Role of three-dimensional printing and artificial intelligence in the management of hepatocellular carcinoma:Challenges and opportunities

Hepatocellular carcinoma(HCC)constitutes the fifth most frequent malignancy worldwide and the third most frequent cause of cancer-related deaths.Currently,treatment selection is based on the stage of the disease.Emerging fields such as three-dimensional(3D)printing,3D bioprinting,artificial intelligence(AI),and machine learning(ML)could lead to evidence-based,individualized management of HCC.In this review,we comprehensively report the current applications of 3D printing,3D bioprinting,and AI/ML-based models in HCC management;we outline the significant challenges to the broad use of these novel technologies in the clinical setting with the goal of identifying means to overcome them,and finally,we discuss the opportunities that arise from these applications.Notably,regarding 3D printing and bioprinting-related challenges,we elaborate on cost and cost-effectiveness,cell sourcing,cell viability,safety,accessibility,regulation,and legal and ethical concerns.Similarly,regarding AI/ML-related challenges,we elaborate on intellectual property,liability,intrinsic biases,data protection,cybersecurity,ethical challenges,and transparency.Our findings show that AI and 3D printing applications in HCC management and healthcare,in general,are steadily expanding;thus,these technologies will be integrated into the clinical setting sooner or later.Therefore,we believe that physicians need to become familiar with these technologies and prepare to engage with them constructively.

Building an Academic English Teachers’Community of Practice:Collaboration and Innovation in the Age of Artificial Intelligence

Against the backdrop of the continuous advancement of artificial intelligence(AI)technology and its increasing integration into the field of education,academic English teachers are facing unprecedented opportunities and challenges.This paper aims to explore the construction of an academic English teachers’community of practice supported by AI,in order to facilitate collaboration and knowledge sharing among teachers,and to enhance teaching effectiveness.Firstly,it analyzes the current application of AI technology in academic English teaching and its impact on teachers’professional development.Subsequently,through case studies,it explores the role of the community of practice in promoting teacher collaboration,resource sharing,and teaching innovation.The study found that the community of practice can provide a platform for teachers to exchange ideas,solve teaching problems through collective wisdom,jointly develop teaching resources,and use AI technology to optimize teaching strategies.The article proposes strategies for building an open,collaborative,and shared community of practice for academic English teachers,including establishing open communication mechanisms,promoting deep integration of technology and teaching,encouraging teacher participation in community activities,etc.,to achieve professional growth of teachers and enhancement of teaching quality.This paper concludes by proposing an evaluation strategy system for the community of practice among academic English teachers in the era of AI.

Analysis of on Intelligent Community Based on Multi-Living Agent

A new research method for intelligent community based on multi-living agent was presented. The intelligent community system architecture and the application specific intellectual endowment were analyzed in the paper. The prevalence of islands of information on data integration solution was given. This method can improve the integration of intelligent community and accelerate the development speed of the intelligent community.

Design of Remote Control System of Intelligent Community Based on Embedded Web Server

A multichannel remote control system for imelligent community based on the STC89C54 chip was designed with the technique of embedded Web server. The control system can monitor 255 signals and eight control signals of one node at the same time, and can be connected to the internet by the TCP/IP protocol. So the field control information can be shown dynamically in a remote computer by way of web pages. The system has high convenience and friendly monitoring interface, then especially is fit for the large conamunity and storage that need multipoint monitoring and frequent switching door.

基于Community Intelligence的水电机组融合监测方法

介绍了基于CIA(Community Intelligence Agent)模型的水电机组融合监测框架:CIA模型包含消息处理层、行为控制层及核心功能层3个层次,各CIA与外界(如其他CIA)通过Request消息或Report消息联系;融合监测框架由维护域CIA系统和控制域CIA系统构成,维护域CIA系统各CIA之间通过实时现场总线(如CAN总线)或工业以太网实现交互、协作、关联动作及数据共享。将整个机组的状态数据划分为原始采样数据、瞬变状态数据、详细状态数据及概要状态数据4个层次,并针对不同层次的状态数据,进行选择性智能存储,以提高机组运动状态分析和故障诊断的针对性及有效性,节约存储空间。通过时间融合、运行工况融合、异常事件融合和冲突解决策略,实现融合监测系统中各CIA之间实时交互、协作及关联动作和机组状态数据的融合,有效地保证来自机组不同子系统的运动状态的关联性。

Three-dimensional visualization and virtual reality simulation role in hepatic surgery:Further research warranted

Artificial intelligence(AI)is the study of algorithms that enable machines to analyze and execute cognitive activities including problem solving,object and word recognition,reduce the inevitable errors to improve the diagnostic accuracy,and decision-making.Hepatobiliary procedures are technically complex and the use of AI in perioperative management can improve patient outcomes as discussed below.Three-dimensional(3D)reconstruction of images obtained via ultrasound,computed tomography scan or magnetic resonance imaging,can help surgeons better visualize the surgical sites with added depth perception.Preoperative 3D planning is associated with lesser operative time and intraoperative complications.Also,a more accurate assessment is noted,which leads to fewer operative complications.Images can be converted into physical models with 3D printing technology,which can be of educational value to students and trainees.3D images can be combined to provide 3D visualization,which is used for preoperative navigation,allowing for more precise localization of tumors and vessels.Nevertheless,AI enables surgeons to provide better,personalized care for each patient.

The Influence Factors of Collective Intelligence Emergence in Knowledge Communities Based on Social Network Analysis

The advent of the age of Information shifts the environment we live in from off-line to on-line. The prospect of Collective Intelligence (CI) is promising. Based on this background, the aim of this paper is to discover the emergence mechanism and influence factors of CI in knowledge communities using the method of quantitative and qualitative analysis. On the basis of the previous research work, our model theorizes that the two dimensions of social network (i.e., interactive network structure and participant’s characteristics) affect two references of effectiveness (i.e. group knowledge production and participation of group decision). And this hypothetical model is validated with simulation data from “Zhihu” community. Our model has been useful since it offers some inspirations and directions to promote the level of CI in knowledge communities.

Effect of Community Interventions on Intelligence Development of Infants

Objective To assess the interventions effect on intelligence of the infants through the community. Methods A total of 309 newborns and their families were recruited in Xuhui district, Shanghai. They were asked to fill out the baseline questionnaires. The newborns＇ intelligence quotients were measured by Developmental Screening Test for Child Under Six, and physical examinations were conducted at the same time. The newborns were randomly assigned to intervention group （156 cases） and control group （153 cases）. The infants and their families were followed up every 6 months. A questionnaire of follow-up was completed by face-to-face interview at the communities and infant intelligence quotients were measured and had their physical check-ups again at the end of the 6th month. Results After 6 months＇ intervention, the means of MI and DQ in the intervention group were respectively 5.96 and 9.80 higher than those in control group after adjustment of the baseline scores. Conclusion Early intelligence education in the community may promote the intelligence development of infants.

Utilization of artificial intelligence in the diagnosis of pes planus and pes cavus with a smartphone camera

BACKGROUND Pes planus(flatfoot)and pes cavus(high arch foot)are common foot deformities,often requiring clinical and radiographic assessment for diagnosis and potential subsequent management.Traditional diagnostic methods,while effective,pose limitations such as cost,radiation exposure,and accessibility,particularly in underserved areas.AIM To develop deep learning algorithms that detect and classify such deformities using smartphone cameras.METHODS An algorithm that integrated a deep convolutional neural network(CNN)into a smartphone camera was utilized to detect pes planus and pes cavus deformities.This case control study was conducted at a tertiary hospital with participants recruited from two orthopaedic foot and ankle clinics.The CNN was trained and tested using photographs of the medial aspect of participants’feet,taken under standardized conditions.Participants included subjects with standard foot alignment,pes planus,or pes cavus determined by an expert clinician using the foot posture index.The model’s performance was assessed in comparison to clinical assessment and radiographic measurements,specifically lateral tarsal-first metatarsal angle and calcaneal inclination angle.RESULTS The CNN model demonstrated high accuracy in diagnosing both pes planus and pes cavus,with an optimized area under the curve of 0.90 for pes planus and 0.90 for pes cavus.It showed a specificity and sensitivity of 84%and 87%for pes planus detection,respectively;and 97%and 70%for pes cavus,respectively.The model’s prediction correlated moderately with radiographic lateral Meary’s angle measurements,indicating the model’s excellent reliability in assessing food arch deformity(P<0.05).CONCLUSION This study highlights the potential of using a smartphone-based CNN model as a screening tool that is reliable and accessible for the detection of pes planus and pes cavus deformities,which is especially beneficial for underserved communities and patients with pain generated by subtle foot arch deformities.

Trends in dentomaxillofacial radiology

Oral and maxillofacial diagnostic imaging is of paramount importance in dental clinical diagnosis,treatment planning,and follow-up procedures.Periapical ra-diographic examination and numerous panoramic systems are used in routine clinical dental practice.Cone beam CT is widely used and currently the method of choice in oral and maxillofacial implantology,endodontics,maxillofacial surgery,periodontics,degenerative temporomandibular joint disease,orthodontics,airway studies,sleep disorders,and forensic dentistry.Another innovative laboratory re-search tool that offers three-dimensional(3D)detailed high-resolution images of in vitro teeth and neighboring structures with submicrometric accuracy is micro-computed tomography.Ultra-high radiation doses,long scanning times,and high costs preclude its routine clinical use.In response to the high demand for a te-chnique that could provide real-time images using a cost-effective,rapid,user-friendly,and portable technique without ionizing radiation,some authors pro-posed ultrasound imaging methods as an alternative to X-ray imaging techniques.Ultrasonography can be used in the dentomaxillofacial region for various diagno-stic purposes such as salivary gland and superficial tissue examination.Recently,dedicated dental magnetic resonance imaging with appropriate software,hard-ware,sequences,and field of view tailored to fit dentomaxillofacial anatomy was introduced.Lately,3D printing technologies and their application in dentistry has attracted attention.During 3D printing a given material is added in successive layers to create a 3D object.The application of this technology has the potential to decrease operation time and minimize operator bias and the possibility of proce-dural errors.Another hot topic regarding dentomaxillofacial radiology is artificial intelligence,which is a field related to computer science dedicated to developing systems or machines that can perform tasks traditionally associated with human intelligence.It is obvious that further investigation and research in the field of dentomaxillofacial radiology will make great contributions to diagnostic imaging for various dental specialties.

Spatial distribution modeling of subsurface bedrock using a developed automated intelligence deep learning procedure:A case study in Sweden

Due to associated uncertainties,modelling the spatial distribution of depth to bedrock(DTB) is an important and challenging concern in many geo-engineering applications.The association between DTB,the safety and economy of design structures implies that generating more precise predictive models can be of vital interest.In the present study,the challenge of applying an optimally predictive threedimensional(3D) spatial DTB model for an area in Stockholm,Sweden was addressed using an automated intelligent computing design procedure.The process was developed and programmed in both C++and Python to track their performance in specified tasks and also to cover a wide variety of diffe rent internal characteristics and libraries.In comparison to the ordinary Kriging(OK) geostatistical tool,the superiority of the developed automated intelligence system was demonstrated through the analysis of confusion matrices and the ranked accuracies of different statistical errors.The re sults showed that in the absence of measured data,the intelligence models as a flexible and efficient alternative approach can account for associated uncertainties,thus creating more accurate spatial 3D models and providing an appropriate prediction at any point in the subsurface of the study area.

Investigation and Study on Plant Communities in Baise Forest Park

Plant community structures of Baise Forest Park were analyzed through the field investigation. The results showed that there are 76 tree species of 69 genera and 41 families in the park. According to the species diversity analysis, among the 5 subareas recreational area has the highest diversity and evenness indexes, zoo has lower diversity index of plant community. Three-dimensional analysis of plant community shows that the community has simple structures, limited landscape layers and shrub coverage, a few lawn species and poor landscape effect. Analysis of its ecological habits shows that evergreen species in all 5 subareas of the park are more than deciduous species, and there are only a few ornamental tree species.

Glimpse into the future of prosthodontics:The synergy of artificial intelligence

Prosthodontics,deals in the restoration and replacement of missing and structurally compromised teeth,this field has been remarkably transformed in the last two decades.Through the integration of digital imaging and threedimensional printing,prosthodontics has evolved to provide more durable,precise,and patient-centric outcome.However,as we stand at the convergence of technology and healthcare,a new era is emerging,one that holds immense promise for the field and that is artificial intelligence(AI).In this paper,we explored the fascinating challenges and prospects associated with the future of prosthodontics in the era of AI.

Intelligent health in the IS area:A literature review and research agenda

As the global demand for healthcare services continues to grow,improving the efficiency and effectiveness of the healthcare ecosystem has become a pressing concern.Information systems are transforming the healthcare delivery process,shifting the focus of healthcare services from passive disease treatment to proactive health prevention and the healthcare management model from hospital-centric to patient-centric.This study focuses on reviewing research in IS journals on the topic of e-health and is dedicated to constructing a theoretical model of intelligent health to provide a research basis for future discussions in this field.In addition,as the innovation of intelligent healthcare services has led to changes in its elements(e.g.,an increase in the number of stakeholders),there is an urgent need to sort out and analyze the existing research.

Development status and prospect of geological guarantee technology for intelligent coal mining in China

In the face of the energy revolution and industrial change in the new era,intelligent coal mining is the only way to achieve high-quality development of the coal industry.Intelligent coal mining has endowed the coal mine geological guarantee system with new connotations and promoted the higher-level development of coal mine geological guarantee technology.The significance of the geological guarantee system in the entire process of coal mining is systematically analyzed.The research and application status of surface,borehole,and“four-while”detection technology is reviewed in detail.The key technologies and development progress of intelligent geological assurance are introduced,and the future development direction of intelligent geological guarantee systems in China is comprehensively considered.High-precision detection results are the basis of geological guarantee.Based on conventional three-dimensional(3D)seismic exploration technology,3D seismic high-precision imaging methods,intelligent identification methods of geological structures,intelligent inversion of stratum parameters,joint interpretation of reflected and diffracted waves for small-scale geological anomalies,and key technologies of underground exploration,which provide high-precision detection results for geological guarantee,are investigated.In terms of the construction of dynamic geological models,the dynamic detection technology of coal-rock interface with mining based on air-coupled radar has been proposed,and the significance of an online monitoring system is discussed.Based on the large amount of exploration data,the real-time data processing and visualization software and dynamic update method of the 3D geological model are established.This study systematically classified the key technologies of coal mine geological guarantee,specified the future direction of intelligent geological guarantee,and provided a reference for the development of intelligent mining geological assurance systems in coal mines.

TOWARD COLLECTIVE INTELLIGENCE OF ONLINE COMMUNITIES:A PRIMITIVE CONCEPTUAL MODEL

Inspired by the ideas of Swarm Intelligence and the ＂global brain＂, a concept of ＂community intelligence＂ is suggested in the present paper, reflecting that some ＂intelligent＂ features may emerge in a Web-mediated online community from interactions and knowledge-transmissions between the community members. This possible research field of community intelligence is then examined under the backgrounds of ＂community＂ and ＂intelligence＂ researches. Furthermore, a conceptual model of community intelligence is developed from two views. From the structural view, the community intelligent system is modeled as a knowledge supernetwork that is comprised of triple interwoven networks of the media network, the human network, and the knowledge network. Furthermore, based on a dyad of knowledge in two forms of ＂knowing＂ and ＂knoware＂, the dynamic view describes the basic mechanics of the formation and evolution of ＂community intelligence＂. A few relevant research issues are shortly discussed on the basis of the proposed conceptual model.

Progress and prospects of horizontal well fracturing technology for shale oil and gas reservoirs

By systematically summarizing horizontal well fracturing technology abroad for shale oil and gas reservoirs since the “13th Five-Year Plan”, this article elaborates new horizontal well fracturing features in 3D development of stacked shale reservoirs, small well spacing and dense well pattern, horizontal well re-fracturing, fracturing parameters optimization and cost control. In light of requirements on horizontal well fracturing technology in China, we have summarized the technological progress in simulation of multi-fracture propagation, horizontal well frac-design, electric-drive fracturing equipment, soluble tools and low-cost downhole materials and factory-like operation. On this basis, combined with the demand analysis of horizontal well fracturing technology in the “14th Five-Year Plan” for unconventional shale oil and gas, we suggest strengthening the research and development in the following 7 aspects:(1) geology-engineering integration;(2) basic theory and design optimization of fracturing for shale oil and gas reservoirs;(3) development of high-power electric-drive fracturing equipment;(4) fracturing tool and supporting equipment for long horizontal section;(5) horizontal well flexible-sidetracking drilling technology for tapping remaining oil;(6) post-frac workover technology for long horizontal well;(7) intelligent fracturing technology.

Flexible and breathable 3D porous SSE/MXene foam towards impact/electromagnetic interference/bacteria multiple protection performance for intelligent wearable devices

As intelligent wearable devices,they will inevitably be subjected to various damages and disturbances from the external environment during daily use.Therefore,it is urgent to develop safeguarding materials with multiple protective properties.Herein,this work developed a flexible and breathable three-dimensional(3D)porous shear stiffening elastomer(SSE)/MXene(M-SSE)foam with impact/electromagnetic interference(EMI)/bacteria multiple protection performance for intelligent wearable devices.The continuous conductive MXene network in the 3D SSE porous structure made M-SSE foam exhibit excellent electromagnetic interference shielding property with a high shielding effectiveness of 34 dB.Attributed to the shear stiffening effect of porous SSE matrix,M-SSE foam possessed unique anti-impact and protection properties.The energy dissipation rate reached up to more than 85%,illustrating M-SSE foam could effectively attenuate the external impact force and absorb the impact energy.Inherited from the excellent photothermal performance of MXene,M-SSE foam achieved a considerable saturated temperature of 98℃ under 0.57 W/cm^(2) laser power.Therefore,M-SSE foam showed extraordinary antimicrobial property for Staphylococcus aureus according to the principle of photothermal sterilization.Finally,for the development of intelligent wearable devices,conductive MSSE foam could be used as an intelligent sensor to monitor various human movements owing to the highly sensitive property.This work greatly expanded the application prospect of multifunctional protective materials in various complex environments and promoted the development of multifunctional smart wearable devices in protection field.

Development of community health service-oriented computer-assisted information system for diagnosis and treatment of respiratory diseases

Objective:Community health services are an emerging trend.We have found in practice that diagnosis and treatment of respiratory diseases in the community are distinct.The respiratory department’s daily work involves a number of outpatient registration items and a vast workload.The routine manual operation is inefficient and it is not convenient to make effective statistical analysis of the outpatient data to identify the risk factors closely related to diseases.Therefore,it is imperative to process the outpatient information of patients with respiratory diseases effectively and efficiently in a unified manner by means of computer technology.Methods:The design and realization of the Community Health Service-oriented computerassisted Information System for Diagnosis and Treatment of Respiratory Diseases(CHS-DTRD)was completed as part of the community intervention study on bronchial asthma that was carried out jointly by the Nanjing First Hospital Affiliated to Nanjing Medical University and the Hospital of Nanjing University of Science&Technology,and based on 2 years of experience and the needs of an overall analysis.Results:The computer-assisted information system for diagnosis and treatment was developed using Java Server Page(JSP)technology and introducing the advanced Asynchronous JavaScript XML(AJAX)technique and MS-SQL Server was used in the background database.CHS-DTRD was composed of eight functional modules(outpatient data maintenance,outpatient appointment,intelligent analysis for disease risk factors,query and statistics,data dictionary maintenance,database manipulation,access control,and system configuration).CHS-DTRD featured a friendly interface,convenient operation,and stability and reliability.Conclusion:Community health-oriented diagnosis and treatment of respiratory diseases is simple,programmable,and intuitive,thus the workload of physicians is significantly reduced and the work efficiency is improved.This system facilitates an intelligent analysis of disease risk factors using data mining technology,and provides physicians with suggestions on intelligent analysis for diagnosis of disease and conclusion of disease causes.

Discrete Improved Grey Wolf Optimizer for Community Detection

Detecting communities in real and complex networks is a highly contested topic in network analysis.Although many metaheuristic-based algorithms for community detection have been proposed,they still cannot effectively fulfill large-scale and real-world networks.Thus,this paper presents a new discrete version of the Improved Grey Wolf Optimizer(I-GWO)algorithm named DI-GWOCD for effectively detecting communities of different networks.In the proposed DI-GWOCD algorithm,I-GWO is first armed using a local search strategy to discover and improve nodes placed in improper communities and increase its ability to search for a better solution.Then a novel Binary Distance Vector(BDV)is introduced to calculate the wolves’distances and adapt I-GWO for solving the discrete community detection problem.The performance of the proposed DI-GWOCD was evaluated in terms of modularity,NMI,and the number of detected communities conducted by some well-known real-world network datasets.The experimental results were compared with the state-of-the-art algorithms and statistically analyzed using the Friedman and Wilcoxon tests.The comparison and the statistical analysis show that the proposed DI-GWOCD can detect the communities with higher quality than other comparative algorithms.