Triple-path feature transform network for ring-array photoacoustic tomography image reconstruction

Photoacoustic imaging(PAI)is a noninvasive emerging imaging method based on the photoacoustic effect,which provides necessary assistance for medical diagnosis.It has the characteristics of large imaging depth and high contrast.However,limited by the equipment cost and reconstruction time requirements,the existing PAI systems distributed with annular array transducers are difficult to take into account both the image quality and the imaging speed.In this paper,a triple-path feature transform network(TFT-Net)for ring-array photoacoustic tomography is proposed to enhance the imaging quality from limited-view and sparse measurement data.Specifically,the network combines the raw photoacoustic pressure signals and conventional linear reconstruction images as input data,and takes the photoacoustic physical model as a prior information to guide the reconstruction process.In addition,to enhance the ability of extracting signal features,the residual block and squeeze and excitation block are introduced into the TFT-Net.For further efficient reconstruction,the final output of photoacoustic signals uses‘filter-then-upsample’operation with a pixel-shuffle multiplexer and a max out module.Experiment results on simulated and in-vivo data demonstrate that the constructed TFT-Net can restore the target boundary clearly,reduce background noise,and realize fast and high-quality photoacoustic image reconstruction of limited view with sparse sampling.

Analytical Model and Topology Optimization of Doubly-fed Induction Generator

As the core component of energy conversion for large wind turbines,the output performance of doubly-fed induction generators (DFIGs) plays a decisive role in the power quality of wind turbines.To realize the fast and accurate design optimization of DFIGs,this paper proposes a novel hybriddriven surrogate-assisted optimization method.It firstly establishes an accurate subdomain model of DFIGs to analytically predict performance indexes.Furthermore,taking the inexpensive analytical dataset produced by the subdomain model as the source domain and the expensive finite element analysis dataset as the target domain,a high-precision surrogate model is trained in a transfer learning way and used for the subsequent multi-objective optimization process.Based on this model,taking the total harmonic distortion of electromotive force,cogging torque,and iron loss as objectives,and the slot and inner/outer diameters as parameters for optimizing the topology,achieve a rapid and accurate electromagnetic design for DFIGs.Finally,experiments are carried out on a 3MW DFIG to validate the effectiveness of the proposed method.

Zircon SHRIMP U–Pb age of Late Jurassic OIB-type volcanic rocks from the Tethyan Himalaya: constraints on the initial activity time of the Kerguelen mantle plume

This work presents zircon U–Pb age and wholerock geochemical data for the volcanic rocks from the Lakang Formation in the southeastern Tethyan Himalaya and represents the initial activity of the Kerguelen mantle plume. SHRIMP U–Pb dating of zircons from the volcanic rocks yielded a ^(206) Pb/^(238) U age of 147 ± 2 Ma that reflects the time of Late Jurassic magmatism. Whole rock analyses of major and trace elements show that the volcanic rocks are characterized by high content of Ti O_2(2.62 wt%–4.25 wt%) and P_2O_5(0.38 wt%–0.68 wt%), highly fractionated in LREE/HREE [(La/Yb)N= 5.35–8.31] with no obvious anomaly of Eu, and HFSE enrichment with no obvious anomaly of Nb and Ta, which are similar to those of ocean island basalts and tholeiitic basaltic andesites indicating a mantle plume origin. The Kerguelen mantle plume produced a massive amount of magmatic rocks from Early Cretaceous to the present, which widely dispersed from their original localities of emplacement due to the changing motions of the Antarctic, Australian, and Indian plates. However, our new geochronological and geochemical results indicate that the Kerguelen mantle plume started from the Late Jurassic. Furthermore, we suggest that the Kerguelen mantle plume may played a significant role in the breakup of eastern Gondwanaland according to the available geochronological, geochemical and paleomagnetic data.

Tribulus terrestris extracts alleviate muscle damage and promote anaerobic performance of trained male boxers and its mechanisms： Roles of androgen, IGF-1, and IGF binding protein-3

Purpose: To investigate the effects of Tribulus terrestris(TT) extracts on muscle mass, muscle damage, and anaerobic performances of trained male boxers and its mechanisms: roles of plasma androgen, insulin growth factor 1(IGF-1), and IGF-1 binding protein-3(IGFBP-3).Methods: Fifteen male boxers were divided into exercise group(E, n = 7) and exercise plus TT group(E + TT, n = 8). The 2 groups both undertook3-week high-intensity and 3-week high-volume trainings separated by a 4-week rest. TT extracts(1250 mg/day) were orally administered by boxers in E + TT group. TT extract compositions were detected by UHPLC–Q-TOF/MS. Before and at the end of the 2 trainings, muscle mass, anaerobic performance, and blood indicators were explored.Results: Compared with E group, decreases of plasma CK(1591.5 ± 909.6 U/L vs. 2719.9 ± 832.5 U/L) and IGFBP-3(3075.5 ± 1072.5 ng/m L vs. 3950.8 ± 479.3 ng/m L) as well as increases of mean power(MP, 459.4 ± 122.3 W vs. 434.6 ± 69.5 W) and MP/body weight(MP/BW, 7.5 ± 0.9 W/kg vs. 7.1 ± 1.1 W/kg) were detected in E + TT group after a high-intensity training. For high-volume training, reduction of IGFBP-3(2946.4 ± 974.1 ng/m L vs. 3632.7 ± 470.1 ng/m L) and increases of MP(508.7 ± 103.2 W vs. 477.8 ± 49.9 W) and MP/BW(8.2 ± 0.3 W/kg vs.7.5 ± 0.9 W/kg) were detected in E + TT group, compared with E group. Muscle mass, blood levels of testosterone, dihydrotestosterone(DHT),and IGF-1 were not signifiantly changed between the 2 groups.Conclusion: Taking 1250 mg capsules containing TT extracts did not change muscle mass and plasma levels of testosterone, DHT, and IGF-1 but significantly alleviated muscle damage and promoted anaerobic performance of trained male boxers, which may be related to the decrease of plasma IGFBP-3 rather than androgen in plasma.

The sparse array elements selection in sparse imaging of circular-array photoacoustic tomography

Photoacoustic imaging(PAI)has been developed,and photoacoustic computed tomography(PACT)is widely used for in vivo tissue and mouse imaging.Simulated annealing(SA)algorithm solves optimization problems,and compressed sensing(CS)recovers sparse signals from undersampled measurements.We aim to develop an advanced sparse imaging framework for PACT,which invloves the use of SA to¯nd an optimal sparse array element distribution and CS to perform sparse imaging.PACT reconstructions were performed using a dummy and porcine liver phantoms.Compared to traditional sparse reconstruction algorithms,the proposed method recovers signals using few ultrasonic transducer elements,enabling high-speed,low-cost PACT for practical application.

Iterative Learning Controller Design for CNC Machine Tools

The repetitive processing and large quantity of single product represented by 3C products are urgently needed.However,for current processing operations,previous processing data have not been used in the optimization of control input.In order to utilize previous processing data to facilitate the next process and avoid adverse effects caused by repetitive disturbance and noise,the idea of iterative learning was introduced to improve the accuracy of machining.On the control level,since it is difficult to obtain high accuracy by traditional feedback control when faced with complex trajectories,an open⁃loop iterative learning controller and a position loop feedback controller were introduced,which worked fast with good convergence effects.Aiming at reducing the influence of accidental error,step type iterative learning was put forward.The iteration mechanism was stopped when the accuracy converged to the allowable range so as to reduce computational complexity,store the current iterative part of the control input,and make constant value compensation.However,in simulation and experiment,it was found that after superposition of the iterative learning controller,the phenomenon of partial divergence of the system tracking error occurred.Therefore,the speed and acceleration characteristics of input trajectories in time domain and frequency domain were analyzed.High⁃frequency noise was introduced in frequency domain,which was found to be the cause of the abovementioned phenomenon,and high⁃frequency components were filtered to solve the problem.To further improve the accuracy of convergence and avoid filtering effective high⁃frequency information in some area,a switchable filter based on the analysis of the frequency characteristics of input trajectory was proposed.Through SIMULINK simulation and dSPACE experimental verification,it was proved that the iterative learning controller of modifying controlled quantity and filter based iterative learning control method are effective.

Load-forecasting method for IES based on LSTM and dynamic similar days with multi-features

To fully exploit the rich characteristic variation laws of an integrated energy system(IES)and further improve the short-term load-forecasting accuracy,a load-forecasting method is proposed for an IES based on LSTM and dynamic similar days with multi-features.Feature expansion was performed to construct a comprehensive load day covering the load and meteorological information with coarse and fine time granularity,far and near time periods.The Gaussian mixture model(GMM)was used to divide the scene of the comprehensive load day,and gray correlation analysis was used to match the scene with the coarse time granularity characteristics of the day to be forecasted.Five typical days with the highest correlation with the day to be predicted in the scene were selected to construct a“dynamic similar day”by weighting.The key features of adjacent days and dynamic similar days were used to forecast multi-loads with fine time granularity using LSTM.Comparing the static features as input and the selection method of similar days based on non-extended single features,the effectiveness of the proposed prediction method was verified.

基于三维测量的无人艇自动靠泊引导方法研究

Automatic berthing guidance is an important aspect of automated ship technology to obtain the ship-shore position relationship.The current mainstream measurement methods for ship-shore position relationships are based on radar,multisensor fusion,and visual detection technologies.This paper proposes an automated ship berthing guidance method based on three-dimensional(3D)target measurement and compares it with a single-target recognition method using a binocular camera.An improved deep object pose estimation(DOPE)network is used in this method to predict the pixel coordinates of the two-dimensional(2D)keypoints of the shore target in the image.The pixel coordinates are then converted into 3D coordinates through the camera imaging principle,and an algorithm for calculating the relationship between the ship and the shore is proposed.Experiments were conducted on the improved DOPE network and the actual ship guidance performance to verify the effectiveness of the method.Results show that the proposed method with a monocular camera has high stability and accuracy and can meet the requirements of automatic berthing.

乙二醇选择性电氧化用于涤纶树脂的回收利用

聚对苯二甲酸乙二醇酯(涤纶树脂,简称PET)作为一类常见的塑料制品,其回收再利用可以有效减少环境污染和能源消耗,目前主要分为机械与化学两类回收方式。但目前化学回收法仍存在不足,并未广泛应用,主要问题之一是水解产物分离提纯困难。因此,以可再生能源为驱动力,将电催化与PET回收转化相结合,利用镍泡沫作为工作电极使氢氧化钠溶液中的乙二醇逐步氧化为乙醇醛、乙醇酸钠,最终生成易于沉淀分离的草酸钠,从而避免能源大量消耗,提高经济效益。本新创实验实现学科交叉,涉及多种基础实验操作,提升学生综合专业素养。有助于学生了解绿色化学与可持续发展理念,拓展专业视野,激发科学探索兴趣。

High-performance and wavelength-transplantable on-chip Fourier transform spectrometer using MEMS in-plane reconfiguration

On-chip spectrometers with high compactness and portability enable new applications in scientific research and industrial development.Fourier transform(FT)spectrometers have the potential to realize a high signal-to-noise ratio.Here we propose and demonstrate a generalized design for high-performance on-chip FT spectrometers.The spectrometer is based on the dynamic in-plane reconfiguration of a waveguide coupler enabled by an integrated comb-drive actuator array.The electrostatic actuation intrinsically features ultra-low power consumption.The coupling gap is crucial to the spectral resolution.The in-plane reconfiguration surmounts the lithography accuracy limitation of the coupling gap,boosting the resolution to 0.2 nm for dual spectral spikes over a large bandwidth of 100 nm(1.5–1.6μm)within a compact footprint of 75μm×1000μm.Meanwhile,the in-plane tuning range can be large enough for arbitrary wavelengths to ensure the effectiveness of spectrum reconstruction.As a result,the proposed spectrometer can be easily transplanted to other operation bands by simply scaling the structural parameters.As a proof-of-concept,a mid-infrared spectrometer is further demonstrated with a dual-spike reconstruction resolution of 1.5 nm and a bandwidth of 300 nm(4–4.3μm).

An improved master-apprentice evolutionary algorithm for minimum independent dominating set problem

The minimum independent dominance set(MIDS)problem is an important version of the dominating set with some other applications.In this work,we present an improved master-apprentice evolutionary algorithm for solving the MIDS problem based on a path-breaking strategy called MAE-PB.The proposed MAE-PB algorithm combines a construction function for the initial solution generation and candidate solution restarting.It is a multiple neighborhood-based local search algorithm that improves the quality of the solution using a path-breaking strategy for solution recombination based on master and apprentice solutions and a perturbation strategy for disturbing the solution when the algorithm cannot improve the solution quality within a certain number of steps.We show the competitiveness of the MAE-PB algorithm by presenting the computational results on classical benchmarks from the literature and a suite of massive graphs from real-world applications.The results show that the MAE-PB algorithm achieves high performance.In particular,for the classical benchmarks,the MAE-PB algorithm obtains the best-known results for seven instances,whereas for several massive graphs,it improves the best-known results for 62 instances.We investigate the proposed key ingredients to determine their impact on the performance of the proposed algorithm.

iTRAQ-based quantitative analysis of cancer-derived secretory proteome reveals TPM2 as a potential diagnostic biomarker of colorectal cancer

Colorectal cancer （CRC） is a leading cause of cancer-related deaths worldwide. We aimed to find novel molecules as potential biomarkers for the early diagnosis of CRC. A serum-free conditioned medium was successfully collected from three pairs of CRC tissue and adjacent normal tissue, iTRAQ-based quantitative proteomic analysis was applied to compare the differences in secretome between primary CRC mucosa and adjacent normal mucosa. A total of 145 kinds of proteins were identified. Of these proteins, 29 were significantly different between CRC and normal tissue. Tropomyosin 2 p （TPM2） exhibited the most significant differences; as such, this protein was selected for further validation. Quantitative real-time PCR indicated that the mRNA expression of TPM2 significantly decreased in the CRC tissue compared with the paired adjacent normal tissue. Immunohistochemical analysis also confirmed that TPM2 was barely detected at protein levels in the CRC tissue. In summary, this study revealed potential molecules for future biomarker applications and provided an efficient approach for the differential analysis of cancer-associated secretome. TPM2 may be valuable for the early diagnosis of CRC.

Machine learning-based solubility prediction and methodology evaluation of active pharmaceutical ingredients in industrial crystallization

Solubility has been widely regarded as a fundamental property of small molecule drugs and drug candidates,as it has a profound impact on the crystallization process.Solubility prediction,as an alternative to experiments which can reduce waste and improve crystallization process efficiency,has attracted increasing attention.However,there are still many urgent challenges thus far.Herein we used seven descriptors based on understanding dissolution behavior to establish two solubility prediction models by machine learning algorithms.The solubility data of 120 active pharmaceutical ingredients(APIs)in ethanol were considered in the prediction models,which were constructed by random decision forests and artificial neural network with optimized data structure and model accuracy.Furthermore,a comparison with traditional prediction methods including the modified solubility equation and the quantitative structure-property relationships model was carried out.The highest accuracy shown by the testing set proves that the ML models have the best solubility prediction ability.Multiple linear regression and stepwise regression were used to further investigate the critical factor in determining solubility value.The results revealed that the API properties and the solute-solvent interaction both provide a nonnegligible contribution to the solubility value.

Probiotic mixture VSL#3 prevents ulcerative colitis-associated carcinogenesis in mice and cells by regulating the inflammatory and Wnt/β-catenin pathway

To the Editor:Increasing attention is being paid to preventing ulcerative colitis(UC)-associated carcinogenesis.The intestinal microbiota plays an important role in maintaining the intestinal barrier and immune function.Probiotic mixture VSL#3,that was bought from Sigma-Tau pharmaceuticals(De Simone Formulation)in May 2015,is a mixture of Lactobacillus casei,L.plantarum,L.acidophilus,L.delbrueckii subsp.bulgaricus,Bifidobacterium longum,B.breve,B.infantis and Streptococcus salivarius andcontains 4.5 billion live bacterialcolonies.i Previous studies have shown that VSL#3 can help induce and maintain UC remission.The effects of probiotics on UC-associated carcinogenesis are difficult to observe clinically;therefore,mouse models are often used to study this disease.Previous studies have shown that azoxymethane(AOM)combined with dextran sulfate sodium(DSS)can quickly induce a UC-associated carcinogenesis model.

Movement History of the Microcontinents from the Tibetan Plateau Based on Paleomagnetic Results with Sufficient Sampling Units

Paleomagnetic results cannot be applied in global and regional tectonic reconstructions unless the paleosecular variation has been adequately averaged.However,how many sampling sites and samples are enough to calculate a reliable paleopole remains debated.Based on the relation among the sampling sites N,the precision parameter k,the virtual geomagnetic pole scatter s,and the confidence limit A_(95) of the paleopole,we find that 20 sites(samples)or more are required to yield a paleopole with an A_(95)≈5°based on a review of available paleomagnetic results from the Lhasa,Qiangtang and Tethyan Himalaya.Random samplings of Jurassic virtual geomagnetic poles from the Sangri area show that the Fisher mean pole with neglectable angle deviation can be obtained when sampling sites increase to 20.High-quality paleomagnetic results,with sites/samples number N/n≥~20–30,show that the Qiangtang,Lhasa,and Tethyan Himalaya moved northward in the Late Permian–Middle Triassic,Jurassic,and Cretaceous,respectively,and then accreted to Asia in the Late Triassic,Late Jurassic–Early Cretaceous and Paleocene–Early Eocene,respectively.

Orally administered BZL-s RNA-20 oligonucleotide targeting TLR4 effectively ameliorates acute lung injury in mice

The global COVID-19 pandemic emerged at the end of December 2019.Acute respiratory distress syndrome(ARDS)and acute lung injury(ALI)are common lethal outcomes of bacterial lipopolysaccharide(LPS),avian influenza virus,and SARS-Co V-2.Toll-like receptor 4(TLR4)is a key target in the pathological pathway of ARDS and ALI.Previous studies have reported that herbal small RNAs(s RNAs)are a functional medical component.BZL-s RNA-20(Accession number:B59471456;Family ID:F2201.Q001979.B11)is a potent inhibitor of Toll-like receptor 4(TLR4)and pro-inflammatory cytokines.Furthermore,BZLs RNA-20 reduces intracellular levels of cytokines induced by lipoteichoic acid(LTA)and polyinosinic-polycytidylic acid(poly(I:C)).We found that BZL-s RNA-20 rescued the viability of cells infected with avian influenza H5N1,SARS-Co V-2,and several of its variants of concern(VOCs).Acute lung injury induced by LPS and SARS-Co V-2 in mice was significantly ameliorated by the oral medical decoctosome mimic(bencaosome;sphinganine(d22:0)+BZL-s RNA-20).Our findings suggest that BZLs RNA-20 could be a pan-anti-ARDS/ALI drug.

Oral administration of the herbal oligonucleotide XKC-sRNA-h3 prevents angiotensinⅡ-induced hypertension in mice

Hypertension has become a growing public health concern worldwide.In fact,hypertension is commonly associated with increased morbidity and mortality.Currently,oligonucleotide drugs have proven to be promising therapeutic agents for various diseases.In the present study,we aimed to demonstrate that a herbal small RNA(s RNA),XKC-sRNA-h3(B55710460,F221.I000082.B11),exhibits potent antihypertensive effects by targeting angiotensin-converting enzyme(ACE)in mice.When compared with captopril,oral administration of the sphingosine(d18:1)-XKC-s RNA-h3 bencaosome more effectively prevented angiotensin II-induced hypertensive cardiac damage and alleviated kidney injury in mice.Such findings indicated that XKC-sRNA-h3 may be a novel orally available ACE inhibitor type oligonucleotide drug for hypertension.

Does the 2017 global initiative for chronic obstructive lung disease revision really improve the assessment of Chinese chronic obstructive pulmonary disease patients?A multicenter prospective study for more than 5 years

Background:The Global Initiative for Chronic Obstructive Lung Disease(GOLD)2017 proposed a new classification that reclassified many chronic obstructive pulmonary disease(COPD)patients from group D to B.However,there is a paucity of data related to the comparison between reclassified and non-reclassified COPD patients in terms of long-term prognosis.This study aimed to investigate long-term outcomes of them and determine whether the GOLD 2017 revision improved the assessment of COPD patients.Methods:This observational,multicenter,prospective study recruited outpatients at 12 tertiary hospitals in China from November 2016 to February 2018 and followed them up until February 2022.All enrolled patients were classified into groups A toDbased on GOLD 2017,and the subjects in group B included patients reclassified from group D to B(group DB)and those remaining in group B(group BB).Incidence rates and hazard ratios(HRs)were calculated for the exacerbation of COPD and hospitalization in each group.Results:We included and followed up 845 patients.During the first year of follow-up,the GOLD 2017 classification had a better discrimination ability for different risks of COPD exacerbation and hospitalization than GOLD 2013.Group DB was associated with a higher risk of moderate-to-severe exacerbation(HR=1.88,95%confidence interval[CI]=1.37-2.59,P<0.001)and hospitalization for COPD exacerbation(HR=2.23,95%CI=1.29-3.85,P=0.004)than group BB.However,during the last year of follow-up,the differences in the risks of frequent exacerbations and hospitalizations between group DB and BB were not statistically significant(frequent exacerbations:HR=1.02,95%CI=0.51-2.03,P=0.955;frequent hospitalizations:HR=1.66,95%CI=0.58-4.78,P=0.348).The mortality rates of the two groups were both approximately 9.0%during the entire follow-up period.Conclusions:The long-term prognosis of patients reclassified into group B and of those remaining in group B was similar,although patients reclassified from group D to group B had worse short-term outcomes.The GOLD 2017 revision could improve the assessment of Chinese COPD patients in terms of long-term prognosis.

A High Consistency Wireless Key Generation Scheme for Vehicular Communication Based on Wiener Filter Extrapolation

Secret key generation from wireless channel is an emerging technology for communication network security,which exploits the reciprocity and time variability of wireless channels to generate symmetrical keys between the communication parties.Compared to the existing asymmetric key distribution methods,secret key generation from wireless channel has low complexity and high security,making it especially suitable for distributed networks.In vehicular communications,the reciprocity of wireless channel is degraded due to the movement of vehicular.This paper proposes a high consistency wireless key generation scheme for vehicular communication,especially applied to LTE-V2X(LTE vehicle to everything)systems.A channel reciprocity enhancement method is designed based on Wiener filter extrapolation,which can efficiently reduce the mismatch between the channels at the receiver and significantly reduce key disagreement rate.A real experimental system based on vehicle and universal software radio peripheral(USRP)platform is setup to verify the secret key generation in LTE-V2X systems.The effectiveness of the proposed method is verified in simulations and extensive practical tests.

角蛋白酶基因gm2886在密旋链霉菌ACT12中的表达及鉴定

通过生物信息学分析,在本实验室分离得到的1株羽毛高效降解菌微白黄链霉菌Fea-10基因组中发现基因gm2886(GenBank Accession Number:KY368946)可能编码一新的角蛋白酶,通过在该基因5'端和3'端分别连接红霉素抗性基因启动子(PermE)和组氨酸标签编码序列并构建在大肠杆菌-链霉菌穿梭质粒pSET152上,接合转入密旋链霉菌Streptomyces pactum ACT12,从而实现了异源表达,蛋白纯化后对其酶学性质进行了研究。实验结果表明,带有组氨酸标签编码序列的gm2886在密旋链霉菌ACT12中可以表达分泌得到1个大小约为36 kDa的蛋白。多种底物检测表明异源表达得到的重组蛋白GM2886-His6具有蛋白酶活性,可以降解水不溶性的天青角蛋白和羽毛粉;其最适温度和pH分别为50℃和pH 10.0。PMSF可抑制GM2886-His6的酶活,而EDTA不能,说明该酶为丝氨酸蛋白酶。本研究为从分子水平上解析羽毛高效降解菌Fea-10的活性机理,从而进一步开发其应用潜力提供了基础,同时可为该类蛋白酶的研究提供借鉴。