Rock mass quality prediction on tunnel faces with incomplete multi-source dataset via tree-augmented naive Bayesian network

Rock mass quality serves as a vital index for predicting the stability and safety status of rock tunnel faces.In tunneling practice,the rock mass quality is often assessed via a combination of qualitative and quantitative parameters.However,due to the harsh on-site construction conditions,it is rather difficult to obtain some of the evaluation parameters which are essential for the rock mass quality prediction.In this study,a novel improved Swin Transformer is proposed to detect,segment,and quantify rock mass characteristic parameters such as water leakage,fractures,weak interlayers.The site experiment results demonstrate that the improved Swin Transformer achieves optimal segmentation results and achieving accuracies of 92%,81%,and 86%for water leakage,fractures,and weak interlayers,respectively.A multisource rock tunnel face characteristic(RTFC)dataset includes 11 parameters for predicting rock mass quality is established.Considering the limitations in predictive performance of incomplete evaluation parameters exist in this dataset,a novel tree-augmented naive Bayesian network(BN)is proposed to address the challenge of the incomplete dataset and achieved a prediction accuracy of 88%.In comparison with other commonly used Machine Learning models the proposed BN-based approach proved an improved performance on predicting the rock mass quality with the incomplete dataset.By utilizing the established BN,a further sensitivity analysis is conducted to quantitatively evaluate the importance of the various parameters,results indicate that the rock strength and fractures parameter exert the most significant influence on rock mass quality.

Three-dimensional pseudo-dynamic reliability analysis of seismic shield tunnel faces combined with sparse polynomial chaos expansion

To address the seismic face stability challenges encountered in urban and subsea tunnel construction,an efficient probabilistic analysis framework for shield tunnel faces under seismic conditions is proposed.Based on the upper-bound theory of limit analysis,an improved three-dimensional discrete deterministic mechanism,accounting for the heterogeneous nature of soil media,is formulated to evaluate seismic face stability.The metamodel of failure probabilistic assessments for seismic tunnel faces is constructed by integrating the sparse polynomial chaos expansion method(SPCE)with the modified pseudo-dynamic approach(MPD).The improved deterministic model is validated by comparing with published literature and numerical simulations results,and the SPCE-MPD metamodel is examined with the traditional MCS method.Based on the SPCE-MPD metamodels,the seismic effects on face failure probability and reliability index are presented and the global sensitivity analysis(GSA)is involved to reflect the influence order of seismic action parameters.Finally,the proposed approach is tested to be effective by a engineering case of the Chengdu outer ring tunnel.The results show that higher uncertainty of seismic response on face stability should be noticed in areas with intense earthquakes and variation of seismic wave velocity has the most profound influence on tunnel face stability.

Generating animatable 3D cartoon faces from single portraits

Background With the development of virtual reality(VR)technology,there is a growing need for customized 3D avatars.However,traditional methods for 3D avatar modeling are either time-consuming or fail to retain the similarity to the person being modeled.This study presents a novel framework for generating animatable 3D cartoon faces from a single portrait image.Methods First,we transferred an input real-world portrait to a stylized cartoon image using StyleGAN.We then proposed a two-stage reconstruction method to recover a 3D cartoon face with detailed texture.Our two-stage strategy initially performs coarse estimation based on template models and subsequently refines the model by nonrigid deformation under landmark supervision.Finally,we proposed a semantic-preserving face-rigging method based on manually created templates and deformation transfer.Conclusions Compared with prior arts,the qualitative and quantitative results show that our method achieves better accuracy,aesthetics,and similarity criteria.Furthermore,we demonstrated the capability of the proposed 3D model for real-time facial animation.

Advancing Wound Filling Extraction on 3D Faces:An Auto-Segmentation and Wound Face Regeneration Approach

Facial wound segmentation plays a crucial role in preoperative planning and optimizing patient outcomes in various medical applications.In this paper,we propose an efficient approach for automating 3D facial wound segmentation using a two-stream graph convolutional network.Our method leverages the Cir3D-FaIR dataset and addresses the challenge of data imbalance through extensive experimentation with different loss functions.To achieve accurate segmentation,we conducted thorough experiments and selected a high-performing model from the trainedmodels.The selectedmodel demonstrates exceptional segmentation performance for complex 3D facial wounds.Furthermore,based on the segmentation model,we propose an improved approach for extracting 3D facial wound fillers and compare it to the results of the previous study.Our method achieved a remarkable accuracy of 0.9999993% on the test suite,surpassing the performance of the previous method.From this result,we use 3D printing technology to illustrate the shape of the wound filling.The outcomes of this study have significant implications for physicians involved in preoperative planning and intervention design.By automating facial wound segmentation and improving the accuracy ofwound-filling extraction,our approach can assist in carefully assessing and optimizing interventions,leading to enhanced patient outcomes.Additionally,it contributes to advancing facial reconstruction techniques by utilizing machine learning and 3D bioprinting for printing skin tissue implants.Our source code is available at https://github.com/SIMOGroup/WoundFilling3D.

A Comparative Study on the Processing of Emojis and Faces in Human Communication

In the digital era,emojis have enriched the way people communicate and research on emojis explosively increased in recent years.However,few noticed their functions from the neurocognitive perspective,especially their similarities and differences with facial expressions in traditional face-to-face communication.To fill this gap,we conducted a Meta-analysis with 25 independent effect sizes from previous experimental studies.The present study shows that emojis have slight advantages in processing efficiency,which might be attributed to their simplicity in design,namely the omission of complex facial features,but the difference between emoji and face processing is not significant.In addition,emotional valence and experimental methods do not have significant influences,which suggests that emojis are equally effective as human faces in emotional expression.The current research contributes to the knowledge in digital communication and the crucial role played by emojis therein.

基于JavaServer Faces的实验室信息管理平台

为实现实验室信息管理的网络化,规范实验室文档和提高实验室管理工作效率,采用JavaServer Face技术框架,设计开发了B/S体系结构实验室信息管理综合平台。通过提供丰富的人机交互用控件和后台事件处理,系统能够有效地对输入信息进行验证、转换。在实际运行中,证明了该平台的实用性、易用性和可扩展性。

Theoretical and numerical analysis of coal dust separated by centrifugal force for working and heading faces

In order to meet engineering needs of Chinese underground coal mines,a new dust-collecting fan,a device of dust separated by centrifugal force in driven cyclone passageway(DCCP)was designed.In centrifugal dust removal section(CDRS)of DCCP,a general equation is derived from the principle of force equilibrium.According to CDRS structure parameters and fan running parameters,the general equation is simplified,and the simplest equation is calculated numerically by MATLAB.The calculation results illustrate that increasing quantity of air current is against dust removal,but it is beneficial to dust removal by increasing the radius of driven spiral blade and increasing the particle diameter of coal dust.The conclusions show that the dust-collecting structure parameters coupled with the fan running parameters is a novel optimization approach to dust-collection fan for working and heading faces,which is especially suitable for Chinese underground mines.

Patterns governing distribution of surrounding-rock stress and strata behaviors of fully-mechanized caving faces

By employing numerical modeling, similar material simulation and comprehen-sive field observation, investigations were made and patterns were obtained governing surrounding-rock stress distribution and strata behaviors. It shows that patterns governing displacement of FMC roadway surrounding rocks and those governing deformation of supports are basically the same along the strike, but the displacements vary greatly. The front stresses affect greater areas than the lateral stresses and their limit widths of equilib-rium zones and K are almost similar. The stress transmits very deep. Our findings offer scientific basis on which to determine parameters for coal pillar retaining and for roadway out-laying, thus increasing the recovery ratio and improving the maintenance of roadway.

Two faces of Schwann cell dedifferentiation in peripheral neurodegenerative diseases:pro-demyelinating and axon-preservative functions

Schwann cells are glial cells that are responsible for the synthesis and maintenance of the myelin sheath in the peripheral nerve system. Under pathological conditions, such as physical nerve injury and inflammatory neuropathies, Schwann cells undergo a substantial phenotype transformation that is not related to their intended function. For example, Schwann cells dedifferentiate into immature states and thereby cease to express myelin genes after nerve injury.

Putting Faces to Names： Snapshots of Two Committee Meetings, 95 Years Apart, Emphasize Continuous International Cooperation in the Atmospheric Sciences

1.Introduction Spectacular advances have been made in the atmospheric sciences on a global level during a period of one hundred years or more,which is arguably most evident through"the quiet revolution of numerical weather prediction"(Bauer et

Development of Trusted Network and Challenges It Faces

As the information network plays a more and more important role globally, the traditional network theories and technologies, especially those related to network security, can no longer meet the network development requirements. Offering the system with secure and trusted services has become a new focus in network research. This paper first discusses the meaning of and aspects involved in the trusted network. According to this paper, the trusted network should be a network where the network’s and users’ behaviors and their results are always predicted and manageable. The trustworthiness of a network mainly involves three aspects: service provider, information transmission and terminal user. This paper also analyzes the trusted network in terms of trusted model for network/user behaviors, architecture of trusted network, service survivability and network manageability, which is designed to give ideas on solving the problems that may be faced in developing the trusted network.

A Survey of GAN-Generated Fake Faces Detection Method Based on Deep Learning

In recent years,with the rapid growth of generative adversarial networks(GANs),a photo-realistic face can be easily generated from a random vector.Moreover,the faces generated by advanced GANs are very realistic.It is reasonable to acknowledge that even a well-trained viewer has difficulties to distinguish artificial from real faces.Therefore,detecting the face generated by GANs is a necessary work.This paper mainly introduces some methods to detect GAN-generated fake faces,and analyzes the advantages and disadvantages of these models based on the network structure and evaluation indexes,and the results obtained in the respective data sets.On this basis,the challenges faced in this field and future research directions are discussed.

JavaServer Faces程序设计——JavaServer Faces基本架构与基本程序设计(一)

前言 JavaServer Faces(往后简称JSF)是一套架构于JSP上头的应用程序框架(Framework)。相较于目前比较热门的Struts或Tapestry,JSF是一套把重点放在Web用户界面(Web UI)上头的应用程序框架。也就是说,当开发JSF网页时,开发者站在比一般JSP网页开发者更高的地方来分析、设计、与开发Web应用程序。所以JSF在开发上较JSP容易,维护性也较高。

Prediction of Changed Faces with HSCNN

Convolutional Neural Networks(CNN)have been successfully employed in the field of image classification.However,CNN trained using images from several years ago may be unable to identify how such images have changed over time.Cross-age face recognition is,therefore,a substantial challenge.Several efforts have been made to resolve facial changes over time utilizing recurrent neural networks(RNN)with CNN.The structure of RNN contains hidden contextual information in a hidden state to transfer a state in the previous step to the next step.This paper proposes a novel model called Hidden State-CNN(HSCNN).This adds to CNN a convolution layer of the hidden state saved as a parameter in the previous step and requires no more computing resources than CNN.The previous CNN-RNN models perform CNN and RNN,separately and then merge the results.Therefore,their systems consume twice the memory resources and CPU time,compared with the HSCNN system,which works the same as CNN only.HSCNN consists of 3 types of models.All models load hidden state ht−1 from parameters of the previous step and save ht as a parameter for the next step.In addition,modelB adds ht−1 to x,which is the previous output.The summation of ht−1 and x is multiplied by weight W.In model-C the convolution layer has two weights:W1 and W2.Training HSCNN with faces of the previous step is for testing faces of the next step in the experiment.That is,HSCNN trained with past facial data is then used to verify future data.It has been found to exhibit 10 percent greater accuracy than traditional CNN with a celeb face database.

《ACSAPPLIEDMATERIALS&INTERFACES》刊发查丽莎团队和合作团队研究的Mo-Based纳米颗粒材料在抗辐射方面超凡应用前景的成果

近日,安徽农业大学动物科技学院查丽莎教授团队与合肥工业大学查正宝教授团队联合共同研究了纳米材料Mo-Based Polyoxometalate Nanoclusters(钼基多氧金属酸纳米团簇)在抗辐射方面超凡的应用前景。相关研究成果作为封面文章发表在ACS APPLIED MATERIALS&INTERFACES期刊上(ACS AMI 2023.02 IF 10.383)。

Pickering Interfaces扩展了PXI微波多路复用器产品种类

英国Claeton-on-Sea，Pickering Inter—faces作为业内领先的模块化信号开关和电子测试与验证仿真设备供应商，宣布为其40-785BPXI微波多路复用器产品新增了一系列50GHz的模块。这些新模块包括单或双6通道两种规格，继电器为前面板安装的形式，适用于切换50n最高50GHz信号的应用。单槽版本最多可以支持3个远程安装的（继电器与PXI模块分离）多路复用器。另外，所有的新模块都包含指示通道设置的LED灯，这项功能在早前的机架堆叠解决方案中已被广泛应用。

The World Economy Faces Many Uncertainties

This past year the International Finance Forum(IFF)2022 Spring Meetings have been held online.The meetings adopted the theme of The New Global Landscape:Challenges and Responses,designed to discuss the policy measures to cope with international economic challenges as the COVID-19 pandemic keeps spreading around the world.Around discussions about the subject of the World Economic Outlook and Challenges,participants felt deeply worried about the global economic development under the impact of the COVID-19 pandemic,the Russia-Ukraine conflict and global inflation.

Pacific Trade Deal Faces Tough Choices

The annual meeting of the Asia-Pacific Economic Co- operation (APEC) forum in Hawaii will have something more concrete to focus on than the usual bromides about extending free trade in the region. Barack Obama, the host, will use the occasion to laud progress