Spinal cord injury (SCI) continues to be a pressing health and social problem. The injury leads to neuronal and glial cell death accompanied by degeneration of nerve fibers. There are currently no particularly effec...Spinal cord injury (SCI) continues to be a pressing health and social problem. The injury leads to neuronal and glial cell death accompanied by degeneration of nerve fibers. There are currently no particularly effective treatments. SCI causes profound disabil- ity of people affected and has attracted increased attention in the international field of neuroregeneration. For the past two decades, much hope has been placed in cell therapies for the restoration of both structure and function of the injured spinal cord. Embryonic and neural stem cells, olfactory ensheathing cells, microglia-like cells, Schwann cells, mesenchymal stem cells.展开更多
Exploring highly foldable batteries with no safety hazard is a crucial task for the realization of portable,wearable,and implantable electric devices.Given these concerns,developing solid-state batteries is one of the...Exploring highly foldable batteries with no safety hazard is a crucial task for the realization of portable,wearable,and implantable electric devices.Given these concerns,developing solid-state batteries is one of the most promising routes to achieve this aspiration.Because of the excellent flexibility and processability,polyvinylidene fluoride(PVDF) based electrolytes possess great potential to pack high energy density flexible batteries,however,suffers the various intrinsic shortcomings such as inferior ionic conductivity,a high degree of crystallinity,and lack of reactive groups.Clearing the progress of the present state and concluding the specific challenges faced by PVDF based electrolytes will help to develop PVDF based polymer batteries.In this review,we summarize the recent progress of gel polymer electrolytes and all solid polymer electrolytes based on PVDF.The ion transport mechanisms and preparation methods of PVDF based electrolytes are briefly introduced.Meanwhile,the current design principle and properties of electrolytes are highlighted and systematically discussed.Some peculiar modified strategies performed in lithium-sulfur batteries and lithium-oxygen batteries are also included.Finally,this review describes the challenges and prospects of some solid-state electrolytes to provide strategies for manufacturing high-performance PVDF electrolytes aimed at practical application with flexible requirements.展开更多
Aqueous zinc-ion batteries(ZIBs)have shown great potential in the fields of wearable devices,consumer electronics,and electric vehicles due to their high level of safety,low cost,and multiple electron transfer.The lay...Aqueous zinc-ion batteries(ZIBs)have shown great potential in the fields of wearable devices,consumer electronics,and electric vehicles due to their high level of safety,low cost,and multiple electron transfer.The layered cathode materials of ZIBs hold a stable structure during charge and discharge reactions owing to the ultrafast and straightforward(de)intercalation-type storage mechanism of Zn^(2+)ions in their tunable interlayer spacing and their abilities to accommodate other guest ions or molecules.Nevertheless,the challenges of inadequate energy density,dissolution of active materials,uncontrollable byproducts,increased internal pressure,and a large de-solvation penalty have been deemed an obstacle to the development of ZIBs.In this review,recent strategies on the structure regulation of layered materials for aqueous zinc-ion energy storage devices are systematically summarized.Finally,critical science challenges and future outlooks are proposed to guide and promote the development of advanced cathode materials for ZIBs.展开更多
The existing intelligent fault diagnosis techniques of bevel gear focus on single-sensor signal analysis under the steady operation condition.In this study,a new method is proposed based on ensemble deep transfer lear...The existing intelligent fault diagnosis techniques of bevel gear focus on single-sensor signal analysis under the steady operation condition.In this study,a new method is proposed based on ensemble deep transfer learning and multisensor signals to enhance the fault diagnosis adaptability and reliability of bevel gear under various operation conditions.First,a novel stacked autoencoder(NSAE)is constructed using a denoising autoencoder,batch normalization,and the Swish activation function.Second,a series of source-domain NSAEs with multisensor vibration signals is pretrained.Third,the good model parameters provided by the source-domain NSAEs are transferred to initialize the corresponding target-domain NSAEs.Finally,a modified voting fusion strategy is designed to obtain a comprehensive result.The multisensor signals collected under the different operation conditions of bevel gear are used to verify the proposed method.The comparison results show that the proposed method can diagnose different faults in an accurate and stable manner using only one target-domain sample,thereby outperforming the existing methods.展开更多
基金supported by grants 15-04-07527(AAR) and 16-34-60101(YOM) from Russian Foundation for Basic Researchsupported by a Presidential Grant for government support of young scientists(PhD) from the Russian Federation(MK-4020.2015.7)+1 种基金performed in accordance with Program of Competitive Growth of Kazan Federal Universitya subsidy allocated to Kazan Federal University for the state assignment in the sphere of scientific activities
文摘Spinal cord injury (SCI) continues to be a pressing health and social problem. The injury leads to neuronal and glial cell death accompanied by degeneration of nerve fibers. There are currently no particularly effective treatments. SCI causes profound disabil- ity of people affected and has attracted increased attention in the international field of neuroregeneration. For the past two decades, much hope has been placed in cell therapies for the restoration of both structure and function of the injured spinal cord. Embryonic and neural stem cells, olfactory ensheathing cells, microglia-like cells, Schwann cells, mesenchymal stem cells.
基金supported by the National Natural Science Foundation of China(Grant No.51502063)the Project for guiding local Science and Technology Development by Central Government of Chin(ZY18C04)+1 种基金the Fundamental Research Foundation for Universities of Heilongjiang Province(LGYC2018JQ006)the Science Funds for Young Innovative Talents of HUST(No.201505).
文摘Exploring highly foldable batteries with no safety hazard is a crucial task for the realization of portable,wearable,and implantable electric devices.Given these concerns,developing solid-state batteries is one of the most promising routes to achieve this aspiration.Because of the excellent flexibility and processability,polyvinylidene fluoride(PVDF) based electrolytes possess great potential to pack high energy density flexible batteries,however,suffers the various intrinsic shortcomings such as inferior ionic conductivity,a high degree of crystallinity,and lack of reactive groups.Clearing the progress of the present state and concluding the specific challenges faced by PVDF based electrolytes will help to develop PVDF based polymer batteries.In this review,we summarize the recent progress of gel polymer electrolytes and all solid polymer electrolytes based on PVDF.The ion transport mechanisms and preparation methods of PVDF based electrolytes are briefly introduced.Meanwhile,the current design principle and properties of electrolytes are highlighted and systematically discussed.Some peculiar modified strategies performed in lithium-sulfur batteries and lithium-oxygen batteries are also included.Finally,this review describes the challenges and prospects of some solid-state electrolytes to provide strategies for manufacturing high-performance PVDF electrolytes aimed at practical application with flexible requirements.
基金supported by the National Research Foundation(NRF)grants(2022R1A4A1032832 and 2019R1A6A1A10073079)funded by the Korean government(MSIT)
文摘Aqueous zinc-ion batteries(ZIBs)have shown great potential in the fields of wearable devices,consumer electronics,and electric vehicles due to their high level of safety,low cost,and multiple electron transfer.The layered cathode materials of ZIBs hold a stable structure during charge and discharge reactions owing to the ultrafast and straightforward(de)intercalation-type storage mechanism of Zn^(2+)ions in their tunable interlayer spacing and their abilities to accommodate other guest ions or molecules.Nevertheless,the challenges of inadequate energy density,dissolution of active materials,uncontrollable byproducts,increased internal pressure,and a large de-solvation penalty have been deemed an obstacle to the development of ZIBs.In this review,recent strategies on the structure regulation of layered materials for aqueous zinc-ion energy storage devices are systematically summarized.Finally,critical science challenges and future outlooks are proposed to guide and promote the development of advanced cathode materials for ZIBs.
基金the National Natural Science Foundation of China(Grant No.51905160)the Natural Science Foundation of Hunan Province(Grant No.2020JJ5072)the Fundamental Research Funds for the Central Universities(Grant No.531118010335)。
文摘The existing intelligent fault diagnosis techniques of bevel gear focus on single-sensor signal analysis under the steady operation condition.In this study,a new method is proposed based on ensemble deep transfer learning and multisensor signals to enhance the fault diagnosis adaptability and reliability of bevel gear under various operation conditions.First,a novel stacked autoencoder(NSAE)is constructed using a denoising autoencoder,batch normalization,and the Swish activation function.Second,a series of source-domain NSAEs with multisensor vibration signals is pretrained.Third,the good model parameters provided by the source-domain NSAEs are transferred to initialize the corresponding target-domain NSAEs.Finally,a modified voting fusion strategy is designed to obtain a comprehensive result.The multisensor signals collected under the different operation conditions of bevel gear are used to verify the proposed method.The comparison results show that the proposed method can diagnose different faults in an accurate and stable manner using only one target-domain sample,thereby outperforming the existing methods.