The anterior disc displacement(ADD)leads to temporomandibular joint osteoarthritis(TMJOA)and mandibular growth retardation in adolescents.To investigate the potential functional role of fibrocartilage stem cells(FCSCs...The anterior disc displacement(ADD)leads to temporomandibular joint osteoarthritis(TMJOA)and mandibular growth retardation in adolescents.To investigate the potential functional role of fibrocartilage stem cells(FCSCs)during the process,a surgical ADDTMJOA mouse model was established.From 1 week after model generation,ADD mice exhibited aggravated mandibular growth retardation with osteoarthritis(OA)-like joint cartilage degeneration,manifesting with impaired chondrogenic differentiation and loss of subchondral bone homeostasis.Lineage tracing using Gli1^(-)CreER^(+);Tm^(fl/-)mice and Sox9-CreER^(+);Tm^(fl/-)mice showed that ADD interfered with the chondrogenic capacity of Gli1+FCSCs as well as osteogenic differentiation of Sox9+lineage,mainly in the middle zone of TMJ cartilage.Then,a surgically induced disc reposition(DR)mouse model was generated.The inhibited FCSCs capacity was significantly alleviated by DR treatment in ADD mice.And both the ADD mice and adolescent ADD patients had significantly relieved OA phenotype and improved condylar growth after DR treatment.In conclusion,ADD-TMJOA leads to impaired chondrogenic progenitor capacity and osteogenesis differentiation of FCSCs lineage,resulting in cartilage degeneration and loss of subchondral bone homeostasis,finally causing TMJ growth retardation.DR at an early stage could significantly alleviate cartilage degeneration and restore TMJ cartilage growth potential.展开更多
The on-surface self-assembly of inorganic atomic clusters and organic molecules offers significant opportunities to design novel hybrid materials with tailored functionalities.By adopting the advantages from both inor...The on-surface self-assembly of inorganic atomic clusters and organic molecules offers significant opportunities to design novel hybrid materials with tailored functionalities.By adopting the advantages from both inorganic and organic components,the hybrid self-assembly molecules have shown great potential in future optoelectrical devices.Herein,we report the co-deposition of 4,8-diethynylbenzo[1,2-d-4,5-d0]bisoxazole(DEBBA)and Se atoms to produce a motif-adjustable organic–inorganic hybrid self-assembly system via the non-covalent interactions.By controlling the coverage of Se atoms,various chiral molecular networks containing Se,Se_(6),Se_(8),and terminal alkynes evolved on the Ag(111)surface.In particular,with the highest coverage of Se atoms,phase segregation into alternating one-dimensional chains of non-covalently bonded Se_(8) clusters and organic ligands has been noticed.The atom-coverage dependent evolution of self-assembly structures reflects the remarkable structural adaptability of Se clusters as building blocks based on the spontaneous resize to reach the maximum non-covalent interactions.This work has significantly extended the possibilities of flexible control in self-assembly nanostructures to enable more potential functions for broad applications.展开更多
Nowadays,pre-training models on largescale datasets and fine-tuning models on task-specific datasets have become common paradigms,achieving impressive success in natural language processing and 2D vision.Nonetheless,t...Nowadays,pre-training models on largescale datasets and fine-tuning models on task-specific datasets have become common paradigms,achieving impressive success in natural language processing and 2D vision.Nonetheless,the potential of this paradigm has not been fully explored in 3D vision due to the scale of the datasets.To overcome this,we propose BoostPoint,a novel pipeline that uses large-scale rendered images as 3D point cloud model inputs for pretraining and uses general 3D tasks for fine-tuning.In BoostPoint,we propose a novel learning-free image-topoint(I2P)module to transform raw pixels into required inputs.Specifically,we view pixels as unorganized points,including essential raw features(e.g.,color)and positional information(e.g.,coordinates).Employing simple linear iterative clustering(SLIC),the I2P module effectively groups these unorganized points into superpixels,facilitating point cloud backbone pretraining.Furthermore,we employ a modality-agnostic debiasing mechanism during pre-training to prevent negative transfer in downstream tasks.Extensive finetuning experiments show that BoostPoint provides significant improvements to 3D point cloud backbones for 3D point cloud classification and part segmentation.展开更多
As a critical component of the global energy transition,the potential for shale gas development is closely tied to the structural characteristics of nano-scale organic matter(OM)pores within the reservoir.However,trad...As a critical component of the global energy transition,the potential for shale gas development is closely tied to the structural characteristics of nano-scale organic matter(OM)pores within the reservoir.However,traditional characterization techniques are constrained by insufficient resolution or complex sample preparation methods,which hinder in-situ observation of the molecular structure of organic matter at the edges of OM pores.This limitation has impeded further breakthroughs in understanding the formation mechanism of shale OM pores.To address this challenge,this study employs an innovative combination of focused ion beam-scanning electron microscopy(FIB-SEM)and high-resolution transmission electron microscopy(HRTEM).This approach enabled in situ observation of molecular structural changes in organic matter across different thermal evolution stages,facilitating an investigation into the intrinsic relationship between the formation and evolution of OM pores.Such insights contribute significantly to a deeper understanding of the microscopic mechanisms underlying the retention or densification of OM pores.The results demonstrate that as the thermal maturity of the shale samples increases,the molecular structure of organic matter at the edges of OM pores progressively transitions from a disordered short-range arrangement to an ordered layered stacking and significant graphitization phenomena occur during the over-maturity stage.Furthermore,two types of apparent nonpenetrating OM pores(honeycomb-like embryonic OM pores and densification OM pores)were observed in situ for the first time.Among them,the honeycomb-like embryonic OM pores exhibit a disordered short-range molecular structure,whereas the densification OM pores display a highly ordered layered stacking structure that is directly associated with the graphitization process.This study transcends the limitations of traditional technologies,offering novel methodologies and insights into elucidating the microscopic mechanisms underlying the dynamic evolution of shale OM pores.Simultaneously,it holds substantial guiding significance for assessing shale gas reservoirs and optimizing development strategies.展开更多
基金supported by the National Natural Science Foundation of China(NSFC)No.82071139(to S.Z.),81873720(to B.Y.),82270999(to R.B.)Key R&D Program of Sichuan Provincial Department of Science and Technology No.23ZDYF2130(to S.Z.)+2 种基金Sichuan Science and Technology Program No.2022NSFSC1382(to Y.H.)‘From Zero to One’Innovative Research Program of Sichuan University No.2022SCUH0022(to R.B.)Clinical Research Program of West China Hospital of Stomatology,LCYJ2023-DL-5。
文摘The anterior disc displacement(ADD)leads to temporomandibular joint osteoarthritis(TMJOA)and mandibular growth retardation in adolescents.To investigate the potential functional role of fibrocartilage stem cells(FCSCs)during the process,a surgical ADDTMJOA mouse model was established.From 1 week after model generation,ADD mice exhibited aggravated mandibular growth retardation with osteoarthritis(OA)-like joint cartilage degeneration,manifesting with impaired chondrogenic differentiation and loss of subchondral bone homeostasis.Lineage tracing using Gli1^(-)CreER^(+);Tm^(fl/-)mice and Sox9-CreER^(+);Tm^(fl/-)mice showed that ADD interfered with the chondrogenic capacity of Gli1+FCSCs as well as osteogenic differentiation of Sox9+lineage,mainly in the middle zone of TMJ cartilage.Then,a surgically induced disc reposition(DR)mouse model was generated.The inhibited FCSCs capacity was significantly alleviated by DR treatment in ADD mice.And both the ADD mice and adolescent ADD patients had significantly relieved OA phenotype and improved condylar growth after DR treatment.In conclusion,ADD-TMJOA leads to impaired chondrogenic progenitor capacity and osteogenesis differentiation of FCSCs lineage,resulting in cartilage degeneration and loss of subchondral bone homeostasis,finally causing TMJ growth retardation.DR at an early stage could significantly alleviate cartilage degeneration and restore TMJ cartilage growth potential.
基金the Guangdong Basic and Applied Basic Research Foundation(Nos.2019A1515110819 and 2020A1515010767)NRF-CRP grant“Two Dimensional Covalent Organic Framework:Synthesis and Applications”(No.NRF-CRP16-2015-02,funded by National Research Foundation,Prime Minister’s Office,Singapore)+1 种基金the Shenzhen Peacock Plan(No.KQTD2016053112042971)the National Natural Science Foundation of China(Nos.21802067 and 21771156).
文摘The on-surface self-assembly of inorganic atomic clusters and organic molecules offers significant opportunities to design novel hybrid materials with tailored functionalities.By adopting the advantages from both inorganic and organic components,the hybrid self-assembly molecules have shown great potential in future optoelectrical devices.Herein,we report the co-deposition of 4,8-diethynylbenzo[1,2-d-4,5-d0]bisoxazole(DEBBA)and Se atoms to produce a motif-adjustable organic–inorganic hybrid self-assembly system via the non-covalent interactions.By controlling the coverage of Se atoms,various chiral molecular networks containing Se,Se_(6),Se_(8),and terminal alkynes evolved on the Ag(111)surface.In particular,with the highest coverage of Se atoms,phase segregation into alternating one-dimensional chains of non-covalently bonded Se_(8) clusters and organic ligands has been noticed.The atom-coverage dependent evolution of self-assembly structures reflects the remarkable structural adaptability of Se clusters as building blocks based on the spontaneous resize to reach the maximum non-covalent interactions.This work has significantly extended the possibilities of flexible control in self-assembly nanostructures to enable more potential functions for broad applications.
基金supported by the Zhejiang Province Leading Geese Science and Technology Program(No.2025C02155)the National Natural Science Foundation of China(No.62471168).
文摘Nowadays,pre-training models on largescale datasets and fine-tuning models on task-specific datasets have become common paradigms,achieving impressive success in natural language processing and 2D vision.Nonetheless,the potential of this paradigm has not been fully explored in 3D vision due to the scale of the datasets.To overcome this,we propose BoostPoint,a novel pipeline that uses large-scale rendered images as 3D point cloud model inputs for pretraining and uses general 3D tasks for fine-tuning.In BoostPoint,we propose a novel learning-free image-topoint(I2P)module to transform raw pixels into required inputs.Specifically,we view pixels as unorganized points,including essential raw features(e.g.,color)and positional information(e.g.,coordinates).Employing simple linear iterative clustering(SLIC),the I2P module effectively groups these unorganized points into superpixels,facilitating point cloud backbone pretraining.Furthermore,we employ a modality-agnostic debiasing mechanism during pre-training to prevent negative transfer in downstream tasks.Extensive finetuning experiments show that BoostPoint provides significant improvements to 3D point cloud backbones for 3D point cloud classification and part segmentation.
基金supported by the National Natural Science Foundation of China(Grant Nos.42172171,U2244208,42302177)。
文摘As a critical component of the global energy transition,the potential for shale gas development is closely tied to the structural characteristics of nano-scale organic matter(OM)pores within the reservoir.However,traditional characterization techniques are constrained by insufficient resolution or complex sample preparation methods,which hinder in-situ observation of the molecular structure of organic matter at the edges of OM pores.This limitation has impeded further breakthroughs in understanding the formation mechanism of shale OM pores.To address this challenge,this study employs an innovative combination of focused ion beam-scanning electron microscopy(FIB-SEM)and high-resolution transmission electron microscopy(HRTEM).This approach enabled in situ observation of molecular structural changes in organic matter across different thermal evolution stages,facilitating an investigation into the intrinsic relationship between the formation and evolution of OM pores.Such insights contribute significantly to a deeper understanding of the microscopic mechanisms underlying the retention or densification of OM pores.The results demonstrate that as the thermal maturity of the shale samples increases,the molecular structure of organic matter at the edges of OM pores progressively transitions from a disordered short-range arrangement to an ordered layered stacking and significant graphitization phenomena occur during the over-maturity stage.Furthermore,two types of apparent nonpenetrating OM pores(honeycomb-like embryonic OM pores and densification OM pores)were observed in situ for the first time.Among them,the honeycomb-like embryonic OM pores exhibit a disordered short-range molecular structure,whereas the densification OM pores display a highly ordered layered stacking structure that is directly associated with the graphitization process.This study transcends the limitations of traditional technologies,offering novel methodologies and insights into elucidating the microscopic mechanisms underlying the dynamic evolution of shale OM pores.Simultaneously,it holds substantial guiding significance for assessing shale gas reservoirs and optimizing development strategies.
