From Digital Human Modeling to Human Digital Twin: Framework and Perspectives in Human Factors

The human digital twin(HDT)emerges as a promising human-centric technology in Industry 5.0,but challenges remain in human modeling and simulation.Digital human modeling(DHM)provides solutions for modeling and simulating human physical and cognitive aspects to support ergonomic analysis.However,it has limitations in real-time data usage,personalized services,and timely interaction.The emerging HDT concept offers new possibilities by integrating multi-source data and artificial intelligence for continuous monitoring and assessment.Hence,this paper reviews the evolution from DHM to HDT and proposes a unified HDT framework from a human factors perspective.The framework comprises the physical twin,the virtual twin,and the linkage between these two.The virtual twin integrates human modeling and AI engines to enable model-data-hybrid-enabled simulation.HDT can potentially upgrade traditional ergonomic methods to intelligent services through real-time analysis,timely feedback,and bidirectional interactions.Finally,the future perspectives of HDT for industrial applications as well as technical and social challenges are discussed.In general,this study outlines a human factors perspective on HDT for the first time,which is useful for cross-disciplinary research and human factors innovation to enhance the development of HDT in industry.

Prevalence of Precancerous Lesions Based on Digital Cervicography with VIA/VILI among Women Positive for High-Risk Human Papillomavirus Serotypes: A Screening Center-Based Study in Cameroon

Background: Since 2021, high-risk Human Papilloma Virus (HR-HPV) testing has been the recommended screening test for cervical cancer for all settings;either used alone in a “test and treat” strategy, or with a triage test, with or without biopsy, before treatment. Cameroon has rolled out immunization against HPV 16 and 18, but studies show a higher prevalence of non-16/18 HR-HPV types. Objectives: Determine the prevalence of precancerous lesions, in women with HR-HPV infection and evaluate association of digital cervicography (DC) VIA/VILI positivity with HPV serotype, as a measure of their contribution to precancer and cancer incidence. Methodology: The study was cross-sectional, descriptive, and analytic. It took place at the Etoug-Ebe and Ekoudoum Baptist Hospitals in Yaoundé, during the period April-September 2022. We reviewed the records of women screened for cervical cancer between February 2020 and December 2021 and evaluated the prevalence of lesions on digital cervicography (DC) with VIA/VILI for women positive for HR-HPV serotypes. The data were analyzed using SPSS version 20.0 for Windows. P values Results: We identified 315 cases with a positive HR-HPV deoxyribonucleic acid (DNA) test, 224 (71.1%) had a DC VIA/VILI triage test done. Of these, 30 (13.4%) women had a positive DC VIA/VILI, with five women (2.2%) having lesions suggestive of cancer. Out of 11 cases positive for HPV 16 alone, 05 (45.5%) had a positive DC VIA/VILI test. Of the 14 cases positive for HPV 18 alone, 03 (21.4%) had a positive VIA/VILI, meanwhile only 19 (10.7%) of the 177 cases positive for non-16/18 HPV had a positive VIA/VILI test. Conclusion: A high proportion of women (13.4%) with HR HPV had a positive DC VIA/VILI, with a significant proportion (2.2%) having lesions suggestive of invasive cervical cancer HR-HPV serotype was associated with DC VIA/VILI positivity;HPV 16 had the strongest association (45.5%), followed by HPV 18 (21.4%), and non-16/18 HR-HPV (10.7%), suggesting a decreasing order of oncogenicity.

Digital Transformation of Enterprise Human Resource Management Enabled by Big Data

With the continuous development of big data technology,the digital transformation of enterprise human resource management has become a development trend.Human resources is one of the most important resources of enterprises,which is crucial to the competitiveness of enterprises.Enterprises need to attract,retain,and motivate excellent employees,thereby enhancing the innovation ability of enterprises and improving competitiveness and market share in the market.To maintain advantages in the fierce market competition,enterprises need to adopt more scientific and effective human resource management methods to enhance organizational efficiency and competitiveness.At the same time,this paper analyzes the dilemma faced by enterprise human resource management,points out the new characteristics of enterprise human resource management enabled by big data,and puts forward feasible suggestions for enterprise digital transformation.

Exploring the Digital Path of Human Resource Management in Innovation and Entrepreneurship Enterprises

The digitization of human resource management functions can enhance the adaptability of human resource management and promote the comprehensive digital development of innovative and entrepreneurial enterprises.This article first summarizes and evaluates the connotation and research status of the digitalization of enterprise human resource management.Secondly,it analyzes the influencing factors of digitalization of human resource management in innovative and entrepreneurial enterprises from three aspects:employee factors,organizational factors,and technological factors.Finally,it designs a digitalization plan for human resource management in innovative and entrepreneurial enterprises from four aspects:analyzing the current situation,preparing thoroughly,designing plans,and building systems.It emphasizes the value of digitalization of enterprise human resource management for innovative and entrepreneurial enterprises.

The Impact of the Digital Economy on Rural Residents’Working Hours:Mechanisms and Empirical Evidence

The rapid development of the digital economy has provided a new impetus for rural residents to extend their working hours.Based on the data collected by the China Labor-force Dynamics Survey(CLDS)in 2014,2016,and 2018,this paper measured the development level of the digital economy in China from the perspectives of internet development and digital financial inclusion,and tested the mechanisms of how the digital economy affected rural residents’working hours.The results showed that the digital economy extended rural residents’working hours by expanding information channels and enhancing human capital,and this mechanism was affected by heterogeneity in rural residents’educational background,age,and social capital.Building on these findings,this paper holds that to increase rural residents’income by extending their working hours and achieving common prosperity for all,it is necessary to expand the opportunities for rural residents to participate in skills training and promote their accumulation of human capital.

Construction of Human Digital Twin Model Based on Multimodal Data and Its Application in Locomotion Mode Identifcation

With the increasing attention to the state and role of people in intelligent manufacturing, there is a strong demand for human-cyber-physical systems (HCPS) that focus on human-robot interaction. The existing intelligent manufacturing system cannot satisfy efcient human-robot collaborative work. However, unlike machines equipped with sensors, human characteristic information is difcult to be perceived and digitized instantly. In view of the high complexity and uncertainty of the human body, this paper proposes a framework for building a human digital twin (HDT) model based on multimodal data and expounds on the key technologies. Data acquisition system is built to dynamically acquire and update the body state data and physiological data of the human body and realize the digital expression of multi-source heterogeneous human body information. A bidirectional long short-term memory and convolutional neural network (BiLSTM-CNN) based network is devised to fuse multimodal human data and extract the spatiotemporal features, and the human locomotion mode identifcation is taken as an application case. A series of optimization experiments are carried out to improve the performance of the proposed BiLSTM-CNN-based network model. The proposed model is compared with traditional locomotion mode identifcation models. The experimental results proved the superiority of the HDT framework for human locomotion mode identifcation.

The Prosecutorial Protection of Digital Human Rights

In the digital age,the rise of digital human rights has become an important expansion in the field of human rights.When advancing digital prosecution strategies,prosecutorial agencies should pay greater attention to the protection of digital human rights.The fragile state of digital human rights and the unique position of prosecutorial agencies in human rights protection make it imperative that prosecutorial agencies place more emphasis on fulfilling their responsibilities in legal oversight to promote the protection of digital human rights.Currently,prosecutorial agencies have strengthened the protection of digital human rights through such measures as promoting legal oversight with big data,enhancing the handling of criminal cases involving citizens'digital human rights,expanding the scope of public interest litigation protecting digital human rights,and improving their roles in civil and administrative prosecution.However,there are still challenges related to the inadequacy of updating the mindset,the incompleteness of measures,and the lack of innovation in mechanisms and systems.Therefore,prosecutorial agencies should further align with the implementation of digital prosecution strategies,update their human rights protection concepts,intensify efforts to combat cybercrime,strengthen the protection of citizens'personal information through prosecution,enhance public interest protection of collective digital human rights through public interest litigation,and actively innovate prosecutorial work mechanisms and systems to bolster the protection of digital human rights.

The Concept of Digital Human Rights and Its Reshaping of Basic Rights

Whether a new generation of human rights emerges in the digital age has sparked widespread debate.Academic understanding of digital technology remains confined to thinking about network technology and products,often overlooking the revolutionary nature of digital media.Digital media has the sweeping potential to unify all forms of media and reshape social life,giving rise to new demands for a new generation of human rights.The concept of digital human rights can be defined as the legitimate rights of human's infinitely extended personalities through digital media.Its core characteristic is its transcendency,where every person lives in a networked space that surpasses physical boundaries,nations,and individual personalities.Human rights are generally considered the foundation for basic constitutional rights,which,in turn,form the basis for legislative acts across various sectors.In recent years,China has enacted numerous laws in the digital domain to keep pace with the times,but due to the lack of guidance on digital human rights,these laws tend to be fragmented and disjointed.It is urgent to unify digital legislation at all levels on the basis of reshaping basic constitutional rights.Thus,it is essential to reshape the basic rights based on the concept and characteristics of digital human rights and streamline legislation at all levels under the unified guidance of basic rights.This can help establish a comprehensive digital human rights protection system that meets the demands of the modern era.

Smart Data for Digital Humanities

The emergence of ＂Big Data＂ has been a dramatic development in recent years. Alongside it, a lesser-known but equally important set of concepts and practices has also come into being--＂Smart Data.＂ This paper shares the author＇s understanding of what, why, how, who, where, and which data in relation to Smart Data and digital humanities. It concludes that, challenges and opportunities co-exist, but it is certain that Smart Data, the ability to achieve big insights from trusted, contextualized, relevant, cognitive, predictive, and consumable data at any scale, will continue to have extraordinary value in digital humanities.

Digital Evaluation of Sitting Posture Comfort in Human-vehicle System under Industry 4.0 Framework

Most of the previous studies on the vibration ride comfort of the human-vehicle system were focused only on one or two aspects of the investigation. A hybrid approach which integrates all kinds of investigation methods in real environment and virtual environment is described. The real experimental environment includes the WBV（whole body vibration） test, questionnaires for human subjective sensation and motion capture. The virtual experimental environment includes the theoretical calculation on simplified 5-DOF human body vibration model, the vibration simulation and analysis within ADAMS/VibrationTM module, and the digital human biomechanics and occupational health analysis in Jack software. While the real experimental environment provides realistic and accurate test results, it also serves as core and validation for the virtual experimental environment. The virtual experimental environment takes full advantages of current available vibration simulation and digital human modelling software, and makes it possible to evaluate the sitting posture comfort in a human-vehicle system with various human anthropometric parameters. How this digital evaluation system for car seat comfort design is fitted in the Industry 4.0 framework is also proposed.

Applications and research trends of digital human models in the manufacturing industry

Virtual reality(VR)has been widely used in various manufacturing industries,and VR-based virtual manufacturing has received significant attention in the current intelligent manufacturing era.Digital human models(DHMs)are essential for virtual manufacturing applications.Additionally,researching new applications of DHMs has developed into an important academic research field.This paper aims to identify the applications and research trends of DHMs in the manufacturing industry and to provide a reference for the continued development of virtual manufacturing and DHMs.We selected a total of 49 related articles from a large number of articles published between 2014 and 2019.The applications of DHMs in the manufacturing industry are analyzed from different perspectives and various relevant technical limitations are discussed.The results indicate that the applications of DHMs differ significantly between different types of fields.The automotive industry is the main application field for DHMs,and assembly/maintenance simulations and evaluations are the main application types.Additionally,there are still some limitations in the establishment of virtual environments,motion control,and DHM evaluation that should be addressed.Finally,research trends in the application of DHMs are illustrated and discussed,including the planning and assessment of human-robot collaboration systems,the combination of DHMs and augmented reality,and improved motion planning for DHMs.In summary,the application of DHMs can improve the realism and effectiveness of virtual manufacturing,and DHMs will be more widely and deeply studied and applied in various manufacturing industries in the near future.

Innovation Empowerment in Construction 4.0 by the Corporate Digital Responsibility (CDR)-Approach. A New Field of Scientific Research for the Digital Breakthrough

The Architecture,Engineering and Construction Industry(AEC)undergoes digital transformation,one of the major drivers for technical innovation and dynamism to all working processes.Emerging technologies were only used to a limited extent due to the lack of will to innovate and the unavailability of appropriate orientation guiding users with a more comprehensible framework.The research defined a new gap in scientific research with the concept of Corporate Digital Responsibility(CDR)in Construction 4.0—a term representing the digitization of the branch.The traditionally conservative,highly fragmented industry is predestined for this given the advanced technology,human potential and appreciation of values.Understanding the complex possibilities of innovation and recognizing the potential impact on the sustainability of buildings and the built environment promotes the adoption of corporate responsibility.The implementation of digital strategies,secured by an adapted legal framework,would accelerate the overall human,societal and digital transformation.This primary research investigates the challenges affecting the adoption of Artificial Intelligence(AI).The study highlights in which fields CDR can significantly catalyze innovation to achieve efficient,economic construction life cycles.The study used a mix of methods with a structured literature analysis and expert interview surveys enabling a critical-reflexive analysis of key factors.It evaluates the key tasks to master technological feasibility.By assessing multiple expert perspectives,the study takes stock of the acceptance of new technologies.The findings are expected to inspire corporates,researchers and practitioners across disciplines.Necessary corporate steps are outlined in the study to lay the path for defining their own digital strategy.The study shows that new research questions require a holistic approach.

A Triple Human-Digital Twin Architecture for Cyber-Physical Systems

With the development of information and communication technology and the advent of the Internet of Things(IoT)era,cyber-physical system(CPS)is becoming the trend of products or systems.The deep integration and real-time interaction between the physical world and the virtual world expand system functions.Although there are some CPS implementation guidelines,the virtual world is still relatively abstract compared to the concrete physical world that can be touched through the IoT.Besides that,human is a non-negligible CPS endogenous interactive intelligent component.In this paper,we propose a triple human-digital twin architecture,where the physical objects and the digital twins that are the projections of the physical entities establish the cornerstone of human functioning together.And the hierarchically distributed digital twins grow dynamically with the physical entities along the lifecycle.Furthermore,the interaction and collaboration among the physical objects,the digital twins,and the humans in their respective worlds(the expected world,the interpreted world,and the physical world)integrate the full value chain of the products in anticipation of seamless synergy.Finally,we present a power management digital companion platform for the lunar probe to demonstrate the efficacy of the architecture.

An Integrated Simulation System Based on Digital Human Phantom for 4D Radiation Therapy of Lung Cancer

Purpose: To develop and test an integrated simulation system based on the digital Extended Cardio Torso (XCAT) phantom for 4-dimensional (4D) radiation therapy of lung cancer. Methods: A computer program was developed to facilitate the characterization and implementation of the XCAT phantom for 4D radiation therapy applications. To verify that patient-specific motion trajectories are reproducible with the XCAT phantom, motion trajectories of the diaphragm and chest were extracted from previously acquired MRI scans of five subjects and were imported into the XCAT phantom. The input versus the measured trajectories was compared. Simulation methods of 4D-CT and 4D-cone-beam CT (CBCT) based on the XCAT phantom were developed and tested for regular and irregular respiratory patterns. Simulation of 4D dose delivery was illustrated in a simulated lung stereotactic-body radiation therapy (SBRT) case based on the XCAT phantom. Dosimetric comparison was performed between the planned dose and simulated delivered dose. Result: The overall mean (±standard deviation) difference in motion amplitude between the input and measured trajectories was 1.19 (±0.79) mm for the XCAT phantoms with voxel size of 2 mm. 4D-CT and 4D-CBCT images simulated based on the XCAT phantom were validated using regular respiratory patterns and tested for irregular respiratory patterns. Comparison between simulated 4D dose delivery and planned dose for the lung SBRT case showed comparable results in all dosimetric matrices: the relative differences were 0.3%, 4.0%, 0%, and 2.8%, respectively, for max cord dose, max esophagus dose, mean heart dose, and V20Gy of the lungs. 97.5% of planning target volume (PTV) received prescription dose in the simulated 4D delivery, as compared to 95% of PTV received prescription dose in the plan. Conclusion: We developed an integrated simulation system based on the XCAT digital phantom and illustrated its utility in 4D radiation therapy of lung cancer. This simulation system is potentially a useful tool for quality control and development of imaging and treatment techniques for 4D radiation therapy of lung cancer.

Successful Digital Transformation and HRM Humanization

This paper investigates a core role of Human Resource Management(HRM)humanization for successful digital transformation in digital economy.The term“humanization”is applied to an iterative method of human relation development for human resources satisfaction and high results of organizational performance.The author summarized the peculiarities of digitalization in Russian companies in the context of the Russian labor market trends.The paper focuses on factors that determine human potential utilization and development in modern condition.The author grounded linkage between HRM humanization and digital transformation projects effect by three examples of Russian companies.The results let us conclude importance of HRM humanization and define core problems and directions in Russian context.

The Mathematical and Physical Theory of Rational Human Intelligence: Complete Empirical-Digital Properties;Full Electrochemical-Mechanical Model (Part I: Mathematical Foundations)

The design of this paper is to present the first installment of a complete and final theory of rational human intelligence. The theory is mathematical in the strictest possible sense. The mathematics involved is strictly digital—not quantitative in the manner that what is usually thought of as mathematics is quantitative. It is anticipated at this time that the exclusively digital nature of rational human intelligence exhibits four flavors of digitality, apparently no more, and that each flavor will require a lengthy study in its own right. (For more information,please refer to the PDF.)

Producing Podcasts in a Chinese Classroom: A Digital Humanities Project

This action research which situates itself in the context of Digital Humanities focuses on engaging students of Introductory Chinese course with an assignment to create podcasts in the form of an interview.Requiring students to integrate the aural,oral,and textural information via technology so as to carry a conversation with an interlocutor challenges them to convey their thoughts from the language they think in into meaningful ideas using the target language.In this way,students are“pushed”to convert their listening,speaking,and writing from being isolated components into a more dynamic and cohesive mode of communicating.As they explore expressing their ideas in the language they are learning,they develop the skills and sensibility needed to critically analyze their own work.Although limited in scale,the podcast format urges students to transform what they need to learn into a familiar product.

Digital Watermarking Algorithm Based on Wavelet Transform and Neural Network

An effective blind digital watermarking algorithm based on neural networks in the wavelet domain is presented. Firstly, the host image is decomposed through wavelet transform. The significant coefficients of wavelet are selected according to the human visual system （HVS） characteristics. Watermark bits are added to them. And then effectively cooperates neural networks to learn the characteristics of the embedded watermark related to them. Because of the learning and adaptive capabilities of neural networks, the trained neural networks almost exactly recover the watermark from the watermarked image. Experimental results and comparisons with other techniques prove the effectiveness of the new algorithm.

A Novel Digital Audio Watermarking Scheme in the Wavelet Domain

We present a novel quantization-based digital audio walermarking scheme inwavelet domain. By quantizing a host audio's wavelet coefficients (Integer Lifting WaveletTransform) and utilizing the characteristics of human auditory system (HAS), the grayimage isembedded using our watermarking method. Experimental results show that the proposed watermarkingscheme is inaudible and robust against various signal processing such as noising adding, lossycompression, low pass filtering, re-sampling, and re-quantifying.

Digital Image Watermarking Algorithm Based on Fast Curvelet Transform

A digital image watermarking algorithm based on fast curvelet transform is proposed. Firstly, the carrier image is decomposed by fast curvelet transform, and, the watermarking image is scrambled by Arnold transform. Secondly, the binary watermarking image is embedded into the medium frequency coefficients according to the human visual characteristics and curvelet coefficients. Experiment results show that the proposed algorithm has good performance in both invisibility and security and also has good robustness against the noise, cropping, filtering, JPEG compression and other attacks.