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This paper presents a fast focusing inversion algorithm of magnetic data based on the conjugate gradient method, which can be used to describe the underground target geologic body efficiently and clearly. The proposed method realizes an effect similar to matrix compression by changing the computation order, calculating the inner product of vectors and equivalent expansion of expressions. Model tests show that this strategy successfully reduces the computation time of a single iteration of the conjugate gradient method, so the three-dimensional magnetic data inversion is realized under a certain number of iterations. In this paper, the detailed calculation steps of the proposed inversion method are given, and the effectiveness and high efficiency of the proposed fast focusing inversion method are verified by three theoretical model tests and a set of measured data. Finally, the fast focus inversion algorithm is applied to the magnetic data of Gonghe Basin, Qinghai Province, to describe the spatial distribution range of deep hot dry rock, which provides a direction for the continuous exploration of geothermal resources in this area. [ABSTRACT FROM AUTHOR]

Sugarcane (Saccharum spp.), a leading sugar and energy crop, is seriously impacted by drought stress. However, the molecular mechanisms underlying sugarcane drought resistance, especially the functions of epigenetic regulators, remain elusive. Here, we show that a S. spontaneum KDM4/JHDM3 group JmjC protein, SsJMJ4, negatively regulates drought-stress responses through its H3K27me3 demethylase activity. Ectopic overexpression of SsJMJ4 in Arabidopsis reduced drought resistance possibly by promoting expression of AtWRKY54 and AtWRKY70 , encoding two negative regulators of drought stress. SsJMJ4 directly bound to AtWRKY54 and AtWRKY70 , and reduced H3K27me3 levels at these loci to ensure their proper transcription under normal conditions. Drought stress down-regulated both transcription and protein abundance of SsJMJ4, which was correlated with the reduced occupancy of SsJMJ4 at AtWRKY54 and AtWRKY70 chromatin, increased H3K27me3 levels at these loci, as well as reduced transcription levels of these genes. In S. spontaneum , drought stress-repressed transcription of SsWRKY122 , an ortholog of AtWRKY54 and AtWRKY70 , was associated with increased H3K27me3 levels at these loci. Transient overexpression of SsJMJ4 in S. spontaneum protoplasts raised transcription of SsWRKY122 , paralleled with reduced H3K27me3 levels at its loci. These results suggest that the SsJMJ4-mediated dynamic deposition of H3K27me3 is required for an appropriate response to drought stress. [ABSTRACT FROM AUTHOR]

The axially-split phase spherical bearingless flywheel machine (ASP-SBFM) operates mostly in fast charging and discharging conditions. The unique topology design and high power density of the ASP-SBFM can lead to complex machine losses and result in high-temperature rise. This article employs magneto-thermal coupling to perform an accurate analysis of the temperature field distribution of the ASP-SBFM. First, as the heat source for machine temperature rise, the ASP-SBFM losses are analyzed in detail. And the theoretical calculation results agree well with the FEA results. Then, the magneto-thermal coupling method is conducted to obtain the accurate temperature distribution of ASP-SBFM, where both natural cooling and high vacuum conditions are considered. The temperature distribution results can provide a reference for machine heat dissipation design, topology optimization, and machine body material selection. [ABSTRACT FROM AUTHOR]

Chronic obstructive pulmonary disease (COPD) is a chronic, progressive, and lethal lung disease with few treatments. Formononetin (FMN) is a clinical preparation extract with extensive pharmacological actions. However, its effect on COPD remains unknown. This study aimed to explore the effect and underlying mechanisms of FMN on COPD. A mouse model of COPD was established by exposure to cigarette smoke (CS) for 24 weeks. In addition, bronchial epithelial BEAS‐2B cells were treated with CS extract (CSE) for 24 h to explore the in vitro effect of FMN. FMN significantly improved lung function and attenuated pathological lung damage. FMN treatment reduced inflammatory cell infiltration and pro‐inflammatory cytokines secretion. FMN also suppressed apoptosis by regulating apoptosis‐associated proteins. Moreover, FMN relieved CS‐induced endoplasmic reticulum (ER) stress in the mouse lungs. In BEAS‐2B cells, FMN treatment reduced CSE‐induced inflammation, ER stress, and apoptosis. Mechanistically, FMN downregulated the CS‐activated AhR/CYP1A1 and AKT/mTOR signaling pathways in vivo and in vitro. FMN can attenuate CS‐induced COPD in mice by suppressing inflammation, ER stress, and apoptosis in bronchial epithelial cells via the inhibition of AhR/CYP1A1 and AKT/mTOR signaling pathways, suggesting a new therapeutic potential for COPD treatment. [ABSTRACT FROM AUTHOR]

A tone mapping operator (TMO) is a module in the image signal processing pipeline that is used to convert high dynamic range images to low dynamic range images for display. Currently, state-of-the-art TMOs typically take complex algorithms and are implemented on graphics processing units, making it difficult to run with low latency on edge devices, and TMOs implemented in hardware circuits often lack additional noise suppression because of latency and hardware resource constraints. To address these issues, we proposed a low-latency noise-aware TMO for hardware implementation. Firstly, a locally weighted guided filter is proposed to decompose the luminance image into a base layer and a detail layer, with the weight function symmetric concerning the central pixel value of a window. Secondly, the mean and standard deviation of the basic layer and the detail layer are used to estimate the noise visibility according to the human visual characteristics. Finally, the gain for the detail layer is calculated to achieve adaptive noise suppression. In this process, luminance is first processed by the log2 function before being filtered and then symmetrically converted back to the linear domain by the exp2 function after compression. Meanwhile, the algorithms within the proposed TMO were optimized for hardware implementation to minimize latency and cache, achieving a low latency of 60.32 μ s under video specification of 1080 P at 60 frames per second and objective metric smoothness in dark flat regions could be improved by more than 10% compared to similar methods. [ABSTRACT FROM AUTHOR]

Deep neural network model extraction attack is the process of retraining a surrogate model based on the outputs of a target model with a given set of inputs. Such attacks are hard to defend for the sake of model owners' interest. Recently, some work propose model watermarking scheme for image processing networks, which is able to prove the intellectual property of deep models even after the model extraction attack. This scheme makes sure that, once the target model (an image processing network) is watermarked, we can extract the watermark from the output of the surrogate model. In this paper, we propose a new model extraction attack scheme to fight against the latest method. Instead of directly using the output images of a target model, we propose to use their reconstructed versions for model retraining, where an asymmetrical UNet is proposed for image reconstruction. To thoroughly remove the watermarking traces, we propose and incorporate a referenced subspace attention module in the asymmetrical UNet, which removes the watermark by projecting the outputs of the target model into the subspaces of the reference image. Various experiments demonstrate the effectiveness of our attack. [ABSTRACT FROM AUTHOR]

SUMMARY: The characterization of cis‐regulatory DNA elements (CREs) is essential for deciphering the regulation of gene expression in eukaryotes. Although there have been endeavors to identify CREs in plants, the properties of CREs in polyploid genomes are still largely unknown. Here, we conducted the genome‐wide identification of DNase I‐hypersensitive sites (DHSs) in leaf and stem tissues of the auto‐octoploid species Saccharum officinarum. We revealed that DHSs showed highly similar distributions in the genomes of these two S. officinarum tissues. Notably, we observed that approximately 74% of DHSs were located in distal intergenic regions, suggesting considerable differences in the abundance of distal CREs between S. officinarum and other plants. Leaf‐ and stem‐dependent transcriptional regulatory networks were also developed by mining the binding motifs of transcription factors (TFs) from tissue‐specific DHSs. Four TEOSINTE BRANCHED 1, CYCLOIDEA, and PCF1 (TCP) TFs (TCP2, TCP4, TCP7, and TCP14) and two ethylene‐responsive factors (ERFs) (ERF109 and ERF03) showed strong causal connections with short binding distances from each other, pointing to their possible roles in the regulatory networks of leaf and stem development. Through functional validation in transiently transgenic protoplasts, we isolate a set of tissue‐specific promoters. Overall, the DHS maps presented here offer a global view of the potential transcriptional regulatory elements in polyploid sugarcane and can be expected to serve as a valuable resource for both transcriptional network elucidation and genome editing in sugarcane breeding. Significance Statement: Whole genome‐wide open chromatin maps were constructed in the auto‐octoploid species Saccharum officinarum. We revealed that distal open chromatin was prevalent in sugarcane. Leaf‐ and stem‐specific promoters were isolated, which can be expected to serve as a valuable resource for both transcriptional network elucidation and genome editing in sugarcane breeding. [ABSTRACT FROM AUTHOR]

Background: Pre-exposing plants to abiotic stresses can induce stress memory, which is crucial for adapting to subsequent stress exposure. Although numerous genes involved in salt stress response have been identified, the understanding of memory responses to salt stress remains limited. Results: In this study, we conducted physiological and transcriptional assays on maize plants subjected to recurrent salt stress to characterize salt stress memory. During the second exposure to salt stress, the plants exhibited enhanced salt resistance, as evidenced by increased proline content and higher POD and SOD activity, along with decreased MDA content, indicative of physiological memory behavior. Transcriptional analysis revealed fewer differentially expressed genes and variations in response processes during the second exposure compared to the first, indicative of transcriptional memory behavior. A total of 2,213 salt stress memory genes (SMGs) were identified and categorized into four response patterns. The most prominent group of SMGs consisted of genes with elevated expression during the first exposure to salt stress but reduced expression after recurrent exposure to salt stress, or vice versa ([+ / −] or [− / +]), indicating that a revised response is a crucial process in plant stress memory. Furthermore, nine transcription factors (TFs) (WRKY40, WRKY46, WRKY53, WRKY18, WRKY33, WRKY70, MYB15, KNAT7, and WRKY54) were identified as crucial factors related to salt stress memory. These TFs regulate over 53% of SMGs, underscoring their potential significance in salt stress memory. Conclusions: Our study demonstrates that maize can develop salt stress memory, and the genes identified here will aid in the genetic improvement of maize and other crops. [ABSTRACT FROM AUTHOR]

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In this text, the new crystal forms of geffitinib were explored through evaporation solution crystallization experiment. The formation of salts was confirmed by the single crystal X-ray diffraction, powder X-ray diffraction, thermo gravimetric analysis and differential scanning calorimetry, Raman spectroscopy, hot-stage microscopy and Hirshfeld surface analysis. Furthermore, Hirshfeld surface analysis confirmed that the driving force and supporting force for the formation of crystals were C-C, C-H, N-H, H-H, O-H and Cl-H interactions. The dissolution rate of the new salts of gefitinib in phosphate buffer of pH 6.8 was evaluated, and the results showed a significant increase in solubility. [ABSTRACT FROM AUTHOR]

Aiming at the problem of unstable output power of wireless charging systems for autonomous underwater vehicles (AUVs), a magnetic coupler (MC) with an arc-shaped core structure is introduced and an output power stabilization control strategy based on mutual inductance identification algorithm is proposed. Firstly, an arc-shaped MC with high tolerances, excellent magnetic coupling and weak electromagnetic interference (EMI) is designed for the cylinder-shaped AUV. Based on ANSYS Maxwell simulation, an analysis of the magnetic field and comparative misalignment tests are carried out for the arc-shaped and the double dipole core structures. Secondly, a mathematical model of the LCC-S type magnetically coupled resonant wireless power transfer (MCR-WPT) system is developed, and a particle swarm parameter identification algorithm with adaptive inertia weights is proposed. Finally, the output power is steadily controlled by real-time adaptation of the duty cycle for the Buck-Boost circuit. The results show there is a maximum error within 2.5% in mutual inductance identification when the load is changed from 0 Ω to 12 Ω and the mutual inductance is changed from 25 μH to 50 μH. The system output power is steady at around 680 W with a maximum fluctuation rate of 4.90%, which verifies the efficiency of the power stabilization control strategy. [ABSTRACT FROM AUTHOR]

The aerodynamic characteristics of the foil undergoing the coexisting of fast and slow pitching have been studied via Immersed Boundary (IB) method. With an adjustable parameter k , the foil kinematics is defined by making the period corresponding to the positive amplitude faster than that corresponding to the negative amplitude, and vice versa. An opposite scenario is observed at k < 0. 5 and k > 0. 5 , where the positive lift is improved via decreasing k at k < 0. 5 but the negative lift enlarges with increasing k at k > 0. 5 , which is of benefit to generate up-burst and dive of the pitching foil, respectively. The lift generation is investigated with the time history of the lift coefficient and the time-mean streamwise velocity, which renders a physical basis for understanding the behavior of flying animals. [ABSTRACT FROM AUTHOR]

In recent years, advances in deep learning have boosted the practical development, distribution and implementation of deep neural networks (DNNs). The concept of symmetry is often adopted in a deep neural network to construct an efficient network structure tailored for a specific task, such as the classic encoder-decoder structure. Massive DNN models are diverse in category, quantity and open source frameworks for implementation. Therefore, the retrieval of DNN models has become a problem worthy of attention. To this end, we propose a new idea of generating perceptual hashes of DNN models, named HNN-Net (Hash Neural Network), to index similar DNN models by similar hash codes. The proposed HNN-Net is based on neural graph networks consisting of two stages: the graph generator and the graph hashing. In the graph generator stage, the target DNN model is first converted and optimized into a graph. Then, it is assigned with additional information extracted from the execution of the original model. In the graph hashing stage, it learns to construct a compact binary hash code. The constructed hash function can well preserve the features of both the topology structure and the semantics information of a neural network model. Experimental results demonstrate that the proposed scheme is effective to represent a neural network with a short hash code, and it is generalizable and efficient on different models. [ABSTRACT FROM AUTHOR]

Nowadays, robust watermark is widely used to protect the copyright of multimedia. Robustness is the most important ability for watermark in application. Since the watermark attacking algorithm is a good way to promote the development of robust watermark, we proposed a new method focused on destroying the commercial watermark. At first, decorrelation and desynchronization are used as the preprocessing method. Considering that the train set of thousands of watermarked images is hard to get, we further use the Bernoulli sampling and dropout in network to achieve the training instance extension. The experiments show that the proposed network can effectively remove the commercial watermark. Meanwhile, the processed image can result in good quality that is almost as good as the original image. [ABSTRACT FROM AUTHOR]

In this paper, two new Rivaroxaban crystalline forms are reported and characterized by the single‐crystal X‐ray diffraction (SXRD), powder X‐ray diffraction (PXRD), thermogravimetric analysis, and differential scanning calorimetry (TGA/DSC), which are synthesized with formic acid and acetic acid, named as forms F and G, respectively. The intermolecular forces for forms F and G are analyzed by Hirshfeld surface analysis method, showing that the force of O···H is significantly stronger than that of H···H. Furthermore, the stability, solubility, and bioavailability of the two crystal forms are also studied. The clinical experiments show that form F is more effective than other reported crystal forms in inhibiting the activity of thrombin and thrombosis, which is expected to replace the marketed crystalline forms in clinical application. [ABSTRACT FROM AUTHOR]

This article proposes a topology of special axial split phase (ASP) bearingless switched reluctance (BSR) machine for flywheel applications named ASP-bearingless flywheel (ASP-BF) machine, which adopts hybrid-inner-stator permanent magnet (PM) structure and exhibits complete decoupling of torque and radial suspension force, four degrees-of-freedom (DOF) actively controlled suspension, high torque and radial force density. The topologies of conventional radial split phase (RSP)-BSR machines and the proposed ASP-BF machine are comparatively investigated. It is found that problems of conventional RSP-BSR machines, i.e., the radial suspension force generation dead zone and strong coupling of radial suspension force and torque, can be solved in ASP-BF machines and the suspension DOF can be doubled. Electromagnetic performances, including magnetic field distribution, inductance, torque, radial force are comprehensively investigated. Further, the concept of degree-of-coupling (DOC) is introduced, and the DOCs of the proposed machine and conventional machines are quantitatively analyzed and compared. It shows that the DOC of ASP-BF machine in two cases are 3.41% and 4.05%, less than a quarter of the conventional 8/10 pole machine (22% and 16%) and less than half of the 12/14 pole machine (8.57% and 11.3%). Finally, a 3 kW/100 Wh prototype is built and the experiments proved the validity. [ABSTRACT FROM AUTHOR]

Animated emoji is a kind of GIF image, which is widely used in online social networks (OSN) for its efficiency in transmitting vivid and personalized information. Aiming at realizing covert communication in animated emoji, this paper proposes an improved steganography framework in animated emoji. We propose a self-reference algorithm to improve the steganography security. Meanwhile, the relations between adjacent frames of the cover GIF image are considered to further improve the distortion function. After that we embed the secret message into the GIF image using the popular framework of Syndrome Trellis Coding (STC). Experimental results show that the proposed method can provide better security performances than state-of-the-art works. [ABSTRACT FROM AUTHOR]

In this paper, a novel topology for the flywheel battery is proposed, based on the axial split phase (ASP) bearingless switched reluctance machine (BSRM) concept. The topology and operating principle of the ASP-BSRM are explained, the electromagnetic characteristics, torque, suspension force and coupling performance are analyzed by 3-D finite element analysis (FEA). In order to improve the torque and suspension force of the ASP-BSRM, the single variable method by FEA is adopt to screen out the sensitive structure parameters, and a new multi-objective optimization design mothed based on random forest regression (RFR) and differential evolution (DE) is proposed to optimize the key parameters. The 3-D FEA of the complete system is performed, and simulation results verify the proposed topology overcomes the dead zone of suspension force and realize the decoupling between torque and suspension forces. Besides, the optimized torque and suspension force are improved by 4.15% and 12.91%, respectively. An experimental prototype is built to provide an experimental basis for investigation of the actual operating characteristics. The experimental results of the system are evaluated under different operating conditions and compared with FEA results. [ABSTRACT FROM AUTHOR]

In the U.S. and Canada, Traditional Chinese Medicine (TCM) use has become increasingly common; Chinese immigrants have particularly high rates of TCM use. In this study, we used a cross sectional survey study design to assess the specific types of Traditional Chinese Herbal Medicine (TCHM) used, the concurrent use of TCHM and conventional cancer treatment, and communication with providers about TCHM use, among Chinese immigrant cancer patients in New York City (NYC). We surveyed 114 patients from several community and clinical settings in NYC. The mean age was 63, 59% were female, and 83% originated from mainland China. Breast (18%) and lung (21%) cancer were the most common cancer diagnoses, and 60% were receiving conventional cancer treatment at the time of the survey. 75% reported ever using TCHM since their most recent primary cancer diagnosis. 68% of those who used herbs reported concurrent use of TCHM with conventional cancer treatment. Only 13% of those who used herbs reported sharing TCHM use with a provider, and only 19% reported that a provider had ever discussed TCHM use with them. Our findings demonstrated an alarmingly high rate of concurrent use of TCHM and conventional cancer treatment and low rate of communication with providers about TCHM use. A wide variety of herbs were used, including those with potentially negative interactions with conventional treatment. This study highlights the urgent need for the development of interventions to assist providers and patients in improving communication around this important topic. [ABSTRACT FROM AUTHOR]

Background: A number of studies have investigated the association between reproductive factors and lung cancer risk, however findings are inconsistent. This meta-analysis aimed to evaluate the association between female reproductive factors and lung cancer risk.Methods: We conducted a comprehensive systematic search to identify relevant and eligible studies published before 18th December 2019. Inter-study heterogeneity was assessed using the Q test and I2 statistic. Based on the heterogeneity of each reproductive factor, fixed or random effects models were used to calculate the summary odds ratios (ORs) and 95% confidence intervals (CIs). Subgroup analyses by study design, lung cancer subtypes, smoking status, and ethnicity were also performed.Results: A total of 66 studies with 20 distinct reproductive factors were included in this meta-analysis. Comparing the highest and lowest categories (reference) of each reproductive factor, parity (OR = 0.83, 95% CI = 0.72-0.96), menstrual cycle length (OR = 0.79, 95% CI = 0.65-0.96), and age at first birth (OR = 0.85, 95% CI = 0.74-0.98), were significantly associated with a lower risk of overall lung cancer. On the contrary, non-natural menopause was significantly associated with higher lung cancer risk (OR = 1.52, 95% CI = 1.25-1.86). Among never-smokers, a significant negative association was found between parity and lung cancer risk. Both parity and non-natural menopause were statistically significant in case-control studies.Conclusion: These results suggest that certain reproductive factors may be associated with lung cancer risk. Future studies should further validate the associations, and investigate the underlying mechanisms. [ABSTRACT FROM AUTHOR]

Meso‐macroporous poly (ionic liquids) (MPILs) were successfully synthesized through a novel strategy with P123 (PEO20PPO70PEO20) as the pore‐forming agent and divinylbenzene as crosslinker. Then effects of reaction temperature and the molar ratio of ionic liquid to divinylbenzene (IL to DVB) were systematically investigated together with the morphology and structure of MPILs. It was found the MPILs owned a meso‐macroporous channel‐like structure, large surface area (up to 732 m2/g), large pore volume (1.42 cm3/g) and high thermal stability. Meanwhile, the Brunauer–Emmett–Teller surface of MPILs could be fabricated by adjusting the reaction temperature and especially the IL to DVB molar ratio. In the probe reaction of alkylation of styrene and o‐xylene, a 100% conversion of styrene and 96.4% PXE yield was acquired, and this is more expert than common commercial liquid acid catalyst. This work might develop a novel way for synthesizing porous heterogeneous polymer catalysts in the future and owning a promising future applied in other acidic catalytic reactions. [ABSTRACT FROM AUTHOR]

We aimed to assess a key risk factor for lung cancer, smoking, in a vulnerable group, Chinese livery drivers in New York City (NYC). This is a nested cohort study conducted in the summer/fall of 2014 within a larger NIMHD-funded R24 program, the Taxi Network. The Taxi Network Needs Assessment (TNNA) survey was administered to a broad demographic of drivers. This study reports on the TNNA survey smoking-related results among NYC Chinese livery drivers. 97 drivers participated. Mean age was 44.7 years, 2.1% were English proficient, and 23.4% were living below the poverty line. Most were insured (82.5%), had a PCP (82.5%), and had had a routine check-up within the past year (79%). 73% were current or former smokers. Culturally and linguistically tailored smoking cessation interventions, strategies to mitigate exposure to air pollution, and programs to facilitate lung cancer screening should be developed and implemented for high-risk Chinese livery drivers. [ABSTRACT FROM AUTHOR]

Herein, a novel strategy was proposed for the fabrication of hierarchical porous silica materials templated by a poly ionic liquid (PIL, a copolymer of 1-butyl-3-vinylimidazolium bromide and acrylamide) and P123 (PEO20PPO70PEO20). The PIL acts as a co-solvent as well as a co-template in the system. The effects of the concentration of the PIL and pH on the morphology and structure of silica materials were systematically investigated. Hierarchical porous silica materials were characterized by X-ray diffraction, N2 adsorption–desorption, transmission electron microscopy and Fourier transform infrared (FTIR) spectroscopy. Moreover, the results demonstrated that the porous silica materials were equipped with a dual-mesoporous channel structure and possessed a high surface area and large pore volumes up to 1274 m2 g−1 and 1.41 cm3 g−1, respectively. Furthermore, a high-performance catalyst-based supported ionic liquid phase (SILP) was obtained by surface modification with the IL (1-(tri-ethoxy-silyl-propyl)-3-methylimidazolium chloride) of the carrier and anion exchange with HPW. Catalytic performances were investigated in the alkylation of styrene with o-xylene. Moreover, it was found that the as-synthesized catalysts showed high catalytic performance in terms of styrene conversion and selectivity to 1-phenyl-1-xylyl ethane (PXE). Specifically, the catalyst PIL-1.0g-2-IL-HPW showed excellent activities in both the yield (91.5%) and selectivity (96.8%) for this alkylation reaction. [ABSTRACT FROM AUTHOR]

A novel dual‐phase‐conducted type bearingless switched reluctance flywheel motor is proposed, which has a hybrid outer rotor comprising circular segment and scalloped lamination segment, and only one set of winding is placed on each stator pole. In order to drive the flywheel to accelerate or slow down, two phases of windings in this motor conduct simultaneously. One phase provides radial suspension force, and the other phase provides electromagnetic torque. There exits satisfying decoupling between torque and suspension force. With the circular segment of the rotor, the continuity and stability of radial force can be enhanced. Finite element analysis results confirm the feasibility of the theoretical scheme. [ABSTRACT FROM AUTHOR]

Background. To investigate the hospital-based incidence of FT1D in Chinese children and compare the clinical feature with classical T1DM. Methods. A cross-sectional study with sixteen hospitals involved. We obtained 23 FT1D cases as group 1, acute-onset T1DM as group 2, and typical T1DM as group 3. Results. The incidence of FT1D was 1.56% in 16 participating hospitals. The mean age at the onset of group 1 was 2.00 (1.08, 6.51) years old, much younger than that of group 2 (6.11 (3.92, 9.50)) and group 3 (6.92 (4.17, 10.03)). In addition, significant differences were found between three groups: mean BMI and flu-like symptoms with fever and abdominal pain. Follow-up comparison of three groups from Beijing Children’s Hospital for at least one year showed that there is no significant difference between the three groups in terms of mean HbA1c levels and insulin injection dosages. Conclusion. FT1D onset age is much younger than that of classical T1D patients. The hospital-based incidence of FT1D in Chinese children was 1.56% in all new-onset T1DM. For the diagnosis, making FT1D alone into a subtype within type 1 diabetes may be meaningful. However, for the treatment and prognosis, such classification should not be helpful to the clinic. [ABSTRACT FROM AUTHOR]

Developing the superior electrode materials with large reversible capacity, excellent rate capability and long cycling stability for high-performance lithium-ion batteries (LIBs) is highly desirable for electric vehicles and hybrid electronic vehicles. Herein, three-dimensional N-doped carbon (NC)-coated Zn-Sn mixed oxide (ZTO) cubes dispersed on reduced graphene oxide (ZTO@NC/RGO) composite are synthesized via a facile strategy combined with the hydrothermal treatment and carbonization of conductive polypyrrole. In this unique architecture, the ultrathin NC shells are interconnected through RGO and construct a continuous 3D conductive network, which provides a very efficient channel for electron transport. Furthermore, the flexible and high-conducting reduced graphene oxide and carbon shells can accommodate the mechanical stress induced by the volume change of ZTO cubes during lithiation as well as prohibit the aggregation of ZTO cubes, which would maintain the structural and electrical integrity of the ZTO@NC/RGO electrode during the lithiation/delithiation processes. Benefiting from the advantages of intrinsic architecture, as LIBs anodes, ZTO@NC/RGO exhibits enhanced lithium storage properties, delivering a large specific capacity of 732.8 mAh g at a current density of 100 mA g after 50 cycles, and presenting good rate capability. [ABSTRACT FROM AUTHOR]

Dual-winding bearingless switched reluctance motor (BSRM) is a multivariable high-nonlinear system characterized by strong coupling, and it is not completely reversible. In this paper, a new decoupling control strategy based on improved inverse system method is proposed. Robust servo regulator is adopted for the decoupled plants to guarantee control performances and robustness. A phase dynamic compensation filter is also designed to improve system stability at high-speed. In order to explain the advantages of the proposed method, traditional methods are compared. The tracking and decoupling characteristics as well as disturbance rejection and robustness are deeply analyzed. Simulation and experiments results show that the decoupling control of dual-winding BSRM in both reversible and irreversible domains can be successfully resolved with the improved inverse system method. The stability and robustness problems induced by inverse controller can be effectively solved by introducing robust servo regulator and dynamic compensation filter. [ABSTRACT FROM AUTHOR]

A hybrid double stator bearingless switched reluctance motor with advantages of high suspension output, small loss and weak coupling is presented. This motor can realise electric/power generation and radial two‐degree‐of‐freedom suspension. The biased magnetic field for producing radial force is provided by a permanent magnet, which reduces system power consumption. Self‐decoupling is realised between a torque system and suspension system according to the mechanical structure design. Furthermore, the radial force is approximately constant when the suspension current is constant, thereby improving the controllability of the system. The operation principle is introduced and the electromagnetic characteristics are analysed through the time‐stepping finite element method. This analysis verifies the effectiveness of the theoretical analysis. [ABSTRACT FROM AUTHOR]

The analytical model of a permanent magnet eddy current coupler (PMECC) is mainly used for evaluation of its characteristics and the initial optimization of design. Based on the equivalent magnetic circuit method, this paper carries out analytical modeling for four typical PMECCs composed of surface-mounted and interior permanent magnet, slotted and non-slotted conductor rotors, which provides a theoretical basis for the subsequent research in this paper. The basic electromagnetic characteristics of the PMECCs are investigated by the established analytical model. Simultaneously, the analytical results about permeance, flux density, torque and power are verified by FEA simulation. The analysis results show that the slotted CR will obtain a much higher power density, and the iron loss mainly exists in the CRs. In addition, the analytical and FEA results agree well, which proves the reliability of the proposed, nearly unified analytical model. [ABSTRACT FROM AUTHOR]

In order to improve the suspension and torque performance of a bearingless flywheel machine, a new type of axial split-phase bearingless flywheel machine with a magnetic sleeve and pole-shoe tooth is analyzed and optimized as described in this paper. Based on the basic structure and working characteristics of the machine, the response surface methodology (RSM) and differential evolution (DE) algorithm are adopted to further optimize the parameters of the stator teeth of the machine to improve the radial space utilization and motor output performance. Firstly, the Box–Behnken design (BBD) and finite element analysis (FEA) are combined to select the representative optimization parameter combinations to establish the sample data space, and the response surface models of machine torque and suspension force are established using the least square method. Besides this, the DE algorithm is employed to obtain the optimal tooth profile parameter configuration for the multi-objective optimization of machine performance. Finally, the output performances of the machine before and after optimization are compared under initial and optimized winding turns. The results show that, compared with the initial structure, the average torque and suspension force of the optimized machine increase by 36.46 % and 108.22% respectively, which demonstrates the effectiveness of the tooth profile optimization method. At the same time, an experimental prototype is also produced, laying the experimental foundation for further practical exploration. [ABSTRACT FROM AUTHOR]

The analytical model (AM) of suspension force in a bearingless flywheel machine has model mismatch problems due to magnetic saturation and rotor eccentricity. A numerical modeling method based on the differential evolution (DE) extreme learning machine (ELM) is proposed in this paper. The representative input and output sample set are obtained by finite-element analysis (FEA) and principal component analysis (PCA), and the numerical model of suspension force is obtained by training ELM. Additionally, the DE algorithm is employed to optimize the ELM parameters to improve the model accuracy. Finally, absolute error (AE) and root mean squared error (RMSE) are introduced as evaluation indexes to conduct comparative analyses with other commonly-used machine learning algorithms, such as k-Nearest Neighbor (KNN), the back propagation (BP) algorithm, and support vector machines (SVMs). The results show that, compared with the above algorithm, the proposed method has smaller fitting and prediction errors; the RMSE value is just 22.88% of KNN, 39.90% of BP, and 58.37% of SVM, which verifies the effectiveness and validity of the proposed numerical modeling method. [ABSTRACT FROM AUTHOR]

A heterogeneous catalyst (HPW/mpg‐C3N4) for the alkylation of o‐xylene and styrene reaction was acquired by the immobilization of phosphotungstic acid (HPW) on mesoporous graphitic carbon nitride (mpg‐C3N4) through electrostatic interaction. The results of Fourier transform infrared spectroscopy (FT‐IR), X‐ray powder diffraction (XRD), X‐ray photoelectron spectroscopy (XPS) and thermogravimetric analysis (TGA) proved that HPW was successfully immobilized on the protonated mpg‐C3N4 by electrostatic interaction. The textural properties and morphology of HPW/mpg‐C3N4 were characterized by N2 adsorption–desorption, scanning electron microscopy (SEM). Among them, 40% HPW/mpg‐C3N4 displays the best catalytic performance in the alkylation reaction with 91.8% yield and 96.5% selectivity to 1, 2‐diphenylethylane. Moreover, protonated mpg‐C3N4 not only displays as a support to facilitate great dispersion of HPW but also promotes the alkylation product diffusion effectively. Besides, the HPW/mpg‐C3N4 catalyst could be recycled easily without significant loss of catalytic activity, which is demonstrate by the recyclability of HPW/mpg‐C3N4 catalyst test. [ABSTRACT FROM AUTHOR]

A novel strategy was proposed for the fabrication of high‐performance acidic mesoporous poly ionic liquids catalyst. In this work, mesoporous poly ionic liquids (MPILs) were synthesized with P123 (PEO20PPO70PEO20) served as pore‐forming agent. Then, MPILs were treated with PW3− anion exchange, thereby fabricating PW/MPIL‐S(x). MPIL and PW/MPIL‐S(x) were characterized by scanning electron microscope (SEM), transmission electron microscopy (TEM), Thermogravimetric analysis (TA), N2 adsorption–desorption and Fourier transform infrared (FT‐IR) spectra and X‐ray photoelectron spectroscopy (XPS) spectra. The effect of solvent and concentration of P123 on the morphology and mesoporous structure of MPILs were investigated systematically. And the results show that MPILs were featured with mesoporous channel structure, high surface area (up to 737 m2/g) and large pore volumes (1.16 cm3/g), which benefit heterogeneous phase reaction (such as, alkylation of styrene with o‐xylene). In the alkylation reaction, under optimal reaction conditions, the catalyst PW/MPIL‐THF (4.0 g) shows high conversion of styrene (100%) and PXE yield (96.21%), demonstrating the excellent catalytic activities. Furthermore, PW/MPIL‐S(x) are easy to be separated from the catalytic system by filtration and show no obvious decrease in catalytic activity after 6 cycle runs. The obtained PW/MPIL‐S(x) catalyst exhibit high thermal and mechanical stability as well, indicating extensive application in high temperature acidic catalysis. This work might open up a new method for the synthesizing of porous polymer catalysts in the future. This work could open up a new strategy for controllable synthesis of complex hollow structures and other functional materials. [ABSTRACT FROM AUTHOR]