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T2-weighted imaging-based radiomic-clinical machine learning model for predicting the differentiation of colorectal adenocarcinoma

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World Journal of Gastrointestinal Oncology 2024年第3期16卷 819-832页

作者： Hui-Da Zheng qiao-Yi huang qi-ming huang Xiao-Ting Ke Kai Ye Shu Lin Jian-Hua Xu Department of Gastrointestinal Surgery The Second Affiliated Hospital of Fujian Medical UniversityQuanzhou 362000Fujian ProvinceChina Department of Gynaecology and Obstetrics The Second Affiliated Hospital of Fujian Medical UniversityQuanzhou 362000Fujian ProvinceChina Department of Computed Tomography/Magnetic Resonance Imaging The Second Affiliated Hospital of Fujian Medical UniversityQuanzhou 362000Fujian ProvinceChina Centre of Neurological and Metabolic Research The Second Affiliated Hospital of Fujian Medical UniversityQuanzhou 362000Fujian ProvinceChina Group of Neuroendocrinology Garvan Institute of Medical ResearchSydneyNSW 2010Australia

BACKGROUND The study on predicting the differentiation grade of colorectal cancer(CRC)based on magnetic resonance imaging(MRI)has not been reported *** a non-invasive model to predict the differentiation grade of CRC is of great *** To develop and validate machine learning-based models for predicting the differ-entiation grade of CRC based on T2-weighted images(T2WI).METHODS We retrospectively collected the preoperative imaging and clinical data of 315 patients with CRC who underwent surgery from March 2018 to July *** were randomly assigned to a training cohort(n=220)or a validation cohort(n=95)at a 7:3 *** were delineated layer by layer on high-resolution *** absolute shrinkage and selection operator regression was applied to screen for radiomic *** and clinical models were constructed using the multilayer perceptron(MLP)*** radiomic features and clinically relevant variables(selected based on a significance level of P<0.05 in the training set)were used to construct radiomics-clinical *** performance of the three models(clinical,radiomic,and radiomic-clinical model)were evaluated using the area under the curve(AUC),calibration curve and decision curve analysis(DCA).RESULTS After feature selection,eight radiomic features were retained from the initial 1781 features to construct the radiomic *** different classifiers,including logistic regression,support vector machine,k-nearest neighbours,random forest,extreme trees,extreme gradient boosting,light gradient boosting machine,and MLP,were used to construct the model,with MLP demonstrating the best diagnostic *** AUC of the radiomic-clinical model was 0.862(95%CI:0.796-0.927)in the training cohort and 0.761(95%CI:0.635-0.887)in the validation *** AUC for the radiomic model was 0.796(95%CI:0.723-0.869)in the training cohort and 0.735(95%CI:0.604-0.866)in the validation *** clinical model achieved an AUC of 0.7

关键词： Radiomics Colorectal cancer Differentiation grade Machine learning T2-weighted imaging

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Deciphering and integrating invariants for neural operator learning with various physical mechanisms

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National Science Review 2024年第4期11卷 111-122页

作者： Rui Zhang qi Meng Zhi-ming Ma Academy of Mathematics and Systems Science Chinese Academy of Sciences(CAS) Microsoft Research

Neural operators have been explored as surrogate models for simulating physical systems to overcome the limitations of traditional partial differential equation(PDE) solvers. However, most existing operator learning methods assume that the data originate from a single physical mechanism, limiting their applicability and performance in more realistic scenarios. To this end, we propose the physical invariant attention neural operator(PIANO) to decipher and integrate the physical invariants for operator learning from the PDE series with various physical mechanisms. PIANO employs self-supervised learning to extract physical knowledge and attention mechanisms to integrate them into dynamic convolutional *** to existing techniques, PIANO can reduce the relative error by 13.6%–82.2% on PDE forecasting tasks across varying coefficients, forces or boundary conditions. Additionally, varied downstream tasks reveal that the PI embeddings deciphered by PIANO align well with the underlying invariants in the PDE systems, verifying the physical significance of PIANO.

关键词： neural operator PDE solver contrastive learning physical invariants

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Cosmological Constraints on Neutrino Masses in Light of JWST Red and Massive Candidate Galaxies

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Research in Astronomy and Astrophysics 2024年第4期24卷 7-12页

作者： Jian-qi Liu Zhi-qi huang Yan Su School of Physics and Astronomy Sun Yat-sen UniversityZhuhai 519082China CSST Science Center for the Guangdong-Hong Kong-Macao Greater Bay Area Zhuhai 519082China

The overabundance of the red and massive candidate galaxies observed by the James Webb Space Telescope(JWST)implies efficient structure formation or large star formation efficiency at high redshift z~*** the scenario of a low or moderate star formation efficiency,because massive neutrinos tend to suppress the growth of structure of the universe,the JWST observation tightens the upper bound of the neutrino *** A cold dark matter cosmology and a star formation efficiency∈[0.05,0.3](flat prior),we perform joint analyses of Planck+JWST and Planck+BAO+JWST,and obtain improved constraints∑m_(ν)<0.196 eV and ∑m_(ν)+<0.111 eV at 95% confidence level,*** on the above assumptions,the inverted mass ordering,which implies ∑m_(ν)≥0.1 eV,is excluded by Planck+BAO+JWST at 92.7% confidence level.

关键词： (cosmology:)cosmological parameters galaxies:abundances galaxies:formation neutrinos

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Nanodiamond/Ti_(3)C_(2) MXene-coated quartz crystal microbalance humidity sensor with high sensitivity and high quality factor

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Rare Metals 2024年第6期43卷 2719-2729页

作者： Yao Yao qiao Chen Yan-qi Li Xian-He huang Wei-Wei Ling Zhe-MiaoXie Jia-qiWang Chang-ming Chen College of Communication Engineering Chengdu University of Information TechnologyChengdu 610225China School of Automation Chongqing University of Posts and TelecommunicationsChongqing 400065China School of Automation Engineering University of Electronic Science and Technology of ChinaChengdu 611731China Advanced Micro-/Nano-Devices Lab Department of Systems Design EngineeringUniversity of WaterlooWaterlooON N2L 3GlCanada

To address the challenge of achieving both high sensitivity and a high quality factor in quartz crystal microbalance(QCM)humidity sensors,a nanodiamond(ND)/Ti_(3)C_(2)MXene composite-coated QCM humidity sensor was *** material characteristics of ND,Ti_(3)C_(2)MXene,and ND/Ti_(3)C_(2)MXene composite were analyzed by transmission electron microscopy(TEM)and Fourier transform infrared(FTIR)*** experimental results demonstrated that the hydrophilic ND nanoparticles coated on Ti_(3)C_(2) MXene nanosheet prevented the self-stacking of Ti_(3)C_(2)MXene and enhanced the sensitivity of Ti_(3)C_(2) MXene-based QCM humidity ***,the high mechanical modulus of Ti_(3)C_(2) MXene material helped ND/Ti_(3)C_(2)MXene composite-coated QCM humidity sensor to achieve a high quality factor(>20,000).ND/Ti_(3)C_(2)MXene compositecoated QCM humidity sensor exhibited a sensitivity of 82.45 Hz/%RH,a humidity hysteresis of 1.1%RH,fast response/recovery times,acceptable repeatability,and good stability from 11.3%RH to 97.3%*** response mechanism of ND/Ti_(3)C_(2) MXene composite-coated QCM humidity sensor was analyzed in combination with a bi-exponential kinetic adsorption ***,the potential application of ND/Ti_(3)C_(2)MXene composite-coated QCM humidity sensor was demonstrated through its frequency response to wooden blocks with different moisture contents.

关键词： Humidity sensor Quartz crystal microbalance Nanodiamond Ti_(3)C_(2)MXene High quality factor

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Global Zero-relaxation Limit Problem of the Electro-diffusion Model Arising in Electro-Hydrodynamics

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Acta Mathematicae Applicatae Sinica 2024年第1期40卷 241-268页

作者： ming-hua Yang Si-ming huang Jin-yi Sun Department of Mathematics Jiangxi University of Finance and EconomicsNanchang330032China School of Public Administration Guangdong University of Foreign StudiesGuangzhou510006China College of Mathematics and Statistics Northwest Normal UniversityLanzhou730070China

In this paper,we study a global zero-relaxation limit problem of the electro-diffusion model arising in electro-hydrodynamics which is the coupled Planck-Nernst-Poisson and Navier-Stokes *** is,the paper deals with a singular limit problem of{u^(∈)_(t)+u^(∈)·▽u^(∈)-Δu^(∈)+▽P^(∈)=Δφ^(∈)▽φ^(∈),in R^(3)×(0,∞),▽·u^(∈)=0,in R^(3)×(0,∞),n^(∈)_(t)+u^(∈)·▽n^(∈)-Δn^(∈)=-▽·(n^(∈)▽φ^(∈)),in R^(3)×(0,∞),ct+u^(∈)·▽c^(∈)-Δc^(∈)=▽·(c^(∈)▽φ^(∈)),in R^(3)×(0,∞),∈^(-1)φ^(∈)_(t)=Δφ^(∈)-n^(∈)+c^(∈),in R^(3)×(0,∞),(u^(∈),n^(∈),c^(∈),φ^(∈))|t=0=(u0,n0,c0,φ0),in R^(3) involving with a positive,large parameter^(∈).The present work show a case that(u^(∈),n^(∈),c^(∈))stabilizes to(u^(∞),n∞,c∞):=(u,n,c)uniformly with respect to the time variable as^(∈)→+∞with respect to the strong topology in a certain Fourier-Herz space.

关键词： fourier-Herz space littlewood-Paley decomposition stability limit dissipative system

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Quantifying the Tension between Cosmological Models and JWST Red Candidate Massive Galaxies

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Research in Astronomy and Astrophysics 2024年第4期24卷 1-6页

作者： Jun-Chao Wang Zhi-qi huang Lu huang Jianqi Liu School of Physics and Astronomy Sun Yat-sen UniversityZhuhai 519082China CSST Science Center for the Guangdong-Hong Kong-Macao Greater Bay Area Zhuhai519082China CAS Key Laboratory of Theoretical Physics Institute of Theoretical PhysicsChinese Academy of SciencesBeijing 100190China

We develop a Python tool to estimate the tail distribution of the number of dark matter halos beyond a mass threshold and in a given volume in a *** code is based on the extended Press-Schechter model and is computationally efficient,typically taking a few seconds on a personal laptop for a given set of cosmological *** high efficiency of the code allows a quick estimation of the tension between cosmological models and the red candidate massive galaxies released by the James Webb Space Telescope,as well as scanning the theory space with the Markov Chain Monte Carlo *** an example application,we use the tool to study the cosmological implication of the candidate galaxies presented in Labbéet *** standard Λcold dark matter(ΛCDM)model is well consistent with the data if the star formation efficiency can reach~0.3 at high *** a low star formation efficiency ε~0.1,theΛCDM model is disfavored at~2σ-3σconfidence level.

关键词： (cosmology:)cosmological parameters Galaxy:abundances Galaxy:formation

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Enhanced boron neutron capture therapy(BNCT)through controlled drug release via boron-loaded nanofiber mats

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Nano Research 2024年第8期17卷 7479-7492页

作者： Wenyong huang Yongjin Yang Yong Pan Shiwei Jing Yanxin qi Yubin huang Faculty of Chemistry Northeast Normal UniversityChangchun 130024China Key Laboratory of Sustainable Advanced Functional Materials of Jilin Province Changchun 130024China School of Physics Northeast Normal UniversityChangchun 130024China

Boron neutron capture therapy(BNCT)is a novel binary therapy combining boron targeted drugs and neutron irradiation,which can selectively and effectively kill cancer cells at the cellular *** release of boron drug and its accumulation in tumor sites are the crux of ***,we developed a^(10)B-boric acid(^(10)BA)-loaded nanofiber applying for BNCT by in situ *** nanofibers were obtained by electrospinning technique using polyethylene glycol/polylactide(PEO/PLA)block *** changing the ratio of hydrophilicity to hydrophobicity of the nanofibers,the controlled release and the effective accumulation of boron 10 isotope(^(10)B)were achieved in ***^(10)B content in tumor could reach to 2540μg/g,significantly exceeding the required level of 20–50μg/g for BNCT *** pertinent DNA damage experiments,direct evidence and quantified data of BNCT-induced DNA damage in tumor cells were obtained for the first *** sequencing was employed to predict the molecular mechanisms and potential signaling pathways of BNCT,providing theoretical basis for future combined *** antitumor efficiency of BNCT was demonstrated by establishing mice model of subcutaneous tumor and tumor *** research presents a novel boron-loaded nanofiber mats for BNCT,which enables controlled drug release and holds significant potential in the treatment of unresectable or postoperative residual tumors.

关键词： boron neutron capture therapy nanofibers controlled release in situ administration

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Dynamic interwell connectivity analysis of multi-layer waterflooding reservoirs based on an improved graph neural network

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Petroleum Science 2024年第2期21卷 1062-1080页

作者： Zhao-qin huang Zhao-Xu Wang Hui-Fang Hu Shi-ming Zhang Yong-Xing Liang qi Guo Jun Yao School of Petroleum Engineering China University of Petroleum(East China)Qingdao266580ShandongChina Exploration and Development Research Institute Shengli OilfieldSINOPECDongying257015ShandongChina

The analysis of interwell connectivity plays an important role in the formulation of oilfield development plans and the description of residual oil distribution. In fact, sandstone reservoirs in China's onshore oilfields generally have the characteristics of thin and many layers, so multi-layer joint production is usually adopted. It remains a challenge to ensure the accuracy of splitting and dynamic connectivity in each layer of the injection-production wells with limited field data. The three-dimensional well pattern of multi-layer reservoir and the relationship between injection-production wells can be equivalent to a directional heterogeneous graph. In this paper, an improved graph neural network is proposed to construct an interacting process mimics the real interwell flow regularity. In detail, this method is used to split injection and production rates by combining permeability, porosity and effective thickness, and to invert the dynamic connectivity in each layer of the injection-production wells by attention *** on the material balance and physical information, the overall connectivity from the injection wells,through the water injection layers to the production layers and the output of final production wells is established. Meanwhile, the change of well pattern caused by perforation, plugging and switching of wells at different times is achieved by updated graph structure in spatial and temporal ways. The effectiveness of the method is verified by a combination of reservoir numerical simulation examples and field example. The method corresponds to the actual situation of the reservoir, has wide adaptability and low cost, has good practical value, and provides a reference for adjusting the injection-production relationship of the reservoir and the development of the remaining oil.

关键词： Graph neural network Dynamic interwell connectivity Production-injection splitting Attention mechanism Multi-layer reservoir

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Optimal extent of lymphadenectomy improves prognosis and guides adjuvant chemotherapy in esophageal cancer: A propensity scorematched analysis

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World Journal of Gastrointestinal Surgery 2024年第6期16卷 1537-1547页

作者： Ji-ming Tang Shu-Jie huang qi-Bin Chen Han-Sheng Wu Gui-Bin qiao Department of Thoracic Surgery Guangdong Provincial People’s HospitalGuangzhou 510080Guangdong ProvinceChina Department of Thoracic Surgery The First Affiliated Hospital of Shantou University Medical CollegeShantou 515041Guangdong ProvinceChina

BACKGROUND The optimal extent of lymphadenectomy in esophageal squamous cell carcinoma(ESCC)patients remained *** To explore the ideal number of cleared lymph nodes in ESCC patients undergoing upfront *** In this retrospective,propensity score-matched study,we included 1042 ESCC patients who underwent esophagectomy from November 2008 and October *** who underwent neoadjuvant therapy were *** collected pa-tients’clinicopathological features and information regarding lymph nodes,in-cluding the total number of resected lymph nodes(NRLN),and pathologically diagnosed positive lymph nodes(RPLN).SPSS and R software were used for statistical *** Among the included 1042 patients,two cohorts:≤21(n=664)and>21 NRLN(n=378)were *** final prognostic model included four variables:T stage,N,venous thrombus,and the number of removed lymph *** them,NRLN>21 was determined as an independent prognosticator after surgery for esophageal cancer(hazards regression=0.66,95%confidence interval:0.50-0.87,P=0.004).A nomogram was created based on the regression coefficients of the variables in the final *** the training cohort,the predictive model dis-played an uncorrected five-year overall survival C-index of 0.659,with a bootstrap-corrected C-index of *** the subgroup analysis,adjuvant chemotherapy was beneficial in the subgroup with NRLN>21 and RPLN≤0.16 and NRLN≤21 and RPLN>*** NRLN>21 was an independent prognostic factor after ESCC *** combination of NRLN and RPLN may provide a reference for adjuvant chemotherapy use in potential beneficiaries.

关键词： Esophageal squamous cell carcinoma Lymphadenectomy Adjuvant chemotherapy Prognosis Nomogram

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Targeting FAPα-positive lymph node metastatic tumor cells suppresses colorectal cancer metastasis

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Acta Pharmaceutica Sinica B 2024年第2期14卷 682-697页

作者： Shuran Fan ming qi qi qi Qun Miao Lijuan Deng Jinghua Pan Shenghui qiu Jiashuai He Maohua huang Xiaobo Li Jie huang Jiapeng Lin Wenyu Lyu Weiqing Deng Yingyin He Xuesong Liu Lvfen Gao Dongmei Zhang Wencai Ye Minfeng Chen State Key Laboratory of Bioactive Molecules and Druggability Assessment Jinan UniversityGuangzhou 510632China Guangdong Province Key Laboratory of Pharmacodynamic Constituents of Traditional Chinese Medicine and New Drugs Research College of PharmacyJinan UniversityGuangzhou 510632China School of Medicine Jinan UniversityGuangzhou 510632China School of Traditional Chinese Medicine Jinan UniversityGuangzhou 510630China The First Affiliated Hospital of Jinan University Guangzhou 510632China State Key Laboratory of Chemical Oncogenomics Guangdong Provincial Key Laboratory of Chemical BiologyTsinghua Shenzhen International Graduate SchoolShenzhen 518055China

Lymphatic metastasis is the main metastatic route for colorectal cancer, which increases the risk of cancer recurrence and distant metastasis. The properties of the lymph node metastatic colorectal cancer(LNM-CRC) cells are poorly understood, and effective therapies are still lacking. Here, we found that hypoxia-induced fibroblast activation protein alpha(FAPα) expression in LNM-CRC cells. Gain-or loss-function experiments demonstrated that FAPα enhanced tumor cell migration, invasion, epithelial-mesenchymal transition, stemness, and lymphangiogenesis via activation of the STAT3 pathway. In addition, FAPα in tumor cells induced extracellular matrix remodeling and established an immunosuppressive environment via recruiting regulatory T cells, to promote colorectal cancer lymph node metastasis(CRCLNM). Z-GP-DAVLBH, a FAPα-activated prodrug, inhibited CRCLNM by targeting FAPα-positive LNM-CRC cells. Our study highlights the role of FAPα in tumor cells in CRCLNM and provides a potential therapeutic target and promising strategy for CRCLNM.

关键词： Lymphaticmetastasis Colorectal cancer Fibroblastactivation proteinα FAPα-activated prodrug Epithelial-mesenchymal

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