With the reduction of urban land, the three-dimensional garage is increasingly built with its advantages of saving land. But the current three-dimensional garage is built for the car. It is hardly stereo parking garag...With the reduction of urban land, the three-dimensional garage is increasingly built with its advantages of saving land. But the current three-dimensional garage is built for the car. It is hardly stereo parking garage for electric bicycles. This paper designed a hollow tower electric bicycle stereo parking garage with fork comb structure, based on the analysis of the characteristics of electric bicycles and the characteristics of existing three-dimensional garages. A fixed comb is mounted on the garage frame. The movable comb is mounted on the middle lift mechanism of the garage. The access of the vehicle is achieved by the exchange of the comb. The key comb structure was modeled using SolidWorks software and the stress distribution of the structure was analyzed. It was optimized by MATLAB software. The result shows that this structure can improve access efficiency. The quality of the comb structure can be minimized under the constraints of strength requirements.展开更多
With the development of new urbanization,high-rise buildings stand tall,and all kinds of roads are busy,and the garage has become an indispensable necessity for people.The rise of the garage has also made the market d...With the development of new urbanization,high-rise buildings stand tall,and all kinds of roads are busy,and the garage has become an indispensable necessity for people.The rise of the garage has also made the market demand for it.The ordinary flat garage is no longer enough to meet the demand for parking.Therefore,the modem mechanical three-dimensional garage has become the darling of the society,many large shopping malls,commercial buildings,A variety of mechanical three-dimensional garages have been commonly used in hotels and guesthouses.However,due to the late start of the mechanical three-dimensional garage,there are still many problems,such as slow operation of mechanical equipment,noisy mechanical noise,slow parking and other significant problems.Therefore,the contemporary mechanical three-dimensional garage is in urgent need of improvement.In this paper,the improvement analysis of the single-arm rotary vertical lifting type is carried out,and the mechanical principle knowledge is used to analyze the existing problems,so as to propose an improved solution.展开更多
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.Emerg...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.展开更多
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 ...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.展开更多
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 met...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.展开更多
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 econo...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.展开更多
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 t...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.展开更多
基金supported by Supported by National Natural Science Fund(U1704156)
文摘With the reduction of urban land, the three-dimensional garage is increasingly built with its advantages of saving land. But the current three-dimensional garage is built for the car. It is hardly stereo parking garage for electric bicycles. This paper designed a hollow tower electric bicycle stereo parking garage with fork comb structure, based on the analysis of the characteristics of electric bicycles and the characteristics of existing three-dimensional garages. A fixed comb is mounted on the garage frame. The movable comb is mounted on the middle lift mechanism of the garage. The access of the vehicle is achieved by the exchange of the comb. The key comb structure was modeled using SolidWorks software and the stress distribution of the structure was analyzed. It was optimized by MATLAB software. The result shows that this structure can improve access efficiency. The quality of the comb structure can be minimized under the constraints of strength requirements.
文摘With the development of new urbanization,high-rise buildings stand tall,and all kinds of roads are busy,and the garage has become an indispensable necessity for people.The rise of the garage has also made the market demand for it.The ordinary flat garage is no longer enough to meet the demand for parking.Therefore,the modem mechanical three-dimensional garage has become the darling of the society,many large shopping malls,commercial buildings,A variety of mechanical three-dimensional garages have been commonly used in hotels and guesthouses.However,due to the late start of the mechanical three-dimensional garage,there are still many problems,such as slow operation of mechanical equipment,noisy mechanical noise,slow parking and other significant problems.Therefore,the contemporary mechanical three-dimensional garage is in urgent need of improvement.In this paper,the improvement analysis of the single-arm rotary vertical lifting type is carried out,and the mechanical principle knowledge is used to analyze the existing problems,so as to propose an improved solution.
文摘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.
文摘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.
文摘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.
基金funded through the support of the Swedish Transport Administration through Better Interactions in Geotechnics(BIG)the Rock engineering Research Foundation(BeFo)Tyrens AB。
文摘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.
文摘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.
