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Tunable off-resonant Rydberg microwave frequency comb spectroscopy based on metawaveguide coupled Rydberg atoms

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Chinese Optics Letters 2024年第8期22卷 1-6页

作者： Lihua Zhang Zongkai Liu bang Liu Qifeng Wang Yu ma Tianyu Han Zhengyuan Zhang Hanchao Chen Shiyao Shao Qing Li Jun Zhang Dongsheng Ding Baosen Shi Key Laboratory of Quantum Information University of Science and Technology of ChinaHefei 230026China Synergetic Innovation Center of Quantum Information and Quantum Physics University of Science and Technology of ChinaHefei 230026China

Studying Rydberg microwave frequency comb(MFC)spectroscopy helps increase the working bandwidth of the Rydberg *** Letter demonstrates off-resonant Rydberg MFC spectroscopy in a meta-waveguide-coupled Rydberg atomic *** off-resonant MFC field couples with the Rydberg atoms through a *** system can receive the microwave field in the working band from 0.5 GHz to 13.5 GHz,and the MFC spectroscopy covers a span of 36 MHz at three different arbitrarily-chosen frequencies of 2 GHz,3 GHz,and 5.8 *** MFC spectrum that covers a wide range of 125 MHz is also *** work is significant for tunable wide-band instant microwave signal detection in the Rydberg atomic system,which is useful in microwave frequency metrology,communication,and radar.

关键词： Rydberg atoms microwave frequency comb spectroscopy metawaveguide tunability

Metabolic landscape of head and neck squamous cell carcinoma informs a novel kynurenine/Siglec-15 axis in immune escape

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Cancer Communications 2024年第6期44卷 670-694页

作者： Xin-Yu Zhang Jian-Bo Shi Shu-Fang Jin Rui-Jie Wang Ming-Yu Li zhi-Yuan Zhang Xi Yang Hai-Long ma Department of Oral maxillofacial-Head and Neck Oncology Shanghai Ninth People’s HospitalCollege of StomatologyShanghai Jiao Tong University School of MedicineShanghaiP.R.China National Clinical Research Center for Oral Diseases ShanghaiP.R.China Shanghai Key Laboratory of Stomatology&Shanghai Research Institute of Stomatology ShanghaiP.R.China Department of Second Dental Center Shanghai Ninth People’s HospitalShanghai Jiao Tong University School of MedicineCollege of StomatologyShanghai Jiao Tong UniversityShanghaiP.R.China

Background:Metabolic reprograming and immune escape are two hallmarksof ***,how metabolic disorders drive immune escape in head andneck squamous cell carcinoma(HNSCC)remains ***,the aim ofthe present study was to investigate the metabolic landscape of HNSCC and itsmechanism of driving immune ***:Analysis of paired tumor tissues and adjacent normal tissues from69 HNSCC patients was performed using liquid/gas chromatography-mass spectrometry and *** tumor-promoting function of kynurenine(Kyn)was explored in vitro and in *** downstream target of Kyn wasinvestigated in CD8^(+)T *** regulation of CD8+T cells was investigatedafter Siglec-15 overexpression in *** engineering nanoparticle was establishedto deliver Siglec-15 small interfering RNA(siS15),and its association withimmunotherapy response were *** association between Siglec-15and CD8^(+)programmed cell death 1(PD-1)^(+)T cells was analyzed in a HNSCCpatient ***:A total of 178 metabolites showed significant dysregulation in HNSCC,including carbohydrates,lipids and lipid-like molecules,and amino *** these,amino acid metabolism was the most significantly altered,especiallyKyn,which promoted tumor proliferation and *** addition,most immune checkpoint molecules were upregulated in Kyn-high patientsbased on ***,tumor-derived Kyn was transferredinto CD8^(+)T cells and induced T cell functional exhaustion,and blockingKyn transporters restored its killing *** to the results,mechanistically,Kyn transcriptionally regulated the expression of Siglec-15 via arylhydrocarbon receptor(AhR),and overexpression of Siglec-15 promoted immuneescape by suppressing T cell infiltration and *** AhR in vivoreduced Kyn-mediated Siglec-15 expression and promoted intratumoral CD8^(+)Tcell infiltration and killing ***,a NH_(2)-modified mesoporous silicananoparticle was des

关键词： head and neck squamous cell carcinoma kynurenine Siglec-15 T cell exhaustion untargeted metabolomics

A systematic study of Erzhu Erchen decoction against damp-heat internalized type 2 diabetes based on data mining and experimental verification

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Traditional Medicine Research 2024年第2期9卷 27-41页

作者： Peng-Yu Wang Jian-Fen Shen Shuo Zhang Qing Lan Guan-Di ma Tong Wang You-zhi Zhang School of Pharmacy Hubei Engineering Research Center of Traditional Chinese Medicine of South Hubei ProvinceXianning Medical CollegeHubei University of Science and TechnologyXianning 437100China Department of Central Laboratory The First Affiliated Hospital of Jiaxing UniversityJiaxing 314000China

Background:Erzhu Erchen decoction(EZECD),which is based on Erchen decoction and enhanced with Atractylodes lancea and Atractylodes macrocephala,is widely used for the treatment of dampness and heat(The clinical manifestations of Western medicine include thirst,inability to drink more,diarrhea,yellow urine,red tongue,et al.)internalized ***,the mechanism of EZECD on damp-heat internalized Type 2 diabetes(T2D)remains *** employed data mining,pharmacology databases and experimental verification to study how EZECD treats damp-heat internalized ***:The main compounds or genes of EZECD and damp-heat internalized T2D were obtained from the pharmacology ***,the overlapped targets of EZECD and damp-heat internalized T2D were performed by the Gene Ontology,kyoto encyclopedia of genes and genomes *** the compound-disease targets-pathway network were constructed to obtain the hub ***,the hub genes and core related pathways were mined with weighted gene co-expression network analysis based on Gene Expression Omnibus database,the capability of hub compound and genes was valid in AutoDock ***,and violin plot and gene set enrichment analysis were performed to explore the role of hub genes in damp-heat internalized ***,the interactions of hub compound and genes were explored using Comparative Toxicogenomics Database and quantitative polymerase chain ***:First,herb-compounds-genes-disease network illustrated that the hub compound of EZECD for damp-heat internalized T2D could be ***,the hub genes were CASP8,CCL2,and AHR according to weighted gene co-expression network *** docking showed that quercetin could bind with the hub ***,gene set enrichment analysis and Gene Ontology represented that CASP8,or CCL2,is negatively involved in insulin secretion response to the TNF or lipopolysaccharide process,and AHR or CCL2 positively regulated li

关键词： data mining damp-heat internalized type 2 diabetes Erzhu Erchen decoction network pharmacology bioinformatics

Capturing metal clusters at the strong-interaction region to reverse Ostwald ripening

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Science China materials 2024年第4期67卷 1363-1364页

作者： Shuheng Tian Ding ma Beijing National Laboratory for Molecular Sciences New Cornerstone Science LaboratoryCollege of Chemistry and Molecular EngineeringPeking UniversityBeijing 100871China

High-temperature interactions induce sintering of metal nanoparticles(NPs) on heterogeneous catalyst surfaces, leading to reduced surface area and active site loss through Ostwald ripening [1]. This irreversible deactivation necessitates costly catalyst replacement, notably impacting metals like copper in hydrogenation and reforming reactions [2].

关键词： catalyst reforming irreversible

Unconfined compressive strength and failure behaviour of completely weathered granite from a fault zone

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Journal of Mountain Science 2024年第6期21卷 2140-2158页

作者： DU Shaohua ma Jinyin ma Liyao ZHAO Yaqian School of Civil Engineering and Architecture Henan University of Science and TechnologyLuoyang 471023China School of Resources and Safety Engineering Central South UniversityChangsha 410083China China Railway 18th Bureau Group Co. LtdTianjin 300222 China China General Nuclear Power Corporation Shenzhen 518031China

Understanding the strength characteristics and deformation behaviour of the tunnel surrounding rock in a fault zone is significant for tunnel stability *** this study,a series of unconfined compression tests were conducted to investigate the mechanical characteristics and failure behaviour of completely weathered granite(CWG)from a fault zone,considering with height-diameter(h/d)ratio,dry densities(ρd)and moisture contents(ω).Based on the experimental results,a regression mathematical model of unconfined compressive strength(UCS)for CWG was developed using the Multiple Nonlinear Regression method(MNLR).The research results indicated that the UCS of the specimen with a h/d ratio of 0.6 decreased with the increase ofω.When the h/d ratio increased to 1.0,the UCS increasedωwith up to 10.5%and then ***ρd is conducive to the improvement of the UCS at anyω.The deformation and rupture process as well as final failure modes of the specimen are controlled by h/d ratio,ρd andω,and the h/d ratio is the dominant factor affecting the final failure mode,followed byωandρ*** specimens with different h/d ratio exhibited completely different fracture mode,i.e.,typical splitting failure(h/d=0.6)and shear failure(h/d=1.0).By comparing the experimental results,this regression model for predicting UCS is accurate and reliable,and the h/d ratio is the dominant factor affecting the UCS of CWG,followed byρd and thenω.These findings provide important references for maintenance of the tunnel crossing other fault fractured zones,especially at low confining pressure or unconfined condition.

关键词： Fault fracture zone Completely weathered granite(CWG) Unconfined compression strength(UCS) Multiple nonlinear regression model

Mitigate noisy data for smart IoT via GAN based machine unlearning

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Science China(Information Sciences) 2024年第3期67卷 62-78页

作者： Zhuo ma Yilong YANG Yang LIU Xinjing LIU Jianfeng ma School of Cyber Engineering Xidian University State Key Laboratory of Integrated Services Networks (ISN)

With the development of IoT applications, machine learning dramatically improves the utility of variable IoT systems such as autonomous driving. Although the pretrain-finetune framework can cope well with data heterogeneity in complex IoT scenarios, the data collected by sensors often contain unexpected noisy data, e.g., out-of-distribution(OOD) data, which leads to the reduced performance of fine-tuned models. To resolve the problem, this paper proposes Mu GAN, a method that can mitigate the side-effect of OOD data via the generative adversarial network(GAN)-based machine unlearning. Mu GAN follows a straightforward but effective idea to mitigate the performance loss caused by OOD data, i.e., “flashbacking” the model to the condition where OOD data are excluded from model training. To achieve the goal, we design an adversarial game, where a discriminator is trained to identify whether a sample belongs to the training set by observing the confidence score. Meanwhile, a generator(i.e., the target model) is updated to fool the discriminator into believing that the OOD data are not included in the training set but others do. The experimental results show that benefiting from the high unlearning rate(more than 90%) and retention rate(99%), Mu GAN succeeds in lowering the model performance degradation caused by OOD data from 5.88% to 0.8%.

关键词： machine unlearning generative adversarial network out of distribution data Internet of Thing neural network

3D simulation of image-defined complex internal features using the numerical manifold method

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Science China(Technological Sciences) 2024年第4期67卷 1023-1039页

作者： WU Jie ma GuoWei School of Civil and Transportation Engineering Hebei University of TechnologyTianjin 300401China Tianjin Key Laboratory for Prefabricated Building and Intelligent Construction Tianjin 300401China

The numerical simulation of internal features,such as inclusions and voids,is important to analyze their impact on the performance of composite ***,the complex geometries of internal features and the induced continuous-discontinuous(C-D)deformation fields are challenges to their numerical *** this study,a 3D approach using a simple mesh to simulate irregular internal geometries is developed for the first *** the help of a developed voxel crack model,image models that are efficient when recording complex geometries are directly imported into the *** reconstructions,which are usually labor-intensive,are excluded from this ***,using image models as the geometric input,image processing techniques are applied to detect material interfaces and develop contact ***,the C-D deformations of the complex internal features are directly calculated based on the numerical manifold *** accuracy and convergence of the developed3D approach are examined based on multiple *** 3D C-D simulation of sandstones with naturally formed complex microfeatures demonstrates the capability of the developed approach.

关键词： 3D continuous-discontinuous simulation image-based simulation complex internal features numerical manifold method voxel crack model structured mesh

Enhancing capacitive deionization performance and cyclic stability of nitrogen-doped activated carbon by the electro-oxidation of anode materials

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Chinese Journal of Chemical Engineering 2024年第5期69卷 23-33页

作者： Xiaona Liu Baohua Zhao Yanyun Hu Luyue Huang Jingxiang ma Shuqiao Xu Zhonglin Xia Xiaoying ma Shuangchen ma School of Environmental Science and Engineering North China Electric Power UniversityBaoding 071003China Huadian Zhengzhou machinery Design and Research Institute Co. LtdZhengzhou 450002China Huadian Inner Mongolia Energy Co. Ltd.Baotou Power Generation BranchBaotou 014013China

Electrode materials with high desalination capacity and long-term cyclic stability are the focus of capacitive deionization(CDI) community. Understanding the causes of performance decay in traditional carbons is crucial to design a high-performance material. Based on this, here, nitrogen-doped activated carbon(NAC) was prepared by pyrolyzing the blend of activated carbon powder(ACP) and melamine for the positive electrode of asymmetric CDI. By comparing the indicators changes such as conductivity, salt adsorption capacity, pH, and charge efficiency of the symmetrical ACP-ACP device to the asymmetric ACP-NAC device under different CDI cycles, as well as the changes of the electrochemical properties of anode and cathode materials after long-term operation, the reasons for the decline of the stability of the CDI performance were revealed. It was found that the carboxyl functional groups generated by the electro-oxidation of anode carbon materials make the anode zero-charge potential(E_(pzc)) shift positively,which results in the uneven distribution of potential windows of CDI units and affects the adsorption capacity. Furthermore, by understanding the electron density on C atoms surrounding the N atoms, we attribute the increased cyclic stability to the enhanced negativity of the charge of carbon atoms adjacent to quaternary-N and pyridinic-oxide-N.

关键词： Anodic oxidation Capacitive deionization Cyclic stability N-doping

CALD1 facilitates epithelial-mesenchymal transition progression in gastric cancer cells by modulating the PI3K-Akt pathway

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World Journal of Gastrointestinal Oncology 2024年第3期16卷 1029-1045页

作者： Wen-Qian ma Ming-Chang Miao Ping-An Ding Bi-Bo Tan Wen-Bo Liu Shuo Guo Li-Mian Er zhi-Dong Zhang Qun Zhao Department of Endoscopy The Fourth Hospital of Hebei Medical UniversityShijiazhuang 050011Hebei ProvinceChina Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer Shijiazhuang 050011Hebei ProvinceChina Department of Radiotherapy The Fourth Hospital of Hebei Medical UniversityShijiazhuang 050011Hebei ProvinceChina The Third Department of Surgery The Fourth Hospital of Hebei Medical UniversityShijiazhuang 050011Hebei ProvinceChina

BACKGROUND CALD1 has been discovered to be abnormally expressed in a variety of malignant tumors,including gastric cancer(GC),and is associated with tumor progression and immune infiltration;however,the roles and mechanisms of CALD1 in epithe-lial-mesenchymal transition(EMT)in GC are *** To investigate the role and mechanism of CALD1 in GC progression,invasion,and *** In this study,the relationship between CALD1 and GC,as well as the possible network regulatory mechanisms of CALD1,was investigated by bioinformatics and validated by ***1-siRNA was synthesized and used to trans-fect GC *** activity was measured using the CCK-8 method,cell migration and invasive ability were measured using wound healing assay and Transwell assay,and the expression levels of relevant genes and proteins in each group of cells were measured using qRT-PCR and Western blot.A GC cell xenograft model RESULTS Bioinformatics results showed that CALD1 was highly expressed in GC tissues,and CALD1 was significantly higher in EMT-type GC tissues than in tissues of other types of *** prognosis of patients with high expression of CALD1 was worse than that of patients with low expression,and a prognostic model was constructed and *** experimental results were consistent with the results of the bioinformatics *** expression level of CALD1 in GC cell lines was all higher than that in gastric epithelial cell line GES-1,with the strongest expression found in AGS and MKN45 *** activity was significantly reduced after CALD1-siRNA trans-fection of AGS and MKN45 *** ability of AGS and MKN45 cells to migrate and invade was reduced after CALD1-siRNA transfection,and the related mRNA and protein expression was *** to bioinfor-matics findings in GC samples,the CALD1 gene was significantly associated with the expression of members of the PI3K-AKT-mTOR signaling pathway as well as the EMT signaling pathway,and was closely rel

关键词： Gastric tumor CALD1 Epithelial-mesenchymal transition Gene disruption Invasion Migration Bioinformatics