日前,Imagination Technologies宣布Imagination大学计划（Imagination University Programme,IUP）推出新内容,针对移动图形技术提供业界首创的完整教学课程。＂移动图形概论＂（＂An Introduction to Mobile Graphics＂）包含丰富的...日前,Imagination Technologies宣布Imagination大学计划（Imagination University Programme,IUP）推出新内容,针对移动图形技术提供业界首创的完整教学课程。＂移动图形概论＂（＂An Introduction to Mobile Graphics＂）包含丰富的教材组合，并基于Imagination广受欢迎的PowerVR网形处理器（GPU）进行实践练习。展开更多
The combination of the Industrial Internet of Things(IIoT)and digital twin(DT)technology makes it possible for the DT model to realize the dynamic perception of equipment status and performance.However,conventional di...The combination of the Industrial Internet of Things(IIoT)and digital twin(DT)technology makes it possible for the DT model to realize the dynamic perception of equipment status and performance.However,conventional digital modeling is weak in the fusion and adjustment ability between virtual and real information.The performance prediction based on experience greatly reduces the inclusiveness and accuracy of the model.In this paper,a DT-IIoT optimization model is proposed to improve the real-time representation and prediction ability of the key equipment state.Firstly,a global real-time feedback and the dynamic adjustment mechanism is established by combining DT-IIoT with algorithm optimization.Secondly,a strong screening dual-model optimization(SSDO)prediction method based on Stacking integration and fusion is proposed in the dynamic regulation mechanism.Lightweight screening and multi-round optimization are used to improve the prediction accuracy of the evolution model.Finally,tak-ing the boiler performance of a power plant in Shanxi as an example,the accurate representation and evolution prediction of boiler steam quantity is realized.The results show that the real-time state representation and life cycle performance prediction of large key equipment is optimized through these methods.The self-lifting ability of the Stacking integration and fusion-based SSDO prediction method is 15.85%on average,and the optimal self-lifting ability is 18.16%.The optimization model reduces the MSE loss from the initial 0.318 to the optimal 0.1074,and increases R2 from the initial 0.731 to the optimal 0.9092.The adaptability and reliability of the model are comprehensively improved,and better prediction and analysis results are achieved.This ensures the stable operation of core equipment,and is of great significance to comprehensively understanding the equipment status and performance.展开更多
BACKGROUND Endometriosis is a common benign gynecological disease that causes dysmenorrhea in women of childbearing age.Malignant tumors derived from endometriosis are rarely reported and are found in only 1%of all pa...BACKGROUND Endometriosis is a common benign gynecological disease that causes dysmenorrhea in women of childbearing age.Malignant tumors derived from endometriosis are rarely reported and are found in only 1%of all patients with endometriosis.Here,we report a well-differentiated squamous cell carcinoma(SCC)caused by squamous metaplasia of endometriosis that co-occurred in the uterus and ovaries.CASE SUMMARY A 57-year-old postmenopausal woman had a 6-month history of irregular uterine bleeding.The uterus and adnexa were examined by computed tomography,and there were two solid cystic masses in the pelvis and right adnexa.Histological findings of surgical specimens showed well-differentiated SCC arising from squamous metaplasia of ectopic endometrial glands in the uterus and ovaries.The patient received chemotherapy after surgery and was followed up for 3 mo without metastasis.CONCLUSION The continuity between ectopic endometrial glands and SCC supports that SCC originates from ectopic endometrial glands with metaplasia towards squamous epithelium.展开更多
Elevated fibroblast growth factor 23(FGF23)in X-linked hypophosphatemia(XLH)results in rickets and phosphate wasting,manifesting by severe bone and dental abnormalities.Burosumab,a FGF23-neutralizing antibody,an alter...Elevated fibroblast growth factor 23(FGF23)in X-linked hypophosphatemia(XLH)results in rickets and phosphate wasting,manifesting by severe bone and dental abnormalities.Burosumab,a FGF23-neutralizing antibody,an alternative to conventional treatment(phosphorus and active vitamin D analogs),showed significant improvement in the long bone phenotype.Here,we examined whether FGF23 antibody(FGF23-mAb)also improved the dentoalveolar features associated with XLH.Four-week-old male Hyp mice were injected weekly with 4 or 16 mg·kg−1 of FGF23-mAb for 2 months and compared to wild-type(WT)and vehicle(PBS)treated Hyp mice(n=3–7 mice).Micro-CT analyses showed that both doses of FGF23-mAb restored dentin/cementum volume and corrected the enlarged pulp volume in Hyp mice,the higher concentration resulting in a rescue similar to WT levels.FGF23-mAb treatment also improved alveolar bone volume fraction and mineral density compared to vehicle-treated ones.Histology revealed improved mineralization of the dentoalveolar tissues,with a decreased amount of osteoid,predentin and cementoid.Better periodontal ligament attachment was also observed,evidenced by restoration of the acellular cementum.These preclinical data were consistent with the retrospective analysis of two patients with XLH showing that burosumab treatment improved oral features.Taken together,our data show that the dentoalveolar tissues are greatly improved by FGF23-mAb treatment,heralding its benefit in clinics for dental abnormalities.展开更多
文摘日前,Imagination Technologies宣布Imagination大学计划（Imagination University Programme,IUP）推出新内容,针对移动图形技术提供业界首创的完整教学课程。＂移动图形概论＂（＂An Introduction to Mobile Graphics＂）包含丰富的教材组合，并基于Imagination广受欢迎的PowerVR网形处理器（GPU）进行实践练习。
基金Major Science and Technology Project of Anhui Province(Grant Number:201903a05020011)Talents Research Fund Project of Hefei University(Grant Number:20RC14)+2 种基金the Natural Science Research Project of Anhui Universities(Grant Number:KJ2021A0995)Graduate Student Quality Engineering Project of Hefei University(Grant Number:2021Yjyxm09)Enterprise Research Project:Research on Robot Intelligent Magnetic Force Recognition and Diagnosis Technology Based on DT and Deep Learning Optimization.
文摘The combination of the Industrial Internet of Things(IIoT)and digital twin(DT)technology makes it possible for the DT model to realize the dynamic perception of equipment status and performance.However,conventional digital modeling is weak in the fusion and adjustment ability between virtual and real information.The performance prediction based on experience greatly reduces the inclusiveness and accuracy of the model.In this paper,a DT-IIoT optimization model is proposed to improve the real-time representation and prediction ability of the key equipment state.Firstly,a global real-time feedback and the dynamic adjustment mechanism is established by combining DT-IIoT with algorithm optimization.Secondly,a strong screening dual-model optimization(SSDO)prediction method based on Stacking integration and fusion is proposed in the dynamic regulation mechanism.Lightweight screening and multi-round optimization are used to improve the prediction accuracy of the evolution model.Finally,tak-ing the boiler performance of a power plant in Shanxi as an example,the accurate representation and evolution prediction of boiler steam quantity is realized.The results show that the real-time state representation and life cycle performance prediction of large key equipment is optimized through these methods.The self-lifting ability of the Stacking integration and fusion-based SSDO prediction method is 15.85%on average,and the optimal self-lifting ability is 18.16%.The optimization model reduces the MSE loss from the initial 0.318 to the optimal 0.1074,and increases R2 from the initial 0.731 to the optimal 0.9092.The adaptability and reliability of the model are comprehensively improved,and better prediction and analysis results are achieved.This ensures the stable operation of core equipment,and is of great significance to comprehensively understanding the equipment status and performance.
文摘BACKGROUND Endometriosis is a common benign gynecological disease that causes dysmenorrhea in women of childbearing age.Malignant tumors derived from endometriosis are rarely reported and are found in only 1%of all patients with endometriosis.Here,we report a well-differentiated squamous cell carcinoma(SCC)caused by squamous metaplasia of endometriosis that co-occurred in the uterus and ovaries.CASE SUMMARY A 57-year-old postmenopausal woman had a 6-month history of irregular uterine bleeding.The uterus and adnexa were examined by computed tomography,and there were two solid cystic masses in the pelvis and right adnexa.Histological findings of surgical specimens showed well-differentiated SCC arising from squamous metaplasia of ectopic endometrial glands in the uterus and ovaries.The patient received chemotherapy after surgery and was followed up for 3 mo without metastasis.CONCLUSION The continuity between ectopic endometrial glands and SCC supports that SCC originates from ectopic endometrial glands with metaplasia towards squamous epithelium.
基金supported by the Agence Nationale de la Recherche grant Hyposkel 18-CE14-0018-01 to C Bardetsupported by the Fondation pour la Recherche Médicale (SPF202209015771)+2 种基金supported by France Life Imaging (grant ANR-11-INBS-0006)Infrastructures Biologie-SanteDIM Therapie Génique
文摘Elevated fibroblast growth factor 23(FGF23)in X-linked hypophosphatemia(XLH)results in rickets and phosphate wasting,manifesting by severe bone and dental abnormalities.Burosumab,a FGF23-neutralizing antibody,an alternative to conventional treatment(phosphorus and active vitamin D analogs),showed significant improvement in the long bone phenotype.Here,we examined whether FGF23 antibody(FGF23-mAb)also improved the dentoalveolar features associated with XLH.Four-week-old male Hyp mice were injected weekly with 4 or 16 mg·kg−1 of FGF23-mAb for 2 months and compared to wild-type(WT)and vehicle(PBS)treated Hyp mice(n=3–7 mice).Micro-CT analyses showed that both doses of FGF23-mAb restored dentin/cementum volume and corrected the enlarged pulp volume in Hyp mice,the higher concentration resulting in a rescue similar to WT levels.FGF23-mAb treatment also improved alveolar bone volume fraction and mineral density compared to vehicle-treated ones.Histology revealed improved mineralization of the dentoalveolar tissues,with a decreased amount of osteoid,predentin and cementoid.Better periodontal ligament attachment was also observed,evidenced by restoration of the acellular cementum.These preclinical data were consistent with the retrospective analysis of two patients with XLH showing that burosumab treatment improved oral features.Taken together,our data show that the dentoalveolar tissues are greatly improved by FGF23-mAb treatment,heralding its benefit in clinics for dental abnormalities.
