Lakes on the Tibetan Plateau(TP)are an indicator and sentinel of climatic changes[1].We extended lake area changes on the TP from 2010[2]to 2018,and provided a long and dense lake observations between the 1970s and 20...Lakes on the Tibetan Plateau(TP)are an indicator and sentinel of climatic changes[1].We extended lake area changes on the TP from 2010[2]to 2018,and provided a long and dense lake observations between the 1970s and 2018.We found that the number of lakes,with area larger than 1 km2,has in creased to?1,400 in 2018 from?1,000 in the 1970s.The total area of these lakes decreased between the 1970s and?1995,and then showed a robust increase,with the exception of a slight decrease in 2015.This expansion of the lakes on the highest plateau in rhe world is a response to a hydrological cycle intensified by recent climate changes[3].展开更多
A state-of-the-art review on monolayer electroplated and brazed cubic boron nitride（CBN） superabrasive wheels for grinding metallic materials has been provided in this article. The fabrication techniques and mechani...A state-of-the-art review on monolayer electroplated and brazed cubic boron nitride（CBN） superabrasive wheels for grinding metallic materials has been provided in this article. The fabrication techniques and mechanisms of the monolayer CBN wheels are discussed. Grain distribution, wheel dressing, wear behavior, and wheel performance are analyzed in detail. Sample applications of monolayer CBN wheel for grinding steels, titanium alloys, and nickel-based superalloys are also provided. Finally, this article highlights opportunities for further investigation of monolayer CBN grinding wheels.展开更多
Background:Liver cancer is a malignancy with high morbidity and mortality rates.Serpin family E member 2(SERPINE2)has been reported to play a key role in the metastasis of many tumors.In this study,we aimed to investi...Background:Liver cancer is a malignancy with high morbidity and mortality rates.Serpin family E member 2(SERPINE2)has been reported to play a key role in the metastasis of many tumors.In this study,we aimed to investigate the potential mechanism of SERPINE2 in liver cancer metastasis.Methods:The Cancer Genome Atlas database(TCGA),including DNA methy-lation and transcriptome sequencing data,was utilized to identify the crucial oncogene associated with DNA methylation and cancer progression in liver can-cer.Data from the TCGA and RNA sequencing for 94 pairs of liver cancer tissues were used to explore the correlation between SERPINE2 expression and clin-ical parameters of patients.DNA methylation sequencing was used to detect the DNA methylation levels in liver cancer tissues and cells.RNA sequencing,cytokine assays,immunoprecipitation(IP)and mass spectrometry(MS)assays,protein stability assays,and ubiquitination assays were performed to explore the regulatory mechanism of SERPINE2 in liver cancer metastasis.Patient-derived xenografts and tumor organoid models were established to determine the role of SERPINE2 in the treatment of liver cancer using sorafenib.Results:Based on the public database screening,SERPINE2 was identified as a tumor promoter regulated by DNA methylation.SERPINE2 expression was significantly higher in liver cancer tissues and was associated with the dismal prognosis in patients with liver cancer.SERPINE2 promoted liver cancer metas-tasis by enhancing cell pseudopodia formation,cell adhesion,cancer-associated fibroblast activation,extracellular matrix remodeling,and angiogenesis.IP/MS assays confirmed that SERPINE2 activated epidermal growth factor receptor(EGFR)and its downstream signaling pathways by interacting with EGFR.Mechanistically,SERPINE2 inhibited EGFR ubiquitination and maintained its protein stability by competing with the E3 ubiquitin ligase,c-Cbl.Additionally,EGFR was activated in liver cancer cells after sorafenib treatment,and SER-PINE2 knockdown-induced EGFR downregulation sig展开更多
At present,super-resolution algorithms are employed to tackle the challenge of low image resolution,but it is difficult to extract differentiated feature details based on various inputs,resulting in poor generalizatio...At present,super-resolution algorithms are employed to tackle the challenge of low image resolution,but it is difficult to extract differentiated feature details based on various inputs,resulting in poor generalization ability.Given this situation,this study first analyzes the features of some feature extraction modules of the current super-resolution algorithm and then proposes an adaptive feature fusion block(AFB)for feature extraction.This module mainly comprises dynamic convolution,attention mechanism,and pixel-based gating mechanism.Combined with dynamic convolution with scale information,the network can extract more differentiated feature information.The introduction of a channel spatial attention mechanism combined with multi-feature fusion further enables the network to retain more important feature information.Dynamic convolution and pixel-based gating mechanisms enhance the module’s adaptability.Finally,a comparative experiment of a super-resolution algorithm based on the AFB module is designed to substantiate the efficiency of the AFB module.The results revealed that the network combined with the AFB module has stronger generalization ability and expression ability.展开更多
In the field of natural language processing(NLP),there have been various pre-training language models in recent years,with question answering systems gaining significant attention.However,as algorithms,data,and comput...In the field of natural language processing(NLP),there have been various pre-training language models in recent years,with question answering systems gaining significant attention.However,as algorithms,data,and computing power advance,the issue of increasingly larger models and a growing number of parameters has surfaced.Consequently,model training has become more costly and less efficient.To enhance the efficiency and accuracy of the training process while reducing themodel volume,this paper proposes a first-order pruningmodel PAL-BERT based on the ALBERT model according to the characteristics of question-answering(QA)system and language model.Firstly,a first-order network pruning method based on the ALBERT model is designed,and the PAL-BERT model is formed.Then,the parameter optimization strategy of the PAL-BERT model is formulated,and the Mish function was used as an activation function instead of ReLU to improve the performance.Finally,after comparison experiments with traditional deep learning models TextCNN and BiLSTM,it is confirmed that PALBERT is a pruning model compression method that can significantly reduce training time and optimize training efficiency.Compared with traditional models,PAL-BERT significantly improves the NLP task’s performance.展开更多
Metal-organic frameworks(MOFs)functionalized with open metal sites(OMSs)have received widespread attention in various applications due to their fascinating electronic properties and unique interactions with guest mole...Metal-organic frameworks(MOFs)functionalized with open metal sites(OMSs)have received widespread attention in various applications due to their fascinating electronic properties and unique interactions with guest molecules.However,rational tailoring of the coordination environment of metal nodes dur-ing the synthesis of MOFs remains a great challenge due to their tendency of saturated coordination with linkers.Herein,we reported the construction of three new MOFs featuring unsaturated Cu(Ⅱ)sites,namely[Cu(HCOO)(pzta)]_(n)(HL-1),{[Cu(PTA)0.5(pzta)(H_(2)O)]·2H_(2)O}_(n)(HL-2)and[Cu(NA)0.5(pzta)]_(n)(HL-3)(Hpzta=3-pyrazinyl-1,2,4-triazole;PTA=terephthalic acid;NA=1,4-naphthalene dicarboxylic acid),based on the mixed-linker strategy via specific selection of versatile Hpzta ligand and carboxylate ligands.Re-markably,the obtained MOFs exhibited excellent activity and good recyclability for the catalytic reduction of nitroaromatics under mild conditions(25℃and 1 atm).In particular,the complete conversion of 4-nitrophenol(4-NP)took only 30 s on HL-2,reaching a record-high TOF value compared with previously reported metal catalysts.The combined experimental and theoretical studies on HL-2 revealed that the open Cu site with positive-charged nature could improve the adsorption and subsequent electron trans-port between the substrates,and was responsible for the outstanding performance.This work shined lights on the further enhancement of performance for MOFs through rational OMSs construction.展开更多
基金supported by the National Key R&D Program of China (2018YFB0505005)the National Natural Science Foundation of China (41871056, 21661132003, and 41571068)the Strategic Priority Research Program (A) of the Chinese Academy of Sciences (XDA20060201)
文摘Lakes on the Tibetan Plateau(TP)are an indicator and sentinel of climatic changes[1].We extended lake area changes on the TP from 2010[2]to 2018,and provided a long and dense lake observations between the 1970s and 2018.We found that the number of lakes,with area larger than 1 km2,has in creased to?1,400 in 2018 from?1,000 in the 1970s.The total area of these lakes decreased between the 1970s and?1995,and then showed a robust increase,with the exception of a slight decrease in 2015.This expansion of the lakes on the highest plateau in rhe world is a response to a hydrological cycle intensified by recent climate changes[3].
基金financial support for this work by the National Natural Science Foundation of China (Nos. 51235004 and 51375235)the Fundamental Research Funds for the Central Universities (Nos. NE2014103 and NZ2016107)
文摘A state-of-the-art review on monolayer electroplated and brazed cubic boron nitride（CBN） superabrasive wheels for grinding metallic materials has been provided in this article. The fabrication techniques and mechanisms of the monolayer CBN wheels are discussed. Grain distribution, wheel dressing, wear behavior, and wheel performance are analyzed in detail. Sample applications of monolayer CBN wheel for grinding steels, titanium alloys, and nickel-based superalloys are also provided. Finally, this article highlights opportunities for further investigation of monolayer CBN grinding wheels.
基金This work was supported by grants from the National Nat-ural Science Foundation of China(82070652 and 81870434)Department of Science and Technology of Zhejiang Province(2020C04003)+2 种基金the Chinese Academy of Medi-cal Sciences(019-I2M-5-030)the Jinan Microecological Biomedicine Shandong Laboratory(JNL-2022007B)the State Key Laboratory for Diagnosis and Treatment of Infectious Diseases(zz202302).
文摘Background:Liver cancer is a malignancy with high morbidity and mortality rates.Serpin family E member 2(SERPINE2)has been reported to play a key role in the metastasis of many tumors.In this study,we aimed to investigate the potential mechanism of SERPINE2 in liver cancer metastasis.Methods:The Cancer Genome Atlas database(TCGA),including DNA methy-lation and transcriptome sequencing data,was utilized to identify the crucial oncogene associated with DNA methylation and cancer progression in liver can-cer.Data from the TCGA and RNA sequencing for 94 pairs of liver cancer tissues were used to explore the correlation between SERPINE2 expression and clin-ical parameters of patients.DNA methylation sequencing was used to detect the DNA methylation levels in liver cancer tissues and cells.RNA sequencing,cytokine assays,immunoprecipitation(IP)and mass spectrometry(MS)assays,protein stability assays,and ubiquitination assays were performed to explore the regulatory mechanism of SERPINE2 in liver cancer metastasis.Patient-derived xenografts and tumor organoid models were established to determine the role of SERPINE2 in the treatment of liver cancer using sorafenib.Results:Based on the public database screening,SERPINE2 was identified as a tumor promoter regulated by DNA methylation.SERPINE2 expression was significantly higher in liver cancer tissues and was associated with the dismal prognosis in patients with liver cancer.SERPINE2 promoted liver cancer metas-tasis by enhancing cell pseudopodia formation,cell adhesion,cancer-associated fibroblast activation,extracellular matrix remodeling,and angiogenesis.IP/MS assays confirmed that SERPINE2 activated epidermal growth factor receptor(EGFR)and its downstream signaling pathways by interacting with EGFR.Mechanistically,SERPINE2 inhibited EGFR ubiquitination and maintained its protein stability by competing with the E3 ubiquitin ligase,c-Cbl.Additionally,EGFR was activated in liver cancer cells after sorafenib treatment,and SER-PINE2 knockdown-induced EGFR downregulation sig
基金Supported by Sichuan Science and Technology Program(2021YFQ0003,2023YFSY0026,2023YFH0004).
文摘At present,super-resolution algorithms are employed to tackle the challenge of low image resolution,but it is difficult to extract differentiated feature details based on various inputs,resulting in poor generalization ability.Given this situation,this study first analyzes the features of some feature extraction modules of the current super-resolution algorithm and then proposes an adaptive feature fusion block(AFB)for feature extraction.This module mainly comprises dynamic convolution,attention mechanism,and pixel-based gating mechanism.Combined with dynamic convolution with scale information,the network can extract more differentiated feature information.The introduction of a channel spatial attention mechanism combined with multi-feature fusion further enables the network to retain more important feature information.Dynamic convolution and pixel-based gating mechanisms enhance the module’s adaptability.Finally,a comparative experiment of a super-resolution algorithm based on the AFB module is designed to substantiate the efficiency of the AFB module.The results revealed that the network combined with the AFB module has stronger generalization ability and expression ability.
基金Supported by Sichuan Science and Technology Program(2021YFQ0003,2023YFSY0026,2023YFH0004).
文摘In the field of natural language processing(NLP),there have been various pre-training language models in recent years,with question answering systems gaining significant attention.However,as algorithms,data,and computing power advance,the issue of increasingly larger models and a growing number of parameters has surfaced.Consequently,model training has become more costly and less efficient.To enhance the efficiency and accuracy of the training process while reducing themodel volume,this paper proposes a first-order pruningmodel PAL-BERT based on the ALBERT model according to the characteristics of question-answering(QA)system and language model.Firstly,a first-order network pruning method based on the ALBERT model is designed,and the PAL-BERT model is formed.Then,the parameter optimization strategy of the PAL-BERT model is formulated,and the Mish function was used as an activation function instead of ReLU to improve the performance.Finally,after comparison experiments with traditional deep learning models TextCNN and BiLSTM,it is confirmed that PALBERT is a pruning model compression method that can significantly reduce training time and optimize training efficiency.Compared with traditional models,PAL-BERT significantly improves the NLP task’s performance.
基金supported by the National Natural Science Foundation of China(Nos.21902022,81903501,21601028)Qingchuang Science and Technology Plan of Shandong Province(No.2021KJ054)+1 种基金the Natural Science Foundation of Shandong Province(Nos.ZR2018LB018,ZR2019QB026,ZR2022QB058,ZR2020KB014)Scientific Research Foundation of Dezhou University(Nos.30101905,30102708,30102701).
文摘Metal-organic frameworks(MOFs)functionalized with open metal sites(OMSs)have received widespread attention in various applications due to their fascinating electronic properties and unique interactions with guest molecules.However,rational tailoring of the coordination environment of metal nodes dur-ing the synthesis of MOFs remains a great challenge due to their tendency of saturated coordination with linkers.Herein,we reported the construction of three new MOFs featuring unsaturated Cu(Ⅱ)sites,namely[Cu(HCOO)(pzta)]_(n)(HL-1),{[Cu(PTA)0.5(pzta)(H_(2)O)]·2H_(2)O}_(n)(HL-2)and[Cu(NA)0.5(pzta)]_(n)(HL-3)(Hpzta=3-pyrazinyl-1,2,4-triazole;PTA=terephthalic acid;NA=1,4-naphthalene dicarboxylic acid),based on the mixed-linker strategy via specific selection of versatile Hpzta ligand and carboxylate ligands.Re-markably,the obtained MOFs exhibited excellent activity and good recyclability for the catalytic reduction of nitroaromatics under mild conditions(25℃and 1 atm).In particular,the complete conversion of 4-nitrophenol(4-NP)took only 30 s on HL-2,reaching a record-high TOF value compared with previously reported metal catalysts.The combined experimental and theoretical studies on HL-2 revealed that the open Cu site with positive-charged nature could improve the adsorption and subsequent electron trans-port between the substrates,and was responsible for the outstanding performance.This work shined lights on the further enhancement of performance for MOFs through rational OMSs construction.
