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SinGRAV: Learning a Generative Radiance Volume from a Single Natural Scene

Journal of Computer Science & Technology 2024年第2期39卷 305-319页

作者：王玉洁陈学霖陈宝权 School of Computer Science and Technology Shandong UniversityQingdao 266237China State Key Laboratory of General Artificial Intelligence Beijing 100871China School of Intelligence Science and Technology Peking UniversityBeijing 100871China Tencent AI Lab Tencent Holdings LimitedShenzhen 518057China

We present SinGRAV, an attempt to learn a generative radiance volume from multi-view observations of a single natural scene, in stark contrast to existing category-level 3D generative models that learn from images of many object-centric scenes. Inspired by SinGAN, we also learn the internal distribution of the input scene, which necessitates our key designs w.r.t. the scene representation and network architecture. Unlike popular multi-layer perceptrons (MLP)-based architectures, we particularly employ convolutional generators and discriminators, which inherently possess spatial locality bias, to operate over voxelized volumes for learning the internal distribution over a plethora of overlapping regions. On the other hand, localizing the adversarial generators and discriminators over confined areas with limited receptive fields easily leads to highly implausible geometric structures in the spatial. Our remedy is to use spatial inductive bias and joint discrimination on geometric clues in the form of 2D depth maps. This strategy is effective in improving spatial arrangement while incurring negligible additional computational cost. Experimental results demonstrate the ability of SinGRAV in generating plausible and diverse variations from a single scene, the merits of SinGRAV over state-of-the-art generative neural scene models, and the versatility of SinGRAV by its use in a variety of applications. Code and data will be released to facilitate further research.

关键词： generative model neural radiance field 3D scene generation

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Predicting depression in patients with heart failure based on a stacking model

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World Journal of Clinical Cases 2024年第21期12卷 4661-4672页

作者： Hui Jiang Rui Hu yu-jie wang Xiang Xie Department of Ultrasound The Second Affiliated Hospital of Anhui Medical UniversityHefei 230601Anhui ProvinceChina Department of Obstetrics and Gynecology The First Affiliated Hospital of Anhui Medical UniversityHefei 230022Anhui ProvinceChina Department of Ultrasound Diagnosis The Second Affiliated Hospital of Anhui Medical UniversityHefei 230601Anhui ProvinceChina

BACKGROUND There is a lack of literature discussing the utilization of the stacking ensemble algorithm for predicting depression in patients with heart failure(HF).AIM To create a stacking model for predicting depression in patients with *** This study analyzed data on 1084 HF patients from the National Health and Nutrition Examination Survey database spanning from 2005 to *** univariate analysis and the use of an artificial neural network algorithm,predictors significantly linked to depression were *** predictors were utilized to create a stacking model employing tree-based *** performances of both the individual models and the stacking model were assessed by using the test ***,the SHapley additive exPlanations(SHAP)model was applied to interpret the stacking *** The models included five *** these models,the stacking model demonstrated the highest performance,achieving an area under the curve of 0.77(95%CI:0.71-0.84),a sensitivity of 0.71,and a specificity of *** calibration curve supported the reliability of the models,and decision curve analysis confirmed their clinical *** SHAP plot demonstrated that age had the most significant impact on the stacking model's *** The stacking model demonstrated strong predictive *** can utilize this model to identify highrisk depression patients with HF,thus enabling early provision of psychological interventions.

关键词： National health and nutrition examination survey Depression Heart failure Stacking ensemble model Machine learning

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Cushing's syndrome caused by giant Ewing's sarcoma of the kidney:A case report and review of literature

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World Journal of Clinical Cases 2024年第23期12卷 5431-5440页

作者： Guo-Fan Dong Ya-Kun Hou Qi Ma Shuang-yu Ma yu-jie wang Mulati Rexiati Wen-Guang wang Department of Urologic Surgery The First Affiliated Hospital of Xinjiang Medical UniversityUrumqi 830000Xinjiang Uygur Autonomous RegionChina

BACKGROUND Primary renal Ewing’s sarcoma(ES)is extremely rare,and only two cases causing Cushing’s syndrome(CS)have been reported to *** report that the case of an 18-year-old patient is diagnosed primary renal ES with typical CS characterized by purple stripes,weight gain,and *** SUMMARY CS was first diagnosed by laboratory testing.A huge tumor was revealed in the kidney following an imaging ***,brain and bone metastases were *** comprehensive treatment,primarily based on surgery,primary renal ES was pathologically diagnosed with a typical EWSR1-FLI1 genetic mutation through genetic ***,the glucocorticoid level returned to *** the ninth postoperative month of follow-up,the patient was recovering ***-related symptoms had improved,and a satisfactory curative effect was *** Primary renal ES,a rare adult malignant tumor,can cause CS and a poor prognosis.

关键词： Renal Kidney Ewing's sarcoma Neuroectodermal tumors Cushing syndrome Case report

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One-dimensional(1D) micro/nanostructures of organic semiconductors for field-effect transistors

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Science China Chemistry 2015年第6期58卷 937-946页

作者： yu-Qing Zheng jie-yu wang Jian Pei Beijing National Laboratory for Molecular Sciences Key Laboratory of Bioorganic Chemistry and Molecular Engineering of Ministry of Education College of Chemistry and Molecular Engineering Peking University

Organic semiconductors have gradually become the super stars on the stage of optoelectronic materials, due to their low cost, flexibility and solution processability. Numerous organic semiconductors, including small molecules and conjugated polymers, have been designed and synthesized to explore the potential of organic materials in optoelectronic industry. One-dimensional micro/nanostructures of organic semiconductors generally have more ordered packing structure with fewer defects compared with thin films, and are thus thought to show intrinsic carrier mobility of organic materials. Moreover, the packing structure in micro/nanostructures is clear and relatively easy to analyze, which makes these micro/nanostructures a good platform to study structure-property relationship. Therefore, design of suitable organic molecules to form micro-/nanostructures and methods to obtain ideal micro/nanostructures for functional devices will be fully discussed in this mini review. Finally, the perspective and opportunity of 1D micro/nanostructured organic materials based OFETs in the near future are also addressed.

关键词： organic semiconductors organic field-effect transistors one-dimensional micro/nanostructures self-assembly

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Structural characterization,in vivo toxicity and biological activity of two new pyro-type diterpenoid alkaloids derived from 3-acetylaconitine

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Journal of Integrative Medicine 2023年第3期21卷 302-314页

作者： yu-jie wang Yan wang Pei Tao School of Ethnic Medicine Chengdu University of Traditional Chinese MedicineChengdu 611137Sichuan ProvinceChina School of Pharmacy Chengdu University of Traditional Chinese MedicineChengdu 611137Sichuan ProvinceChina

Objective:The transformations that occur in diterpenoid alkaloids during the process of sand frying for Chinese herbal medicine preparation have yet to be *** study investigated the structural changes that take place in 3-acetylaconitine during a simulation of heat-processing and evaluated the toxicity and biological activity of the pyrolysis ***:The diterpenoid alkaloid 3-acetylaconitine was heated at 180°C for 15 min to simulate the process of sand *** pyrolysis products were separated using column chromatography,and their structures were investigated using high-resolution electrospray ionization mass spectroscopy and nuclear magnetic resonance ***,in vivo cardiotoxicity and acute toxicity of 3-acetylaconitine and its pyrolysis products were compared,and the aconitine-induced arrhythmia model was employed to evaluate the antiarrhythmic effect of the pyrolysis ***:Two new diterpenoid alkaloids,pyroacetylaconitine and 16-epi-pyroacetylaconitine,a pair of epimers at C-16,were *** comparing the structures of these compounds,possible transformation pathways were *** with the prototype compound,3-acetylaconitine,the cardiotoxicity and acute toxicity of the heat-transformed products were significantly *** the biological activity assay,the two pyrolysis products exhibited an effective increase in ventricular premature beat latency,a reduction in the occurrence of ventricular tachycardia,as well as an increase in the rate of arrhythmia inhibition,implying strong antiarrhythmic ***:Compared with 3-acetylaconitine,its pyrolysis products displayed lower toxicity and good antiarrhythmic effects;thus,they have potential for being developed into antiarrhythmic medicines.

关键词： 3-Acetylaconitine Acute toxicity Antiarrhythmic agents 16-Epi-pyroacetylaconitine Pyroacetylaconitine Processing

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BN-embedded aromatics for optoelectronic applications

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Chinese Chemical Letters 2016年第8期27卷 1139-1146,1465页

作者： jie-yu wang Jian Pei Beijing National Laboratory for Molecular Sciences Key Laboratory of Bioorganic Chemistry and Molecular Engineering of Ministry of EducationKey Laboratory of Polymer Chemistry and Physics of Ministry of EducationCenter for Soft Matter Science and EngineeringCollege of Chemistry and Molecular EngineeringPeking University

The knowledge of azaborine chemistry is growing as an important branch in organic semiconductor ***,BN-embedded aromatic compounds have attracted great attention due to their fascinating properties resulted from the replacement of CC unit with isoelectronic BN unit in *** great insights have been provided into the synthetic chemistry and photophysical properties of BN-embedded aromatics,their applications in optoelectronic areas are still at a young *** short review summarizes the recent progress of BN-embedded aromatics with optoelectronic applications in organic field-effect transistors,organic light-emitting diodes,organic photovoltaics,stimuli-responsive luminescent devices,and chemical sensors.

关键词： Azaborine Optoelectronic device Organic semiconductor Aromatics

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Embedding pyridine units in acceptors to construct donor-acceptor conjugated polymers

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Chinese Chemical Letters 2019年第1期30卷 25-30页

作者： Zi-yuan wang jie-yu wang Jian Pei Beijing National Laboratory for Molecular Sciences Key Laboratory of Bioorganic Chemistry and Molecular Engineering of Ministry of Education Key Laboratory of Polymer Chemistry and Physics of Ministry of Education Center for Soft Matter Science and Engineering College of Chemistry and Molecular Engineering Peking University

The development of donor-acceptor(D-A) conjugated polymers greatly promotes the device performance in organic electronics. Recently, the strategy of embedding pyridine units into D-A conjugated polymer backbones has attracted much attention due to the resulted lowered LUMO levels. In addition, the possible non-bonding interactions resulted from the nitrogen atoms also improve the coplanarity of the polymer backbones. All these factors have great contribution to enhance the device performance. In this review, we summarized the recent development of pyridine-embedded D-A conjugated polymers and their applications in organic field-effect transistors(OFETs).

关键词： Donor-acceptor Conjugated polymers Coplanarity Pyridine-embedded Organic electronics

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Isothermal Crystallization of iPP in Environment-friendly Diluents:Effect of Binary Diluents and Crystallization Temperature on Crystallization Kinetics

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Chinese Journal of Polymer Science 2019年第6期37卷 617-626页

作者： yu-jie wang Su-Ying Yan Zhi-Ping Zhao Zhen-yu Xi School of Chemistry and Chemical Engineering Beijing Institute of Technology Environmental Protection Research Institute Beijing Research Institute of Chemical IndustrySINOPEC

The growing demand for non-toxic solvents for membrane preparation has motivated the studies for green and sustainable alternatives of solvents. The effect of droplet isothermal growth within the liquid-liquid phase separation region on isothermal spherulitic growth rate of isotactic polypropylene(iPP) was investigated. The results showed that the droplets grew up at a rate of 0.0172 μm·s^(-1). The larger droplets slowed down the isothermal spherulitic growth rate of iPP. Higher mass ratio of carnauba wax(Cwax)/soybean oil(SO)resulted in faster droplet growth due to weak interaction with polymers. The isothermal crystallization behaviors of iPP in environmentfriendly binary diluents consisting of Cwax and SO mixture were further investigated experimentally using polarized optical *** was demonstrated that the isothermal spherulitic growth rate of iPP in diluents decreased nonlinearly with the increasing crystallization temperature. Compared with virgin iPP, isothermal spherulitic growth rate of iPP in SO diluent was significantly slowed down. The spherulitic growth was further retarded after the addition of Cwax in mixed diluents, resulting in a lower crystallization rate than that in SO. Moreover, the crystal form of iPP membranes was found to be α type through the characterization of small angle X-ray scattering and wide angle X-ray diffraction.

关键词： Isotactic polypropylene Carnauba wax Isothermal crystallization kinetics PP membrane

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Organic Semiconducting Materials Based on BDOPV:Structures,Properties,and Applications

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Chinese Journal of Chemistry 2020年第1期38卷 13-24页

作者： Li Ding Zi-yuan wang jie-yu wang Jian Pei College of Chemistry and Molecular Engineering Peking UniversityBeijing 100871China

What are the major current research activities of your group?To develop high performance organic semiconducting and conducting materials and also to understand their structure-property *** are also interested in the effect of the aggregation states of the con-jugated polymers on their electronic properties,the doping process and *** is the most important personality for scientific research?Curiosity and the desire to ***,one should enjoy and be happy in the process of scientific exploration.

关键词： mechanism. conducting aggregation

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Deep learning characterization of rock conditions based on tunnel boring machine data

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Underground Space 2023年第5期12卷 89-101页

作者： Xu Li Min Yao Ji-dong yuan yu-jie wang Peng-yu Li Key Laboratory of Urban Underground Engineering of Ministry of Education Beijing Jiaotong UniversityBeijing 100044China School of Computer and Information Technology Beijing Jiaotong UniversityBeijing 100044China China Institute of Water Resources and Hydropower Research Beijing 100048China China Railway Engineering Equipment Group Co. Ltd.Zhengzhou 450000China

Rock condition perception based on tunnel boring machine(TBM)data is of great importance for not only ensuring tunnel boring safety but also improving construction *** prediction of TBM boring responses(i.e.,torque and total thrust of the cutterhead)largely determines the reliability of rock condition *** this paper,a new architecture of a two-dimensional convolutional neural network(2D-CNN)with a dual-input strategy is proposed to predict the TBM *** TBM Lot 3 of the Yinsong project in Jilin province,China,is taken as the case study in this *** types of models that follow different learning strategies are compared:one is defined as the point model,which only learns data of the stable phase,and the other is defined as the line model,which learns data from both the loading and stable boring *** line model is further improved by the weighted loss function *** results indicate that the strategy of learning data from both the loading phase and stable boring phase and increasing the weight of samples from the stable phase is shown to be optimal in predicting TBM boring *** terms of learning strategies,the line model can learn the influence of active control parameters on passive response parameters,but the point model *** terms of machine learning algorithms,2D-CNN has the best performance,with R2 values of 0.865 and 0.923 for torque and total thrust,*** proposed line model can overcome the problem that the traditional model failed to learn the influence of control *** a model can provide a solid base for the timely optimization of the control parameters in TBM boring process.

关键词： TBM Rock condition perception 2D-CNN Weighted loss function Line model

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