As an integrated application of modern information technologies and artificial intelligence,Prognostic and Health Management(PHM)is important for machine health monitoring.Prediction of tool wear is one of the symboli...As an integrated application of modern information technologies and artificial intelligence,Prognostic and Health Management(PHM)is important for machine health monitoring.Prediction of tool wear is one of the symbolic applications of PHM technology in modern manufacturing systems and industry.In this paper,a multi-scale Convolutional Gated Recurrent Unit network(MCGRU)is proposed to address raw sensory data for tool wear prediction.At the bottom of MCGRU,six parallel and independent branches with different kernel sizes are designed to form a multi-scale convolutional neural network,which augments the adaptability to features of different time scales.These features of different scales extracted from raw data are then fed into a Deep Gated Recurrent Unit network to capture long-term dependencies and learn significant representations.At the top of the MCGRU,a fully connected layer and a regression layer are built for cutting tool wear prediction.Two case studies are performed to verify the capability and effectiveness of the proposed MCGRU network and results show that MCGRU outperforms several state-of-the-art baseline models.展开更多
BACKGROUND Exertional heat stroke(EHS)is a critical condition arising from prolonged physical exertion in high temperatures that typically presents with normal hemoglobin levels.However,atypical presentations can also...BACKGROUND Exertional heat stroke(EHS)is a critical condition arising from prolonged physical exertion in high temperatures that typically presents with normal hemoglobin levels.However,atypical presentations can also occur,leading to significant complications such as hemolytic anemia and organ dysfunction.CASE SUMMARY This case report describes a male patient who experienced moderate-to-severe anemia that was difficult to correct,with a confirmed diagnosis of microangiopathic hemolytic anemia accompanying multiple organ dysfunction syndrome,indicative of critical EHS.Despite intensive resuscitation efforts,the patient’s condition deteriorated,necessitating admission to the intensive care unit for advanced management.CONCLUSION This case highlights the importance of recognizing atypical presentations of EHS,particularly that with significant hemolytic anemia and concurrent organ failure.Clinicians should maintain a high level of suspicion for these complications in patients displaying symptoms of heat-related illness,especially when caused by strenuous activity,as early diagnosis and intervention are crucial to improve patient outcomes.展开更多
Accurate prediction of the state-of-charge(SOC)of battery energy storage system(BESS)is critical for its safety and lifespan in electric vehicles.To overcome the imbalance of existing methods between multi-scale featu...Accurate prediction of the state-of-charge(SOC)of battery energy storage system(BESS)is critical for its safety and lifespan in electric vehicles.To overcome the imbalance of existing methods between multi-scale feature fusion and global feature extraction,this paper introduces a novel multi-scale fusion(MSF)model based on gated recurrent unit(GRU),which is specifically designed for complex multi-step SOC prediction in practical BESSs.Pearson correlation analysis is first employed to identify SOC-related parameters.These parameters are then input into a multi-layer GRU for point-wise feature extraction.Concurrently,the parameters undergo patching before entering a dual-stage multi-layer GRU,thus enabling the model to capture nuanced information across varying time intervals.Ultimately,by means of adaptive weight fusion and a fully connected network,multi-step SOC predictions are rendered.Following extensive validation over multiple days,it is illustrated that the proposed model achieves an absolute error of less than 1.5%in real-time SOC prediction.展开更多
To perform landslide susceptibility prediction(LSP),it is important to select appropriate mapping unit and landslide-related conditioning factors.The efficient and automatic multi-scale segmentation(MSS)method propose...To perform landslide susceptibility prediction(LSP),it is important to select appropriate mapping unit and landslide-related conditioning factors.The efficient and automatic multi-scale segmentation(MSS)method proposed by the authors promotes the application of slope units.However,LSP modeling based on these slope units has not been performed.Moreover,the heterogeneity of conditioning factors in slope units is neglected,leading to incomplete input variables of LSP modeling.In this study,the slope units extracted by the MSS method are used to construct LSP modeling,and the heterogeneity of conditioning factors is represented by the internal variations of conditioning factors within slope unit using the descriptive statistics features of mean,standard deviation and range.Thus,slope units-based machine learning models considering internal variations of conditioning factors(variant slope-machine learning)are proposed.The Chongyi County is selected as the case study and is divided into 53,055 slope units.Fifteen original slope unit-based conditioning factors are expanded to 38 slope unit-based conditioning factors through considering their internal variations.Random forest(RF)and multi-layer perceptron(MLP)machine learning models are used to construct variant Slope-RF and Slope-MLP models.Meanwhile,the Slope-RF and Slope-MLP models without considering the internal variations of conditioning factors,and conventional grid units-based machine learning(Grid-RF and MLP)models are built for comparisons through the LSP performance assessments.Results show that the variant Slopemachine learning models have higher LSP performances than Slope-machine learning models;LSP results of variant Slope-machine learning models have stronger directivity and practical application than Grid-machine learning models.It is concluded that slope units extracted by MSS method can be appropriate for LSP modeling,and the heterogeneity of conditioning factors within slope units can more comprehensively reflect the relationships between conditioning factors and landslides.The research results have important reference significance for land use and landslide prevention.展开更多
BACKGROUND Carbapenem-resistant Enterobacteriaceae has become a significant public health concern as hospital outbreaks are now being frequently reported and these organisms are becoming difficult to treat with the av...BACKGROUND Carbapenem-resistant Enterobacteriaceae has become a significant public health concern as hospital outbreaks are now being frequently reported and these organisms are becoming difficult to treat with the available antibiotics.CASE SUMMARY An outbreak of VIM-producing Serratia marcescens occurred over a period of 11 wk(August,1 to October,18)in patients admitted to the adult polyvalent intensive care unit of the University of Campania“Luigi Vanvitelli”located in Naples.Four episodes occurred in three patients(two patients infected,and one patient colonized).All the strains revealed the production of VIM.CONCLUSION After three decades of carbapenem antibiotics use,the emergence of carbapenemresistance in Enterobacteriaceae has become a significant concern and a stricter control to preserve its clinical application is mandatory.This is,to our knowledge,the first outbreak of VIM-producing Serratia marcescens in Europe.Surveillance policies must be implemented to avoid future outbreaks.展开更多
The measurement,reporting,and verification(MRV) of climate finance was originated from discussions under the United Nations Framework Convention on Climate Change(UNFCCC).It has been one of the key issues of global cl...The measurement,reporting,and verification(MRV) of climate finance was originated from discussions under the United Nations Framework Convention on Climate Change(UNFCCC).It has been one of the key issues of global climate negotiations since 2009 and will continue to be of significant importance in addressing climate change and strengthening international trust.This paper analyses the concept,the objective,and the progress of the MRV of climate finance based on reviews of the latest literature and think-tank reports regarding climate finance regime and MRV.Following the analysis,challenges faced with the MRV of climate finance are illustrated.This paper presents that the comparability of climate finance data needs to be improved due to the variety of methodologies used for disaggregating climate finance.In addition,the integrality of the MRV system of climate finance has been impaired by the lack of feedback mechanism from the recipients to the contributors in reporting system.Furthermore,although accounting system of climate finance has been developing and improving,it remains incapacity in providing accurate data on disbursed climate finance.Responding to the above challenges,this paper proposes the key tasks in establishing a comprehensive MRV system for climate finance at international level.The tasks involve developing a measurement system with consistent data basis and accounting basis,a reporting system with more detailed guidance and standardized formats,as well as a verification mechanism balancing top-down and bottom-up review processes.In the last section,this paper concludes that the establishment of an improved MRV of climate finance requires concerted cooperation and negotiations between developed and developing country Parties under the UNFCCC.As one of the few developing country donors to the Global Environmental Facility(GEF),China is suggested to clarify its propositions as a developing country in aspects such as concept,coverage,and architecture of climate finance and MRV system,and gain bargaining power in improving operating and technical rules of international climate finance regime.展开更多
BACKGROUND Arytenoid cartilage dislocation is a rare and often overlooked complication of tracheal intubation or blunt laryngeal trauma.The most common symptom is persistent hoarseness.Although cases of arytenoid disl...BACKGROUND Arytenoid cartilage dislocation is a rare and often overlooked complication of tracheal intubation or blunt laryngeal trauma.The most common symptom is persistent hoarseness.Although cases of arytenoid dislocation due to tracheal intubation are reported more frequently in otolaryngology,reports on its occurrence in the intensive care unit(ICU)are lacking.We report a case of delayed diagnosis of arytenoid cartilage dislocation after tracheal intubation in the ICU.CASE SUMMARY A 20-year-old woman was referred to the ICU following a fall from a height.Her voice was normal;laryngeal computed tomography showed unremarkable findings on admission.However,due to deterioration of the patient’s condition,tracheal intubation,and emergency exploratory laparotomy followed by laparoscopic surgery two d later under general anesthesia were performed.After extubation,the patient was sedated and could not communicate effectively.On the 10th day after extubation,the patient complained of hoarseness and coughing with liquids,which was attributed to laryngeal edema and is common after tracheal intubation.Therefore,specific treatment was not administered.However,the patient’s symptoms did not improve.Five d later,an electronic laryngoscope examination revealed dislocation of the left arytenoid cartilage.The patient underwent arytenoid closed reduction under general anesthesia by an experienced otolaryngologist.Reported symptoms improved subsequently.The sixmonth follow up revealed that the hoarseness had resolved within four weeks of the reduction procedure.CONCLUSION Symptoms of arytenoid cartilage dislocation are difficult to identify in the ICU leading to missed or delayed diagnosis among patients.展开更多
I. The Organization’s contributions to the work of the Arctic Council’s Working Groups, Task Forces, and/or Expert Groups The United Nations Environment Programme (UN Environment) has been active as an Observer to t...I. The Organization’s contributions to the work of the Arctic Council’s Working Groups, Task Forces, and/or Expert Groups The United Nations Environment Programme (UN Environment) has been active as an Observer to the Arctic Council since 1996, taking part in the Council’s Ministerial, Senior Arctic Officials meetings and, together with its collaborating centre GRID-Arendal in Norway and the UN Environment World Conservation Monitoring Centre (UNEP-WCMC) in the UK, has engaged actively in the efforts of most of the Council’s scientific and technical working groups. As the United Nation’s organization setting the global environmental agenda and along with the Multilateral Environmental Agreement (MEA) it administers—including those on biological diversity, hazardous waste, chemicals and mercury—UN Environment has facilitated global outreach for some of the Council’s work. Notably, UN Environment continues to provide technical support on a number of assessment and monitoring activities as described below.展开更多
Recently,speech enhancement methods based on Generative Adversarial Networks have achieved good performance in time-domain noisy signals.However,the training of Generative Adversarial Networks has such problems as con...Recently,speech enhancement methods based on Generative Adversarial Networks have achieved good performance in time-domain noisy signals.However,the training of Generative Adversarial Networks has such problems as convergence difficulty,model collapse,etc.In this work,an end-to-end speech enhancement model based on Wasserstein Generative Adversarial Networks is proposed,and some improvements have been made in order to get faster convergence speed and better generated speech quality.Specifically,in the generator coding part,each convolution layer adopts different convolution kernel sizes to conduct convolution operations for obtaining speech coding information from multiple scales;a gated linear unit is introduced to alleviate the vanishing gradient problem with the increase of network depth;the gradient penalty of the discriminator is replaced with spectral normalization to accelerate the convergence rate of themodel;a hybrid penalty termcomposed of L1 regularization and a scale-invariant signal-to-distortion ratio is introduced into the loss function of the generator to improve the quality of generated speech.The experimental results on both TIMIT corpus and Tibetan corpus show that the proposed model improves the speech quality significantly and accelerates the convergence speed of the model.展开更多
CRISPR-Cas-based genome editing holds immense promise for advancing plant genomics and crop enhancement.However,the challenge of low editing activity complicates the identification of editing events.In this study,we i...CRISPR-Cas-based genome editing holds immense promise for advancing plant genomics and crop enhancement.However,the challenge of low editing activity complicates the identification of editing events.In this study,we introduce multiple single transcript unit surrogate reporter(STU-SR)systems to enhance the selection of genome-edited plants.These systems use the same single guide RNAs designed for endogenous genes to edit reporter genes,establishing a direct link between reporter gene editing activity and that of endogenous genes.Various strategies are used to restore functional reporter genes after genome editing,including efficient single-strand annealing(SSA)for homologous recombination in STUSR-SSA systems.STU-SR-base editor systems leverage base editing to reinstate the start codon,enriching C-to-T and A-to-G base editing events.Our results showcase the effectiveness of these STU-SR systems in enhancing genome editing events in the monocot rice,encompassing Cas9 nuclease-based targeted mutagenesis,cytosine base editing,and adenine base editing.The systems exhibit compatibility with Cas9 variants,such as the PAM-less SpRY,and are shown to boost genome editing in Brassica oleracea,a dicot vegetable crop.In summary,we have developed highly efficient and versatile STU-SR systems for enrichment of genome-edited plants.展开更多
BACKGROUND Tuberculosis (TB) is a rare etiology of the septic shock. Timely administration of the anti-microbial agents has shown mortality benefit. Prompt diagnosis and a high index of suspicion are crucial to the ma...BACKGROUND Tuberculosis (TB) is a rare etiology of the septic shock. Timely administration of the anti-microbial agents has shown mortality benefit. Prompt diagnosis and a high index of suspicion are crucial to the management. We present three cases of TBSS with poor outcome in the majority despite timely and susceptible antibiotic administration. CASE SUMMARY Sixty-seven-year-old woman with latent TB presented with fever, cough, and shortness of breath. She was promptly diagnosed with active TB and started on the appropriate anti-microbial regimen;she had a worsening clinical course with septic shock and multi-organ failure after initiation of antibiotics. Thirty-threeyear- old man immunocompromised with acquired immune deficiency syndrome presented with fever, anorexia and weight loss. He had no respiratory symptoms, and first chest X-ray was normal. He had enlarged liver, spleen and lymph nodes suspicious for lymphoma. Despite broad-spectrum antibiotics, he succumbed to refractory septic shock and multi-organ failure. It was shortly before his death that anti-TB antimicrobials were initiated based on pathology reports of bone marrow and lymph node biopsies. Forty-nine-year-old woman with asthma and latent TB admitted with cough and shortness of breath. Although Initial sputum analysis was negative, a subsequent broncho-alveolar lavage turned out to be positive for acid fast bacilli followed by initiation of susceptible ant-TB regimen. She had a downward spiral clinical course with shock, multi-organ failure and finally death. CONCLUSION Worse outcome despite timely initiation of appropriate antibiotics raises suspicion of TB immune reconstitution as a possible pathogenesis for TB septic shock.展开更多
基金Supported in part by Natural Science Foundation of China(Grant Nos.51835009,51705398)Shaanxi Province 2020 Natural Science Basic Research Plan(Grant No.2020JQ-042)Aeronautical Science Foundation(Grant No.2019ZB070001).
文摘As an integrated application of modern information technologies and artificial intelligence,Prognostic and Health Management(PHM)is important for machine health monitoring.Prediction of tool wear is one of the symbolic applications of PHM technology in modern manufacturing systems and industry.In this paper,a multi-scale Convolutional Gated Recurrent Unit network(MCGRU)is proposed to address raw sensory data for tool wear prediction.At the bottom of MCGRU,six parallel and independent branches with different kernel sizes are designed to form a multi-scale convolutional neural network,which augments the adaptability to features of different time scales.These features of different scales extracted from raw data are then fed into a Deep Gated Recurrent Unit network to capture long-term dependencies and learn significant representations.At the top of the MCGRU,a fully connected layer and a regression layer are built for cutting tool wear prediction.Two case studies are performed to verify the capability and effectiveness of the proposed MCGRU network and results show that MCGRU outperforms several state-of-the-art baseline models.
文摘BACKGROUND Exertional heat stroke(EHS)is a critical condition arising from prolonged physical exertion in high temperatures that typically presents with normal hemoglobin levels.However,atypical presentations can also occur,leading to significant complications such as hemolytic anemia and organ dysfunction.CASE SUMMARY This case report describes a male patient who experienced moderate-to-severe anemia that was difficult to correct,with a confirmed diagnosis of microangiopathic hemolytic anemia accompanying multiple organ dysfunction syndrome,indicative of critical EHS.Despite intensive resuscitation efforts,the patient’s condition deteriorated,necessitating admission to the intensive care unit for advanced management.CONCLUSION This case highlights the importance of recognizing atypical presentations of EHS,particularly that with significant hemolytic anemia and concurrent organ failure.Clinicians should maintain a high level of suspicion for these complications in patients displaying symptoms of heat-related illness,especially when caused by strenuous activity,as early diagnosis and intervention are crucial to improve patient outcomes.
基金supported in part by the National Natural Science Foundation of China(No.62172036).
文摘Accurate prediction of the state-of-charge(SOC)of battery energy storage system(BESS)is critical for its safety and lifespan in electric vehicles.To overcome the imbalance of existing methods between multi-scale feature fusion and global feature extraction,this paper introduces a novel multi-scale fusion(MSF)model based on gated recurrent unit(GRU),which is specifically designed for complex multi-step SOC prediction in practical BESSs.Pearson correlation analysis is first employed to identify SOC-related parameters.These parameters are then input into a multi-layer GRU for point-wise feature extraction.Concurrently,the parameters undergo patching before entering a dual-stage multi-layer GRU,thus enabling the model to capture nuanced information across varying time intervals.Ultimately,by means of adaptive weight fusion and a fully connected network,multi-step SOC predictions are rendered.Following extensive validation over multiple days,it is illustrated that the proposed model achieves an absolute error of less than 1.5%in real-time SOC prediction.
基金funded by the Natural Science Foundation of China(Grant Nos.41807285,41972280 and 52179103).
文摘To perform landslide susceptibility prediction(LSP),it is important to select appropriate mapping unit and landslide-related conditioning factors.The efficient and automatic multi-scale segmentation(MSS)method proposed by the authors promotes the application of slope units.However,LSP modeling based on these slope units has not been performed.Moreover,the heterogeneity of conditioning factors in slope units is neglected,leading to incomplete input variables of LSP modeling.In this study,the slope units extracted by the MSS method are used to construct LSP modeling,and the heterogeneity of conditioning factors is represented by the internal variations of conditioning factors within slope unit using the descriptive statistics features of mean,standard deviation and range.Thus,slope units-based machine learning models considering internal variations of conditioning factors(variant slope-machine learning)are proposed.The Chongyi County is selected as the case study and is divided into 53,055 slope units.Fifteen original slope unit-based conditioning factors are expanded to 38 slope unit-based conditioning factors through considering their internal variations.Random forest(RF)and multi-layer perceptron(MLP)machine learning models are used to construct variant Slope-RF and Slope-MLP models.Meanwhile,the Slope-RF and Slope-MLP models without considering the internal variations of conditioning factors,and conventional grid units-based machine learning(Grid-RF and MLP)models are built for comparisons through the LSP performance assessments.Results show that the variant Slopemachine learning models have higher LSP performances than Slope-machine learning models;LSP results of variant Slope-machine learning models have stronger directivity and practical application than Grid-machine learning models.It is concluded that slope units extracted by MSS method can be appropriate for LSP modeling,and the heterogeneity of conditioning factors within slope units can more comprehensively reflect the relationships between conditioning factors and landslides.The research results have important reference significance for land use and landslide prevention.
文摘BACKGROUND Carbapenem-resistant Enterobacteriaceae has become a significant public health concern as hospital outbreaks are now being frequently reported and these organisms are becoming difficult to treat with the available antibiotics.CASE SUMMARY An outbreak of VIM-producing Serratia marcescens occurred over a period of 11 wk(August,1 to October,18)in patients admitted to the adult polyvalent intensive care unit of the University of Campania“Luigi Vanvitelli”located in Naples.Four episodes occurred in three patients(two patients infected,and one patient colonized).All the strains revealed the production of VIM.CONCLUSION After three decades of carbapenem antibiotics use,the emergence of carbapenemresistance in Enterobacteriaceae has become a significant concern and a stricter control to preserve its clinical application is mandatory.This is,to our knowledge,the first outbreak of VIM-producing Serratia marcescens in Europe.Surveillance policies must be implemented to avoid future outbreaks.
基金supported by the National Natural Science Foundation of China project "The joint mechanism and macro-regulation mechanism for national emission trading market of China"[Grant Number:71503288]the Research Base Project of Beijing Philosophy and Social Science Foundation "Payments for Ecosystem Services Mechanism that Supports The Synergetic Development of Ecological Protection in Beijing-Tianjin-Hebei Region"[Grant Number:16JDYJC039]the project "Environmental Risk Management for Corporate Lending in China's Commercial Banks" sponsored by the Scientific Research Foundation for the returned overseas Chinese scholars,State Education Ministry
文摘The measurement,reporting,and verification(MRV) of climate finance was originated from discussions under the United Nations Framework Convention on Climate Change(UNFCCC).It has been one of the key issues of global climate negotiations since 2009 and will continue to be of significant importance in addressing climate change and strengthening international trust.This paper analyses the concept,the objective,and the progress of the MRV of climate finance based on reviews of the latest literature and think-tank reports regarding climate finance regime and MRV.Following the analysis,challenges faced with the MRV of climate finance are illustrated.This paper presents that the comparability of climate finance data needs to be improved due to the variety of methodologies used for disaggregating climate finance.In addition,the integrality of the MRV system of climate finance has been impaired by the lack of feedback mechanism from the recipients to the contributors in reporting system.Furthermore,although accounting system of climate finance has been developing and improving,it remains incapacity in providing accurate data on disbursed climate finance.Responding to the above challenges,this paper proposes the key tasks in establishing a comprehensive MRV system for climate finance at international level.The tasks involve developing a measurement system with consistent data basis and accounting basis,a reporting system with more detailed guidance and standardized formats,as well as a verification mechanism balancing top-down and bottom-up review processes.In the last section,this paper concludes that the establishment of an improved MRV of climate finance requires concerted cooperation and negotiations between developed and developing country Parties under the UNFCCC.As one of the few developing country donors to the Global Environmental Facility(GEF),China is suggested to clarify its propositions as a developing country in aspects such as concept,coverage,and architecture of climate finance and MRV system,and gain bargaining power in improving operating and technical rules of international climate finance regime.
基金Supported by the National Natural Science Foundation of China,No.82160020.
文摘BACKGROUND Arytenoid cartilage dislocation is a rare and often overlooked complication of tracheal intubation or blunt laryngeal trauma.The most common symptom is persistent hoarseness.Although cases of arytenoid dislocation due to tracheal intubation are reported more frequently in otolaryngology,reports on its occurrence in the intensive care unit(ICU)are lacking.We report a case of delayed diagnosis of arytenoid cartilage dislocation after tracheal intubation in the ICU.CASE SUMMARY A 20-year-old woman was referred to the ICU following a fall from a height.Her voice was normal;laryngeal computed tomography showed unremarkable findings on admission.However,due to deterioration of the patient’s condition,tracheal intubation,and emergency exploratory laparotomy followed by laparoscopic surgery two d later under general anesthesia were performed.After extubation,the patient was sedated and could not communicate effectively.On the 10th day after extubation,the patient complained of hoarseness and coughing with liquids,which was attributed to laryngeal edema and is common after tracheal intubation.Therefore,specific treatment was not administered.However,the patient’s symptoms did not improve.Five d later,an electronic laryngoscope examination revealed dislocation of the left arytenoid cartilage.The patient underwent arytenoid closed reduction under general anesthesia by an experienced otolaryngologist.Reported symptoms improved subsequently.The sixmonth follow up revealed that the hoarseness had resolved within four weeks of the reduction procedure.CONCLUSION Symptoms of arytenoid cartilage dislocation are difficult to identify in the ICU leading to missed or delayed diagnosis among patients.
文摘I. The Organization’s contributions to the work of the Arctic Council’s Working Groups, Task Forces, and/or Expert Groups The United Nations Environment Programme (UN Environment) has been active as an Observer to the Arctic Council since 1996, taking part in the Council’s Ministerial, Senior Arctic Officials meetings and, together with its collaborating centre GRID-Arendal in Norway and the UN Environment World Conservation Monitoring Centre (UNEP-WCMC) in the UK, has engaged actively in the efforts of most of the Council’s scientific and technical working groups. As the United Nation’s organization setting the global environmental agenda and along with the Multilateral Environmental Agreement (MEA) it administers—including those on biological diversity, hazardous waste, chemicals and mercury—UN Environment has facilitated global outreach for some of the Council’s work. Notably, UN Environment continues to provide technical support on a number of assessment and monitoring activities as described below.
基金supported by the National Science Foundation under Grant No.62066039.
文摘Recently,speech enhancement methods based on Generative Adversarial Networks have achieved good performance in time-domain noisy signals.However,the training of Generative Adversarial Networks has such problems as convergence difficulty,model collapse,etc.In this work,an end-to-end speech enhancement model based on Wasserstein Generative Adversarial Networks is proposed,and some improvements have been made in order to get faster convergence speed and better generated speech quality.Specifically,in the generator coding part,each convolution layer adopts different convolution kernel sizes to conduct convolution operations for obtaining speech coding information from multiple scales;a gated linear unit is introduced to alleviate the vanishing gradient problem with the increase of network depth;the gradient penalty of the discriminator is replaced with spectral normalization to accelerate the convergence rate of themodel;a hybrid penalty termcomposed of L1 regularization and a scale-invariant signal-to-distortion ratio is introduced into the loss function of the generator to improve the quality of generated speech.The experimental results on both TIMIT corpus and Tibetan corpus show that the proposed model improves the speech quality significantly and accelerates the convergence speed of the model.
基金supported by the National Key Research and Development Program of China(award no.2023YFD1202900)the National Science Foundation of China(award nos.32270433 and 32101205)+4 种基金the Natural Science Foundation of Sichuan Province(award no.2022NSFSC0143)to Y.Z.and X.T.,the Joint Science and Technology Project between Sichuan Province and Chongqing Municipality(award no.CSTC2021JSCXCYLHX0001)to H.S.and X.T.the Modern Seed Industry Project of Chongqing Municipal Science and Technology Bureau(award no.CSTB2023TIAD-KPX0025)to H.S.the National Science Foundation of China(award no.32301248)to Q.R.the National Science Foundation of China(award no.32072045)to X.Z.supported by the NSF Plant Genome Research Program(award nos.IOS-2029889 and IOS-2132693)to Y.Q.
文摘CRISPR-Cas-based genome editing holds immense promise for advancing plant genomics and crop enhancement.However,the challenge of low editing activity complicates the identification of editing events.In this study,we introduce multiple single transcript unit surrogate reporter(STU-SR)systems to enhance the selection of genome-edited plants.These systems use the same single guide RNAs designed for endogenous genes to edit reporter genes,establishing a direct link between reporter gene editing activity and that of endogenous genes.Various strategies are used to restore functional reporter genes after genome editing,including efficient single-strand annealing(SSA)for homologous recombination in STUSR-SSA systems.STU-SR-base editor systems leverage base editing to reinstate the start codon,enriching C-to-T and A-to-G base editing events.Our results showcase the effectiveness of these STU-SR systems in enhancing genome editing events in the monocot rice,encompassing Cas9 nuclease-based targeted mutagenesis,cytosine base editing,and adenine base editing.The systems exhibit compatibility with Cas9 variants,such as the PAM-less SpRY,and are shown to boost genome editing in Brassica oleracea,a dicot vegetable crop.In summary,we have developed highly efficient and versatile STU-SR systems for enrichment of genome-edited plants.
文摘BACKGROUND Tuberculosis (TB) is a rare etiology of the septic shock. Timely administration of the anti-microbial agents has shown mortality benefit. Prompt diagnosis and a high index of suspicion are crucial to the management. We present three cases of TBSS with poor outcome in the majority despite timely and susceptible antibiotic administration. CASE SUMMARY Sixty-seven-year-old woman with latent TB presented with fever, cough, and shortness of breath. She was promptly diagnosed with active TB and started on the appropriate anti-microbial regimen;she had a worsening clinical course with septic shock and multi-organ failure after initiation of antibiotics. Thirty-threeyear- old man immunocompromised with acquired immune deficiency syndrome presented with fever, anorexia and weight loss. He had no respiratory symptoms, and first chest X-ray was normal. He had enlarged liver, spleen and lymph nodes suspicious for lymphoma. Despite broad-spectrum antibiotics, he succumbed to refractory septic shock and multi-organ failure. It was shortly before his death that anti-TB antimicrobials were initiated based on pathology reports of bone marrow and lymph node biopsies. Forty-nine-year-old woman with asthma and latent TB admitted with cough and shortness of breath. Although Initial sputum analysis was negative, a subsequent broncho-alveolar lavage turned out to be positive for acid fast bacilli followed by initiation of susceptible ant-TB regimen. She had a downward spiral clinical course with shock, multi-organ failure and finally death. CONCLUSION Worse outcome despite timely initiation of appropriate antibiotics raises suspicion of TB immune reconstitution as a possible pathogenesis for TB septic shock.