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Development and validation of a nomogram model for predicting overall survival in patients with gastric carcinoma

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World Journal of Gastrointestinal Oncology 2025年第2期17卷 132-143页

作者： Guan-Zhong Liang Xiao-Sheng Li Zu-hai hu Qian-Jie Xu Fang Wu Xiang-Lin Wu hai-Ke Lei Chongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment Chongqing University Cancer HospitalChongqing 400030China Chongqing Cancer Multi-omics Big Data Application Engineering Research Center Chongqing University Cancer HospitalChongqing 400030China Department of Health Statistics School of Public HealthChongqing Medical UniversityChongqing 400016China Research Center for Medicine and Social Development School of Public HealthChongqing Medical UniversityChongqing 400016China The Research Center of Big Data Chongqing University Cancer HospitalChongqing 400030China

BACKGROUND The prevalence and mortality rates of gastric carcinoma are disproportionately elevated in China,with the disease's intricate and varied characteristics further amplifying its health *** forecasting of overall survival(OS)is of paramount importance for the clinical management of individuals afflicted with this *** To develop and validate a nomogram model that provides precise gastric cancer prevention and treatment guidance and more accurate survival outcome prediction for patients with gastric *** Data analysis was conducted on samples collected from hospitalized gastric cancer patients between 2018 and *** absolute shrinkage and selection operator,univariate,and multivariate Cox regression analyses were employed to identify independent prognostic factors.A nomogram model was developed to predict gastric cancer patient *** model's predictability and discriminative ability were evaluated via receiver operating characteristic *** evaluate the clinical utility of the model,Kaplan-Meier and decision curve analyses were *** A total of ten independent prognostic factors were identified,including body mass index,tumor-node-metastasis(TNM)stage,radiation,chemotherapy,surgery,albumin,globulin,neutrophil count,lactate dehydrogenase,and platelet-to-lymphocyte *** area under the curve(AUC)values for the 1-,3-,and 5-year survival prediction in the training set were 0.843,0.850,and 0.821,*** AUC values were 0.864,0.820,and 0.786 for the 1-,3-,and 5-year survival prediction in the validation set,*** model exhibited strong discriminative ability,with both the time AUC and time C-index exceeding *** with TNM staging,the model demonstrated superior clinical ***,a nomogram was developed via a web-based *** This study established and validated a novel nomogram model for predicting the OS of gastric cancer patients,which demonstrat

关键词： Gastric carcinoma Prediction Overall survival Nomogram Prospective

Development and validation of a nomogram prediction model for overall survival in patients with rectal cancer

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World Journal of Gastrointestinal Oncology 2025年第2期17卷 93-104页

作者： Ling Liang Xiao-Sheng Li Ze-Jun huang Zu-hai hu Qian-Jie Xu Yu-Liang Yuan Wei Zhang hai-Ke Lei Chongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment Chongqing University Cancer HospitalChongqing 400030China Chongqing Cancer Multiomics Big Data Application Engineering Research Center Chongqing University Cancer HospitalChongqing 400030China Department of Health Statistics School of Public HealthChongqing Medical UniversityChongqing 400016China

BACKGROUND Rectal cancer is prevalent and associated with substantial morbidity and *** To develop a nomogram prediction model for overall survival(OS)in patients with rectal cancer by leveraging a comprehensive analysis of demographic,clinicopathological,haematological,and follow-up data to identify independent prognostic *** We conducted a prospective cohort study in China involving rectal cancer patients and applied Cox regression and least absolute shrinkage and selection operator regression to assess the significance of various variables as independent prognostic factors for *** identified factors were integrated into a nomogram model,which was evaluated for predictive accuracy via the C-index,area under the curve(AUC),calibration curve,and decision curve analysis(DCA).RESULTS Multivariate analysis revealed independent predictors of OS,including the Karnofsky performance status,age,sex,TNM stage,chemotherapy,surgery,targeted therapy,β2-microglobulin,lactate dehydrogenase,and the neutrophil-to-lymphocyte *** nomogram demonstrated a C-index of 0.80 for the training and validation cohorts,with AUC values indicating high predictive accuracy for 1-year,3-year,and 5-year *** calibration curves confirmed the model's excellent agreement with the observed survival rates,and DCA revealed the superior clinical utility of the nomogram over the TNM staging *** In this study,a novel prognostic model that accurately predicts the OS of rectal cancer patients was *** model exhibited excellent discriminatory and calibration capabilities,thus offering a reliable tool for health care professionals to estimate patient survival.

关键词： Rectal cancer Overall survival Nomogram Prognosis

A nuclide identification method ofγspectrum and model building based on the transformer

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Nuclear Science and Techniques 2025年第1期36卷 80-93页

作者： Fei Li Chu-Yang Luo Ying-Zi Wen Sheng Lv Feng Cheng Guo-Qiang Zeng Jian-Feng jiang Bing-hai Li College of Nuclear Technology and Automation Engineering Chengdu University of TechnologyChengdu 610000China Applied Nuclear Technology in Geosciences Key Laboratory of Sichuan Province Chengdu 610000China Department of Physics Universitat Politècnica de CatalunyaBarcelona 08028Spain Airborne Survey and Remote Sensing Center of Nuclear Industry Shijiazhuang 050000China Hebei Key Laboratory of Airborne Detection and Remote Sensing Technology Shijiazhuang 050000China

In current neural network algorithms for nuclide identification in high-background,poor-resolution detectors,traditional network paradigms including back-propagation networks,convolutional neural networks,recurrent neural networks,etc.,have been limited in research on γ spectrum analysis because of their inherent mathematical *** is difficult to make progress in terms of training data requirements and prediction *** contrast to traditional network paradigms,network models based on the transformer structure have the characteristics of parallel computing,position encoding,and deep stacking,which have enabled good performance in natural language processing tasks in recent ***,in this paper,a transformer-based neural network (TBNN) model is proposed to achieve nuclide identification for the first ***,the Geant4 program was used to generate the basic single-nuclide energy spectrum through Monte Carlo simulations.A multi-nuclide energy spectrum database was established for neural network training using random matrices of γ-ray energy,activity,and *** on the encoder–decoder structure,a network topology based on the transformer was built,transforming the 1024-channel energy spectrum data into a 32×32 energy spectrum sequence as the model *** experiments and adjustments of model parameters,including the learning rate of the TBNN model,number of attention heads,and number of network stacking layers,the overall recognition rate reached 98.7%.Additionally,this database was used for training AI models such as back-propagation networks,convolutional neural networks,residual networks,and long shortterm memory neural networks,with overall recognition rates of 92.8%,95.3%,96.3%,and 96.6%,*** indicates that the TBNN model exhibited better nuclide identification among these AI models,providing an important reference and theoretical basis for the practical application of transformers in the qualitative and quantitativ

关键词： Nuclide identification Neural network Transformer

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Controlling segregation and hardenability of gear steel based on as-cast structure

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Journal of Iron and Steel Research International 2025年第1期32卷 144-158页

作者： hai-jie Wang Ze Zhang Peng Lan Gang Chen Pu Wang Chuan-hui jiang Jia-quan Zhang School of Metallurgical and Ecological Engineering University of Science and Technology BeijingBeijing 100083China Weifang Iron and Steel Group Co. Ltd.Weifang 261000ShandongChina

Hardenability significantly impacts the distortion of gear during heat treatment,correlated to the uniformity of solute distribution in steel *** experimental analysis was conducted on the macrostructure,solute distribution,dendrite structure,and rod hardenability of 20CrMnTiH gear steel in continuously cast blooms and hot roller *** evaluation approach by the standards for the hardenability of gear steel rods and the corresponding blooms was analyzed,and the inheritance mechanism from solidification segregation to hardenability fluctuation of gear steel was *** results indicate that semi-macroscopic spot segregation located in the equiaxed zone exhibits larger size,higher solute enrichment,and worse solute homogeneity,leading to significant solute fluctuations in the blooms and hardenability fluctuation in the *** increasing the liquid steel superheat from 35 to 40℃,reducing the mold electromagnetic stirring from 300 to 100 A,and implementing the soft reduction(SR)of 7 mm at the solidification end,the equiaxed ratio of the strand decreased from 26.42%to 6.69%.Consequently,the solute fluctuation range and standard deviation decrease significantly in the transverse section,while the maximum segregation ratio,average fluctuation range,and average standard deviation of solutes C,Cr,and Mn in the spot segregation decrease at the same *** the meanwhile,the equiaxed ratio of the rod decreased from 24.89%to 4.09%,and the structure of the hardenability detection zone was transformed from equiaxed crystals to columnar ***,the solute fluctuation range and standard deviation in the transverse section decreased,while the homogeneity in spot segregation was also *** hardness difference of A and B surfaces at J9 and J15 positions was smaller than 2 HRC,meeting the qualification standard for hardenability.

关键词： Gear steel Continuous casting Solute distribution Dendritic structure Hardenability

Clinical significance of Ki-67 in patients with lung adenocarcinoma in situ complicated by type 2 diabetes

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World Journal of Diabetes 2025年第2期16卷 114-122页

作者： Ke Chen Ge Wang Jing-Cheng hu Ying-Yi Zhou hai-Tao Ma Department of Thoracic Surgery The First Affiliated Hospital of Soochow UniversitySuzhou 215000Jiangsu ProvinceChina Department of Endocrine The First Affiliated Hospital of Soochow UniversitySuzhou 215000Jiangsu ProvinceChina

BACKGROUND The increasing number of type 2 diabetes mellitus(T2DM)patients leads to higher rates of morbidity and mortality related to lung *** To investigate the utility of the proliferating cell nuclear antigen Ki-67 in patients with lung adenocarcinoma in situ(AIS)complicated by *** One hundred patients with AIS and T2DM(group A),100 patients with AIS alone(group B),and 60 patients with benign lung lesions(group C)admitted to the Department of Thoracic Surgery and Endocrinology of the First Affiliated Hospital of Soochow University from November 2021 to December 2022 were ***-67 expression was compared among the *** Group A had significantly higher levels of fasting plasma glucose(FPG),total cholesterol(TC),total triglyceride,low-density lipoprotein cholesterol,glycosylated hemoglobin(HbA1c),and insulin than groups B and C(P<0.01).Meanwhile,group B had higher insulin levels than group C(P<0.01).Group A exhibited a significantly higher average Ki-67 positivity rate than group B(P<0.01).The Ki-67 positivity rate in group A was 86.87%,while the positivity rate in group B was 77%.Ki-67 was positively correlated with FPG(P<0.01)and HbA1c levels(P<0.01).Ki-67,FBG,insulin,HbA1c,high-density lipoprotein cholesterol and TC were independent factors for patients with AIS complicated by *** K et ***67 in patients with AIS complicated by T2DM WJD https://*** 2 February 15,2025 Volume 16 Issue 2 CONCLUSION Ki-67 expression was higher in patients with AIS complicated by T2DM than in patients with AIS ***,detecting the Ki-67 level might assist in the diagnosis of AIS in patients with T2DM.

关键词： Ki-67 Type 2 diabetes mellitus Lung adenocarcinoma in situ Immunohistochemistry Prognostic marker

Identification of failure behaviors of underground structures under dynamic loading using machine learning

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Journal of Rock Mechanics and Geotechnical Engineering 2025年第1期17卷 414-431页

作者： Chun Zhu Yingze Xu Manchao He Yujing jiang Murat Karakus Lihua hu Yalong jiang Fuqiang Ren School of Earth Sciences and Engineering Hohai UniversityNanjing210098China State Key Laboratory of Coal Mine Disaster Dynamics and Control Chongqing UniversityChongqing400044China State Key Laboratory for Geomechanics&Deep Underground Engineering Xuzhou221116China Graduate School of Engineering Nagasaki UniversityBunkyoNagasaki852-8521Japan School of Civil Environmental and Mining EngineeringThe University of AdelaideAdelaide5005SAAustralia State Key Laboratory of Performance Monitoring and Protecting of Rail Transit Infrastructure East China Jiaotong UniversityNanchang330013China School of Civil Engineering University of Science and Technology LiaoningAnshan114051China

Understanding the dynamic responses of hard rocks is crucial during deep mining and tunneling activities and when constructing nuclear waste repositories. However, the response of deep massive rocks with openings of different shapes and orientations to dynamic loading is not well understood. Therefore, this study investigates the dynamic responses of hard rocks of deep underground excavation activities. Split Hopkins Pressure Bar (SHPB) tests on granite with holes of different shapes (rectangle, circle, vertical ellipse (elliptical short (ES) axis parallel to the impact load direction), and horizontal ellipse (elliptical long (EL) axis parallel to the impact load direction)) were carried out. The influence of hole shape and location on the dynamic responses was analyzed to reveal the rocks' dynamic strengths and cracking characteristics. We used the ResNet18 (convolutional neural network-based) network to recognize crack types using high-speed photographs. Moreover, a prediction model for the stress-strain response of rocks with different openings was established using Deep Neural Network (DNN). The results show that the dynamic strengths of the granite with EL and ES holes are the highest and lowest, respectively. The strength-weakening coefficient decreases first and then increases with an increase of thickness-span ratio (h/L). The weakening of the granite with ES holes is the most obvious. The ResNet18 network can improve the analyzing efficiency of the cracking mechanism, and the trained model's recognition accuracy reaches 99%. Finally, the dynamic stress-strain prediction model can predict the complete stress-strain curve well, with an accuracy above 85%.

关键词： Dynamic mechanical response Cracking mode Hole shape/location effect Deep Neural Network(DNN) Stress-strain prediction

Polymer-based smart fibers and textiles for wearable electronics

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Science China(Technological Sciences) 2025年第1期68卷 81-116页

作者： Sanming hu Li WANG Zaixian YUAN Kun CHEN Wei PENG hai YIN Zhijun SHI Guang YANG School of Biomedical Engineering and Imaging Xianning Medical CollegeHubei University of Science and TechnologyXianning 437100China College of Life Science and Technology Huazhong University of Science and TechnologyWuhan 430074China Wuhan Branch of the National Science Library Chinese Academy of SciencesWuhan 430071China

Smart fibers and textiles have attracted considerable interest for application in wearable devices because of their advantages of being human-friendly,lightweight,flexible,and *** addition,they are considered to have potential applications in health monitoring,energy management,and human-machine interaction *** and polymer fibers,with excellent mechanical strength,wrinkle resistance,and heat resistance,are widely used to fabricate smart fibers and ***,a comprehensive overview of polymer-based fibers and textiles is ***,we review the design principles of various polymer-based smart textiles,including textile-based sensors,energy capture and storage textiles,and computation and display ***,materials used for preparing polymer-based smart fibers,such as metals,carbon-based materials,and natural and synthetic polymers,particularly conductive polymers,are *** addition,this review summarizes key technologies used for preparing smart fibers and the conventional structures of smart ***,the applications of smart textiles in personal health monitoring,thermal management,energy capture and storage,and computation and displays are ***,the current challenges,limitations,and future trends of smart fibers and textiles are discussed.

关键词： polymers smart fibers smart textiles wearable electronics health management

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Numerical investigation of dynamic response and rupture properties of rock slopes subjected to earthquake triggering

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Journal of Mountain Science 2025年第2期22卷 710-728页

作者： MA Ke jiang Zhengchun LIAO Zhiyi GAO Zhiliang WANG Longjiang KE hu State Key Laboratory of Coastal and Offshore Engineering Dalian University of TechnologyDalian 116024China Institute of Rock Instability and Seismicity Research Dalian University of TechnologyDalian 116024China Dadu River Reservoir&Dam Management Centre CHN EnergyChengdu 610095China

Landslides triggered by seismic activity have led to substantial human and economic ***,the fundamental physical mechanisms underlying the vibration and rupture of rock slopes during earthquakes remain poorly *** this study,finite element method-based numerical simulations were conducted based on the rock slope at Dagangshan Hydropower Station in Sichuan province,***,systematic analysis in both the time and frequency domains were performed to examine the seismic dynamic characteristics of the ***,the transfer function method and the multiple stepwise linear regression method were employed to clarify the underlying mechanism and determine critical factors influencing the slope instability during ***-domain analysis reveals that rock slope dynamic response exhibits notable elevation,surface,and local amplification ***,the Peak Ground Acceleration(PGA)amplification coefficient(MPGA)is significantly higher at elevated locations,near the slope surface and in areas with ***,the existence of fracture zones and anti-shear galleries minimally influences the dynamic responses but considerably affect the ***,fracture zones exacerbate rupture,while anti-shear galleries mitigate ***-domain analysis indicates that the dynamic responses of the slope are closely correlated with the degree of slope *** earthquake magnitude increases,the rupture degree of the slope intensifies,and the dominant frequency of the response within the slope decreases,e.g.,its value shifts from 3.63 to 2.75 Hz at measurement point 9near the slope *** transfer function of rock slope,calculated under the excitation of wide flat spectrum white noise can reflect the interrelationships between the inherent properties and the rupture ***,the peak of the transfer function undergoes inversion as the degree of rupture ***,through multiple stepwise li

关键词： Numerical simulation Rock slope Earthquake trigger Dynamic response Rupture properties

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A High-Resolution Calibration Method for Time-to-Digital Converter of Lidar

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Chinese Journal of Electronics 2025年第1期34卷 222-228页

作者： Ruqing Liu Feng Li Jingguo Zhu Yan jiang Chenghao jiang Tao hu Institute of Microelectronics of the Chinese Academy of Sciences

High-resolution time-to-digital converter(TDC) finds major applications in light detection and ranging(Lidar) systems as one of the high precision time measuring techniques. In this work, a high-resolution TDC is designed and implemented on a Xilinx field-programmable gate array(FPGA) board. For precision time measurements, the proposed TDC uses an internal tapped delay chain written in Verilog. The TDC circuit measurement errors are examined and calibrated following several principles of error reduction techniques to meet the specific demand for the high-precision Lidar range. Experiments have shown that the suggested calibration TDC has higher performance, achieving sub-35 ps resolution. The design is fully customizable and implemented as a set of separate intellectual property cores. This allows for easy implementation and meets the requirements of the present-day pulse Lidar systems.

关键词： Temperature measurement Laser radar Voltage measurement Systematics Time measurement Distance measurement Delays Calibration Field programmable gate arrays Thermal stability