to those associated with the LSPR. We finally showed that the peaks induced by the MIM nanodisk are highly tunable by varying the particle dimensions, making the proposed MIM nanodisk a potential candidate for solar thermal applications.

A comparison between the low back pain scales for patients with lumbar disc herniation: validity, reliability, and responsiveness.

BACKGROUND: Although the Japanese Orthopedic Association Back Pain Evaluation Questionnaire (JOABPEQ), Numerical Pain Rating Scale (NPRS), Oswestry Disability Index (ODI), Roland Morris Disability Questionnaire (RMDQ), and Short Form 36 Health Survey (SF-36) has shown a preferable psychometric properties in patients with low back pain (LBP), but no study has yet determined these in conservative treatment of patients with lumbar disc herniation (LDH). Thus the current study aimed to compare those scales in LDH patients receiving conservative treatment to select the better option to assess the severity of disease. METHODS: LDH patients were invited to complete the JOABPEQ, NPRS, ODI, RMDQ, and SF-36 twice. The internal consistency was evaluated by the Cronbach's α. Test-retest reliability was tested by the intraclass correlation coefficient (ICC). The relationships of these scales were evaluated by the Pearson correlation coefficients (r). The responsiveness was operationalised using the receiver operating characteristic (ROC) curve, as well as the comparison of smallest detectable change (SDC), minimum important change (MIC). RESULTS: A total of 353 LDH patients were enrolled. Four subscales of the Chinese JOABPEQ were over 0.70, then the ICCs for the test-retest reliability were over 0.75. For functional status, remarked negative correlations could be seen between JOABPEQ Q2-Q4 and ODI, as well as RMDQ (r = - 0.634 to - 0.752). For general health status, remarkable positive correlations could also be seen between Q5 Mental health and SF-36 PCS (r = 0.724) as well as SF-36 MCS (r = 0.736). Besides, the area under of the curves (AUC) of the JOABPEQ ranged from 0.743 to 0.827, indicating acceptale responsiveness, as well as the NPRS, ODI, and RMDQ. CONCLUSION: NPRS, and ODI or RMDQ is recommended in studies related to LDH patients, while if the quality of life also is needed to observe, the NPRS, and JOABPEQ would be more appropriate rather than SF-36.

SUMOylation of the m6A-RNA methyltransferase METTL3 modulates its function.

The methyltransferase like 3 (METTL3) is a key component of the large N6-adenosine-methyltransferase complex in mammalian responsible for N6-methyladenosine (m6A) modification in diverse RNAs including mRNA, tRNA, rRNA, small nuclear RNA, microRNA precursor and long non-coding RNA. However, the characteristics of METTL3 in activation and post-translational modification (PTM) is seldom understood. Here we find that METTL3 is modified by SUMO1 mainly at lysine residues K177, K211, K212 and K215, which can be reduced by an SUMO1-specific protease SENP1. SUMOylation of METTL3 does not alter its stability, localization and interaction with METTL14 and WTAP, but significantly represses its m6A methytransferase activity resulting in the decrease of m6A levels in mRNAs. Consistently with this, the abundance of m6A in mRNAs is increased with re-expression of the mutant METTL3-4KR compared to that of wild-type METTL3 in human non-small cell lung carcinoma (NSCLC) cell line H1299-shMETTL3, in which endogenous METTL3 was knockdown. The alternation of m6A in mRNAs and subsequently change of gene expression profiles, which are mediated by SUMOylation of METTL3, may directly influence the soft-agar colony formation and xenografted tumor growth of H1299 cells. Our results uncover an important mechanism for SUMOylation of METTL3 regulating its m6A RNA methyltransferase activity.

Mechanism of polaritons coupling from perspective of equivalent MLC circuits model in slit arrays.

Magnetic polariton is a significant mode in tailoring thermal radiative properties with micro/nanostructures metamaterials and can be explained by equivalent inductor-capacitor circuit model. However, the equivalent inductor-capacitor circuit model is out of operation when the magnetic polariton resonance frequency is close to the surface plasmon polariton excitation frequency and cases of oblique incidence. In this work, we present a mutual inductor-inductor-capacitor circuit model to describe magnetic polariton resonance conditions. The mechanism of coupling between the surface plasmon polariton and magnetic polariton is explained from the perspective of equivalent circuits. The interaction between the surface plasmon polariton and magnetic polariton is studied and considered as a mutual inductance in the MLC circuit model. This model is still applicable in the case of oblique incidence. Slit arrays with different geometric parameters and incident angles are calculated to verify the rationality of the mutual inductor-inductor-capacitor circuit model. This study may allow us to predict features and parameters and achieve tailoring of the thermal radiative properties of the micro/nano-structures metamaterials.

Detection and quantification of Aeromonas schubertii in Channa maculata by TaqMan MGB probe fluorescence real-time quantitative PCR.

Aeromonas schubertii is a major epidemiological agent that threatens cultured snakeheads (Channidae) and has caused great economic losses in fish-farming industries in China in recent years. In present study, a specific TaqMan minor groove binder (MGB) probe fluorescence real-time quantitative PCR (qPCR) assay was developed to rapidly detect and quantify A. schubertii. A pair of qPCR primers and a TaqMan MGB probe were selected from the rpoD gene, which were shown to be specific for A. schubertii. A high correlation coefficient (R2  = 0.9998) in a standard curve with a 103% efficiency was obtained. Moreover, the qPCR method's detection limit was as low as 18 copies/µl, which was 100 times more sensitive than that of conventional PCR. The detection results for the A. schubertii in pond water and fish tissue were consistent with those of the viable counts. Bacterial load changes detected by qPCR in different tissues of snakeheads infected with A. schubertii showed that the gills and intestines may be the entry for A. schubertii, and the spleen and kidney are major sites for A. schubertii replication. The established method in present study should be a useful tool for the early surveillance and quantitation of A. schubertii.

Simple and fast approach to exploit the spectral reflection properties of liquid media.

Bidirectional reflectance distribution functions (BRDFs) are of importance for their wide applications. In this study, we presented a simple and fast approach to measure the spectral BRDF of both solid and liquid samples. Based on this approach, we fabricated a prototype and measured the BRDF value of some liquid samples such as water and NaCl solution at different wavelengths. According to the experimental data, we discussed the trend of the BRDF value of the NaCl solution of different concentrations. Then, the experimental data of the different NaCl solution at 637 nm were used to invert the parameters of a five-parameter model. Additionally, we fitted the parameters as a polynomial.

Nanoparticle-crystal towards an absorbing meta-coating.

In this paper, a double layer nanoparticle-crystal has been proposed, which shown incident and polarization angle, substrate independences for spectral absorptivity. Such phenomenon originates from the near-field light redistribution and excitation of internal collective oscillating. This kind of nanoparticle-crystal can be made of various types of metal with similar optical responses. A three oscillators mode has been proposed in this paper to understand the shift between global and internal collective oscillating, and verify the physical picture demonstrated. That kind of near-field redistribution result in a prototype of novel meta-coating, and facilitates the large scale application of metamaterial.

Responses transition in a monolayer Al-Al2O3 nanoparticle-crystal due to oxidation.

Nanoparticle is a promising candidate for large scale fabrication of metamaterial. However, optical responses for metamaterial made of abound metal like Al can be thoroughly changed due to oxidization. Especially for nanoparticle whose aspect ratio is extremely high, oxidation usually occurs. So to understand how the responses shift in a nanoparticle system due to oxidization is essential for large scale application of metamaterial. In this paper, we have concluded and quantified two general principles describing this transition in a monolayer Al-Al2O3 nanoparticle-crystal, which can be used in a thermophotovoltaic system. Square pattern, in which the unit of changing crystal is a square cell made up of Al and Al2O3 particles, is firstly demonstrated. A double oscillators model has been proposed to understand the interference between different absorption modes and their coupling. Using near-field distribution, equivalent inductor-capacitor model and dispersion relationship of surface Plasmon polariton, we have distinguished the resonance modes, concluded the transition principles in a simple case. Then the two principles are applied in a larger cell to verify its university. After detailed demonstration of symmetric square pattern, models and principles are extrapolated to more complex non-symmetric systems. The basic understanding gained here will help the design of robust large-scale metamaterial.

[Er3+:Yb3+ co-doped nanocrystals BaGd2ZnO5 of up-conversion optical temperature sensing].

By far, the most efficient upconversion nanocrystals luminescence materials BaGd2ZnO5: 4%Yb3+ , 1%Er3+, with stable chemical performance, were prepared by using Sol-gel method. XRD pattern shows that the sample is pure phase, belongs to the orthogonal crystals, and space group is Pbnm; SEM micrograph shows that the prepared sample of the morphology sized around 150 nm is evenly distributed. Samples with 971 nm semiconductor laser excitation produce a strong green emission, visible to the naked eye, and uponversion strength and pump energy relation n = 1.22 is two-photon for the realization of the upconversion emission. They originated from Er3+ ions 2H(11/2)--2H(11/2)-->4I(15/2) and 4S(3/2)-->4I(15/2) transition emission, Er3+ ions main excited state absorption (ESA) process is: 4I(15/2)-->4I(11/2)-->2F(7/2)-->2H(11/2), 4S(3/2), Yb3+ was added because of its large absorption cross section (10(4) cm(-1)) so that it is easy to transfer excitation energy to the E3+ ions which enhance the layout particles number and the energy state of the 1F7/2, thereby enhancing the intensity of the peaks of the spectrum. Fluorescence intensity ratio (FIR) technique based on the green upconversion emission of the sample has been studied because the Er3+ ions 2H(11/2) and 4S(3/2) energy level spacing is small. The electrons at the two levels conform to the Boltzmann distribution which is a function of temperature, and thus the fluorescence intensity ratio of two levels can be used to measure the temperature of the substrate material. This method does not interfere with temperature field of the measured object, and can eliminate the uncertainty of the accuracy; the test has a wide temperature range and reasonable temperature resolution, the pump source used is simple, convenient and inexpensive, and has more commercial values. The temperature range of the samples is from 350 to 800 K, and the highest temperature measuring sensitivity can reach 0.0031 K(1). At the same time, under low excitation density, it can produce higher conversion transmission power, making it become ideal material for distance non-contact temperature measurement.

A multimodal lithium niobate-based SAW gas sensor for accurate detection of carbon dioxide at elevated temperature.

Carbon dioxide (CO2) detection is crucial for safety control, monitoring of the environment, and other industrial applications. The diverse fields of applications make the detection of CO2 a challenging task. In this paper, a study on a multimodal surface acoustic wave (SAW) CO2 sensing system was conducted to scrutinize the sensitivity of the lithium niobate-based multimodal SAW sensor towards CO2 with temperature compensation. The study focused on developing and evaluating a SAW temperature-compensated gas sensor using time-of-flight measurements. The sensor exhibited good repeatability and sensitivity toward different concentrations of CO2.

Hollow Bowl NiS2 @polyaniline Conductive Linker/Graphene Conductive Network: A Triple Composite for High-Performance Supercapacitor Applications.

The achievement of the outstanding theoretical capacitance of nickel sulfide (NiS2 ) is challenging due to its low conductivity, slow electrochemical kinetics, and poor structural stability. In this study, we utilize polyaniline (PANI) as a linker to anchor the NiS2 with a hollow bowl-like structure, uniformly dispersed at the surface of graphene oxide (GO)(NiS2 @15PG). The presence of PANI provides growth sites, resulting in a uniform and dense arrangement of NiS2 . This morphological modulation of NiS2 increases the contact area between the active material to electrolyte. Additionally, PANI effectively connects NiS2 with the conductive network of GO, which advances the electrical conductivity and ion diffusion properties. As a result, the Rct (charge transfer resistance) and Zw (Warburg impedance) of NiS2 @15PG decrease by 82.61 % and 66.76 % respectively. This unique structure confers NiS2 @15PG with high specific capacitance (536.13 C g-1 at 1 A g-1 ) and excellent multiplicative property of 60.93 % at 20 A g-1 . The assembled NiS2 @15PG//YP-50 supercapacitors (HSC) demonstrates an energy density (13.09 Wh kg-1 ) at a high-power density (16 kW kg-1 ). The capacity retention after 10,000 cycles at 5 A g-1 is 86.59 %, indicating its significant potential for practical applications.

Research on Stacked Piezoelectric Cymbal Vibrator.

As demand for haptic feedback increases, piezoelectric materials have become one of the best candidate materials due to their small size, high electromechanical coupling coefficient, and fast response. A stacked piezoelectric cymbal vibrator is proposed based on the common cymbal-type transducer, which is composed of a piezoelectric stack to drive and a cymbal disk to amplify displacement. A coupling theoretical model between the piezoelectric stack and the cymbal-type structure is established. The longitudinal and radial displacements of the stacked piezoelectric cymbal vibrator are calculated in the low frequency range (<1000 Hz) by the theoretical model and the finite element method. The theoretical and numerical results are in good agreement. The results show that the radial displacement can be converted into longitudinal displacement and then effectively amplified by the cymbal disk with an amplification ratio of 30. The feature is conducive to its widespread application in the field of consumer electronics.

[Development of mortality prediction model for critically ill patients based on multidimensional and dynamic clinical characteristics].

OBJECTIVE: To develop a mortality prediction model for critically ill patients based on multidimensional and dynamic clinical data collected by the hospital information system (HIS) using random forest algorithm, and to compare the prediction efficiency of the model with acute physiology and chronic health evaluation II (APACHE II) model. METHODS: The clinical data of 10 925 critically ill patients aged over 14 years old admitted to the Third Xiangya Hospital of Central South University from January 2014 to June 2020 were extracted from the HIS system, and APACHE II scores of the critically ill patients were extracted. Expected mortality of patients was calculated according to the death risk calculation formula of APACHE II scoring system. A total of 689 samples with APACHE II score records were used as the test set, and the other 10 236 samples were used to establish the random forest model, of which 10% (n = 1 024) were randomly selected as the validation set and 90% (n = 9 212) were selected as the training set. According to the time series of 3 days before the end of critical illness, the clinical characteristics of patients such as general information, vital signs data, biochemical test results and intravenous drug doses were selected to develope a random forest model for predicting the mortality of critically ill patients. Using the APACHE II model as a reference, receiver operator characteristic curve (ROC curve) was drawn, and the discrimination performance of the model was evaluated through the area under the ROC curve (AUROC). According to the precision and recall, Precision-Recall curve (PR curve) was drawn, and the calibration performance of the model was evaluated through the area under the PR curve (AUPRC). Calibration curve was drawn, and the consistency between the predicted event occurrence probability of the model and the actual occurrence probability was evaluated through the calibration index Brier score. RESULTS: Among the 10 925 patients, there were 7 797 males (71.4%) and 3 128 females (28.6%). The average age was (58.9±16.3) years old. The median length of hospital stay was 12 (7, 20) days. Most patients (n = 8 538, 78.2%) were admitted to intensive care unit (ICU), and the median length of ICU stay was 66 (13, 151) hours. The hospitalized mortality was 19.0% (2 077/10 925). Compared with the survival group (n = 8 848), the patients in the death group (n = 2 077) were older (years old: 60.1±16.5 vs. 58.5±16.4, P < 0.01), the ratio of ICU admission was higher [82.8% (1 719/2 077) vs. 77.1% (6 819/8 848), P < 0.01], and the proportion of patients with hypertension, diabetes and stroke history was also higher [44.7% (928/2 077) vs. 36.3% (3 212/8 848), 20.0% (415/2 077) vs. 16.9% (1 495/8 848), 15.5% (322/2 077) vs. 10.0% (885/8 848), all P < 0.01]. In the test set data, the prediction value of random forest model for the risk of death during hospitalization of critically ill patients was greater than that of APACHE II model, which showed by that the AUROC and AUPRC of random forest model were higher than those of APACHE II model [AUROC: 0.856 (95% confidence interval was 0.812-0.896) vs. 0.783 (95% confidence interval was 0.737-0.826), AUPRC: 0.650 (95% confidence interval was 0.604-0.762) vs. 0.524 (95% confidence interval was 0.439-0.609)], and Brier score was lower than that of APACHE II model [0.104 (95% confidence interval was 0.085-0.113) vs. 0.124 (95% confidence interval was 0.107-0.141)]. CONCLUSIONS: The random forest model based on multidimensional dynamic characteristics has great application value in predicting hospital mortality risk for critically ill patients, and it is superior to the traditional APACHE II scoring system.

Oxygen vacancies-rich Cu-W18O49 nanorods supported on reduced graphene oxide for electrochemical reduction ofN2to NH3.

High-performance nitrogen fixation is severely limited by the efficiency and selectivity of a catalyst of electrochemical nitrogen reduction reaction (NRR) under ambient conditions. Here, the RGO/WOCu (reduced graphene oxide and Cu-doping W18O49) composite catalysts with abundant oxygen vacancies are prepared by the hydrothermal method. The obtained RGO/WOCu achieves an enhanced NRR performance (NH3 yield rate:11.4 µg h-1 mgcat-1, Faradaic efficiency: 4.4%) at -0.6 V (vs. RHE) in 0.1 mol L-1 Na2SO4 solution. Furthermore, the NRR performance of the RGO/WOCu still keeps at 95% after four cycles, demonstrating its excellent stability. The Cu+-doping increases the concentration of oxygen vacancies, which is conducive to the adsorption and activation of N2. Meanwhile, the introduction of RGO further improves the electrical conductivity and reaction kinetics of the RGO/WOCu due to the high specific surface area and conductivity. This work provides a simple and effective method for efficient electrochemical reduction ofN2.

[Effects of early application of Tuina treatment on quadriceps surface myoelectricity in patients after total knee arthroplasty: a randomized controlled trial].

BACKGROUND: Total knee replacement surgery is commonly used in end-stage diseases of the knee. It is important for improving surgical efficacy and patient satisfaction by promoting early rehabilitation of patients and improving knee function. OBJECTIVE: To observe the effects of early application of Tuina treatment on quadriceps surface electromyography (EMG) in patients with rheumatoid arthritis having undergone total knee arthroplasty. DESIGN, SETTING, PARTICIPANTS AND INTERVENTION: The study was performed at the Orthopedic Department of Huashan Hospital, Fudan University, and the Shanghai Guanghua Hospital of Integrated Traditional Chinese and Western Medicine from June 2010 to September 2011. A total of 66 patients with rheumatoid arthritis who had undergone total knee replacement surgery were randomly divided into control group and observation group, 33 cases in each. The patients in the control group were administered with continuous passive training (CPM), and the patients in the observation group were treated with CPM combined with Tuina, from prior surgery to four weeks post-surgery. MAIN OUTCOME MEASURES: The knee function was evaluated using the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) questionnaire at baseline and 4 weeks after the surgery. Quadriceps surface EMG was also detected at the same time points. RESULTS: After 4 weeks of Tuina and comprehensive rehabilitation intervention, the WOMAC questionnaire score of the observation group was decreased compared with the control group (P<0.01); median frequency and integrated electromyography of the rectus femoris and vastus medialis muscles, which were recorded by EMG, in the observation group were higher than those in the control group (P<0.01). CONCLUSION: Tuina can improve the recovery of patients who have undergone total knee replacement by increasing quadriceps EMG.

Growth of wafer-scale graphene-hexagonal boron nitride vertical heterostructures with clear interfaces for obtaining atomically thin electrical analogs.

Two-dimensional (2D) integrated circuits based on graphene (Gr) heterostructures have emerged as next-generation electronic devices. However, it is still challenging to produce high-quality and large-area Gr/hexagonal boron nitride (h-BN) vertical heterostructures with clear interfaces and precise layer control. In this work, a two-step metallic alloy-assisted epitaxial growth approach has been demonstrated for producing wafer-scale vertical hexagonal boron nitride/graphene (h-BN/Gr) heterostructures with clear interfaces. The heterostructures maintain high uniformity while scaling up and thickening. The layer number of both h-BN and graphene can be independently controlled by tuning the growth process. Furthermore, conductance measurements confirm that electrical hysteresis disappears on h-BN/Gr field-effect transistors, which is attributed to the h-BN dielectric surface. Our work blazes a trail toward next-generation graphene-based analog devices.

A dose-response study in mice of a tetravalent recombinant dengue envelope domain III protein secreted from insect cells.

BACKGROUND: DENV is the most globally prevalent mosquito-transmitted virus. Induction of a broadly and potently immune response is desirable for dengue vaccine development. METHODS: Several formulations of secreted tetravalent EDIII protein containing different amounts of antigen from eukaryotic cells were used to evaluate the immune responses in mice. RESULTS: We demonstrated that the tetravalent protein induced humoral immunity against all four serotypes of DENV, even at the lowest dose assayed. Besides, cellular immunities against DENV-1 and DENV-2 were elicited by medium dose group. Importantly, the immune responses induced by the tetravalent protein were functional in clearing DENV-2 in circulation of mice. CONCLUSIONS: We believe that the tetravalent secreted EDIII protein is a potential vaccine candidate against DENV and suggest further detailed studies of this formulation in nonhuman primates.