With the continuous increase in the disposal volume of spent lithium-ion batteries(LIBs),properly recycling spent LIBs has become essential for the advancement of the circular economy.This study presents a systematic ...With the continuous increase in the disposal volume of spent lithium-ion batteries(LIBs),properly recycling spent LIBs has become essential for the advancement of the circular economy.This study presents a systematic analysis of the chlorination roasting kinetics and proposes a new two-step chlorination roasting process that integrates thermodynamics for the recycling of LIB cathode materials.The activation energy for the chloride reaction was 88.41 kJ/mol according to thermogravimetric analysis–derivative thermogravimetry data obtained by using model-free,model-fitting,and Z(α)function(αis conversion rate).Results indicated that the reaction was dominated by the first-order(F1)model when the conversion rate was less than or equal to 0.5 and shifted to the second-order(F2)model when the conversion rate exceeded 0.5.Optimal conditions were determined by thoroughly investigating the effects of roasting temperature,roasting time,and the mass ratio of NH_(4)Cl to LiCoO_(2).Under the optimal conditions,namely 400℃,20 min,and NH_(4)Cl/LiCoO_(2)mass ratio of 3:1,the leaching efficiency of Li and Co reached 99.43% and 99.05%,respectively.Analysis of the roasted products revealed that valuable metals in LiCoO_(2)transformed into CoCl_(2) and LiCl.Furthermore,the reaction mechanism was elucidated,providing insights for the establishment of a novel low-temperature chlorination roasting technology based on a crystal structure perspective.This technology can guide the development of LIB recycling processes with low energy consumption,low secondary pollution,high recovery efficiency,and high added value.展开更多
针对传统点积注意力缺乏方向性的问题,建立了一种基于余弦相似性的定向注意力模型(directed attention model,DAM)。为有效表示视频帧时空特征间的方向关系,运用余弦相似性理论,定义了注意力机制中关系函数,能够去除特征间关系绝对值;...针对传统点积注意力缺乏方向性的问题,建立了一种基于余弦相似性的定向注意力模型(directed attention model,DAM)。为有效表示视频帧时空特征间的方向关系,运用余弦相似性理论,定义了注意力机制中关系函数,能够去除特征间关系绝对值;为降低注意力机制计算量,从时间和空间两个维度上对运算进行分解;结合线性注意力运算,进一步优化计算复杂度。实验分为两个阶段:对定向注意力各模块开展了4个消融实验,以表现DAM在精确度和效率方面的最佳性能;该模型在Sth-Sth V1(somethingsomething V1)数据集上的精确度较I3D-NL(inflated 3D ConvNet non-local)高7.3%,在UCF101(101 human action classes from videos in the wild)数据集上的识别精确率为95.7%。研究成果在安全监控、自动驾驶等方面应用前景广泛。展开更多
Crohn’s disease(CD)is caused by immune,environmental,and genetic factors.It can involve the entire gastrointestinal tract,and although its prevalence is rapidly increasing its etiology remains unclear.Emerging biolog...Crohn’s disease(CD)is caused by immune,environmental,and genetic factors.It can involve the entire gastrointestinal tract,and although its prevalence is rapidly increasing its etiology remains unclear.Emerging biological and small-molecule drugs have advanced the treatment of CD;however,a considerable proportion of patients are non-responsive to all known drugs.To achieve a breakthrough in this field,innovations that could guide the further development of effective therapies are of utmost urgency.In this review,we first propose the innovative concept of pan-lymphatic dysfunction for the general distribution of lymphatic dysfunction in various diseases,and suggest that CD is the intestinal manifestation of pan-lymphatic dysfunction based on basic and clinical preliminary data.The supporting evidence is fully summarized,including the existence of lymphatic system dysfunction,recognition of the inside-out model,disorders of immune cells,changes in cell plasticity,partial overlap of the underlying mechanisms,and common gut-derived fatty and bile acid metabolism.Another benefit of this novel concept is that it proposes adopting the zebrafish model for studying intestinal diseases,especially CD,as this model is good at presenting and mimicking lymphatic dysfunction.More importantly,the ensuing focus on improving lymphatic function may lead to novel and promising therapeutic strategies for CD.展开更多
Circular RNAs(circRNAs)have been recognized as pivotal regulators in tumorigenesis,yet the biological functions as well as molecular mechanisms of the majority of circRNAs in hepatocellular carcinoma(HCC)remain elusiv...Circular RNAs(circRNAs)have been recognized as pivotal regulators in tumorigenesis,yet the biological functions as well as molecular mechanisms of the majority of circRNAs in hepatocellular carcinoma(HCC)remain elusive.We sought to unveil the expression profile and biological role of circMYBL2 in HCC.Initial microarray analyses were conducted to probe the expression profile of circMYBL2 in HCC cells,and qRT‒PCR analysis was then performed in HCC cell lines and tissues,revealing significant upregulation of circMYBL2.Subsequent experiments were conducted to evaluate the biological function of circMYBL2 in HCC progression.Furthermore,bioinformatics analysis,qRT‒PCR analysis,luciferase reporter assays,and western blot analysis were employed to investigate the interplay among circMYBL2,miR-1205,and E2F1.CircMYBL2 was found to exhibit marked upregulation in tumor tissues as well as HCC cell lines.Elevated expression of circMYBL2 increased the proliferation and migration of HCC cells,whereas circMYBL2 knockdown elicited contrasting effects.Mechanistically,our results indicated that circMYBL2 promoted E2F1 expression and facilitated HCC progression by sponging miR-1205.Our findings revealed that circMYBL2 contributed to HCC progression through the circMYBL2/miR-1205/E2F1 axis,suggesting the potential of circMYBL2 as a novel target for HCC treatment or a prognostic biomarker for HCC.展开更多
Effective monitoring of the structural health of combined coal-rock under complex geological conditions by pressure stimulated currents(PSCs)has great potential for the understanding of dynamic disasters in undergroun...Effective monitoring of the structural health of combined coal-rock under complex geological conditions by pressure stimulated currents(PSCs)has great potential for the understanding of dynamic disasters in underground engineering.To reveal the effect of this way,the uniaxial compression experiments with PSC monitoring were conducted on three types of coal-rock combination samples with different strength combinations.The mechanism explanation of PSCs are investigated by resistivity test,atomic force microscopy(AFM)and computed tomography(CT)methods,and a PSC flow model based on progressive failure process is proposed.The influence of strength combinations on PSCs in the progressive failure process are emphasized.The results show the PSC responses between rock part,coal part and the two components are different,which are affected by multi-scale fracture characteristics and electrical properties.As the rock strength decreases,the progressive failure process changes obviously with the influence range of interface constraint effect decreasing,resulting in the different responses of PSC strength and direction in different parts to fracture behaviors.The PSC flow model is initially validated by the relationship between the accumulated charges of different parts.The results are expected to provide a new reference and method for mining design and roadway quality assessment.展开更多
In light of the escalating global energy imperatives,mining of challenging-to-access resources,such as steeply inclined extra-thick coal seams(SIEC),has emerged as one of the future trends within the domain of energy ...In light of the escalating global energy imperatives,mining of challenging-to-access resources,such as steeply inclined extra-thick coal seams(SIEC),has emerged as one of the future trends within the domain of energy advancement.However,there is a risk of gas and coal spontaneous combustion coupling disasters(GCC)within the goaf of SIEC due to the complex goaf structure engendered by the unique mining methodologies of SIEC.To ensure that SIEC is mined safely and efficiently,this study conducts research on the GCC within the goaf of SIEC using field observation,theoretical analysis,and numerical modeling.The results demonstrate that the dip angle,the structural dimensions in terms of width-to-length ratio,and compressive strength of the overlying rock are the key factors contributing to the goaf instability of SIEC.The gangue was asymmetrically filled,primarily accumulating within the central and lower portions of the goaf,and the filling height increased proportionally with the advancing caving height,the expansion coefficient,and the thickness of the surrounding rock formation.The GCC occurs in the goaf of SIEC,with an air-return side range of 41 m and an air-intake side range of 14 m,at the intersection area of the“<”-shaped oxygen concentration distribution(coal spontaneous combustion)and the“>”-shaped gas concentration distribution(gas explosion).The optimal nitrogen flow rate is 1000 m3/h with an injection port situated 25 m away from the working face for the highest nitrogen diffusion efficacy and lowest risk of gas explosion,coal spontaneous combustion,and GCC.It has significant engineering applications for ensuring the safe mining of SIEC threatened by the GCC.展开更多
Microseismic source location is crucial for the early warning of rockburst risks.However,the conventional methods face challenges in terms of the microseismic wave velocity and arrival time accuracy.Intelligent techni...Microseismic source location is crucial for the early warning of rockburst risks.However,the conventional methods face challenges in terms of the microseismic wave velocity and arrival time accuracy.Intelligent techniques,such as the full convolutional neural network(FCNN),can capture spatial information but struggle with complex microseismic sequence.Combining the FCNN with the long shortterm memory(LSTM)network enables better time-series signal classification by integrating multiscale information and is therefore suitable for waveform location.The LSTM-FCNN model does not require extensive data preprocessing and it simplifies the microseismic source location through feature extraction.In this study,we utilized the LSTM-FCNN as a regression learning model to locate the seismic focus.Initially,the method of short-time-average/long-time-average(STA/LTA)arrival time picking was employed to augment spatiotemporal information.Subsequently,oversampling the on-site data was performed to address the issue of data imbalance,and finally,the performance of LSTM-FCNN was tested.Meanwhile,we compared the LSTM-FCNN model with previous deep-learning models.Our results demonstrated remarkable location capabilities with a mean absolute error(MAE)of only 7.16 m.The model can realize swift training and high accuracy,thereby significantly improving risk warning of rockbursts.展开更多
基金financially supported by the National Natural Science Foundation of China(No.52204310)the Guizhou Provincial Key Laboratory of Coal Clean Utilization(No.[2020]2001)+5 种基金the China Postdoctoral Science Foundation(Nos.2020TQ0059 and 2020M570967)the Natural Science Foundation of Liaoning Province(No.2021–MS–083)the Fundamental Research Funds for the Central Universities,China(No.N2125010)the Open Project Program of Key Laboratory of Metallurgical Emission Reduction&Resources Recycling(Anhui University of Technology),Ministry of Education(No.JKF22–02)the Foundation of Liupanshui Normal University(No.LPSSYZDZK202205)the Key Laboratory for Anisotropy and Texture of Materials,Ministry of Education,China。
文摘With the continuous increase in the disposal volume of spent lithium-ion batteries(LIBs),properly recycling spent LIBs has become essential for the advancement of the circular economy.This study presents a systematic analysis of the chlorination roasting kinetics and proposes a new two-step chlorination roasting process that integrates thermodynamics for the recycling of LIB cathode materials.The activation energy for the chloride reaction was 88.41 kJ/mol according to thermogravimetric analysis–derivative thermogravimetry data obtained by using model-free,model-fitting,and Z(α)function(αis conversion rate).Results indicated that the reaction was dominated by the first-order(F1)model when the conversion rate was less than or equal to 0.5 and shifted to the second-order(F2)model when the conversion rate exceeded 0.5.Optimal conditions were determined by thoroughly investigating the effects of roasting temperature,roasting time,and the mass ratio of NH_(4)Cl to LiCoO_(2).Under the optimal conditions,namely 400℃,20 min,and NH_(4)Cl/LiCoO_(2)mass ratio of 3:1,the leaching efficiency of Li and Co reached 99.43% and 99.05%,respectively.Analysis of the roasted products revealed that valuable metals in LiCoO_(2)transformed into CoCl_(2) and LiCl.Furthermore,the reaction mechanism was elucidated,providing insights for the establishment of a novel low-temperature chlorination roasting technology based on a crystal structure perspective.This technology can guide the development of LIB recycling processes with low energy consumption,low secondary pollution,high recovery efficiency,and high added value.
文摘针对传统点积注意力缺乏方向性的问题,建立了一种基于余弦相似性的定向注意力模型(directed attention model,DAM)。为有效表示视频帧时空特征间的方向关系,运用余弦相似性理论,定义了注意力机制中关系函数,能够去除特征间关系绝对值;为降低注意力机制计算量,从时间和空间两个维度上对运算进行分解;结合线性注意力运算,进一步优化计算复杂度。实验分为两个阶段:对定向注意力各模块开展了4个消融实验,以表现DAM在精确度和效率方面的最佳性能;该模型在Sth-Sth V1(somethingsomething V1)数据集上的精确度较I3D-NL(inflated 3D ConvNet non-local)高7.3%,在UCF101(101 human action classes from videos in the wild)数据集上的识别精确率为95.7%。研究成果在安全监控、自动驾驶等方面应用前景广泛。
文摘Crohn’s disease(CD)is caused by immune,environmental,and genetic factors.It can involve the entire gastrointestinal tract,and although its prevalence is rapidly increasing its etiology remains unclear.Emerging biological and small-molecule drugs have advanced the treatment of CD;however,a considerable proportion of patients are non-responsive to all known drugs.To achieve a breakthrough in this field,innovations that could guide the further development of effective therapies are of utmost urgency.In this review,we first propose the innovative concept of pan-lymphatic dysfunction for the general distribution of lymphatic dysfunction in various diseases,and suggest that CD is the intestinal manifestation of pan-lymphatic dysfunction based on basic and clinical preliminary data.The supporting evidence is fully summarized,including the existence of lymphatic system dysfunction,recognition of the inside-out model,disorders of immune cells,changes in cell plasticity,partial overlap of the underlying mechanisms,and common gut-derived fatty and bile acid metabolism.Another benefit of this novel concept is that it proposes adopting the zebrafish model for studying intestinal diseases,especially CD,as this model is good at presenting and mimicking lymphatic dysfunction.More importantly,the ensuing focus on improving lymphatic function may lead to novel and promising therapeutic strategies for CD.
基金supported by the Guangdong Basic and Applied Basic Research Foundation(No.2021A1515010403,Ning Lyu)Natural Science Foundation of Guangdong Province,China(No.1914050001553,Dong Chen).
文摘Circular RNAs(circRNAs)have been recognized as pivotal regulators in tumorigenesis,yet the biological functions as well as molecular mechanisms of the majority of circRNAs in hepatocellular carcinoma(HCC)remain elusive.We sought to unveil the expression profile and biological role of circMYBL2 in HCC.Initial microarray analyses were conducted to probe the expression profile of circMYBL2 in HCC cells,and qRT‒PCR analysis was then performed in HCC cell lines and tissues,revealing significant upregulation of circMYBL2.Subsequent experiments were conducted to evaluate the biological function of circMYBL2 in HCC progression.Furthermore,bioinformatics analysis,qRT‒PCR analysis,luciferase reporter assays,and western blot analysis were employed to investigate the interplay among circMYBL2,miR-1205,and E2F1.CircMYBL2 was found to exhibit marked upregulation in tumor tissues as well as HCC cell lines.Elevated expression of circMYBL2 increased the proliferation and migration of HCC cells,whereas circMYBL2 knockdown elicited contrasting effects.Mechanistically,our results indicated that circMYBL2 promoted E2F1 expression and facilitated HCC progression by sponging miR-1205.Our findings revealed that circMYBL2 contributed to HCC progression through the circMYBL2/miR-1205/E2F1 axis,suggesting the potential of circMYBL2 as a novel target for HCC treatment or a prognostic biomarker for HCC.
基金supported by National Key R&D Program of China(No.2022YFC3004705)the National Natural Science Foundation of China(Nos.52074280,52227901 and 52204249)National Natural Science Foundation of China Youth Fund(No.52104230).
文摘Effective monitoring of the structural health of combined coal-rock under complex geological conditions by pressure stimulated currents(PSCs)has great potential for the understanding of dynamic disasters in underground engineering.To reveal the effect of this way,the uniaxial compression experiments with PSC monitoring were conducted on three types of coal-rock combination samples with different strength combinations.The mechanism explanation of PSCs are investigated by resistivity test,atomic force microscopy(AFM)and computed tomography(CT)methods,and a PSC flow model based on progressive failure process is proposed.The influence of strength combinations on PSCs in the progressive failure process are emphasized.The results show the PSC responses between rock part,coal part and the two components are different,which are affected by multi-scale fracture characteristics and electrical properties.As the rock strength decreases,the progressive failure process changes obviously with the influence range of interface constraint effect decreasing,resulting in the different responses of PSC strength and direction in different parts to fracture behaviors.The PSC flow model is initially validated by the relationship between the accumulated charges of different parts.The results are expected to provide a new reference and method for mining design and roadway quality assessment.
基金support from the National Key R&D Program of China(Grant No.2022YFC3004704)the National Natural Science Foundation of China(Grant No.52374241)the National Natural Science Foundation of China Youth Foundation(Grant No.52104230).
文摘In light of the escalating global energy imperatives,mining of challenging-to-access resources,such as steeply inclined extra-thick coal seams(SIEC),has emerged as one of the future trends within the domain of energy advancement.However,there is a risk of gas and coal spontaneous combustion coupling disasters(GCC)within the goaf of SIEC due to the complex goaf structure engendered by the unique mining methodologies of SIEC.To ensure that SIEC is mined safely and efficiently,this study conducts research on the GCC within the goaf of SIEC using field observation,theoretical analysis,and numerical modeling.The results demonstrate that the dip angle,the structural dimensions in terms of width-to-length ratio,and compressive strength of the overlying rock are the key factors contributing to the goaf instability of SIEC.The gangue was asymmetrically filled,primarily accumulating within the central and lower portions of the goaf,and the filling height increased proportionally with the advancing caving height,the expansion coefficient,and the thickness of the surrounding rock formation.The GCC occurs in the goaf of SIEC,with an air-return side range of 41 m and an air-intake side range of 14 m,at the intersection area of the“<”-shaped oxygen concentration distribution(coal spontaneous combustion)and the“>”-shaped gas concentration distribution(gas explosion).The optimal nitrogen flow rate is 1000 m3/h with an injection port situated 25 m away from the working face for the highest nitrogen diffusion efficacy and lowest risk of gas explosion,coal spontaneous combustion,and GCC.It has significant engineering applications for ensuring the safe mining of SIEC threatened by the GCC.
基金financial support of the Fundamental Research Funds for the Central Universities(Grant No.2022XSCX35)the National Natural Science Foundation of China(Grant Nos.51934007 and 52104230).
文摘Microseismic source location is crucial for the early warning of rockburst risks.However,the conventional methods face challenges in terms of the microseismic wave velocity and arrival time accuracy.Intelligent techniques,such as the full convolutional neural network(FCNN),can capture spatial information but struggle with complex microseismic sequence.Combining the FCNN with the long shortterm memory(LSTM)network enables better time-series signal classification by integrating multiscale information and is therefore suitable for waveform location.The LSTM-FCNN model does not require extensive data preprocessing and it simplifies the microseismic source location through feature extraction.In this study,we utilized the LSTM-FCNN as a regression learning model to locate the seismic focus.Initially,the method of short-time-average/long-time-average(STA/LTA)arrival time picking was employed to augment spatiotemporal information.Subsequently,oversampling the on-site data was performed to address the issue of data imbalance,and finally,the performance of LSTM-FCNN was tested.Meanwhile,we compared the LSTM-FCNN model with previous deep-learning models.Our results demonstrated remarkable location capabilities with a mean absolute error(MAE)of only 7.16 m.The model can realize swift training and high accuracy,thereby significantly improving risk warning of rockbursts.
